CN109193748A - A kind of evaluation method and calculating equipment of photovoltaic digestion capability - Google Patents
A kind of evaluation method and calculating equipment of photovoltaic digestion capability Download PDFInfo
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Abstract
The invention discloses a kind of evaluation methods of photovoltaic digestion capability, comprising: establishes photovoltaic digestion capability Optimized model, photovoltaic digestion capability Optimized model includes realizing to abandon the smallest first object function of light rate and realization maximum second objective function of photovoltaic investment return；Corresponding optimization constraint condition is constructed to photovoltaic digestion capability Optimized model, and photovoltaic digestion capability Optimized model is solved by optimization constraint condition, to optimize photovoltaic digestion capability；The assessment indicator system of photovoltaic digestion capability is constructed, assessment indicator system includes one or more evaluation indexes；The one or more evaluation indexes for being used for weight calculation are chosen from assessment indicator system, according to Objective Weighting, determine the comprehensive weight of selected each evaluation index；In conjunction with the comprehensive weight for the evaluation index respectively selected, evaluation analysis is carried out to the photovoltaic digestion capability after optimization.
Description
Technical field
The present invention relates to electricity power field, in particular to the evaluation method and calculating equipment of a kind of photovoltaic digestion capability.
Background technique
Renewable Energy Development is core content and the important channel of China's Energy restructuring, and photovoltaic energy is as one
The very important renewable energy of kind, development speed drive the gradually growth of Photovoltaic generation installed capacity.It can be again according to country
Raw energy centre message, in January, 2017 to June, newly-increased 17,000,000 kilowatts or so of the installation of photovoltaic plant, distributed photovoltaic are newly-increased
7000000 kilowatts, increase nearly 3 times of scale newly for the same period in 2016, it is contemplated that distributed photovoltaic power generation will keep faster speedup.
In the prior art, China's distributed photovoltaic area consumption off-capacity, generated output fluctuation are strong etc..In order to solve
The above problem needs first to evaluate photovoltaic digestion capability, then based on evaluation result come to influence photovoltaic consumption factor into
Row adjustment or constraint.However, the evaluation method of existing photovoltaic digestion capability is mostly to utilize characterization distributed photovoltaic consumption situation
Index to be combined analysis, and then evaluate based on the analysis results.Although evaluation result has certain property of can refer to,
Since the index used is excessively many and diverse, it is difficult to determine prevailing index, and evaluation model is relatively simple, lead to final light
The evaluation for lying prostrate digestion capability is not accurate enough and objective.
For example, in the prior art, CN105514992A discloses the optimization of the rack photovoltaic digestion capability based on trend constraint
Method, maximizes distributed photovoltaic installed capacity in the case where meeting various constraint conditions, constraint condition consider it is simple, without reference to point
The permeability of cloth photovoltaic, photovoltaic go out the factors such as power limit, photovoltaic digestion capability optimization inaccuracy.
Prior art CN108233416A discloses a kind of power distribution network monochromatic light volt digestion capability for considering voltage limit risk
Appraisal procedure, the Optimized model and comprehensive evaluation model of building, two aspect models together constitute the evaluation of photovoltaic digestion capability
Method is not related to parameter information, photovoltaic digestion capability optimization inaccuracy.
Summary of the invention
For this purpose, the present invention provides a kind of technical solution of the evaluation of photovoltaic digestion capability, to try hard to solve or at least delay
Solution above there are the problem of.
In order to solve the above technical problems, the technical solution adopted by the present invention are as follows:
A kind of evaluation method of photovoltaic digestion capability, suitable for being executed in calculating equipment, specifically includes the following steps:
According to the photovoltaic digestion capability Optimized model and optimization constraint condition constructed in advance, optimize photovoltaic digestion capability；
The one or more evaluation indexes for being used for weight calculation are chosen from the assessment indicator system constructed in advance, based on visitor
Tax power method is seen, determines the comprehensive weight of selected evaluation index；
Comprehensive weight based on evaluation index carries out evaluation analysis to the photovoltaic digestion capability after optimization；
The photovoltaic digestion capability Optimized model includes realizing to abandon the smallest first object function of light rate and realize that photovoltaic is thrown
Provide the second objective function of Income Maximum；
The optimization constraint condition is constructed based on photovoltaic digestion capability Optimized model, and for constraining item by the optimization
Part solves the photovoltaic digestion capability Optimized model, to optimize photovoltaic digestion capability.
First object function is formula (1):
P′i,t=Pij,t+Li,t (2)
s.t.P′i,t≤Pi,t (3)
Wherein, min expression is minimized, Pi,tFor the distributed photovoltaic at node i t moment theoretical generated output,
P′i,tActual generation power for the distributed photovoltaic at node i in t moment, Pij,tIt is the distributed photovoltaic at node i in t
Carve the power transmitted to node j, Li,tIt is node i in the load value of t moment, T is time interval maximum value, and I is corresponding for node i
Node total number, J be the corresponding node total number of node j；
Second objective function is formula (4):
Wherein, psellFor the rate for incorporation into the power network of distributed photovoltaic, P 'i,tFor the distributed photovoltaic at node i t moment reality
Border generated output, pbuyFor the sales rate of electricity of power grid, Li,tLoad value for node i in t moment, psubFor family distributed photovoltaic
Full current intensity electricity subsidy, ctotal,iFor whole construction costs of distributed photovoltaic at node i, d indicates money rate, and n indicates to divide
The operation time limit of cloth photovoltaic, cop,iFor the O&M cost of distributed photovoltaic unit generated energy at node i, T be time interval most
Big value, I are the corresponding node total number of node i.
Optimization constraint condition includes distributed photovoltaic number constraint, power-balance constraint, voltage constraint, branch current constraint
With photovoltaic power output restriction.
Distributed photovoltaic number constraint is formula (5):
Wherein, ωjIt is the 0-1 variable for stating distributed generation resource grid connection state, if ωj=1, show that node j is distributed
Formula photovoltaic access, if ωj=0, show that node j distribution-free formula photovoltaic accesses,For the distributed generation resource upper limit that system can accommodate,
J is the corresponding node total number of node j；
The power-balance constraint is formula (6):
P0i,t+P′i,t+Pki,t-Pij,t=Li,t (6)
Wherein, P0i,tFor the power that major network is conveyed in t moment to node i, P 'i,tIt is the distributed photovoltaic at node i in t
The actual generation power at moment, Pki,tFor the power that node k is conveyed in t moment to node i, Pij,tFor the distributed light at node i
Lie prostrate the power transmitted in t moment to node j, Li,tFor node i t moment load value；
Voltage is constrained to formula (7):
Vmin≤Vj≤Vmax (7)
Wherein, Vmin、VmaxThe respectively lower and upper limit of node j voltage, VjIndicate the real-time voltage of node j；
Branch current is constrained to formula (8):
-Iij,max≤Iij,t≤Iij,max (9)
Wherein, Iij,tIndicate the real-time current of branch ij, Vi,tIt is voltage of the node i in t moment, Vj,tIt is node j in t
The voltage at quarter, ZijIt is the impedance of branch ij, Iij,maxIt is the upper current limit of branch ij；
Photovoltaic contributes restriction as formula (10):
Pi,min≤Pi,t≤Pi,max (10)
Wherein, Pi,min、Pi,maxThe lower and upper limit that distributed photovoltaic is contributed respectively at node i, Pi,tAt node i
Theoretical generated output of the distributed photovoltaic in t moment.
Evaluation index includes first class index, two-level index and three-level index.
Construct photovoltaic digestion capability assessment indicator system specifically includes the following steps:
Planning, grid-connected and three levels of economy based on distributed photovoltaic, carry out the division of first class index；
To each first class index, the level according to belonging to first class index is classified, and includes to construct first class index
Two-level index；
Specific targets are chosen as corresponding three-level index based on two-level index, form the evaluation index of photovoltaic digestion capability
System.
Objective Weighting includes entropy assessment and Variance Coefficient Weighting method.
Based on Objective Weighting, determine the comprehensive weight of selected each evaluation index specifically includes the following steps:
The first weight of each evaluation index selected is solved with entropy assessment；
The second weight of selected each evaluation index is solved with Variance Coefficient Weighting method；
First weight of the evaluation index selected and the second weight are combined, to calculate comprehensive weight.
Solve the first weight of each evaluation index selected with entropy assessment specifically includes the following steps:
The trend changed by analyzing selected each evaluation index, selected each evaluation index is determined based on comentropy
Entropy；
It is full that evaluation index is obtained based on the entropy of entropy weight processing amendment evaluation index to each evaluation index selected
First weight of sufficient objectivity.
The second weight of selected each evaluation index is solved with Variance Coefficient Weighting method specifically includes the following steps:
Obtain the selected corresponding mean square deviation of each evaluation index and mean value；
To each evaluation index selected, it regard the ratio between the corresponding mean square deviation of evaluation index and mean value as the coefficient of variation；
The quotient for calculating the sum of the coefficient of variation of any one evaluation index and the coefficient of variation of whole evaluation indexes, using quotient as
Second weight of the evaluation index.
In conjunction with the comprehensive weight for the evaluation index respectively selected, the step of evaluation analysis is carried out to the photovoltaic digestion capability after optimization
Suddenly include:
Preset one or more scheme to be evaluated is obtained, each scheme to be evaluated includes one or more evaluations selected
Index；
According to the comprehensive weight for the evaluation index respectively selected, the corresponding positive ill ideal solution of each scheme to be evaluated is determined
Between grey relational grade；
To each scheme to be evaluated, itself and corresponding positive and negative reason are calculated by the corresponding grey relational grade of the scheme to be evaluated
Think the relative similarity degree of scheme；
The selection maximum scheme to be evaluated of relative similarity degree is optimal case, is optimized based on the optimal case evaluation analysis
Photovoltaic digestion capability afterwards.
A kind of calculating equipment, including one or more processors, memory and one or more program, one of them or
Multiple programs store in the memory and are configured as being executed by one or more of processors, one or more of
Program includes the instruction for executing the evaluation method of photovoltaic digestion capability according to the present invention.
A kind of computer readable storage medium storing one or more programs, one or more of programs include referring to
Enable, described instruction when executed by a computing apparatus so that calculating equipment executes the evaluation of photovoltaic digestion capability according to the present invention
Method.
Beneficial effect of the present invention includes:
The present invention discloses a kind of evaluation method of photovoltaic digestion capability, first establishes photovoltaic digestion capability Optimized model, construction
Its corresponding optimization constraint condition solves the photovoltaic digestion capability Optimized model, to optimize photovoltaic digestion capability, then constructs light
The assessment indicator system of digestion capability is lied prostrate, one or more evaluation indexes are therefrom chosen and determines its comprehensive weight, in conjunction with each choosing
The comprehensive weight of evaluation index out carries out evaluation analysis to the photovoltaic digestion capability after optimization.In the above scheme, photovoltaic disappears
Ability Optimized model of receiving includes realizing to abandon the smallest first object function of light rate and realization maximum second mesh of photovoltaic investment return
Scalar functions, wherein the distributed photovoltaic consumption situation in area, and photovoltaic investment return can intuitively, clearly be reflected by abandoning light rate
Photovoltaic is characterized as capability of sustainable development bring economic benefit, optimizes light jointly by calculating the optimal value of the two
Lie prostrate digestion capability.After building assessment indicator system, it is contemplated that assessment indicator system have multi-level, quantitative target with it is qualitative
Index, which combines, photovoltaic dissolves situation and its element boundary has grey majorized model with ambiguity, influence factor and statistical data
Characteristic determines selected each in such a way that entropy assessment and Variance Coefficient Weighting method both Objective Weightings combine
The comprehensive weight of evaluation index, to make up the deficiency in conventional tax power processing, to be assigned for evaluation indexes at different levels scientific and reasonable
Weight so that more accurate and reliable in conjunction with the photovoltaic digestion capability evaluation result that obtains of each comprehensive weight analysis.
The ability that the present invention is not intended to consumption distributed photovoltaic electricity in view of installed capacity increase increases, therefore the present invention
Light rate is abandoned as optimization aim to minimize in Optimized model part, and the investment return to maximize distributed photovoltaic is as excellent
Another target changed, meet power-balance, voltage and current restriction while, it is also contemplated that the infiltration of distributed photovoltaic
Rate, photovoltaic power output limiting factor, more fully, the evaluation of photovoltaic digestion capability is accurate for Consideration.
The application simulates load and photovoltaic power output, passes through meter by all aspects of the parameters information of collection power distribution network
Voltage limit risk value is calculated to characterize the photovoltaic digestion capability of power distribution network, the evaluation of photovoltaic digestion capability is accurate.
Detailed description of the invention
To the accomplishment of the foregoing and related purposes, certain illustrative sides are described herein in conjunction with following description and drawings
Face, these aspects indicate the various modes that can practice principles disclosed herein, and all aspects and its equivalent aspect
It is intended to fall in the range of theme claimed.Read following detailed description in conjunction with the accompanying drawings, the disclosure it is above-mentioned
And other purposes, feature and advantage will be apparent.Throughout the disclosure, identical appended drawing reference generally refers to identical
Component or element.
Fig. 1 shows the structural block diagram according to an embodiment of the invention for calculating equipment 100；
Fig. 2 shows the flow charts of the evaluation method 200 of photovoltaic digestion capability according to an embodiment of the invention.
Specific embodiment
Exemplary embodiments of the present disclosure are described in more detail below with reference to accompanying drawings.Although showing the disclosure in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
It is fully disclosed to those skilled in the art.
Fig. 1 is the block diagram of Example Computing Device 100.In basic configuration 102, calculating equipment 100, which typically comprises, is
System memory 106 and one or more processor 104.Memory bus 108 can be used for storing in processor 104 and system
Communication between device 106.
Depending on desired configuration, processor 104 can be any kind of processing, including but not limited to: microprocessor
(μ P), microcontroller (μ C), digital information processor (DSP) or any combination of them.Processor 104 may include such as
The cache of one or more rank of on-chip cache 110 and second level cache 112 etc, processor core
114 and register 116.Exemplary processor core 114 may include arithmetic and logical unit (ALU), floating-point unit (FPU),
Digital signal processing core (DSP core) or any combination of them.Exemplary Memory Controller 118 can be with processor
104 are used together, or in some implementations, and Memory Controller 118 can be an interior section of processor 104.
Depending on desired configuration, system storage 106 is any type of memory, including but not limited to: volatibility
Memory (RAM), nonvolatile memory (ROM, flash memory etc.) or any combination of them.System storage
106 may include operating system 120, one or more program 122 and program data 124.In some embodiments, journey
Sequence 122 may be arranged to be executed instruction by one or more processors 104 using program data 124 on an operating system.
Calculating equipment 100 further includes facilitating from various interface equipments (for example, output equipment 142,144 and of peripheral interface
Communication equipment 146) basic configuration 102 is arrived via the interface bus 140 of the communication of bus/interface controller 130.Exemplary output
Equipment 142 includes graphics processing unit 148 and audio treatment unit 150.They can be configured as facilitate via one or
The multiple ports A/V 152 of person are communicated with the various external equipments of such as display or loudspeaker etc.Exemplary peripheral interface
144 include serial interface controller 154 and parallel interface controller 156, they can be configured as facilitate via one or
The multiple ports I/O 158 of person and such as input equipment (for example, keyboard, mouse, pen, voice-input device, touch input device) or
The external equipment of other peripheral hardwares (such as printer, scanner etc.) of person etc communicates.Exemplary communication equipment 146 can wrap
Network controller 160 is included, can be arranged to convenient for via one or more communication port 164 and one or more its
He calculates communication of the equipment 162 by network communication link.
Calculating equipment 100 further includes storage equipment 132, and storage equipment includes removable memory 136 and non-removable deposits
Reservoir 138, storage equipment 132 are communicated by memory interface bus 134 with bus/interface controller 130.
Network communication link can be an example of communication media.Communication media be presented as such as carrier wave or other
Computer readable instructions, data structure and program module in the modulated data signal of transmission mechanism etc, and may include
Any information delivery media.The change of one or more or it in the data set of modulated data signal can be in the signal
The mode of encoded information carries out.As unrestricted example, communication media may include such as cable network or private wire network
It is each including the wired medium of network etc, and such as sound, radio frequency (RF), microwave, infrared (IR) or other wireless mediums
Kind wireless medium.Term computer-readable medium used herein may include both storage medium and communication media.
Calculating equipment 100 can be implemented as server, such as file server, database server, application program service
Device and WEB server etc. also can be implemented as a part of portable (or mobile) electronic equipment of small size, these electronic equipments
It can be such as cellular phone, personal digital assistant (PDA), personal media player device, wireless network browsing apparatus, individual
Helmet, application specific equipment or may include any of the above function mixing apparatus.Calculating equipment 100 can also be real
It is now the personal computer for including desktop computer and notebook computer configuration.
In the present embodiment, equipment 100 is calculated to be configured as executing the evaluation side of photovoltaic digestion capability according to the present invention
Method 200.Wherein, the one or more programs 122 for calculating equipment 100 include for executing photovoltaic digestion capability according to the present invention
Evaluation method 200 instruction.
The present invention also provides the embodiments of the evaluation method 200 of a photovoltaic digestion capability.The evaluation of photovoltaic digestion capability
Method 200 is suitable for executing in calculating equipment (such as calculating equipment 100 shown in FIG. 1).
A kind of evaluation method of photovoltaic digestion capability, suitable for being executed in calculating equipment, specifically includes the following steps:
According to the photovoltaic digestion capability Optimized model and optimization constraint condition constructed in advance, optimize photovoltaic digestion capability；
The one or more evaluation indexes for being used for weight calculation are chosen from the assessment indicator system constructed in advance, based on visitor
Tax power method is seen, determines the comprehensive weight of selected evaluation index；
Comprehensive weight based on evaluation index carries out evaluation analysis to the photovoltaic digestion capability after optimization；
The photovoltaic digestion capability Optimized model includes realizing to abandon the smallest first object function of light rate and realize that photovoltaic is thrown
Provide the second objective function of Income Maximum；
The optimization constraint condition is constructed based on photovoltaic digestion capability Optimized model, and for constraining item by the optimization
Part solves the photovoltaic digestion capability Optimized model, to optimize photovoltaic digestion capability.
As shown in Fig. 2, the flow chart of the evaluation method 200 for the photovoltaic digestion capability in one embodiment of the invention, side
Method 200 starts from step S210, in step S210, establishes photovoltaic digestion capability Optimized model, and contain in the next steps
Constitution optimization constraint condition, the content for constructing assessment indicator system, it should be appreciated that in other embodiments, light of the invention
The evaluation method for lying prostrate digestion capability can be based on photovoltaic digestion capability Optimized model, the optimization constraint item for pre-establishing or building
Part and assessment indicator system carry out evaluation analysis to photovoltaic digestion capability.In the present embodiment, the optimization of photovoltaic digestion capability is being established
When model, not only to consider that the digestion capability of poverty alleviation Area distribution formula photovoltaic can be evaluated in the model, also to guarantee distributed photovoltaic
The main task of poverty alleviation, therefore photovoltaic digestion capability Optimized model includes that there are two objective functions, is first simply denoted as first here
Objective function and the second objective function.
On the one hand index for characterizing distributed photovoltaic digestion capability will can be used for measuring electric system to distributed light
The maximum consumption space of volt, on the other hand will can be used for measuring distributed photovoltaic power generation in electric system balance of electric power and ener
Contribution and practical efficiency.The index of characterization distributed photovoltaic consumption situation includes abandoning light rate, capacity permeability, penetrating function at present
The rate limit and confidence capacity etc..
(1) light rate is abandoned
Abandon light be work as distributed photovoltaic generated energy be more than electric system maximum transmitted electricity and load can dissolve electricity it
With when occur the phenomenon that.Distributed photovoltaic power generation meets the principle of priority scheduling in the power system, but when system adjust with it is defeated
It just will appear abandoning optical phenomenon when electric scarce capacity.The electric rate of the abandoning of distributed photovoltaic is the distributed photovoltaic electricity actually dissolved and divides
Ratio between cloth photovoltaic power generation quantity.
(2) permeability
The annual maximum hour generated energy of distributed photovoltaic capacity permeability, that is, distributed photovoltaic power and system loading are annual
The percentage of maximum hour electricity consumption.After distributed photovoltaic system grid connection, it is contemplated that the unadjustable property of photovoltaic power generation usually will
It is considered as a kind of special load, and traditional load subtracts the net load that the load is system.For convention, distributed photovoltaic
Capacity permeability answer that the higher the better, show to make full use of renewable energy, realize renewable energy power generation to traditional fire
The substitution effect of power power generation.However, influence of the photovoltaic power generation to system net load is gradually with the increase of photovoltaic capacity permeability
Enhancing.Due to the randomness and fluctuation of photovoltaic power generation, a large amount of distributed photovoltaic power grids not only will increase the wave of net load
Dynamic range, can also reduce the accuracy of load prediction, and the fluctuation of net load is made to have biggish uncertainty.
(3) penetration
Distributed photovoltaic power generation penetration refers to that distributed photovoltaic installed capacity in system accounts for the ratio of system total load
Example.The increase that distributed photovoltaic penetrates power brings series of challenges to the control of existing power grid and distributed photovoltaic, penetrates
Power is bigger, challenges bigger.Voltage control and electricity especially in the weak power grid such as rural area, when distributed photovoltaic high density accesses
Energy quality problems merit attention.
(4) confidence capacity
The confidence capacity of photovoltaic power generation can reflect its capacity value, for quantifying photovoltaic power generation to electric system abundant intensity
Contribution.In balance of electric power and ener, the capacity value performance of power supply is can be by the capacity of credit, i.e., confidence capacity or capacity can
Reliability.Matching degree between network load and photovoltaic power generation power output, i.e. correlation are the weights for influencing photovoltaic power generation confidence capacity
Want factor.Dispersed distribution of multiple photovoltaic plants on geographical location, the fluctuation that can improve gross capability on different time scales are special
Property, as can according to the correlation between photovoltaic plant, reasonable inclination angle, direction and the site etc. of the selection array of science can also be
Improve the correlation between network load and photovoltaic power generation gross capability to a certain extent, and then the confidence for improving photovoltaic power generation is held
Amount.
It can intuitively, clearly reflect that photovoltaic poverty alleviation Area distribution formula photovoltaic dissolves situation in view of light rate is abandoned, then to abandon light
Evaluation index of the rate as distributed photovoltaic digestion capability, building, which is realized, abandons the smallest first object function of light rate, according to this hair
Bright one embodiment, first object function are determined with formula (1):
P′i,t=Pij,t+Li,t (2)
s.t.P′i,t≤Pi,t (3)
Wherein, min expression is minimized, Pi,tFor the distributed photovoltaic at node i t moment theoretical generated output,
P′i,tActual generation power for the distributed photovoltaic at node i in t moment, Pij,tIt is the distributed photovoltaic at node i in t
Carve the power transmitted to node j, Li,tIt is node i in the load value of t moment, T is time interval maximum value, and I is corresponding for node i
Node total number, J be the corresponding node total number of node j.
It is maximum that the main task of distributed photovoltaic poverty alleviation as makes photovoltaic investment return as far as possible, and construction cost should share
It is disposably paid in each year rather than construction period First Year, while being considered as time value on assets, realize that photovoltaic is thrown with building
Provide the second objective function of Income Maximum.According to one embodiment of present invention, the second objective function is determined with formula (4):
Wherein, psellFor the rate for incorporation into the power network of distributed photovoltaic, P 'i,tFor the distributed photovoltaic at node i t moment reality
Border generated output, pbuyFor the sales rate of electricity of power grid, Li,tLoad value for node i in t moment, psubFor family distributed photovoltaic
Full current intensity electricity subsidy, ctotal,iFor whole construction costs of distributed photovoltaic at node i, d indicates money rate, and n indicates to divide
The operation time limit of cloth photovoltaic, cop,iFor the O&M cost of distributed photovoltaic unit generated energy at node i, T be time interval most
Big value, I are the corresponding node total number of node i.
Then, S220 is entered step, corresponding optimization constraint condition is constructed to photovoltaic digestion capability Optimized model, and pass through
Optimize constraint condition and solve photovoltaic digestion capability Optimized model, to optimize photovoltaic digestion capability.An implementation according to the present invention
Example, optimization constraint condition include distributed photovoltaic number constraint, power-balance constraint, voltage constraint, branch current constraint and light
Volt power output restriction.
Since distributed photovoltaic power output is run without the concern for system, scheduled is not constrained, but country or grid company pair
There is constraint in permeability of the distributed generation resource in power distribution network, thus there is a requirement that number of units of the distributed photovoltaic in power distribution network
No more than the upper limit, then in this embodiment, distributed photovoltaic number constraint is determined with following formula:
Wherein, ωjIt is the 0-1 variable for stating distributed generation resource grid connection state, if ωj=1, show that node j is distributed
Formula photovoltaic access, if ωj=0, show that node j distribution-free formula photovoltaic accesses,For the distributed generation resource upper limit that system can accommodate,
J is the corresponding node total number of node j.
Power-balance constraint is determined with following formula:
P0i,t+P′i,t+Pki,t-Pij,t=Li,t (6)
Wherein, P0i,tFor the power that major network is conveyed in t moment to node i, P 'i,tIt is the distributed photovoltaic at node i in t
The actual generation power at moment, Pki,tFor the power that node k is conveyed in t moment to node i, Pij,tFor the distributed light at node i
Lie prostrate the power transmitted in t moment to node j, Li,tFor node i t moment load value.
Voltage constraint constraint is determined with following formula:
Vmin≤Vj≤Vmax (7)
Wherein, Vmin、VmaxThe respectively lower and upper limit of node j voltage, VjIndicate the real-time voltage of node j.
Branch current constraint is determined with following formula:
-Iij,max≤Iij,t≤Iij,max (9)
Wherein, Iij,tIndicate the real-time current of branch ij, Vi,tIt is voltage of the node i in t moment, Vj,tIt is node j in t
The voltage at quarter, ZijIt is the impedance of branch ij, Iij,maxIt is the upper current limit of branch ij.
Photovoltaic power output restriction is determined with following formula:
Pi,min≤Pi,t≤Pi,max (10)
Wherein, Pi,min、Pi,maxThe lower and upper limit that distributed photovoltaic is contributed respectively at node i, Pi,tAt node i
Theoretical generated output of the distributed photovoltaic in t moment.
The photovoltaic digestion capability of formula (1)~(4) characterization is solved based on the optimization constraint condition that formula (5)~(10) symbolize
Optimized model, to optimize photovoltaic digestion capability.Next, constructing the evaluation index body of photovoltaic digestion capability in step S230
System, the assessment indicator system include one or more evaluation indexes.Wherein, evaluation index includes first class index, two-level index
With three-level index.According to one embodiment of present invention, the evaluation index body of photovoltaic digestion capability can be constructed in the following way
System.Firstly, the division of first class index is carried out, to each according to the planning of distributed photovoltaic, grid-connected and three levels of economy
A first class index classifies to it according to level belonging to the first class index, is referred to constructing the second level that the first class index includes
Mark, then specific targets are chosen as its corresponding three-level index, to form the evaluation of photovoltaic digestion capability based on each two-level index
Index system.
In this embodiment, the selection of evaluation index is specific as follows with reference to following five principles:
(1) correlation and representativeness principle
Correlation refers to that the evaluation index of selection will be with research object with being centainly associated with, i.e., be with new energy priority scheduling
It evaluates related.Representativeness refer to the index of selection need to embody or image study object certain aspect feature, it can represent green
The influence factor of color certificate trade market efficiency.The index of selection will not only have correlation, but also representative, and the two lacks one not
It can.
(2) combination of qualitative and quantitative analysis principle
Qualitative principle, which refers to, to fix limit, and quantitative principle, which refers to, will obtain exact result.If only boundary does not have
Specific data can not then judge development trend；If only data do not have boundary, without legal.
New energy consumption is in index for selection it is noted that qualitative and quantitative combines, so that evaluation result is with horizontal and vertical
Comparativity.The index of selection will cover as much as possible and practical reaction and new energy dissolve related content.
(3) accessibility and feasibility principle
Required data will be easy to obtain and have stability as far as possible in the index of selection, not will receive accidental thing
The interference of part so can just be further ensured that the feasibility and stability of assessment indicator system.
(4) comprehensive principle
One perfect index system is necessarily comprehensive, can complete all thickly image study objects.However comprehensively simultaneously
It is not meant to all look after various aspects, but will be on the basis of holding major premise, extracting influences research object
Main aspect, and find out the key factor for influencing various aspects.
(5) practical succinct principle
One valuable and practical assessment indicator system must be it is succinct easy-operating, held conversely, people will be unfavorable for
Row and use, analysis are got up also more complicated.Therefore, entire index system is abundant on the basis of above four principles
Consider the practical terseness of index system.
Planning, grid-connected and three level choosings of economy based on above-mentioned five selecting index principles, from distributed photovoltaic
The evaluation index (be manually entered or evaluation index is selected based on computer program) for influencing distributed photovoltaic consumption is taken, it is final to obtain
To first class index 3, two-level index 6 and three-level index 22.
Table 1 shows the example of the assessment indicator system of photovoltaic digestion capability according to an embodiment of the invention, tool
Body is as follows:
The assessment indicator system of the photovoltaic digestion capability of 1 one embodiment of table
As shown in table 1, first class index includes planning index, grid-connected index and economic index these three indexs.To planning
For index, which includes two two-level index, is that planning electricity index and resource characteristics index, each second level refer to respectively
It is as follows to mark included three-level index and index meaning and calculation method:
1) electricity index are planned
1. distributed photovoltaic installed capacity
Distributed photovoltaic installed capacity refers to, on ground or utilizes the unregulated powers such as agricultural greenhouse consumption Facilities Construction, with 35,000
Volt and following voltage class access power grid (66 kilovolts of the Northeast and following), single project capacity are no more than 20,000 kilowatts and institute
Generated energy mainly becomes the project of the photovoltaic plant of radio area consumption, the rated active power of actual installation generating set in grid entry point
Summation.
2. Transmission Corridor capacity
Refer to the maximum power that power grid receives the distributed photovoltaic amount of generating electricity by way of merging two or more grid systems to convey under normal circumstances.
3. distributed photovoltaic power generation amount
Refer to the electricity of distributed photovoltaic power generation unit output.
2) resource characteristics index
1. averagely intensity of sunshine
Refer to the average intensity of sunshine in assessment area.
2. averagely sunshine power density
Refer to the average sunshine power density in assessment area.
3. effective sunshine hourage
Refer to the effective sunshine hourage in assessment area.
For grid-connected index, it is that power quality index and operation refer to respectively which, which includes two two-level index,
Mark, the three-level index and index meaning and calculation method that each two-level index is included are as follows:
1) power quality index
1. voltage deviation rate
Under normal operation, the virtual voltage at a certain node moment and the difference of nominal voltage of a system are to system for power supply system
The percentage of nominal voltage is known as the voltage deviation rate of the node, it may be assumed that
Voltage deviation amount=(virtual voltage-nominal voltage of a system)/nominal voltage of a system × 100% (11)
2. frequency departure
Frequency departure is the difference of system frequency actual value and its rated value under nominal situation, it may be assumed that
Frequency departure=frequency actual value-frequency rated value (12)
3. tri-phase unbalance factor
According to symmetrical component method, it is logical and zero that any electricity in three-phase system can be broken into positive-sequence component, negative phase-sequence point
Three symmetrical components of order components.The degree of asymmetry or degree of unbalancedness ε of electricityUIt may be defined as: under system nominal situation, electricity
Negative sequence component root-mean-square value U2With positive-sequence component root-mean-square value U1The ratio between generally indicated with percentage, it may be assumed that
2) operating index
1. the distributed photovoltaic amount of generating electricity by way of merging two or more grid systems
Refer to the electricity that the distributed photovoltaic power generation equipment all to work accesses power grid and powers to power grid.
The availability 2. distributed photovoltaic is averaged
Single device annual availability calculation formula is as follows:
Year availability=(1- disorderly closedown hourage/8760) × 100% (14)
3. distributed photovoltaic fault time
The time of the generator failure due to caused by the factors such as long-time service, misoperation or external environment.
The loss 4. distributed photovoltaic is stopped transport
When carrying out energy loss statistics, it is first determined at the beginning of shutdown event and the end time, then find at this time
Between the resource situations such as intensity of sunshine in section, thus calculate the average value of power in 1 minute, be finally converted into charge value.Through
Multiple accumulation calculating is crossed, all charge values converted into of shutting down are accumulated together into the exactly photovoltaic power generation equipment during statistics
Energy loss.
5. abandoning light rate
Abandon the percentage that light rate refers to distributed photovoltaic abandoning optical quantum and theoretical power generation in measurement period.
6. distributed photovoltaic maximum output
The maximum output of same day distributed photovoltaic power generation.
7. distributed photovoltaic electric power accounts for load maximum ratio
Same day distributed photovoltaic power generation, which is contributed, accounts for the maximum ratio of load.
8. maximum (minimum) load
Maximum (minimum) load in same day somewhere.
For economic index, it is cost type index and income type respectively which, which includes two two-level index,
Index, the three-level index and index meaning and calculation method that each two-level index is included are as follows:
1) cost type index
1. distributed photovoltaic construction cost
Distributed photovoltaic construction cost is mainly by construction ancillary works expense, equipment and installing engineering expense, architectural engineering
Expense, project construction land used take and project construction management takes several parts and constitutes.
2. distributed photovoltaic O&M cost
Distributed photovoltaic O&M cost mainly includes depreciation of fixed assets expense, maintenance cost, insurance premium, fee of material, other expenses
With, interest expense.
2) income type index
1. distributed photovoltaic power selling income
Distributed photovoltaic power selling income refers mainly to distributed photovoltaic and fully surfs the Internet or generate power for their own use under remaining electricity online mode, electricity
It nets enterprise and purchases distributed photovoltaic power generation amount part by mark post rate for incorporation into the power network.
2. distributed photovoltaic subsidy revenue
Distributed photovoltaic subsidy revenue refers to the financial subsidies that distributed photovoltaic power generation amount is given by country or local government.
3. high price power purchase is avoided to take in
It avoids high price power purchase income from referring mainly to family distributed photovoltaic owner under remaining electricity online mode of generating power for their own use, passes through
The expenditure that the reduction of electric energy part is bought from sale of electricity company is avoided using distributed photovoltaic power generation amount.
After the building for completing assessment indicator system, in step S240, choose from the assessment indicator system for weighing
One or more evaluation indexes of re-computation determine the comprehensive weight of selected each evaluation index according to Objective Weighting.
Wherein, Objective Weighting includes entropy assessment and Variance Coefficient Weighting method.According to one embodiment of present invention, from evaluation index
5 three-level indexs under economic index are chosen in system to carry out weight calculation, can be specifically determined as follows selected
The comprehensive weight of each evaluation index out.Firstly, solving the first weight of selected each evaluation index with entropy assessment, then transport
The second weight that selected each evaluation index is solved with Variance Coefficient Weighting method, finally by the first of the evaluation index respectively selected
Weight and the second weight combine, to calculate corresponding comprehensive weight.
In this embodiment, when solving the first weight of selected each evaluation index with entropy assessment, pass through analysis
The trend that selected each evaluation index changes determines the entropy of selected each evaluation index based on comentropy, to what is selected
Each evaluation index is handled the entropy for correcting the evaluation index using entropy weight, meets objectivity to obtain the evaluation index
First weight.Specific solution procedure is as follows:
Record rmsFor the attribute value of s-th of evaluation index of m-th of scheme to be evaluated, then it is standardized according to the following formula
Change processing:
Wherein, M is the sum of scheme to be evaluated.
According to the definition of entropy, the entropy Q of s-th of evaluation index is calculatedmsAre as follows:
Wherein,
To the entropy weight w of s-th of evaluation indexsAre as follows:
Wherein, S is the sum of evaluation index.The entropy weight w obtained by formula (18)sIt is denoted as the of s-th of evaluation index
One weight.
Variance Coefficient Weighting method be according to each index all degree of variation sizes for being evaluated observation on object come
To its entitled method, the weight that the bigger index of difference results occupies in evaluation is bigger.Obviously, knot is weighed in the tax of this method
Fruit can embody the local difference for being evaluated object.The of selected each evaluation index is being solved with Variance Coefficient Weighting method
When two weights, the selected corresponding mean square deviation of each evaluation index and mean value are obtained, to each evaluation index selected, by this
The ratio between the corresponding mean square deviation of evaluation index and mean value are used as its coefficient of variation, and the coefficient of variation for calculating the evaluation index is commented with whole
The quotient of the sum of the coefficient of variation of valence index, using the quotient as the second weight of the evaluation index.Specific solution procedure is as follows:
To s-th of evaluation index, coefficient of variation EsAre as follows:
Wherein, σsFor the mean square deviation of s-th of evaluation index attribute value,For the mean value of s-th of evaluation index attribute value.
Second weight definition of evaluation index is that the coefficient of variation of the index accounts for the ratio of the sum of all index coefficient of variation,
Then the second weight of s-th of evaluation index are as follows:
It in turn, will the first weight that obtained from formula (18) and the second power obtained from formula (20) to each evaluation index
Heavy phase combines, and such as calculates comprehensive weight of the average value of the two as the evaluation index.
Finally, executing step S250, in conjunction with the comprehensive weight for the evaluation index respectively selected, energy is dissolved to the photovoltaic after optimization
Power carries out evaluation analysis.It according to one embodiment of present invention, can be in the following way to the photovoltaic digestion capability after optimization
Carry out evaluation analysis.Firstly, obtaining preset one or more scheme to be evaluated, each scheme to be evaluated includes one or more
The evaluation index selected determines that each scheme to be evaluated is corresponding just further according to the comprehensive weight for the evaluation index respectively selected
Grey relational grade between ill ideal solution passes through the corresponding grey correlation of the scheme to be evaluated to each scheme to be evaluated
Degree calculates the relative similarity degree of itself and corresponding positive ill ideal solution, and the selection maximum scheme to be evaluated of relative similarity degree is optimal side
Case, based on the photovoltaic digestion capability after optimal case evaluation analysis optimization.
It is found that scheme to be evaluated amounts to M in step S240, each scheme to be evaluated includes 5 under economic index
A three-level index, then to each scheme to be evaluated, according to the comprehensive weight of this 5 three-level indexs, determine each scheme to be evaluated with
Grey relational grade between its corresponding positive ill ideal solution.Concrete processing procedure is as follows:
For s-th of evaluation index, the positive ideal solution R in its positive ideal scheme is determined according to the following formulas +With negative ideal side
Minus ideal result in case
Wherein,WithIt respectively indicates with the maximum value and minimum value in interval range corresponding to parameter m.
Grey based on this, between the corresponding plus-minus ideal solutions of s-th of evaluation index in m-th of scheme to be evaluated
The degree of association can following formula indicate:
Wherein,WithRespectively indicate the maximum value and minimum value asked in bracket.For m
Grey relational grade between the corresponding positive ideal solution of s-th of evaluation index in a scheme to be evaluated,For m-th to
Grey relational grade between the corresponding minus ideal result of s-th of evaluation index in evaluation of programme,μ the present embodiment takes 0.5.
Then, the grey relational grade between the corresponding positive ill ideal solution of m-th of scheme to be evaluatedWithRespectively
Are as follows:
In turn, for m-th of scheme to be evaluated, the corresponding object to be evaluated of the scheme to be evaluated arrives positive ideal solution respectively
Euclidean space distanceWith the Euclidean space distance of minus ideal resultIt is as follows:
The processing of dimensionless mark is carried out to the corresponding European space distance of each scheme to be evaluated and grey relational grade, and is based on
This calculates relative similarity degree, then for m-th of scheme to be evaluated, relative similarity degree χmAre as follows:
Wherein,It is nondimensionalFor nothing
Dimensionγ1And γ2The present embodiment takes 0.5.
Relative similarity degree χmAs a dimensionless factor, the degree of closeness of scheme to be evaluated and ideal scheme is characterized,
Value is bigger, indicates that scheme is more excellent, conversely, then scheme is more bad.Therefore, relative similarity degree maximum is selected from M schemes to be evaluated
One be used as optimal case, evaluated based on the program optimization after photovoltaic digestion capability.
The evaluation method of existing photovoltaic digestion capability mostly be using characterization distributed photovoltaic consumption situation index come into
Row combinatory analysis, and then evaluate based on the analysis results, the index used is excessively many and diverse, it is difficult to determine prevailing finger
Mark, and evaluation model is relatively simple, causes the evaluation of final photovoltaic digestion capability not accurate enough and objective.Implement according to the present invention
The technical solution of the evaluation of the photovoltaic digestion capability of example, first establishes photovoltaic digestion capability Optimized model, constructs its corresponding optimization
Constraint condition solves the photovoltaic digestion capability Optimized model, to optimize photovoltaic digestion capability, then constructs photovoltaic digestion capability
Assessment indicator system therefrom chooses one or more evaluation indexes and determines its comprehensive weight, in conjunction with the evaluation index respectively selected
Comprehensive weight, to after optimization photovoltaic digestion capability carry out evaluation analysis.In the above scheme, photovoltaic digestion capability optimizes mould
Type includes realizing to abandon the smallest first object function of light rate and realization maximum second objective function of photovoltaic investment return, wherein
The distributed photovoltaic consumption situation in area can intuitively, clearly be reflected by abandoning light rate, and photovoltaic investment return characterizes photovoltaic work
For capability of sustainable development bring economic benefit, optimize photovoltaic digestion capability jointly by calculating the optimal value of the two.
After building assessment indicator system, it is contemplated that there is assessment indicator system multi-level, quantitative target to combine with qualitative index,
Photovoltaic dissolves the characteristic that situation and its element boundary have grey majorized model with ambiguity, influence factor and statistical data, using entropy
The mode that power method and Variance Coefficient Weighting method both Objective Weightings combine determines the comprehensive of selected each evaluation index
Weight is closed, to make up the deficiency in conventional tax power processing, so that scientific and reasonable weight is assigned for evaluation indexes at different levels, to make
Combine the photovoltaic digestion capability evaluation result that obtains of each comprehensive weight analysis more accurate and reliable.
In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that implementation of the invention
Example can be practiced without these specific details.In some instances, well known method, knot is not been shown in detail
Structure and technology, so as not to obscure the understanding of this specification.
Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of the various inventive aspects,
Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the disclosed method should not be interpreted as reflecting the following intention: i.e. required to protect
Shield the present invention claims than feature more features expressly recited in each claim.More precisely, as right is wanted
As asking book to reflect, inventive aspect is all features less than single embodiment disclosed above.Therefore, it then follows specific
Thus claims of embodiment are expressly incorporated in the specific embodiment, wherein each claim itself is as this
The separate embodiments of invention.
Those skilled in the art should understand that the module of the equipment in example disclosed herein or unit or groups
Between can be arranged in equipment as depicted in this embodiment, or alternatively can be positioned at and the equipment in the example
In different one or more equipment.Module in aforementioned exemplary can be combined into a module or furthermore be segmented into multiple
Submodule.
Those skilled in the art will understand that can be carried out adaptively to the module in the equipment in embodiment
Change and they are arranged in one or more devices different from this embodiment.It can be the module or list in embodiment
Be combined into one between module or unit or group between member or group, and furthermore they can be divided into multiple submodule or subelement or
Between subgroup.Other than such feature and/or at least some of process or unit exclude each other, it can use any
Combination is to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so disclosed
All process or units of what method or apparatus are combined.Unless expressly stated otherwise, this specification is (including adjoint power
Benefit require, abstract and attached drawing) disclosed in each feature can carry out generation with an alternative feature that provides the same, equivalent, or similar purpose
It replaces.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included certain features rather than other feature, but the combination of the feature of different embodiments mean it is of the invention
Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed
Meaning one of can in any combination mode come using.
In addition, be described as herein can be by the processor of computer system or by executing by some in the embodiment
The combination of method or method element that other devices of the function are implemented.Therefore, have for implementing the method or method
The processor of the necessary instruction of element forms the device for implementing this method or method element.In addition, Installation practice
Element described in this is the example of following device: the device be used for implement as in order to implement the purpose of the invention element performed by
Function.
Various technologies described herein are realized together in combination with hardware or software or their combination.To the present invention
Method and apparatus or the process and apparatus of the present invention some aspects or part can take insertion tangible media, such as it is soft
The form of program code (instructing) in disk, CD-ROM, hard disk drive or other any machine readable storage mediums,
Wherein when program is loaded into the machine of such as computer etc, and is executed by the machine, the machine becomes to practice this hair
Bright equipment.
In the case where program code executes on programmable computers, calculates equipment and generally comprise processor, processor
Readable storage medium (including volatile and non-volatile memory and or memory element), at least one input unit, and extremely
A few output device.Wherein, memory is configured for storage program code；Processor is configured for according to the memory
Instruction in the said program code of middle storage executes the evaluation method of photovoltaic digestion capability of the invention.
By way of example and not limitation, computer-readable medium includes computer storage media and communication media.It calculates
Machine readable medium includes computer storage media and communication media.Computer storage medium storage such as computer-readable instruction,
The information such as data structure, program module or other data.Communication media is generally modulated with carrier wave or other transmission mechanisms etc.
Data-signal processed passes to embody computer readable instructions, data structure, program module or other data including any information
Pass medium.Above any combination is also included within the scope of computer-readable medium.
As used in this, unless specifically stated, come using ordinal number " first ", " second ", " third " etc.
Description plain objects, which are merely representative of, is related to the different instances of similar object, and is not intended to imply that the object being described in this way must
Must have the time it is upper, spatially, sequence aspect or given sequence in any other manner.
Although the embodiment according to limited quantity describes the present invention, above description, the art are benefited from
It is interior it is clear for the skilled person that in the scope of the present invention thus described, it can be envisaged that other embodiments.Additionally, it should be noted that
Language used in this specification primarily to readable and introduction purpose and select, rather than in order to explain or limit
Determine subject of the present invention and selects.Therefore, without departing from the scope and spirit of the appended claims, for this
Many modifications and changes are obvious for the those of ordinary skill of technical field.For the scope of the present invention, to this
Invent done disclosure be it is illustrative and not restrictive, it is intended that the scope of the present invention be defined by the claims appended hereto.
Claims (13)
1. a kind of evaluation method of photovoltaic digestion capability, suitable for being executed in calculating equipment, which is characterized in that specifically include following
Step:
According to the photovoltaic digestion capability Optimized model and optimization constraint condition constructed in advance, optimize photovoltaic digestion capability；
The one or more evaluation indexes for being used for weight calculation are chosen from the assessment indicator system constructed in advance, are based on objective tax
Power method determines the comprehensive weight of selected evaluation index；
Comprehensive weight based on evaluation index carries out evaluation analysis to the photovoltaic digestion capability after optimization；
The photovoltaic digestion capability Optimized model includes realizing to abandon the smallest first object function of light rate and realize that photovoltaic investment is received
Maximum second objective function of benefit；
The optimization constraint condition is constructed based on photovoltaic digestion capability Optimized model, and for being asked by the optimization constraint condition
The photovoltaic digestion capability Optimized model is solved, to optimize photovoltaic digestion capability.
2. a kind of evaluation method of photovoltaic digestion capability according to claim 1, which is characterized in that
The first object function is formula (1):
P′i,t=Pij,t+Li,t (2)
s.t.P′i,t≤Pi,t (3)
Wherein, min expression is minimized, Pi,tTheoretical generated output for the distributed photovoltaic at node i in t moment, P 'i,tFor
Actual generation power of the distributed photovoltaic in t moment at node i, Pij,tFor the distributed photovoltaic at node i in t moment to section
The power of point j transmission, Li,tIt is node i in the load value of t moment, T is time interval maximum value, and I is the corresponding node of node i
Sum, J are the corresponding node total number of node j；
Second objective function is formula (4):
Wherein, psellFor the rate for incorporation into the power network of distributed photovoltaic, pbuyFor the sales rate of electricity of power grid, psubFor family distributed photovoltaic
Full current intensity electricity subsidy, ctotal,iFor whole construction costs of distributed photovoltaic at node i, d indicates money rate, and n indicates distribution
The operation time limit of formula photovoltaic, cop,iFor the O&M cost of distributed photovoltaic unit generated energy at node i, T is that time interval is maximum
Value, I are the corresponding node total number of node i.
3. a kind of evaluation method of photovoltaic digestion capability according to claim 1, which is characterized in that
The optimization constraint condition includes distributed photovoltaic number constraint, power-balance constraint, voltage constraint, branch current constraint
With photovoltaic power output restriction.
4. a kind of evaluation method of photovoltaic digestion capability according to claim 3, which is characterized in that
The distributed photovoltaic number constraint is formula (5):
Wherein, ωjIt is the 0-1 variable for stating distributed generation resource grid connection state, if ωj=1, show that node j is distributed formula light
Volt access, if ωj=0, show that node j distribution-free formula photovoltaic accesses,For the distributed generation resource upper limit that system can accommodate, J is
The corresponding node total number of node j；
The power-balance constraint is formula (6):
P0i,t+P′i,t+Pki,t-Pij,t=Li,t (6)
Wherein, P0i,tFor the power that major network is conveyed in t moment to node i, Pki,tThe function conveyed in t moment to node i for node k
Rate, Pij,tThe power transmitted in t moment to node j for the distributed photovoltaic at node i；
The voltage is constrained to formula (7):
Vmin≤Vj≤Vmax (7)
Wherein, Vmin、VmaxThe respectively lower and upper limit of node j voltage, VjIndicate the real-time voltage of node j；
The branch current is constrained to formula (8):
-Iij,max≤Iij,t≤Iij,max (9)
Wherein, Iij,tIndicate the real-time current of branch ij, Vi,tIt is voltage of the node i in t moment, Vj,tIt is node j in t moment
Voltage, ZijIt is the impedance of branch ij, Iij,maxIt is the upper current limit of branch ij；
The photovoltaic power output restriction is formula (10):
Pi,min≤Pi,t≤Pi,max (10)
Wherein, Pi,min、Pi,maxThe lower and upper limit that distributed photovoltaic is contributed respectively at node i, Pi,tFor the distribution at node i
Theoretical generated output of the formula photovoltaic in t moment.
5. a kind of evaluation method of photovoltaic digestion capability according to claim 1, which is characterized in that
The evaluation index includes first class index, two-level index and three-level index.
6. a kind of evaluation method of photovoltaic digestion capability according to claim 5, which is characterized in that
It is described building photovoltaic digestion capability assessment indicator system specifically includes the following steps:
Planning, grid-connected and three levels of economy based on distributed photovoltaic, carry out the division of first class index；
To each first class index, the level according to belonging to first class index is classified, to construct the second level that first class index includes
Index；
Specific targets are chosen as corresponding three-level index based on two-level index, form the evaluation index body of photovoltaic digestion capability
System.
7. a kind of evaluation method of photovoltaic digestion capability according to claim 1, which is characterized in that
The Objective Weighting includes entropy assessment and Variance Coefficient Weighting method.
8. a kind of evaluation method of photovoltaic digestion capability according to claim 7, which is characterized in that
It is described to be based on Objective Weighting, determine the comprehensive weight of selected each evaluation index specifically includes the following steps:
The first weight of each evaluation index selected is solved with entropy assessment；
The second weight of selected each evaluation index is solved with Variance Coefficient Weighting method；
First weight of the evaluation index selected and the second weight are combined, to calculate comprehensive weight.
9. a kind of evaluation method of photovoltaic digestion capability according to claim 8, which is characterized in that
It is described with entropy assessment solve the first weight of each evaluation index selected specifically includes the following steps:
The trend changed by analyzing selected each evaluation index, the entropy of selected each evaluation index is determined based on comentropy
Value；
Is obtained by evaluation index and is met visitor based on the entropy of entropy weight processing amendment evaluation index for each evaluation index selected
First weight of the property seen.
10. a kind of evaluation method of photovoltaic digestion capability according to claim 8, which is characterized in that
Second weight that selected each evaluation index is solved with Variance Coefficient Weighting method specifically includes the following steps:
Obtain the selected corresponding mean square deviation of each evaluation index and mean value；
To each evaluation index selected, it regard the ratio between the corresponding mean square deviation of evaluation index and mean value as the coefficient of variation；
The quotient for calculating the sum of the coefficient of variation of any one evaluation index and the coefficient of variation of whole evaluation indexes, comments quotient as this
Second weight of valence index.
11. a kind of evaluation method of photovoltaic digestion capability according to claim 1, which is characterized in that described based on evaluation
The comprehensive weight of index carries out evaluation analysis to photovoltaic digestion capability, and specific steps include:
Preset one or more scheme to be evaluated is obtained, each scheme to be evaluated includes that one or more evaluations selected refer to
Mark；
According to the comprehensive weight for the evaluation index respectively selected, determine between the corresponding positive ill ideal solution of each scheme to be evaluated
Grey relational grade；
To each scheme to be evaluated, itself and corresponding positive and negative ideal side are calculated by the corresponding grey relational grade of the scheme to be evaluated
The relative similarity degree of case；
The selection maximum scheme to be evaluated of relative similarity degree is optimal case, after optimal case evaluation analysis optimization
Photovoltaic digestion capability.
12. a kind of calculating equipment characterized by comprising
One or more processors, memory and one or more programs, wherein one or more programs are stored in described deposit
It in reservoir and is configured as being executed by one or more of processors, one or more of programs include for executing basis
The instruction of method either in method described in claim 1 to 11.
13. a kind of computer readable storage medium for storing one or more programs, which is characterized in that one or more of journeys
Sequence include instruction, described instruction when executed by a computing apparatus so that the calculatings equipment execution according to claim 1 to 11 institutes
Method either in the method stated.
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