CN111401740A - Power grid side energy storage system evaluation system and method - Google Patents
Power grid side energy storage system evaluation system and method Download PDFInfo
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Abstract
The invention provides a power grid side energy storage system evaluation system and method, which comprises the following steps: obtaining an evaluation index for evaluating the power grid energy storage system from an information source, wherein the information source comprises a network and/or a local file; calculating the weight of each evaluation index through a computer; all sub-indexes in the evaluation indexes are used as an attribute set through a computer, the energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is carried out on the data, an initial information system is built, attribute reduction is carried out on the initial information system, the importance and the weight of the attributes are calculated, and an evaluation model is obtained; and inputting the energy storage technology to be evaluated into the evaluation model by taking the energy storage technology to be evaluated as an object through a computer to obtain an evaluation value of the energy storage technology to be evaluated. The invention can select the energy storage technology most suitable for a certain application scene from a plurality of energy storage technologies, thereby forming a technical route suitable for development strategies of enterprises and countries.
Description
Technical Field
The invention relates to the technical field of calculation and measurement, in particular to a power grid side energy storage system evaluation system and method.
Background
The energy storage technology plays an indispensable important role in receiving intermittent new energy sources such as wind power, solar power generation and the like to enter a network, can remarkably improve the adjustable and controllable characteristics of the renewable energy sources, participates in auxiliary services such as peak shaving and frequency modulation of a power grid, and is an indispensable regulation and control means for distributed power generation and a micro-grid, so that the energy storage technology is a key technology and an important way for realizing the efficient utilization of the renewable energy sources, the open interconnection of various energy sources and the collaborative development.
At present, various energy storage technologies, such as physical energy storage (e.g., pumped storage, compressed air energy storage, phase change energy storage, and flywheel energy storage) and electrochemical energy storage (e.g., lead-acid battery, flow battery, sodium-sulfur battery, nickel-hydrogen battery, nickel-cadmium battery, and lithium ion battery), have been developed at home and abroad. Because various energy storage modes have different performances in the aspects of technology, application, economic feasibility and the like, the comprehensive applicability of the energy storage mode under the whole life cycle is very important for energy storage type selection and large-scale application. Therefore, how to select an energy storage system most suitable for a specific application scenario from a plurality of energy storage technologies according to objective requirements of energy revolution and power grid form development and further develop a technical route suitable for a national power grid and a national development strategy is a crucial topic.
The application field of the energy storage technology mainly comprises new energy grid connection, distributed energy and micro-grid, system peak regulation, emergency standby, electric energy quality management and the like. The different battery energy storage technologies have great difference in technical and economic advantages and limitations, various energy storage systems have different priorities under different target criteria, how to comprehensively evaluate the performances of the energy storage systems and provide a preferred scheme for users. For example, comprehensive evaluation of energy storage morphology can be obtained using AHP (analytic hierarchy process) and fuzzy logic analysis, but this method cannot perform sensitivity analysis; secondly, as disclosed in patent document CN 108197746a, for the problem of energy storage type selection in some micro-grids, the optimal energy storage type is selected by comprehensively considering four factors of various energy storage technologies, economy, safety and maturity, but the method for analyzing the optimal energy storage configuration scheme from a single scene or a single target in combination with different energy storage types is relatively single in analysis angle, and cannot fully reflect the operation characteristics of different energy storage types in different scenes. Therefore, the comprehensive, objective and quantitative analysis and evaluation method has important significance in developing the whole life cycle.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a power grid side energy storage system evaluation system and method.
The invention provides a power grid side energy storage system evaluation method, which comprises the following steps:
an evaluation index acquisition step: obtaining an evaluation index for evaluating the power grid energy storage system from an information source, wherein the information source comprises a network and/or a local file;
weight determination: calculating the weight of each evaluation index through a computer;
an evaluation model establishing step: all sub-indexes in the evaluation indexes are used as an attribute set through a computer, the energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is carried out on the data, an initial information system is built, attribute reduction is carried out on the initial information system, the importance and the weight of the attributes are calculated, and an evaluation model is obtained;
evaluation step: and inputting the energy storage technology to be evaluated into the evaluation model by taking the energy storage technology to be evaluated as an object through a computer to obtain an evaluation value of the energy storage technology to be evaluated.
Preferably, the weight determining step includes:
where, ω ({ c)i}) is attribute ciWeight of (c), sig ({ c)i})、sig({cj}) is attribute ci、cjThe importance of (c).
Preferably, the evaluation model establishing step includes:
all sub indexes in the evaluation indexes are used as an attribute set by a computer, the energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is carried out on the data, an initial information system S is constructed, S is (U, C, V, f), U is a non-empty finite set and is called a discourse domain, C is a conditional attribute set,
Vcvalue range of attribute C ∈ C, f: U × A → VcFor a shot, the attribute of any element in the domain of discourse U is assigned an information value, namely x ∈ U,
f(x，c)∈Vcsimplifying the attribute of the initial information system, and calculating the importance and weight of the attribute;
for the reduced initial information system S, the evaluation value of the nth object X is:
wherein, Xn∈U，v(Xn，ci) For the nth object X in attribute ciValue of ω ({ c)i}) is attribute ciThe weight of (c).
Preferably, the step of obtaining the evaluation index further includes adjusting the selected evaluation index, specifically, sequentially determining whether the evaluation indexes are matched, whether the evaluation indexes are conceptually overlapped, whether the evaluation indexes are not completely overlapped, whether the evaluation indexes are not subordinated, and whether the text format of the evaluation indexes is normal, and performing corresponding processing according to each determination.
Preferably, the unmatched evaluation indexes are deleted, one of the evaluation indexes with non-overlapping concepts is reserved, one of the evaluation indexes with complete overlapping is deleted, and the lower level of the evaluation indexes with the subordinate relationship is reserved, so that the evaluation indexes with irregular character formats are corrected.
The invention provides a power grid side energy storage system evaluation system, which comprises:
an evaluation index acquisition module: obtaining an evaluation index for evaluating the power grid energy storage system from an information source, wherein the information source comprises a network and/or a local file;
a weight determination module: calculating the weight of each evaluation index through a computer;
an evaluation model establishing module: all sub-indexes in the evaluation indexes are used as an attribute set through a computer, the energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is carried out on the data, an initial information system is built, attribute reduction is carried out on the initial information system, the importance and the weight of the attributes are calculated, and an evaluation model is obtained;
an evaluation module: and inputting the energy storage technology to be evaluated into the evaluation model by taking the energy storage technology to be evaluated as an object through a computer to obtain an evaluation value of the energy storage technology to be evaluated.
Preferably, the weight determination module includes:
where, ω ({ c)i}) is attribute ciWeight of (c), sig ({ c)i})、sig({cj}) is attribute ci、cjThe importance of (c).
Preferably, the evaluation model building module includes:
all sub-indexes in the evaluation indexes are used as an attribute set through a computer, and the energy storage technology is used as an object setObtaining data of each object under each attribute, discretizing the data to construct an initial information system S, wherein S is (U, C, V, f), U is a non-empty finite set and is called a discourse domain, C is a conditional attribute set,
Vcvalue range of attribute C ∈ C, f: U × A → VcFor a shot, the attribute of any element in the domain of discourse U is assigned an information value, namely x ∈ U,
f(x，c)∈Vcsimplifying the attribute of the initial information system, and calculating the importance and weight of the attribute;
for the reduced initial information system S, the evaluation value of the nth object X is:
wherein, Xn∈U，v(Xn，ci) For the nth object X in attribute ciValue of ω ({ c)i}) is attribute ciThe weight of (c).
Preferably, the evaluation index obtaining module further adjusts the selected evaluation indexes, specifically, sequentially judges whether the evaluation indexes are matched, whether the evaluation indexes are conceptually overlapped, whether the evaluation indexes are not completely overlapped, whether the evaluation indexes are not subordinated, and whether the text formats of the evaluation indexes are normal, and performs corresponding processing according to each judgment.
Preferably, the unmatched evaluation indexes are deleted, one of the evaluation indexes with non-overlapping concepts is reserved, one of the evaluation indexes with complete overlapping is deleted, and the lower level of the evaluation indexes with the subordinate relationship is reserved, so that the evaluation indexes with irregular character formats are corrected.
Compared with the prior art, the invention has the following beneficial effects:
(1) the method is helpful for objectively reflecting the actual development level of the power grid energy storage technology, grasping the implementation effect of policy measures, analyzing the advantages and disadvantages of the current energy storage technology development and finding the aspects that the power grid energy storage technology needs to be mainly constructed and improved. The energy storage technology which is most suitable for a certain application scene can be selected from a plurality of energy storage technologies, and a technical route which is suitable for development strategies of enterprises and countries is further formed.
(2) In the invention, the advantages and disadvantages of various technologies are comprehensively considered in the process of energy storage configuration, and a proper type is selected according to specific requirements, so that the energy storage system is most effectively utilized, and the use cost is reduced.
(3) The popularization and application of new energy are effectively promoted, an energy storage technology and a system which are most suitable for renewable energy utilization can be selected by establishing an energy storage system application evaluation system under the constraint of multi-target conditions under the condition of a whole life cycle, so that the new energy is converted into electric energy to be used without being influenced by factors such as seasons, day and night, geographical environments and the like, and the problems of power grid frequency fluctuation and the like caused by renewable energy access are fundamentally solved.
(4) Through the establishment of a scientific evaluation system, the operation efficiency of the power grid is greatly improved, meanwhile, the renewable energy can be effectively accessed and fully utilized, and the formation of a clean energy service market is promoted. And finally, guiding the development direction of the energy storage technology. The professional guidance function is exerted, the advantages and the defects in the energy storage technology construction of China are explored, and guidance and suggestions are provided for the power grid construction development.
(5) The method effectively guides the energy storage battery to be popularized and applied in the power grid of China and plans the construction direction, plays the role of professional guidance, timely evaluates the advantages and the defects in the power grid development process, is beneficial to understanding and predicting the future development of the power grid, sets the target, realizes the comprehensive and balanced development of the power grid energy storage, and has very important practical significance for guiding the planning, construction, operation and management of the power grid.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a flow chart of the operation of the present invention;
FIG. 2 is a flow chart of evaluation index selection and adjustment according to the present invention.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, the method for evaluating an energy storage system on a power grid side provided by the invention includes:
an evaluation index acquisition step: and obtaining an evaluation index for evaluating the power grid energy storage system from an information source, wherein the information source comprises a network and/or a local file.
Weight determination: the weight of each evaluation index is calculated by a computer.
An evaluation model establishing step: all sub-indexes in the evaluation indexes are used as an attribute set through a computer, the energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is conducted on the data, an initial information system is built, attribute reduction is conducted on the initial information system, importance and weight of the attributes are calculated, and an evaluation model is obtained.
Evaluation step: and inputting the energy storage technology to be evaluated into the evaluation model by taking the energy storage technology to be evaluated as an object through a computer to obtain an evaluation value of the energy storage technology to be evaluated.
Specifically, the evaluation index obtaining step can obtain the index of the energy storage technology evaluation through literature research and technical consultation.
The literature research method, also known as information research, data research or literature investigation, refers to a method for searching, collecting, identifying, sorting and analyzing the literature data to form scientific knowledge of facts. The literature research method has the characteristics of exceeding time and space limitation, indirection, high efficiency and the like, and is very suitable for selecting data suitable for a subject from various literature data, and performing appropriate analysis on the data to summarize related problems.
On the other hand, experts in the technical field of energy storage are consulted to obtain scientific and reasonable evaluation indexes of large-scale energy storage technology which can be applied to new energy grid-connected power generation, and technical factors, economic factors, environmental factors, social factors and the like are summarized as main factors for evaluating the energy storage technology; secondly, the indexes of the energy storage technology evaluation are obtained from the aspects of technology, economy, environment, society and the like.
At present, the energy storage technology is widely developed, various new electrochemical energy storage modes are concerned, application reports of the energy storage technology are deep, in addition, an evaluation system of the energy storage technology draws attention at home and abroad, and more earlier researches can be provided for reference in application performance of a power grid. Through a literature research method, on the basis of analyzing the current development situation of the current energy storage technology, the principle and the basis of the construction of an evaluation system are determined through reading, analyzing and combing a large number of related literatures, and a perfect index set is formed through analyzing feasibility evaluation influence factors of the application of the energy storage technology with the whole life cycle in a power grid, so that the prototype of the evaluation system is obtained.
For the weight determination step, after the evaluation index applied to the energy storage system is established, the weight of the evaluation index (attribute) may be obtained by the following formula:
where, ω ({ c)i}) is attribute ciWeight of (c), sig ({ c)i})、sig({cj}) is attribute ci、cjThe importance of (c).
For the evaluation model building step, the building of the step can be according to the following steps: (1) and establishing an initial information system S ═ U, C, V and f. Firstly, all sub-indexes in the application evaluation indexes of the energy storage system are used as attribute sets of the information system, and the energy storage technology to be evaluated is used as an object set in the information system; secondly, obtaining data of each object under each attribute, and performing discretization processing on the data (for example, adopting a 1-4 grade)Expert discretization), thereby constructing an information system S. (2) Information system attribute reduction. According to the concept of attribute reduction in the rough set theory, calculating the indistinguishable relationship, and solving various reductions of the information system, thereby reducing the information system. (3) And calculating the weight of the evaluation index. For the reduced information system S ═ U, C, V, f, the attribute importance and attribute (evaluation indicator) weight are calculated. (4) And (5) comprehensively evaluating the model. For the reduced information system S ═ U, (U, C, V, f), U is a non-empty finite set, called the discourse domain, C is a set of conditional attributes,
Vcvalue range of attribute C ∈ C, f: U × A → VcFor a shot, the attribute of any element in the domain of discourse U is assigned an information value, namely x ∈ U,
f(x，c)∈Vc， Xn∈U，
v(Xn，ci) For the nth object X in attribute ciValue of ω ({ c)i}) is attribute ciThe weight of (c).
And for the evaluation step, inputting the energy storage technology to be evaluated as an object into an evaluation model through a computer, and simultaneously considering specific application scene requirements to obtain an evaluation value of the energy storage technology to be evaluated.
The rough set is a mathematical tool for processing fuzzy and uncertain knowledge proposed by Polish mathematician PAW L AK, various energy storage technologies are evaluated by utilizing the rough set, and the theory is based on the following concepts:
(1) (U, a, V, f) is a knowledge representation system, where U is a non-empty finite set, called a domain of discourse; a is a set of a finite number of attributes;
Vais the value range of the attribute a ∈ A, f: U × A → VaFor a shot, the attribute of any element in the domain of discourse U is assigned an information value, namely x ∈ U,
f(x，a)∈Vaif the attribute set a in the information system can be divided into a conditional attribute set C and a decision attribute set D, i.e., if C ∪ D is a and C ∩ D is phi, the information system is called a decision system or decision table.
(2) For any property set C ∈ A, there is an object xi，xj∈U，
If c (x) is satisfiedi)＝c(xj) Then call object xi，xjFor attribute set C, irresolvable (indiscernibility), denoted Ind (C).
(3) For attribute ci∈ A if Ind (A) is Ind (A- { c)i}) then call ciIs redundant; otherwise it is called ciEither independently or as necessary. If it is not
c are all independent, then A is said to be independent. If it is
Is independent, and ind (C) ind (a), C is a reduction of a.
(4) In decision table S ═ (U, C, D, V, f),
let U/P be { P ═ P1，P2，…，PmDenotes the division of the discourse domain U by the condition attribute set P
Then P (X) is the lower approximation set of X over U with respect to P.
(5) In the decision table S ═ (U, C, D, V, f), let U/D ═ D1，D2，…，DkDenotes the division of the domain of interest U by a set of decision attributes D, U/P ═ P1，P2，…，PmIndicates a set of conditional attributes
Division of the theory domain U, called
Positive region of P with respect to D.
(6) In the information system S ═ (U, C, V, f),
let U/{ P } - { P } { (P)1，P2，…，PmAnd defining the importance of the attribute p as follows:
establishment of power grid energy storage system evaluation system
According to the method, firstly, through analysis of influence factors of evaluation indexes of a power grid energy storage technology, selectable indexes for power grid energy storage project evaluation are obtained through one-round screening by using a literature research method. And then setting a rule for selecting the application evaluation index of the power grid energy storage technology, and importing the optional index obtained by analyzing the application evaluation influence factor of the power grid energy storage technology into the set index selection rule for index (two-round) screening. And finally, establishing an application evaluation index system.
And setting a selection rule of the application evaluation indexes of the power grid energy storage system by deeply analyzing and researching the obtained application evaluation indexes of the power grid energy storage system. The flow is shown in fig. 2.
Setting an index selection and adjustment rule:
r1: determination of matching of evaluation objects
The matching of the evaluation object mainly comprises three aspects: evaluation object, evaluation subject and evaluation stage.
R2: determination of whether concepts overlap
The concept overlapping mainly comprises two parts of complete overlapping and dependency overlapping.
If two indices overlap in concept, the two indices need to be imported into R3 (determination of whether concepts completely overlap) and R4 (determination of whether concepts overlap in dependency relationship) for determination.
If the two indexes do not overlap in concept, the two indexes are retained and then imported to a rule R5 (for judgment of normalization of the index text format) for judgment and adjustment.
R3: determination of whether concepts completely overlap
R4: determination of whether a concept belongs to a dependency
R5: determination of whether a text presentation format is standardized
The method comprises the steps of importing an index set to be selected for application evaluation of the power grid energy storage system into an index selection process, adjusting through power grid energy storage system application evaluation index selection and adjustment rules set by the application, and finally determining an index system for application strategy evaluation of the power grid energy storage system.
After the index adjustment and evaluation system is formed, the selected feasibility evaluation indexes of the power grid energy storage project are analyzed in a content manner, and the meaning and the evaluation standard of each index are determined.
Determination and application of power grid energy storage system evaluation system weight
(1) Method selection for determining weights
When the comprehensive benefit of a power grid energy storage system is evaluated, a plurality of factors need to be considered. Each influencing factor is composed of a number of sub-factors that determine the factor. The method and the standard for evaluation are more logical by layering, ordering and standardizing a plurality of factors, and the application of an analytic hierarchy process is very important. When a part of power grid energy storage systems are constructed by applying an evaluation index system, the evaluation index and the hierarchy thereof are determined by primarily applying the idea of an analytic hierarchy process. And selecting a fuzzy hierarchical analysis method as a method for determining the index weight by combining the comparative research of several weight determination methods which are most commonly used at home and abroad at present.
(2) Setting of evaluation index scoring criteria
And setting a scoring criterion of each evaluation index, combining an application evaluation system and the weight of the power grid energy storage system, calculating the total score of the comprehensive score of the scheme by adopting a weighted average method, and taking the total score as the evaluation standard of the scheme.
Power grid energy storage system application optimization based on rough set
After a power grid energy storage system is used to evaluate a specific project, a power grid authority as a decision-making mechanism needs to select and approve one or a plurality of projects under given resource constraint conditions (such as power grid energy storage projects which can be immediately available in a specific region and a time range according to a plan). Optimization in a plurality of projects is complex work, the influence of factors in various aspects such as economy, environment, technology, social policies and the like is considered, the multi-criterion decision problem with complexity and uncertainty is realized, and a rough set provides a good evaluation and solution idea. In the construction of an index system, the index quantification comprises both qualitative index quantification and quantitative index quantification, namely, an absolute value and a relative value. The research finds that the rough set can solve the inconsistency of index quantification, namely, absolute values and relative values can be adopted for operation in qualitative and quantitative research evaluation, which is an advantage of adopting the rough set. Therefore, the application finally selects a rough set based research method for evaluation.
On the basis of the power grid side energy storage system evaluation method, the invention also provides a power grid side energy storage system evaluation system, which comprises the following steps:
an evaluation index acquisition module: the method comprises the steps of obtaining evaluation indexes used for evaluating the power grid energy storage system from an information source, wherein the information source comprises a network and/or a local file.
A weight determination module: the weight of each evaluation index is calculated by a computer.
An evaluation model establishing module: all sub-indexes in the evaluation indexes are used as an attribute set through a computer, the energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is conducted on the data, an initial information system is built, attribute reduction is conducted on the initial information system, importance and weight of the attributes are calculated, and an evaluation model is obtained.
An evaluation module: and inputting the energy storage technology to be evaluated into the evaluation model by taking the energy storage technology to be evaluated as an object through a computer to obtain an evaluation value of the energy storage technology to be evaluated.
Those skilled in the art will appreciate that, in addition to implementing the system and its various devices, modules, units provided by the present invention as pure computer readable program code, the system and its various devices, modules, units provided by the present invention can be fully implemented by logically programming method steps to implement the same functions in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Therefore, the system and various devices, modules and units thereof provided by the invention can be regarded as a hardware component, and the devices, modules and units included in the system for realizing various functions can also be regarded as structures in the hardware component; means, modules, units for performing the various functions may also be regarded as structures within both software modules and hardware components for performing the method.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.
Claims (10)
1. A power grid side energy storage system evaluation method is characterized by comprising the following steps:
an evaluation index acquisition step: obtaining an evaluation index for evaluating the power grid energy storage system from an information source, wherein the information source comprises a network and/or a local file;
weight determination: calculating the weight of each evaluation index through a computer;
an evaluation model establishing step: all sub-indexes in the evaluation indexes are used as an attribute set through a computer, the energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is carried out on the data, an initial information system is built, attribute reduction is carried out on the initial information system, the importance and the weight of the attributes are calculated, and an evaluation model is obtained;
evaluation step: and inputting the energy storage technology to be evaluated into the evaluation model by taking the energy storage technology to be evaluated as an object through a computer to obtain an evaluation value of the energy storage technology to be evaluated.
2. The grid-side energy storage system evaluation method according to claim 1, wherein the weight determination step includes:
where, ω ({ c)i}) is attribute ciWeight of (c), sig ({ c)i})、sig({cj}) is attribute ci、cjThe importance of (c).
3. The power grid-side energy storage system evaluation method according to claim 1, wherein the evaluation model establishing step includes:
all sub-indexes in the evaluation indexes are used as an attribute set by a computer, an energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is carried out on the data, an initial information system S is constructed, S is (U, C, V, f), U is a non-empty finite set and is called a discourse domain, C is a conditional attribute set,
Vcis the value range of attribute C ∈ C, f: U × A →VcFor a shot, the attribute of any element in the domain of discourse U is assigned an information value, namely x ∈ U,
f(x，c)∈Vcsimplifying the attribute of the initial information system, and calculating the importance and weight of the attribute;
for the reduced initial information system S, the evaluation value of the nth object X is:
wherein, Xn∈U，v(Xn，ci) For the nth object X in attribute ciValue of ω ({ c)i}) is attribute ciThe weight of (c).
4. The method for evaluating the energy storage system on the power grid side according to claim 1, wherein the evaluation index obtaining step further comprises adjusting the selected evaluation indexes, and specifically comprises sequentially judging whether the evaluation indexes are matched, whether the evaluation indexes are conceptually overlapped, whether the evaluation indexes are incompletely overlapped, whether the evaluation indexes are not subordinated, and whether the text formats of the evaluation indexes are normative, and performing corresponding processing according to each judgment.
5. The method for evaluating the power grid-side energy storage system according to claim 4, wherein unmatched evaluation indexes are deleted, one of the evaluation indexes with non-overlapping concepts is reserved, one of the evaluation indexes with completely overlapping concepts is deleted, the lower level of the evaluation indexes with the subordinate relationship is reserved, and the evaluation indexes with irregular character formats are corrected.
6. A power grid side energy storage system evaluation system is characterized by comprising:
an evaluation index acquisition module: obtaining an evaluation index for evaluating the power grid energy storage system from an information source, wherein the information source comprises a network and/or a local file;
a weight determination module: calculating the weight of each evaluation index through a computer;
an evaluation model establishing module: all sub-indexes in the evaluation indexes are used as an attribute set through a computer, the energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is carried out on the data, an initial information system is built, attribute reduction is carried out on the initial information system, the importance and the weight of the attributes are calculated, and an evaluation model is obtained;
an evaluation module: and inputting the energy storage technology to be evaluated into the evaluation model by taking the energy storage technology to be evaluated as an object through a computer to obtain an evaluation value of the energy storage technology to be evaluated.
7. The grid-side energy storage system evaluation architecture of claim 6, wherein the weight determination module comprises:
where, ω ({ c)i}) is attribute ciWeight of (c), sig ({ c)i})、sig({cj}) is attribute ci、cjThe importance of (c).
8. The grid-side energy storage system evaluation system according to claim 6, wherein the evaluation model building module comprises:
all sub-indexes in the evaluation indexes are used as an attribute set by a computer, an energy storage technology is used as an object set, data of each object under each attribute are obtained, discretization processing is carried out on the data, an initial information system S is constructed, S is (U, C, V, f), U is a non-empty finite set and is called a discourse domain, C is a conditional attribute set,
Vcvalue range of attribute C ∈ C, f: U × A → VcIs a single shot, a field of discourseThe attribute of any element in U is assigned an information value, i.e. x ∈ U,
f(x，c)∈Vcsimplifying the attribute of the initial information system, and calculating the importance and weight of the attribute;
for the reduced initial information system S, the evaluation value of the nth object X is:
wherein, Xn∈U，v(Xn，ci) For the nth object X in attribute ciValue of ω ({ c)i}) is attribute ciThe weight of (c).
9. The power grid side energy storage system evaluation system according to claim 6, wherein the evaluation index acquisition module further adjusts the selected evaluation indexes, specifically includes sequentially judging whether the evaluation indexes are matched, whether the evaluation indexes are conceptually overlapped, whether the evaluation indexes are incompletely overlapped, whether the evaluation indexes are not subordinated, and whether the text formats of the evaluation indexes are normative, and respectively making corresponding processing according to each judgment.
10. The grid-side energy storage system evaluation system according to claim 9, wherein unmatched evaluation indexes are deleted, one of the evaluation indexes with non-overlapping concepts is retained, one of the evaluation indexes with completely overlapping concepts is deleted, the subordinate ones of the evaluation indexes with subordinate relationships are retained, and the evaluation indexes with irregular character formats are corrected.
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