Shared energy storage power station scheduling method based on benefit evaluation

Abstract

The present invention provides a scheduling method for a shared energy storage power station based on benefit evaluation, belonging to the technical field of energy storage scheduling. The specific scheduling method is as follows: Set the parameter indicators of the benefits of the shared energy storage power station; Calculate the corresponding subjective weight and objective weight respectively, obtain the combined weight of each technical parameter indicator, combine the predetermined operating state indicators and the corresponding weights, conduct a benefit evaluation on the shared energy storage power station, set and execute the scheduling plan; Obtain the changes in the technical parameter indicator values of each shared energy storage power station to perform correction of the technical parameter indicator values and adjustment of the combined weight; Re-obtain the benefit evaluation results of the shared energy storage power station and adjust the scheduling plan. Starting from two dimensions of the indicator value and the weight, the present invention corrects the technical parameter indicator values and adjusts the combined weight to cope with the fluctuations of evaluation indicators in different situations, ensures the accuracy of the benefit evaluation results, and further guarantees the scheduling accuracy and safety of the shared energy storage power station in grid scheduling.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage scheduling, and in particular to a scheduling method for a shared energy storage power station based on benefit evaluation. Background Art

[0002] As an important part of the power system, the benefit evaluation of a shared energy storage power station is crucial for realizing the optimal scheduling of the power station. During the benefit evaluation process, the selection of the weighting method directly affects the accuracy and reliability of the evaluation results, which is related to the subsequent scheduling accuracy and safety of the shared energy storage power station.

[0003] Most of the existing shared energy storage power stations use a single weighting method of subjective weight or objective weight to achieve benefit evaluation. Among them, the subjective weight method mainly relies on expert experience or historical data to determine the weights of various evaluation indicators. This method is simple and easy to implement, but it is easily affected by personal subjective factors, and it is difficult to guarantee the accuracy of the evaluation results. The objective weight method, on the other hand, determines the weights according to the internal laws and correlations of the indicator data through mathematical statistics, data mining, etc. This method is relatively objective, but it is easy to miss important non-quantifiable factors, and there are still problems with the low accuracy of the evaluation results.

[0004] The combined weighting method that combines subjective weight and objective weight can comprehensively consider various factors to determine the weights of various evaluation indicators. It combines the flexibility of the subjective weight method and the objectivity of the objective weight method, and can more comprehensively reflect the comprehensive benefits of the shared energy storage power station. It can just solve the accuracy problem existing in the single weighting method, and then guarantee the scheduling accuracy when the subsequent shared energy storage power station participates in power grid scheduling.

[0005] However, during the process of the shared energy storage power station participating in power grid scheduling, if an abnormal situation occurs, due to the cross and overlap phenomena between different evaluation indicators, the importance and indicator values of each evaluation indicator will be affected by the abnormal situation or the fluctuations of the associated indicator values respectively, showing different fluctuation situations. When dealing with the benefit evaluation of the shared energy storage power station in such abnormal situations, it is necessary to focus on the parameter indicators related to the abnormal situation, that is, adjust their weight values in the benefit evaluation, so as to timely adjust the scheduling plan of the shared energy storage power station, deal with the abnormal situation of the power station, and ensure its operation safety. However, the existing combined weight assignment is directly based on the parameter indicator values, and it is impossible to distinguish the reasons for the fluctuations of the parameter indicator values. For the evaluation indicators that are simply affected by the fluctuations of the associated indicator values, there is a certain deviation between the evaluation indicator values and the actual situation. If the combined weight is directly re-assigned according to the current evaluation indicator values, it is difficult to guarantee the accuracy of the re-assigned result of the combined weight, and the accuracy of the benefit evaluation result is low, and it is difficult to guarantee the scheduling accuracy and safety when the subsequent shared energy storage power station participates in power grid scheduling. Summary of the Invention

[0006] The object of the present invention is to overcome the disadvantages that in the prior art, when using the combined weighting method to assign weights to the evaluation indicators of a shared energy storage power station and obtain the corresponding benefit evaluation results for the dispatching of the shared energy storage power station, it is unable to adapt to different fluctuation situations of the evaluation indicator values of the shared energy storage power station, it is difficult to accurately adjust the corresponding combined weights, the accuracy of the benefit evaluation results is low, and it is difficult to ensure the dispatching accuracy and safety of the shared energy storage power station participating in the power grid dispatching. A dispatching method for a shared energy storage power station based on benefit evaluation is provided. By means of combined weight assignment, the benefit evaluation of the shared energy storage power station is realized, the accuracy of the benefit evaluation is ensured, and after formulating the corresponding dispatching plan according to the benefit evaluation results, the operation conditions of the shared energy storage power station during the execution of the dispatching plan are monitored, so as to timely obtain the changes of various parameter indicators. Starting from two dimensions of the indicator value and the weight, the correction of the parameter indicator value and the adjustment of the combined weight are carried out, which can cope with the fluctuations of the evaluation indicators in different situations, ensure the accuracy of the benefit evaluation results, and further ensure the dispatching accuracy and safety of the shared energy storage power station in the power grid dispatching.

[0007] The object of the present invention is achieved by the following technical solutions:

[0008] A dispatching method for a shared energy storage power station based on benefit evaluation, including:

[0009] Setting parameter indicators for the benefits of the shared energy storage power station;

[0010] Respectively calculating the corresponding subjective weight and objective weight based on the analytic hierarchy process and the entropy weight method, and combining the CRITIC method for combined weight assignment to obtain the combined weights of each technical parameter indicator;

[0011] According to the technical parameter indicator values and the corresponding combined weights, combining the predetermined operation state indicators and the corresponding weights, conducting a benefit evaluation on the shared energy storage power station, and setting the dispatching plan of the shared energy storage power station according to the benefit evaluation results;

[0012] Executing the dispatching plan and obtaining the changes in the technical parameter indicator values of each shared energy storage power station;

[0013] Conducting correction of the technical parameter indicator values and adjustment of the combined weights according to the changes in the technical parameter indicator values;

[0014] Re-obtaining the benefit evaluation results of the shared energy storage power station and adjusting the dispatching plan of the shared energy storage power station.

[0015] When assigning values to the objective evaluation indicators at the technical level in the benefit evaluation of a shared energy storage power station using combined weights, it avoids the one-sidedness that may be brought about by single-weight assignment, more comprehensively evaluates the actual operation benefits of the shared energy storage power station, ensures the accuracy of the benefit evaluation, and further improves the accuracy of subsequent dispatching schemes. After formulating the corresponding dispatching scheme according to the benefit evaluation results, monitor the operation of the shared energy storage power station during the implementation of the dispatching scheme, so as to timely obtain the changes in various technical parameter indicators, and starting from the two dimensions of the indicator value and the weight, correct the technical parameter indicator values and adjust the combined weights. The correction of the indicator values can ensure the accuracy and reliability of the data used in the benefit evaluation, and avoid evaluation deviations caused by data errors. The adjustment of the combined weights can dynamically adjust the weights of various factors in the benefit evaluation according to the changes in the actual situation, and can cope with the fluctuations of the evaluation indicators under different circumstances. This dynamic adjustment strategy not only ensures the accuracy of the benefit evaluation results, but also improves the flexibility and adaptability of the shared energy storage power station in power grid dispatching, and guarantees the dispatching accuracy and safety of the shared energy storage power station in power grid dispatching.

[0016] Further, the correction of the technical parameter indicator values and the adjustment of the combined weights according to the changes in the technical parameter indicator values include:

[0017] Based on the changes in the technical parameter indicator values, identify abnormal parameter indicators where the technical parameter indicator values are zero or the degree of change in the technical parameter indicator values exceeds the corresponding degree threshold;

[0018] According to the types of technical parameter indicators of the abnormal parameter indicators and the changes in their technical parameter indicator values, divide the shared energy storage power stations to be shut down and the shared energy storage power stations to be adjusted;

[0019] According to the corresponding abnormal parameter indicators and their technical parameter indicator values, correct the technical parameter indicators of the shared energy storage power stations to be adjusted, and adjust the combined weights of each technical parameter indicator;

[0020] Perform shutdown processing on the shared energy storage power stations to be shut down, and zero the corresponding benefit evaluation values.

[0021] Further, the correction of the technical parameter indicators of the shared energy storage power stations to be adjusted and the adjustment of the combined weights of each technical parameter indicator according to the corresponding abnormal parameter indicators and their technical parameter indicator values include:

[0022] Based on the abnormal parameter indicators and their technical parameter indicator values, identify the reasons for the abnormalities of the shared energy storage power stations;

[0023] Calculate the first correlation relationship between each other technical parameter indicator and the reason for the abnormality;

[0024] Calculate the second correlation relationship between the abnormal parameter indicator and each other technical parameter indicator;

[0025] Identify the technical parameter indicators to be corrected according to the first association relationship and the second association relationship;

[0026] Obtain the degree of association between the technical parameter indicators to be corrected and the abnormal parameter indicators, and combine the technical parameter indicator values of the abnormal parameter indicators to correct the technical parameter indicator values of the technical parameter indicators to be corrected;

[0027] Adjust the combined weights of each technical parameter indicator according to the abnormal parameter indicators and the corrected technical parameter indicator values of the technical parameter indicators to be corrected.

[0028] Further, the identifying the technical parameter indicators to be corrected according to the first association relationship and the second association relationship includes:

[0029] Screen the first associated technical parameter indicators associated with the abnormal cause based on the first association relationship;

[0030] Screen the second associated technical parameter indicators associated with the abnormal parameter indicators based on the second association relationship;

[0031] Match the second associated technical parameter indicators with the first associated technical parameter indicators, and use the technical parameter indicators in the second associated technical parameter indicators that do not match the first associated technical parameter indicators as the technical parameter indicators to be corrected.

[0032] Further, the obtaining the degree of association between the technical parameter indicators to be corrected and the abnormal parameter indicators, and combining the technical parameter indicator values of the abnormal parameter indicators to correct the technical parameter indicator values of the technical parameter indicators to be corrected includes:

[0033] Select the correction method for the technical parameter indicators to be corrected based on the degree of association between the technical parameter indicators to be corrected and the abnormal parameter indicators;

[0034] Set the correction coefficient for the corresponding correction method according to the degree of association, and correct the technical parameter indicator values of the technical parameter indicators to be corrected in combination with the technical parameter indicator values of the corresponding abnormal parameter indicators.

[0035] By monitoring the changes in the parameter index values in real time, abnormal parameter indexes can be quickly identified and processed, and the shared energy storage power station to be shut down can be shut down in a timely manner, effectively avoiding safety risks caused by equipment failures or abnormalities. At the same time, parameter index calibration and combined weight adjustment are performed on the shared energy storage power station to be adjusted, so that the benefit evaluation results can be closer to the actual situation. When performing parameter calibration and weight adjustment, the parameter indexes to be calibrated are identified based on the correlation analysis, the parameter indexes with the risk of duplicate calculation are accurately obtained, and the calibration method and calibration coefficient are further selected according to the degree of correlation, and the calibration is carried out in combination with the parameter index values of the abnormal parameter indexes to ensure the accuracy of the calibration results, and then ensure the accuracy of the subsequent benefit evaluation results.

[0036] Further, dividing the shared energy storage power station to be shut down and the shared energy storage power station to be adjusted according to the technical parameter index type and the change of its technical parameter index value of the abnormal parameter index includes:

[0037] Set the shutdown index and shutdown conditions according to the dispatching plan and the technical constraints of the shared energy storage power station;

[0038] Calculate the shutdown index value of the corresponding shared energy storage power station according to the technical parameter index type and the change of its technical parameter index value of the abnormal technical parameter index;

[0039] When at least one shutdown index value meets the shutdown conditions, determine that the corresponding shared energy storage power station is a shared energy storage power station to be shut down;

[0040] In other cases, determine that the corresponding shared energy storage power station is a shared energy storage power station to be adjusted.

[0041] Further, setting the dispatching plan of the shared energy storage power station according to the benefit evaluation results includes:

[0042] Obtain the operation information of each shared energy storage power station and the grid operation information of the corresponding connected grid;

[0043] Identify the dispatching requirements according to the grid operation information of the corresponding connected grid;

[0044] Based on the benefit evaluation results and the dispatching requirements, determine the regulation ability of each shared energy storage power station according to the corresponding operation information;

[0045] Sort according to the benefit evaluation results, set the participation degree of each shared energy storage power station according to the dispatching requirements and the corresponding regulation ability, and obtain the dispatching plan of the shared energy storage power station.

[0046] Further, executing the dispatching plan and obtaining the changes in the technical parameter index values of each shared energy storage power station includes:

[0047] Obtain the scheduling objectives of the scheduling plan and calculate the sensitivity between each technical parameter index and the scheduling objectives;

[0048] According to the calculation results of the sensitivity corresponding to each technical parameter index, set the feedback time nodes of each technical parameter index;

[0049] Every time a feedback time node is reached, collect the corresponding technical parameter index values;

[0050] According to the technical parameter index values at each feedback time node, determine the change situation of the technical parameter index values of each shared energy storage power station.

[0051] Further, calculating the corresponding subjective weight and objective weight respectively based on the analytic hierarchy process and the entropy weight method, and combining the CRITIC method for combined weight assignment includes:

[0052] Establish a hierarchical structure based on technical parameter indexes and construct a corresponding judgment matrix;

[0053] Perform consistency verification on the judgment matrix, obtain the weight vector, and perform normalization processing on the weight vector to obtain the subjective weights of each technical parameter index;

[0054] Perform standardization processing on the technical parameter index data, calculate the entropy value of each technical parameter index, solve the corresponding difference coefficient, and obtain the objective weights of each technical parameter index according to the difference coefficient.

[0055] Further, calculating the corresponding subjective weight and objective weight respectively based on the analytic hierarchy process and the entropy weight method, and combining the CRITIC method for combined weight assignment also includes:

[0056] Calculate the standard deviation of each technical parameter index and obtain the correlation coefficient between every two technical parameter indexes;

[0057] Calculate the information amount of each technical parameter index according to the standard deviation and the correlation coefficient;

[0058] Based on the information amount of each technical parameter index, combined with the corresponding subjective weight and objective weight, calculate the combined weights of each technical parameter index.

[0059] The beneficial effects of the present invention are:

[0060] (1)When assigning values to the objective evaluation indicators at the technical level in the benefit evaluation of a shared energy storage power station using combined weights, it avoids the one-sidedness that may be brought about by a single weight assignment, more comprehensively evaluates the actual operation benefits of the shared energy storage power station, ensures the accuracy of the benefit evaluation, and further improves the accuracy of the subsequent dispatching scheme. After formulating the corresponding dispatching scheme according to the benefit evaluation results, monitor the operation of the shared energy storage power station during the implementation of the dispatching scheme, so as to timely obtain the changes in various technical parameter indicators, and starting from the two dimensions of the indicator value and the weight, correct the parameter indicator value and adjust the combined weight. The correction of the indicator value can ensure the accuracy and reliability of the data applied in the benefit evaluation, and avoid evaluation deviations caused by data errors. The adjustment of the combined weight can dynamically adjust the weights of various factors in the benefit evaluation according to the changes in the actual situation, and can cope with the fluctuations of the evaluation indicators in different situations. This dynamic adjustment strategy not only ensures the accuracy of the benefit evaluation results, but also improves the flexibility and adaptability of the shared energy storage power station in power grid dispatching, and guarantees the dispatching accuracy and safety of the shared energy storage power station in power grid dispatching.

[0061] (2)By real-time monitoring the changes in parameter indicator values, it can quickly identify and process abnormal parameter indicators, and perform timely outage processing on the shared energy storage power station to be shut down, effectively avoiding safety risks caused by equipment failures or abnormalities. At the same time, perform parameter indicator correction and combined weight adjustment on the shared energy storage power station to be dispatched, so that the benefit evaluation results can be closer to the actual situation. And when performing parameter correction and weight adjustment, identify the parameter indicators to be corrected according to the correlation analysis, accurately obtain the parameter indicators with the risk of duplicate calculation, and further select the correction method and set the correction coefficient according to the degree of correlation, and perform correction in combination with the parameter indicator values of the abnormal parameter indicators to ensure the accuracy of the correction results, and further guarantee the accuracy of the subsequent benefit evaluation results. Description of the Drawings

[0062] Figure 1 is a flow schematic diagram of the present invention;

[0063] Figure 2 is a schematic diagram of the evaluation index system framework for the benefit evaluation of a shared energy storage power station in an embodiment of the present invention. Detailed Embodiments

[0064] The present invention will be further described below in conjunction with the drawings and embodiments.

[0065] Embodiment:

[0066] A shared energy storage power station is a type of energy storage facility that integrates independent and decentralized energy storage resources on the grid side, power generation side, and user side, and hands them over to the grid for unified coordination and optimal allocation. During the peak period of new energy generation, it can absorb excess electricity to avoid grid overload. During the peak electricity consumption period, it can release electricity to meet the load demand. It is an important part of grid dispatching links such as grid peak shaving and frequency modulation.

[0067] However, different shared energy storage power stations are affected by factors such as operating conditions and technical constraints, and their response capabilities to grid dispatching are different. There are actually differences in their regulation capabilities in grid dispatching. To ensure the economy and feasibility of the dispatching plan, improve the safety and stability of grid operation, and promote new energy consumption and energy transformation, it is necessary to conduct benefit evaluation on shared energy storage power stations, and then formulate more refined dispatching strategies, improve the pertinence and effectiveness of grid dispatching plans, and achieve the maximum utilization of energy storage resources.

[0068] Considering that when abnormal situations such as equipment failures occur during the operation of shared energy storage power stations, the index data of their operation benefit evaluation will show different fluctuations, affecting the accuracy of the benefit evaluation results. Based on this, in this embodiment, a dispatching method for shared energy storage power stations based on benefit evaluation is proposed, as Figure 1 shown, to adapt to the benefit evaluation update of shared energy storage power stations under different fluctuation conditions and further improve the accuracy of the dispatching plan.

[0069] The dispatching method for shared energy storage power stations based on benefit evaluation includes:

[0070] Set the parameter indicators of the benefits of the shared energy storage power station;

[0071] Calculate the corresponding subjective weight and objective weight based on the analytic hierarchy process and the entropy weight method respectively, and combine the CRITIC method for combined weight assignment to obtain the combined weights of each technical parameter indicator;

[0072] According to the technical parameter indicator values and the corresponding combined weights, combined with the predetermined operation status indicators and the corresponding weights, conduct benefit evaluation on the shared energy storage power station, and set the dispatching plan of the shared energy storage power station according to the benefit evaluation results;

[0073] Execute the dispatching plan and obtain the changes in the technical parameter indicator values of each shared energy storage power station;

[0074] Correct the technical parameter indicator values and adjust the combined weights according to the changes in the technical parameter indicator values;

[0075] Re-obtain the benefit evaluation results of the shared energy storage power station and adjust the dispatching plan of the shared energy storage power station.

[0076] For the parameter indicators of the benefits of a shared energy storage power station, the technical performance and actual operation are used as the first-level indicators. Further, starting from multiple levels such as cost, regulation capacity, sustainability, safety, reliability, energy efficiency, economic benefits, and environmental benefits, the evaluation indicators for the comprehensive benefits of the shared energy storage power station at the corresponding levels are selected. Considering the progression of the indicators at each level, an evaluation index system for the comprehensive benefits of the shared energy storage power station covering secondary indicators and tertiary indicators is established.

[0077] Regarding the technical performance level of the shared energy storage power station, the secondary indicators of technical performance are further determined from five aspects: cost, regulation capacity, sustainability, safety, and reliability.

[0078] Among them, the tertiary indicators of the cost index include the cost of battery modules, civil engineering and installation costs, battery management system costs, and operation and maintenance costs, to reflect the investment amount of the shared energy storage power station and the basic expenses for maintaining operation.

[0079] The tertiary indicators of the regulation capacity index include response time, peak power, and peak power duration, to fully reflect the grid regulation capacity of the energy storage power station.

[0080] The sustainability indicators include the energy storage cycle life, battery life attenuation rate, and energy storage residual value rate, mainly reflecting the operation life and times of the energy storage power station.

[0081] The safety indicators include battery safety and accident hazard degree, reflecting the safety risks of the shared energy storage power station.

[0082] The reliability indicators include the planned outage factor and the unplanned outage factor.

[0083] In this embodiment, the index correction and weight adjustment are both carried out for the above technical parameter indicators, and their values are directly related to the data fluctuations shown during the operation of the shared energy storage power station, and can more intuitively reflect the abnormal situations that occur during the operation of the shared energy storage power station.

[0084] Regarding the actual operation level of the shared energy storage power station, in order to comprehensively reflect the operation level of the energy storage power station and the actual benefits brought by the power station, the secondary indicators for the operation of the shared energy storage power station are determined from five aspects: power quantity evaluation indicators, energy efficiency evaluation indicators, economic benefits and user benefit evaluation indicators, and environmental benefit evaluation indicators.

[0085] Among them, the tertiary indicators of the power quantity evaluation indicators include the on-grid power quantity, off-grid power quantity, operation hours, and equivalent utilization coefficient, which can reflect the interaction time and power quantity between the shared energy storage power station and the power grid during operation.

[0086] The tertiary indicators of the energy efficiency evaluation indicators include the comprehensive efficiency of the power station, the energy storage loss rate of the power station, the station power consumption rate, and the station power consumption.

[0087] The third-level indicators of the economic benefit evaluation index include the revenue from the electricity energy market, the revenue from the ancillary service market, the revenue from capacity leasing, and the static investment payback period.

[0088] The third-level indicators of the user benefit evaluation index include the scale of shared energy storage users and user revenue, reflecting the number of users of the shared energy storage power station and the savings revenue obtained by users.

[0089] The third-level indicators of the environmental benefit evaluation index include the new energy consumption rate and the reduction in carbon emissions.

[0090] Regarding the evaluation indicators of the above operating status, some indicators are related to user experience, etc. To reduce the impact of the adjustment of these indicators on the benefit evaluation results, the evaluation indicators of the operating status participate in the benefit evaluation with fixed weights.

[0091] Among them, the framework of the evaluation index system constructed in this embodiment is as Figure 2 shown.

[0092] After completing the construction of the evaluation index system for the shared energy storage power station, the subjective weights and objective weights of the third-level indicators are assigned through the subjective analytic hierarchy process and the objective entropy weight method, and then the combined weights of the subjective weights and objective weights are further assigned through the CRITIC method.

[0093] Based on the analytic hierarchy process and the entropy weight method, the corresponding subjective weights and objective weights are calculated respectively, and the combined weights are assigned by combining the CRITIC method, including:

[0094] Based on the technical parameter indicators, a hierarchical structure is established and the corresponding judgment matrix is constructed;

[0095] The judgment matrix is subjected to consistency verification to obtain the weight vector, and the weight vector is normalized to obtain the subjective weights of each technical parameter indicator;

[0096] The technical parameter indicator data is standardized, and the entropy value of each technical parameter indicator is calculated. The corresponding difference coefficient is solved, and the objective weights of each technical parameter indicator are obtained according to the difference coefficient.

[0097] For the judgment matrix in the subjective weights, the determination basis of each factor is shown in Table 1.

[0098] Table 1 Determination basis of each factor in the judgment matrix:

[0099]

[0100] The above first threshold range, second threshold range, third threshold range, and fourth threshold range increase in sequence and can be set according to actual needs.

[0101] Based on the determination basis described in Table 1, combined with the hierarchical structure of the evaluation index system of the constructed shared energy storage power station, a judgment matrix is constructed.

[0102] Calculate the maximum eigenvalue corresponding to the judgment matrix and its corresponding eigenvector , and perform a consistency check on the judgment matrix. The expression for the consistency check is:

[0103] ;

[0104] ;

[0105] where is the consistency index of the judgment matrix, is the maximum eigenvalue of the judgment matrix, is the order of the judgment matrix, is the consistency ratio of the judgment matrix, is the average random consistency index corresponding to the judgment matrix.

[0106] When , judge that it passes the consistency check, and then calculate the corresponding eigenvector as the subjective weight of the parameter index .

[0107] When , then it is necessary to reconstruct the judgment matrix until it passes the consistency check.

[0108] For the assignment process of the objective weight, it is necessary to first quantify the degree of disorder of each technical parameter index, and then calculate the entropy value of each technical parameter index. The calculation expression of the entropy value is:

[0109] ;

[0110] where is the entropy value of the th technical parameter index, is the adjustment coefficient, which is used to ensure that the entropy value ranges from [0, 1], is the number of technical parameter indexes, is the th standardized data of the parameter index.

[0111] Then, combined with the calculation results of the entropy value, solve the corresponding difference coefficient, and its expression is:

[0112] ;

[0113] where is the difference coefficient of the th technical parameter index.

[0114] According to the coefficient of variation, the objective weight value of the corresponding technical parameter index can be calculated, and its calculation formula is:

[0115] ;

[0116] where, is the objective weight value of the th technical parameter index.

[0117] After determining the subjective weight value and the objective weight value, the combination weight assignment can be further carried out by combining the CRITIC method, including:

[0118] Calculate the standard deviation of each technical parameter index and obtain the correlation coefficient between every two technical parameter indexes;

[0119] Calculate the information amount of each technical parameter index according to the standard deviation and the correlation coefficient;

[0120] Based on the information amount of each technical parameter index, combined with the corresponding subjective weight and objective weight, calculate the combination weight of each technical parameter index.

[0121] Among them, the expression for calculating the standard deviation is:

[0122] ;

[0123] where, is the standard deviation of the th technical parameter index, is the observed value of the th technical parameter index in the th sample, is the number of samples collected, is the average value of all sample observed values of the th technical parameter index

[0124] Further calculate the Pearson correlation coefficient between every two technical parameter indexes, and determine the conflict value between technical parameter indexes according to the calculation result of the correlation coefficient. Its expression is:

[0125] ;

[0126] where, is the conflict value between the th technical parameter index and other technical parameter indexes, is the th parameter index and the th technical parameter index

[0127] Combined with the above calculation results, the information content of each technical parameter index can be obtained:

[0128] ;

[0129] Among them, is the information content of the th technical parameter index.

[0130] Combined with the information content, subjective weight, and objective weight, the corresponding combined weight is calculated:

[0131] ;

[0132] Among them, is the combined weight of the i-th technical parameter index, is a preset parameter used to balance the influence of subjective weight and objective weight in the combined weight, is the th information content of the technical parameter index, is the th subjective weight of the technical parameter index, is the th objective weight of the technical parameter index, is the th information content of the technical parameter index, is the th subjective weight of the technical parameter index, is the th objective weight of the technical parameter index.

[0133] Moreover, in the process of assigning the above subjective weight and combined weight, the focus of benefit evaluation can be set according to requirements, and specifically, it can be achieved by adjusting the judgment matrix, preset parameters, etc.

[0134] After determining the combined weight of each technical parameter index, the technical parameter indexes for the benefit evaluation of the shared energy storage power station can be standardized and assigned, and then multiplied and summed with the corresponding combined weight. Combining the corresponding operation status technical indexes and corresponding weights, the final benefit evaluation score can be obtained to set the corresponding dispatching scheme for the shared energy storage power station according to the benefit evaluation result.

[0135] The dispatching scheme for the shared energy storage power station set according to the benefit evaluation result includes:

[0136] Obtain the operation information of each shared energy storage power station and the grid operation information of the corresponding connected grid;

[0137] Identify the dispatching requirements according to the grid operation information of the corresponding connected grid;

[0138] Based on the benefit assessment results and dispatching requirements, determine the regulation capacity of each shared energy storage power station according to the corresponding operation information;

[0139] Sort according to the benefit assessment results, set the participation degree of each shared energy storage power station according to the dispatching requirements and the corresponding regulation capacity, and obtain the dispatching plan of the shared energy storage power station.

[0140] Considering that after the shared energy storage power station is connected to the power grid, it can not only realize the auxiliary power supply during the peak load period, but also realize the auxiliary output consumption during the peak period of new energy power generation. It undertakes different dispatching identities in different links of power grid dispatching. When facing different dispatching identities, the regulation capacity that the shared energy storage power station can provide is also different. Therefore, first identify the current dispatching requirements according to the power grid operation information corresponding to the access to the power grid, and then determine the specific regulation capacity of the shared energy storage power station to accurately set the participation degree of each shared energy storage power station in power grid dispatching.

[0141] Among them, the power grid operation information at least includes load demand, new energy output, voltage stability, frequency fluctuation, line power flow, etc. Through the power grid operation information, long-term and short-term forecasts of the power grid load are carried out to identify the dispatching requirements of the power grid, such as whether it is necessary to increase or decrease the power supply capacity of the power grid to cope with load fluctuations or power grid faults. Then, based on the power grid dispatching requirements, determine the specific load amount that the shared energy storage power station needs to participate in regulation.

[0142] After determining the dispatching requirements of the power grid, determine the dispatching identity of the shared energy storage power station. On the premise of determining the corresponding dispatching identity, determine the regulation capacity of each shared energy storage power station in combination with the operation information of the shared energy storage power station.

[0143] Specifically, the regulation capacity of the shared energy storage power station, such as the maximum charge-discharge power and duration, can be determined through the battery health status, charge-discharge rate limit of the shared energy storage power station and the safety constraints of the power grid.

[0144] Then, sort the shared energy storage power stations according to the efficiency assessment results. According to the dispatching requirements and the corresponding regulation capacity, with the goal of maximizing the utilization of the regulation capacity of the shared energy storage power station, starting from the shared energy storage power station with the highest benefit, determine its participation degree in power grid dispatching, that is, the charge-discharge power and duration that the shared energy storage power station needs to provide.

[0145] After determining the dispatching plan, control each shared energy storage power station to participate in power grid dispatching according to the content of the dispatching plan, and during its execution, obtain the changes in the parameter index values of each shared energy storage power station in real time to identify abnormal situations during the operation of the shared energy storage power station.

[0146] Among them, implementing the dispatching plan and obtaining the changes in the technical parameter index values of each shared energy storage power station include:

[0147] Obtain the scheduling objectives of the scheduling plan, and calculate the sensitivity between each technical parameter index and the scheduling objectives;

[0148] According to the calculated results of the sensitivity corresponding to each technical parameter index, set the feedback time nodes of each technical parameter index;

[0149] Every time a feedback time node is reached, collect the corresponding technical parameter index values;

[0150] According to the technical parameter index values at each feedback time node, determine the change situation of the technical parameter index values of each shared energy storage power station.

[0151] Through the scheduling objectives of the scheduling plan, calculate the sensitivity between each technical parameter index and the scheduling objectives, and judge the magnitude of the fluctuations of each technical parameter index affected by the grid scheduling.

[0152] Among them, for the calculation of sensitivity, statistical methods such as regression analysis and correlation analysis can be used to calculate the correlation degree between each technical parameter index and the scheduling objectives. The higher the correlation degree, the more frequent its numerical fluctuations.

[0153] Therefore, according to its sensitivity, set the corresponding feedback time nodes for each technical parameter index to set the monitoring frequency of each technical parameter index, and the corresponding technical parameter index values can be collected at key time points, improving the monitoring efficiency of the shared energy storage power station.

[0154] Collect the technical parameter index values at each feedback time node to determine the change situation of the technical parameter index values of the shared energy storage power station, then identify the operation fluctuations that occur during the scheduling process according to the change situation of the technical parameter index values, and correspondingly adjust the corresponding combined weights to re-evaluate the operation benefits of each shared energy storage power station, adjust the scheduling plan, while ensuring the stable operation of the power grid, ensuring the operation safety of the shared energy storage power station, and improving the utilization rate of energy storage resources.

[0155] Considering that the change of the technical parameter index value of the shared energy storage power station is not only affected by abnormal situations, but may also be affected by the fluctuations of the evaluation indicators associated with it. Substantially, it has nothing to do with the abnormal situations in the shared energy storage power station's participation in grid scheduling, and there is a certain deviation between its technical parameter index value and the actual situation. For the adjustment of the combined weights, it should be aimed at the change of the technical parameter index value affected by abnormal situations to focus on the abnormal situations of the shared energy storage power station. For other parameter index values that fluctuate due to the fluctuations of other associated index values, if the combined weights are directly re-assigned according to their fluctuated parameter index values, it is very likely to affect the accuracy of the combined weight assignment results.

[0156] Therefore, before adjusting the corresponding combination weights, the technical parameter index values are corrected first to reduce the influence of the changes in the technical parameter index values unrelated to the abnormal reasons on the combination weight assignment results, and to ensure the accuracy of reassigning the combination weights.

[0157] Among them, the correction of the technical parameter index values and the adjustment of the combination weights according to the changes in the technical parameter index values include:

[0158] Based on the changes in the technical parameter index values, identify the abnormal parameter indexes whose technical parameter index values are zero or the change degree of the technical parameter index values exceeds the corresponding degree threshold;

[0159] According to the technical parameter index types of the abnormal parameter indexes and the changes in their technical parameter index values, divide the shared energy storage power stations to be shut down and the shared energy storage power stations to be adjusted;

[0160] According to the corresponding abnormal parameter indexes and their technical parameter index values, correct the technical parameter indexes of the shared energy storage power stations to be adjusted, and adjust the combination weights of each technical parameter index;

[0161] Perform shutdown processing on the shared energy storage power stations to be shut down, and zero the corresponding benefit evaluation values.

[0162] When the technical parameter index value is zero, this usually means that the equipment or function corresponding to this index has a serious failure or interruption. For example, if the power quantity index of an energy storage power station suddenly becomes zero, it may indicate a failure of the power quantity measurement device or that the energy storage battery pack is completely emptied and there is an abnormality.

[0163] The degree threshold is a threshold obtained based on the statistical analysis of historical data and the normal operation range. Each technical parameter index has its fluctuation range in the normal operation state. When the change degree exceeds this range, it may mean that there is an abnormal situation. For example, for the power index of an energy storage power station, if its rising or falling amplitude within a short period exceeds the preset reasonable fluctuation threshold, there may be abnormal control of power electronic equipment or abnormal interference from the external power grid.

[0164] Therefore, first screen out the abnormal parameter indexes whose technical parameter index values are zero or the change degree of the technical parameter index values exceeds the corresponding degree threshold to determine the abnormal situation of the shared energy storage power station, and then further judge whether it is necessary to shut down the shared energy storage power station to solve the corresponding abnormal situation under the corresponding abnormal situation, and whether the dispatching gap caused by the abnormality of the shared energy storage power station can be compensated by adjusting the dispatching plan.

[0165] Specifically, the division of the shared energy storage power stations to be shut down and the shared energy storage power stations to be adjusted according to the technical parameter index types of the abnormal parameter indexes and the changes in their technical parameter index values includes:

[0166] Set outage indicators and outage conditions according to the dispatching plan and the technical constraints of the shared energy storage power station;

[0167] Calculate the outage indicator values of the corresponding shared energy storage power station according to the type of technical parameter indicators of the abnormal technical parameter indicators and the change of their technical parameter indicator values;

[0168] When at least one outage indicator value meets the outage condition, determine that the corresponding shared energy storage power station is a shared energy storage power station to be shut down;

[0169] In other cases, determine that the corresponding shared energy storage power station is a shared energy storage power station to be adjusted.

[0170] According to the dispatching requirements of the dispatching plan, outage indicators for which the shared energy storage power station cannot meet the dispatching plan requirements can be set. For example, if the dispatching plan requires the shared energy storage power station to maintain a certain power output during a specific period to ensure the stable operation of the power grid, then when the shared energy storage power station still cannot meet the power output requirement after adjustment, it needs to be shut down.

[0171] There are also various technical constraints during the operation of the shared energy storage power station to ensure its operation safety, such as the health state, state of charge, and temperature of the battery. When such values exceed the safe operation range, shutdown processing is required to avoid safety problems.

[0172] In this embodiment, the outage parameters and technical parameter indicators can adopt different parameters or the same parameters, which can be adjusted according to the actual situation.

[0173] Specifically, in this embodiment, parameters such as the health state of the battery, battery temperature, and charge and discharge power of the shared energy storage power station are set as outage indicators, and then combined with their normal fluctuation ranges during normal operation, corresponding outage conditions are set. When the outage indicators exceed the corresponding normal fluctuation ranges, it can be determined that they meet the outage conditions.

[0174] Then calculate the outage indicator values of the corresponding shared energy storage power station according to the type of parameter indicators of the abnormal parameter indicators and the change of their parameter indicator values.

[0175] For example, for the health state of the battery, it can be calculated according to parameter indicator values such as the number of operation times of the shared energy storage power station and the battery life attenuation rate.

[0176] Through the judgment of the outage indicator values, the shared energy storage power stations to be shut down that need to be shut down can be identified. Considering that the shared energy storage power stations to be shut down need to be shut down for abnormal handling and cannot participate in the power grid dispatching anymore, directly set their benefit evaluation values to zero to avoid affecting the adjustment of the dispatching plan.

[0177] For a shared energy storage power station that does not meet the shutdown conditions, whose operation anomaly does not reach the level that requires shutdown and adjustment, the generated dispatching gap can be compensated by adjusting the dispatching plan. Therefore, for the to-be-adjusted shared energy storage power station, according to the corresponding anomaly parameter indicators and their technical parameter indicator values, correct the technical parameter indicators of the to-be-adjusted shared energy storage power station, and adjust the combined weights of each technical parameter indicator, including:

[0178] Based on the anomaly parameter indicators and their technical parameter indicator values, identify the anomaly causes of the shared energy storage power station;

[0179] Calculate the first correlation relationship between each other technical parameter indicator and the anomaly cause;

[0180] Calculate the second correlation relationship between the anomaly parameter indicator and each other technical parameter indicator;

[0181] Identify the to-be-corrected technical parameter indicators according to the first correlation relationship and the second correlation relationship;

[0182] Obtain the correlation degree between the to-be-corrected technical parameter indicator and the anomaly parameter indicator, and combine with the technical parameter indicator value of the anomaly parameter indicator to correct the technical parameter indicator value of the to-be-corrected technical parameter indicator;

[0183] Adjust the combined weights of each technical parameter indicator according to the anomaly parameter indicator and the corrected technical parameter indicator value of the to-be-corrected technical parameter indicator.

[0184] When the shared energy storage power station is operating, the technical parameter indicators can reflect its performance and status. When there are anomaly parameter indicators, the anomaly causes that lead to the appearance of the anomaly parameter indicators can be determined through comprehensive analysis of multi-source information such as the operation logs of the power station equipment, environmental monitoring data, and equipment maintenance records.

[0185] Calculate the first correlation relationship between each other technical parameter indicator and the anomaly cause to determine that the index value fluctuation is directly related to the anomaly cause, and itself may have an abnormal state or although there is no obvious abnormality but there has been a fluctuation, and it is related to the reason for the reduction of the power station operation benefit, and the first correlation parameter indicator that requires weight bias.

[0186] Then calculate the second correlation relationship between the anomaly parameter indicator and each other technical parameter indicator to determine the second correlation parameter indicator whose index value fluctuation is directly related to the change of the anomaly parameter indicator, and the index value may deviate from the actual situation and is not directly related to the reduction of the shared energy storage power station operation benefit.

[0187] Then identify the to-be-corrected technical parameter indicators according to the first correlation relationship and the second correlation relationship, including:

[0188] Based on the first correlation relationship, screen the first correlation technical parameter indicators related to the anomaly cause;

[0189] Screen the second associated technical parameter indicators associated with the abnormal parameter indicators based on the second association relationship;

[0190] Match the second associated technical parameter indicators with the first associated technical parameter indicators, and use the technical parameter indicators in the second associated technical parameter indicators that do not match the first associated technical parameter indicators as the technical parameter indicators to be corrected.

[0191] For the technical parameter indicators in the second associated parameter indicators that do not match the first associated parameter indicators, the change in the technical parameter indicator value is caused by the fluctuation of the abnormal parameter indicators, rather than directly caused by abnormal reasons. There is no need for weight bias. Through correction, the influence brought by the fluctuation of the abnormal parameter indicators can be eliminated, so that the technical parameter indicators can more accurately reflect the actual operation state of the power station and ensure the accuracy of the subsequent re-assignment of the combined weight.

[0192] Obtain the degree of association between the technical parameter indicators to be corrected and the abnormal parameter indicators, and combine the technical parameter indicator value of the abnormal parameter indicators to correct the technical parameter indicator value of the technical parameter indicators to be corrected, including:

[0193] Based on the degree of association between the technical parameter indicators to be corrected and the abnormal parameter indicators, select the correction method for the technical parameter indicators to be corrected;

[0194] Set the correction coefficient for the corresponding correction method according to the degree of association, and combine the technical parameter indicator value of the corresponding abnormal parameter indicators to correct the technical parameter indicator value of the technical parameter indicators to be corrected.

[0195] If the degree of association between the technical parameter indicators to be corrected and the abnormal parameter indicators is low or the change in the technical parameter indicator value is small, a linear correction method can be adopted, that is, adjust the technical parameter indicators to be corrected according to a certain proportion or a fixed value.

[0196] If the degree of association between the technical parameter indicators to be corrected and the abnormal parameter indicators is high or the change in the technical parameter indicator value is large, a non-linear correction method needs to be adopted, such as using exponential functions, logarithmic functions, or through models such as neural networks, to more accurately reflect the complex relationship between the technical parameter indicators and ensure the accuracy of the subsequent correction results.

[0197] After determining the correction method, set the corresponding correction coefficient according to the degree of association, such as correction ratio, threshold range, etc.

[0198] Then combine the technical parameter indicator value of the corresponding abnormal parameter indicators to correct the technical parameter indicator value of the technical parameter indicators to be corrected, so that the technical parameter indicator value of the technical parameter indicators to be corrected can be closer to the actual situation.

[0199] After the correction of the implementation technical parameter index values, recalculate the subjective weight and objective weight, and then reassign the combined weight.

[0200] Combined with the newly obtained combined weight, evaluate the benefits of each shared energy storage power station, and adjust the dispatching plan according to the benefit evaluation results, including the shared energy storage power stations participating in the grid dispatching and their corresponding participation degrees.

[0201] Among them, the dispatching requirements of the dispatching plan also need to be adjusted according to the abnormal operation of the shared energy storage power station. On the original basis, add the dispatching gap caused by the abnormality of the shared energy storage power station, and adjust the dispatching plan with the adjusted dispatching requirements.

[0202] And in this embodiment, the identification of abnormal parameter indicators is carried out in real time. Once abnormal parameter indicators are identified and there are shared energy storage power stations to be adjusted, the corresponding correction of technical parameter indicators and adjustment of combined weights can be executed to ensure the safe operation of the shared energy storage power station and the stable operation of the power grid.

[0203] And the above identification of abnormal parameter indicators stops executing after the dispatching plan is completed.

[0204] The above-described embodiments are only a preferred solution of the present invention, and do not impose any form of limitation on the present invention. There are other variations and modifications without exceeding the technical solutions recorded in the claims.

Claims

1. A scheduling method for a shared energy storage power station based on benefit evaluation, characterized in that Including: Setting parameter indicators for the benefits of the shared energy storage power station; Calculating the corresponding subjective weight and objective weight respectively based on the analytic hierarchy process and the entropy weight method, and performing combined weight assignment by combining the CRITIC method to obtain the combined weights of each technical parameter indicator; According to the technical parameter indicator values and the corresponding combined weights, combined with the predetermined operating state indicators and the corresponding weights, evaluating the benefits of the shared energy storage power station, and setting the dispatching scheme of the shared energy storage power station according to the benefit evaluation results; Executing the dispatching scheme and obtaining the changes in the technical parameter indicator values of each shared energy storage power station; Correcting the technical parameter indicator values and adjusting the combined weights according to the changes in the technical parameter indicator values; Re-obtaining the benefit evaluation results of the shared energy storage power station and adjusting the dispatching scheme of the shared energy storage power station; The correcting the technical parameter indicator values and adjusting the combined weights according to the changes in the technical parameter indicator values includes: Based on the changes in the technical parameter indicator values, identifying abnormal parameter indicators where the technical parameter indicator values are zero or the degree of change in the technical parameter indicator values exceeds the corresponding degree threshold; Dividing the shared energy storage power stations to be shut down and the shared energy storage power stations to be adjusted according to the types of the technical parameter indicators of the abnormal parameter indicators and the changes in their technical parameter indicator values; According to the corresponding abnormal parameter indicators and their technical parameter indicator values, correcting the technical parameter indicators of the shared energy storage power stations to be adjusted and adjusting the combined weights of each technical parameter indicator; Performing shutdown processing on the shared energy storage power stations to be shut down and zeroing the corresponding benefit evaluation values.

2. The scheduling method of the shared energy storage power station based on benefit evaluation according to claim 1, wherein The correcting the technical parameter indicators of the shared energy storage power stations to be adjusted and adjusting the combined weights of each technical parameter indicator according to the corresponding abnormal parameter indicators and their technical parameter indicator values includes: Based on the abnormal parameter indicators and their technical parameter indicator values, identifying the causes of the abnormalities of the shared energy storage power stations; Calculating the first correlation relationship between each other technical parameter indicator and the cause of the abnormality; Calculating the second correlation relationship between the abnormal parameter indicator and each other technical parameter indicator; Identifying the technical parameter indicators to be corrected according to the first correlation relationship and the second correlation relationship; Obtaining the correlation degree between the technical parameter indicators to be corrected and the abnormal parameter indicators, and combining the technical parameter indicator values of the abnormal parameter indicators to correct the technical parameter indicator values of the technical parameter indicators to be corrected; Adjusting the combined weights of each technical parameter indicator according to the abnormal parameter indicators and the technical parameter indicator values after correction of the technical parameter indicators to be corrected.

3. The scheduling method of the shared energy storage power station based on benefit evaluation according to claim 2, wherein, The identifying the technical parameter indicators to be corrected according to the first correlation relationship and the second correlation relationship includes: Screening the first correlated technical parameter indicators associated with the cause of the abnormality based on the first correlation relationship; Screening the second correlated technical parameter indicators associated with the abnormal parameter indicators based on the second correlation relationship; Matching the second correlated technical parameter indicators with the first correlated technical parameter indicators, and taking the technical parameter indicators in the second correlated technical parameter indicators that do not match the first correlated technical parameter indicators as the technical parameter indicators to be corrected.

4. The scheduling method of the shared energy storage power station based on benefit evaluation according to claim 2, wherein, The obtaining the correlation degree between the technical parameter indicators to be corrected and the abnormal parameter indicators, and combining the technical parameter indicator values of the abnormal parameter indicators to correct the technical parameter indicator values of the technical parameter indicators to be corrected includes: Select the correction method for the technical parameter index to be corrected based on the degree of association between the technical parameter index to be corrected and the abnormal parameter index; Set the correction coefficient for the corresponding correction method according to the degree of association, and correct the technical parameter index value of the technical parameter index to be corrected by combining the technical parameter index value of the corresponding abnormal parameter index.

5. The scheduling method of the shared energy storage power station based on benefit evaluation according to claim 1, wherein Dividing the shared energy storage power stations to be shut down and the shared energy storage power stations to be adjusted according to the technical parameter index type of the abnormal parameter index and the change situation of its technical parameter index value, including: Set the shutdown index and shutdown conditions according to the dispatching plan and the technical constraints of the shared energy storage power station; Calculate the shutdown index value of the corresponding shared energy storage power station according to the technical parameter index type of the abnormal technical parameter index and the change situation of its technical parameter index value; When at least one shutdown index value meets the shutdown conditions, determine that the corresponding shared energy storage power station is a shared energy storage power station to be shut down; In other cases, determine that the corresponding shared energy storage power station is a shared energy storage power station to be adjusted.

6. The scheduling method of the shared energy storage power station based on benefit evaluation according to claim 1, characterized in that Setting the dispatching plan of the shared energy storage power station according to the benefit evaluation result, including: Obtain the operation information of each shared energy storage power station and the grid operation information of the corresponding connected power grid; Identify the dispatching requirements according to the grid operation information of the corresponding connected power grid; Based on the benefit evaluation result and the dispatching requirements, determine the regulation capacity of each shared energy storage power station according to the corresponding operation information; Sort according to the benefit evaluation result, set the participation degree of each shared energy storage power station according to the dispatching requirements and the corresponding regulation capacity, and obtain the dispatching plan of the shared energy storage power station.

7. The scheduling method of the shared energy storage power station based on benefit evaluation according to claim 1, wherein, Execute the dispatching plan and obtain the change of the technical parameter index value of each shared energy storage power station, including: Obtain the dispatching target of the dispatching plan, and calculate the sensitivity between each technical parameter index and the dispatching target; Set the feedback time node of each technical parameter index according to the sensitivity calculation result corresponding to each technical parameter index; Each time a feedback time node is reached, collect the corresponding technical parameter index value; Determine the change situation of the technical parameter index value of each shared energy storage power station according to the technical parameter index value at each feedback time node.

8. The scheduling method of the shared energy storage power station based on benefit evaluation according to claim 1, wherein Calculating the corresponding subjective weight and objective weight respectively based on the analytic hierarchy process and the entropy weight method, and combining the CRITIC method for combined weight assignment, including: Establish a hierarchical structure based on the technical parameter index and construct the corresponding judgment matrix; Perform consistency verification on the judgment matrix, obtain the weight vector, and perform normalization processing on the weight vector to obtain the subjective weight of each technical parameter index; Perform standardization processing on the technical parameter index data, calculate the entropy value of each technical parameter index, solve the corresponding difference coefficient, and obtain the objective weight of each technical parameter index according to the difference coefficient.

9. The scheduling method of the shared energy storage power station based on benefit evaluation according to claim 8, characterized in that Calculating the corresponding subjective weight and objective weight respectively based on the analytic hierarchy process and the entropy weight method, and combining the CRITIC method for combined weight assignment, further including: Calculate the standard deviation of each technical parameter index and obtain the correlation coefficient between every two technical parameter indexes; Calculate the information amount of each technical parameter index according to the standard deviation and the correlation coefficient; Based on the information amount of each technical parameter index, combine the corresponding subjective weight and objective weight to calculate the combined weight of each technical parameter index.

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