Subjective and objective evaluation method and system for black-start power supply of new energy power system

Abstract

The invention belongs to the technical field of emergency recovery of an electric power system coping with extreme disasters, and discloses a new energy electric power system black-start power supply subjective and objective evaluation method and system, and the method comprises the following specific steps: 1, calculating a weight through a CRITIC method, obtaining all indexes in an index system of a conventional black-start power supply and a new energy black-start power supply through a daily power station, and calculating the weight; and the variability of each index is displayed by calculating the standard deviation. The index provided by the invention is suitable for a traditional black-start power supply and a new energy black-start power supply; the CRTIC method is adopted for objective weighting, conflicts among indexes are considered, relevance among the indexes is also considered, and subjective weights are added by using the analytic hierarchy process, so that the finally obtained comprehensive weights give consideration to subjective experience and objective basis, and evaluation is more scientific; the improved TOPSIS method is adopted for sorting, the situation that ranking is difficult to evaluate due to approximate relative closeness of traditional TOPSIS can be processed, and the evaluation result is more obvious.

Description

Technical Field

[0001] The present invention belongs to the technical field of emergency recovery of power systems in response to extreme disasters, and specifically provides a subjective and objective evaluation method and system for black start power supplies of new energy power systems. Background Art

[0002] There are two main factors that cause major power outages today. On the one hand, extreme weather and natural disasters often cause major power outages. On the other hand, large-scale power outages are caused by power generation equipment failures, power system errors, etc. The implementation of a scientific and reasonable power system restoration plan is an important guarantee for quickly restoring system power supply and reducing economic losses. Research on power system restoration is of great significance for ensuring basic social life order, maintaining economic stability, and enhancing energy security and national security. According to the different main optimization goals in different restoration periods, the power system restoration process is generally divided into three stages: power supply black start, grid reconstruction and load restoration. Among them, power supply black start is the starting point of the entire system recovery process, and its performance greatly affects the effectiveness of subsequent recovery plans. The evaluation directions of traditional black start power supplies mainly include load capacity evaluation, self-starting capability evaluation, frequency and voltage regulation capability evaluation, etc. The comprehensive evaluation method of black start power supplies mainly uses hierarchical analysis method, entropy weight method and other methods to calculate indicator weights and comprehensive scores.

[0003] Existing evaluation methods mostly rely on subjectivity or lack objective persuasiveness, and there is still a lack of a scientific and objective comprehensive evaluation method for black start power supplies. With the rapid development of renewable energy power generation technologies such as solar energy, wind energy, and tidal energy, the types of black start power supplies have been expanded. Therefore, the black start types of new energy power systems can be rich and diverse. Existing studies have only used one or two types of new energy as black start power supplies to participate in the power system restoration process, but have not reasonably quantified the black start capability of new energy power supplies. At present, there is still a lack of indicators and method systems that can evaluate both traditional black start power supplies and new energy black start power supplies. Summary of the Invention

[0004] The purpose of the present invention is to provide a subjective and objective evaluation method and system for black start power supply of a new energy power system, so as to solve the problems raised in the above background technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a subjective and objective evaluation method for black start power supply of a new energy power system, the specific steps of which are as follows: Step 1: Calculate weights using the CRITIC method The indicators in the index system of traditional black start power supply and new energy black start power supply are obtained through daily power stations. The variability of each indicator is displayed by calculating the standard deviation. Then, the conflict between the indicators is calculated and the indicator weights are assigned. The specific calculation method is as follows: Construct a data matrix and standardize the indicator data; To account for variability, the standard deviation of each indicator was calculated; Considering the conflict, calculate the Pearson correlation coefficient matrix; Combine variability and conflict to calculate the comprehensive information content; Calculate the weight of each evaluation indicator; Step 2: Improved TOPSIS ranking The method of ranking using the improved TOPSIS method is as follows: Construct a weighted normative matrix; Find the positive ideal solution for each indicator and negative ideal solution ; Calculate the Euclidean space distance of each evaluation index data to the positive ideal solution and the negative ideal solution; When the evaluation object is on the perpendicular bisector between the positive ideal solution and the negative ideal solution, the relative distance is introduced to quantify the evaluation results; Calculate relative proximity and then rank; Step 3: CRTIC-improved TOPSIS combination method; Step 4: Case analysis and verification The effectiveness of this method is verified by simulation using an IEEE 30-bus transmission test system.

[0006] As a preferred technical solution of the present invention, when the index data is standardized in step 1: Positive indicators are processed in a positive way, and negative indicators are processed in a negative way; Add the absolute value to the Pearson correlation coefficient, and the formula is as follows:

[0007] Where M is the total number of indicators.

[0008] As a preferred technical solution of the present invention, the weighted normalized matrix construction method described in step 2 is: multiplying the standardized data under each type of indicator by the weight of the corresponding indicator, Quantitative evaluation results of the relative distance L described in step 2:

[0009] Where L represents the relative distance, 、 are the Euclidean space distances of the positive ideal solution and the negative ideal solution, respectively.

[0010] As a preferred technical solution of the present invention, the IEEE 30-node transmission test system described in step 4 has a total of 6 generator sets and 30 branches, including line and transformer branches. Three of the generator sets are improved, and the hydropower set is connected to node 8, the WT wind power-energy storage station is connected to node 11, and the PV photovoltaic-energy storage station is connected to node 13. The rest are non-black start units.

[0011] As a preferred technical solution of the present invention, the system is a method for evaluating black-start power supplies for a new energy power system. The system comprises seven main components: an index system applicable to traditional black-start power supplies and new energy black-start power supplies. The implementation plan processes data using an Execl table, uses the AHP method to obtain subjective weights (subjective method components), uses the CRITIC method to obtain objective weights, and then obtains comprehensive weights. The black-start power supplies are then ranked by quality using an improved TOPSIS method to complete the evaluation. The index system for traditional black-start power supplies and new energy black-start power supplies includes: a self-starting capability evaluation index of the black-start power supply, an evaluation index for the load carrying capacity for non-black units, a rapidity evaluation index, and a stability evaluation index. The self-starting capability evaluation index of the black-start power supply includes the total capacity and ramp speed of the black-start power supply; the load carrying capacity evaluation index for non-black units includes the target power load time and the target time load power; the rapidity evaluation index includes the shortest path and start time; and the stability evaluation index includes the active power fluctuation rate.

[0012] As a preferred technical solution of the present invention, the total capacity of the black start power supply is the sum of the capacities of a black start power supply, in MW; the ramp speed refers to the rate of increase of the active power of the black start power supply, in MW / min. For traditional black start power supplies and energy storage power supplies, collectively referred to as first-class black start power supplies, the ramp speed is , the calculation formula is as follows:

[0013] For new energy black start, its power time characteristic curve is fluctuating. Black start power supplies or new energy plus energy storage power supplies with this characteristic are collectively referred to as the second type of black start power supply. In order to meet the minimum requirements, according to the target required load power Select a point in the power time characteristic curve ( , 0) and the point where the target load power is first reached ( , ), the ramp rate of the second type of black start power supply is obtained according to the method for calculating the ramp rate of the first type of black start power supply. The calculation formula is as follows:

[0014] Where, is the target load power, is the power supply startup time, The time it takes for the power output to reach the target load power.

[0015] As a preferred technical solution of the present invention, the target power load time refers to the time during which the black start power supply can meet the requirement of continuous operation under the power requirement of the started generator set; the target time load power refers to the maximum power during which the black start power supply can meet the requirement of continuous operation under the time requirement of the started generator set. For the first type of black start power supply, the target power load time is:

[0016] For the second type of black start power supply, since the power supply cannot be interrupted, the target power load time is the maximum value of each time period that meets the target power:

[0017] Where, Indicates the target power loading time, The maximum value of the target power in each period of time.

[0018] For the first type of black start power supply, the target time load power is Pmax and the target time is Te. For the second type of black start power supply, the target time load power meets the target time Te and the corresponding maximum output is Pmax.

[0019] As a preferred technical solution of the present invention, the shortest path represents the time required for power transmission between nodes, in minutes. The shortest path from the black start power supply through multiple nodes to the target started unit is calculated by the Dijkstra algorithm. For multiple started target started units, the shortest path is the sum of the shortest paths from the black start unit to each target started unit; the startup time refers to the time required for the black start power supply to transmit power to the power grid from startup.

[0020] As a preferred technical solution of the present invention, the active power fluctuation rate reflects the fluctuation of the active power of the black start power supply, and the calculation method is as follows: Connect the maximum point to the minimum point in sequence to get a broken line graph, and calculate the absolute value of the difference between each two adjacent points, which is recorded as , where n represents the number of differences, and then record , The formula for calculating volatility is as follows:

[0021] Where, is the total capacity.

[0022] The beneficial effects of the present invention are as follows: The present invention solves the one-sidedness of relying too much on subjective or objective evaluation by using AHP and CRITIC methods for comprehensive weighting in the indicator weighting method, and solves the problem of poor applicability of quantifying the performance of new energy black start power supplies by evaluating new energy black start power supplies such as photovoltaics and wind turbines in calculation examples; the indicators proposed by the present invention are applicable to both traditional black start power supplies and new energy black start power supplies; the CRTIC method is used for objective weighting, which not only considers the conflict between indicators but also the correlation between indicators compared with the traditional entropy weight method, and the hierarchical analysis method is used to add subjective weights, so that the final comprehensive weight takes into account both subjective experience and objective basis, and the evaluation is more scientific; the improved TOPSIS method is used for sorting, which can deal with the situation where the traditional TOPSIS method is relatively close and approximate and difficult to evaluate the ranking, so that the evaluation results are more obvious. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 TOPSIS method principle diagram of the present invention; Figure 2 This is the principle diagram of the improved TOPSIS method of the present invention; Figure 3 This is the circuit diagram of the IEEE30 example test system of the present invention; Figure 4 A relative proximity table calculated using the method of the present invention; Figure 5 sorting result tables for different methods; Figure 6 This is a comparison table of weighting between the CRITIC method and the entropy weight method of the present invention; Figure 7 This is a graph showing the power-time characteristic curve of the first type of black start power supply of the present invention; Figure 8 This is a graph showing the power-time characteristic curve of the second type of black start power supply of the present invention; Figure 9 This is a target power load time diagram of the first type of black start power supply of the present invention; Figure 10 This is a target power load time diagram of the second type of black start power supply of the present invention; Figure 11 This is the target time load power diagram of the first type of black start power supply of the present invention; Figure 12 This is the target time load power diagram of the second type of black start power supply of the present invention; Figure 13 This is a line graph of the active power of the black start power supply of the present invention; Figure 14Construct a comprehensive evaluation index system table of black start power supply for the present invention; Figure 15 Flowchart of the present invention; Figure 16 The present invention provides a flow chart of a subjective and objective evaluation method system for a black start power supply of a new energy power system. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0025] like Figures 1 to 16 As shown, the embodiment of the present invention provides a subjective and objective evaluation method for black start power supply of a new energy power system, and the specific steps are as follows: Step 1: Calculate weights using the CRITIC method The indicators in the index system of traditional black start power supply and new energy black start power supply are obtained through daily power stations. The variability of each indicator is displayed by calculating the standard deviation. Then, the conflict between the indicators is calculated and the indicator weights are assigned. The specific calculation method is as follows: Construct a data matrix and standardize the indicator data; To account for variability, the standard deviation of each indicator was calculated; Considering the conflict, calculate the Pearson correlation coefficient matrix; Combine variability and conflict to calculate the comprehensive information content; Calculate the weight of each evaluation indicator; Step 2: Improved TOPSIS ranking The method of ranking using the improved TOPSIS method is as follows: Construct a weighted normative matrix; Find the positive ideal solution for each indicator and negative ideal solution ; Calculate the Euclidean space distance of each evaluation index data to the positive ideal solution and the negative ideal solution; When the evaluation object is on the perpendicular bisector between the positive ideal solution and the negative ideal solution, the relative distance L is introduced to quantify the evaluation results; Calculating relative proximity , and then rank; Step 3: CRTIC-improved TOPSIS combination method; Step 4: Case analysis and verification The effectiveness of this method is verified by simulation using an IEEE 30-bus transmission test system.

[0026] The CRITIC weighting method adopted in this method is an objective weighting method that can efficiently use objective data for weighting. At the same time, this method determines the weights based on the characteristics of the data itself, and the results are more objective. In addition, the use of the improved TOPSIS method can obtain objective and accurate evaluation results, effectively compare the advantages and disadvantages of the schemes, and is applicable to traditional and new energy fields, thereby effectively solving the problems of the one-sidedness of existing evaluation methods that rely more on subjective or objective evaluation and the poor applicability of quantifying the performance of new energy black start power supplies.

[0027] Among them, when standardizing the indicator data in step 1: Positive indicators are processed in a positive way, and negative indicators are processed in a negative way; Add the absolute value to the Pearson correlation coefficient, and the formula is as follows:

[0028] Where M is the total number of indicators.

[0029] The weighted normalized matrix construction method in step 2 is: multiply the standardized data under each type of indicator by the weight of the corresponding indicator. Quantitative evaluation results of the relative distance L in step 2:

[0030] Where L represents the relative distance, 、 are the Euclidean space distances of the positive ideal solution and the negative ideal solution, respectively.

[0031] Figure 1 The two points e and f represent the evaluation objects of the TOPSIS method. After calculation, it can be seen that the relative closeness of the two is 1 / 2. At this time, the relative closeness cannot be used to measure the pros and cons of the two. Therefore, it is necessary to introduce the relative distance L to quantify the evaluation results. Figure 2 This is the principle of the improved TOPSIS method. In the figure, the X-axis represents the Euclidean distance between the evaluation object and the positive ideal solution, and the Y-axis represents the Euclidean distance between the evaluation object and the negative ideal solution. Points A and C represent the positive and negative ideal reference points, respectively. Points B and D represent the range of Euclidean distances between the evaluation object and the positive and negative ideal solutions. Using relative distance instead of relative closeness can make up for the shortcomings of relative closeness, objectively quantify the evaluation results, and improve the applicability of the TOPSIS comprehensive evaluation algorithm.

[0032] The IEEE 30-node transmission test system in step 4 has six generators and 30 branches, including line and transformer branches. Three of the generators were improved, with the hydropower unit connected to node 8, the WT wind power-storage station connected to node 11, and the PV photovoltaic-storage station connected to node 13. The remaining units are non-black start units.

[0033] In order to test the black start potential of system power supplies GT, WT, and PV, it is necessary to conduct a black start performance evaluation on them, thereby providing a reference for black start power supply selection for system recovery decisions. Figure 4 The results of the black start power supply evaluation by the CRITIC-improved TOPSIS method are GT, WT, PV from best to worst; Figure 5 As can be seen from the table, the ranking results of the CRITIC-improved TOPSIS method are the same as those of the CRITIC method, the entropy weight method, and the entropy weight-TOPSIS method. The results of all methods show that GT has the best black start performance, followed by PV, and WT has the worst performance. However, there are some differences between different methods in the evaluation process. Figure 6 In the data analysis, the CRITIC method and the entropy weight method assign different weights to different indicators under the same data. In this example, the entropy weight method assigns the largest weight to the indicator of climbing speed, accounting for 20.56%; in the CRITIC method, the weight assigned is only 11.45%; in the CRITIC method, the weight assigned to the indicator of start-up time is as high as 24.12%; while in the entropy weight method, the weight is only 12.46%. This is because the entropy weight method and the CRITIC method have different ideas when constructing weights. The CRITIC method not only considers the impact of variation, but also the impact of correlation, reduces the information overlap between indicators, and obtains more reliable weights. At the same time, the improved TOPSIS ranking method uses the distance between the target solution and the best solution and the worst solution as the basis for evaluation, and performs more scientific and objective ranking.

[0034] like Figures 1 to 16As shown, an embodiment of the present invention further provides a system of subjective and objective evaluation methods for black-start power supplies in a new energy power system. The system is a method for evaluating black-start power supplies in a new energy power system. The system mainly comprises seven index systems applicable to traditional black-start power supplies and new energy black-start power supplies. The implementation plan processes data through an Execl table, uses the AHP method to obtain subjective weights (subjective method components), uses the CRITIC method to obtain objective weights, and then obtains comprehensive weights. The black-start power supplies are then ranked by quality using an improved TOPSIS method to complete the evaluation. The index system for traditional black-start power supplies and new energy black-start power supplies includes: a self-starting capability evaluation index of the black-start power supply, an evaluation index for the load carrying capacity for non-black units, a rapidity evaluation index, and a stability evaluation index. The self-starting capability evaluation index of the black-start power supply includes the total capacity and ramp speed of the black-start power supply. The load carrying capacity evaluation index for non-black units includes the target power load time and target time load power. The rapidity evaluation index includes the shortest path and start time. The stability evaluation index includes the active power fluctuation rate.

[0035] Figure 14 This is a schematic diagram of the indicator system for traditional black start power supply and new energy black start power supply. The method flow is shown in Figure 16 A black start power supply refers to a special power supply system that can independently start and restore the operation of the power grid when the power system is completely cut off due to a fault (i.e., a "completely black" state). Its core function is to supply power to key equipment without external power support, gradually restart the power grid, and ultimately achieve the recovery of the entire power system.

[0036] The total capacity of the black start power supply is the total capacity of a black start power supply, and the unit is MW; the ramp speed refers to the rate of increase of the active power of the black start power supply, and the unit is MW / min. For traditional black start power supplies and energy storage power supplies, collectively referred to as the first type of black start power supply, the ramp speed is , the calculation formula is as follows:

[0037] For new energy black start, its power time characteristic curve is fluctuating. Black start power supplies or new energy plus energy storage power supplies with this characteristic are collectively referred to as the second type of black start power supply. In order to meet the minimum requirements, according to the target required load power Select a point in the power time characteristic curve ( , 0) and the point where the target load power is first reached ( , ), the ramp rate of the second type of black start power supply is obtained according to the method for calculating the ramp rate of the first type of black start power supply. The calculation formula is as follows:

[0038] Where, is the target load power, is the power supply startup time, The time it takes for the power output to reach the target load power.

[0039] The larger the total capacity of the black start power supply, the more sufficient the energy reserve is, which can meet the starting energy threshold and cope with loss redundancy, ensuring the starting energy supply, which is a positive indicator; the faster the black start power supply ramp speed is, the easier it is to meet the energy demand in the self-starting phase and cope with the demand for power mutation, which is a positive indicator; Figure 7 It can be seen from the figure that the power-time characteristic curve of the first type of black start power supply can be approximately regarded as a straight line. The larger the total capacity, the stronger the self-starting ability of the power supply, which is more conducive to ensuring the black start capability and load capacity of the black start power supply, and is a positive indicator. Figure 8 It can be seen that the ramp rate of the second type of black start power supply cannot be approximated as a straight line with a fixed slope.

[0040] The target power load time refers to the time during which the black start power supply can meet the continuous operation requirements under the power requirements of the started generator set; the target time load power refers to the maximum power during which the black start power supply can meet the continuous operation requirements under the time requirements of the started generator set. For the first type of black start power supply, the target power load time is:

[0041] For the second type of black start power supply, since the power supply cannot be interrupted, the target power load time is the maximum value of each time period that meets the target power:

[0042] Where, Indicates the target power loading time, The maximum value of the target power in each period of time.

[0043] For the first type of black start power supply, the target time load power is Pmax and the target time is Te. For the second type of black start power supply, the target time load power meets the target time Te and the corresponding maximum output is Pmax.

[0044] The longer the black start power supply can maintain outputting the required power for the started unit, the better, and this is a positive indicator. The greater the power that can be output during the period from the black start power supply continuing to operate until the started unit completes startup, the better, and this is a positive indicator. Figure 11 In the example, Pmax is the target time load power of the first type black start power supply, Te is the target time, Figure 12It can be clearly seen that for the second type of black start power supply, when the target time load power meets the target time Te, the corresponding maximum output is Pmax.

[0045] The shortest path represents the time required to transmit power between nodes, measured in minutes. The Dijkstra algorithm calculates the shortest path from the black-start power source through multiple nodes to the target activated unit. For multiple activated target units, the shortest path is the sum of the shortest paths from the black-start unit to each target activated unit. The startup time refers to the time required for the black-start power source to transmit power to the grid.

[0046] The smaller the shortest path, the faster the black start power source completes its power transmission task to each target unit, which is a reverse indicator. The shorter the startup time, the faster the black start unit reacts and can start generating power more quickly, which is a reverse indicator. The Dijkstra algorithm is an algorithm used to solve the single-source shortest path problem. Given a weighted directed graph and a source node, it can calculate the shortest path from the source node to all other nodes in the graph. The Dijkstra algorithm mainly includes initialization, marking, iteration, and termination processes.

[0047] Among them, the active power fluctuation rate reflects the fluctuation of the black start power supply active power, and the calculation method is as follows: Connect the maximum point to the minimum point in sequence to get a broken line graph, and calculate the absolute value of the difference between each two adjacent points, which is recorded as , where n represents the number of differences, and then record , The formula for calculating volatility is as follows:

[0048] Where, is the total capacity.

[0049] The active power fluctuation rate is the ratio of the maximum output fluctuation of the black start power supply to the total capacity. It has no units and is expressed as a percentage. The smaller the active power fluctuation rate, the more stable the external output power of the black start power supply, which is more conducive to ensuring stable recovery. It is an inverse indicator.

[0050] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0051] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A subjective and objective evaluation method for black start power supply of a new energy power system, characterized in that: The specific steps are as follows: Step 1: Calculate weights using the CRITIC method The indicators in the index system of traditional black start power supply and new energy black start power supply are obtained through daily power stations. The variability of each indicator is displayed by calculating the standard deviation. Then, the conflict between the indicators is calculated and the indicator weights are assigned. The specific calculation method is as follows: Construct a data matrix and standardize the indicator data; To account for variability, the standard deviation of each indicator was calculated; Considering the conflict, calculate the Pearson correlation coefficient matrix; Combine variability and conflict to calculate the comprehensive information content; Calculate the weight of each evaluation indicator; Step 2: Improved TOPSIS ranking The method of ranking using the improved TOPSIS method is as follows: Construct a weighted normative matrix; Find the positive ideal solution for each indicator and negative ideal solution ; Calculate the Euclidean space distance of each evaluation index data to the positive ideal solution and the negative ideal solution; When the evaluation object is on the perpendicular bisector between the positive ideal solution and the negative ideal solution, the relative distance L is introduced to quantify the evaluation results; Calculating relative proximity , and then rank; Step 3: CRTIC-improved TOPSIS combination method; Step 4: Case analysis and verification The effectiveness of this method is verified by simulation using an IEEE 30-bus transmission test system.

2. A subjective and objective evaluation method for black start power supply of a new energy power system according to claim 1, characterized in that: When standardizing indicator data as described in step 1: Positive indicators are processed in a positive way, and negative indicators are processed in a negative way; Add the absolute value to the Pearson correlation coefficient, and the formula is as follows: ； Where M is the total number of indicators.

3. The subjective and objective evaluation method for black start power supply of a new energy power system according to claim 1 is characterized in that: The weighted normative matrix construction method described in step 2 is: multiply the standardized data under each type of indicator by the weight of the corresponding indicator, Quantitative evaluation results of the relative distance L described in step 2: ； Where L represents the relative distance, 、 are the Euclidean space distances of the positive ideal solution and the negative ideal solution, respectively.

4. The subjective and objective evaluation method for black start power supply of a new energy power system according to claim 1 is characterized in that: The IEEE 30-node transmission test system described in Step 4 has a total of 6 generator sets and 30 branches, including line and transformer branches. Three of the generator sets are improved. The hydropower unit is connected to node 8, the WT wind power and energy storage station is connected to node 11, and the PV photovoltaic and energy storage station is connected to node 13. The remaining units are non-black start units.

5. A system of subjective and objective evaluation methods for black start power supply of new energy power system, characterized by: The system is a method for evaluating black start power supplies for a new energy power system. The system's components mainly include seven indicator systems applicable to traditional black start power supplies and new energy black start power supplies. The implementation plan processes data through an Execl table, uses the AHP method to obtain subjective weights (subjective method components), uses the CRITIC method to obtain objective weights, and then obtains comprehensive weights. The black start power supplies are then ranked by quality using an improved TOPSIS method to complete the evaluation. The indicator systems for traditional black start power supplies and new energy black start power supplies include: self-starting capability evaluation indicators of black start power supplies, load carrying capability evaluation indicators for non-black units, rapidity evaluation indicators, and stability evaluation indicators. The self-starting capability evaluation indicators of the black start power supplies include the total capacity and ramp speed of the black start power supplies. The load carrying capability evaluation indicators for non-black units include target power load time and target time load power. The rapidity evaluation indicators include the shortest path and start time. The stability evaluation indicators include active power fluctuation rate.

6. The system of the subjective and objective evaluation method for black start power supply of a new energy power system according to claim 5 is characterized by: The total capacity of the black start power supply is the total capacity of a black start power supply, and the unit is MW; the ramp speed refers to the rate of increase of the active power of the black start power supply, and the unit is MW / min. For traditional black start power supplies and energy storage power supplies, collectively referred to as first-class black start power supplies, the ramp speed is , the calculation formula is as follows: ； For new energy black start, its power time characteristic curve is fluctuating. Black start power supplies or new energy plus energy storage power supplies with this characteristic are collectively referred to as the second type of black start power supply. In order to meet the minimum requirements, according to the target required load power Select a point in the power time characteristic curve ( , 0) and the point where the target load power is first reached ( , ), the ramp rate of the second type of black start power supply is obtained according to the method for calculating the ramp rate of the first type of black start power supply. The calculation formula is as follows: ； Where, is the target load power, is the power supply startup time, The time it takes for the power output to reach the target load power.

7. The system of the subjective and objective evaluation method for black start power supply of a new energy power system according to claim 5 is characterized by: The target power load time refers to the time during which the black start power supply can meet the required continuous operation under the power requirement of the started generator set; The target time load power refers to the maximum power that the black start power supply can meet the requirement of continuous operation under the time requirement of the started generator set. For the first type of black start power supply, the target power load time is: ； For the second type of black start power supply, since the power supply cannot be interrupted, the target power load time is the maximum value of each time period that meets the target power: ； Where, Indicates the target power loading time, is the maximum value of the target power in each period of time; For the first type of black start power supply, the target time load power is Pmax and the target time is Te. For the second type of black start power supply, the target time load power meets the target time Te and the corresponding maximum output is Pmax.

8. The system of the subjective and objective evaluation method for black start power supply of a new energy power system according to claim 5 is characterized by: The shortest path represents the time required for power transmission between nodes, measured in minutes. The shortest path from the black start power supply through multiple nodes to the target started unit is calculated using the Dijkstra algorithm. For multiple started target started units, the shortest path is the sum of the shortest paths from the black start unit to each target started unit. The startup time refers to the time required for the black start power supply to transmit power to the grid from startup.

9. The system of the subjective and objective evaluation method for black start power supply of a new energy power system according to claim 5 is characterized by: The active power fluctuation rate reflects the fluctuation of the black start power supply active power, and is calculated as follows: Connect the maximum point to the minimum point in sequence to get a broken line graph, and calculate the absolute value of the difference between each two adjacent points, recorded as, , where n represents the number of differences, and then record , the volatility is calculated as follows: Where, is the total capacity.

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