Comparative analysis and evaluation method and system for multiple virtual power plants

Abstract

The invention relates to the technical field of virtual power plant management systems, in particular to a multi-virtual power plant comparative analysis and evaluation method and system, and aims to realize multi-dimensional comparative analysis by establishing a basic principle of a comprehensive performance evaluation index system and performing performance evaluation on virtual power plants by adopting an analytic hierarchy process. Based on the principles of purposiveness, completeness, operability, independence and the like, a comprehensive performance evaluation system including aggregation response performance, optimization scheduling performance and reliability performance is constructed, and the comprehensive performance of the virtual power plant can be comprehensively and accurately reflected. Through evaluation, the system can discover the advantages and deficiencies of different virtual power plants, provides a reference basis and targeted improvement suggestions for decision makers, and improves the market competitiveness of the virtual power plants. The system also screens out benchmark virtual power plants with excellent performance for demonstration application, promotes technical innovation and industry progress of the virtual power plants, verifies feasibility and advantages, and lays a foundation for popularization and application of the virtual power plants.

Description

Technical Field

[0001] The present invention relates to the technical field of virtual power plant management systems, and in particular to a method and system for comparative analysis and evaluation of multiple virtual power plants. Background Art

[0003] It can be seen that virtual power plants have gradually become an important tool for my country to build a new power system and implement the dual-carbon strategy. In a diversified power market environment, there are many virtual power plant resources in the power grid. Virtual power plants with different spatiotemporal characteristics also show different response characteristics to the power grid, and have an impact on regional power grids at different times and spaces, making power grid dispatch more complicated. Different virtual power plants have differences and uncertainties in technology, operational efficiency, aggregate response performance, power supply, and optimized dispatch performance. Therefore, it is particularly important to understand the characteristics and potential of different virtual power plants in real scenarios and select virtual power plant benchmarks through comparative analysis of multiple virtual power plants.

[0004] In view of the above problems, the present invention proposes a comparative analysis and evaluation system for multiple virtual power plants, which constructs a comprehensive performance evaluation index system for multiple virtual power plants based on basic principles such as purpose, completeness, operability, and independence, and conducts comparative analysis and comprehensive evaluation of the comprehensive performance of virtual power plants from indicators such as virtual power plant aggregation response capability, optimized scheduling performance, and reliability performance, accurately identifying the advantages and disadvantages of different virtual power plants in resource allocation, thereby guiding the optimal allocation of resources and improving energy utilization efficiency and economy. Summary of the invention

[0005] In view of the above problems existing in the prior art, the present invention is proposed.

[0006] Therefore, the technical problem to be solved by the present invention is: to provide a comparative analysis and evaluation system for multiple virtual power plants, to compare and analyze multiple virtual power plants through systematic comprehensive performance comparison, multi-dimensional core performance evaluation, benchmark virtual power plant selection and other means, to improve the operating efficiency of virtual power plants, and to promote the efficient, sustainable operation and technological innovation of multiple virtual power plants. First, an index system for comprehensive performance evaluation of multiple virtual power plants is constructed based on the resource aggregation response performance, optimized scheduling performance and reliable performance of virtual power plants, to achieve a comprehensive, systematic and refined evaluation of the comprehensive performance of virtual power plants, to further promote the long-term healthy development of virtual power plants, and to provide strong decision-making support for the strategy formulation, performance optimization and market competitiveness of virtual power plants; secondly, to select the best virtual power plant benchmarks, to promote the demonstration application of benchmark virtual power plants, and to provide experience support for the construction and operation of other virtual power plants, in order to drive the improvement of the overall efficiency of multiple virtual power plants and promote the intelligent and efficient development of the energy industry.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions, a method for comparative analysis and evaluation of multiple virtual power plants, comprising: establishing the principles of a comprehensive performance evaluation index system for multiple virtual power plants; constructing a comprehensive performance evaluation index system for multiple virtual power plants; applying the hierarchical analysis method to conduct a comprehensive performance evaluation of virtual power plants; and selecting benchmark virtual power plants for demonstration applications.

[0008] As a preferred scheme of the comparative analysis and evaluation method of multiple virtual power plants described in the present invention, the evaluation index system includes the principles of the comprehensive performance evaluation index system of virtual power plants, and when constructing the comprehensive performance evaluation system of virtual power plants, analysis and design are carried out from the aspect of integrated performance.

[0009] As a preferred solution of the method for comparative analysis and evaluation of multiple virtual power plants described in the present invention, the comprehensive performance evaluation index system includes evaluating the operating results of virtual power plants, and realizing management and comparative analysis of the performance of multiple virtual power plants according to business categories.

[0010] As a preferred solution of the method for comparative analysis and evaluation of multiple virtual power plants described in the present invention, the comprehensive performance evaluation includes using a hierarchical analysis method to derive a comprehensive performance score of the virtual power plant based on key indicators of the virtual power plant.

[0011] As a preferred solution of the method for comparative analysis and evaluation of multiple virtual power plants described in the present invention, the screening of benchmark virtual power plants includes defining a comprehensive performance score based on the comprehensive performance score of the virtual power plant to obtain a benchmark virtual power plant.

[0012] As a preferred scheme of the comparative analysis and evaluation method of multiple virtual power plants described in the present invention, the principles of the comprehensive performance evaluation index system of virtual power plants include the principle of purpose, the principle of completeness, the principle of operability, the principle of independence, the principle of significance and the basic principle of dynamics.

[0013] As a preferred solution of the comparative analysis and evaluation method of multiple virtual power plants described in the present invention, the comprehensive performance evaluation index system for constructing multiple virtual power plants includes resource aggregation response performance evaluation, optimization scheduling performance evaluation and reliability performance evaluation.

[0014] Another object of the present invention is to provide a comparative analysis and evaluation system for multiple virtual power plants, which screens out benchmark virtual power plants with the best comprehensive performance and promotes their demonstration applications within the industry, so as to improve the overall operational efficiency and technological innovation capabilities of virtual power plants.

[0015] In order to solve the above technical problems, the present invention provides the following technical solutions: a multi-virtual power plant comparison analysis and evaluation system, comprising: a principle establishment module, an indicator system module, a performance evaluation module and a benchmark screening module;

[0016] The said principles establish a module to establish the principles of a comprehensive performance evaluation index system for multiple virtual power plants;

[0017] The index system module constructs a comprehensive performance evaluation index system for multiple virtual power plants;

[0018] The performance evaluation module uses the analytic hierarchy process to conduct a comprehensive performance evaluation of the virtual power plant;

[0019] The benchmark screening module screens benchmark virtual power plants for demonstration applications.

[0020] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and wherein the processor implements the steps of a method for comparative analysis and evaluation of multiple virtual power plants as described above when executing the computer program.

[0021] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of a multi-virtual power plant comparative analysis and evaluation method as described above are implemented.

[0022] Beneficial effects of the present invention: The present invention is a comparative analysis and evaluation system for multiple virtual power plants. Based on the basic principles of purpose, completeness, operability, independence, etc., a comprehensive performance evaluation index system for multiple virtual power plants is constructed, aiming to achieve comparative analysis and evaluation of different virtual power plants in multiple dimensions. The evaluation index system comprehensively considers the core performance of virtual power plants such as virtual power plant aggregation response performance, optimized scheduling performance, and reliability performance, and can more comprehensively and accurately reflect the comprehensive performance of virtual power plants. Through comparative analysis and evaluation, the present invention can find the advantages and disadvantages of different virtual power plants in various aspects, thereby providing a strong reference basis for decision makers. At the same time, the system can also propose targeted improvement suggestions and optimization plans based on the evaluation results to help virtual power plants improve their comprehensive performance and market competitiveness. In addition, by calculating the comprehensive performance score of virtual power plants, selecting benchmark virtual power plants and carrying out demonstration applications, the innovation and development of virtual power plant technology can be further promoted. The selection of benchmark virtual power plants can not only provide advanced experience and technical means for reference for other virtual power plants, but also stimulate more innovation and competitive vitality in the industry, and promote the progress of the entire virtual power plant industry. At the same time, the demonstration application can further verify and demonstrate the feasibility and advantages of virtual power plant technology, laying a solid foundation for the promotion and application of virtual power plants. Through the research on the comparative analysis and evaluation system of multiple virtual power plants, the performance and resource allocation of different virtual power plants can be evaluated, power resources can be allocated more reasonably, and energy utilization efficiency can be improved, which will help power grid operators better understand and predict the supply and demand relationship, thereby effectively dispatching and managing the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0024] Figure 1 A diagram showing the basic principles for constructing an evaluation index system for a method for comparative analysis and evaluation of multiple virtual power plants provided by an embodiment of the present invention.

[0025] Figure 2 A technical roadmap for a comparative analysis and evaluation method of multiple virtual power plants is provided for one embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0027] Example 1, reference Figure 1 , is an embodiment of the present invention, which provides a method for comparative analysis and evaluation of multiple virtual power plants, including:

[0028] The principles for establishing a comprehensive performance evaluation index system for multiple virtual power plants should follow the principles of purpose, completeness, operability, independence, significance, and dynamism to ensure the scientificity and practicality of the evaluation system. Figure 1 As shown;

[0029] Purposefulness principle: The constructed comprehensive performance evaluation index system of the virtual power plant should be able to reflect the purpose of the evaluation and accurately characterize the operating performance of the virtual power plant.

[0030] Completeness principle: The proposed indicator system should cover all aspects of the evaluation objectives and describe in detail the various characteristics of the evaluation object.

[0031] Operability principle: All indicators in the system should be observable and measurable, which is critical to obtaining evaluation results and is also a major basis for verifying whether the indicators are feasible.

[0032] Principle of independence: Overlap and intersection between indicators should be avoided as much as possible, and each indicator can independently reflect a specific characteristic of the evaluation object.

[0033] Principle of significance: If it is difficult to strictly comply with the principles of completeness and independence in actual operations, the proposed indicator system should at least provide the main indicators that can reflect the main characteristics of the evaluation object.

[0034] Dynamic principle: When the evaluation object changes with the external environment, the evaluation system should also be adjusted accordingly; with the maturity of virtual power plant technology and the improvement of market mechanisms in the future, the evaluation indicators should also be updated.

[0035] Construct a comprehensive performance evaluation index system for multiple virtual power plants. By comprehensively considering the resource aggregation performance, optimization scheduling performance, and safety performance of virtual power plants, a scientific and systematic comprehensive performance evaluation index system for multiple virtual power plants is established (as shown in Table 1 below), which also includes resource aggregation response performance evaluation, optimization scheduling performance evaluation, and reliability performance evaluation;

[0036] Among them, the resource aggregation response performance evaluation is a quantitative analysis of the overall performance of distributed energy resources after aggregation in the virtual power plant (VPP). It can be evaluated from several aspects: the interconnection line power baseline, the upper and lower limits of the interconnection line power, the upper and lower limits of the VPP ramp rate, and the VPP response time.

[0037] The interconnection line power baseline refers to the expected curve of interconnection line power when there is no regulation demand. It is calculated through day-ahead optimization scheduling with the goal of minimizing total cost, and reflects the power exchange between the VPP and the grid under normal operation.

[0038] The upper and lower limits of the interconnection line power represent the maximum and minimum values ​​that the interconnection line power can reach at a specific moment, define the feasible operating domain of the interconnection line power, and reflect the maximum and minimum power fluctuation range that the VPP can withstand within a specific time period. By setting reasonable upper and lower limits, it is ensured that the VPP will not cause impact on the power grid or affect the stability of the power system due to excessive power fluctuations during the resource aggregation process.

[0039] The upper and lower limits of the VPP ramp rate refer to the maximum capacity of the virtual power plant to increase or decrease output power from the current moment to the next moment during operation, reflecting the response rate of the VPP to the grid regulation needs. The ramp rate represents the ability of the VPP to increase or decrease output power in a short period of time.

[0040] VPP response time refers to the shortest time required for the virtual power plant to meet the regulation requirements after receiving the regulation instruction. It is an important indicator for evaluating the VPP regulation capability and timeliness. A shorter response time means that the VPP can respond to the dispatching needs of the power system more quickly, thereby improving the overall operating efficiency of the power system.

[0041] The optimization scheduling performance evaluation includes four aspects: peak-to-valley difference, control rate, control accuracy and control qualification rate;

[0042] The peak-to-valley difference regulation refers to the energy loss caused by the mismatch between the output power and the load demand when the virtual power plant is adjusted through load aggregators during the peak and valley periods of the power system's load. The unit is kW. The smaller the peak-to-valley difference regulation, the better the virtual power plant can smooth the peak-to-valley difference of the power grid through load aggregation and coordinated control during peak and valley periods of load, thereby improving the stability and reliability of the power system.

[0043] The regulation rate refers to the average rate of change of power during the load increase and decrease phases. A high regulation rate means that the power grid can respond quickly to load increases and decreases by adjusting power generation or through flexible scheduling of the transmission network to meet sudden changes in power demand.

[0044] The regulation accuracy rate refers to the error rate between the actual power output and the target power after the virtual power plant aggregates and coordinates various distributed energy sources through load aggregators. This indicator is used to objectively measure the accuracy of load adjustment and control demonstrated by the virtual power plant in the power system regulation process.

[0045] The regulation pass rate refers to the success rate at which the virtual power plant can effectively execute and successfully complete the corresponding regulation tasks after receiving the regulation instructions from the power system, and thus achieve the predetermined goals. It reflects the stability and reliability of the virtual power plant during the regulation process.

[0046] Reliability performance evaluation is mainly based on three key dimensions: the probability of insufficient power, the expected value of insufficient power, and power supply stability. These three indicators comprehensively reflect the reliability performance of the virtual power plant in power supply and provide an important reference for the operation and management of the power plant.

[0047] The probability of insufficient power, also known as the probability of load loss, refers to the probability of time when the available capacity of the virtual power plant cannot effectively meet the annual maximum load demand during operation.

[0048] The expected value of power shortage refers to the average value of power loss caused by load power outage events due to insufficient power supply capacity to meet load demand within a specific time range.

[0049] Power supply stability refers to the number of failures and outages that occur in distributed power sources and energy storage equipment during the statistical period. If the number of outages is smaller, the stability is higher, which in turn reflects that the member has better reliability performance in the power supply system.

[0050] Table 1 Comprehensive performance evaluation index system of multiple virtual power plants

[0051]

[0052]

[0053] The comprehensive performance evaluation of virtual power plants is carried out. According to the aggregation response capability, power supply reliability and dispatch performance indicators of virtual power plants, the performance of multiple virtual power plants is comprehensively evaluated by using the analytic hierarchy process. The judgment matrix is ​​constructed and the corresponding weights of each indicator are calculated by the square root method. Then, the comprehensive performance score is calculated based on the weights of each indicator and the indicator score obtained by constructing the comprehensive performance evaluation indicator system of multiple virtual power plants (after standardization).

[0054] Benchmark virtual power plant selection, based on the comprehensive performance score of the virtual power plant V total Select benchmark virtual power plants and define the comprehensive performance score V total The virtual power plants with the top three scores are benchmark virtual power plants. We will carry out application demonstration work, promote the excellent practical experience of benchmark virtual power plants, stimulate innovation within the industry, and promote the research and development and application of new technologies.

[0055] Example 2, reference Figure 2 , is an embodiment of the present invention, which provides a method for comparative analysis and evaluation of multiple virtual power plants, including:

[0056] like Figure 2 As shown in the figure, it is the technical roadmap of the present invention. First, based on the core principles of purpose, completeness, operability and independence, the operation effect and comprehensive performance of multiple virtual power plants are deeply analyzed. On this basis, starting from the three key dimensions of resource aggregation performance, optimization scheduling performance and reliability performance of virtual power plants, a comprehensive and systematic comprehensive performance evaluation index system for multiple virtual power plants is constructed. For these indicators, corresponding performance calculation models are established to ensure the accuracy and scientificity of the evaluation results. Subsequently, a hierarchical analysis method is used to construct a comprehensive performance evaluation model for virtual power plants. The comprehensive performance scores of each virtual power plant are calculated through the model, and the benchmark virtual power plants with the most outstanding comprehensive performance are further selected, and their demonstration applications are promoted to give full play to their leading and driving role in improving the overall performance of multiple virtual power plants.

[0057] Figure 2 As shown in S2, the resource aggregation response performance evaluation in the comprehensive performance evaluation index system of multiple virtual power plants includes:

[0058] The resource aggregation performance within the VPP can be evaluated from the following aspects: the tie line power baseline, tie line power upper and lower limits, VPP ramp rate upper and lower limits, and VPP response time. The specific definitions, objective functions, and some constraints of each aggregation response capability indicator are as follows:

[0059] The tie line power baseline, i.e. the power curve of the tie line when there is no response demand, is calculated based on the day-ahead optimization scheduling results with the goal of minimizing the total cost. The objective function is as follows

[0060]

[0061] Where: ψ is the set of operating moments, taking 1d, that is, 24 moments; S is the set of all devices (including temperature control load); i is the device number; P i (t) is the power emitted by device i at time t; P tie (t) is the interconnection line power at time t, with the positive direction being the power flowing from the upper power grid into VPP; c i (P i (t)) is the cost function of device t at time t; c tie (t) is the electricity purchase price of the interconnection line at time t.

[0062] The upper and lower limits of the tie line power, that is, the maximum and minimum values ​​that the tie line power can reach at time t;

[0063] The objective function is as follows:

[0064] maxP tie (t) t∈ψ

[0065] minP tie (t) t∈ψ

[0066] The upper and lower limits of the VPP ramp rate, that is, the maximum value of the output power increase or decrease from the current time t to the next time t+1 when running at the power baseline;

[0067] The objective function is as follows:

[0068]

[0069]

[0070] At the same time, this objective function has the following constraints:

[0071] X(t)=X base (t)

[0072] Where: P i (t+1) is the power generated by device i at time t+1, X(t) is the decision variable matrix at time t, including the output of each device, the water storage capacity of the hydropower station, the energy stored in the energy storage system, etc.; X base (t) is the matrix of the values ​​of the decision variables on the baseline at time t.

[0073] VPP response time That is, when the power baseline is running, the adjustment command is received at time t, and the adjustment is completed in the shortest time at time The total power of all resources reaches the change AP required by the regulation instruction;

[0074] The objective function is as follows:

[0075]

[0076] Where: S ΔP is a set of AP values ​​at equal intervals; m is the time traversed in the summation formula; v ΔP，m It is a 0-1 variable, which indicates whether the AP meets the regulation instruction requirements at time m. If not, it is 1, otherwise it is 0.

[0077] At the same time, this objective function has the following constraints:

[0078] X(t)=X base (t)

[0079] Figure 2 As shown in S2, the optimization scheduling performance evaluation in the comprehensive performance evaluation index system of multiple virtual power plants includes:

[0080] The optimization scheduling performance of the virtual power plant can be evaluated from four aspects: control peak-to-valley difference, control rate, control accuracy, and control qualification rate.

[0081] Regulating peak-to-valley differences:

[0082] Refers to the power loss caused by the mismatch between the output power and the load demand during the peak and valley periods of the power system when the virtual power plant is regulated by the load aggregator, in kW. The smaller the peak-valley difference, the better the virtual power plant can smooth the peak-valley difference of the power grid through load aggregation and coordinated control during peak and valley periods, thereby improving the stability and reliability of the power system.

[0083] D PVD =max(P t )-min(P t )

[0084] P t =P w，t +P pv，t +P sh，t +P es,t

[0085] Among them, D PVD is the peak-to-valley difference of regulation; t is the output of the virtual power plant at time t; max(P t )、min(P t ) are the virtual power plant outputs at load peak and load valley times, respectively. When the virtual power plant adopts a certain internal control strategy, the output is the regulated output. w,t , Ppv，t , P sh,t are the actual outputs of wind power, photovoltaic power and small hydropower at time t under certain control strategies; P es,t P is the charge and discharge amount of the energy storage device at time t, which is positive when discharging and negative when charging. t is the power at time t.

[0086] Control rate:

[0087] It refers to the average value of the rate of change of power during the load increase and decrease stages.

[0088]

[0089] Where: Δt1 is the time taken by the user from the start of peak load regulation to the average value of 80% of the actual peak load; Δt2 is the time taken by the user from the end of peak load regulation to the average value of 20% of the actual peak load; They are 80% and 20% of the average actual peak load of resource i on day s, respectively; are the load values ​​of the peak load start and stop time of resource i on the sth day, and N is the total number of evaluation time periods.

[0090] Control accuracy:

[0091] Refers to the error rate between the actual output power and the target power after the virtual power plant aggregates and coordinates various distributed energy sources through load aggregators. It reflects the accuracy of the virtual power plant's adjustment and control of the load during the regulation of the power system.

[0092]

[0093] Where D A It is the control accuracy; is the actual output of the virtual power plant at time t; P t is the output of the virtual power plant at time t; N is the total number of evaluation periods; C ap Start-up capacity for virtual power plants.

[0094] Regulation pass rate:

[0095] It refers to the success rate of the virtual power plant in successfully completing the corresponding regulation tasks and achieving the predetermined goals after receiving the regulation instructions from the power system.

[0096]

[0097]

[0098] Where: D QR is the qualified rate of regulation in the total evaluation period; N is the total number of evaluation periods; Bj It indicates the qualified status of regulation in each time period, qualified is 1, unqualified is 0; A is the judgment standard of qualified regulation, and its value is determined according to the scheduling requirements.

[0099] Figure 2 As shown in S2, the reliability performance evaluation in the comprehensive performance evaluation index system of multiple virtual power plants includes:

[0100] The reliability performance of virtual power plants can be evaluated from three aspects: the probability of power shortage time, the expected value of power shortage, and the power supply stability.

[0101] Low battery time probability:

[0102] Also known as the load loss probability, it refers to the time probability that the available capacity of the virtual power plant cannot meet the annual maximum load demand.

[0103]

[0104] Where: L OLP is the probability of insufficient power; N is the total evaluation period of reliability evaluation; N d is the number of times the virtual power plant is in a state of incomplete response to dispatch demand in the total evaluation period T; D dk is the duration of the kth non-complete response dispatch demand state during the virtual power plant's participation in the active power dispatch of the power grid.

[0105] Low battery expectation:

[0106] Refers to the average amount of power loss caused by load power outage due to insufficient power supply within a certain period of time, measured in kWh.

[0107]

[0108] Where: E ENS is the expected value of insufficient power; η K is the response degree of the kth non-complete response scheduling demand state; P F Contribute to prediction; D d1k is the duration of the kth partial response dispatch demand state during the virtual power plant's participation in the grid active dispatch; D d2k is the duration of the kth state that cannot respond to scheduling demand, and N is the total evaluation period.

[0109] Power supply stability:

[0110] Refers to the number of outages due to failures of distributed power sources and energy storage devices during the statistical period. The fewer the outages, the higher the stability, indicating that the member has a higher power supply reliability in the system.

[0111] Example 3, reference Figure 2One embodiment of the present invention provides a method for comparative analysis and evaluation of multiple virtual power plants, comprising:

[0112] Figure 2 As shown in S3, for the comprehensive performance evaluation of multiple virtual power plants, all evaluation indicators of the index system are selected, including resource aggregation response capability, power supply reliability, and scheduling performance indicators, and the hierarchical analysis method is used to comprehensively evaluate the performance of multiple virtual power plants.

[0113] The comprehensive performance evaluation index system of multiple virtual power plants has a hierarchical structure. To obtain the weight of each index, the importance of the indexes at the same level is firstly described quantitatively through pairwise comparison. Secondly, the weights reflecting the relative importance of the indexes at each level are calculated by mathematical methods, and the total ranking weight of all the indexes at the lowest level is calculated by multiplying the weights between the levels. Then, the comprehensive performance score is calculated based on the weights and the index scores obtained by constructing the comprehensive performance evaluation index system of multiple virtual power plants, as follows:

[0114] Construct a judgment matrix:

[0115] Suppose a certain layer of indicators is F = P1, P2, ..., P n , to obtain the weight vector of the index W = w1, w2, ..., w n , first construct the judgment matrix. Use g xv =μ x / μ y Indicates the index and P x and P y , the importance of the upper layer index F, x, y∈{l, 2, ..., n}. g xy The value of is expressed by the AHP scale. Construct the judgment matrix G = (g xy ) n×n , g xy >0.

[0116] Weight calculation:

[0117] After constructing the judgment matrix, the normalized eigenvector W = w1, w2, ..., w is calculated using the square root method. n .

[0118] Calculate the product of each row of the judgment matrix:

[0119]

[0120] Calculate G x The nth root of

[0121]

[0122] Pair Vector Perform normalization:

[0123]

[0124] The obtained W = w1, w2, ..., w n That is, the weight vector of the indicators at this level. After obtaining the weight vectors of indicators at each level, the total ranking weight of all indicators at the lowest level can be calculated.

[0125] Consistency check:

[0126] The consistency check is used to ensure the rationality of the judgment matrix and the consistency of the decision. The steps are as follows.

[0127] According to the weights W of each indicator obtained above, the maximum eigenvalue of the judgment matrix is ​​calculated:

[0128]

[0129] Where n is the order of the judgment matrix G, (GW) x It is the column vector of the product of the judgment matrix and the weight.

[0130] From this, the consistency index CI is calculated:

[0131]

[0132] When CI=0, the consistency of the judgment matrix is ​​the highest. When CI is larger, the consistency is worse.

[0133] Further calculate the consistency ratio CR:

[0134] CR=CI / RI

[0135] Among them, the evaluation random consistency index RI can be directly searched. Generally speaking, when CR≤0.1, the consistency of the judgment matrix meets the requirements; when CR>0.1, there is a logical error, and re-scoring is required to correct the judgment matrix.

[0136] Indicator calculation:

[0137] According to the actual situation of the evaluated system, each indicator is scored originally. The indicators are divided into positive indicators (the larger the indicator value, the better the overall performance of the virtual power plant) and negative indicators (the larger the indicator value, the worse the performance of the virtual power plant). Define indicator variable I x , I x =1 means the xth indicator is a positive indicator, I x =0 means the xth indicator is a reverse indicator. The indicator score is recorded as V = v1, v2, ..., v n , the formula is as follows:

[0138]

[0139] Where: V raw，x is the original score of the xth indicator; V raw，x is the reference value (full score) of the xth indicator. x It is the indicator score after calculating the weight.

[0140] Comprehensive performance score V total calculate:

[0141] The larger the comprehensive performance score (out of 100 points), the stronger the comprehensive performance of the virtual power plant.

[0142]

[0143] Where: W x is the weight of the xth indicator, V x is the standard score value of the xth indicator.

[0144] Figure 2 As shown in S4, the benchmark virtual power plant selection is based on the comprehensive performance score V calculated by the comprehensive performance evaluation of multiple virtual power plants. total Evaluation of benchmark virtual power plants, comprehensive performance score V total The virtual power plants with the top three scores are benchmark virtual power plants. After the selection of the benchmark virtual power plants, we will carry out benchmark virtual power plant application demonstration work to promote the excellent practical experience of the benchmark virtual power plants and provide reference and guidance for the construction and operation of other virtual power plants.

[0145] The above is a schematic scheme of a method for comparative analysis and evaluation of multiple virtual power plants in this embodiment. It should be noted that the technical scheme of the system of the method for comparative analysis and evaluation of multiple virtual power plants and the technical scheme of the above-mentioned method for comparative analysis and evaluation of multiple virtual power plants belong to the same concept. For details not described in detail in the technical scheme of the system for comparative analysis and evaluation of multiple virtual power plants in this embodiment, please refer to the description of the technical scheme of the above-mentioned method for comparative analysis and evaluation of multiple virtual power plants.

[0146] Embodiment 4 is an embodiment of the present invention, which provides a system for comparative analysis and evaluation of multiple virtual power plants, including: a principle establishment module, an indicator system module, a performance evaluation module and a benchmark screening module;

[0147] The said principles establish a module to establish the principles of a comprehensive performance evaluation index system for multiple virtual power plants;

[0148] The index system module constructs a comprehensive performance evaluation index system for multiple virtual power plants;

[0149] The performance evaluation module uses the analytic hierarchy process to conduct a comprehensive performance evaluation of the virtual power plant;

[0150] The benchmark screening module screens benchmark virtual power plants for demonstration applications.

[0151] This embodiment further provides a computing device applicable to a method for comparative analysis and evaluation of multiple virtual power plants, including:

[0152] A memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement a method for comparative analysis and evaluation of multiple virtual power plants as proposed in the above embodiment.

[0153] This embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, a comparative analysis and evaluation method for multiple virtual power plants as proposed in the above embodiment is implemented.

[0154] The storage medium proposed in this embodiment and the multi-virtual power plant comparative analysis and evaluation method proposed in the above embodiment belong to the same inventive concept. The technical details not fully described in this embodiment can be referred to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0155] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including 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 methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0156] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0157] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0158] It should be noted 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A comparative analysis and evaluation method for multiple virtual power plants, characterized by: include: Establish the principles of comprehensive performance evaluation index system for multiple virtual power plants; Construct a comprehensive performance evaluation index system for multiple virtual power plants; Applying the analytic hierarchy process to conduct comprehensive performance evaluation of virtual power plants; Select benchmark virtual power plants for demonstration applications.

2. A method for comparative analysis and evaluation of multiple virtual power plants according to claim 1, characterized in that: The evaluation index system includes principles based on the comprehensive performance evaluation index system of virtual power plants, and when constructing the comprehensive performance evaluation system of virtual power plants, analysis and design are performed from the perspective of integrated performance.

3. A method for comparative analysis and evaluation of multiple virtual power plants according to claim 2, characterized in that: The comprehensive performance evaluation index system includes an evaluation of the operating effectiveness of virtual power plants, and realizes management and comparative analysis of the performance of multiple virtual power plants according to business categories.

4. A method for comparative analysis and evaluation of multiple virtual power plants as claimed in claim 3, characterized in that: The comprehensive performance evaluation includes obtaining a comprehensive performance score of the virtual power plant by using a hierarchical analysis method based on key indicators of the virtual power plant.

5. A method for comparative analysis and evaluation of multiple virtual power plants according to claim 4, characterized in that: The screening of benchmark virtual power plants includes defining a comprehensive performance score based on a comprehensive performance score of the virtual power plant to obtain a benchmark virtual power plant.

6. A method for comparative analysis and evaluation of multiple virtual power plants according to claim 5, characterized in that: The principles of the virtual power plant comprehensive performance evaluation index system include the purpose principle, completeness principle, operability principle, independence principle, significance principle and dynamic basic principle.

7. A method for comparative analysis and evaluation of multiple virtual power plants according to claim 6, characterized in that: The comprehensive performance evaluation index system for constructing multiple virtual power plants includes resource aggregation response performance evaluation, optimization scheduling performance evaluation and reliability performance evaluation.

8. A system for comparative analysis and evaluation of multiple virtual power plants based on any one of claims 1 to 7, characterized in that: include: Principle establishment module, indicator system module, performance evaluation module and benchmark screening module; The said principles establish a module to establish the principles of a comprehensive performance evaluation index system for multiple virtual power plants; The index system module constructs a comprehensive performance evaluation index system for multiple virtual power plants; The performance evaluation module uses the analytic hierarchy process to conduct a comprehensive performance evaluation of the virtual power plant; The benchmark screening module screens benchmark virtual power plants for demonstration applications.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a multi-virtual power plant comparative analysis and evaluation method described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a multi-virtual power plant comparative analysis and evaluation method described in any one of claims 1 to 7 are implemented.

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