Performance judgment method and system for function alternative energy storage system of power system

Abstract

The invention discloses a performance judgment method for a power system function alternative energy storage system. The method comprises the following steps: determining a to-be-judged power system function alternative energy storage system; constructing a performance system of the function alternative energy storage system of the power system; calculating an index score of each power system function alternative energy storage system; calculating the index weight of each power system function alternative energy storage system; and calculating the performance judgment score of each power system function alternative energy storage system, and completing the performance judgment of the power system function alternative energy storage system. The invention also discloses a system for realizing the performance judgment method of the function alternative energy storage system of the power system. The method is less affected by subjective factors of experts, and is higher in reliability and better in accuracy.

Description

Technical Field

[0001] The present invention belongs to the field of electrical automation, and particularly relates to a method and system for determining the performance of a power system function alternative energy storage system. Background Art

[0002] With the development of economic technology and the improvement of people's living standards, electric energy has become an essential secondary energy source in people's production and life, bringing endless convenience to people's production and life. Therefore, ensuring the stable and reliable operation of electric energy has become one of the most important tasks of the power system.

[0003] At the present stage, with the increasingly serious environmental problems, more and more new energy power generation systems have begun to be incorporated into the power system and generate electricity. However, new energy power generation systems have the characteristics of randomness and volatility. The large-scale connection of new energy to the grid will lead to power quality problems in the power system, thus bringing great challenges to the safe and stable operation of the power system.

[0004] Power system function alternative energy storage refers to transferring some functions of the traditional power grid (such as load balancing, frequency stabilization, etc.) to the energy storage system through various energy storage technologies, including battery energy storage, compressed air energy storage, flywheel energy storage, etc., to ensure the safe and stable operation of the power grid. Therefore, it is of great significance for the power system to determine the functions of the energy storage system and select a suitable energy storage system as the function alternative energy storage.

[0005] At present, the performance determination scheme of traditional energy storage systems adopts the hierarchical method. However, such schemes greatly rely on the judgment and preference of experts, and the weight allocation and scoring are extremely vulnerable to personal biases. Therefore, the existing performance determination schemes for function alternative energy storage systems have poor reliability and accuracy. Summary of the Invention

[0006] One of the purposes of the present invention is to provide a method for determining the performance of a power system function alternative energy storage system with high reliability and good accuracy.

[0007] Another purpose of the present invention is to provide a system for implementing the method for determining the performance of the power system function alternative energy storage system.

[0008] The method for determining the performance of the power system function alternative energy storage system provided by the present invention includes the following steps:

[0009] S1. Determine the power system function alternative energy storage system to be determined;

[0010] S2. Construct a performance system for the power system function alternative energy storage system;

[0011] S3. Based on the performance system constructed in step S2, calculate the index scores of each alternative energy storage system for power system functions based on partial space-constrained least squares Poisson fitting;

[0012] S4. Based on the performance system constructed in step S2, calculate the index weights of each alternative energy storage system for power system functions based on the analytic hierarchy process;

[0013] S5. Calculate the performance determination scores of each alternative energy storage system for power system functions according to the index scores obtained in step S3 and the index weights obtained in step S4;

[0014] S6. Complete the performance determination of the alternative energy storage system for power system functions according to the performance determination scores obtained in step S5.

[0015] The determination of the alternative energy storage system for power system functions described in step S1 specifically includes the following steps:

[0016] The alternative energy storage system for power system functions to be determined includes battery energy storage, compressed air energy storage, and flywheel energy storage.

[0017] The construction of the performance system of the alternative energy storage system for power system functions described in step S2 specifically includes the following steps:

[0018] The constructed performance system of the alternative energy storage system for power system functions includes technical indicators, economic indicators, and environmental indicators;

[0019] The technical indicators include several technical sub-indicators, among which the technical sub-indicators include charge and discharge efficiency, response time, and reliability;

[0020] The economic indicators include several economic sub-indicators, among which the economic sub-indicators include initial investment cost, operation and maintenance cost, and return on investment;

[0021] The environmental indicators include several environmental sub-indicators, among which the environmental sub-indicators include energy consumption, waste treatment, and environmental friendliness;

[0022] The calculation of the index scores of each alternative energy storage system for power system functions based on the performance system constructed in step S2 and based on partial space-constrained least squares Poisson fitting described in step S3 specifically includes the following steps:

[0023] Based on the performance system constructed in step S2, conduct expert scoring for each technical sub-indicator, economic sub-indicator, and environmental sub-indicator;

[0024] According to the obtained expert scoring data, based on partial space-constrained least squares Poisson fitting, use the following steps to calculate the score expectations of each technical sub-indicator, economic sub-indicator, and environmental sub-indicator:

[0025] According to the obtained expert scoring data, fit the Poisson distribution parameter λ; the probability mass function of the Poisson distribution is expressed as where k is the possible value of the count, and λ is the Poisson distribution parameter; in the process of fitting the Poisson distribution parameter λ, the constraint condition is set as λ≥0;

[0026] By minimizing the objective function, fit the Poisson distribution parameter λ; the objective function is expressed as where L(λ) is the objective function value, m is the sample size, Observed Freq(k) is the actual data, and Poission Prob(k,λ) is the theoretical Poisson probability calculated according to the Poisson distribution parameter λ;

[0027] Finally, calculate the expected scores of each technical sub-index, economic sub-index, and environmental sub-index.

[0028] For the performance system constructed according to step S2 in step S4, based on the analytic hierarchy process, calculate the index weights of each power system function alternative energy storage system, which specifically includes the following steps:

[0029] Based on the performance system constructed in step S2, according to the scoring data of each expert on each technical sub-index, economic sub-index, and environmental sub-index, form an expert scoring matrix; among them, the expert scoring matrix is used to describe the relative importance between each sub-index, and each element in the matrix follows the Poisson distribution;

[0030] Adopt the least squares fitting method and combine the symmetry constraint to optimize each expert scoring matrix to obtain the expected scoring matrix; among them, the symmetry constraint is expressed as the element A in the i-th row and j-th column of the matrix ij and the element A in the j-th row and i-th column ji satisfy

[0031] Adopt the normalized eigenvector method to calculate the weight values of each technical sub-index, economic sub-index, and environmental sub-index, as well as the weight values of technical indicators, economic indicators, and environmental indicators, and finally obtain the index weights of each power system function alternative energy storage system.

[0032] For the performance determination scores of each power system function alternative energy storage system calculated according to the index scores obtained in step S3 and the index weights obtained in step S4 in step S5, it specifically includes the following steps:

[0033] According to the expected score values of each technical sub - index, economic sub - index, and environmental sub - index obtained in step S3 and the weight values of each technical sub - index, economic sub - index, and environmental sub - index obtained in step S4, using the weighted summation method, calculate the score values of the technical index, economic index, and environmental index respectively;

[0034] Then, according to the weight values of the technical index, economic index, and environmental index obtained in step S4, using the weighted summation method, calculate the performance determination score values of each power system function alternative energy storage system.

[0035] The performance determination of the power system function alternative energy storage system according to the performance determination score obtained in step S5 described in step S6 specifically includes the following steps:

[0036] According to the performance determination score obtained in step S5, complete the performance determination of the power system function alternative energy storage system by using the following rules:

[0037] The higher the performance determination score value, the better the performance of the power system function alternative energy storage system is determined.

[0038] The present invention also provides a system for implementing the performance determination method of the power system function alternative energy storage system, including a system determination module, a system construction module, a score calculation module, a weight calculation module, a comprehensive calculation module, and a performance determination module; the system determination module, the system construction module, the score calculation module, the weight calculation module, the comprehensive calculation module, and the performance determination module are connected in series in sequence; the system determination module is used to determine the power system function alternative energy storage system to be determined and upload the data information to the system construction module; the system construction module is used to construct the performance system of the power system function alternative energy storage system according to the received data information and upload the data information to the score calculation module; the score calculation module is used to calculate the index scores of each power system function alternative energy storage system based on the constructed performance system and the partial space - constrained least - squares Poisson fitting according to the received data information and upload the data information to the weight calculation module; the weight calculation module is used to calculate the index weights of each power system function alternative energy storage system based on the constructed performance system and the analytic hierarchy process according to the received data information and upload the data information to the comprehensive calculation module; the comprehensive calculation module is used to calculate the performance determination scores of each power system function alternative energy storage system according to the received data information, the obtained index scores, and the obtained index weights and upload the data information to the performance determination module; the performance determination module is used to complete the performance determination of the power system function alternative energy storage system according to the received data information and the obtained performance determination scores.

[0039] The performance determination method and system for the power system function alternative energy storage system provided by the present invention, based on the constructed performance determination system, uses the partial spatial constraint least squares Poisson fitting scheme to calculate the index scores, so as to minimize the subjective influence of expert scoring, and then realizes the performance determination of the power system function alternative energy storage system through the analytic hierarchy process; therefore, the present invention is less affected by expert subjective factors, has higher reliability and better accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic flowchart of the method of the present invention.

[0041] Figure 2 It is a schematic diagram of the functional modules of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] As Figure 1 shown, it is a schematic flowchart of the method of the present invention: The performance determination method for the power system function alternative energy storage system disclosed by the present invention includes the following steps:

[0043] S1. Determine the power system function alternative energy storage system to be determined; specifically, it includes the following steps:

[0044] The power system function alternative energy storage system to be determined includes battery energy storage, compressed air energy storage and flywheel energy storage;

[0045] S2. Construct the performance system of the power system function alternative energy storage system; specifically, it includes the following steps:

[0046] The constructed performance system of the power system function alternative energy storage system includes technical indicators, economic indicators and environmental indicators;

[0047] The technical indicators include several technical sub-indicators, and the technical sub-indicators include charge and discharge efficiency, response time and reliability;

[0048] The economic indicators include several economic sub-indicators, and the economic sub-indicators include initial investment cost, operation and maintenance cost, return on investment;

[0049] The environmental indicators include several environmental sub-indicators, and the environmental sub-indicators include energy consumption, waste treatment, environmental friendliness;

[0050] S3. According to the performance system constructed in step S2, based on the partial spatial constraint least squares Poisson fitting, calculate the index scores of each power system function alternative energy storage system; specifically, it includes the following steps:

[0051] Based on the performance system constructed in step S2, conduct expert scoring on each technical sub-indicator, economic sub-indicator and environmental sub-indicator;

[0052] Based on the obtained expert scoring data and using partial spatial constraint least squares Poisson fitting, the following steps are used to calculate the score expectations of each technical sub - index, economic sub - index, and environmental sub - index:

[0053] Based on the obtained expert scoring data, fit the Poisson distribution parameter λ; the probability mass function of the Poisson distribution is expressed as where k is the possible value of the count and λ is the Poisson distribution parameter; in the process of fitting the Poisson distribution parameter λ, the constraint condition is set as λ≥0;

[0054] In specific implementation, experts score according to the specific situation of each sub - index, and the scoring standard is from 1 to 10 points. The higher the score, the better the performance of the sub - index;

[0055] Fit the Poisson distribution parameter λ by minimizing the objective function; the objective function is expressed as where L(λ) is the value of the objective function, m is the sample size, Observed Freq(k) is the actual data, and Poission Prob(k,λ) is the theoretical Poisson probability calculated according to the Poisson distribution parameter λ;

[0056] Finally, calculate the score expectations of each technical sub - index, economic sub - index, and environmental sub - index;

[0057] S4. Based on the performance system constructed in step S2 and using the analytic hierarchy process, calculate the index weights of each power system function alternative energy storage system; specifically, it includes the following steps:

[0058] The analytic hierarchy process is a commonly used multi - criterion decision - making method that can help synthesize multiple complex factors into a simple evaluation model; the analytic hierarchy process can decompose the problem of energy storage performance determination into multiple levels. First, determine the advantages and disadvantages of each energy storage technology, and combine the expert scoring opinions for weighted scoring;

[0059] Based on the performance system constructed in step S2, according to the scoring data of each expert for each technical sub - index, economic sub - index, and environmental sub - index, form an expert scoring matrix; among them, the expert scoring matrix is used to describe the relative importance between each sub - index, and each element in the matrix follows the Poisson distribution;

[0060] Using the least squares fitting method and combining symmetry constraints, optimize each expert scoring matrix to obtain an expected scoring matrix; among them, the symmetry constraint is expressed as the element A at the i - th row and j - th column in the matrix ij and the element A at the j - th row and i - th column ji satisfy

[0061] Using the normalized eigenvector method, the weight values of each technical sub-index, economic sub-index, and environmental sub-index, as well as the weight values of the technical index, economic index, and environmental index, are calculated, and finally the index weights of each power system function alternative energy storage system are obtained;

[0062] S5. According to the index scores obtained in step S3 and the index weights obtained in step S4, calculate the performance determination scores of each power system function alternative energy storage system; specifically, it includes the following steps:

[0063] According to the expected value of the scores of each technical sub-index, economic sub-index, and environmental sub-index obtained in step S3 and the weight values of each technical sub-index, economic sub-index, and environmental sub-index obtained in step S4, using the weighted summation method, calculate the score values of the technical index, economic index, and environmental index respectively;

[0064] Then, according to the weight values of the technical index, economic index, and environmental index obtained in step S4, using the weighted summation method, calculate the performance determination score values of each power system function alternative energy storage system;

[0065] S6. According to the performance determination scores obtained in step S5, complete the performance determination of the power system function alternative energy storage system; specifically, it includes the following steps:

[0066] According to the performance determination scores obtained in step S5, complete the performance determination of the power system function alternative energy storage system by using the following rules:

[0067] The higher the performance determination score value, the better the performance of the power system function alternative energy storage system is determined.

[0068] The method of the present invention is optimized based on the scoring data of all experts through least squares fitting to obtain the expected value of each scoring element, thereby reducing the personal bias of a single expert, avoiding the influence of extreme scores, and introducing the Poisson distribution helps to smooth the scoring data, ensuring that the scoring results are more reasonable statistically; the method of the present invention ensures that the relationship between each pair of elements in the matrix remains consistent by introducing spatial constraints, thereby ensuring the symmetry of the matrix, avoiding unreasonable scoring relationships, and moreover, by optimizing the scoring matrices of multiple experts, integrating the opinions of multiple experts, reducing the possible biases of individual experts, and improving the consistency of scoring; the method of the present invention regards the data of the scoring matrix as random variables subject to the Poisson distribution, and uses least squares fitting to obtain the expected value of each score, which can eliminate the random fluctuations in the scoring and make the results more stable and credible; the method of the present invention can effectively reduce the interference of human factors on the scoring through mathematical fitting optimization based on data, making the final evaluation results more stable.

[0069] Such asFigure 2 The figure shows a schematic diagram of the functional modules of the system of the present invention: The system for implementing the performance determination method of the alternative energy storage system for the power system functions disclosed in the present invention includes a system determination module, a system construction module, a score calculation module, a weight calculation module, a comprehensive calculation module, and a performance determination module; the system determination module, the system construction module, the score calculation module, the weight calculation module, the comprehensive calculation module, and the performance determination module are connected in series in sequence; the system determination module is used to determine the alternative energy storage system for the power system functions to be determined and upload the data information to the system construction module; the system construction module is used to construct the performance system of the alternative energy storage system for the power system functions according to the received data information and upload the data information to the score calculation module; the score calculation module is used to calculate the index scores of each alternative energy storage system for the power system functions based on the constructed performance system and partial space constraint least squares Poisson fitting according to the received data information and upload the data information to the weight calculation module; the weight calculation module is used to calculate the index weights of each alternative energy storage system for the power system functions based on the analytic hierarchy process according to the received data information and upload the data information to the comprehensive calculation module; the comprehensive calculation module is used to calculate the performance determination scores of each alternative energy storage system for the power system functions according to the received data information, the obtained index scores, and the obtained index weights and upload the data information to the performance determination module; the performance determination module is used to complete the performance determination of the alternative energy storage system for the power system functions according to the received data information and the obtained performance determination scores.

Claims

1. A method for determining the performance of a power system functional alternative energy storage system, comprising the following steps: S1. Determine the power system functional alternative energy storage system to be determined; S2. Construct a performance system for energy storage systems that replace power system functions; S3. According to the performance system constructed in step S2, based on the partial spatial constrained least squares Poisson fitting, the index scores of the functional alternative energy storage systems of each power system are calculated; S4. According to the performance system constructed in step S2, based on the analytic hierarchy process, the index weights of the functional alternative energy storage systems of each power system are calculated; S5. Calculate the performance judgment score of each power system functional alternative energy storage system based on the index score obtained in step S3 and the index weight obtained in step S4; S6. Based on the performance judgment score obtained in step S5, complete the performance judgment of the energy storage system that is an alternative to the power system function.

2. The performance determination method of the power system functional alternative energy storage system according to claim 1 is characterized in that The step S1 of determining the power system functional alternative energy storage system to be determined specifically includes the following steps: Alternative energy storage systems for power system functions to be determined include battery energy storage, compressed air energy storage and flywheel energy storage.

3. The performance determination method of the power system functional alternative energy storage system according to claim 2 is characterized in that The construction of the performance system of the power system functional alternative energy storage system described in step S2 specifically includes the following steps: The performance system of the constructed power system functional alternative energy storage system includes technical indicators, economic indicators and environmental indicators; The technical indicators include several technical sub-indicators, including charge and discharge efficiency, response time and reliability; The economic index includes several economic sub-indicators, including initial investment cost, operation and maintenance cost, and return on investment; Environmental indicators include several environmental sub-indicators, among which the environmental sub-indicators include energy consumption, waste disposal, and environmental friendliness.

4. The performance determination method of the power system functional alternative energy storage system according to claim 3 is characterized in that The performance system constructed according to step S2 described in step S3 calculates the index score of each power system functional alternative energy storage system based on partial spatial constrained least squares Poisson fitting, and specifically includes the following steps: Based on the performance system constructed in step S2, experts score each technical sub-indicator, economic sub-indicator, and environmental sub-indicator; According to the obtained expert scoring data, based on the partial spatial constrained least squares Poisson fitting, the following steps are used to calculate the expected scores of each technical sub-indicator, economic sub-indicator and environmental sub-indicator: According to the obtained expert scoring data, the Poisson distribution parameter λ is fitted; the probability mass function of the Poisson distribution is expressed as Where k is the possible value of the count, and λ is the parameter of the Poisson distribution. In the process of fitting the parameter λ of the Poisson distribution, the constraint condition is set to λ≥0; The Poisson distribution parameter λ is fitted by minimizing the objective function; the objective function is expressed as Where L(λ) is the objective function value, m is the sample size, and Observed Freq(k) For actual data, Poission Prob(k,λ) is the theoretical Poisson probability calculated according to the Poisson distribution parameter λ; Finally, the expected scores of each technical sub-indicator, economic sub-indicator and environmental sub-indicator are calculated.

5. The performance determination method of the power system functional alternative energy storage system according to claim 4 is characterized in that The performance system constructed according to step S2 described in step S4 calculates the index weights of the functional alternative energy storage systems of each power system based on the analytic hierarchy process, and specifically includes the following steps: Based on the performance system constructed in step S2, an expert scoring matrix is ​​formed according to the scoring data of each expert on each technical sub-indicator, economic sub-indicator and environmental sub-indicator; wherein the expert scoring matrix is ​​used to describe the relative importance of each sub-indicator, and each element in the matrix obeys a Poisson distribution; The least squares fitting method is used to optimize each expert rating matrix in combination with the symmetry constraint to obtain the expected rating matrix. The symmetry constraint is represented by the element A in the i-th row and j-th column of the matrix. ij and the element A at row j and column i ji satisfy The normalized eigenvector method is used to calculate the weight values ​​of various technical sub-indicators, economic sub-indicators and environmental sub-indicators, as well as the weight values ​​of technical indicators, economic indicators and environmental indicators, and finally the indicator weights of each power system functional alternative energy storage system are obtained.

6. The performance determination method of the power system functional alternative energy storage system according to claim 5 is characterized in that The step S5, according to the index score obtained in step S3 and the index weight obtained in step S4, calculates the performance judgment score of each power system functional alternative energy storage system, which specifically includes the following steps: According to the expected scores of the technical sub-indicators, economic sub-indicators and environmental sub-indicators obtained in step S3 and the weight values ​​of the technical sub-indicators, economic sub-indicators and environmental sub-indicators obtained in step S4, the scores of the technical indicators, economic indicators and environmental indicators are calculated respectively by using the weighted summation method; Then, according to the weight values ​​of the technical indicators, economic indicators and environmental indicators obtained in step S4, a weighted summation method is adopted to calculate the performance judgment score value of each power system functional alternative energy storage system.

7. The performance determination method of the power system functional alternative energy storage system according to claim 6 is characterized in that The step S6 described in which the performance judgment score obtained in step S5 is used to complete the performance judgment of the energy storage system that is a substitute for the power system function, specifically includes the following steps: According to the performance judgment score obtained in step S5, the performance judgment of the energy storage system that is a functional alternative to the power system is completed using the following rules: The higher the performance judgment score value, the better the performance of the power system functional alternative energy storage system is judged to be.

8. A system for implementing the performance determination method of a power system functional replacement energy storage system as claimed in any one of claims 1 to 7, characterized in that It includes a system determination module, a system construction module, a score calculation module, a weight calculation module, a comprehensive calculation module and a performance determination module; the system determination module, the system construction module, the score calculation module, the weight calculation module, the comprehensive calculation module and the performance determination module are connected in series in sequence; the system determination module is used to determine the functional alternative energy storage system of the power system to be determined, and upload the data information to the system construction module; the system construction module is used to construct a performance system of the functional alternative energy storage system of the power system according to the received data information, and upload the data information to the score calculation module; The score calculation module is used to calculate the index scores of the functional alternative energy storage systems of each power system based on the received data information, the constructed performance system, and the partial spatial constrained least squares Poisson fitting, and upload the data information to the weight calculation module; The weight calculation module is used to calculate the index weights of the functional alternative energy storage systems of each power system based on the received data information, the constructed performance system, and the hierarchical analysis method, and upload the data information to the comprehensive calculation module; The comprehensive calculation module is used to calculate the performance judgment score of each power system functional alternative energy storage system according to the received data information, the obtained indicator score and the obtained indicator weight, and upload the data information to the performance judgment module; The performance determination module is used to complete the performance determination of the power system functional alternative energy storage system according to the received data information and the obtained performance determination score.

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