CN108448574B - A kind of capacity configuration optimizing method that wind power plant is generated electricity by way of merging two or more grid systems with photovoltaic DC field - Google Patents
A kind of capacity configuration optimizing method that wind power plant is generated electricity by way of merging two or more grid systems with photovoltaic DC field Download PDFInfo
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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
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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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H02J3/383—
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- H02J3/386—
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
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- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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Abstract
The invention discloses the capacity configuration optimizing methods that a kind of wind power plant and photovoltaic DC field are generated electricity by way of merging two or more grid systems, by optimizing configuration to wind power plant and photovoltaic DC field installation arrangement capacity, configuration is optimized to wind power plant and photovoltaic DC field stored energy capacitance, and by the square distribution of blower in wind power plant, the inverter of wind power plant is located at the center of square, by the rounded distribution of photovoltaic panel in photovoltaic DC field, and the inverter in photovoltaic DC field is located at round the center point, enable to wind power plant and photovoltaic DC field when grid-connected, guarantee stable output, improve the reliability of power grid, reduce project cost, it has a good application prospect.
Description
Technical field
The present invention relates to the capacity configuration optimizing methods that a kind of wind power plant and photovoltaic DC field are generated electricity by way of merging two or more grid systems, and belong to new energy simultaneously
Network technology field.
Background technique
With the fast development of new energy technology, wind power plant and photovoltaic DC field are the new energy being used widely.But
Since wind power plant and photovoltaic DC field are in power generation process, by extraneous and itself influenced, when leading to grid-connected, there are non-linear and
Uncontrollable problem when grid-connected, can bring the power quality of power grid especially for the wind power plant and photovoltaic DC field of large capacity
Undesirable influence.
In wind power plant and photovoltaic DC field system design process, determine that capacity is a critical issue, it not only can direct shadow
Ring its project cost, moreover it is possible to ensure that wind power plant and photovoltaic DC field when grid-connected, provide stable output, therefore, wind power plant with
Photovoltaic DC field distributes the key for becoming construction grid-connected power generation system rationally.
Instantly the optimization collocation for how seeking wind power plant Yu photovoltaic DC field capacity, enables to wind power plant and photovoltaic DC field
When grid-connected, guarantee stable output, to improve the reliability of power grid, and reducing project cost is currently to need what is solved to ask
Topic.
Summary of the invention
The invention aims to the capacity for overcoming existing wind power plant and photovoltaic DC field to generate electricity by way of merging two or more grid systems to distribute presence rationally
The problem of.The capacity configuration optimizing method that wind power plant and photovoltaic DC field of the invention is generated electricity by way of merging two or more grid systems, enables to wind power plant and light
Volt electric field guarantees stable output when grid-connected, and improves the reliability of power grid, reduces project cost, has good application
Prospect.
In order to achieve the above object, the technical scheme adopted by the invention is that:
A kind of capacity configuration optimizing method that wind power plant is generated electricity by way of merging two or more grid systems with photovoltaic DC field, includes the following steps,
Step (A) optimizes configuration to wind power plant and photovoltaic DC field installation arrangement capacity
(A1), according to wind power plant, the latitude and longitude information of photovoltaic DC field infield, each moon is obtained in installation the first two years too
Positive irradiation level mean value, wind speed mean value；
(A2), the electrical network parameter grid-connected according to power distribution network, the parameter of configuration blower, photovoltaic panel, and determine information on load；
(A3), the installation arrangement capacity for being located at wind power plant and photovoltaic DC field in power distribution network is WFS, WFS=WF+WS, wherein WF
Capacity, W are arranged for the installation of wind power plantSCapacity is arranged for the installation of photovoltaic DC field, passes through the load-loss probability LOLP of power distribution network
Reliability R as power distribution networkFSEvaluation index, reliability RFSWhen optimal, LOLP is minimum, in order to realize min LOLP, needs
Meet following constraint condition, as shown in formula (1),
Wherein, function phi (S, D, Y0,w,WF,WS) it is that the power distribution network LOLP based on sequence operation theory seeks function, S is
The resource of equilibrium of supply and demand process is participated in, which includes power plant, wind power plant, photovoltaic DC field；D is to participate in equilibrium of supply and demand process
Load；Y0For the electrical network parameter of power distribution network；W is the meteorological data of power distribution network location, and meteorological data is in installation the first two years
Solar irradiance mean value, the wind speed mean value of each moon；WFminWith WFmaxRespectively indicate wind power plant installation arrangement capacity minimum limit with
Top limit, WSminWith WSmaxRespectively indicate the minimum limit and top limit of photovoltaic electric field installed capacity；
(A4), it is copied directly into next according to (A3) by the optimal chromosome of this generation population without intersecting, making a variation
For population, to keep population scale constant, next-generation worst chromosome is left out, meanwhile, the optimal solution decision of the derivation of equation (1)
Variable WFS, so that the reliability R of entire distribution systemFSOptimal, then LOLP is minimum；
Step (B) optimizes configuration to wind power plant and photovoltaic DC field stored energy capacitance
(B1), to the active power of output Pw of wind power plant, active power aim curve is obtained by low-pass filter；
(B2), by the cell charging state of wind power plant, the smoothing time constant in low-pass filter is repaired
Just, meanwhile, according to the sign symbol of the energy-storage units output power Pb of wind power plant, in conjunction with the amendment of smoothing time constant, finally
The output power reference value of wind power plant is obtained, which is target power；
(B3), the output power reference value of wind power plant is split as multiple power and gives stator output power PFcn, further according to monitoring
The case where all battery modules arrived, carries out power distribution to each battery group, on the basis for ensuring to export target power
On, reduce the charge and discharge number of each battery group, prolong the service life, completes distributing rationally for wind farm energy storage capacity；
(B4), the energy-storage units optimization aim in photovoltaic DC field is established, as shown in formula (2),
F=min { EScn,PScn} (2)
Wherein, EScnFor the total capacity of the energy-storage units in photovoltaic DC field, PScnMost for the energy-storage units in photovoltaic DC field
Big charge power；
(B5), using the steady state Safe Operation of power distribution network as the constraint condition of the energy-storage units optimization aim in photovoltaic DC field,
As shown in formula (3),
Wherein, Pi、QiThe respectively active power output of node i photovoltaic panel and idle power output, Pimin、Pimax、Qimin、QimaxRespectively
For the active power output of node i photovoltaic panel and the upper and lower limit of idle power output；SijThe trend of route ij is flowed through when grid-connected for power distribution network,
SijmaxThe maximum power allowed to flow through for route ij；UiFor the voltage magnitude of node i photovoltaic panel, UiminAnd UimaxRespectively indicate section
The bound of point i photovoltaic panel voltage magnitude；
(B6), according to the constraint condition of energy-storage units optimization aim, according to formula (4), be calculated photovoltaic DC field and
Net per day grid-connected power SPV, maximum grid-connected power SP of the grid-connected day of photovoltaic DC fieldVmax, the grid-connected day minimum of photovoltaic DC field is grid-connected
Power SPVmin,
Wherein, V=24 hours, PVIt (t) is the grid-connected realtime power of photovoltaic DC field；
△ S is material calculation, the total capacity E of the energy-storage units in photovoltaic DC fieldScn, energy-storage units in photovoltaic DC field
Maximum charge power PScn, as shown in formula (5), (6),
PScn=SPVmax-SPdVmax (6)
Wherein, SPdVmaxFor the grid-connected power of maximum for the photovoltaic DC field that power distribution network allows；
Step (C), by the square distribution of blower in wind power plant, the inverter of wind power plant is located at the center of square
Place；By the rounded distribution of photovoltaic panel in photovoltaic DC field, and the inverter in photovoltaic DC field is located at round the center point.
The capacity configuration optimizing method that a kind of wind power plant above-mentioned and photovoltaic DC field generate electricity by way of merging two or more grid systems, in step (A1), according to
Wind power plant, the latitude and longitude information of photovoltaic DC field infield are the meteorological datas combined at this by latitude and longitude information, obtain peace
Fill solar irradiance mean value, the wind speed mean value of each moon in the first two years.
The capacity configuration optimizing method that a kind of wind power plant above-mentioned and photovoltaic DC field generate electricity by way of merging two or more grid systems in step (A3), is based on
The power distribution network LOLP of sequence operation theory seeks function, and specific calculating process is as follows,
(A31), photovoltaic panel in the blower and photovoltaic DC field in all wind power plants is unified for generation assets, each power generation is provided
Source is arranged successively into supply-demand mode ordered set Q；
(A32), the average size common factor Δ C of wind power plant and photovoltaic DC field installation arrangement capacity is determined；
(A33), the initial residual nargin probability distribution of each generation assets and the initial residual nargin probability of each demand are determined
Distribution；
(A34), judge whether ordered set Q is empty, if so, showing that supply and demand has balanced at this time, is executed (A36)；Otherwise, it holds
Row (A35)；
(A35), first element for working as poset Q is taken out, the corresponding generation assets of the element and demand is enabled to carry out one
Secondary equilibrium of supply and demand amendment, the initial residual of the initial residual nargin probability distribution and each demand of correcting each generation assets at this time are abundant
After spending probability distribution, the element is deleted from as poset Q, and repeat (A34)；
(A36), according to the corresponding initial residual nargin probability distribution of each demand at this time, power distribution network LOLP is calculated, such as
Formula (7) is as follows,
Wherein, N is the quantity of demand, and n is n-th of demand, LOLPnFor the load-loss probability of n-th of demand, PRn(0) it is
The initial residual nargin probability distribution of n-th of demand.
The capacity configuration optimizing method that a kind of wind power plant above-mentioned and photovoltaic DC field generate electricity by way of merging two or more grid systems, in step (A4), meanwhile,
Roulette selection, multiple point crossover and multiple spot variation are taken, the optimal solution decision variable W of formula (1) is obtainedFS。
The capacity configuration optimizing method that a kind of wind power plant above-mentioned and photovoltaic DC field generate electricity by way of merging two or more grid systems, it is described in step (B1)
Low-pass filter is five rank Butterworth active low-pass filters.
The capacity configuration optimizing method that a kind of wind power plant above-mentioned and photovoltaic DC field generate electricity by way of merging two or more grid systems, in step (B3), true
It protects on the basis of output target power, reduces the charge and discharge number of each battery group, prolong the service life, complete wind power plant storage
Energy capacity is distributed rationally, and the output power reference value of the energy-storage units output power Pb and wind power plant that need to meet wind power plant are protected
It holds as 1:4, the energy storage time of each battery group is 5 hours.
The beneficial effects of the present invention are: the capacity side of distributing rationally that wind power plant of the invention and photovoltaic DC field generate electricity by way of merging two or more grid systems
Method, by optimizing configuration to wind power plant and photovoltaic DC field installation arrangement capacity, to wind power plant and photovoltaic DC field stored energy capacitance
Configuration is optimized, and by the square distribution of blower in wind power plant, the inverter of wind power plant is located at the center of square,
By the rounded distribution of photovoltaic panel in photovoltaic DC field, and the inverter in photovoltaic DC field is located at round the center point, enables to wind
Electric field and photovoltaic DC field guarantee stable output when grid-connected, improve the reliability of power grid, reduce project cost, have good
Application prospect.
Detailed description of the invention
Fig. 1 is the flow chart for the capacity configuration optimizing method that wind power plant and photovoltaic DC field of the invention are generated electricity by way of merging two or more grid systems.
Specific embodiment
Below in conjunction with Figure of description, the present invention will be further described.Following embodiment is only used for clearly
Illustrate technical solution of the present invention, and not intended to limit the protection scope of the present invention.
As shown in Figure 1, the capacity configuration optimizing method that a kind of wind power plant and photovoltaic DC field generate electricity by way of merging two or more grid systems, it is characterised in that:
Include the following steps,
Step (A) optimizes configuration to wind power plant and photovoltaic DC field installation arrangement capacity
(A1), according to wind power plant, the latitude and longitude information of photovoltaic DC field infield, each moon is obtained in installation the first two years too
Positive irradiation level mean value, wind speed mean value, tool are the meteorological datas combined at this by latitude and longitude information, are obtained in installation the first two years
Solar irradiance mean value, the wind speed mean value of each moon；
(A2), the electrical network parameter grid-connected according to power distribution network, the parameter of configuration blower, photovoltaic panel, and determine information on load；
(A3), the installation arrangement capacity for being located at wind power plant and photovoltaic DC field in power distribution network is WFS, WFS=WF+WS, wherein WF
Capacity, W are arranged for the installation of wind power plantSCapacity is arranged for the installation of photovoltaic DC field, passes through the load-loss probability LOLP of power distribution network
Reliability R as power distribution networkFSEvaluation index, reliability RFSWhen optimal, LOLP is minimum, in order to realize min LOLP, needs
Meet following constraint condition, as shown in formula (1),
Wherein, function phi (S, D, Y0,w,WF,WS) it is that the power distribution network LOLP based on sequence operation theory seeks function, S is
The resource of equilibrium of supply and demand process is participated in, which includes power plant, wind power plant, photovoltaic DC field；D is to participate in equilibrium of supply and demand process
Load；Y0For the electrical network parameter of power distribution network；W is the meteorological data of power distribution network location, and meteorological data is in installation the first two years
Solar irradiance mean value, the wind speed mean value of each moon；WFminWith WFmaxRespectively indicate wind power plant installation arrangement capacity minimum limit with
Top limit, WSminWith WSmaxRespectively indicate the minimum limit and top limit of photovoltaic electric field installed capacity, function phi
(S,D,Y0,w,WF,WS) specific calculating process it is as follows,
(A31), photovoltaic panel in the blower and photovoltaic DC field in all wind power plants is unified for generation assets, each power generation is provided
Source is arranged successively into supply-demand mode ordered set Q；
(A32), the average size common factor Δ C of wind power plant and photovoltaic DC field installation arrangement capacity is determined；
(A33), the initial residual nargin probability distribution of each generation assets and the initial residual nargin probability of each demand are determined
Distribution；
(A34), judge whether ordered set Q is empty, if so, showing that supply and demand has balanced at this time, is executed (A36)；Otherwise, it holds
Row (A35)；
(A35), first element for working as poset Q is taken out, the corresponding generation assets of the element and demand is enabled to carry out one
Secondary equilibrium of supply and demand amendment, the initial residual of the initial residual nargin probability distribution and each demand of correcting each generation assets at this time are abundant
After spending probability distribution, the element is deleted from as poset Q, and repeat (A34)；
(A36), according to the corresponding initial residual nargin probability distribution of each demand at this time, power distribution network LOLP is calculated, such as
Formula (7) is as follows,
Wherein, N is the quantity of demand, and n is n-th of demand, LOLPnFor the load-loss probability of n-th of demand, PRn(0) it is
The initial residual nargin probability distribution of n-th of demand；
(A4), it is copied directly into next according to (A3) by the optimal chromosome of this generation population without intersecting, making a variation
For population, to keep population scale constant, next-generation worst chromosome is left out, take roulette selection, multiple point crossover and
Multiple spot variation, obtains the optimal solution decision variable W of formula (1)FS, so that the reliability R of entire distribution systemFSIt is optimal, then LOLP
It is minimum；
Step (B) optimizes configuration to wind power plant and photovoltaic DC field stored energy capacitance
(B1), to the active power of output Pw of wind power plant, active power aim curve is obtained by low-pass filter, here
It is preferred that five rank Butterworth active low-pass filters, design is convenient, and filtering is small more preferable, can obtain accurate active power mesh
Mark curve；
(B2), by the cell charging state of wind power plant, the smoothing time constant in low-pass filter is repaired
Just, meanwhile, according to the sign symbol of the energy-storage units output power Pb of wind power plant, in conjunction with the amendment of smoothing time constant, finally
The output power reference value of wind power plant is obtained, which is target power；
(B3), the output power reference value of wind power plant is split as multiple power and gives stator output power PFcn, further according to monitoring
The case where all battery modules arrived, carries out power distribution to each battery group, on the basis for ensuring to export target power
On, reduce the charge and discharge number of each battery group, prolong the service life, complete distributing rationally for wind farm energy storage capacity, also
The output power reference value of the energy-storage units output power Pb and wind power plant that need to meet wind power plant remain 1:4, each battery
The energy storage time of group is 5 hours；
(B4), the energy-storage units optimization aim in photovoltaic DC field is established, as shown in formula (2),
F=min { EScn,PScn} (2)
Wherein, EScnFor the total capacity of the energy-storage units in photovoltaic DC field, PScnMost for the energy-storage units in photovoltaic DC field
Big charge power；
(B5), using the steady state Safe Operation of power distribution network as the constraint condition of the energy-storage units optimization aim in photovoltaic DC field,
As shown in formula (3),
Wherein, Pi、QiThe respectively active power output of node i photovoltaic panel and idle power output, Pimin、Pimax、Qimin、QimaxRespectively
For the active power output of node i photovoltaic panel and the upper and lower limit of idle power output；SijThe trend of route ij is flowed through when grid-connected for power distribution network,
SijmaxThe maximum power allowed to flow through for route ij；UiFor the voltage magnitude of node i photovoltaic panel, UiminAnd UimaxRespectively indicate section
The bound of point i photovoltaic panel voltage magnitude；
(B6), according to the constraint condition of energy-storage units optimization aim, according to formula (4), be calculated photovoltaic DC field and
Net per day grid-connected power SPV, maximum grid-connected power SP of the grid-connected day of photovoltaic DC fieldVmax, the grid-connected day minimum of photovoltaic DC field is grid-connected
Power SPVmin,
Wherein, V=24 hours, PVIt (t) is the grid-connected realtime power of photovoltaic DC field；
△ S is material calculation, the total capacity E of the energy-storage units in photovoltaic DC fieldScn, energy-storage units in photovoltaic DC field
Maximum charge power PScn, as shown in formula (5), (6),
PScn=SPVmax-SPdVmax (6)
Wherein, SPdVmaxFor the grid-connected power of maximum for the photovoltaic DC field that power distribution network allows；
Step (C), by the square distribution of blower in wind power plant, the inverter of wind power plant is located at the center of square
Place；By the rounded distribution of photovoltaic panel in photovoltaic DC field, and the inverter in photovoltaic DC field is located at round the center point, Ci Zhongfen
Cloth makes the total dosage of entire cable use minimum, to reduce line loss, reduces cost, moreover it is possible to improve wind power plant and photovoltaic DC field
Energy conversion efficiency, and enable single inverter input terminal and photovoltaic module or fan assembly power according to inversion
1.1 times of device rated power are configured, and the output power of inverter is sufficiently improved.
In conclusion the capacity configuration optimizing method that wind power plant of the invention and photovoltaic DC field generate electricity by way of merging two or more grid systems, by wind
Electric field and photovoltaic DC field installation arrangement capacity optimize configuration, optimize and match with photovoltaic DC field stored energy capacitance to wind power plant
It sets, and by the square distribution of blower in wind power plant, the inverter of wind power plant is located at the center of square, by photovoltaic DC field
The rounded distribution of interior photovoltaic panel, and the inverter in photovoltaic DC field is located at round the center point, enables to wind power plant and photovoltaic
Electric field guarantees stable output when grid-connected, improves the reliability of power grid, reduces project cost, has a good application prospect.
Basic principles and main features and advantage of the invention have been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, and the above embodiments and description only describe originals of the invention
Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements
It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (6)
1. the capacity configuration optimizing method that a kind of wind power plant and photovoltaic DC field generate electricity by way of merging two or more grid systems, it is characterised in that: include the following steps,
Step (A) optimizes configuration to wind power plant and photovoltaic DC field installation arrangement capacity
(A1), according to wind power plant, the latitude and longitude information of photovoltaic DC field infield, the sun spoke of each moon in installation the first two years is obtained
Illumination mean value, wind speed mean value；
(A2), the electrical network parameter grid-connected according to power distribution network, the parameter of configuration blower, photovoltaic panel, and determine information on load；
(A3), the installation arrangement capacity for being located at wind power plant and photovoltaic DC field in power distribution network is WFS, WFS=WF+WS, wherein WFFor wind
Capacity, W are arranged in the installation of electric fieldSCapacity is arranged for the installation of photovoltaic DC field, passes through the load-loss probability LOLP conduct of power distribution network
The reliability R of power distribution networkFSEvaluation index, reliability RFSWhen optimal, LOLP is minimum, in order to realize min LOLP, needs to meet
Following constraint condition, as shown in formula (1),
Wherein, function phi (S, D, Y0,w,WF,WS) it is that the power distribution network LOLP based on sequence operation theory seeks function, S is to participate in
The resource of equilibrium of supply and demand process, the resource include power plant, wind power plant, photovoltaic DC field；D is to participate in bearing for equilibrium of supply and demand process
Lotus；Y0For the electrical network parameter of power distribution network；W is the meteorological data of power distribution network location, and meteorological data is each in installation the first two years
Solar irradiance mean value, the wind speed mean value of the moon；WFminWith WFmaxRespectively indicate wind power plant installation arrangement capacity minimum limit with most
Big limit, WSminWith WSmaxRespectively indicate the minimum limit and top limit of photovoltaic electric field installed capacity；
(A4), next-generation kind is copied directly by the optimal chromosome of this generation population without intersecting, making a variation according to (A3)
Group leaves out next-generation worst chromosome to keep population scale constant, meanwhile, the optimal solution decision variable of the derivation of equation (1)
WFS, so that the reliability R of entire distribution systemFSOptimal, then LOLP is minimum；
Step (B) optimizes configuration to wind power plant and photovoltaic DC field stored energy capacitance
(B1), to the active power of output Pw of wind power plant, active power aim curve is obtained by low-pass filter；
(B2), by the cell charging state of wind power plant, the smoothing time constant in low-pass filter is modified, together
When, wind is finally obtained in conjunction with the amendment of smoothing time constant according to the sign symbol of the energy-storage units output power Pb of wind power plant
The output power reference value of electric field, the output power reference value are target power；
(B3), the output power reference value of wind power plant is split as multiple power and gives stator output power PFcn, further according to what is monitored
The case where all battery modules, carries out power distribution to each battery group, on the basis of ensuring to export target power, subtracts
The charge and discharge number of small each battery group, prolongs the service life, completes distributing rationally for wind farm energy storage capacity；
(B4), the energy-storage units optimization aim in photovoltaic DC field is established, as shown in formula (2),
F=min { EScn,PScn} (2)
Wherein, EScnFor the total capacity of the energy-storage units in photovoltaic DC field, PScnMaximum for the energy-storage units in photovoltaic DC field is filled
Electrical power；
(B5), such as public using the steady state Safe Operation of power distribution network as the constraint condition of the energy-storage units optimization aim in photovoltaic DC field
Shown in formula (3),
Wherein, Pi、QiThe respectively active power output of node i photovoltaic panel and idle power output, Pimin、Pimax、Qimin、QimaxRespectively save
The active power output of point i photovoltaic panel and the upper and lower limit of idle power output；SijThe trend of route ij, S are flowed through when grid-connected for power distribution networkijmax
The maximum power allowed to flow through for route ij；UiFor the voltage magnitude of node i photovoltaic panel, UiminAnd UimaxRespectively indicate node i light
Lie prostrate the bound of plate voltage magnitude；
(B6), the grid-connected day of photovoltaic DC field is calculated according to formula (4) according to the constraint condition of energy-storage units optimization aim
Average grid-connected power SPV, maximum grid-connected power SP of the grid-connected day of photovoltaic DC fieldVmax, the grid-connected power of minimum of grid-connected day of photovoltaic DC field
SPVmin,
Wherein, V=24 hours, PVIt (t) is the grid-connected realtime power of photovoltaic DC field；
△ S is material calculation, the total capacity E of the energy-storage units in photovoltaic DC fieldScn, the maximum of the energy-storage units in photovoltaic DC field
Charge power PScn, as shown in formula (5), (6),
PScn=SPVmax-SPdVmax (6)
Wherein, SPdVmaxFor the grid-connected power of maximum for the photovoltaic DC field that power distribution network allows；
Step (C), by the square distribution of blower in wind power plant, the inverter of wind power plant is located at the center of square；It will
The rounded distribution of photovoltaic panel in photovoltaic DC field, and the inverter in photovoltaic DC field is located at round the center point.
2. the capacity configuration optimizing method that a kind of wind power plant according to claim 1 and photovoltaic DC field generate electricity by way of merging two or more grid systems, special
Sign is: being by latitude and longitude information knot according to wind power plant, the latitude and longitude information of photovoltaic DC field infield in step (A1)
The meteorological data at this is closed, solar irradiance mean value, the wind speed mean value of each moon in installation the first two years are obtained.
3. the capacity configuration optimizing method that a kind of wind power plant according to claim 1 and photovoltaic DC field generate electricity by way of merging two or more grid systems, special
Sign is: in step (A3), the power distribution network LOLP based on sequence operation theory seeks function, and specific calculating process is as follows,
(A31), photovoltaic panel in the blower and photovoltaic DC field in all wind power plants is unified for generation assets, by each generation assets according to
It is secondary to be arranged in supply-demand mode ordered set Q；
(A32), the average size common factor Δ C of wind power plant and photovoltaic DC field installation arrangement capacity is determined；
(A33), the initial residual nargin probability distribution of each generation assets and the initial residual nargin probability distribution of each demand are determined；
(A34), judge whether ordered set Q is empty, if so, showing that supply and demand has balanced at this time, is executed (A36)；Otherwise, it executes
(A35)；
(A35), first element for working as poset Q is taken out, the corresponding generation assets of the element is enabled once to be supplied with demand
Amendment need to be balanced, the initial residual nargin of the initial residual nargin probability distribution and each demand of correcting each generation assets at this time is general
After rate distribution, the element is deleted from as poset Q, and repeat (A34)；
(A36), according to the corresponding initial residual nargin probability distribution of each demand at this time, power distribution network LOLP, such as formula is calculated
It is (7) as follows,
Wherein, N is the quantity of demand, and n is n-th of demand, LOLPnFor the load-loss probability of n-th of demand, PRn(0) it is n-th
The initial residual nargin probability distribution of demand.
4. the capacity configuration optimizing method that a kind of wind power plant according to claim 1 and photovoltaic DC field generate electricity by way of merging two or more grid systems, special
Sign is: in step (A4), meanwhile, roulette selection, multiple point crossover and multiple spot variation are taken, the optimal solution of formula (1) is obtained
Decision variable WFS。
5. the capacity configuration optimizing method that a kind of wind power plant according to claim 1 and photovoltaic DC field generate electricity by way of merging two or more grid systems, special
Sign is: in step (B1), the low-pass filter is five rank Butterworth active low-pass filters.
6. the capacity configuration optimizing method that a kind of wind power plant according to claim 1 and photovoltaic DC field generate electricity by way of merging two or more grid systems, special
Sign is: in step (B3), on the basis of ensuring to export target power, reducing the charge and discharge number of each battery group, prolongs
Long life completes distributing rationally for wind farm energy storage capacity, need to meet the energy-storage units output power Pb of wind power plant with
The output power reference value of wind power plant remains 1:4, and the energy storage time of each battery group is 5 hours.
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