CN110428168A - It is a kind of meter and energy storage multiple-energy-source distribution system coordinated scheduling integrated evaluating method - Google Patents
It is a kind of meter and energy storage multiple-energy-source distribution system coordinated scheduling integrated evaluating method Download PDFInfo
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Abstract
The invention discloses a kind of meter and the multiple-energy-source distribution system coordinated scheduling integrated evaluating methods of energy storage, evaluation method includes, pass through the economy of operation plan, the power distribution network coordinated scheduling comprehensive evaluation index library of the feature of environmental protection and reliability building meter and energy storage, according to the corresponding data information of index collection in established index storehouse, and data are pre-processed, significance level of the information to overall merit target according to the collected data, determine the weight of evaluation index, using fuzzy synthetic appraisement method to the economy of coordinated scheduling scheme, the feature of environmental protection and reliability complete overall merit, the present invention uses the combination weights method based on game theory, the subjective weight determined by analytic hierarchy process (AHP) is combined with the objective weight determined by entropy assessment, to obtain the comprehensive weight of renewable energy Yu energy storage coordinated scheduling evaluation index, it can be objective, entirely Face scientifically solves the problems, such as index weights, it is ensured that the result that it is evaluated is more accurate.
Description
Technical field
The present embodiments relate to power distribution system technology field more particularly to a kind of meter and the multiple-energy-source distribution systems of energy storage
Coordinated scheduling integrated evaluating method.
Background technique
For the evaluation of distribution Power System Reliability, W.J.Lyman and S.M.Dean et al. are since the 1930s pair
Statistical theory is studied, and is evaluated Power System Reliability with probabilistic method, is applied to maintenance of equipment and spare capacity
The problems such as determining, " meter and protective device act probabilistic micro-capacitance sensor reliability assessment " in terms of handling uncertain information,
The influence of uncertain factor, establishes Reliability Evaluation Model in integrated application probability theory and fuzzy set theory processing planning process,
" the electric network reliability Probability Characteristics for considering Parameter uncertainties " are uncertain using Interval evaluation processing original reliability parameter
Bring influences, and improves reliability index confidence level.
In the research of security of distribution network evaluation, " An Evidential Reasoning Approach to
Transformer Condition Assessments " power system security is established with pattern-recognition and fuzzy set theory comments
Transient state index in valence, " UHV synchronous power network safety evaluation " carry out the safety of planning extra-high voltage target grid polygonal
The analysis of degree, Zhu Z etc. propose the Operation of Electric Systems of a kind of probability distribution based on fault correction time and utility theory
The new model of risk assessment.
For economy operation of power grid evaluation especially to power distribution network economical operation overall merit aspect, " towards low-carbon target
Electric system energy conservation and economical operation evaluation system " be based on timing load curve, construct based on cost of electricity-generating, operation at
The evaluation model of the various dimensions index systems such as sheet, grid loss, discharge and power grid efficiency is realized to electric system integrated economy
The comprehensive assessment of operation and Energy-saving Situation, " research of grid equipment operational efficiency evaluation index " match foundation using correlation analysis
The index of economy operation of power grid evaluation is screened, and the reasonability of selected index is verified, " the power distribution network operation based on combining weights
Economic Evaluation " mainly study the objective weighted model based on data mining theories and the subjective weighting method phase based on evidence theory
In conjunction with carrying out parameter weight, and Field Using Fuzzy Comprehensive Assessment is utilized to carry out the assessment of power distribution network economic operation level, " Optimum
VAR Sizing and Allocation Using Particle Swarm Optimization " it is carried out for idle work optimization
Mainly weight is arranged to each target by weighting method in economic analysis research, and completion is converted to multi-objective optimization question
Single-objective problem is solved.
Recent domestic scholar is for power distribution network operation level, power supply reliability, safety and economical etc.
Carried out a series of evaluation study projects, but existing research achievement be mostly for operation of power networks one side or several aspects into
Row analysis, the content for evaluating covering is not comprehensive enough, especially comprehensive to power distribution network economical operation for economy operation of power grid evaluation
Evaluation, research is also less both at home and abroad at present, meanwhile, for the appraisement system and evaluation side of renewable energy and energy storage coordinated scheduling
Method research is still deficiency, is solved up for us.
Summary of the invention
For this purpose, the embodiment of the present invention provide it is a kind of meter and energy storage multiple-energy-source distribution system coordinated scheduling overall merit side
Method, to solve that analysis assessment can only be carried out for one aspect or several aspects to operation of power networks in the prior art, evaluation is covered
The not comprehensive enough problem of the content of lid.
To achieve the goals above, embodiments of the present invention provide the following technical solutions:
It is a kind of meter and energy storage multiple-energy-source distribution system coordinated scheduling integrated evaluating method, evaluation method includes following step
It is rapid: evaluation method the following steps are included:
Step S100 is coordinated by economy, the feature of environmental protection and reliability the building meter of operation plan and the power distribution network of energy storage
Dispatch comprehensive evaluation index library；
Step S200 according to the corresponding data information of index collection in established index storehouse, and locates data in advance
Reason；
Step S300, information determines the power of evaluation index to the significance level of overall merit target according to the collected data
Weight；
Step S400, it is complete using economy, the feature of environmental protection and reliability of the fuzzy synthetic appraisement method to coordinated scheduling scheme
At overall merit.
As a preferred solution of the present invention, according to step S100, the economic index includes total consumption of coal amount, abandonment
Rate and Network Loss Rate；
The feature of environmental protection index includes pollutant discharge amount, degree electropollution object discharge amount, spends electric wastewater discharge and degree electricity
CO2 discharge amount；
The reliability index includes expected loss of energy, not enough power supply time desired value, cutting load probability and route
Out-of-limit probability.
As a preferred solution of the present invention, according to step S200, the related data information of acquisition meets the steady of system
Determine operating condition, determines that the steady working condition condition of the system is to include:
Coordinated control system investment is automatic, and each subsystem operates normally；
Whithin a period of time, the stabilization of the actual load and main steam pressure of the actual load of power grid and power and unit
Property index meets defined threshold.
As a preferred solution of the present invention, stable state decision threshold formula are as follows:
In formula, AmaxAnd AminThe maximum value and minimum value of certain parameter respectively in a period of time, Ae are the parameter specified
Rated value under load, δkFor stable threshold.
As a preferred solution of the present invention, according to step S200, data preprocessing method the following steps are included:
Step S201 carries out stable state detection to data and quasi-steady state is handled；
Step S202, to treated, data carry out cleaning and validation verification, complete the secondary treatment of data；
Step S203 is standardized conversion to the data after secondary treatment, completes data prediction.
As a preferred solution of the present invention, the processing method of the data cleansing and validation verification includes: missing
Value processing and noise filtering.
As a preferred solution of the present invention, according to step S203, the data normalization conversion formula are as follows:
In formula, x 'ijFor the index value after standardization, xijFor j-th of index value of i-th of scheme,For j-th of index
Minimum value,It is described for the maximum value of j-th of indexWithAcquisition modes include two kinds, and one is vertical by search
Formula operation data library obtains, secondly being determined according to Related Mechanism analysis.
As a preferred solution of the present invention, the meter and the power distribution network coordinated scheduling evaluation criterion weight of energy storage are true
Determine mode are as follows: use the combination weights method based on game theory, by the subjective weight determined by analytic hierarchy process (AHP) with it is true by entropy assessment
Fixed objective weight combines, and obtains the comprehensive weight of renewable energy Yu energy storage coordinated scheduling evaluation index.
As a preferred solution of the present invention, according to step S400, using fuzzy synthetic appraisement method to coordinated scheduling
The economy of scheme, the feature of environmental protection and reliability complete the method for overall merit the following steps are included:
Step S401 sets Comment gathers V={ V1,V2,V3,V4,V5, and the index subset evaluated is determined according to Criterion Attribute
Ui={ Ui1,Ui2,…,Uik}；
Step S402 further determines that the weight A of each index according to the index set of evaluation is determinedi=[ωi1,
ωi2,…,ωij]；
Step S403；Level-one fuzzy overall evaluation is completed according to weight and evaluation；
Step S404；Two-level appraisement is carried out according to level-one fuzzy overall evaluation result；
Step S405, repeats step S402 to step S404, completes to the economy of coordinated scheduling scheme, the feature of environmental protection and can
Overall merit is completed by property.
As a preferred solution of the present invention, according to step S403 and step S404, the side of the level-one fuzzy evaluation
Formula are as follows:
According to each index value after standardization, determine the index in index set in Comment gathers by triangle subordinating degree function
The degree of membership of each comment obtains index subset UiFuzzy evaluating matrix Ri；
Ri=(rij)k×5,
In formula, rij(Vj) it is index subset UiIn degree of membership of i-th of index to j-th of comment, PjFor corresponding to j-th
The parameter of comment, wherein P1=0, p2=0.2, P3=0.5, P4=0.8, P5=1；
Later by weight AiWith fuzzy evaluating matrix RiSynthesis, obtains index subset U by fuzzy linear transformationiMould
Paste comprehensive evaluation result Bi；
In formula,Indicate that generalized fuzzy synthesizes operation；
The Secondary Fuzzy Comprehensive Evaluation formula are as follows:
In formula, matrix K=(Kij)1×5, as the fuzzy overall evaluation of operation plan is as a result, each comment value bijRepresenting should
Operation plan is to comment VjDegree of membership, A be policymaker to each index subset UiWeight constitute weight vectors
Embodiments of the present invention have the advantages that
The present invention uses the combination weights method based on game theory, by the subjective weight determined by analytic hierarchy process (AHP) and by entropy weight
The objective weight that method determines combines, so that the comprehensive weight of renewable energy Yu energy storage coordinated scheduling evaluation index is obtained, this
Kind of method embodies not only vied each other between subjective and objective Weight Determination, but also harmonious thought, can it is objective, comprehensive,
Scientifically solve the problems, such as index weights, can effective solution Evaluation: Current system it is not comprehensive enough to operation of power networks comprehensive evaluation
The problem of.
Detailed description of the invention
It, below will be to embodiment party in order to illustrate more clearly of embodiments of the present invention or technical solution in the prior art
Formula or attached drawing needed to be used in the description of the prior art are briefly described.It should be evident that the accompanying drawings in the following description is only
It is merely exemplary, it for those of ordinary skill in the art, without creative efforts, can also basis
The attached drawing of offer, which is extended, obtains other implementation attached drawings.
Structure depicted in this specification, ratio, size etc., only to cooperate the revealed content of specification, for
Those skilled in the art understands and reads, and is not intended to limit the invention enforceable qualifications, therefore does not have technical
Essential meaning, the modification of any structure, the change of proportionate relationship or the adjustment of size are not influencing the function of the invention that can be generated
Under effect and the purpose that can reach, should all still it fall in the range of disclosed technology contents obtain and can cover.
Fig. 1 is the flow chart of the embodiment of the present invention.
Specific embodiment
It is understood other advantages and efficacy of the present invention easily by content disclosed by this specification, it is clear that described
Embodiment is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without making creative work belongs to the model that the present invention protects
It encloses.
As shown in Figure 1, the present invention provides a kind of meter and the multiple-energy-source distribution system coordinated scheduling overall merit sides of energy storage
Method, evaluation method the following steps are included:
Step S100 is coordinated by economy, the feature of environmental protection and reliability the building meter of operation plan and the power distribution network of energy storage
Dispatch comprehensive evaluation index library；
Step S200 according to the corresponding data information of index collection in established index storehouse, and locates data in advance
Reason；
Step S300, information determines the power of evaluation index to the significance level of overall merit target according to the collected data
Weight；
Step S400, it is complete using economy, the feature of environmental protection and reliability of the fuzzy synthetic appraisement method to coordinated scheduling scheme
At overall merit.
Meter and energy storage power distribution network coordinated scheduling assessment indicator system design follow purpose, normalization, it is comprehensive, be
The principles such as system property, simplicity, combination of qualitative and quantitative analysis, principle of comparability, convenient for available more reasonable when using in the later period
The appraisal report of science.
According to step S100, the economic index includes total consumption of coal amount, abandonment rate and Network Loss Rate；
The feature of environmental protection index includes pollutant discharge amount, degree electropollution object discharge amount, spends electric wastewater discharge and degree electricity
CO2 discharge amount；
The reliability index includes expected loss of energy, not enough power supply time desired value, cutting load probability and route
Out-of-limit probability.
Wherein, total consumption of coal amount calculation expression are as follows:
In formula, fCi(Pi,t) it is coal consumption amount of the unit i in period t, Ui,tIt is unit i in the operating status variable of period t, takes
Value operates normally for 0 or 1,1 characterization unit, and 0 indicates compressor emergency shutdown, LtFor the time span of period t；
Abandonment rate calculation expression formula are as follows:
In formula, EqFor the abandonment amount of blower, EwindFor the actual power generation of blower；
Network Loss Rate calculation expression formula are as follows:
In formula, Pt NLFor the system losses of t period, E and EwThe respectively generated energy of conventional power unit and renewable energy
Generated energy；
Pollutant discharge amount calculation expression formula are as follows:
In formula, fEi(Pi,t) it is pollutant discharge amount of the unit i in period t；
Spend electropollution object Emission amount calculation expression formula:
In formula, FSFor soot emissions total amount,For SO2 gas total emission volumn,For NOx gas total emission volumn；
Spend electric wastewater discharge calculation expression formula are as follows:
In formula, FeFor wastewater emission amount；
Spend electricity CO2 Emission amount calculation expression formula are as follows:
In formula,For CO2 total emission volumn；
Expected loss of energy calculation expression formula are as follows:
In formula, N is system random sampling number, CyThe cutting load total electricity sampled for the y times；
Not enough power supply time desired value calculation expression formula are as follows:
In formula, tyThe electric power sampled for the y times is insufficient total time；
Cutting load probability calculation expression formula are as follows:
In formula, S is system cutting load state set, tiFor the duration of state i, T is total simulation time；
The out-of-limit probability calculation expression formula of route are as follows:
In formula, F is the out-of-limit t of routejState set；For the duration of state j, T is total statistical time.
According to step S200, the related data information of acquisition meets the steady working condition of system, determines the stabilization of the system
Working condition be include:
Coordinated control system investment is automatic, and each subsystem operates normally；
Whithin a period of time, the stabilization of the actual load and main steam pressure of the actual load of power grid and power and unit
Property index meets defined threshold.
Wherein there is a condition undesirable, then the time opposite bank up time recursion of books sampling, until meeting set
Two conditions, i.e., for guarantee information collected be in the case where system run all right, can avoid acquisition data go out
Existing biggish fluctuation, and lead to occur biggish error when subsequent evaluation, it can effectively improve the precision of its evaluation
For stable state decision threshold formula are as follows:
In formula, AmaxAnd AminThe maximum value and minimum value of certain parameter respectively in a period of time, Ae are the parameter specified
Rated value under load, δkFor stable threshold.
When carrying out stable state detection, operating parameter, boundary constraint and each correlated characteristic variable are comprehensively considered to system performance
Influence degree select stable state to determine characteristic variable, carry out quasi-steady state processing for fluctuating biggish data, i.e., will collect
Data sample carry out mean value computation whithin a period of time, the length of period is according to the characteristic variable inertia of related system come really
It is fixed, and obtained steady state condition point data sample is stored in steady running condition database.
According to step S200, data preprocessing method the following steps are included:
Step S201 carries out stable state detection to data and quasi-steady state is handled；
Step S202, to treated, data carry out cleaning and validation verification, complete the secondary treatment of data；
Step S203 is standardized conversion to the data after secondary treatment, completes data prediction.
The processing method of the data cleansing and validation verification includes: missing values processing and noise filtering.
Missing values processing includes elimination method and interpolation.
Elimination method is big for sample size and missing values shared by sample ratio it is smaller when, the ratio that missing values account for sample does not surpass
5% is crossed, the accuracy of data after handling with guarantee.
The thought source of interpolation is to carry out interpolation missing values with most likely value, and there are commonly following several methods:
Mean value interpolation can split data into spacing type and non-spacing type according to the attribute of data.If missing values are spacings
Type, the value of interpolation missing is just carried out with the average value of the attribute existence value；If missing values are non-spacing types, just according to statistics
Mode principle in, the value lacked with the mode (i.e. the highest value of the frequency of occurrences) of the attribute come polishing；If data fit
Compared with the regularity of distribution of specification, then intermediate value interpolation can also be used.
Regression imputation, i.e., using the data that linearly or nonlinearly regression technique obtains come the missing data to some variable into
Row interpolation.
Maximum-likelihood estimation, under conditions of deletion type is missing at random, it is assumed that model is just for complete sample
True, then the limit distribution by observation data can carry out Maximum-likelihood estimation to unknown parameter, this method is also claimed
For the Maximum-likelihood estimation for ignoring missing values, for maximum likelihood parameter Estimation in practice frequently with calculation method be expectation
Value maximizes, and than deleting case and monodrome interpolation more attractive, its important prerequisite is this method: being suitable for full-page proof
This.
Noise is data random error present in data.Common noise filtering methods have the Return Law, mean value smoothing
Method, the point analysis that peels off etc..
The Return Law is with a Function Fitting data come smooth data.First data are visualized, judge becoming for data
Then gesture and rule determine whether to be denoised with the Return Law again.
Mean value smoothing method refer to the variable with sequence signature is replaced with the mean value for several data closed on it is original
The method of data.
The point analysis that peels off is to detect outlier by the methods of cluster, and be deleted, thus the method for realizing denoising.
In addition, the thermodynamic behaviour change of unit and energy storage device causes for amendment as system operation time elapses
Aging, according to the validity of the preliminary Identification Data sample of the time tag of system operation data sample, with the overhaul week of system
On the basis of phase, have to acquisition from the history data in the same overhaul life in conjunction with literary data actual effect factor calculation method
The verifying of effect property.
According to step S203, the data normalization conversion formula are as follows:
In formula, x 'ijFor the index value after standardization, xijFor j-th of index value of i-th of scheme,For j-th of index
Minimum value,It is described for the maximum value of j-th of indexWithAcquisition modes include two kinds, and one is vertical by search
Formula operation data library obtains, secondly being determined according to Related Mechanism analysis.
Standardization conversion for data, is to be standardized to raw measurement data, by different characteristic variable
Attribute value be converted in [0,1] section, to achieve the purpose that improve arithmetic accuracy and computational stability.
The power distribution network coordinated scheduling evaluation criterion weight method of determination of the meter and energy storage are as follows: using based on game theory
Combination weights method combines the subjective weight determined by analytic hierarchy process (AHP) with the objective weight determined by entropy assessment, and obtaining can
The comprehensive weight of the renewable sources of energy and energy storage coordinated scheduling evaluation index.
According to step S400, using fuzzy synthetic appraisement method to the economy of coordinated scheduling scheme, the feature of environmental protection and reliable
Property complete overall merit method the following steps are included:
Step S401 sets Comment gathers V={ V1,V2,V3,V4,V5, and the index subset evaluated is determined according to Criterion Attribute
Ui={ Ui1,Ui2,…,Uik}；
Step S402 further determines that the weight A of each index according to the index set of evaluation is determinedi=[ωi1,
ωi2,…,ωij]；
Step S403；Level-one fuzzy overall evaluation is completed according to weight and evaluation；
Step S404；Two-level appraisement is carried out according to level-one fuzzy overall evaluation result；
Step S405, repeats step S402 to step S404, completes to the economy of coordinated scheduling scheme, the feature of environmental protection and can
Overall merit is completed by property.
The Comment gathers include poor, poor, general, more excellent and excellent five grades, respectively correspond V1、V2、V3、V4And V5, i.e.,
Evaluate collection is V={ V1,V2,V3,V4,V5, what the various evaluation results for indicating that different scheduling schemes may be made formed
Set, each comment value indicate corresponding index or index subset to the degree of membership of the comment, and the determination of Comment gathers result can be with
Obtain a fuzzy evaluation vector.
Determination method for index subset is, according to Criterion Attribute, i.e. economy, safety, feature of environmental protection etc., by index
Collection U is divided into n index subset Ui(i=1,2 ..., n), if each index collects U certainlyiComprising k index, then index subset Ui=
{Ui1,Ui2,…,Uik}。
It is to determine each index subset U for weight method for determination of amountiWeights omegai(i=1,2 ..., n), then referred to
The weight vectors for marking subset are A=[ω1,ω2,…,ωn], for each index subset Ui, determine index subset UiInterior each index
Weights omegaij(j=1,2 ..., k), the weight vectors that each index in index subset then can be obtained are Ai=[ωi1,
ωi2,…,ωij]。
According to step S403 and step S404, the mode of the level-one fuzzy evaluation are as follows:
According to each index value after standardization, determine the index in index set in Comment gathers by triangle subordinating degree function
The degree of membership of each comment obtains index subset UiFuzzy evaluating matrix Ri；
Ri=(rij)k×5,
In formula, rij(Vj) it is index subset UiIn degree of membership of i-th of index to j-th of comment, PjFor corresponding to j-th
The parameter of comment, wherein P1=0, p2=0.2, P3=0.5, P4=0.8, P5=1；
Passing through triangle
Later by weight AiWith fuzzy evaluating matrix RiSynthesis, obtains index subset U by fuzzy linear transformationiMould
Paste comprehensive evaluation result Bi；
In formula,Indicate that generalized fuzzy synthesizes operation；
The Secondary Fuzzy Comprehensive Evaluation formula are as follows:
In formula, matrix K=(Kij)1×5, as the fuzzy overall evaluation of operation plan is as a result, each comment value bijRepresenting should
Operation plan is to comment VjDegree of membership, A be policymaker to each index subset UiWeight constitute weight vectors.
In step S405, step S402 and step S404 is repeated, available each renewable energy and energy storage are coordinated
The fuzzy overall evaluation of scheduling scheme is as a result, according to the fuzzy overall evaluation of each coordinated scheduling scheme as a result, being subordinate to according to maximum
Degree principle is ranked up, i.e., using the maximum comment of degree of membership as total comment of the coordinated scheduling scheme, then according to total comment
Trap queuing is carried out, you can get it portion can the allow open-and-shut appraisal report of staff is comprehensive to operation of power networks to comment
Valence enhanced convenience.
Although above having used general explanation and specific embodiment, the present invention is described in detail, at this
On the basis of invention, it can be made some modifications or improvements, this will be apparent to those skilled in the art.Therefore,
These modifications or improvements without departing from theon the basis of the spirit of the present invention are fallen within the scope of the claimed invention.
Claims (10)
1. a kind of meter and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage, which is characterized in that evaluation method packet
Include following steps:
Step S100 passes through economy, the feature of environmental protection and reliability the building meter of operation plan and the power distribution network coordinated scheduling of energy storage
Comprehensive evaluation index library；
Step S200 according to the corresponding data information of index collection in established index storehouse, and pre-processes data；
Step S300, information determines the weight of evaluation index to the significance level of overall merit target according to the collected data；
Step S400 is completed comprehensive using economy, the feature of environmental protection and reliability of the fuzzy synthetic appraisement method to coordinated scheduling scheme
Close evaluation.
2. a kind of meter according to claim 1 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
It is characterized in that, in the step s 100, the economic index includes total consumption of coal amount, abandonment rate and Network Loss Rate；
The feature of environmental protection index includes pollutant discharge amount, degree electropollution object discharge amount, spends electric wastewater discharge and degree electricity CO2 row
High-volume；
The reliability index includes that expected loss of energy, not enough power supply time desired value, cutting load probability and route are out-of-limit
Probability.
3. a kind of meter according to claim 1 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
It is characterized in that, in step s 200, the related data information of acquisition meets the steady working condition of system, determines the stabilization of the system
Working condition be include:
Coordinated control system investment is automatic, and each subsystem operates normally；
Whithin a period of time, the stability of the actual load and main steam pressure of the actual load of power grid and power and unit refers to
Mark meets defined threshold.
4. a kind of meter according to claim 3 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
It is characterized in that, stable state decision threshold formula are as follows:
In formula, AmaxAnd AminThe maximum value and minimum value of certain parameter respectively in a period of time, Ae are the parameter in rated load
Under rated value, δkFor stable threshold.
5. a kind of meter according to claim 1 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
Be characterized in that, in step s 200, data preprocessing method the following steps are included:
Step S201 carries out stable state detection to data and quasi-steady state is handled；
Step S202, to treated, data carry out cleaning and validation verification, complete the secondary treatment of data；
Step S203 is standardized conversion to the data after secondary treatment, completes data prediction.
6. a kind of meter according to claim 5 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
It is characterized in that, the processing method of the data cleansing and validation verification includes: missing values processing and noise filtering.
7. a kind of meter according to claim 5 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
It is characterized in that, according to step S203, the data normalization conversion formula are as follows:
In formula, x 'ijFor the index value after standardization, xijFor j-th of index value of i-th of scheme,Most for j-th of index
Small value,It is described for the maximum value of j-th of indexWithAcquisition modes include two kinds, and one is by searching for vertical fortune
Row database obtains, secondly being determined according to Related Mechanism analysis.
8. a kind of meter according to claim 1 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
It is characterized in that, the power distribution network coordinated scheduling evaluation criterion weight method of determination of the meter and energy storage are as follows: using based on game theory
Combination weights method, the subjective weight determined by analytic hierarchy process (AHP) is combined with the objective weight determined by entropy assessment, is obtained
The comprehensive weight of renewable energy and energy storage coordinated scheduling evaluation index.
9. a kind of meter according to claim 1 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
It is characterized in that, according to step S400, using fuzzy synthetic appraisement method to the economy of coordinated scheduling scheme, the feature of environmental protection and reliable
Property complete overall merit method the following steps are included:
Step S401 sets Comment gathers V={ V1,V2,V3,V4,V5, and the index subset U evaluated is determined according to Criterion Attributei=
{Ui1,Ui2,…,Uik}；
Step S402 further determines that the weight A of each index according to the index set of evaluation is determinedi=[ωi1,ωi2,…,
ωij]；
Step S403；Level-one fuzzy overall evaluation is completed according to weight and evaluation；
Step S404；Two-level appraisement is carried out according to level-one fuzzy overall evaluation result；
Step S405 repeats step S402 to step S404, completes economy, the feature of environmental protection and reliability to coordinated scheduling scheme
Complete overall merit.
10. a kind of meter according to claim 8 and the multiple-energy-source distribution system coordinated scheduling integrated evaluating method of energy storage,
It is characterized in that, according to step S403 and step S404, the mode of the level-one fuzzy evaluation are as follows:
According to each index value after standardization, determine that the index in index set is respectively commented in Comment gathers by triangle subordinating degree function
The degree of membership of language obtains index subset UiFuzzy evaluating matrix Ri；
Ri=(rij)k×5,
In formula, rij(Vj) it is index subset UiIn degree of membership of i-th of index to j-th of comment, PjFor corresponding to j-th of comment
Parameter, wherein P1=0, p2=0.2, P3=0.5, P4=0.8, P5=1；
Later by weight AiWith fuzzy evaluating matrix RiSynthesis, obtains index subset U by fuzzy linear transformationiObscure it is comprehensive
Close evaluation result Bi；
In formula,Indicate that generalized fuzzy synthesizes operation；
The Secondary Fuzzy Comprehensive Evaluation formula are as follows:
In formula, matrix K=(Kij)1×5, as the fuzzy overall evaluation of operation plan is as a result, each comment value bijRepresent the scheduling
Plan is to comment VjDegree of membership, A be policymaker to each index subset UiWeight constitute weight vectors.
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