CN105528466B - Consider the wind-powered electricity generation optimization planning modeling method of electric system adaptability and economy - Google Patents
Consider the wind-powered electricity generation optimization planning modeling method of electric system adaptability and economy Download PDFInfo
- Publication number
- CN105528466B CN105528466B CN201410505782.4A CN201410505782A CN105528466B CN 105528466 B CN105528466 B CN 105528466B CN 201410505782 A CN201410505782 A CN 201410505782A CN 105528466 B CN105528466 B CN 105528466B
- Authority
- CN
- China
- Prior art keywords
- wind
- power
- constraint
- planning
- powered electricity
- 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
- 230000005611 electricity Effects 0.000 title claims abstract description 109
- 238000005457 optimization Methods 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 39
- 230000005540 biological transmission Effects 0.000 claims abstract description 47
- 238000010276 construction Methods 0.000 claims abstract description 11
- 238000010248 power generation Methods 0.000 claims description 15
- 230000010354 integration Effects 0.000 claims description 11
- 229910052757 nitrogen Inorganic materials 0.000 claims description 6
- 238000010977 unit operation Methods 0.000 claims description 4
- 238000005485 electric heating Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000010438 heat treatment Methods 0.000 claims description 3
- 229910052698 phosphorus Inorganic materials 0.000 claims description 3
- 230000009466 transformation Effects 0.000 claims description 3
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 239000000446 fuel Substances 0.000 description 3
- 238000009434 installation Methods 0.000 description 3
- 230000008520 organization Effects 0.000 description 3
- 230000001105 regulatory effect Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000012887 quadratic function Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000008878 coupling Effects 0.000 description 1
- 238000010168 coupling process Methods 0.000 description 1
- 238000005859 coupling reaction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000029087 digestion Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 230000001568 sexual effect Effects 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The present invention relates to a kind of wind-powered electricity generation optimization planning modeling methods for considering electric system adaptability and economy, the described method comprises the following steps: obtaining electric system essential information；Construct computation model；It sets the installed capacity of wind power plant, region of installing, the grid load rate upper limit and abandonment cost coefficient is chosen according to the deviation degree of target；Solve the model.System cost of electricity-generating, Transmission Investment and abandonment expense are carried out unified consideration in objective function by the present invention, the influence of meter and the factors such as peak regulation and ability to transmit electricity simultaneously, so that plan model reaches balanced between the grid-connected consumption and system investments performance driving economy of wind-powered electricity generation.It may be implemented to obtain the assessment of the various dimensions of wind-powered electricity generation programme economy, adaptability the best construction scheme and timing of the reasonable construction region of wind-powered electricity generation, construction scale and transmission line of electricity by the solution of model, planning personnel provides decision-making foundation for wind-powered electricity generation.
Description
Technical field:
The present invention relates to a kind of wind-powered electricity generation optimization planning modeling method, be more particularly to a kind of consideration electric system adaptability and
The wind-powered electricity generation optimization planning modeling method of economy.
Background technique:
With greatly developing for wind-powered electricity generation, the uncertainty and randomness of power output are to Operation of Electric Systems and planning band
Challenge newly is carried out, wind-electricity integration problem is not only embodied in the demand side to peak-load regulating, fm capacity, is also embodied in power grid
In ability to transmit electricity demand, especially relatively weak power grid basis often makes wind-powered electricity generation be difficult to dissolve in extensive range.
Therefore wind-powered electricity generation planning will be adapted with power grid and power supply, that is, large-scale wind power integration will be with the peak modulation capacity phase of power supply
Match, do not destroy system safe and stable operation, while to match with electrical grid transmission ability, not because the position of wind power plant and installation hold
Amount selection is unreasonable, and causing wind-powered electricity generation to send out, channel is limited, and power grid construction and operating cost increase, and limits the development of wind-powered electricity generation.
It may be various that system for restricting, which receives the factor of wind-powered electricity generation, but most important factor is power supply peak modulation capacity and electricity
Net transmittability should comprehensively consider both factors and wind power plant access scheme in planning, also just by the expansion of transmission line of electricity
Exhibition, the access of the operation conditions of conventional power unit, wind power plant are coordinated and optimized in unified scope, with reach system reliability with
Invest the total optimization of performance driving economy.
The target of wind-powered electricity generation planning is on the one hand to dissolve wind-powered electricity generation on a large scale, gives full play to wind-powered electricity generation low-carbon, energy conservation and emission reduction
On the other hand benefit wants system consumption wind-powered electricity generation not cause the obvious rising of system investments and operating cost.Wind-powered electricity generation is planned at present
It is primarily upon wind electricity digestion capability and wind-powered electricity generation efficiency problem, and the influence to wind power integration power grid to existing normal power supplies considers
Seldom, so that occurring that conventional power unit operational efficiency reduces and frequent start-stop and increased fuel consumption are greater than due to using wind
Electric and saving fuel quantity is caused by the extensive of wind-powered electricity generation and receives the economy for reducing systems organization.In Chinese invention patent
The power grid rule for considering wind-powered electricity generation large-scale grid connection are disclosed in application documents (publication number CN102545258A and CN103793612A)
In the method for drawing, modeling method is primarily upon the relationship between wind-powered electricity generation comprehensive benefit and transmission line of electricity investment, it is difficult to consider system
The influence of peak modulation capacity and normal power supplies operating status to programme, the scheme obtained using model is in adaptability and economy
On be difficult to meet the requirements.
Summary of the invention:
The object of the present invention is to provide a kind of wind-powered electricity generation optimization planning modeling sides for considering electric system adaptability and economy
Method, this method effectively solve the drawback that grid adaptability is not strong, less economical in wind-powered electricity generation plan model.
To achieve the above object, the invention adopts the following technical scheme: a kind of consideration electric system adaptability and economy
Wind-powered electricity generation optimization planning modeling method, the described method comprises the following steps:
(1) electric system essential information is obtained；
(2) computation model is constructed；
(3) installed capacity, installation region, the grid load rate upper limit and the deviation degree according to target of wind power plant are set
Choose abandonment cost coefficient；
(4) model is solved.
A kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, it is described
Essential information in step (1) includes the load prediction information of Power System Planning forcasted years, forcasted years normal power supplies region rule
Draw information, machine set technology parameter, power grid key sections information, wind energy resources information and existing Electric Power Network Planning information.
A kind of wind-powered electricity generation optimization planning modeling method considering electric system adaptability and economy provided by the invention, it is described
The load prediction information of Power System Planning forcasted years includes electric load and thermic load information；The power grid key sections information by
Load and power distribution situation determine in the characteristics of power network topology, electric system；The forcasted years normal power supplies regional planning letter
Breath is obtained by the power source planning of the electric system；The wind energy resources information is determined from the wind-powered electricity generation statistical data in former years.
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the building model process in the step (2) are as follows:
(2-1) constructs optimization aim in several regional internet power grids in the case where electric power system power source planning has been determined；
(2-2) constructs constraint condition.
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the optimization aim of the step (2-1) with the abandonment expense of forcasted years, newly-built transmission line of electricity investment and system operation at
The minimum objective function of the sum of this；It, will be in the optimization aim comprising integer variable and continuous variable in the optimization aim
Quadratic function is linearized, and the model is mixed integer linear programming model.
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the constraint condition of the step (2-2) include electric system constraint, fired power generating unit constraint and wind power plant constraint.
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the optimization aim are determined by following formula (1):
MinF=Fg+Fw+∑mj·Cj (1)
Wherein,
I is machine group #, and i=1,2...I, I is the sum of fired power generating unit and wind power plant；K=1,2...K, K are that the period is total
Number；N=1,2...N, N are the sub-area division sum divided according to power grid key sections information；FgFor fired power generating unit power generation at
Originally, Pg,n,i,kFor generated output of the fired power generating unit i in period k in the n of region, Un,i,kIt is the fired power generating unit i in the n of region in k
The start and stop state of section, Sn,iMachine expense, f (P are opened for fired power generating unit ig,n,i,k) it is thermal power unit operation cost；FwFor wind power plant
Abandonment expense, Pw,n,i,kFor the practical wind power total amount being called of k period wind power plant i, P* w,n,i,kIt is pre- for k period wind power plant i
The wind power total amount of survey, βn,iFor abandonment cost coefficient；mjFor new route quantity, C between subregion x, njFor new route
In the investment construction cost in planning level year.
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the optimization aim include:
It, will if guaranteeing that the minimum primary goal of abandonment amount takes into account economy in planning fully to receive based on wind-powered electricity generation
Abandonment cost coefficient is set as being several times as much as the maximum value of normal power supplies operating cost；If being protected in planning based on economy
The minimum primary goal of system cost is demonstrate,proved, appropriate abandonment is carried out, sets 0.1 for abandonment cost coefficient；It, will if compromise considers
Abandonment cost coefficient is arranged between.
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the electric system constraint include the constraint of region power balance, the constraint of region thermodynamic equilibrium, interregional line transmission function
Rate limit restraint, load Reserve Constraint and Transmission constraints；The Transmission constraints include interregional allowing newly-built transmission of electricity
Sets of lines constraint and the constraint of interregional permission new route number；
The fired power generating unit constraint includes the constraint of fired power generating unit power generation bound, minimum start-off time constraints, Ramp Rate
Constraint, the constraint of back pressure type thermal power plant unit power generation characteristics and the constraint of bleeder thermal power plant unit power generation characteristics；
Wind power plant constraint includes Wind turbines units limits.
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the electric system constraint are determined by following formula (4)-(9):
The region power balance constraint is determined by following formula (4):
The region thermodynamic equilibrium constraint is determined by following formula (5):
The load Reserve Constraint is determined by following formula (6):
The interregional line transmission power limit constraint is determined by following formula (7):
The newly-built power transmission line travel permit number constraint is determined by following formula (8):
0≤mj≤mj,max (8)
The power line load rate constraint is determined by following formula (9):
Wherein, Px,n,kTransmission electric power of the existing line in the k period between x subregion and n subregion；Px,n,maxFor x subregion and n
The transmission limit of existing line between subregion；Pz,n,kSubregion n the k period it is outer by or electricity sent outside；Rw,n,k、Rd,n,kRespectively
It is that load of the subregion n in period k is spare spare with wind-powered electricity generation；Hg,n,i,kIt is heating load of the unit i in period k, H in subregion nd,n,kIt is
Subregion n period k heat demand,It is the transmission limit for increasing transmission line of electricity j between x subregion and n subregion newly, mj,maxIt is
Allow newly-built transmission line of electricity the upper limit of the number between x subregion and n subregion, γ is the power line load rate upper limit, Pg,n,i,maxRespectively
For the fired power generating unit power output upper limit.
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the fired power generating unit constraint are determined by following formula (9)-(17):
The unit generation bound constraint is determined by following formula (10):
Un,i,kPg,n,i,min≤Pg,n,i,k≤Un,i,kPg,n,i,max (10)
The minimum start-off time constraints are determined by following formula (11) and (12):
(Un,i,k-1-Un,i,k)(Tn,i,k-1-Tn,i,on)≥0 (11)
(Un,i,k-Un,i,k-1)(-Tn,i,k-1-Tn,i,off)≥0 (12)
The Unit Ramp Rate constraint is determined by following formula (13) and (14):
The back pressure type thermal power plant unit power generation characteristics constraint is determined by following formula (15):
Pg,n,i,k=Hg,n,i,k·d (15)
The bleeder thermal power plant unit power generation characteristics constraint is determined by following formula (16) and (17):
Pg,n,i,k> Hg,n,i,k·d (16)
Pg,n,i,max-Pg,n,i,k≥Hg,n,i,k·e (17)
Wherein, Pg,n,i,max, Pg,n,i,minRespectively fired power generating unit power output bound, Tn,i,on、Tn,i,offRespectively thermal motor
Group i minimum continuous available machine time and minimum continuous downtime,The respectively Ramp Rate bound of unit i, d
It is respectively the electric heating Transformation Parameters of back pressure type and bleeder thermal power plant unit with e；
The Wind turbines units limits are determined by following formula (18):
0≤Pw,n,i,k≤P* w,n,i,k (18)。
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, the step (4) solve the model of the step (2) according to the step (1) and step (3).
Another preferably a kind of wind-powered electricity generation optimization planning for considering electric system adaptability and economy provided by the invention is built
Mould method, if in planning analysis assessment power grid adaptability, before and after relatively newly-built transmission line of electricity, key sections transmission line of electricity
The influence that load factor variation and the increase of ability to transmit electricity dissolve wind-electricity integration；
If in planning analysis assessment power supply adaptability, compare after wind-powered electricity generation accesses on a large scale, conventional power unit load factor, list
The position variation of cost of electricity-generating and the variation of conventional power unit peak regulation requirement capability；
If analyzing the economy of evaluation scheme in planning, the system under more different wind power integration capacity and on-position
The variation of operating cost, new route investment cost and wind-powered electricity generation annual utilization hours.
Compared with the nearest prior art, the technical scheme provide by that invention has the following excellent effect
1, the present invention is enough effectively solves the drawback that grid adaptability is not strong, less economical in wind-powered electricity generation plan model, provides one
The planning modeling method of kind more economical rationality；
2, the present invention is in the case where system power supply plans fixed situation, and model considers many factors are unified, at the same count and
Programme is maximized in wind-electricity integration consumption and system investments operating cost minimizes by peak-load regulating and ability to transmit electricity constraint
Between reasonably traded off；
3, the wind-powered electricity generation Optimal Planning Model that the present invention constructs is a mixed integer linear programming model, integer variable packet
Thermal power unit operation state and transmission line construction state are included, model can both assess the peak modulation capacity of fired power generating unit to transmission line of electricity
The influence of investment construction can also assess influence of the electrical grid transmission ability to peak-load regulating, have stronger coupling；
4, present invention building inearized model is beneficial to improve the wind-powered electricity generation optimization planning problem solving of large-scale wind power access
Speed；
5, the present invention is by being arranged different parameters and considering that the wind-powered electricity generation under the available different scenes of different constraints is excellent
Change programme；
6, the present invention both can be fully received to target with wind-powered electricity generation and be planned, it is minimum can also to run cost of investment with system
Target is turned to be planned；
7, the present invention can both assess influence of the wind power integration to conventional thermal power unit operating status, then whether determine wind-powered electricity generation
Rationally dissolved；Also the synthesis optimal case of available wind energy turbine set installed capacity, wind power plant position and transmission line construction；
8, the present invention can also assess the economic sexual intercourse between wind power plant different capabilities and position and transmission line of electricity investment,
So as to make wind-powered electricity generation planning personnel set about analyzing wind-powered electricity generation programme pros and cons from multiple angles, decision goes out comprehensive optimal wind-powered electricity generation rule
The scheme of drawing.
Detailed description of the invention
Fig. 1 is the method for the present invention flow chart；
Fig. 2 is IEEE30 node system topological structure schematic diagram of the invention.
Specific embodiment
Below with reference to embodiment, the invention will be described in further detail.
Embodiment 1:
As shown in Figs. 1-2, this example invent a kind of consideration electric system adaptability and the wind-powered electricity generation optimization planning of economy is built
Mould method, comprising the following steps:
Step 1: obtaining the load prediction information of systems organization forcasted years, forcasted years normal power supplies regional planning information, machine
Group technical parameter, power grid key sections information；Wind energy resources information, existing Electric Power Network Planning information.
Step 2: construction computation model, comprising the following steps:
2.1st step: in the case where system power supply planning has been determined, optimization aim is constructed in multi area interconnection power grid: with
The minimum objective function of the sum of the abandonment expense of forcasted years, newly-built transmission line of electricity investment and system operation cost.The optimization mesh
Include integer variable and continuous variable in mark, quadratic function therein is linearized, model is mixed integer linear programming
Model.
2.2nd step: building constraint condition, comprising:
The constraint of region power balance；
The constraint of region thermodynamic equilibrium；
Interregional line transmission power limit constraint；
Load Reserve Constraint；
Fired power generating unit constraint, comprising: fired power generating unit generates electricity bound constraint, minimum start-off time constraints, Ramp Rate about
Beam, the constraint of back pressure type thermal power plant unit power generation characteristics, the constraint of bleeder thermal power plant unit power generation characteristics；
Wind power plant constraint, comprising: Wind turbines units limits；
Transmission constraints, comprising: interregional to allow newly-built transmission line of electricity collection constraint, interregional permission new route number
Constraint；
Step 3: setting installed capacity and the installation region of wind power plant, the grid load rate upper limit, according to the inclined of target
Abandonment cost coefficient is chosen to degree.
Step 4: the planning level yearly peak load information that step 1 is obtained, it has been determined that forcasted years normal power supplies region
Planning information, machine set technology parameter, region key sections information, wind power resources information, existing Electric Power Network Planning information and step 3
The parameter of setting is brought the computation model constructed in step 2 into, is solved.
Further, in step 1 systems organization forcasted years load prediction information, including electric load and thermic load information；
Power grid key sections information can be by load and power distribution situation determine the characteristics of power network topology and in system；The conventional electricity of forcasted years
Source region planning information can be obtained by the power source planning of the system；Wind energy resources information, can from the wind-powered electricity generation statistical data in former years into
Row estimation.
Further, optimization aim described in the 2.1st step in step 2 is obtained by formula (1):
MinF=Fg+Fw+∑mj·Cj (1)
Wherein, i is machine group #, and i=1,2...I, I is the sum of fired power generating unit and wind power plant；K=1,2...K, K are
Period sum；N=1,2...N, N are the sub-area division sum divided according to power grid key sections information.FgFor fired power generating unit
Cost of electricity-generating, Pg,n,i,kFor generated output of the fired power generating unit i in period k in the n of region, Un,i,kFor the fired power generating unit i in the n of region
In the start and stop state of k period, Sn,iMachine expense, f (P are opened for fired power generating unit ig,n,i,k) it is thermal power unit operation cost, i.e. fuel
Cost is following to indicate: f (Pg,n,i,k)=an,i+bn,iPg,n,i,k；FwFor the abandonment expense of wind power plant, Pw,n,i,kFor k period wind-powered electricity generation
The field practical wind power total amount being called of i, P* w,n,i,kFor the wind power total amount of k period wind power plant i prediction, βn,iFor abandonment
Cost coefficient；mjFor new route quantity, C between subregion x, njFor new route planning level year investment construction cost.
Further, the optimization aim includes following several situations: if fully to receive based on wind-powered electricity generation in planning,
Guarantee that the minimum primary goal of abandonment amount takes into account economy, abandonment cost coefficient can be set to be several times as much as normal power supplies running cost
Maximum value；If guaranteeing the minimum primary goal of system cost in planning based on economy, can suitably being abandoned
Wind sets 0.1 for abandonment cost coefficient；If compromise considers, abandonment cost coefficient is arranged between.
Further, constraint condition described in the 2.2nd step in step 2 includes:
(1) system restriction:
1) region power balance constrains:
2) region thermodynamic equilibrium constrains
3) load Reserve Constraint
4) interregional line transmission power limit constraint
5) constraint of power transmission line travel permit number is created
0≤mj≤mj,max (8)
6) power line load rate constrains
Wherein Px,n,kTransmission electric power of the existing line in the k period between x subregion and n subregion；Px,n,maxFor x subregion and n
The transmission limit of existing line between subregion；Pz,n,kSubregion n the k period it is outer by or electricity sent outside；Rw,n,k、Rd,n,kRespectively
It is that load of the subregion n in period k is spare spare with wind-powered electricity generation；Hg,n,i,kIt is heating load of the unit i in period k, H in subregion nd,n,kIt is
Subregion n period k heat demand,It is the transmission limit for increasing transmission line of electricity j between x subregion and n subregion newly, mj,maxIt is
Allow newly-built transmission line of electricity the upper limit of the number between x subregion and n subregion, γ is the power line load rate upper limit.
(2) fired power generating unit constrains
1) unit generation bound constrains
Un,i,kPg,n,i,min≤Pg,n,i,k≤Un,i,kPg,n,i,max (10)
2) minimum start-off time constraints
(un,i,k-1-un,i,k)(Tn,i,k-1-Tn,i,on)≥0 (11)
(un,i,k-un,i,k-1)(-Tn,i,k-1-Tn,i,off)≥0 (12)
3) Unit Ramp Rate constrains
4) back pressure type thermal power plant unit power generation characteristics constrain
Pg,n,i,k=Hg,n,i,k·d (15)
5) bleeder thermal power plant unit power generation characteristics constrain
Pg,n,i,k> Hg,n,i,k·d (16)
Pg,n,i,max-Pg,n,i,k≥Hg,n,i,k·e (17)
Wherein, Pg,n,i,max, Pg,n,i,minRespectively fired power generating unit power output bound, Tn,i,on、Tn,i,offRespectively thermal motor
Group i minimum continuous available machine time and minimum continuous downtime,The respectively Ramp Rate bound of unit i,
D and e is respectively the electric heating Transformation Parameters of back pressure type and bleeder thermal power plant unit.
(3) Wind turbines units limits
0≤Pw,n,i,k≤P* w,n,i,k (18)
Further, if the adaptability of power grid is assessed in analysis in planning, before and after may compare newly-built transmission line of electricity, key is broken
The influence that the load factor of face transmission line of electricity changes and the increase of ability to transmit electricity dissolves wind-electricity integration.
Further, if the adaptability of power supply is assessed in analysis in planning, after comparable wind-powered electricity generation accesses on a large scale, conventional machine
The variation of group load factor and unit cost of electricity-generating and the variation of conventional power unit peak regulation requirement capability.
Further, if analyzing the economy of evaluation scheme in planning, different wind power integration capacity and access be may compare
Under position, the variation of system operation cost, new route investment cost and wind-powered electricity generation annual utilization hours.
Finally it should be noted that: the above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, institute
The those of ordinary skill in category field is although should be understood with reference to the above embodiments: still can be to a specific embodiment of the invention
It is modified or replaced equivalently, these are without departing from any modification of spirit and scope of the invention or equivalent replacement, in Shen
Within claims of the invention that please be pending.
Claims (8)
1. a kind of wind-powered electricity generation optimization planning modeling method for considering electric system adaptability and economy, it is characterised in that: the side
Method the following steps are included:
(1) electric system essential information is obtained；
(2) computation model is constructed；
(3) installed capacity of wind power plant, region of installing, the grid load rate upper limit are set and is chosen according to the deviation degree of target
Abandonment cost coefficient；
(4) model is solved；
Essential information in the step (1) includes the load prediction information of Power System Planning forcasted years, the conventional electricity of forcasted years
Source region planning information, machine set technology parameter, power grid key sections information, wind energy resources information and existing Electric Power Network Planning letter
Breath；
The load prediction information of the Power System Planning forcasted years includes electric load and thermic load information；The power grid key is disconnected
Load and power distribution situation determine in the characteristics of face information is by power network topology, electric system；Forcasted years normal power supplies area
Domain planning information is obtained by the power source planning of the electric system；The wind energy resources information, from the wind-powered electricity generation statistical data in former years into
Row determines；
Building model process in the step (2) are as follows:
(2-1) constructs optimization aim in several regional internet power grids in the case where electric power system power source planning has been determined；
(2-2) constructs constraint condition；
The optimization aim of the step (2-1) is with the abandonment expense of forcasted years, newly-built transmission line of electricity investment and system operation cost
The sum of minimum objective function；It include integer variable and continuous variable in the optimization aim, by two in the optimization aim
Secondary function is linearized, and the model is mixed integer linear programming model；
The constraint condition of the step (2-2) includes electric system constraint, fired power generating unit constraint and wind power plant constraint.
2. a kind of wind-powered electricity generation optimization planning modeling method for considering electric system adaptability and economy as described in claim 1,
It is characterized by: the optimization aim is determined by following formula (1):
MinF=Fg+Fw+∑mj·Cj (1)
Wherein,
I is machine group #, and i=1,2...I, I is the sum of fired power generating unit and wind power plant；K=1,2...K, K are period sum；n
=1,2...N, N are the sub-area division sum divided according to power grid key sections information；FgFor fired power generating unit cost of electricity-generating,
Pg,n,i,kFor generated output of the fired power generating unit i in period k in the n of region, Un,i,kIt is the fired power generating unit i in the n of region in the k period
Start and stop state, Sn,iMachine expense, f (P are opened for fired power generating unit ig,n,i,k) it is thermal power unit operation cost；FwFor the abandonment of wind power plant
Expense, Pw,n,i,kFor the practical wind power total amount being called of k period wind power plant i, P* w,n,i,kFor k period wind power plant i prediction
Wind power total amount, βn,iFor abandonment cost coefficient；mjFor new route quantity, C between subregion x, njIt is being advised for new route
It strikes the investment construction cost in non-leap year.
3. a kind of wind-powered electricity generation optimization planning modeling method for considering electric system adaptability and economy as claimed in claim 2,
It is characterized by: the optimization aim includes:
If guaranteeing that the minimum primary goal of abandonment amount takes into account economy, by abandonment fully to receive based on wind-powered electricity generation in planning
Cost coefficient is set as being several times as much as the maximum value of normal power supplies operating cost；If in planning based on economy, guarantee be
System cost minimization is primary goal, carries out appropriate abandonment, sets 0.1 for abandonment cost coefficient；If compromise considers, by abandonment
Cost coefficient is arranged between.
4. a kind of wind-powered electricity generation optimization planning modeling method for considering electric system adaptability and economy as described in claim 1,
It is characterized by: the electric system constraint includes the constraint of region power balance, the constraint of region thermodynamic equilibrium, interregional route biography
Defeated power limit constraint, load Reserve Constraint and Transmission constraints；The Transmission constraints include interregional allowing to create
The constraint of transmission line of electricity collection and the constraint of interregional permission new route number；
Fired power generating unit constraint include the constraint of fired power generating unit power generation bound, minimum start-off time constraints, Ramp Rate constraint,
The constraint of back pressure type thermal power plant unit power generation characteristics and the constraint of bleeder thermal power plant unit power generation characteristics；
Wind power plant constraint includes Wind turbines units limits.
5. a kind of wind-powered electricity generation optimization planning modeling method for considering electric system adaptability and economy as claimed in claim 4,
It is characterized by: the electric system constraint is determined by following formula (4)-(9):
The region power balance constraint is determined by following formula (4):
The region thermodynamic equilibrium constraint is determined by following formula (5):
The load Reserve Constraint is determined by following formula (6):
The interregional line transmission power limit constraint is determined by following formula (7):
The newly-built power transmission line travel permit number constraint is determined by following formula (8):
0≤mj≤mj,max (8)
The power line load rate constraint is determined by following formula (9):
Wherein, Px,n,kTransmission electric power of the existing line in the k period between x subregion and n subregion；Px,n,maxFor x subregion and n subregion
Between existing line transmission limit；Pz,n,kSubregion n the k period it is outer by or electricity sent outside；Rw,n,k、Rd,n,kIt is point respectively
Load of the area n in period k is spare spare with wind-powered electricity generation；Hg,n,i,kIt is heating load of the unit i in period k, H in subregion nd,n,kIt is subregion
N period k heat demand,It is the transmission limit for increasing transmission line of electricity j between x subregion and n subregion newly, mj,maxIt is x points
Allow newly-built transmission line of electricity the upper limit of the number between area and n subregion, γ is the power line load rate upper limit, Pg,n,i,maxRespectively
The fired power generating unit power output upper limit.
6. a kind of wind-powered electricity generation optimization planning modeling method for considering electric system adaptability and economy as claimed in claim 5,
It is characterized by: the fired power generating unit constraint is determined by following formula (9)-(17):
The unit generation bound constraint is determined by following formula (10):
Un,i,kPg,n,i,min≤Pg,n,i,k≤Un,i,kPg,n,i,max (10)
The minimum start-off time constraints are determined by following formula (11) and (12):
(Un,i,k-1-Un,i,k)(Tn,i,k-1-Tn,i,on)≥0 (11)
(Un,i,k-Un,i,k-1)(-Tn,i,k-1-Tn,i,off)≥0 (12)
The Unit Ramp Rate constraint is determined by following formula (13) and (14):
The back pressure type thermal power plant unit power generation characteristics constraint is determined by following formula (15):
Pg,n,i,k=Hg,n,i,k·d (15)
The bleeder thermal power plant unit power generation characteristics constraint is determined by following formula (16) and (17):
Pg,n,i,k> Hg,n,i,k·d (16)
Pg,n,i,max-Pg,n,i,k≥Hg,n,i,k·e (17)
Wherein, Pg,n,i,max, Pg,n,i,minRespectively fired power generating unit power output bound, Tn,i,on、Tn,i,offRespectively fired power generating unit i is most
Small continuous available machine time and minimum continuous downtime,The respectively Ramp Rate bound of unit i, d and e points
Not Wei back pressure type and bleeder thermal power plant unit electric heating Transformation Parameters；
The Wind turbines units limits are determined by following formula (18):
0≤Pw,n,i,k≤P* w,n,i,k (18)。
7. a kind of wind-powered electricity generation optimization planning modeling method for considering electric system adaptability and economy as described in claim 1,
It is characterized by: the step (4) solves the model of the step (2) according to the step (1) and step (3).
8. a kind of wind-powered electricity generation optimization planning modeling method for considering electric system adaptability and economy as claimed in claim 4,
It is characterized by: if the adaptability of power grid is assessed in analysis in planning, relatively more newly-built transmission line of electricity front and back, key sections power transmission line
The influence that the load factor on road changes and the increase of ability to transmit electricity dissolves wind-electricity integration；
If in planning analysis assessment power supply adaptability, compare after wind-powered electricity generation access on a large scale, conventional power unit load factor, unit are sent out
The variation of electric cost and the variation of conventional power unit peak regulation requirement capability；
System operation if analyzing the economy of evaluation scheme in planning, under more different wind power integration capacity and on-position
The variation of cost, new route investment cost and wind-powered electricity generation annual utilization hours.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410505782.4A CN105528466B (en) | 2014-09-28 | 2014-09-28 | Consider the wind-powered electricity generation optimization planning modeling method of electric system adaptability and economy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410505782.4A CN105528466B (en) | 2014-09-28 | 2014-09-28 | Consider the wind-powered electricity generation optimization planning modeling method of electric system adaptability and economy |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105528466A CN105528466A (en) | 2016-04-27 |
| CN105528466B true CN105528466B (en) | 2019-04-05 |
Family
ID=55770689
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410505782.4A Active CN105528466B (en) | 2014-09-28 | 2014-09-28 | Consider the wind-powered electricity generation optimization planning modeling method of electric system adaptability and economy |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105528466B (en) |
Families Citing this family (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106099991B (en) * | 2016-06-20 | 2018-06-26 | 广西电网有限责任公司电力科学研究院 | A kind of power grid wind electricity digestion capability appraisal procedure |
| CN106208047B (en) * | 2016-08-08 | 2018-08-17 | 国网天津市电力公司 | A kind of power grid unit output method of adjustment considering energy-saving and emission-reduction benefit |
| CN106549409A (en) * | 2016-12-20 | 2017-03-29 | 国家电网公司 | Consider the receiving end electric network source planing method that extra-high voltage direct-current is accessed |
| CN107039971B (en) * | 2017-03-24 | 2019-07-16 | 浙江大学 | It is a kind of to dispatch the power transmission and transforming equipment dynamic compatibilization method mutually cooperateed with Unit Combination |
| CN107239859B (en) * | 2017-06-05 | 2018-05-08 | 国网山东省电力公司电力科学研究院 | Heating load forecasting method based on series connection shot and long term memory Recognition with Recurrent Neural Network |
| CN107292766B (en) * | 2017-06-26 | 2023-06-20 | 国网能源研究院有限公司 | Wind power consumption-oriented power system peak regulation means economical evaluation method and system |
| CN107292539A (en) * | 2017-07-28 | 2017-10-24 | 国网芜湖供电公司 | A kind of index method for assessing regenerative resource digestion capability |
| CN109428344B (en) * | 2017-09-01 | 2022-03-25 | 国家电网公司 | Multi-power-supply investment planning method and device comprising wind power plant |
| CN107681654B (en) * | 2017-09-06 | 2022-07-26 | 国网福建省电力有限公司经济技术研究院 | Multi-target power grid planning method and device considering new energy consumption and environmental benefits |
| CN108563803A (en) * | 2018-01-04 | 2018-09-21 | 国网能源研究院有限公司 | Electric power pattern construction method towards connection to global networks |
| CN109447456B (en) * | 2018-10-24 | 2022-07-22 | 国网四川省电力公司南充供电公司 | Wind power grid-connected power system planning method considering short-term demand response |
| CN110020743A (en) * | 2018-12-29 | 2019-07-16 | 国网新疆电力有限公司经济技术研究院 | A kind of interconnection passway for transmitting electricity method for planning capacity |
| CN110048456A (en) * | 2019-04-25 | 2019-07-23 | 国网福建省电力有限公司 | A kind of source net joint planing method based on large-scale wind power access power transmission network |
| CN111130145B (en) * | 2019-12-06 | 2023-11-17 | 天津大学 | Wind-solar unit assembly capacity optimization planning method based on wind and light discarding |
| CN111799842B (en) * | 2020-07-31 | 2023-11-10 | 国网山东省电力公司经济技术研究院 | Multi-stage power transmission network planning method and system considering flexibility of thermal power generating unit |
| CN112418614B (en) * | 2020-11-04 | 2024-01-30 | 华北电力大学 | Method and system for determining adjustable resource construction scheme of power system |
| CN112564187A (en) * | 2020-12-15 | 2021-03-26 | 深圳供电局有限公司 | Wind-storage combined planning method for power system |
| CN112886636B (en) * | 2021-01-27 | 2022-06-21 | 清华大学 | P2X modeling and optimizing method for high-proportion renewable energy power system |
| CN113379237B (en) * | 2021-06-09 | 2023-11-24 | 国家电网有限公司 | Peak regulation adaptability judging method and system for proton exchange membrane fuel cell |
| CN114564815B (en) * | 2022-01-14 | 2024-03-15 | 重庆邮电大学 | Power system reliability and economy modeling method based on Brazier paradox effect |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102280878A (en) * | 2011-07-26 | 2011-12-14 | 国电南瑞科技股份有限公司 | Wind power penetration optimization evaluation method based on SCED |
| EP2437372A2 (en) * | 2010-10-04 | 2012-04-04 | The Boeing Company | Smart microgrid |
| CN102545258A (en) * | 2012-01-12 | 2012-07-04 | 西安交通大学 | Power grid optimal planning method of large-scale grid-connected wind farm |
| CN103475013A (en) * | 2013-09-27 | 2013-12-25 | 清华大学 | Method and system for comprehensively optimizing energy storing power station planning and operating |
-
2014
- 2014-09-28 CN CN201410505782.4A patent/CN105528466B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2437372A2 (en) * | 2010-10-04 | 2012-04-04 | The Boeing Company | Smart microgrid |
| CN102280878A (en) * | 2011-07-26 | 2011-12-14 | 国电南瑞科技股份有限公司 | Wind power penetration optimization evaluation method based on SCED |
| CN102545258A (en) * | 2012-01-12 | 2012-07-04 | 西安交通大学 | Power grid optimal planning method of large-scale grid-connected wind farm |
| CN103475013A (en) * | 2013-09-27 | 2013-12-25 | 清华大学 | Method and system for comprehensively optimizing energy storing power station planning and operating |
Non-Patent Citations (1)
| Title |
|---|
| 大规模风电接入电力系统调度模式的经济性比较;张粒子 等;《电力系统自动化》;20111125;第35卷(第22期);105-110 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105528466A (en) | 2016-04-27 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105528466B (en) | Consider the wind-powered electricity generation optimization planning modeling method of electric system adaptability and economy | |
| Zhou et al. | Quantification of energy flexibility of residential net-zero-energy buildings involved with dynamic operations of hybrid energy storages and diversified energy conversion strategies | |
| Dong et al. | An inexact optimization modeling approach for supporting energy systems planning and air pollution mitigation in Beijing city | |
| CN108123492B (en) | A kind of generation schedule optimization method a few days ago considering thermoelectricity electric heat storage combined adjusting peak | |
| CN104377693A (en) | Production simulation model for power generation | |
| CN106786509A (en) | Large-scale wind power and the combined heat and power dispatching method based on many scenario simulations off the net | |
| Sun et al. | Green financing and wind power energy generation: Empirical insights from China | |
| CN106127342A (en) | A kind of transregional interconnection transaction optimization method based on SCUC | |
| CN104578183A (en) | Tie-line power transmission plan optimization method for improving low-carbon level of electric system | |
| CN107832542A (en) | A kind of Unit Combination Optimization Scheduling based on spatial and temporal scales consumption scene | |
| Omer et al. | Indian power system: Issues and Opportunities | |
| Kalampalikas et al. | A model for the development of a power production system in Greece, Part II: Where RES meet EU targets | |
| Palchak et al. | India 2030 wind and solar integration study: Interim report | |
| Barberis et al. | Heat pump integration in a real poly-generative energy district: A techno-economic analysis | |
| Guo et al. | Flexible operation of integrated energy system with HVDC infeed considering multi-retrofitted combined heat and power units | |
| Stich et al. | Modelling a low-carbon power system for Indonesia, Malaysia and Singapore | |
| McGarrigle et al. | Cost savings from relaxation of operational constraints on a power system with high wind penetration | |
| Li et al. | Decision on optimal building energy efficiency standard in China—the case for Tianjin | |
| Ding et al. | Long-term operation rules of a hydro–wind–photovoltaic hybrid system considering forecast information | |
| Li et al. | Analysis of China's wind power development driven by incentive policies based on system dynamics model | |
| CN115169128A (en) | Comprehensive energy system unit combination method and system considering network dynamic characteristics | |
| Wang et al. | Multi-timescale risk scheduling for transmission and distribution networks for highly proportional distributed energy access | |
| Reyes–Ascanio et al. | Application of microgrids to improve resilience with a focus on healthcare | |
| Miao et al. | A gas-thermal inertia-based frequency response strategy considering the suppression of a second frequency dip in an integrated energy system | |
| Bayram | Smart grids and load profiles in the gcc region |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |