CN102355004B - Distributed photovoltaic power generation regional integrated control system - Google Patents
Distributed photovoltaic power generation regional integrated control system Download PDFInfo
- Publication number
- CN102355004B CN102355004B CN201110279751.8A CN201110279751A CN102355004B CN 102355004 B CN102355004 B CN 102355004B CN 201110279751 A CN201110279751 A CN 201110279751A CN 102355004 B CN102355004 B CN 102355004B
- Authority
- CN
- China
- Prior art keywords
- control system
- power
- distributed
- photovoltaic
- integrated control
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A30/00—Adapting or protecting infrastructure or their operation
- Y02A30/60—Planning or developing urban green infrastructure
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
Abstract
The invention discloses a distributed photovoltaic power generation regional integrated control system, which comprises a photovoltaic cell array, a distributed inverter control system, a sensor network, an intra-region electric control system, a regional integrated control center system and a power dispatching control center, wherein the photovoltaic cell array converts photovoltaic energy into direct current electric energy; the distributed inverter control system is used for control over the photovoltaic cell array and direct current inversion; the sensor network and the intra-region electric control system are used for monitoring and controlling each piece of electric equipment in a region and ensuring the safety of electric facilities; the regional integrated control center system manages power generation running and centralized grid connection in the region; and the power dispatching control center is used for regional status monitoring and power dispatching. By the system, low-power distributed photovoltaic power generation devices in a certain region can be connected with one another for centralized grid connection management and accept the dispatching of the power dispatching control center to realize a flexible, high-efficiency and reliable utilization form for photovoltaic power, the remote parameter measurement and control of a photovoltaic power generation system and the power dispatching.
Description
Technical field
The present invention relates to distributed photovoltaic power generation grid-connected system and Detection & Controling field thereof, especially relate to the grid-connected mode of distributed photovoltaic power generation regional ensemble and control system.
Background technology
Along with expanding economy, energy shortage is the problem that whole world every country all faces.Simultaneously be faced with exhausted danger as most important available fossil energy material as coal, oil, natural gas etc., it is more and more serious that energy shortage problem is just becoming, and have influence on people's living standard.On the other hand, the problem such as environmental pollution, climate warming that fossil energy brings cannot be ignored, has affected development and the popularization of sustainable development, energy-conserving and environment-protective theory, just more and more receives people's concern.In numerous novel energies, solar energy have cleanliness without any pollution, safe and reliable, restriction less, the advantage such as inexhaustible not to the utmost, the sustainable use used, thereby there is incomparable advantage.Distributed power generation can electric power on-site elimination, saves power transmission and transformation investment and operating cost, reduces the line loss of concentrating transmission of electricity; And complement one another with large mains supply, reducing net capacity, peak load shifting, improves power supply reliability.
But photovoltaic generation itself has the randomness and the intermittent feature that are different from normal power supplies, its quality of power supply and safe and stable operation being incorporated into the power networks to electrical network forms certain threat.On the one hand, the trend that the injection of photovoltaic power has changed partial electric grid distributes, and quality of voltage and stability to partial electric grid have a significant impact, and have limited mode and the scale of photovoltaic generation connecting system.On the other hand, the motive power controllability of photovoltaic generation is not strong, whether in generating state and the limited size that goes out merit in the performance of weather conditions and photovoltaic system.From the angle of electrical network, the photovoltaic generation being incorporated into the power networks is equivalent to a disturbing source with randomness, may impact the reliability service of electrical network at any time.Therefore the operation of power networks that, above-mentioned photovoltaic generating system causes due to the quality of power supply, unsteadiness, island effect etc. and safety problem have greatly limited large-scale promotion and the application of China's small-power distributed photovoltaic power generation system.
The distributed photovoltaic power generation of China does not also enter the popularization stage, and current demonstrative project engineering is still taking the construction of jumbo photovoltaic plant as main.Except large-sized photovoltaic power station, " golden sun demonstration project " has advantages of distributed photovoltaic power generation, but due to technical reason, its electric power is mainly taking on-site elimination as main, its control centre can only monitor distributed power station parameter, uncontrollablely more cannot carry out power scheduling.Taking Germany, Japan in the solar power generation developed country of representative, generally grid-connected as distributed photovoltaic power generation unit taking only solitary building, obtained good application.But specifically practicing in process, there are this many defects in existing this distributed photovoltaic power generation net mode:
1) each distributed photovoltaic power generation unit independently becomes a system, and its unit scale is less, and quantity is too many, and cost height is uneconomical.
2) distributed photovoltaic unit small scale, by different owners are had, Power quality management inconvenience, is also not easy to electrical network periodic maintenance, has potential safety hazard.
3) due to small scale, quantity is many, cannot carry out electric power United Dispatching, brings great burden to the power scheduling of existing electrical network, and has the danger of islet operation.
4) independent dispersion, electrical network access point is numerous, and intelligent instrument is installed complicated, and parameter detecting cost is high, for the popularization of intelligent grid brings burden.
In sum, existing distributed photovoltaic power generation net mode and control system are not economical and practical, do not possess the technical foundation of large-scale promotion.
Summary of the invention
For overcome existing distributed photovoltaic power generation net mode and stability of control system poor, cannot concentrate parallel control, cannot carry out power scheduling, the poor deficiency of maintainability, the invention provides a kind ofly improve the distributed photovoltaic power generation stability of a system, concentrate grid-connected centralized monitor scheduling, strengthen maintainability distributed photovoltaic power generation regional ensemble and net mode and control system.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of distributed photovoltaic power generation regional integrated control system, comprises electric control system, District integrated control centring system and power scheduling control centre in photovoltaic battery array, distributed inverse control system, sensing network, region.Described photovoltaic battery array is connected with described distributed inverse control system, described distributed inverse control system is connected with described District integrated control centring system, described sensing network is connected with photovoltaic battery array, distributed inverse control system and District integrated control centring system respectively, in described region, electric control system is connected with distributed inverse control system, District integrated control centring system respectively, described District integrated control centring system is connected with utility grid, and described District integrated control centring system is connected with power scheduling control centre.
Described photovoltaic battery array is installed on each building top in region, composition multiple unit distributed photovoltaic array, and its watt level is suited measures to local conditions, and can be determined by the factor such as illuminating area, shadow region by building roof.Each photovoltaic battery array unit DC power output imports distributed inverse control system through header box.Each its operating voltage of photovoltaic battery array unit and power stage are controlled in real time by described distributed inverse control system.
Described distributed inverse control system is made up of many inverse control systems corresponding to photovoltaic battery array unit.Described inverse control system monomer is made up of direct current power inversion module, maximum power point tracking module, communication module.
Further, the direct current power inversion module of inverse control system adopts three-phase transless (Transformerless) hybrid H-bridge (MOSFET+IGBT) topological structure, has advantages of that efficiency is high, two-way changing and reactive power compensation.It is the industrial-frequency alternating current of 380 volts that photovoltaic battery array is exported to direct current power inversion.
Further, the maximum power point tracking module of inverse control system is made up of two BOOST-BUCK control circuits and adaptive neuro-fuzzy inference (adaptive neuro-fuzzy inference, ANFI) algorithm.Adopt ANFI algorithm to draw the optimum operating voltage of photovoltaic cell according to the relation property of the working environment parameters such as the I-V of photovoltaic cell, P-V characteristic curve and temperature, solar irradiance, the operating voltage of then modulating in real time photovoltaic cell by two BOOST-BUCK control circuits, makes it power output maximum.
Further, the fuzzy inference system of described adaptive neuro-fuzzy inference algorithm based on adaptive neural network, adopt five layers of ANFI neural network structure of Sugeno fuzzy model, form input vector u (V by current voltage, electric current, power, temperature, solar irradiance parameter, I, P, T, R) optimum operating voltage that, output f (u) is maximum power point.
Further, the communication module of inverse control system adopts fieldbus industrial communication agreement and described District integrated control center to carry out exchanges data, the parameters such as operating state, voltage, electric current, power factor (PF), active power are uploaded to described District integrated control center, and accept the order at described District integrated control center.
Described sensing network is made up of sensor network and data fusion module.Described sensor network comprises the compositions such as sets of temperature sensors, Yanguan Pass radiancy transducer group, Hall current sensor group, Hall voltage transducer group, frequency sensor group, thermal imagery leakage current sensor group.Described temperature, solar irradiation degree transducer are arranged in described photovoltaic battery array scene, described Hall current sensor group, Hall voltage transducer group, thermal imagery leakage current sensor group etc. are arranged in described distributed inversion control, for detection of the operating state of photovoltaic battery array and distributed inverse control system.Described data fusion module gathers the data of each sensor assembly and calculates power, power factor (PF), meritorious and reactive power, temperature etc. by Ampere's law, Wien displacement blackbody radiation law etc., and adopts quantitative flexible strategy normalization algorithm data to be processed and sent promptly for scene order.
Described quantitative flexible strategy normalizing algorithm is weighted power varying offset amount, frequency change side-play amount, change in voltage side-play amount, curent change side-play amount, variations in temperature side-play amount, then be normalized to [0 1] interval urgency level, in the time that normalization urgency level is greater than set threshold vector, be corresponding unsafe condition, corresponding promptly for scene order by sending.
In described region, electric control system is accepted distributed inverse control system provisional orders and the order of District integrated control center, for changing the operating state of described photovoltaic battery array, distributed inverse control system in region, control electric installation safety in generated output, support area.
Described District integrated control centring system is collected electrical module, communication module, data fusion and decision making algorithm, host computer application software etc. by electric power and is formed.
Further, the electric power of described District integrated control centring system collects electrical module and is made up of major parts such as transformer, air switch, relay, logic programmable controllers, and 380 volts of industrial-frequency alternating current parallel connections of distributed inverse control system institute inversion are collected to access utility grid.
Further, the communication module of described District integrated control centring system has two passages of telecommunication outside intra-area communication and region.Intra-area communication passage, for communicating by letter with sensing network with distributed inverse control system in region, adopts signal data in field bus protocol pickup area, and sends control command to distributed inversion system, electric control system interdependent node.Outside region, telecommunication passage is for communicating by letter with described power-management centre, adopt general internet User Datagram Protocol and special intelligent electrical network coding and cryptographic algorithm condition of work and the state to each critical piece in control centre's transfer system, comprise temperature data, light radiation degrees of data, active power, grid-connected node voltage, power factor, harmonic component etc., the dispatching command at receiving scheduling center simultaneously, for electric power or the operating state of photovoltaic generation in adjustment region.
Further, the data fusion of described District integrated control centring system and decision making algorithm adopt the multisensor Data Fusion technology of D-S evidence theory and fuzzy mathematics, the signal data of comprehensive sensing network, then adopt quantitative flexible strategy normalization algorithm to analyze fused data, and send control command to electric control module and distributed inverse control system.
Further, the host computer application software of described District integrated control centring system adopts OO program developing method exploitation, has the advantages that good stability extensibility is strong, is made up of man-machine interface, control logic and database major part.Man-machine interface is for demonstration and the order transmit operation of each electric equipment operating state in operational environment and region.The order that control logic is used for after data fusion and decision making algorithm produces.Database is used for the daily record of preserving working environment parameter, operating state historical data and variety of event, has the feature of trackability.
Described power scheduling control centre is a set of remote monitoring application software, adopts OO software programming technique exploitation, possesses many group man-machine interfaces, can monitor the operating state of multiple regional ensemble systems.Adopt condition of work parameter and the state of general internet User Datagram Protocol and special intelligent electrical network coding and cryptographic algorithm receiving area integrated control system.In data such as the temperature of man-machine interface viewing area integrated control system, light radiation degree, active power, grid-connected node voltage, power factor, harmonic components.Possess to regional ensemble control system and send power scheduling order, comprise and stop generating, quantitatively generating, startup generating, quality of power supply feedback etc., for electric power or the operating state of photovoltaic generation in adjustment region.
Technical conceive of the present invention is: the control method of multilayer distributed microgrid, the communication technology and power scheduling strategy are incorporated in solar photovoltaic power generation grid-connecting system, utilize network communications technology in addition interconnected and concentrate grid-connected and scheduling controlling the small-power in certain area coverage, distribution type photovoltaic power generation device, can be combined with existing concentrated power supply system and form an overall high efficient and flexible electric power system, improve stability, reliability and the power quality of whole electric power system.
Formed by major parts such as electric control system, District integrated control centring system, power scheduling control centres in photovoltaic battery array, distributed inverse control system, sensing network, region, adopt distinctive control method, as shown in Figure 3, concentrate grid-connectedly by interconnected to the small-power in certain area coverage, distribution type photovoltaic power generation device, and can accept the scheduling controlling of local electric power.Wherein photovoltaic battery array is solar energy converting electrical energy device, suits measures to local conditions to be arranged in the many solitary buildings top in region, and the direct current energy that photovoltaic battery array transforms accesses respectively in each self-corresponding distributed inverse control system after confluxing.Distributed inversion system is the industrial frequency AC electric energy of 380 volts on the one hand by direct current energy inversion, on the other hand the maximum power point of photovoltaic battery array is followed the tracks of to control, the operating voltage that regulates in real time photovoltaic battery array, maximizes its power output all the time.It is grid-connected that 380 volts of industrial frequency AC electric energy of distributed inversion system output concentrate on same node after by the parallel connection of District integrated control centring system.In addition, District integrated control center is according to the state model of distributed photovoltaic power generation power supply in region and the signal parameter of sensing network, adjust and control the operating state of each distributed photovoltaic power generation power supply, and adopt peculiar algorithm to send emergency control order according to partial parameters.In addition, Regional Control Center is communicated by letter with power-management centre, reports photovoltaic generation operating state and environmental parameter in region, receives the dispatching command of power-management centre simultaneously, carries out it and stops, adjusting, start the operation of generating electricity.In the various transducers layouts of sensing network and regional network, on each equipment, for detection of environmental parameter and electric parameter, and parameter signal is sent to District integrated control centring system, for its decision-making.Working environment parameter and the operating state of receiving area centralized control center, local power-management centre system, and according to actual civil power power consumption situation, the distributed photovoltaic power generation system of regional ensemble is carried out to control and scheduling.
Beneficial effect of the present invention is mainly manifested in:
1) small-power in certain area coverage, distribution type photovoltaic power generation device are utilized network communications technology in addition interconnected and concentrate grid-connected and scheduling controlling, each photovoltaic generation unit to there is secondary control, improved the stability of system.
2) photovoltaic DC electricity is grid-connected through centralized control center's centralized management again after inversion, can carry out easily reactive power compensation and active power filtering, has improved the quality of power supply, reduces harmonic wave and idle pollution to electrical network.
3) photovoltaic generation has intermittent and instable feature, and in region, multiple distribution type photovoltaic power generation devices are grid-connected again after concentrating parallel connection, only has one and site, has reduced intermittent and the impact of unstable electric power to utility grid.
4) photovoltaic generation has the advantages that dispersion, power are little, quantity is many, and this system, by grid-connected multiple distributed photovoltaic power generations centralized management in region, has realized scheduling and the management of photovoltaic generation, is convenient to the adjusting of utility grid Wave crest and wave trough.
5) due to the operating state of power-management centre Real-Time Monitoring distributed photovoltaic power generation system, and can carry out state control and power scheduling to it, avoid the islet operation state of photovoltaic generation power supply, the fail safe that has improved electrical network.
6) distributed photovoltaic power generation ground with load on the same area, through the scheduling of power-management centre, photovoltaic electric energy can on-site elimination, has reduced the input of utility grid dilatation and the loss of delivery of electrical energy, has improved the economy of system.
7) distributed power generation regional ensemble control system adopts source model and communication control processor in standardization, make power-management centre can manage multiple regional ensemble photovoltaic generating systems simultaneously, possess good replicability, be convenient to the extensive grid-connected application of photovoltaic electric energy.
8) the generating peak value of photovoltaic generating system with overlap with load peak of power consumption, utility grid is had to the regulating action of peak clipping.
9) realized whole system and concentrated enforcement and centralized management, adopted visual administrative center, strengthened systemic-function, facilitated system maintenance, strengthened stability and the reliability of system, and reduced maintenance cost
Brief description of the drawings
Fig. 1 is distributed photovoltaic power generation regional ensemble system construction drawing of the present invention;
The schematic diagram of Tu2Shi centralized control center of the present invention control system structural framing;
Fig. 3 is the control method of distributed photovoltaic power generation regional ensemble of the present invention and the schematic diagram of scheduling strategy.
Embodiment
By reference to the accompanying drawings embodiments of the invention are elaborated: the present embodiment is implemented under taking technical solution of the present invention as prerequisite, provided detailed execution mode and concrete operating process, but protection scope of the present invention is not limited to following embodiment.
With reference to Fig. 1～Fig. 3, a kind of distributed photovoltaic power generation regional integrated control system, by photovoltaic battery array, distributed inverse control system, sensing network, electric control system in region, the major part compositions such as District integrated control centring system and power scheduling control centre, described photovoltaic battery array is connected with described distributed inverse control system, described distributed inverse control system is connected with described District integrated control centring system, described sensing network respectively with photovoltaic battery array, distributed inverse control system is connected with District integrated control centring system, in described region electric control system respectively with distributed inverse control system, District integrated control centring system connects, described District integrated control centring system is connected with utility grid, described District integrated control centring system is connected with power scheduling control centre.
The present invention adopts control method by interconnected concentrated grid-connected to the small-power in certain area coverage, distribution type photovoltaic power generation device, and can accept the scheduling controlling of local electric power.Wherein photovoltaic battery array is solar energy converting electrical energy device, suits measures to local conditions to be arranged in the many solitary buildings top in region, and the direct current energy that photovoltaic battery array transforms accesses respectively in each self-corresponding distributed inverse control system after confluxing.Distributed inversion system is the industrial frequency AC electric energy of 380 volts on the one hand by direct current energy inversion, on the other hand the maximum power point of photovoltaic battery array is followed the tracks of to control, the operating voltage that regulates in real time photovoltaic battery array, maximizes its power output all the time.It is grid-connected that 380 volts of industrial frequency AC electric energy of distributed inversion system output concentrate on same node after by the parallel connection of District integrated control centring system.In addition, District integrated control center is according to the state model of distributed photovoltaic power generation power supply in region and the signal parameter of sensing network, adjust and control the operating state of each distributed photovoltaic power generation power supply, and adopt peculiar algorithm to send emergency control order according to partial parameters.In addition, Regional Control Center is communicated by letter with power-management centre, reports photovoltaic generation operating state and environmental parameter in region, receives the dispatching command of power-management centre simultaneously, carries out it and stops, adjusting, start the operation of generating electricity.In the various transducers layouts of sensing network and regional network, on each equipment, for detection of environmental parameter and electric parameter, and parameter signal is sent to District integrated control centring system, for its decision-making.Working environment parameter and the operating state of receiving area centralized control center, local power-management centre system, and according to actual power consumption situation, the distributed photovoltaic power generation system of regional ensemble is carried out to control and scheduling.
Described photovoltaic battery array is arranged on respectively many key construction top composition multiple unit distributed photovoltaic arrays in region, and its power can be independent definite respectively according to building roof area and solar irradiance situation.Each photovoltaic cell function array output direct current imports multiple distributed inverse control systems through header box.Distributed inverse control system is controlled respectively operating voltage and the power stage of its corresponding photovoltaic battery array in real time.
Described distributed inverse control system forms by organizing inverse control system more.Each inverse control system unit is made up of direct current power inversion module, maximum power point tracking module, communication module.The direct current power inversion module of described inverse control system adopts three-phase transless type (Transformerless) hybrid H-bridge (MOSFET+IGBT) topological structure.Photovoltaic battery array is exported to the industrial-frequency alternating current that direct current power inversion is 380 volts of three-phases.The maximum power point tracking module of described inverse control system adopts adaptive neuro-fuzzy inference algorithm to draw the optimum operating voltage of photovoltaic cell according to the power voltage characteristic curve of photovoltaic cell and working environment parameter maximum power point algorithm, then the operating voltage of being adjusted in real time photovoltaic cell by two BOOST-BUCK control circuits, makes it power output maximum.The communication module of described inverse control system adopts MODBUS TCP/IP fieldbus industrial communication agreement and described District integrated control center to carry out exchanges data, the parameters such as operating state, voltage, electric current, power factor (PF), active power are uploaded to described District integrated control center, and accept the order at described District integrated control center.
Described sensing network is made up of sensor network and data fusion module.Described sensor network comprises sets of temperature sensors, solar irradiance transducer group, is arranged in respectively photovoltaic battery array scene; Also comprise Hall current sensor group, Hall voltage transducer group, and thermal imagery leakage current sensor group, frequency sensor group etc.A sensing network transducer is respectively used to detect the operating state of photovoltaic battery array operational environment, distributed inverse control system.Described data fusion module gathers each sensor assembly and calculates power, power factor (PF), meritorious and reactive power, temperature etc. by Ampere's law, Wien displacement blackbody radiation law etc., and adopt quantitative flexible strategy normalization algorithm to process data, if be short-circuited in district system, the electric accident centralized control center such as dephasing, serious under-frequency will send promptly for field control order.
In described region, electric control system is accepted distributed inverse control system provisional orders and the order of District integrated control center, for changing the operating state of described photovoltaic battery array, distributed inverse control system in region, control electric installation safety in generated output, support area.
Described District integrated control centring system is collected electrical module, communication module, data fusion and decision making algorithm, host computer application software etc. by electric power and is formed.The electric power of described District integrated control centring system collects electrical module and is made up of major parts such as transformer, air switch, relay, logic programmable controllers, and 380 volts of industrial-frequency alternating current parallel connections of three-phase of 6 distribution type inverse control system institutes inversion are collected to access utility grid.The communication module of described District integrated control centring system has two passages of telecommunication outside intra-area communication and region.Intra-area communication passage is for communicating by letter with sensing network with distributed inverse control system in region, adopt signal data in MODBUS TCP/IP field bus protocol pickup area, and send control command to distributed inversion system, electric control system interdependent node.Outside region, telecommunication passage is for communicating by letter with described power-management centre, adopt the internet User Datagram Protocol of general UDP and special intelligent electrical network coding and cryptographic algorithm condition of work and the state to each critical piece in control centre's transfer system, comprise temperature data, solar radiation degrees of data, active power, grid-connected node voltage, power factor, harmonic component etc., the dispatching command at receiving scheduling center simultaneously, for electric power or the operating state of photovoltaic generation in adjustment region.The data fusion of described District integrated control centring system and decision making algorithm adopt the multisensor Data Fusion technology of D-S evidence theory and fuzzy mathematics, the signal data of comprehensive sensing network, then adopt quantitative flexible strategy normalization algorithm to analyze fused data, and send control command to electric control module and distributed inverse control system.The host computer application software of described District integrated control centring system adopts OO program developing method exploitation, has the advantages that good stability extensibility is strong, is made up of man-machine interface, control logic and database major part.Man-machine interface is for demonstration and the order transmit operation of each electric equipment operating state in operational environment and region.The order that control logic is used for after data fusion and decision making algorithm produces.Database is used for the daily record of preserving working environment parameter, operating state historical data and variety of event, has the feature of trackability.
Described power scheduling control centre is a set of remote monitoring application software, adopts OO software programming technique exploitation, possesses many group man-machine interfaces, can monitor the operating state of multiple regional ensemble systems.Adopt condition of work parameter and the state of general internet User Datagram Protocol and special intelligent electrical network coding and cryptographic algorithm receiving area integrated control system.In data such as the temperature of man-machine interface viewing area integrated control system, solar irradiance, active power, grid-connected node voltage, power factor, harmonic components.Possess to regional ensemble control system and send power scheduling order, comprise and stop generating, quantitatively generating, startup generating, quality of power supply feedback etc., for electric power or the operating state of photovoltaic generation in adjustment region.
The present embodiment is distributed photovoltaic power generation regional ensemble system demonstration project planning in Certain University of Hangzhou.This distributed photovoltaic power generation regional integrated control system is made up of major parts such as electric control system in 6 groups of photovoltaic battery array unit, 6 distribution type inverse control systems, 1 sensing network, 1 group of region, 1 District integrated control centring system and remote power dispatching control centers, as shown in Figure 1.
6 photovoltaic cell function arrays are arranged on respectively 6 key construction tops composition distributed photovoltaic arrays in the school, and its power has two kinds of 15KVA and 20KVA.Each photovoltaic cell function array output direct current imports 6 distributed inverse control systems through header box.6 distributed inverse control systems are controlled respectively operating voltage and the power stage of its corresponding photovoltaic battery array in real time.Each inverse control system monomer of 6 inverse control systems is made up of direct current power inversion module, maximum power point tracking module, communication module module.Its direct current power inversion module adopts three-phase transless type (Transformerless) hybrid H-bridge (MOSFET+IGBT) topological structure.Photovoltaic battery array is exported to the industrial-frequency alternating current that direct current power inversion is 380 volts of three-phases.Its maximum power point tracking module adopts adaptive neuro-fuzzy inference algorithm to draw the optimum operating voltage of photovoltaic cell according to the power voltage characteristic curve of photovoltaic cell and working environment parameter maximum power point algorithm, then adjusted in real time the operating voltage of photovoltaic cell by two BOOST-BUCK control circuits, making it maximum its communication module of power output adopts MODBUS TCP/IP fieldbus industrial communication agreement and described District integrated control center to carry out exchanges data, by operating state, voltage, electric current, power factor (PF), the parameters such as active power are uploaded to described District integrated control center, and accept the order at described District integrated control center.
Sensor network comprises 6 groups of sets of temperature sensors, solar irradiance transducer group, is arranged in respectively photovoltaic battery array scene; Also comprise 12 groups of Hall current sensor groups, Hall voltage transducer group, and 6 groups of thermal imagery leakage current sensor groups, 6 class frequency transducer groups etc.A sensing network transducer is respectively used to detect the operating state of photovoltaic battery array operational environment, distributed inverse control system.Data fusion module gathers each sensor assembly and calculates power, power factor (PF), meritorious and reactive power, temperature etc. by Ampere's law, Wien displacement blackbody radiation law etc., and adopt quantitative flexible strategy normalization algorithm to process data, if be short-circuited in district system, the electric accident centralized control center such as dephasing, serious under-frequency will send promptly for field control order.In region, electric control system is accepted distributed inverse control system provisional orders and the order of District integrated control center, for changing the operating state of described photovoltaic battery array, distributed inverse control system in region, control electric installation safety in generated output, support area.
District integrated control centring system is collected electrical module, communication module, data fusion and decision making algorithm, host computer application software, man-machine interface etc. by electric power and is formed.The electric power of District integrated control centring system collects electrical module and is made up of major parts such as transformer, air switch, relay, logic programmable controllers, and 380 volts of industrial-frequency alternating current parallel connections of three-phase of 6 distribution type inverse control system institutes inversion are collected to access utility grid.The communication module of District integrated control centring system has two passages of telecommunication outside intra-area communication and region.Intra-area communication passage is for communicating by letter with sensing network with distributed inverse control system in region, adopt signal data in MODBUS TCP/IP field bus protocol pickup area, and send control command to distributed inversion system, electric control system interdependent node.Outside region, telecommunication passage is for communicating by letter with described power-management centre, adopt the internet User Datagram Protocol of general UDP and special intelligent electrical network coding and cryptographic algorithm condition of work and the state to each critical piece in control centre's transfer system, comprise temperature data, solar radiation degrees of data, active power, grid-connected node voltage, power factor, harmonic component etc., the dispatching command at receiving scheduling center simultaneously, for electric power or the operating state of photovoltaic generation in adjustment region.The data fusion of described District integrated control centring system and decision making algorithm adopt the multisensor Data Fusion technology of D-S evidence theory and fuzzy mathematics, the signal data of comprehensive sensing network, then adopt quantitative flexible strategy normalization algorithm to analyze fused data, and send control command to electric control module and distributed inverse control system.The host computer application software of described District integrated control centring system adopts OO program developing method exploitation, is made up of man-machine interface, control logic and database major part.Man-machine interface is for demonstration and the order transmit operation of each electric equipment operating state in operational environment and region.The order that control logic is used for after data fusion and decision making algorithm produces.Database is used for the daily record of preserving working environment parameter, operating state historical data and variety of event, has the feature of trackability.
Power scheduling control centre is a set of remote monitoring application software, adopts OO software programming technique exploitation, possesses many group man-machine interfaces, can monitor the operating state of multiple regional ensemble systems.Adopt condition of work parameter and the state of general internet User Datagram Protocol and special intelligent electrical network coding and cryptographic algorithm receiving area integrated control system.In data such as the temperature of man-machine interface viewing area integrated control system, solar irradiance, active power, grid-connected node voltage, power factor, harmonic components.Possess to regional ensemble control system and send power scheduling order, comprise and stop generating, quantitatively generating, startup generating, quality of power supply feedback etc., for electric power or the operating state of photovoltaic generation in adjustment region.
Finally, it is also to be noted that, what more than enumerate is only a specific embodiment of the present invention.Obviously, the invention is not restricted to above embodiment, can also have many distortion.All distortion that those of ordinary skill in the art can directly derive or associate from content disclosed by the invention, all should think protection scope of the present invention.
Claims (10)
1. a distributed photovoltaic power generation regional integrated control system, it is characterized in that: comprise photovoltaic battery array, distributed inverse control system, sensing network, electric control system in region, District integrated control centring system and power scheduling control centre, described photovoltaic battery array is connected with distributed inverse control system, distributed inverse control system is connected with District integrated control centring system, described sensing network respectively with photovoltaic battery array, distributed inverse control system, District integrated control centring system connects, in described region electric control system respectively with distributed inverse control system, District integrated control centring system connects, described District integrated control centring system is connected with utility grid, District integrated control centring system is connected with power scheduling control centre,
Described distributed inverse control system is by multiple inverse control system monomer compositions corresponding to photovoltaic battery array unit, and described inverse control system monomer is made up of direct current power inversion module, maximum power point tracking module, communication module;
The maximum power point tracking module of described inverse control system is made up of two BOOST-BUCK control circuits and adaptive neuro-fuzzy inference algorithm, draw the optimum operating voltage of photovoltaic cell according to the relation property employing adaptive neuro-fuzzy inference algorithm of the I-V of photovoltaic cell, P-V characteristic curve and temperature, solar irradiance working environment parameter, the operating voltage of then modulating in real time photovoltaic cell by two BOOST-BUCK control circuits.
2. distributed photovoltaic power generation regional integrated control system as claimed in claim 1, it is characterized in that: be installed on each building top composition multiple unit distributed photovoltaic array in region, each photovoltaic battery array output direct current imports distributed inverse control system through header box, and the operating voltage of distributed photovoltaic array and power stage are controlled in real time by distributed inverse control system.
3. distributed photovoltaic power generation regional integrated control system as claimed in claim 1, is characterized in that: the direct current power inversion module of described inverse control system adopts three-phase transless type hybrid H-bridge topological structure.
4. distributed photovoltaic power generation regional integrated control system as claimed in claim 1, it is characterized in that: the fuzzy inference system of described adaptive neuro-fuzzy inference algorithm based on adaptive neural network, adopt five layers of ANFI neural network structure of Sugeno fuzzy model, form input vector u (V by current voltage, electric current, power, temperature, solar irradiance parameter, I, P, T, R) optimum operating voltage that, output f (u) is maximum power point.
5. distributed photovoltaic power generation regional integrated control system as claimed in claim 1, it is characterized in that: the communication module of described inverse control system adopts fieldbus industrial communication agreement and described District integrated control center to carry out exchanges data, operating state, voltage, electric current, power factor (PF) and active power parameter are uploaded to described District integrated control center, and accept the order of centralized control center.
6. distributed photovoltaic power generation regional integrated control system as claimed in claim 1, it is characterized in that: described sensing network is made up of sensor network and data fusion module, comprise sets of temperature sensors, solar irradiance transducer group, Hall current sensor group, Hall voltage transducer group, frequency sensor group and thermal imagery leakage current sensor group, described sets of temperature sensors, day illuminance transducer group is arranged and described photovoltaic battery array scene, described Hall current sensor group, Hall voltage transducer group, frequency sensor group and thermal imagery leakage current sensor group are arranged in described distributed inversion control, described data fusion module gathers each sensor die blocks of data and calculates power, power factor (PF), meritorious and reactive power, temperature by Ampere's law, Wien displacement blackbody radiation law, and adopts quantitative flexible strategy normalization algorithm data to be processed and sent promptly for scene order.
7. distributed photovoltaic power generation regional integrated control system as claimed in claim 1, it is characterized in that: in described region, electric control system is accepted distributed inverse control system provisional orders and the order of District integrated control center, for changing the operating state of described photovoltaic battery array, distributed inverse control system in region, control electric installation safety in generated output, support area.
8. distributed photovoltaic power generation regional integrated control system as claimed in claim 1, is characterized in that: described District integrated control centring system is collected electrical module, communication module, data fusion by electric power and formed with decision making algorithm module and host computer application software.
9. distributed photovoltaic power generation regional integrated control system as claimed in claim 8, it is characterized in that: described electric power collects electrical module by transformer, air switch, relay and logic programmable controller composition, 380 volts of industrial-frequency alternating current parallel connections of distributed inverse control system institute inversion are collected to access utility grid, described communication module has two passages of telecommunication outside intra-area communication and region, intra-area communication passage is for communicating by letter with sensing network with distributed inverse control system in region, adopt signal data in field bus protocol pickup area, and to distributed inversion system, electric control system interdependent node sends control command, outside region, telecommunication passage is for communicating by letter with described power-management centre, adopt general internet User Datagram Protocol and special intelligent electrical network coding and cryptographic algorithm condition of work and the state to each critical piece in control centre's transfer system, comprise temperature data, day illumination data, active power, grid-connected node voltage, power factor, harmonic component, the dispatching command at receiving scheduling center simultaneously, for electric power or the operating state of photovoltaic generation in adjustment region, described data fusion and decision making algorithm module adopt the multisensor Data Fusion technology of D-S evidence theory and fuzzy mathematics, the signal data of comprehensive sensing network, then adopt quantitative flexible strategy normalization algorithm to analyze fused data, and send control command to electric control module and distributed inverse control system, described host computer application software adopts OO program developing method exploitation, have the advantages that good stability extensibility is strong, formed by man-machine interface, control logic and database major part, man-machine interface is for demonstration and the order transmit operation of each electric equipment operating state in operational environment and region, the order that control logic is used for after data fusion and decision making algorithm produces, database is used for the daily record of preserving working environment parameter, operating state historical data and variety of event, has the feature of trackability.
10. distributed photovoltaic power generation regional integrated control system as claimed in claim 1, it is characterized in that: described power scheduling control centre, adopt condition of work parameter and the state of general internet User Datagram Protocol and special intelligent electrical network coding and cryptographic algorithm receiving area integrated control system, in the temperature of man-machine interface viewing area integrated control system, day illumination, active power, grid-connected node voltage, power factor and harmonic component data, possess to regional ensemble control system and send power scheduling order, comprise and stop generating, quantitatively generating, start generating and quality of power supply feedback, for electric power or the operating state of photovoltaic generation in adjustment region.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110279751.8A CN102355004B (en) | 2011-09-20 | 2011-09-20 | Distributed photovoltaic power generation regional integrated control system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110279751.8A CN102355004B (en) | 2011-09-20 | 2011-09-20 | Distributed photovoltaic power generation regional integrated control system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102355004A CN102355004A (en) | 2012-02-15 |
| CN102355004B true CN102355004B (en) | 2014-06-11 |
Family
ID=45578527
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110279751.8A Active CN102355004B (en) | 2011-09-20 | 2011-09-20 | Distributed photovoltaic power generation regional integrated control system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102355004B (en) |
Families Citing this family (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10115841B2 (en) * | 2012-06-04 | 2018-10-30 | Solaredge Technologies Ltd. | Integrated photovoltaic panel circuitry |
| CN103034203A (en) * | 2012-12-12 | 2013-04-10 | 常州大学 | Flexible intelligent controller capable of removing series solar cell heat island effect |
| CN103019193B (en) * | 2013-01-22 | 2015-06-24 | 国电南瑞南京控制系统有限公司 | Monitoring control method of multi-type steering supports in photovoltaic power station |
| MY176766A (en) | 2013-04-13 | 2020-08-21 | Honey Badger Int Pty Ltd | Energy generation load compensation |
| CN103326423B (en) * | 2013-05-29 | 2015-03-25 | 西南交通大学 | Network communication and control system for non-equilibrium management photovoltaic lithium-ion energy storage module nodes |
| CN103545931B (en) * | 2013-10-30 | 2015-08-05 | 国家电网公司 | A kind of distributed photovoltaic power generation grid connection interface device |
| CN103812217A (en) * | 2014-01-22 | 2014-05-21 | 联合光伏（深圳）有限公司 | Method and system for intelligent centralized monitoring and management of photovoltaic power station |
| CN104113080A (en) * | 2014-07-03 | 2014-10-22 | 广州市金洋水产养殖有限公司 | Photovoltaic-power-generation aquatic industrialized aquaculture workshop |
| CN104079004A (en) * | 2014-07-24 | 2014-10-01 | 沈阳爱易智慧能源科技有限公司 | Distribution type control system for photovoltaic power generation |
| CN105449706A (en) * | 2014-09-25 | 2016-03-30 | 国家电网公司 | Generation off-gird/grid-connected control method of urban solar power generation devices |
| CN104615094B (en) * | 2014-11-24 | 2018-01-02 | 国网辽宁省电力有限公司锦州供电公司 | City level high-density multiple spot distributed photovoltaic cluster monitoring method |
| CN105207263B (en) * | 2015-09-30 | 2018-01-19 | 四川海天环保能源有限公司 | The photovoltaic generating system and grid-connected control method of garbage incinerating power plant |
| CN105337308B (en) * | 2015-10-23 | 2018-02-06 | 南京南瑞集团公司 | A kind of grid side area distribution formula photovoltaic operation management system and management method |
| DE102016118131A1 (en) * | 2016-08-24 | 2018-03-01 | Deutsches Zentrum für Luft- und Raumfahrt e.V. | Method for controlling and / or regulating a solar thermal power plant and solar thermal power plant |
| CN106874541B (en) * | 2017-01-03 | 2020-05-15 | 国能日新科技股份有限公司 | Multi-inverter broadcast type control method and device based on fuzzy state |
| CN107508314B (en) * | 2017-08-10 | 2020-07-10 | 杭州赫智电子科技有限公司 | Distributed photovoltaic protection system and protection method |
| CN109149642B (en) * | 2018-09-27 | 2021-08-03 | 河北点击新能源科技有限公司 | Photovoltaic power generation intelligent inverter control system |
| CN110011415B (en) * | 2019-03-18 | 2022-04-15 | 东南大学 | Lumped/distributed multi-parameter detection device suitable for intelligent power grid |
| CN111049264A (en) * | 2019-12-02 | 2020-04-21 | 苏州协鑫新能源运营科技有限公司 | Energy management system based on cloud platform |
| CN111371899B (en) * | 2020-03-13 | 2022-07-12 | 山东三电新能源技术有限公司 | Data acquisition method and system suitable for large-scale distributed photovoltaic |
| CN117639081B (en) * | 2024-01-23 | 2024-04-30 | 深圳市德兰明海新能源股份有限公司 | Photovoltaic energy storage inversion parallel operation system and photovoltaic energy scheduling method thereof |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101488668A (en) * | 2008-04-30 | 2009-07-22 | 江苏南自通华新能源电力有限公司 | Reconfigurable distributed access grid-connected inverter |
| CN201608541U (en) * | 2009-12-31 | 2010-10-13 | 上海纽恩新能源科技有限公司 | Solar-energy photovoltaic intelligent power station based on Ethernet |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002095168A (en) * | 1992-06-23 | 2002-03-29 | Adc Technology Kk | Power system controller |
-
2011
- 2011-09-20 CN CN201110279751.8A patent/CN102355004B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101488668A (en) * | 2008-04-30 | 2009-07-22 | 江苏南自通华新能源电力有限公司 | Reconfigurable distributed access grid-connected inverter |
| CN201608541U (en) * | 2009-12-31 | 2010-10-13 | 上海纽恩新能源科技有限公司 | Solar-energy photovoltaic intelligent power station based on Ethernet |
Non-Patent Citations (3)
| Title |
|---|
| JP特开2002-95168A 2002.03.29 |
| 余晓明等.基于multi-Agent和Petri网的分布式风光互补系统.《控制理论与应用》.2008,第25卷(第2期),全文. |
| 基于multi-Agent和Petri网的分布式风光互补系统;余晓明等;《控制理论与应用》;20080430;第25卷(第2期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102355004A (en) | 2012-02-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102355004B (en) | Distributed photovoltaic power generation regional integrated control system | |
| CN102355005B (en) | Distributed photovoltaic power generation regional integrated control method | |
| CN104092250B (en) | The distributed economic load dispatching of micro-grid system and control method for coordinating | |
| CN103595138B (en) | A kind of smart micro-grid system | |
| WO2019192040A1 (en) | Wind-photovoltaic-diesel intelligent alternating current microgrid system | |
| CN202856379U (en) | Distributed photovoltaic power generation regional integrated control device | |
| CN105406515B (en) | The independent micro-grid of grading control | |
| CN202772654U (en) | Controller for photovoltaic power generation and municipal power grid concurrent complementary application | |
| CN104485692A (en) | Distributed photovoltaic power generation energy dispatching system and method | |
| CN103986182A (en) | Photovoltaic grid connected system based on power line carrier communication | |
| Hu et al. | An overview on analysis and control of micro-grid system | |
| CN104600719B (en) | A kind of photovoltaic generating system grid integration Comprehensive Reactive Power Compensation control system and method | |
| CN103647283A (en) | Solar power grid and municipal power grid no-countercurrent combination power supply control system and method thereof | |
| CN202957612U (en) | Wind and photovoltaic power storage intelligent microgrid and control system thereof | |
| CN107069826A (en) | Build multi-energy complementation comprehensive utilization device | |
| CN104124704A (en) | Management method for connecting distributed power supplies and micro grid to main power grid | |
| CN203014421U (en) | Solar green operating room power supply system | |
| CN105591469A (en) | Community microgrid distributed control system | |
| CN101330211A (en) | Micro-electric network system capable of generating and using electricity using renewable energy resources comprehensively | |
| Qin et al. | Overview of micro-grid energy management system research status | |
| CN206211536U (en) | Distributed power source power network | |
| CN105048505B (en) | A kind of wind-solar complementary type micro-grid system for intelligent residential district | |
| CN106788251A (en) | A kind of peasant household house roof photovoltaic power station detecting system and detection method | |
| CN206164432U (en) | Domestic multipotency source is synthesized complementation and is utilized system | |
| CN105529741B (en) | A kind of distributed power source and its micro-capacitance sensor Intelligent Decision-making Method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |