CN113937816B - Self-adaptive efficient robust stable control device for comprehensive power supply - Google Patents
Self-adaptive efficient robust stable control device for comprehensive power supply Download PDFInfo
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- 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
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- 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 application discloses a self-adaptive high-efficiency robust stable control device of a comprehensive power supply, which comprises a distributed power supply, a power converter, a public bus, a high-frequency current sensor, a high-frequency voltage sensor, a flat wave sampling current sensor, a power regulation decision maker, a voltage variable structure controller and an electrorheological structure controller, wherein the distributed power supply is connected with the power converter through the public bus; the distributed power supply type comprises a wind-solar-diesel storage mode and a large power grid mode, all the power supplies are mutually independent and are connected to a public bus in parallel through respective power converters to jointly provide power for loads on the public bus. The beneficial effects of the application are as follows: the application provides a voltage dynamic smooth self-adaptive switching decision algorithm and an anti-interference integral self-adaptive switching variable structure control algorithm, which are favorable for the public bus to resist load power fluctuation, improve the robustness of bus voltage and ensure the stability of the operation of the comprehensive power supply.
Description
Technical Field
The application relates to the field of comprehensive power supply control, in particular to a self-adaptive high-efficiency robust stable control device for a comprehensive power supply.
Background
With the further development and utilization of renewable energy sources and the vigorous development of distributed power sources such as wind and light Chai Chu, the related comprehensive power supply design and application are developed successively. The comprehensive power supply system is usually connected to a common bus through a power converter by a plurality of parallel distributed power supplies, and the common bus supplies power to various loads.
The control of each distributed power converter is a main means of comprehensive power supply regulation. However, the characteristics of different power capacities, unstable power output, random load fluctuation, high nonlinearity of the power converter and the like of the distributed power supplies make the efficient robust stable control of the comprehensive power supply very difficult.
At present, the control method for the power converter of the comprehensive power supply system only relates to single closed-loop voltage control, each distributed power supply outputs the same reference voltage value, when the common bus voltage is disturbed, larger voltage fluctuation is easy to cause, even amplitude oscillation occurs, and the recovery process is long.
How to solve the technical problems is the subject of the present application.
Disclosure of Invention
In order to solve the technical problems, the application provides a self-adaptive high-efficiency robust stable control device of a comprehensive power supply, which comprises a distributed power supply, a power converter, a public bus, a high-frequency current sensor, a high-frequency voltage sensor, a flat wave sampling current sensor, a power regulation decision device, a voltage variable structure controller and an electrorheological structure controller, wherein the distributed power supply is connected with the power converter; the distributed power supply type comprises a wind-solar-diesel storage mode and a large power grid mode, all the power supplies are mutually independent and are connected to a public bus in parallel through respective power converters to jointly provide power for loads on the public bus. The self-adaptive high-efficiency robust stable control device for the comprehensive power supply adopts a voltage dynamic smooth self-adaptive switching decision algorithm and an anti-interference integral self-adaptive switching variable structure control algorithm, is favorable for the common bus to resist load power fluctuation, improves the robustness of bus voltage, and ensures the stability of the operation of the comprehensive power supply.
The application is realized by the following measures: the self-adaptive high-efficiency robust stable control device for the comprehensive power supply comprises a distributed power supply, a power converter, a public bus, a high-frequency current sensor, a high-frequency voltage sensor, a power regulation decision-making device, a voltage variable structure controller, an electrorheological structure controller and a flat wave sampling current sensor, wherein the distributed power supply is connected with the public bus through the power converter; the inputs of the high-frequency current sensor and the high-frequency voltage sensor are connected with the output of the power converter, and the outputs are connected with the input of the power regulation decision-making device; the output of the power regulation decision-making device is connected with the input of the voltage variable structure controller; the output of the voltage variable structure controller is connected with the input of the electrorheological structure controller; the output of the electrorheological structure controller is connected with the control input end of the power converter; the input of the flat wave sampling current sensor is connected with a flat wave inductance branch circuit in the power converter, and the output is connected with the input of the electrorheological structure controller.
The power regulation decision maker adopts a voltage dynamic smoothing self-adaptive switching decision algorithm; the voltage dynamic smoothing self-adaptive switching decision algorithm comprises the following steps:
s11, obtaining output current i of the power converter respectively measured by the high-frequency current sensor and the high-frequency voltage sensor o And output voltage V o ；
S12, according to the output voltage V o Calculating the output voltage change rate dV o And calculating a smoothed adaptive scaling factor g (dV) of the rate of change of the output voltage as follows o /dt)；
S13, judging dV o Positive and negative values of/dt, as dV o When/dt is non-negative, the voltage dynamic smooth self-adaptive switching decision output V is calculated according to the following formula ref ＝V ref + ：
When dV o When/dt is negative, the voltage dynamic smooth self-adaptive switching decision output V is calculated according to the following formula ref ＝V ref - ：
Wherein V is o ref Rated value of common bus voltage; q (Q) 1 Adjusting coefficients for steady state decisions; q (Q) 2 Adjusting coefficients for the dynamic decisions; q (Q) max Adjusting an upper-limit coefficient for the decision; q (Q) min Adjusting a lower-limit coefficient for the decision; 0<Q min <Q 1 <Q max 。
The voltage variable structure controller adopts an anti-interference integral self-adaptive voltage switching variable structure control algorithm; the anti-interference integral self-adaptive voltage switching variable structure control algorithm comprises the following steps:
s21, acquiring voltage tracking error z V ，z V ＝V o -V ref ；
S22, from z V Defining a voltage tracking error nonlinear combined state variable z V1 Sum sigma V ：
σ V ＝k 1 z V +z V1
S23, according to state variable sigma V Calculating the self-adaptive estimation state variable of external voltage disturbance
S24, judging state variable sigma V When the state variable sigma V When the voltage is non-negative, the output i of the anti-interference integral self-adaptive voltage switching variable structure control algorithm is calculated according to the following mode L ref ＝i L ref + ：
When the state variable sigma V When the voltage is negative, the anti-interference integral self-adaptive voltage switching variable structure is calculated according to the following methodControl algorithm output i L ref ＝i L ref - ：
Wherein a is 1 And b 1 Is a power converter constant; c 1 、k 1 、h 1 、γ 1 Is a normal number and satisfies h 1 (c 1 +k 1 )>0.25。
The electrorheological structure controller adopts an anti-interference integral self-adaptive current switching rheological structure control algorithm; the anti-interference integral self-adaptive current switching variable structure control algorithm comprises the following steps:
s31, acquiring the current i of a smoothing inductance branch in the power converter, which is measured by a smoothing sampling current sensor L Calculating a current tracking error z i ，z i ＝i L -i L ref ；
S32, from z i Defining a current tracking error nonlinear combined state variable z i1 Sum sigma i ：
σ i ＝k 1 z i +z i1
S33, according to state variable sigma i Calculating the self-adaptive estimation state variable of the disturbance of the external current
S34, judging state variable sigma i When the state variable sigma i When the output is non-negative, the output u of the anti-interference integral self-adaptive current switching variable structure control algorithm is calculated according to the following mode c ＝u c + ：
When the state variable sigma V When the value is negative, the output u of the anti-interference integral self-adaptive current switching variable structure control algorithm is calculated according to the following formula c ＝u c - ：
Wherein a is 2 And b 2 Is a power converter constant; c 2 、k 2 、h 2 、γ 2 Is a normal number and satisfies h 2 (c 2 +k 2 )>0.25。
The distributed power supply type comprises a wind, solar and diesel storage mode and a large power grid mode, all the power supplies are mutually independent and are connected to a public bus in a parallel mode through respective power converters to jointly provide power for loads on the public bus.
The detection response frequency of the high-frequency current sensor and the high-frequency voltage sensor is more than ten times of the frequency of the direct current ripple or the alternating current harmonic of the allowable voltage of the public bus.
Compared with the prior art, the application has the beneficial effects that:
(1) Rate of change dV of output voltage of power converter o The/dt is used as an operation parameter and is introduced into a power adjustment decision maker so as to decide the output quantity V ref For voltage V o The fluctuation of the voltage fluctuation is more sensitive, the change trend of the voltage fluctuation is better controlled, and the voltage stabilization of the public bus is facilitated.
(2) Smooth adaptive scaling factor g (dV) for output voltage rate of change o Dt) has continuous smoothing and saturation nonlinear characteristics, g (dV) o /dt) is between-1 and 1, even though the rate of change of voltage is small, the coefficient g (dV o /dt) can also output larger fluctuations; and the absolute value of the change rate is largeg(dV o /dt) can only approach 1 indefinitely without crossing the boundary.
(3) Power regulation decision maker output V ref Not only for the voltage change rate dV o The dt is sensitive, and can be reliably floated within the limit of the amplitude without crossing the boundary, ensuring the output V ref Scientific rationality and robust adaptivity of (c).
(4) The anti-interference integral self-adaptive voltage and current switching variable structure control algorithm can be realized by only obtaining fewer parameters of the power converter without depending on an accurate model of a comprehensive power supply, and has strong adaptability and portability.
(5) Anti-interference integral self-adaptive voltage and current switching variable structure control algorithm output i L ref 、u c On one hand, the method has the switching characteristic of judging the positive and negative values of the state variable, and the control rapidity is effectively improved; on the other hand, the integration form is adopted, so that the continuous stability of the output quantity in the switching process can be ensured.
(6) The power regulation decision device, the voltage transformation structure controller and the electrorheological structure controller are sequentially connected in series to form a three-level control mode of the comprehensive power supply, and the dynamic and static performances of the power supply are enhanced to realize high-quality robust power supply.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, serve to explain the application.
Fig. 1 is a schematic diagram of a self-adaptive efficient robust stable control device for a comprehensive power supply in an embodiment of the application.
FIG. 2 shows a smoothed adaptive scaling factor g (dV) provided in an embodiment of the application o /dt) change profile.
FIG. 3 is a simulation diagram of a voltage-current dual closed loop cascade control provided in an embodiment of the present application;
wherein, (a) is a converter output voltage response graph;
(b) Outputting a voltage I phase response curve chart for the converter;
(c) Outputting a voltage II-stage response curve chart for the converter;
(d) Outputting a voltage III phase response curve chart for the converter;
(e) A phase IV response graph for the converter output voltage;
(f) Converter inductor current response graph.
Fig. 4 is a simulation diagram of response performance of a three-level control strategy provided in an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to fall within the scope of the application.
As shown in fig. 1 to 4, the present application provides a self-adaptive, efficient, robust and stable control device for an integrated power supply, comprising: the power supply comprises a distributed power supply, a power converter, a public bus, a high-frequency current sensor, a high-frequency voltage sensor, a power regulation decision-making device, a voltage variable structure controller, an electrorheological structure controller and a flat wave sampling current sensor.
As shown in FIG. 1, the distributed power sources 1 to n can be various power sources such as wind, solar and diesel energy storage, large power grid and the like, and the voltage output is expressed as V S The distributed power supplies are independent of each other. In the present embodiment, it is assumed that the output voltages V of the distributed power supplies 1 to n S Is a direct current voltage and each V S Is different in voltage amplitude.
The input ends of the power converters 1 to n are respectively connected with the output voltages of the distributed power sources 1 to n, and the output ends of the power converters are connected in parallel with a common bus. Due to V S As the DC voltage, the power converter is selected to have a DC step-up/step-down topology, which outputs a voltage V o And output current i o Are all direct current quantities.
In the power converter, S is a power electronic switch tubeD is a power freewheeling diode, L is a smoothing energy storage reactor inductance, R is a smoothing inductance branch resistance, C is a power voltage stabilizing capacitor, R L I is the power load L Is the current of the flat wave inductance branch circuit.
Since the power converters 1 to n are connected in parallel to the common bus, the power converter operates on a comparable principle, and thus, in the following, this embodiment will be described by taking one power converter as an example.
The high-frequency current sensor and the high-frequency voltage sensor respectively measure the output current i of the power converter o And output voltage V o And output current i o And output voltage V o Are all inputs of the power regulation decision-maker, and the inputs of the power regulation decision-maker are the rated value V of the common bus voltage o ref . Output V of power adjustment decision maker ref Input z to voltage-variable structure controller V Are connected; output i of voltage-variable structure controller L ref Input z to electrorheological structure controller i Are connected; output u of electrorheological structure controller c In the form of a PWM duty cycle, is connected to a control input of a power converter power electronic switching tube S. The input of the flat wave sampling current sensor is connected with a flat wave inductance branch circuit in the power converter, and the output i L Connected to the input of the electrorheological structure controller, the output voltage V of the power converter measured by the high-frequency voltage sensor o And is also connected to an input of the voltage variable structure controller.
In fig. 1, the power regulation decision device, the voltage transformation structure controller and the electrorheological structure controller are sequentially connected in series to form a three-level control mode of the integrated power supply so as to enhance the dynamic and static performances of the power supply and realize high-quality robust power supply.
From kirchhoff's current-voltage rule, an average model of the individual power converters shown in fig. 1 can be derived:
definition a 1 ＝-1/R L C，b 1 ＝(1-u c )/C，a 2 ＝-R/L，b 2 ＝(V o +V s )/L。
The power regulation decision maker adopts a voltage dynamic smoothing self-adaptive switching decision algorithm; the voltage dynamic smoothing self-adaptive switching decision algorithm comprises the following steps:
obtaining output current i of power converter measured by high-frequency current sensor and high-frequency voltage sensor respectively o And output voltage V o ；
According to the output voltage V o Calculating the output voltage change rate dV o And calculating a smoothed adaptive scaling factor g (dV) of the rate of change of the output voltage as follows o /dt)；
Judging dV o Positive and negative values of/dt, as dV o When/dt is non-negative, the voltage dynamic smooth self-adaptive switching decision output V is calculated according to the following formula ref ＝V ref + ：
When dV o When/dt is negative, the voltage dynamic smooth self-adaptive switching decision output V is calculated according to the following formula ref ＝V ref - ：
Wherein V is o ref Rated value of common bus voltage; q (Q) 1 Adjusting coefficients for steady state decisions; q (Q) 2 Adjusting coefficients for the dynamic decisions; q (Q) max Adjusting an upper-limit coefficient for the decision; q (Q) min Adjusting a lower-limit coefficient for the decision; 0<Q min <Q 1 <Q max ，Q max The method can be calculated according to the following formula:
wherein P is max And P oref The highest output power and the initial rated output reference power of the distributed power supply are respectively.
Q 1 As steady state decision adjustment factor, influence output voltage V when load changes o The swing degree of the power supply is too small, so that the overload of the distributed power supply is easy to occur, and the stability of the system is not facilitated if the swing degree of the power supply is too large; q (Q) 2 As the dynamic decision adjustment coefficient, the larger the value is, the output voltage dynamic change rate dV of the power adjustment decision device o The more sensitive the change in/dt, the more capable the voltage ripple is suppressed, but the larger the value is, the more control oscillation is likely to occur.
The voltage variable structure controller adopts an anti-interference integral self-adaptive voltage switching variable structure control algorithm; the anti-interference integral self-adaptive voltage switching variable structure control algorithm comprises the following steps:
s21, acquiring voltage tracking error z V ，z V ＝V o -V ref ；
S22, from z V Defining a voltage tracking error nonlinear combined state variable z V1 Sum sigma V ：
σ V ＝k 1 z V +z V1
S23, according to state variable sigma V Calculating the self-adaptive estimation state variable of external voltage disturbance
S24, judging state variable sigma V When the state variable sigma V When the voltage is non-negative, the output i of the anti-interference integral self-adaptive voltage switching variable structure control algorithm is calculated according to the following mode L ref ＝i L ref + ：
When the state variable sigma V When the voltage is negative, the output i of the anti-interference integral self-adaptive voltage switching variable structure control algorithm is calculated according to the following mode L ref ＝i L ref - ：
Wherein a is 1 And b 1 Is a power converter constant; c 1 、k 1 、h 1 、γ 1 Is a normal number and satisfies h 1 (c 1 +k 1 )>0.25。
The electrorheological structure controller adopts an anti-interference integral self-adaptive current switching rheological structure control algorithm; the anti-interference integral self-adaptive current switching variable structure control algorithm comprises the following steps:
s31, acquiring the current i of a smoothing inductance branch in the power converter, which is measured by a smoothing sampling current sensor L Calculating a current tracking error z i ，z i ＝i L -i L ref ；
S32, from z i Defining a current tracking error nonlinear combined state variable z i1 Sum sigma i ：
σ i ＝k 1 z i +z i1
S33, according to state variable sigma i Calculating the self-adaptive estimation state variable of the disturbance of the external current
S34, judging state variable sigma i When the state variable sigma i When the output is non-negative, the output u of the anti-interference integral self-adaptive current switching variable structure control algorithm is calculated according to the following mode c ＝u c + ：
When the state variable sigma V When the value is negative, the output u of the anti-interference integral self-adaptive current switching variable structure control algorithm is calculated according to the following formula c ＝u c - ：
Wherein a is 2 And b 2 Is a power converter constant; c 2 、k 2 、h 2 、γ 2 Is a normal number and satisfies h 2 (c 2 +k 2 )>0.25。
In this embodiment, a power converter is taken as an example, and the performance of the voltage and current variable structure controller is analyzed.
Setting simulation initial time and load R L =200Ω, initial value of common bus voltage V o ref =0v, at times 1, 2, 3s, V o ref Transition to 50, 100, 150V, respectively; at time 4s, R L Jump to 100 omega.
Fig. 3 shows the performance of the voltage and current variable structure controller cascade control response to voltage reference and load changes. As shown in fig. 3 (a) - (e), the proposed cascade control is in the 1 st-4 s period, with a lower overshoot and no static steady state while the response time is fast. The proposed control strategy is illustrated to show good transient and steady state performance when tracking voltage reference value changes.
In addition, as shown in fig. 3 (f), the peak current of the proposed cascade control strategy is low when tracking large step changes in the bus voltage reference.
In this embodiment, a power converter is taken as an example, and the three power regulation decision device, the voltage transformation structure controller and the electrorheological structure controller are sequentially connected in series to form a three-level control mode performance of the integrated power supply for analysis.
Setting simulation initial time and load R L =200Ω, common bus voltage reference V o ref =150v. At time 3s, R L Jump to 100 omega; at time 4s, R L Jump to 200Ω.
As can be seen from fig. 4, the three-level control strategy exhibits a lower overshoot and a shorter settling time in response to load changes.
In this embodiment, the parameters are selected as follows: power supply V s =100v, inductance l=5mh, resistance r=0.1Ω, capacitance c=4700 μf, load R L =200Ω. The public bus allows voltage direct current ripple to be 150Hz, and the detection response frequency of the high-frequency current sensor and the high-frequency voltage sensor is 10kHz; output u of electrorheological structure controller c The pulse width modulation switching frequency (in the form of a PWM duty cycle) is 10kHz.
The parameters of the voltage and electrorheological structure controller are as follows: c 1 ＝20，h 1 ＝7.5，γ 1 ＝0.1，β 1 ＝1，k 1 ＝10，c 2 ＝0.2，h 2 ＝15.5，γ 2 ＝50，β 2 ＝10，k 2 ＝0.1；
The power adjustment decision maker parameters are: q (Q) 1 ＝7.5，Q 2 ＝25，Q max ＝30，Q min ＝15。
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (5)
1. A comprehensive power supply self-adaptive efficient robust stable control device is characterized in that: the power supply comprises a distributed power supply, a power converter, a public bus, a high-frequency current sensor, a high-frequency voltage sensor, a power adjustment decision device, a voltage variable structure controller, an electrorheological structure controller and a flat wave sampling current sensor, and is characterized in that: the distributed power supply is connected with the public bus through a power converter; the input ends of the high-frequency current sensor and the high-frequency voltage sensor are connected with the output end of the power converter, and the output ends of the high-frequency current sensor and the high-frequency voltage sensor are connected with the input end of the power regulation decision device; the output end of the power regulation decision device is connected with the input end of the voltage transformation structure controller; the output end of the voltage variable structure controller is connected with the input end of the electrorheological structure controller; the output end of the electrorheological structure controller is connected with the control input end of the power converter; the input end of the flat wave sampling current sensor is connected with a flat wave inductance branch circuit in the power converter, and the output end of the flat wave sampling current sensor is connected with the input end of the electrorheological structure controller;
the power regulation decision maker adopts a voltage dynamic smoothing self-adaptive switching decision algorithm; the voltage dynamic smoothing self-adaptive switching decision algorithm comprises the following steps:
s11: obtaining output current i of power converter measured by high-frequency current sensor and high-frequency voltage sensor respectively o And output voltage V o ；
S12: according to the output voltage V o Calculating the output voltage change rate dV o And calculating a smoothed adaptive scaling factor g (dV) of the rate of change of the output voltage as follows o /dt)；
S13: judging dV o Positive and negative values of/dt, as dV o When/dt is non-negative, the voltage dynamic smooth self-adaptive switching decision output V is calculated according to the following formula ref ＝V ref + ：
When dV o When/dt is negative, the voltage dynamic smooth self-adaptive switching decision output V is calculated according to the following formula ref ＝V ref - ：
Wherein V is oref Rated value of common bus voltage; q (Q) 1 Adjusting coefficients for steady state decisions; q (Q) 2 Adjusting coefficients for the dynamic decisions; q (Q) max Adjusting an upper-limit coefficient for the decision; q (Q) min Adjusting a lower-limit coefficient for the decision; 0<Q min <Q 1 <Q max 。
2. The adaptive efficient robust stability control device for an integrated power supply of claim 1, wherein: the voltage variable structure controller adopts an anti-interference integral self-adaptive voltage switching variable structure control algorithm; the anti-interference integral self-adaptive voltage switching variable structure control algorithm comprises the following steps:
s21: acquiring voltage tracking error z V ，z V ＝V o -V ref ；
S22: from z V Defining a voltage tracking error nonlinear combined state variable z V1 Sum sigma V ：
σ V ＝k 1 z V +z V1
S23: according to state variable sigma V Calculating the self-adaptive estimation state variable of external voltage disturbance
S24: judging state variable sigma V When the state variable sigma V When the voltage is non-negative, the output i of the anti-interference integral self-adaptive voltage switching variable structure control algorithm is calculated according to the following mode L ref ＝i L ref + ：
When the state variable sigma V When the voltage is negative, the output i of the anti-interference integral self-adaptive voltage switching variable structure control algorithm is calculated according to the following mode L ref ＝i L ref - ：
Wherein a is 1 And b 1 Is a power converter constant; c 1 、k 1 、h 1 、γ 1 Is a normal number and satisfies h 1 (c 1 +k 1 )>0.25。
3. The adaptive efficient robust stability control device for an integrated power supply of claim 1, wherein: the electrorheological structure controller adopts an anti-interference integral self-adaptive current switching rheological structure control algorithm; the anti-interference integral self-adaptive current switching variable structure control algorithm comprises the following steps:
s31: acquiring current i of a smoothing inductance branch in a power converter, which is sensed by a smoothing sampling current sensor L Calculating a current tracking error z i ，z i ＝i L -i L ref ；
S32: from z i Defining a current tracking error nonlinear combined state variable z i1 Sum sigma i ：
σ i ＝k 1 z i +z i1
S33: according to state variable sigma i Calculating the self-adaptive estimation state variable of the disturbance of the external current
S34: judging state variable sigma i When the state variable sigma i When the output is non-negative, the output u of the anti-interference integral self-adaptive current switching variable structure control algorithm is calculated according to the following mode c ＝u c + ：
When the state variable sigma V When the value is negative, the output u of the anti-interference integral self-adaptive current switching variable structure control algorithm is calculated according to the following formula c ＝u c - ：
Wherein a is 2 And b 2 Is a power converter constant; c 2 、k 2 、h 2 、γ 2 Is a normal number and satisfies h 2 (c 2 +k 2 )>0.25。
4. The adaptive efficient robust stability control device for an integrated power supply of claim 1, wherein: the distributed power supply type comprises a wind, solar and diesel storage mode and a large power grid mode, all the power supplies are mutually independent and are connected to a public bus in a parallel mode through respective power converters to jointly provide power for loads on the public bus.
5. The adaptive efficient robust stability control device for an integrated power supply of claim 1, wherein: the detection response frequency of the high-frequency current sensor and the high-frequency voltage sensor is more than ten times of the frequency of the direct current ripple or the alternating current harmonic of the allowable voltage of the public bus.
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