Virtual power plant resource flexibility interactive evaluation method and system and related equipment

Abstract

The invention is suitable for the technical field of resource flexibility interaction evaluation, and provides a virtual power plant resource flexibility interaction evaluation method and system and related equipment, and the method comprises the steps: constructing a multi-dimensional evaluation index system of virtual power plant resource flexibility interaction; calculating an initial weight through a subjective and objective combined combination weighting method; analyzing a causal relationship and a mutual influence degree between virtual power plant resource interaction influence factors by utilizing a DEMATEL method, and correcting an initial weight through index centrality obtained by calculation to obtain a comprehensive weight of a virtual power plant resource flexibility interaction evaluation index; building a virtual power plant resource flexibility interaction capability evaluation model according to fuzziness and randomness in a cloud model theory processing qualitative-quantitative evaluation conversion process, and inputting the comprehensive weight into the model; and generating a comprehensive evaluation score of each index, thereby realizing the comprehensive combination of quantitative calculation and qualitative analysis on the interaction flexibility of the heterogeneous resources in the virtual power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of resource flexibility interactive evaluation, and in particular to a virtual power plant resource flexibility interactive evaluation method, system and related equipment. Background Art

[0002] The cloud model is a mapping theory based on probability theory and fuzzy mathematics theory, which is used to realize the uncertainty conversion between qualitative concepts and their quantitative values. DEMATEL (Decision Making Trial and Evaluation Laboratory) is a method of analyzing system elements using graph theory and matrix tools to determine the existence of relationships between elements and their strength evaluation. By constructing a direct influence matrix, the influence, influence, cause and centrality of each factor are calculated to reveal the causal relationship between factors in a complex system and identify key elements.

[0003] As a new type of resource aggregator, virtual power plants can use advanced information and communication technologies and software systems to achieve flexible interaction of multiple types of demand-side distributed resources such as distributed photovoltaics, wind power, energy storage, and flexible loads. The interactive flexibility evaluation of virtual power plant resources needs to consider both the flexibility status of the system at each time node within a certain scheduling cycle and the change process of the system flexibility status within the scheduling cycle. However, there are few evaluation methods that consider the above issues at the same time in existing studies. They fail to fully consider the connection between indicators and the comprehensive impact of indicators on the interactive state of system flexibility, and only consider the fuzziness of evaluation level information, while ignoring the randomness of the evaluator's subjective judgment. Therefore, how to take into account the connection between the interactive evaluation indicators of virtual power plant resources and the comprehensive impact of indicators on the interactive state of system flexibility, and realize a comprehensive and systematic evaluation of the interactive flexibility of heterogeneous resources within virtual power plants by combining quantitative calculation and qualitative analysis has become an urgent problem to be solved. Summary of the invention

[0004] An embodiment of the present application provides a method for interactively evaluating the resource flexibility of a virtual power plant, which is used to achieve a comprehensive and systematic evaluation of the interactive flexibility of heterogeneous resources within a virtual power plant by combining quantitative calculation and qualitative analysis.

[0005] A first aspect of an embodiment of the present application provides a virtual power plant resource flexibility interactive evaluation method, comprising:

[0006] Construct a multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility;

[0007] Calculate the initial weight of each indicator in the multi-dimensional evaluation indicator system by combining subjective and objective combined weighting method;

[0008] The DEMATEL method is used to analyze the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources. The initial weight is corrected by the calculated indicator centrality to obtain the comprehensive weight of the virtual power plant resource flexibility interaction evaluation index.

[0009] According to the cloud model theory, the fuzziness and randomness in the qualitative-quantitative evaluation conversion process are processed to construct a virtual power plant resource flexibility interactive capacity evaluation model, and the comprehensive weight is input into the model;

[0010] Generate a comprehensive evaluation score for each indicator in the multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility.

[0011] Furthermore, the multi-dimensional evaluation index system for constructing the virtual power plant resource flexibility interaction includes the virtual power plant resource flexibility interaction basis and the virtual power plant resource flexibility interaction benefits. The virtual power plant resource flexibility interaction basis includes resource static flexibility indicators and resource dynamic flexibility indicators. The virtual power plant resource flexibility interaction benefits include reliability benefits, economic benefits and interactive benefits.

[0012] Furthermore, the resource static flexibility index includes resource response rate, resource capacity ratio and resource response cost, and the resource dynamic flexibility index includes resource flexibility supply capacity;

[0013] The resource flexibility supply capacity includes the flexibility supply capacity of distributed power sources, the flexibility supply capacity of distributed energy storage and the flexibility supply capacity of distributed loads, and the expression is as follows:

[0014]

[0015] Where: P B , r B They are the upward and downward flexibility supply capacity, output, output upper and lower limits and response rate of distributed power sources. η d , η c 、E i They are the upward and downward flexibility supply capacity of distributed energy storage, the discharge and charging power of energy storage, the maximum discharge and maximum charging power of energy storage, the discharge and charging efficiency of energy storage and the charge of energy storage. P L , They are respectively the upward and downward flexibility supply capacity of distributed loads, the power involved in scheduling, and the total amount that can be dispatched upward and downward.

[0016] Furthermore, the reliability benefits include the maximum load reduction rate of the power grid, the power grid load reduction amount and the maximum peak-to-valley difference reduction rate of the power grid; the economic benefits include the average increase in resource income, the resource unit electricity income and the reduction in pollutant emissions; the interactive benefits include user satisfaction index, distributed power generation penetration rate, distributed energy storage penetration rate and load demand response amount.

[0017] Furthermore, the initial weight of each indicator in the multi-dimensional evaluation indicator system is calculated by the combined weighting method combining subjective and objective factors, including:

[0018]

[0019] Where: They are the subjective and objective weight vectors a+b=1 and a, b>0, They are the initial weights of the first-level indicators, the initial weights of the second-level indicators, and the initial weights of the third-level indicators.

[0020] Furthermore, the DEMATEL method is used to analyze the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources, and the initial weight is corrected by the calculated indicator centrality to obtain the comprehensive weight of the virtual power plant resource flexibility interaction evaluation index, including:

[0021]

[0022] Where: v is the comprehensive weight of the interactive evaluation index of virtual power plant resource flexibility, g v is the indicator centrality, is the initial weight of the indicator.

[0023] Furthermore, the cloud model theory is used to process the fuzziness and randomness in the qualitative-quantitative evaluation conversion process to construct a virtual power plant resource flexibility interactive capability evaluation model, and the comprehensive weight is input into the model, including:

[0024] The evaluation scores are graded according to the flexibility level classification standard, and a standard cloud map is generated based on the classification, as well as the digital characteristics of indicators at each level in the calculation cloud model.

[0025] Furthermore, the digital characteristics of indicators at all levels in the computing cloud model include:

[0026]

[0027]

[0028] Where: Ex v 、En v 、He vare the expectation, entropy and super entropy of the cloud model respectively. v Reflects the distribution center of cloud droplets and significantly characterizes the qualitative-quantitative conversion center. v Characterizes the dispersion degree of cloud droplets, characterizes the fuzziness and randomness of the converted qualitative concepts, He v Characterizes the degree of stability of cloud droplets and the uncertainty of entropy.

[0029] A second aspect of an embodiment of the present application provides a virtual power plant resource flexibility interactive evaluation system, including:

[0030] A multi-dimensional evaluation index system construction unit is used to construct a multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility;

[0031] An initial weight calculation unit, used to calculate the initial weight of each indicator in the multi-dimensional evaluation indicator system by a combined weighting method combining subjective and objective factors;

[0032] A comprehensive weight determination unit is used to analyze the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources by using the DEMATEL method, and to correct the initial weight by using the calculated indicator centrality to obtain the comprehensive weight of the virtual power plant resource flexibility interaction evaluation indicator;

[0033] An evaluation model building unit, used to construct a virtual power plant resource flexibility interactive capability evaluation model based on cloud model theory to handle the fuzziness and randomness in the qualitative-quantitative evaluation conversion process, and input the comprehensive weight into the model;

[0034] The comprehensive evaluation score generation unit is used to generate the comprehensive evaluation score of each indicator in the multi-dimensional evaluation index system of virtual power plant resource flexibility interaction.

[0035] A third aspect of an embodiment of the present application provides a computer device, including a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, wherein when the processor executes the computer-readable instructions, the steps of the virtual power plant resource flexibility interactive assessment method as described in any one of the above are implemented.

[0036] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0037] 1. Aiming at the diversity of demand-side resources and the complexity of their interactive characteristics, the method of the present invention starts from the two dimensions of the interactive basis of virtual power plant resource flexibility and the interactive benefits of virtual power plant resource flexibility, comprehensively considers the significance and influencing factors of each indicator, and constructs a multi-dimensional evaluation index system for the interactive flexibility of virtual power plants.

[0038] 2. The method of the present invention comprehensively considers the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources, combines the combined weighting method combining subjective and objective factors with the DEMATEL method, and obtains the comprehensive influence weight of the virtual power plant resource flexibility interaction evaluation index, thereby improving the credibility and rationality of the evaluation index weight design.

[0039] 3. The method of the present invention takes into account the actual needs of the interactive evaluation of virtual power plant resource flexibility, comprehensively considers the fuzziness of the evaluation grade information and the randomness of the evaluator's subjective judgment, and combines cloud model theory to construct a resource flexibility interactive capability evaluation model, thereby realizing a comprehensive and systematic evaluation of the flexibility interaction of virtual power plant resources that combines quantitative calculation with qualitative analysis. This helps to deeply explore the interactive potential of virtual power plant resources, improve the flexibility and efficiency of resource allocation, and provide a scientific basis for the optimized operation and resource management of virtual power plants.

[0040] Other advantages, objectives, and features of the present invention will be set forth in part in the following description, and in part will be apparent to those skilled in the art based on an examination of the following or may be taught from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of an embodiment of a method for interactively evaluating the resource flexibility of a virtual power plant in the present invention;

[0042] Figure 2 A schematic diagram of an indicator system for an interactive evaluation method for resource flexibility of a virtual power plant in the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0044] In this embodiment, the virtual power plant resource flexibility interactive evaluation method is used to achieve a comprehensive and systematic evaluation of the interactive flexibility of heterogeneous resources within the virtual power plant by combining quantitative calculation and qualitative analysis. The implementation method in this embodiment can be implemented in the system, on the server, or on the terminal, without specific limitation.

[0045] Embodiment 1

[0046] See also Figure 1 The present invention provides a virtual power plant resource flexibility interactive evaluation method comprising the following steps:

[0047] S11. Construct a multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility;

[0048] In this embodiment, in view of the diversity of demand-side resources and the complexity of their interactive characteristics, a multi-dimensional evaluation index system for virtual power plant resource flexibility interaction is constructed from the two dimensions of virtual power plant resource flexibility interaction basis and virtual power plant resource flexibility interaction benefit.

[0049] like Figure 2 As shown in the figure, the multi-dimensional evaluation index system specifically includes the interactive basis of virtual power plant resource flexibility and the interactive benefits of virtual power plant resource flexibility. The interactive basis of virtual power plant resource flexibility includes static resource flexibility index and dynamic resource flexibility index, and the interactive benefits of virtual power plant resource flexibility include reliability benefits, economic benefits and interactive benefits.

[0050] Virtual Power Plant Resource Flexibility Interaction Foundation B 1 The static flexibility index C of resources in 1 It is an inherent response parameter index of multiple types of resources in a virtual power plant before participating in flexibility scheduling interaction. It reflects the flexible supply characteristics of resources and is a key factor in evaluating the participation of multiple types of resources in a virtual power plant in flexibility interaction. It includes resource response rate D 1 , resource capacity ratio D 2 , Resource response cost D 3 In the economic dispatch of distributed resources in virtual power plants, changes in the response rate, installed capacity and response cost of distributed resources will affect the flexible interactive response of virtual power plant resources, and thus affect the dispatch results.

[0051] Virtual Power Plant Resource Flexibility Interaction Foundation B 1 Resource dynamic flexibility index C 2 It is used to evaluate the flexibility supply status of multiple types of resources in the virtual power plant during the flexible scheduling interaction process. It is composed of the third-level indicator resources, namely, resource flexibility supply capacity D 4 Representation. According to different resource types, the flexibility supply capacity of distributed power sources, distributed energy storage and distributed loads on the demand side is considered respectively, which is specifically expressed as:

[0052]

[0053] Where: P B , r B They are the upward and downward flexibility supply capacity, output, output upper and lower limits and response rate of distributed power sources. η d , η c 、Ei They are the upward and downward flexibility supply capacity of distributed energy storage, the discharge and charging power of energy storage, the maximum discharge and maximum charging power of energy storage, the discharge and charging efficiency of energy storage and the charge of energy storage. P L , They are respectively the upward and downward flexibility supply capacity of distributed loads, the power involved in scheduling, and the total amount that can be dispatched upward and downward.

[0054] Virtual power plant resource flexibility interactive benefits B 2 Reliability Benefits in C 3 It is used to measure the benefits of resource flexibility interaction within the virtual power plant in enhancing the security and reliability of the power grid. It includes three third-level indicators, namely, the maximum load reduction rate of the power grid D 5 , Grid load reduction D 6 and the maximum peak-to-valley difference reduction rate of the power grid D 7 , specifically expressed as:

[0055] The maximum load reduction rate of the power grid D 5 It refers to the reduction ratio of the maximum load of the power grid caused by the flexible interaction of multiple types of resources in the virtual power plant; the power grid load reduction amount D 6 It refers to the reduction value of grid load caused by the flexible interaction of multiple types of resources in the virtual power plant; the maximum peak-to-valley difference reduction rate of the grid D 7 It refers to the reduction ratio of the maximum peak-to-valley difference of the power grid caused by the flexible interaction of multiple types of resources in the virtual power plant.

[0056] Virtual power plant resource flexibility interactive benefits B 2 Economic benefits 4 It is used to measure the economic and efficiency improvement and energy-saving and environmental protection benefits brought to various participating entities by the interaction of resource flexibility within the virtual power plant. It includes three third-level indicators, namely, the average increase in resource income D 8 , Resource unit electricity income D 9 and reduction in pollutant emissions D 10 , specifically expressed as:

[0057] Average increase in resource income D 8 It refers to the average added value of the income of multiple types of resources in the virtual power plant due to the participation in flexibility interaction; the unit electricity income of resources D 9 It refers to the unit electricity cost saved or unit electricity revenue obtained by the flexible interaction of multiple types of resources in the virtual power plant; the reduction in pollutant emissions D 10 It refers to the amount of pollutant emissions reduced by the flexible interaction of multiple types of resources within a virtual power plant.

[0058] Virtual power plant resource flexibility interactive benefits B 2Interactive benefits in C 5 It is used to measure the benefits of resource flexibility interaction within the virtual power plant in promoting more friendly interaction among various broad demand-side resources. It includes four third-level indicators, namely the user satisfaction index D 11 , Distributed power penetration rate D 12 , Distributed Energy Storage Penetration Rate D 13 and load demand response D 14 , specifically expressed as:

[0059] User satisfaction index D 11 Refers to the user's satisfaction with electricity consumption in terms of economy and comfort; Distributed power penetration rate D 12 It is the ratio of the sum of the average output power of power resources participating in flexibility interaction in the virtual power plant to the total power of the system load; the distributed energy storage penetration rate D 13 It refers to the ratio of the sum of the maximum output power of the energy storage resources participating in the flexibility interaction in the virtual power plant to the total power of the system load; load demand response quantity D 14 It refers to the responsiveness of load resources within the virtual power plant to participate in flexibility interaction.

[0060] S12. Calculate the initial weight of each indicator in the multi-dimensional evaluation indicator system through a combination weighting method combining subjective and objective factors;

[0061] 1. The initial weight of the indicator is determined by the subjective and objective combined weighting method, which includes the following steps:

[0062] Multiple rounds of expert opinions were collected, and the weights of the indicator system and the flexibility level were determined through questionnaire surveys. min ,ω max ]; according to the formulation of relevant indicators, through indicator data conversion, normalize the indicators with larger values ​​and smaller values, and convert the indicator scores into the resource flexibility interaction effect level classification range through linear mapping:

[0063]

[0064] In the formula, are the normalization processing methods of the indicators where the larger the value, the better and the smaller the value, the better.

[0065] Furthermore, according to the physical meaning and characteristics of the indicators themselves, combined with the actual operation historical data of distributed resources on the demand side, the entropy weight method is used to calculate the objective weight of the indicator system; through the combination of subjective and objective weights, the weighting of the three-level indicators in the indicator system is completed, which is expressed as:

[0066]

[0067] Where: They are the subjective and objective weight vectors a+b=1 and a, b>0 respectively.

[0068] Furthermore, according to the indicator system structure and the calculated initial weights of the three-level indicators, the weights of the second-level and first-level indicators are calculated in turn, expressed as:

[0069]

[0070] Where: They are the initial weights of the first-level indicators, the initial weights of the second-level indicators, and the initial weights of the third-level indicators.

[0071] S13. The DEMATEL method is used to analyze the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources. The initial weight is corrected by the calculated indicator centrality to obtain the comprehensive weight of the virtual power plant resource flexibility interaction evaluation index;

[0072] The opinions of multiple relevant experts were collected in multiple rounds, and the direct impact matrix was independently constructed according to the degree of mutual influence between the indicators. In order to reduce the influence of subjective factors, the evaluation values ​​of all experts were averaged to obtain the total direct impact matrix. It is used to measure the mutual influence between any two indicators v and w, and m is the total number of evaluation indicators.

[0073] Normalize the total direct impact matrix to get the normalized matrix Matrix Elements It is expressed as:

[0074]

[0075] Further, the comprehensive influence matrix H is calculated as follows: vw ) m×m and index centrality g v , expressed as:

[0076]

[0077] Among them, the centrality of the indicator is used to evaluate the position and importance of the indicator in the indicator system.

[0078] Revisions to initial indicator weights:

[0079]

[0080] Where: v is the comprehensive weight of the interactive evaluation index of virtual power plant resource flexibility, g v is the indicator centrality, is the initial weight of the indicator.

[0081] S14. According to the cloud model theory, the fuzziness and randomness in the qualitative-quantitative evaluation conversion process are processed to construct a virtual power plant resource flexibility interactive capacity evaluation model, and the comprehensive weight is input into the model;

[0082] S15. Generate a comprehensive evaluation score for each indicator in the multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility.

[0083] Specifically, based on the flexibility level classification standard, the evaluation score [ω min ,ω max ] are graded, and a standard cloud map is generated based on the classification, as well as the digital characteristics of indicators at each level in the calculation cloud model.

[0084] By collecting the actual operation data of virtual power plant resources for many times to form a sample of a certain scale, the collected samples are positively normalized and linearly mapped according to the allowable range of indicators in actual operation, so that the score falls within [ω min ,ω max ] interval, and calculate the mean and variance of each third-level indicator, which can be expressed as follows:

[0085]

[0086] Furthermore, the digital characteristics of indicators at all levels in the cloud model are calculated.

[0087] The three-level numerical characteristics of indicators in the computing cloud model are as follows:

[0088]

[0089] Where: Ex v 、En v 、He v are the expectation, entropy and super entropy of the cloud model respectively. v Reflects the distribution center of cloud droplets and significantly characterizes the qualitative-quantitative conversion center. v Characterizes the dispersion degree of cloud droplets, characterizes the fuzziness and randomness of the converted qualitative concepts, He v Characterizes the degree of stability of cloud droplets and the uncertainty of entropy.

[0090] Furthermore, the digital characteristics of the comprehensive cloud model of the secondary and primary indicators are calculated through the digital characteristics and weights of the third-level indicators, specifically:

[0091]

[0092] Based on the calculated digital features of the comprehensive cloud models at all levels, the digital features are compared with those of the standard cloud models, and the comprehensive evaluation results of the current virtual power plant resource flexibility interaction are formed by analyzing the distribution concentration and sparseness of the cloud map; Calculate the membership of indicators at all levels, and use the comprehensive impact weight of the indicators ω v With membership u v The weighted product of the index is used to obtain the comprehensive evaluation score of the index.

[0093] Embodiment 2

[0094] An embodiment of a virtual power plant resource flexibility interactive assessment system in the present invention includes the following steps:

[0095] A multi-dimensional evaluation index system construction unit is used to construct a multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility;

[0096] An initial weight calculation unit is used to calculate the initial weight of each indicator in the multi-dimensional evaluation indicator system through a combination weighting method combining subjective and objective factors;

[0097] The comprehensive weight determination unit is used to analyze the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources by using the DEMATEL method, and to correct the initial weight by the calculated indicator centrality to obtain the comprehensive weight of the virtual power plant resource flexibility interaction evaluation index;

[0098] An evaluation model building unit is used to build a virtual power plant resource flexibility interactive capability evaluation model based on cloud model theory to handle the fuzziness and randomness in the qualitative-quantitative evaluation conversion process, and input the comprehensive weight into the model;

[0099] The comprehensive evaluation score generation unit is used to generate the comprehensive evaluation score of each indicator in the multi-dimensional evaluation index system of virtual power plant resource flexibility interaction.

[0100] For the specific definition of the system, please refer to the definition of the method above, which will not be repeated here. Each module in the above system can be implemented in whole or in part by software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0101] Embodiment 3

[0102] The present invention provides a computer device, comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor. When the processor executes the computer-readable instructions, the steps of the above method are implemented.

[0103] Those of ordinary skill in the art will appreciate that the units of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0104] In the embodiments provided by the present invention, it should be understood that the division of units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units can be combined into one unit, one unit can be split into multiple units, or some features can be ignored. In addition, each functional unit in each embodiment of the present invention can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0105] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0106] It can be understood that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A virtual power plant resource flexibility interactive evaluation method, characterized in that: include: Construct a multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility; Calculate the initial weight of each indicator in the multi-dimensional evaluation indicator system by combining subjective and objective combined weighting method; The DEMATEL method is used to analyze the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources. The initial weight is corrected by the calculated indicator centrality to obtain the comprehensive weight of the virtual power plant resource flexibility interaction evaluation index. According to the cloud model theory, the fuzziness and randomness in the qualitative-quantitative evaluation conversion process are processed to construct a virtual power plant resource flexibility interactive capacity evaluation model, and the comprehensive weight is input into the model; Generate a comprehensive evaluation score for each indicator in the multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility.

2. The interactive evaluation method for virtual power plant resource flexibility according to claim 1 is characterized in that: The multi-dimensional evaluation index system for constructing virtual power plant resource flexibility interaction includes a virtual power plant resource flexibility interaction basis and a virtual power plant resource flexibility interaction benefit. The virtual power plant resource flexibility interaction basis includes a resource static flexibility index and a resource dynamic flexibility index. The virtual power plant resource flexibility interaction benefits include reliability benefits, economic benefits and interactive benefits.

3. The interactive evaluation method for virtual power plant resource flexibility according to claim 2 is characterized in that: The resource static flexibility index includes resource response rate, resource capacity ratio and resource response cost, and the resource dynamic flexibility index includes resource flexibility supply capacity; The resource flexibility supply capacity includes the flexibility supply capacity of distributed power sources, the flexibility supply capacity of distributed energy storage and the flexibility supply capacity of distributed loads, and the expression is as follows: Where: P B , r B They are the upward and downward flexibility supply capacity, output, output upper and lower limits and response rate of distributed power sources. η d , η c 、E i They are the upward and downward flexibility supply capacity of distributed energy storage, the discharge and charging power of energy storage, the maximum discharge and maximum charging power of energy storage, the discharge and charging efficiency of energy storage and the charge of energy storage. P L , They are respectively the upward and downward flexibility supply capacity of distributed loads, the power involved in scheduling, and the total amount that can be dispatched upward and downward.

4. The method for interactively evaluating the resource flexibility of a virtual power plant according to claim 1, characterized in that: The reliability benefits include the maximum load reduction rate of the power grid, the power grid load reduction amount and the maximum peak-to-valley difference reduction rate of the power grid; the economic benefits include the average increase in resource income, the resource unit electricity income and the reduction in pollutant emissions; the interactive benefits include user satisfaction index, distributed power generation penetration rate, distributed energy storage penetration rate and load demand response amount.

5. The method for interactively evaluating the resource flexibility of a virtual power plant according to claim 1, characterized in that: The initial weight of each indicator in the multi-dimensional evaluation indicator system is calculated by the combined weighting method combining subjective and objective factors, including: Where: They are the subjective and objective weight vectors a+b=1 and ab>0, They are the initial weights of the first-level indicators, the initial weights of the second-level indicators, and the initial weights of the third-level indicators.

6. The method for interactively evaluating the resource flexibility of a virtual power plant according to claim 1, characterized in that: The DEMATEL method is used to analyze the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources, and the initial weight is corrected by the calculated indicator centrality to obtain the comprehensive weight of the virtual power plant resource flexibility interaction evaluation index, including: Revisions to initial indicator weights: Where: v is the comprehensive weight of the interactive evaluation index of virtual power plant resource flexibility, g v is the indicator centrality, is the initial weight of the indicator.

7. The interactive evaluation method for virtual power plant resource flexibility according to claim 1, characterized in that: The method of constructing a virtual power plant resource flexibility interactive capability evaluation model based on the cloud model theory to process the fuzziness and randomness in the qualitative-quantitative evaluation conversion process, and inputting the comprehensive weight into the model, includes: The evaluation scores are graded according to the flexibility level classification standard, and a standard cloud map is generated based on the classification, as well as the digital characteristics of indicators at each level in the calculation cloud model.

8. The interactive evaluation method for virtual power plant resource flexibility according to claim 7 is characterized in that: The digital characteristics of indicators at all levels in the computing cloud model include: Where: Ex v 、En v 、He v are the expectation, entropy and super entropy of the cloud model, Ex v Reflects the distribution center of cloud droplets and significantly characterizes the qualitative-quantitative conversion center. v Characterizes the dispersion degree of cloud droplets, characterizes the fuzziness and randomness of the converted qualitative concepts, He v Characterizes the degree of stability of cloud droplets and the uncertainty of entropy.

9. A virtual power plant resource flexibility interactive evaluation system, characterized in that: include: A multi-dimensional evaluation index system construction unit is used to construct a multi-dimensional evaluation index system for the interaction of virtual power plant resource flexibility; An initial weight calculation unit, used to calculate the initial weight of each indicator in the multi-dimensional evaluation indicator system by a combined weighting method combining subjective and objective factors; A comprehensive weight determination unit is used to analyze the causal relationship and mutual influence degree between the factors affecting the interaction of virtual power plant resources by using the DEMATEL method, and to correct the initial weight by using the calculated indicator centrality to obtain the comprehensive weight of the virtual power plant resource flexibility interaction evaluation indicator; An evaluation model building unit, used to construct a virtual power plant resource flexibility interactive capability evaluation model based on the cloud model theory to handle the fuzziness and randomness in the qualitative-quantitative evaluation conversion process, and input the comprehensive weight into the model; The comprehensive evaluation score generation unit is used to generate the comprehensive evaluation score of each indicator in the multi-dimensional evaluation index system of virtual power plant resource flexibility interaction.

10. A computer device comprising a memory, a processor, and computer-readable instructions stored in the memory and executable on the processor, characterized in that: When the processor executes the computer-readable instructions, it implements the steps of the virtual power plant resource flexibility interactive evaluation method as described in any one of claims 1 to 8.

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