Optimal operation method, system, equipment and medium for distribution network flexibility resources

Abstract

The present invention provides a method, system, device, and medium for optimizing the operation of distribution network flexibility resources, including: calculating a grid operation risk index based on the operation data and load data of the distribution network using an operation risk algorithm; calculating a comprehensive performance index of the energy storage system based on the operation data and the state data of the energy storage system of the distribution network using an energy storage system performance algorithm; calculating a grid performance degradation index based on the operation data, load data, and grid topology data of the distribution network using a performance degradation algorithm; performing a weighted summation of the grid operation risk index, the comprehensive performance index of the energy storage system, and the grid performance degradation index to obtain a comprehensive distribution network operation index; and determining the operation status of the distribution network and executing a corresponding optimization strategy based on the comprehensive distribution network operation index. This method can fully consider the dynamic changes and uncertainties of the distribution network system, achieve comprehensive optimization of multiple flexibility resources in the distribution network, and thus provide technical support.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network optimization, and in particular to a method, system, equipment and medium for optimizing the operation of distribution network flexibility resources. Background Art

[0002] With the rapid development of social economy and the profound adjustment of energy consumption structure, electricity demand has shown an explosive growth and highly diversified trend. With the large-scale access of renewable energy and the popularization of distributed energy, the operation of distribution network faces greater uncertainty and complexity. How to effectively manage and optimize the flexibility resources in the distribution network, judge the operating status of the distribution network, and provide a basis for improving the reliability and economy of the system has become an important research topic.

[0003] Existing optimization methods are often limited to single data, lack comprehensive optimization of multiple flexibility resources, and fail to fully consider the dynamic changes and uncertainties of the system. It is difficult to accurately judge the operating status of the distribution network and cannot provide support for the operation and adjustment of the distribution network. Summary of the Invention

[0004] In order to overcome the defect in the above-mentioned traditional optimization method that it is difficult to accurately judge the operating status of the distribution network using a single data, the present invention provides an optimization operation method for the flexibility resources of the distribution network, comprising:

[0005] Based on the operation data and load data of the distribution network, the operation risk algorithm is used to calculate the power grid operation risk index;

[0006] Calculating comprehensive performance indicators of the energy storage system using an energy storage system performance algorithm based on the operating data and energy storage system status data of the distribution network;

[0007] Calculating a power grid performance degradation index using a performance degradation algorithm based on the operation data, the load data, and power grid topology data of the distribution network;

[0008] Performing a weighted summation on the grid operation risk index, the energy storage system comprehensive performance index, and the grid performance degradation index to obtain a distribution network comprehensive operation index;

[0009] Based on the comprehensive operating indicators of the distribution network, the operating status of the distribution network is determined and a corresponding optimization strategy is executed.

[0010] Optionally, the calculating of the power grid operation risk index using an operation risk algorithm based on the operation data and load data of the distribution network includes:

[0011] Based on the actual power factor and the rated power factor in the operation data of the distribution network, the power factor deviation value is calculated using the power factor deviation algorithm;

[0012] Based on the load value and the average load value in the load data of the distribution network, the load fluctuation rate is calculated using the load fluctuation algorithm;

[0013] Based on the power factor deviation value and the load fluctuation rate, a power grid operation risk index is calculated.

[0014] Optionally, the power factor deviation value satisfies the following formula:

[0015] ,in is the power deviation value, is the actual power factor, is the rated power factor;

[0016] The load fluctuation rate satisfies the following formula:

[0017] ,in is the load fluctuation rate, The first The load value at a moment, j is the sequence number corresponding to the moment in the detection cycle, and its value is , m is the number of all moments in the detection cycle, is the load average value at all times during the detection period;

[0018] The grid operation risk index satisfies the following formula:

[0019] ,in is the grid operation risk indicator, is the correction factor.

[0020] Optionally, the calculating of the comprehensive performance index of the energy storage system using an energy storage system performance algorithm based on the operating data and the energy storage system status data of the distribution network includes:

[0021] Calculating the charge and discharge power margin of the energy storage system using a power margin algorithm based on the operating data and the energy storage coefficient status data of the distribution network;

[0022] Calculating the energy storage system utilization rate using an energy storage utilization rate algorithm based on the energy storage system status data;

[0023] Based on the charge and discharge power margin, the energy storage system utilization rate and the energy storage system status data, a comprehensive performance index of the energy storage system is calculated.

[0024] Optionally, the charge and discharge power margin satisfies the following formula:

[0025] ,in is the charge and discharge power margin, is the rated charge and discharge power in the energy storage system status data, is the charge and discharge power at the jth moment in the detection cycle in the operating data, is the average charge and discharge power in the operating data, is the charge and discharge power at the mth moment in the detection cycle in the energy storage system status data;

[0026] The energy storage system utilization rate satisfies the following formula:

[0027] ,in is the energy storage system utilization rate, The energy storage system status data is the first The energy storage system releases energy at each moment. is the rated energy stored in the energy storage system in the energy storage system status data, is the maximum energy capacity of the energy storage system in the energy storage system status data, Energy lost to the energy storage system Energy loss coefficient;

[0028] The comprehensive performance index of the energy storage system satisfies the following formula:

[0029] ,in, is the comprehensive performance index of the energy storage system. is the charge and discharge power margin, is the rated charge and discharge power, is the utilization rate of the energy storage system.

[0030] Optionally, the calculating the power grid performance degradation index using a performance degradation algorithm based on the operation data, the load data, and the power grid topology data of the distribution network includes:

[0031] Calculating a grid voltage stability index using a voltage stability algorithm based on the operating data and grid topology data of the distribution network;

[0032] Calculating a power flow imbalance index of a power grid using a power flow imbalance algorithm based on the load data and the power grid topology data;

[0033] Calculating a power grid performance degradation index based on the power grid voltage stability index and the power grid power flow imbalance index;

[0034] The grid voltage stability index satisfies the following formula:

[0035] ,in is the grid voltage stability index, It is the serial number corresponding to different nodes, and its value is , is the number of nodes in the power grid topology data, For the running data The real-time voltage of each node, For the running data Rated voltage of each node;

[0036] The power grid flow imbalance index satisfies the following formula:

[0037] ,in is the power flow imbalance index, is the load impedance of the wth node in the load data, is the admittance matrix of the wth node in the power grid topology data, The load data The node Active power of various load types, It is the serial number corresponding to different load types, and its value is , is the number of load types, For the The influencing factors of active power of different load types;

[0038] The grid performance degradation index satisfies the following formula:

[0039] ,in is the grid performance degradation index, is the maximum grid voltage stability index, is the minimum grid voltage stability index; is the maximum grid power flow imbalance index, is the minimum grid power flow imbalance index.

[0040] Optionally, determining the operating state of the distribution network and executing a corresponding optimization strategy based on the comprehensive operating index of the distribution network includes:

[0041] comparing the distribution network comprehensive operation index with a comprehensive operation threshold;

[0042] If the comprehensive operation index of the distribution network is greater than or equal to the comprehensive operation threshold, the operation status of the distribution network is determined to be qualified, and the operation data, load data and energy storage system data of the distribution network are continued to be monitored;

[0043] If the comprehensive operation index of the distribution network is less than the comprehensive operation threshold, it is determined that there is a problem with the operation of the distribution network. The intelligent switch is used to isolate different areas of the distribution network, and the fault area is checked in the different areas. The fault problems in the fault area are adjusted and optimized until the distribution network is in a qualified operating state.

[0044] In another aspect, the present invention further provides a system for optimizing the operation of distribution network flexibility resources, comprising:

[0045] An operation risk index determination module is used to calculate the power grid operation risk index using an operation risk algorithm based on the operation data and load data of the distribution network;

[0046] An energy storage performance index determination module is used to calculate the comprehensive performance index of the energy storage system using an energy storage system performance algorithm based on the operating data and the energy storage system status data of the distribution network;

[0047] a performance degradation index determination module, configured to calculate a power grid performance degradation index using a performance degradation algorithm based on the operation data, the load data, and power grid topology data of the distribution network;

[0048] a comprehensive operation index determination module, configured to perform a weighted summation of the grid operation risk index, the energy storage system comprehensive performance index, and the grid performance degradation index to obtain a distribution network comprehensive operation index;

[0049] The optimization operation module is used to determine the operation status of the distribution network and execute corresponding optimization strategies based on the comprehensive operation indicators of the distribution network.

[0050] Optionally, the operational risk indicator determination module includes:

[0051] A power factor deviation calculation unit, configured to calculate a power factor deviation value using a power factor deviation algorithm based on an actual power factor and a rated power factor in operation data of the distribution network;

[0052] a load fluctuation calculation unit, configured to calculate a load fluctuation rate using a load fluctuation algorithm based on a load value and a load average value in the load data of the distribution network;

[0053] An operation risk calculation unit is used to calculate a power grid operation risk index based on the power factor deviation value and the load fluctuation rate.

[0054] Optionally, the power factor deviation value satisfies the following formula:

[0055] ,in is the power deviation value, is the actual power factor, is the rated power factor;

[0056] The load fluctuation rate satisfies the following formula:

[0057] ,in is the load fluctuation rate, The first The load value at a moment, j is the sequence number corresponding to the moment in the detection cycle, and its value is , m is the number of all moments in the detection cycle, is the load average value at all times during the detection period;

[0058] The grid operation risk index satisfies the following formula:

[0059] ,in is the grid operation risk indicator, is the correction factor.

[0060] Optionally, the energy storage performance indicator determination module includes:

[0061] a charge and discharge power calculation unit, configured to calculate the charge and discharge power margin of the energy storage system using a power margin algorithm based on the operating data and the energy storage coefficient status data of the distribution network;

[0062] an energy storage system utilization rate calculation unit, configured to calculate the energy storage system utilization rate based on the energy storage system status data using an energy storage utilization rate algorithm;

[0063] The energy storage system comprehensive performance calculation unit is used to calculate the comprehensive performance index of the energy storage system based on the charging and discharging power margin, the energy storage system utilization rate and the energy storage system status data.

[0064] Optionally, the charge and discharge power margin satisfies the following formula:

[0065] ,in is the charge and discharge power margin, is the rated charge and discharge power in the energy storage system status data, is the charge and discharge power at the jth moment in the detection cycle in the operating data, is the average charge and discharge power in the operating data, is the charge and discharge power at the mth moment in the detection cycle in the energy storage system status data;

[0066] The energy storage system utilization rate satisfies the following formula:

[0067] ,in is the energy storage system utilization rate, The energy storage system status data is the first The energy storage system releases energy at each moment. is the rated energy stored in the energy storage system in the energy storage system status data, is the maximum energy capacity of the energy storage system in the energy storage system status data, Energy lost to the energy storage system Energy loss coefficient;

[0068] The comprehensive performance index of the energy storage system satisfies the following formula:

[0069] ,in, is the comprehensive performance index of the energy storage system. is the charge and discharge power margin, is the rated charge and discharge power, is the utilization rate of the energy storage system.

[0070] Optionally, the performance degradation index determination module includes:

[0071] a voltage stability calculation unit, configured to calculate a power grid voltage stability index using a voltage stability algorithm based on the operation data and power grid topology data of the distribution network;

[0072] a power flow imbalance calculation unit, configured to calculate a power grid power flow imbalance index using a power flow imbalance algorithm based on the load data and the power grid topology data;

[0073] a power grid performance degradation calculation unit, configured to calculate a power grid performance degradation index based on the power grid voltage stability index and the power grid power flow imbalance index;

[0074] Optionally, the grid voltage stability index satisfies the following formula:

[0075] ,in is the grid voltage stability index, It is the serial number corresponding to different nodes, and its value is , is the number of nodes in the power grid topology data, For the running data The real-time voltage of each node, For the running data Rated voltage of each node;

[0076] The power grid flow imbalance index satisfies the following formula:

[0077] ,in is the power flow imbalance index, is the load impedance of the wth node in the load data, is the admittance matrix of the wth node in the power grid topology data, The load data The node Active power of various load types, It is the serial number corresponding to different load types, and its value is , is the number of load types, For the The influencing factors of active power of different load types;

[0078] The grid performance degradation index satisfies the following formula:

[0079] ,in is the grid performance degradation index, is the maximum grid voltage stability index, is the minimum grid voltage stability index; is the maximum grid power flow imbalance index, is the minimum grid power flow imbalance index.

[0080] Optionally, the optimization operation module includes:

[0081] a comparing unit, configured to compare the comprehensive operation index of the distribution network with a comprehensive operation threshold;

[0082] a first optimization unit, configured to determine that the distribution network operation status is qualified if the comprehensive operation index of the distribution network is greater than or equal to the comprehensive operation threshold, and continue to monitor the operation data, load data and energy storage system data of the distribution network;

[0083] The second optimization unit is configured to determine that there is a problem with the operation of the distribution network if the comprehensive operation index of the distribution network is less than the comprehensive operation threshold, use intelligent switches to isolate different areas of the distribution network, identify faulty areas in the different areas, and adjust and optimize the fault problems in the faulty areas until the distribution network is in a qualified operating state.

[0084] On the other hand, the present invention also provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0085] The memory is used to store one or more programs;

[0086] When the one or more programs are executed by the at least one processor, the above-mentioned method for optimizing operation of distribution network flexibility resources is implemented.

[0087] On the other hand, the present invention also provides a readable storage medium having an execution program stored thereon, which, when executed, implements the above-mentioned method for optimizing the operation of distribution network flexibility resources.

[0088] Compared with the prior art, the present invention has the following beneficial effects:

[0089] The present invention provides a method for optimizing the operation of distribution network flexibility resources, comprising: calculating a grid operation risk index based on operation data and load data of the distribution network using an operation risk algorithm; calculating a comprehensive performance index of the energy storage system based on the operation data and energy storage system status data of the distribution network using an energy storage system performance algorithm; calculating a grid performance degradation index based on the operation data, load data, and grid topology data of the distribution network using a performance degradation algorithm; performing a weighted summation of the grid operation risk index, the comprehensive performance index of the energy storage system, and the grid performance degradation index to obtain a comprehensive distribution network operation index; and determining the operation status of the distribution network based on the comprehensive distribution network operation index and executing a corresponding optimization strategy. In this method, by combining operation data, load data, energy storage system status data, and grid topology data in the grid with an intelligent algorithm, the actual situation of the distribution network can be comprehensively understood from multiple perspectives, fully considering the dynamic changes and uncertainties of the distribution network system, avoiding the one-sidedness caused by relying solely on a single data type for evaluation, executing a corresponding optimization strategy based on the accurate operation status of the distribution network, and achieving comprehensive optimization of multiple flexibility resources in the distribution network, thereby providing technical support for the operation and adjustment of the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] Figure 1 Schematic diagram of the flow chart of the method for optimizing the operation of distribution network flexibility resources of the present invention;

[0091] Figure 2 Schematic diagram of the working steps of the method for optimizing the operation of distribution network flexibility resources of the present invention;

[0092] Figure 3 This is a schematic diagram of the optimized operation system structure of the distribution network flexibility resources of the present invention;

[0093] Figure 4 Schematic diagram of the structure of the electronic device of the present invention. DETAILED DESCRIPTION

[0094] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0095] Example 1:

[0096] The present invention provides a method for optimizing the operation of distribution network flexibility resources, the flow diagram of which is as follows: Figure 1 As shown, including:

[0097] Step 101: Calculate the power grid operation risk index using an operation risk algorithm based on the operation data and load data of the distribution network;

[0098] Step 102: Calculate comprehensive performance indicators of the energy storage system using an energy storage system performance algorithm based on the operating data and energy storage system status data of the distribution network;

[0099] Step 103: Calculating a power grid performance degradation index using a performance degradation algorithm based on the operation data, load data, and power grid topology data of the distribution network;

[0100] Step 104: performing a weighted summation of the grid operation risk index, the energy storage system comprehensive performance index, and the grid performance degradation index to obtain a distribution network comprehensive operation index;

[0101] Step 105: Based on the comprehensive operation index of the distribution network, determine the operation status of the distribution network and execute corresponding optimization strategies.

[0102] The embodiments of the present invention use the operating data, load data, energy storage system status data and grid topology data in the power grid, combined with intelligent algorithms, to comprehensively understand the actual situation of the distribution network from multiple perspectives, fully consider the dynamic changes and uncertainties of the distribution network system, avoid the one-sidedness brought about by relying solely on a single data type for evaluation, and execute corresponding optimization strategies based on the accurate operating status of the distribution network. This can achieve comprehensive optimization of various flexibility resources in the distribution network, thereby providing technical support for the operation and adjustment of the distribution network.

[0103] In this embodiment of the present invention, operational data, load data, energy storage system status data, and grid topology data from the distribution network can be collected. This data allows for a comprehensive understanding of the actual distribution network from multiple perspectives, avoiding the one-sidedness inherent in relying solely on a single data type for evaluation. This allows for a more accurate understanding of the distribution network's operational status and provides a solid foundation for subsequent analysis and decision-making. To ensure that the dynamic changes and uncertainties of the distribution network are taken into account, the collected data is real-time data, such as real-time operational data.

[0104] In some possible scenarios, the optimized operation method of the distribution network flexibility resources provided by the present invention can be integrated into electronic equipment in the form of an intelligent evaluation system.

[0105] In one possible implementation, the operation risk algorithm may include but is not limited to a power factor deviation algorithm and a load fluctuation algorithm. For example, in the above step 101, the load fluctuation rate may be calculated based on the load data using the load fluctuation algorithm. , calculate the power factor deviation value using the power factor deviation algorithm based on the operating data , according to the load fluctuation rate and power factor deviation Calculate grid operation risk indicators .

[0106] In this implementation, the load data includes the load value and load average Load value It represents the load value at the jth moment in the detection period. The load value at each moment can be measured and recorded in real time by installing a power meter at the node of the branch line of the distribution network. For example, in the power distribution system of a factory, the power meter can record the power load value at that moment every 15 minutes. These recorded values ​​are ; Load average value It represents the average value of the load values ​​at all times within the detection period, for example, it can be obtained by obtaining the load values ​​at all times and then calculating the arithmetic mean of these load values.

[0107] The above calculation method is based on the load data and uses the power factor deviation algorithm to calculate the load fluctuation rate. When the load value in the load data of the distribution network is and load average , calculate the load fluctuation rate using the load fluctuation algorithm Load fluctuation rate The following formula can be satisfied:

[0108] ,in is the load fluctuation rate, The first The load value at a moment, j is the sequence number corresponding to the moment in the detection cycle, and its value is , m is the number of all moments in the detection period, and its value is a positive integer. is the average load value at all times during the detection period. It can be understood that this formula is the load fluctuation algorithm. In this formula, by calculating The square of the deviation of the load value at each moment relative to the average load value can be obtained, and then the sum of the squares of the deviations at all moments can be calculated. By summing, we can get the total square sum of the load value relative to the average load value during the entire detection period, divided by To perform normalization, thereby eliminating the total square deviation that will increase with the number of moments in the detection cycle In order to make the result more meaningful, we divide it by , we can get the final load fluctuation rate .

[0109] In this implementation, the operating data includes the actual power factor of the distribution network and the rated power factor of the distribution network . Actual power factor Indicates the power factor of the distribution network in actual operation, which is obtained by measuring the power factor of the distribution network in actual operation with a power factor meter; rated power factor Indicates the standard value of power factor specified for the distribution network, which can be obtained from the equipment nameplate of the distribution network.

[0110] The above calculation of power factor deviation value based on operating data using power factor deviation algorithm When the actual power factor is calculated based on the operating data of the distribution network, and rated power factor , use the power factor deviation algorithm to calculate the power factor deviation value . Power factor deviation value The following formula can be satisfied:

[0111] ,in is the power deviation value, is the actual power factor, is the rated power factor. It can be understood that this formula is the load fluctuation algorithm. In this formula, It indicates the ratio of the absolute value of the difference between the actual power factor and the rated power factor to the rated power factor. The sine function is introduced. When the power factor deviation is small, the value of this item is small; when the deviation is large, the value of this item will gradually increase. It is the cube of the calculation deviation, so that when the power factor deviation is large, the PFD value can more significantly reflect this large deviation. By adding these three items and taking the square root, the power factor deviation value is obtained. .

[0112] The grid operation risk index can satisfy the following formula:

[0113] ,in is the grid operation risk indicator, is the correction coefficient, which can be between 0.5 and 0.8. In this formula, This shows that the grid operation risk is related to both the load fluctuation rate and the power factor deviation value. The greater the load fluctuation rate and the power factor deviation value, the greater the risk value calculated initially. Indicates the comprehensive "distance" of load fluctuation rate and power factor deviation value, This is to normalize the comprehensive "distance" to avoid the value being too large, and finally, multiply it by the correction coefficient The purpose is to make appropriate adjustments to the calculated risk indicators based on actual grid operation experience to make them more consistent with the actual situation. A small distribution network model can be built in a power grid laboratory, and the model can be adjusted. Different loads and powers can be set during the operation of the power grid, and the data changes after adjustment can be recorded. The adjusted data can be used to train the built distribution network model. The correction coefficient can be obtained through the trained model. .

[0114] In one possible implementation, the energy storage system performance algorithm may include but is not limited to a power margin algorithm and an energy storage utilization rate algorithm. For example, in the above step 102, the power margin algorithm may be used to calculate the charge and discharge power margin of the energy storage system based on the operating data and the energy storage coefficient status data of the distribution network. ; Based on the energy storage system status data, the energy storage system utilization rate is calculated using the energy storage utilization rate algorithm ; Based on charge and discharge power margin , energy storage system utilization rate and energy storage system status data to calculate the comprehensive performance indicators of the energy storage system .

[0115] In this implementation, the operating data also includes the charging and discharging power of the distribution network and average charge and discharge power ; Energy storage system status data includes the current charging and discharging power of the energy storage system and rated charge and discharge power ;Charge and discharge power of distribution network Indicates in The charging and discharging power of the distribution network at each moment is measured and recorded in real time by the power meter; the average charging and discharging power It represents the average value of the charge and discharge power at all times during the detection period. , and then calculate the arithmetic mean of these charge and discharge power values ​​to obtain the current charge and discharge power Indicates the number of The charge and discharge power at each moment is measured in real time by a power meter and recorded in real time by the charge and discharge power data at the last moment in the detection cycle; the rated charge and discharge power Indicates the standard value of charge and discharge power set by the distribution network at the factory, which is determined by the equipment nameplate of the distribution network.

[0116] The above-mentioned power margin algorithm is used to calculate the charging and discharging power margin of the energy storage system based on the operating data and the energy storage coefficient status data of the distribution network. When the charging and discharging power of the distribution network is , average charge and discharge power , the current charging and discharging power of the energy storage system and rated charge and discharge power , use the power margin algorithm to calculate the charging and discharging power margin of the energy storage system The charge and discharge power margin can satisfy the following formula:

[0117] ,in is the charge and discharge power margin, is the rated charge and discharge power in the energy storage system status data, is the charge and discharge power at the jth moment in the detection cycle in the operating data, is the average charge and discharge power in the operating data, is the charge and discharge power at the mth moment in the detection cycle in the energy storage system status data. It can be understood that this formula is the power margin algorithm. In this formula, the charge and discharge power margin is measured by comparing the difference between the rated charge and discharge power of the distribution network and the actual charge and discharge power related parameters. The calculation part is the variance of the charge and discharge power of the distribution network during the detection period. When the variance is large, it means that the charge and discharge power fluctuates violently, which has a great impact on the stability of the power grid and energy storage system. Subtract the difference below the square root and the absolute value of the current charge and discharge power to get the charge and discharge power margin ,if A larger value indicates that the energy storage system has sufficient backup power and the grid is running more stably. A small value indicates that the energy storage system may face the risk of insufficient power and the grid operation may be unstable.

[0118] In this implementation, the energy storage system status data also includes the rated energy stored in the energy storage system. , release energy , the maximum energy capacity of the energy storage system and energy loss of the energy storage system . Rated energy stored in the energy storage system Indicates the energy storage standard value specified when the energy storage system is designed, which is obtained from the equipment nameplate of the energy storage system; release energy Indicates the number of The energy released by the energy storage system at each moment is measured and recorded in real time by the electric energy meter; the maximum energy capacity of the energy storage system Indicates the maximum amount of energy that the energy storage system can store, which is determined by the design technical specifications of the energy storage system; the energy loss of the energy storage system Indicates the energy lost during the operation of the energy storage system. The energy input and output of the energy storage system during operation are monitored by the energy meter, and then the energy loss of the energy storage system is obtained by subtracting the two. .

[0119] The above is based on the energy storage system status data and uses the energy storage utilization rate algorithm to calculate the energy storage system utilization rate. When the rated energy stored in the energy storage system is , release energy , the maximum energy capacity of the energy storage system and energy loss of the energy storage system , using the energy storage utilization rate algorithm to calculate the energy storage system utilization rate The energy storage system utilization rate can satisfy the following formula:

[0120] ,in is the energy storage system utilization rate, The energy storage system status data is the first The energy storage system releases energy at each moment. is the rated energy stored in the energy storage system in the energy storage system status data, is the maximum energy capacity of the energy storage system in the energy storage system status data, Energy lost to the energy storage system Energy loss coefficient. It can be understood that this formula is the energy storage utilization rate algorithm. In this formula, the numerator is the sum of the absolute value of the energy released by the energy storage system plus the rated energy, and the denominator is the maximum energy capacity plus the product of the energy loss coefficient and the lost energy. Through this proportional relationship, the energy storage system utilization rate can be obtained. It can be determined based on the degree of energy loss of the energy storage system, for example: record the full charge energy of the energy storage system each time, such as the full charge energy , full charge energy , full charge energy 、......、Full charge energy , obtain the sum of the energy loss differences of adjacent full-charge energies, and then calculate the average value of the energy loss ,like , and finally the energy loss coefficient is obtained .in Indicates the full charge energy of the energy storage system recorded for the zth time, where z is the total number of records.

[0121] The comprehensive performance index of the energy storage system can satisfy the following formula:

[0122] ,in, is the comprehensive performance index of the energy storage system. is the charge and discharge power margin, is the rated charge and discharge power, is the utilization rate of the energy storage system. In this formula, The ratio is the relative relationship between the current power margin and actual power of the energy storage system. Larger and When the ratio is smaller, the ratio is larger, indicating that the energy storage system has a larger margin in terms of power and can better cope with changes in power demand. Indicates the degree to which the energy storage system is not utilized. When the utilization rate of smaller energy storage system is low, If it is larger, it means that the energy storage system still has a lot of energy reserves that have not been used, and it may have great potential in terms of energy reserves. The relative relationship between the power margin and the actual power and the degree of unused energy are multiplied to obtain the comprehensive performance index of the energy storage system. ,when The larger the value, the better the performance of the energy storage system in terms of power margin and energy reserve, and the better the overall performance. A small value indicates that the energy storage system has deficiencies in power margin or energy reserve, and its overall performance is poor.

[0123] In one possible implementation, the performance degradation algorithm includes but is not limited to a voltage stability algorithm and a power flow imbalance algorithm. For example, in step 103, the voltage stability algorithm can be used to calculate the grid voltage stability index based on the operation data and the grid topology data of the distribution network. ; Based on load data and grid topology data, the grid flow imbalance index is calculated using the flow imbalance algorithm ; Based on the grid voltage stability index and grid flow imbalance index , calculate the grid performance degradation index .

[0124] In this implementation, the operating data also includes the real-time voltage of different grid nodes and rated voltage ; Grid topology data includes the number of nodes in the grid . Real-time voltage of different grid nodes Refers to The real-time voltage of each node is obtained by measuring and recording the voltage data of each node in real time through the voltage transformer; the rated voltage Indicates the The rated voltage of a node is the standard voltage value of the node specified by the power grid; the number of nodes in the power grid It represents the number of all nodes in the power grid, which is a positive integer. The total number of nodes in the power grid is determined based on the existing power grid line connection diagram.

[0125] The above-mentioned grid voltage stability index is calculated using the voltage stability algorithm based on the operation data and the grid topology data of the distribution network. When the real-time voltage of different grid nodes is and rated voltage , number of nodes , using the voltage stability algorithm to calculate the grid voltage stability index The grid voltage stability index can satisfy the following formula:

[0126] ,in is the grid voltage stability index, It is the serial number corresponding to different nodes, and its value is , is the number of nodes in the power grid topology data, The value of is a positive integer. For the running data The real-time voltage of each node, For the running data The rated voltage of each node. It can be understood that this formula is the voltage stability algorithm. In this formula, the numerator The sum of the difference between the real-time voltage and the rated voltage of all nodes is calculated. For each node , Indicates the voltage deviation of the node. If the difference is 0, it means that the real-time voltage of the node is equal to the rated voltage and the voltage is stable. If the difference is not 0, it means that there is a voltage deviation. The rated voltage of all nodes is summed up as the denominator to normalize the total voltage deviation. The grid voltage stability index is obtained by calculating the ratio of the total voltage deviation to the total rated voltage. , The smaller the value, the closer the real-time voltage of the power grid is to the rated voltage, and the better the voltage stability; The larger the value is, the greater the voltage deviation of the power grid is and the worse the voltage stability is.

[0127] In this implementation, the load data also includes the load impedance and active power The grid topology data also includes the admittance matrix . Load impedance Refers to The resistance of each node to the current is measured by applying a known frequency AC signal to the circuit under test, and then measuring the voltage and current at both ends of the circuit through a voltage sensor and a current sensor. According to the negative form of Ohm's law, the load impedance is obtained by dividing the voltage by the current; active power Indicates the The node Active power of various load types, such as motor load, electric furnace load and electrolysis load, is obtained by real-time monitoring and recording of active power data of nodes by smart meters installed on grid nodes; admittance matrix It is a matrix that describes the electrical connection characteristics between nodes in the power grid. It is constructed according to the topological structure of the power grid and the admittance parameters of the line. For example, a matrix with The admittance matrix of the power grid with nodes is a The matrix of .

[0128] The above-mentioned power flow imbalance index is calculated based on load data and power grid topology data using the power flow imbalance algorithm. When the load impedance , active power , admittance matrix and the number of nodes in the grid , using the power flow imbalance algorithm to calculate the power grid power flow imbalance index The power grid imbalance index can satisfy the following formula:

[0129] ,in is the power flow imbalance index, is the load impedance of the wth node in the load data, is the admittance matrix of the wth node in the power grid topology data, The load data The node Active power of various load types, It is the serial number corresponding to different load types, and its value is , is the number of load types, which is a positive integer. For the The influence factor of active power of various load types. It can be understood that the power flow imbalance algorithm is the formula. In this formula It is the sum of the products of the load impedance and the admittance matrix of all nodes. It represents a normalized form of the load active power under the influence of load impedance. By combining the electrical characteristics of the node with the load characteristics, the grid flow imbalance index is obtained. , The larger the value of , the higher the degree of imbalance in the power flow; The smaller the value, the more uniform the power flow distribution is.

[0130] The above is based on the grid voltage stability index and grid flow imbalance index , calculate the grid performance degradation index When the grid voltage stability index , grid flow imbalance index , Maximum grid voltage stability index , minimum grid voltage stability index , Maximum grid flow imbalance index and minimum grid power flow imbalance index , calculate the grid performance degradation index The grid performance degradation index can satisfy the following formula:

[0131] ,in is the grid performance degradation index, is the maximum grid voltage stability index, is the minimum grid voltage stability index; is the maximum grid power flow imbalance index, is the minimum power grid imbalance index. In this formula, It is the normalization processing of the grid voltage stability index. Indicates the current Value and minimum The deviation of the value, express The maximum range of value variation; It is the normalization processing of the power grid imbalance index. is currently Value and minimum The deviation of the value, yes The maximum change range of the value, divide the deviation by the change range and square it to get a value that reflects the current The relative position of the value relative to its minimum and maximum values ​​is determined by and The normalized square deviation sum of the inverse and square root is taken to obtain the power grid performance degradation index , The larger the value of , the smaller the degree of grid performance degradation; The smaller the value, the greater the degree of grid performance degradation.

[0132] Where, the maximum grid voltage stability index is By calculating the grid voltage stability index at different times in the past year and comparing them, the maximum grid voltage stability index and the minimum grid voltage stability index are obtained. By calculating the grid voltage stability index at different times in the past year and comparing them, we can obtain the minimum grid voltage stability index and the maximum grid power flow imbalance index. , record the power flow imbalance index at different times in the past year through smart meters, and obtain the maximum power flow imbalance index and the minimum power flow imbalance index by comparison. ,The grid flow imbalance index at different times in the past year is recorded by smart meters, and the minimum grid flow imbalance index is obtained through ,comparison.

[0133] In one possible implementation, the comprehensive operation index of the distribution network in step 104 may satisfy the following formula:

[0134] ,in, Grid operation risk indicators The weight coefficient is based on the grid operation risk index Comprehensive operation indicators of distribution network The influence degree is determined by , and the value can be 0.1~0.25; Comprehensive performance index of energy storage system The weight coefficient is based on the comprehensive performance index of the energy storage system Comprehensive operation indicators of distribution network The influence degree is determined by , and the value can be 0.35~0.4; Grid performance degradation index The weight coefficient is calculated based on the grid performance degradation index Comprehensive operation indicators of distribution network The influence degree of is determined, and the value can be 0.4~0.5; and In this weighted summation formula, the grid operation risk index , comprehensive performance indicators of energy storage system and grid performance degradation indicators Multiply them by their corresponding weight coefficients and then add them together to get the comprehensive operation index of the distribution network ,when The value is larger, The value increases accordingly, reflecting the poor overall operation status of the power grid; The value is larger, The value increases accordingly, reflecting that the overall operation status of the distribution network is good; when The value is larger, The increase in the value reflects the poor overall operation status of the distribution network.

[0135] In steps 101 through 104, real-time operating data, load data, energy storage system status data, and grid topology data are used to calculate grid operation risk indicators, comprehensive energy storage system performance indicators, and grid performance degradation indicators. Furthermore, comprehensive distribution network operation indicators are calculated, enabling a comprehensive quantitative assessment of the overall operating status of the distribution network. This overcomes the limitations of previously evaluating each component separately, making it difficult to grasp the overall operating level. It also addresses deficiencies in processing complex data, such as the inaccurate identification and processing of abnormal data, and provides a more comprehensive and systematic understanding of the health of the distribution network.

[0136] In the above step 105, a comprehensive operation threshold of the distribution network can be preset. , the comprehensive operation index of distribution network Comprehensive operation threshold of distribution network Compare and judge the operation status of the distribution network, and execute the corresponding optimization strategy according to the judgment result. For example, the comprehensive operation threshold of the distribution network It collects historical operation data of the distribution network and calculates the comprehensive operation indicators of multiple time points based on the normal and stable operation of the distribution network system. , calculate multiple comprehensive operating indicators The average value is the comprehensive operation threshold of the distribution network .

[0137] In one implementation, in step 105, the comprehensive operating index of the distribution network can be and comprehensive operating threshold Compare; if the comprehensive operation index of distribution network Greater than or equal to the comprehensive operating threshold , then the distribution network is determined to be in a qualified operating state and the optimization strategy 1 is executed; if the comprehensive operating index of the distribution network is Less than the comprehensive operation threshold , it is determined that there is a problem with the operation of the distribution network, and the optimization strategy 2 is executed.

[0138] According to the comprehensive operation indicators of the distribution network Comprehensive operation threshold of distribution network The standards for judging the operating status of the distribution network are as follows:

[0139]

[0140] When the distribution network operating status is good, indicating that the distribution network operating status is qualified, the optimization strategy 1 is executed; when the distribution network operating status indicates that there are problems, the optimization strategy 2 is executed.

[0141] In Optimization Strategy 1, the distribution network's operational data, load data, and energy storage system data can continue to be monitored. By maintaining a regular monitoring frequency for load fluctuations, power factor deviation, energy storage system charge and discharge power margin, and grid voltage stability index, the grid's stability can be ensured. Preventive equipment maintenance measures can be implemented, with regular inspections and maintenance of key equipment. However, emergency repairs or replacements are not required.

[0142] In optimization strategy two, intelligent switches can be used to isolate different areas of the distribution network, identify faulty areas within each area, and adjust and optimize existing faulty areas until the distribution network returns to a satisfactory operating state. Specifically, intelligent switches such as circuit breakers, reclosers, and section switches can be used to automatically isolate different areas. By calculating grid operation risk indicators, energy storage system comprehensive performance indicators, grid power flow imbalance index, and grid performance degradation indicators for each area, the faulty area can be automatically identified. Once the faulty area and fault problem are identified, the corresponding optimization strategy is implemented. For example, if the grid power flow imbalance index of a certain line is found to be too high, the line's load distribution needs to be adjusted, such as by switching tie switches to transfer some of the load to other lines to prevent line overload. For damaged or severely degraded equipment, timely repair or replacement arrangements can be made. Adjustments to the grid's operating strategy can also be made. For example, when grid voltage stability is poor, the tap position of the on-load tap-changing transformer can be adjusted, or the switching strategy of the reactive power compensation device can be adjusted to improve grid voltage stability. After executing the optimization strategy, the automatic reclosing device attempts to reclose. If the fault has been eliminated, the power supply is restored and the above judgment process is repeated. If there is still a problem with the operating status, the above operation is repeated until the operating status is restored to a good state.

[0143] The above step 105 determines the operating status of the distribution network by presetting the comprehensive operating threshold of the distribution network and comparing the comprehensive operating indicators with it, so that the operation and maintenance personnel can quickly and accurately determine whether the distribution network is currently in a good operating state based on clear standards. Based on the judgment results, the corresponding optimization strategy can be executed in a timely manner, effectively improving the reliability, economy and power quality of the distribution network operation, reducing the probability of power outages, extending the service life of equipment, reducing operation and maintenance costs, and better meeting the electricity needs of users.

[0144] The present invention will be described below with reference to a specific embodiment. Figure 2 , including the following process:

[0145] Collect real-time operation data, load data, energy storage system status data and grid topology data in the distribution network;

[0146] Calculate the load fluctuation rate based on load data, calculate the power factor deviation value based on real-time operation data, and calculate the power grid operation risk index based on the load fluctuation rate and power factor deviation value;

[0147] Calculate the energy storage system's charge and discharge power margin based on real-time operating data and energy storage system status data, and calculate the energy storage system utilization rate based on the energy storage system status data; calculate the energy storage system's comprehensive performance indicators based on the charge and discharge power margin, energy storage system utilization rate, and rated charge and discharge power;

[0148] Calculate the grid voltage stability index based on real-time operation data and grid topology data; calculate the grid power flow imbalance index based on load data and grid topology data; calculate the grid performance degradation index based on the grid voltage stability index and grid power flow imbalance index;

[0149] Calculate the comprehensive operation index of the distribution network based on the grid operation risk index, the comprehensive performance index of the energy storage system and the grid performance degradation index;

[0150] A comprehensive operation threshold of the distribution network is preset, the comprehensive operation index of the distribution network is compared with the comprehensive operation threshold of the distribution network, the operation status of the distribution network is judged, and the corresponding optimization strategy is executed according to the judgment result.

[0151] In this embodiment, the real-time operation data, load data, energy storage system status data and grid topology data of the distribution network are collected, and then the grid operation risk index is calculated based on these data. , comprehensive performance indicators of energy storage system and grid performance degradation indicators , and further calculate the comprehensive operation index of the distribution network , and then preset the distribution network comprehensive operation threshold to compare the calculated distribution network comprehensive operation index with it, judge the distribution network operation status, and execute the corresponding optimization strategy according to the judgment result to ensure the stable and efficient operation of the distribution network.

[0152] Example 2:

[0153] Based on the same inventive concept, the present invention also provides an optimized operation system for distribution network flexibility resources, the structural diagram of which is shown in FIG. Figure 3 As shown, including:

[0154] An operation risk index determination module is used to calculate the power grid operation risk index using an operation risk algorithm based on the operation data and load data of the distribution network;

[0155] An energy storage performance index determination module is used to calculate the comprehensive performance index of the energy storage system using an energy storage system performance algorithm based on the operating data and the energy storage system status data of the distribution network;

[0156] a performance degradation index determination module, configured to calculate the power grid performance degradation index using a performance degradation algorithm based on operation data, load data, and power grid topology data of the distribution network;

[0157] A comprehensive operation index determination module is used to perform a weighted summation of the grid operation risk index, the energy storage system comprehensive performance index, and the grid performance degradation index to obtain the distribution network comprehensive operation index;

[0158] The optimization operation module is used to determine the operating status of the distribution network and implement corresponding optimization strategies based on the comprehensive operation indicators of the distribution network.

[0159] In one possible implementation, the operation risk indicator determination module includes:

[0160] A power factor deviation calculation unit, configured to calculate a power factor deviation value using a power factor deviation algorithm based on an actual power factor and a rated power factor in operation data of the distribution network;

[0161] a load fluctuation calculation unit, configured to calculate a load fluctuation rate using a load fluctuation algorithm based on a load value and a load average value in the load data of the distribution network;

[0162] The operation risk calculation unit is used to calculate the power grid operation risk index based on the power factor deviation value and the load fluctuation rate.

[0163] In one possible implementation, the power factor deviation value satisfies the following formula:

[0164] ,in is the power deviation value, is the actual power factor, is the rated power factor;

[0165] The load fluctuation rate satisfies the following formula:

[0166] ,in is the load fluctuation rate, The first The load value at a moment, j is the sequence number corresponding to the moment in the detection cycle, and its value is , m is the number of all moments in the detection cycle, is the load average value at all times during the detection period;

[0167] The grid operation risk index satisfies the following formula:

[0168] ,in is the grid operation risk indicator, is the correction factor.

[0169] In one possible implementation, the energy storage performance indicator determination module includes:

[0170] A charge and discharge power calculation unit, configured to calculate the charge and discharge power margin of the energy storage system using a power margin algorithm based on the operating data and the energy storage coefficient status data of the distribution network;

[0171] An energy storage system utilization rate calculation unit, configured to calculate the energy storage system utilization rate based on the energy storage system status data using an energy storage utilization rate algorithm;

[0172] The energy storage system comprehensive performance calculation unit is used to calculate the comprehensive performance indicators of the energy storage system based on the charging and discharging power margin, energy storage system utilization rate and energy storage system status data.

[0173] In a possible implementation, the charge and discharge power margin satisfies the following formula:

[0174] ,in is the charge and discharge power margin, is the rated charge and discharge power in the energy storage system status data, is the charge and discharge power at the jth moment in the detection cycle in the operating data, is the average charge and discharge power in the operating data, is the charge and discharge power at the mth moment in the detection cycle in the energy storage system status data;

[0175] The energy storage system utilization rate satisfies the following formula:

[0176] ,in is the energy storage system utilization rate, The energy storage system status data is the first The energy storage system releases energy at each moment. is the rated energy stored in the energy storage system in the energy storage system status data, is the maximum energy capacity of the energy storage system in the energy storage system status data, Energy lost to the energy storage system Energy loss coefficient;

[0177] The comprehensive performance index of the energy storage system satisfies the following formula:

[0178] ,in, is the comprehensive performance index of the energy storage system. is the charge and discharge power margin, is the rated charge and discharge power, is the utilization rate of the energy storage system.

[0179] In one possible implementation, the performance degradation indicator determination module includes:

[0180] a voltage stability calculation unit, configured to calculate a power grid voltage stability index using a voltage stability algorithm based on operation data and power grid topology data of the distribution network;

[0181] A power flow imbalance calculation unit, configured to calculate a power flow imbalance index of a power grid using a power flow imbalance algorithm based on load data and power grid topology data;

[0182] A power grid performance degradation calculation unit, configured to calculate a power grid performance degradation index based on a power grid voltage stability index and a power grid power flow imbalance index;

[0183] In one possible implementation, the grid voltage stability index satisfies the following formula:

[0184] ,in is the grid voltage stability index, It is the serial number corresponding to different nodes, and its value is , is the number of nodes in the power grid topology data, For the running data The real-time voltage of each node, For the running data Rated voltage of each node;

[0185] The power grid flow imbalance index satisfies the following formula:

[0186] ,in is the power flow imbalance index, is the load impedance of the wth node in the load data, is the admittance matrix of the wth node in the power grid topology data, The load data The node Active power of various load types, It is the serial number corresponding to different load types, and its value is , is the number of load types, For the The influencing factors of active power of different load types;

[0187] The grid performance degradation index satisfies the following formula:

[0188] ,in is the grid performance degradation index, is the maximum grid voltage stability index, is the minimum grid voltage stability index; is the maximum grid power flow imbalance index, is the minimum grid power flow imbalance index.

[0189] In one possible implementation, the optimization operation module includes:

[0190] a comparison unit, configured to compare the comprehensive operation index of the distribution network with a comprehensive operation threshold;

[0191] A first optimization unit is configured to determine that the distribution network operation status is qualified if the comprehensive operation index of the distribution network is greater than or equal to the comprehensive operation threshold, and continue to monitor the operation data, load data and energy storage system data of the distribution network;

[0192] The second optimization unit is used to determine that there is a problem with the operation of the distribution network if the comprehensive operation index of the distribution network is less than the comprehensive operation threshold, use the intelligent switch to isolate different areas of the distribution network, check the fault area in different areas, and adjust and optimize the fault problems in the fault area until the distribution network operation status is qualified.

[0193] Example 3:

[0194] like Figure 4 As shown, the present invention also provides an electronic device, which may be a computer, a single-chip microcomputer, a smart mobile device, or the like. The electronic device in this embodiment may include a processor, a memory, a transceiver component, and the like. The memory, processor, and transceiver component are connected via a bus; the memory may be used to store an execution program, which may include instructions; and the processor may be used to execute the instructions stored in the memory. The memory may also be used to store data, which may be accessed and / or modified during the execution of the instructions.

[0195] The processor may be a central processing unit (CPU), or it may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the storage medium to implement the corresponding method flow or corresponding function, so as to realize the steps of the optimization operation method of the distribution network flexibility resources in the above embodiment.

[0196] Example 4:

[0197] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in the electronic device for storing programs and data. It is understandable that the storage medium here can include both built-in storage media in the electronic device and, of course, extended storage media supported by the electronic device. The storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space. These instructions can be one or more execution programs (including program code). It should be noted that the storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage. The processor loads and executes one or more instructions stored in the storage medium to implement the steps of the method for optimizing the operation of distribution network flexibility resources in the above embodiment.

[0198] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0199] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0200] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0201] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0202] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit its scope of protection. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that after reading the present invention, those skilled in the art may still make various changes, modifications or equivalent substitutions to the specific implementation methods of the invention, but these changes, modifications or equivalent substitutions are all within the scope of protection of the pending claims of the invention.

Claims

1. A method for optimizing the operation of distribution network flexibility resources, characterized in that: The method comprises: Based on the operation data and load data of the distribution network, the operation risk algorithm is used to calculate the power grid operation risk index; Calculating comprehensive performance indicators of the energy storage system using an energy storage system performance algorithm based on the operating data and energy storage system status data of the distribution network; Calculating a power grid performance degradation index using a performance degradation algorithm based on the operation data, the load data, and power grid topology data of the distribution network; Performing a weighted summation on the grid operation risk index, the energy storage system comprehensive performance index, and the grid performance degradation index to obtain a distribution network comprehensive operation index; Based on the comprehensive operating indicators of the distribution network, determining the operating status of the distribution network and executing corresponding optimization strategies; The calculation of the power grid operation risk index using the operation risk algorithm based on the operation data and load data of the distribution network includes: calculating the load fluctuation rate using the load fluctuation algorithm according to the load data, calculating the power factor deviation value using the power factor deviation algorithm according to the operation data, and calculating the power grid operation risk index according to the load fluctuation rate and the power factor deviation value; The calculation of the comprehensive performance index of the energy storage system using the energy storage system performance algorithm based on the operation data and the energy storage system status data of the distribution network includes: calculating the charge and discharge power margin of the energy storage system using the power margin algorithm based on the operation data and the energy storage coefficient status data of the distribution network; calculating the energy storage system utilization rate using the energy storage utilization rate algorithm based on the energy storage system status data; and calculating the comprehensive performance index of the energy storage system based on the charge and discharge power margin, the energy storage system utilization rate and the energy storage system status data. The calculating of the grid performance degradation index using a performance degradation algorithm based on the operating data, the load data and the grid topology data of the distribution network includes: calculating the grid voltage stability index using a voltage stability algorithm based on the operating data and the grid topology data of the distribution network; calculating the grid power flow imbalance index using a power flow imbalance algorithm based on the load data and the grid topology data; and calculating the grid performance degradation index based on the grid voltage stability index and the grid power flow imbalance index.

2. The method according to claim 1, wherein The calculation of the power grid operation risk index using the operation risk algorithm based on the operation data and load data of the distribution network includes: Based on the actual power factor and the rated power factor in the operation data of the distribution network, the power factor deviation value is calculated using the power factor deviation algorithm; Based on the load value and the average load value in the load data of the distribution network, the load fluctuation rate is calculated using the load fluctuation algorithm; Based on the power factor deviation value and the load fluctuation rate, a power grid operation risk index is calculated.

3. The method according to claim 2, wherein The power factor deviation value satisfies the following formula: ,in is the power deviation value, is the actual power factor, is the rated power factor; The load fluctuation rate satisfies the following formula: ,in is the load fluctuation rate, The first The load value at a moment, j is the sequence number corresponding to the moment in the detection cycle, and its value is , m is the number of all moments in the detection cycle, is the load average value at all times during the detection period; The grid operation risk index satisfies the following formula: ,in is the grid operation risk indicator, is the correction factor.

4. The method according to claim 1, wherein The charge and discharge power margin satisfies the following formula: ,in is the charge and discharge power margin, is the rated charge and discharge power in the energy storage system status data, is the charge and discharge power at the jth moment in the detection cycle in the operating data, is the average charge and discharge power in the operating data, is the charge and discharge power at the mth moment in the detection cycle in the energy storage system status data; The energy storage system utilization rate satisfies the following formula: ,in is the energy storage system utilization rate, The energy storage system status data is the first The energy storage system releases energy at each moment. is the rated energy stored in the energy storage system in the energy storage system status data, is the maximum energy capacity of the energy storage system in the energy storage system status data, Energy lost to the energy storage system Energy loss coefficient; The comprehensive performance index of the energy storage system satisfies the following formula: ,in, is the comprehensive performance index of the energy storage system. is the charge and discharge power margin, is the rated charge and discharge power, is the utilization rate of the energy storage system.

5. The method according to claim 1, wherein The grid voltage stability index satisfies the following formula: ,in is the grid voltage stability index, It is the serial number corresponding to different nodes, and its value is , is the number of nodes in the power grid topology data, For the running data The real-time voltage of each node, For the running data Rated voltage of each node; The power grid flow imbalance index satisfies the following formula: ,in is the power flow imbalance index, is the load impedance of the wth node in the load data, is the admittance matrix of the wth node in the power grid topology data, The load data The node Active power of various load types, It is the serial number corresponding to different load types, and its value is , is the number of load types, For the The influencing factors of active power of different load types; The grid performance degradation index satisfies the following formula: ,in is the grid performance degradation index, is the maximum grid voltage stability index, is the minimum grid voltage stability index; is the maximum grid power flow imbalance index, is the minimum grid power flow imbalance index.

6. The method according to claim 1, wherein Determining the operating state of the distribution network and executing a corresponding optimization strategy based on the comprehensive operating index of the distribution network includes: comparing the distribution network comprehensive operation index with a comprehensive operation threshold; If the comprehensive operation index of the distribution network is greater than or equal to the comprehensive operation threshold, the operation status of the distribution network is determined to be qualified, and the operation data, load data and energy storage system data of the distribution network are continued to be monitored; If the comprehensive operation index of the distribution network is less than the comprehensive operation threshold, it is determined that there is a problem with the operation of the distribution network. The intelligent switch is used to isolate different areas of the distribution network, and the fault area is checked in the different areas. The fault problems in the fault area are adjusted and optimized until the distribution network is in a qualified operating state.

7. An optimized operation system for distribution network flexibility resources, characterized in that: include: An operation risk index determination module is used to calculate the power grid operation risk index using an operation risk algorithm based on the operation data and load data of the distribution network; An energy storage performance index determination module is used to calculate the comprehensive performance index of the energy storage system using an energy storage system performance algorithm based on the operating data and the energy storage system status data of the distribution network; a performance degradation index determination module, configured to calculate a power grid performance degradation index using a performance degradation algorithm based on the operation data, the load data, and power grid topology data of the distribution network; a comprehensive operation index determination module, configured to perform a weighted summation of the grid operation risk index, the energy storage system comprehensive performance index, and the grid performance degradation index to obtain a distribution network comprehensive operation index; An optimization operation module, configured to determine the operation status of the distribution network and execute corresponding optimization strategies based on the comprehensive operation indicators of the distribution network; The calculation of the power grid operation risk index using the operation risk algorithm based on the operation data and load data of the distribution network includes: calculating the load fluctuation rate using the load fluctuation algorithm according to the load data, calculating the power factor deviation value using the power factor deviation algorithm according to the operation data, and calculating the power grid operation risk index according to the load fluctuation rate and the power factor deviation value; The calculation of the comprehensive performance index of the energy storage system using the energy storage system performance algorithm based on the operation data and the energy storage system status data of the distribution network includes: calculating the charge and discharge power margin of the energy storage system using the power margin algorithm based on the operation data and the energy storage coefficient status data of the distribution network; calculating the energy storage system utilization rate using the energy storage utilization rate algorithm based on the energy storage system status data; and calculating the comprehensive performance index of the energy storage system based on the charge and discharge power margin, the energy storage system utilization rate and the energy storage system status data. The calculating of the grid performance degradation index using a performance degradation algorithm based on the operating data, the load data and the grid topology data of the distribution network includes: calculating the grid voltage stability index using a voltage stability algorithm based on the operating data and the grid topology data of the distribution network; calculating the grid power flow imbalance index using a power flow imbalance algorithm based on the load data and the grid topology data; and calculating the grid performance degradation index based on the grid voltage stability index and the grid power flow imbalance index.

8. An electronic device, characterized in that: include: at least one processor and memory; The memory and the processor are connected via a bus; The memory is used to store one or more programs; When the one or more programs are executed by the at least one processor, the method for optimizing operation of distribution network flexibility resources as described in any one of claims 1 to 6 is implemented.

9. A readable storage medium, characterized in that An execution program is stored thereon, and when the execution program is executed, the optimization operation method of the distribution network flexibility resources as described in any one of claims 1 to 6 is implemented.

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