Distribution network normalized operation analysis method and system based on reactive power regulation capability partition

Abstract

The invention relates to the technical field of power distribution analysis, in particular to a distribution network normalized operation analysis method and system based on reactive power regulation capability partition. The scheme comprises the steps of performing reactive power regulation capability evaluation on an observed power grid; predicting the closest reactive power demand according to the weather change; performing on-line adjustment on a preset partition to form a reactive power partition of the power distribution network; performing independent reactive power source operation state evaluation on each partition to form operation state data; optimizing a reactive power control strategy based on the operation state data; and starting the deployed monitoring system, and displaying the partition, the operation state data and the reactive power control strategy of each node. According to the scheme, through the analysis method and system based on reactive power regulation capability partition, the operation efficiency and economical efficiency of the power distribution network are improved, and meanwhile the reliability and adaptability of the system are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution analysis, and more specifically, to a distribution network normalized operation analysis method and system based on reactive power regulation capability zoning. Background Art

[0002] In the field of power distribution analysis, the research on the analysis method and system of normal operation of distribution network based on reactive power regulation capability zoning is of great significance. This method aims to optimize the reactive power compensation strategy and improve the stability and economy of the power system by evaluating the reactive source regulation capability in the distribution network and reasonably zoning it according to its spatial distribution. This approach can not only effectively cope with the challenges brought by the access of new energy, but also improve the controllability and flexibility of the distribution network, thereby enhancing the reliability and adaptability of the system. Through refined management and dynamic scheduling, the system helps to achieve voltage stability, reduce line losses, and improve power supply quality, which has a far-reaching impact on promoting the development of smart grids.

[0003] Prior to the technology of the present invention, the existing distribution network normal operation analysis methods based on reactive power regulation capability zoning mainly adopted two methods: zoning based on the physical structure of the distribution network and adaptive zoning. Although these methods have certain operability, they have many difficulties and key points when facing new challenges such as high penetration of new energy, extensive access to energy storage equipment and flexible loads. For example, how to accurately evaluate the reactive power regulation capabilities of new energy, energy storage equipment and flexible loads, how to achieve optimal configuration of reactive resources under complex and changeable operating conditions, and how to improve the response speed and dynamic quality of the control system. These problems need to be solved through innovative technical means and methods to adapt to the continuous development of the power system and changes in real-time operating conditions. Summary of the invention

[0004] In view of the above problems, the present invention proposes a distribution network normal operation analysis method and system based on reactive power regulation capability zoning. Through the analysis method and system based on reactive power regulation capability zoning, the operation efficiency and economy of the distribution network are improved, and the reliability and adaptability of the system are enhanced.

[0005] According to a first aspect of an embodiment of the present invention, a method for analyzing normalized operation of a distribution network based on reactive power regulation capability zoning is provided.

[0006] In one or more embodiments, preferably, the distribution network normalization operation analysis method based on reactive power regulation capability partitioning includes:

[0007] Evaluate the reactive power regulation capability of the observed power grid;

[0008] Predict the nearest reactive power demand based on weather changes;

[0009] Online adjustment of preset partitions to form reactive power partitions of distribution network;

[0010] Conduct independent reactive power source operation status assessment for each partition to form operation status data;

[0011] Optimize reactive power control strategy based on operating status data;

[0012] Start the deployed monitoring system and display the partition, operation status data and reactive power control strategy of each node.

[0013] In one or more embodiments, preferably, the evaluating the reactive power regulation capability of the observed power grid specifically includes:

[0014] Collecting operating parameters of all reactive power sources in the observed distribution network, the operating parameters including rated capacity, current output power and response time;

[0015] According to the operating parameters, a reactive power regulation capability model of the reactive power source is established;

[0016] Calculating the available capacity of reactive power sources in a preset partition using a first calculation formula;

[0017] The first calculation formula is:

[0018] Qa=f(Pr,Pc,T)

[0019] Among them, Qa is the available capacity of the reactive source, Pr is the rated capacity of the reactive source, Pc is the current output power, f is the conversion function generated according to the reactive regulation capability model, the calculation process of f is mainly based on the preset coefficient group and table, and T is the time.

[0020] In one or more embodiments, preferably, predicting the closest reactive power demand according to weather changes specifically includes:

[0021] Analyze historical load data and weather data to form historical data change curves and weather change curves;

[0022] Utilize reactive power demands in all historical data to obtain optimal k1 and k2 that satisfy the second calculation formula;

[0023] Based on the historical data change curve and the weather change curve, the weather and historical data at the future moment are formed and used as input data to map with the reactive power demand. The mapping function is the third calculation formula.

[0024] The second calculation formula is:

[0025] {K1, K2}=argmin(k1×Lt+k2×Wt-QCt)

[0026] Wherein, {K1, K2} is the optimal k1 and k2, QCt is the real reactive power demand at the tth moment in the historical data, k1 is the first demand index, k2 is the second demand index, Lt is the load data in the history, W is the preset index converted into reactive power demand according to the weather forecast temperature, argmin() is the function of k1 and k2 that minimizes the sum of k1×Lt+k2×Wt-QCt at all moments in the historical data;

[0027] The third calculation formula is:

[0028] Qd(t)=K1×Lt+K2×Wt

[0029] Among them, Qd(t) is the result obtained according to reactive power demand mapping.

[0030] In one or more embodiments, preferably, the online adjustment of the preset partition to form the reactive partition of the distribution network specifically includes:

[0031] Divide each node into a sub-region, calculate the modularity function at this time using the fourth calculation formula and record it;

[0032] For node i, select any node j connected to it to form a new partition, calculate the modularity function, calculate all nodes connected to node i respectively, select the one with the largest modularity function value as the new partition and keep it until all N nodes in the distribution network system are traversed;

[0033] When no new partition can be generated in the cycle or the calculated value of the modularity function reaches the maximum, the partitioning is stopped; the fourth calculation formula is:

[0034]

[0035] Among them, QvQ is the modularity function, m Q is the sum of all reactive power-voltage sensitivity weights or active power network loss-voltage sensitivity weights, k i , k j They represent the sum of reactive power-voltage sensitivity weights and active power network loss-voltage sensitivity weights of all nodes connected to node i and node j respectively. The specific calculation formula is:

[0036]

[0037] Among them, δ(i,j) is used to determine whether node i and node j are in the same partition. If node i and node j are in the same partition, δ(i,j)=1, otherwise δ(i,j)=0. The reactive power to voltage sensitivity is obtained according to the sensitivity calculation formula. The reactive power-voltage sensitivity weight corresponding to wij is the reactive power to voltage sensitivity multiplied by the sum of the reactive power flowing from node i to node j. The active power to voltage sensitivity is obtained according to the sensitivity calculation formula. The active power-voltage sensitivity weight corresponding to wij is the active power to voltage sensitivity multiplied by the electrical distance between node i and node j.

[0038] In one or more embodiments, preferably, the performing independent reactive source operation status evaluation on each partition to form operation status data specifically includes:

[0039] Real-time collection of operating status data of reactive power sources in each reactive power regulation area;

[0040] Analyze the collected data using the fifth calculation formula to evaluate the operating status of the reactive power source;

[0041] The fifth calculation formula is:

[0042] S=L(Qoutput,Qavailable)

[0043] Among them, S is the operating status of the reactive source, Qoutput is the current output power, Qavailable is the available capacity, and L is a mapping relationship function. Different output powers and available capacities are mapped by a preset L. Therefore, L is used to determine whether the current S is 1 or 0. S=1 represents that the current state is reliable, and S=0 represents that the current state is unreliable.

[0044] In one or more embodiments, preferably, the optimizing reactive power control strategy based on the operating status data specifically includes:

[0045] Get the area where S is 0, set constraints, and dynamically adjust the reactive power control strategy according to the constraints;

[0046] Get the area where S is 1, and use the network loss objective function to optimize the reactive power control strategy with the goal of minimizing network loss;

[0047] The objective function can be expressed as:

[0048] Minimize Ploss=j(Qsource,Qdemand,Cost)

[0049] Wherein, Ploss is the network loss, Qsource is the output power of the reactive source, Qdemand is the reactive demand, Cost is the cost, and j is the network loss mapping function, which is used to map the cost network loss price corresponding to the reactive demand under different reactive source power outputs.

[0050] In one or more embodiments, preferably, the monitoring system that starts the deployment and displays the partition, operation status data and reactive power control strategy of each node specifically includes:

[0051] Deploy a real-time monitoring system in the distribution network to collect operating data of each reactive power source;

[0052] Display the partition status and operation status data of each node;

[0053] Analyze the collected data to determine whether the operating status of the reactive power source needs to be adjusted;

[0054] Based on the analysis results, adjustment instructions are sent to the reactive power source.

[0055] According to a second aspect of an embodiment of the present invention, a distribution network normalized operation analysis system based on reactive power regulation capability zoning is provided.

[0056] In one or more embodiments, preferably, the distribution network normalization operation analysis system based on reactive power regulation capability partitioning includes:

[0057] Reactive power regulation capability evaluation module, used to evaluate the reactive power regulation capability of the observed power grid;

[0058] Reactive power demand forecasting module, used to forecast the nearest reactive power demand according to weather changes;

[0059] Reactive power regulation area division module, used to perform online regulation on preset partitions to form reactive power partitions of distribution network;

[0060] Operation status analysis module, used to independently evaluate the operation status of reactive power sources in each partition to form operation status data;

[0061] Optimization dispatch strategy formulation module, used to optimize reactive power control strategy based on operation status data;

[0062] The real-time monitoring and adjustment module is used to start the deployed monitoring system and display the partition, operating status data and reactive power control strategy of each node.

[0063] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0064] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0065] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0066] In the solution of the present invention, by optimizing the dispatching strategy of reactive power sources, the network loss of the system and the operating cost of the voltage regulating equipment can be reduced, thereby improving the economic benefits of the distribution network.

[0067] In the solution of the present invention, reasonable reactive power regulation capacity zoning and optimized dispatching strategy can improve the power supply reliability of the distribution network and reduce power outage accidents caused by voltage fluctuation or instability.

[0068] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0069] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0071] Figure 1 It is a flow chart of a method for analyzing normalized operation of a distribution network based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0072] Figure 2 It is a flow chart of evaluating the reactive power regulation capability of an observed power grid in a distribution network normalized operation analysis method based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0073] Figure 3 It is a flowchart of predicting the closest reactive power demand according to weather changes in a distribution network normal operation analysis method based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0074] Figure 4The invention is a flow chart of performing online regulation on preset partitions to form reactive power partitions of a distribution network in a method for analyzing normalized operation of a distribution network based on reactive power regulation capability partitioning according to an embodiment of the present invention.

[0075] Figure 5 The invention discloses a flow chart of performing independent reactive source operation status evaluation for each partition in a distribution network normal operation analysis method based on reactive power regulation capability partitioning in an embodiment of the present invention to form operation status data.

[0076] Figure 6 It is a flow chart of optimizing reactive power control strategy based on operating status data in a distribution network normalized operation analysis method based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0077] Figure 7 It is a monitoring system for startup deployment in a distribution network normalized operation analysis method based on reactive power regulation capability zoning according to an embodiment of the present invention, and displays the zoning of each node, operating status data and a flowchart of reactive power control strategy.

[0078] Figure 8 It is a structural diagram of a distribution network normalized operation analysis system based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0079] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0080] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0081] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0082] In the field of power distribution analysis, the research on the analysis method and system of normal operation of distribution network based on reactive power regulation capability zoning is of great significance. This method aims to optimize the reactive power compensation strategy and improve the stability and economy of the power system by evaluating the reactive source regulation capability in the distribution network and reasonably zoning it according to its spatial distribution. This approach can not only effectively cope with the challenges brought by the access of new energy, but also improve the controllability and flexibility of the distribution network, thereby enhancing the reliability and adaptability of the system. Through refined management and dynamic scheduling, the system helps to achieve voltage stability, reduce line losses, and improve power supply quality, which has a far-reaching impact on promoting the development of smart grids.

[0083] Prior to the technology of the present invention, the existing distribution network normal operation analysis methods based on reactive power regulation capability zoning mainly adopted two methods: zoning based on the physical structure of the distribution network and adaptive zoning. Although these methods have certain operability, they have many difficulties and key points when facing new challenges such as high penetration of new energy, extensive access to energy storage equipment and flexible loads. For example, how to accurately evaluate the reactive power regulation capabilities of new energy, energy storage equipment and flexible loads, how to achieve optimal configuration of reactive resources under complex and changeable operating conditions, and how to improve the response speed and dynamic quality of the control system. These problems need to be solved through innovative technical means and methods to adapt to the continuous development of the power system and changes in real-time operating conditions.

[0084] In the embodiment of the present invention, a distribution network normal operation analysis method and system based on reactive power regulation capability zoning are provided. The scheme improves the operation efficiency and economy of the distribution network through the analysis method and system based on reactive power regulation capability zoning, and at the same time enhances the reliability and adaptability of the system.

[0085] According to a first aspect of an embodiment of the present invention, a method for analyzing normalized operation of a distribution network based on reactive power regulation capability zoning is provided.

[0086] Figure 1 It is a flow chart of a method for analyzing normalized operation of a distribution network based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0087] In one or more embodiments, preferably, the distribution network normalization operation analysis method based on reactive power regulation capability partitioning includes:

[0088] S101, evaluating the reactive power regulation capability of the observed power grid;

[0089] S102. Predict the nearest reactive power demand according to weather changes;

[0090] S103, performing online adjustment on the preset partitions to form reactive power partitions of the distribution network;

[0091] S104, independently evaluating the reactive power source operation status of each partition to form operation status data;

[0092] S105, optimizing reactive power control strategy based on operation status data;

[0093] S106: Start the deployed monitoring system and display the partition, operation status data and reactive power control strategy of each node.

[0094] In an embodiment of the present invention, first, the reactive power regulation capability of the reactive sources in the distribution network is evaluated to determine the available capacity of each reactive source under different operating conditions. Secondly, based on historical data and weather forecast information, the reactive power demand of the distribution network in the future is predicted. Then, according to the location of the reactive sources and the spatial distribution of the reactive power demand, the distribution network is divided into a number of reactive power regulation areas. Next, the operating status of the reactive sources in each reactive power regulation area is analyzed, including parameters such as current output power, remaining capacity, and response time. On this basis, an optimized scheduling strategy for reactive sources is formulated to achieve economical and reliable operation of the distribution network. Finally, the operating data of each reactive source is collected through a real-time monitoring system, and adjustments are made as needed to ensure the stable operation of the distribution network.

[0095] Figure 2 It is a flow chart of evaluating the reactive power regulation capability of an observed power grid in a distribution network normalized operation analysis method based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0096] like Figure 2 As shown, in one or more embodiments, preferably, the reactive power regulation capability evaluation of the observed power grid specifically includes:

[0097] S201, collecting operating parameters of all reactive sources in the observed distribution network, wherein the operating parameters include rated capacity, current output power and response time;

[0098] S202, establishing a reactive power regulation capability model of a reactive power source according to the operating parameters;

[0099] S203, calculating the available capacity of the reactive power source in the preset partition using the first calculation formula;

[0100] The first calculation formula is:

[0101] Qa=f(Pr,Pc,T)

[0102] Among them, Qa is the available capacity of the reactive source, Pr is the rated capacity of the reactive source, Pc is the current output power, f is the conversion function generated according to the reactive regulation capability model, the calculation process of f is mainly based on the preset coefficient group and table, and T is the time.

[0103] In an embodiment of the present invention, the operating parameters of all reactive sources in the observed distribution network are collected, including rated capacity, current output power and response time. These parameters are the basic data for evaluating reactive regulation capability. Establish a model: Based on the collected operating parameters, establish a mathematical model of reactive regulation capability. This model will be used to calculate the available capacity of reactive sources under different conditions. Calculate available capacity: Use the first calculation formula (Qa=f(Pr, Pc, T)) to calculate the available capacity of reactive sources in the preset partition. In this formula, Qa is the available capacity of the reactive source, Pr is the rated capacity of the reactive source, Pc is the current output power, f is the conversion function generated according to the reactive regulation capability model, and T is time. The calculation process of this formula is mainly based on preset coefficient groups and tables. For example, suppose there is a reactive source with a rated capacity of 100MVA, a current output power of 50MVA, and a response time of 1 second. According to the reactive regulation capability model and the preset coefficient group, we can calculate that the available capacity of the reactive source under current conditions is 70MVA.

[0104] Figure 3 It is a flowchart of predicting the closest reactive power demand according to weather changes in a distribution network normal operation analysis method based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0105] like Figure 3 As shown, in one or more embodiments, preferably, predicting the closest reactive power demand according to weather changes specifically includes:

[0106] S301, analyzing historical load data and weather data to form a historical data change curve and a weather change curve;

[0107] S302, using reactive power demands in all historical data to obtain optimal k1 and k2 that satisfy the second calculation formula;

[0108] S303, based on the historical data change curve and the weather change curve, the weather and historical data at the future time are formed, and the data are used as input data to be mapped with the reactive power demand, and the mapping function is the third calculation formula;

[0109] The second calculation formula is:

[0110] {K1, K2}=argmin(k1×Lt+k2×Wt-QCt)

[0111] Wherein, {K1, K2} is the optimal k1 and k2, QCt is the real reactive power demand at the tth moment in the historical data, k1 is the first demand index, k2 is the second demand index, Lt is the load data in the history, W is the preset index converted into reactive power demand according to the weather forecast temperature, argmin() is the function of k1 and k2 that minimizes the sum of k1×Lt+k2×Wt-QCt at all moments in the historical data;

[0112] The third calculation formula is:

[0113] Qd(t)=K1×Lt+K2×Wt

[0114] Among them, Qd(t) is the result obtained according to reactive power demand mapping.

[0115] In an embodiment of the present invention, it is necessary to collect historical load data and weather data and analyze these data. Through analysis, a historical data change curve and a weather change curve can be formed. These curves will serve as the basis for subsequent calculations. The reactive power demand in all historical data is used to obtain the optimal k1 and k2 that meet the second calculation formula. These two parameters are the first demand index and the second demand index, which are used to quantify the impact of historical load data and weather data on reactive power demand. Based on the historical data change curve and the weather change curve, the weather and historical data at the future moment are formed and mapped with the reactive power demand as input data. This mapping function is the third calculation formula, which converts the input data into a predicted value of reactive power demand. In practical applications, the second calculation formula can be used to solve the optimal k1 and k2. Then, these parameters are substituted into the third calculation formula to obtain the reactive power demand prediction value Qd(t) at the future moment. This predicted value is calculated based on the historical data and weather data, so it can be considered as the prediction result closest to the actual reactive power demand. For example, suppose there is a power grid system whose historical load data and weather data have been collected. By analyzing these data, a historical data change curve and a weather change curve are formed. Then, the reactive power demand in all historical data was used to obtain the optimal k1 and k2 that satisfied the second calculation formula. Next, a mapping function was established based on these curves and parameters. Finally, the future weather and historical data were used as input data and substituted into the mapping function to obtain the reactive power demand forecast value Qd(t) at the future moment. This forecast value can help the power grid system better plan the reactive power compensation strategy to ensure the stable operation of the power grid.

[0116] Figure 4 The invention is a flow chart of performing online regulation on preset partitions to form reactive power partitions of a distribution network in a method for analyzing normalized operation of a distribution network based on reactive power regulation capability partitioning according to an embodiment of the present invention.

[0117] like Figure 4 As shown, in one or more embodiments, preferably, the online adjustment of the preset partition to form the reactive partition of the distribution network specifically includes:

[0118] S401, dividing each node into a sub-region, calculating the modularity function at this time using the fourth calculation formula and recording it;

[0119] S402, for node i, select any node j connected to it to form a new partition, calculate the modularity function, calculate all nodes connected to node i respectively, select the one with the largest modularity function value as the new partition and retain it, until all N nodes in the distribution network system are traversed;

[0120] S403, when no new partition can be generated in the cycle or the calculated value of the modularity function reaches the maximum, stop partitioning;

[0121] The fourth calculation formula is:

[0122]

[0123] Among them, QvQ is the modularity function, m Q is the sum of all reactive power-voltage sensitivity weights or active power network loss-voltage sensitivity weights, k i , k j They represent the sum of reactive power-voltage sensitivity weights and active power network loss-voltage sensitivity weights of all nodes connected to node i and node j respectively. The specific calculation formula is:

[0124]

[0125] Among them, δ(i,j) is used to determine whether node i and node j are in the same partition. If node i and node j are in the same partition, δ(i,j)=1, otherwise δ(i,j)=0. The reactive power to voltage sensitivity is obtained according to the sensitivity calculation formula. The reactive power-voltage sensitivity weight corresponding to wij is the reactive power to voltage sensitivity multiplied by the sum of the reactive power flowing from node i to node j. The active power to voltage sensitivity is obtained according to the sensitivity calculation formula. The active power-voltage sensitivity weight corresponding to wij is the active power to voltage sensitivity multiplied by the electrical distance between node i and node j.

[0126] In an embodiment of the present invention, the preset partition is adjusted online to form a reactive partition of the distribution network. Each node is divided into a sub-area separately, and the modularity function at this time is calculated and recorded using the fourth calculation formula. This step is to evaluate the system performance when each node is an independent partition. For node i, select any node j connected to it to form a new partition, calculate the modularity function, calculate all nodes connected to node i respectively, select the one with the largest modularity function value as the new partition and retain it. This process is repeated until all N nodes in the distribution network system are traversed. When no new partition can be generated in the cycle or the calculated value of the modularity function reaches the maximum, the partition is stopped. This indicates that the optimal partitioning scheme has been found, or further partitioning can no longer improve the performance of the system. The calculation of the modularity function QvQ involves the sum of all reactive power-voltage sensitivity weights or active power network loss-voltage sensitivity weights. Specifically, it includes the sum of all reactive power-voltage sensitivity weights and the sum of active power network loss-voltage sensitivity weights connected to node i and node j. These weights are obtained according to the sensitivity calculation formula and are used to determine whether node i and node j are in the same partition. The reactive power to voltage sensitivity is obtained according to the sensitivity calculation formula. The reactive power-voltage sensitivity weight corresponding to wi j is the reactive power to voltage sensitivity multiplied by the sum of reactive powers flowing from node i to node j. The active power to voltage sensitivity is obtained according to the sensitivity calculation formula. The active power-voltage sensitivity weight corresponding to wi j is obtained by multiplying the active power to voltage sensitivity by the electrical distance between node i and node j.

[0127] Figure 5 The invention discloses a flow chart of performing independent reactive source operation status evaluation for each partition in a distribution network normal operation analysis method based on reactive power regulation capability partitioning in an embodiment of the present invention to form operation status data.

[0128] like Figure 5 As shown, in one or more embodiments, preferably, the independent reactive source operation status evaluation for each partition is performed to form operation status data, specifically including:

[0129] S501, collecting the operating status data of reactive power sources in each reactive power regulation area in real time;

[0130] S502, analyzing the collected data using the fifth calculation formula to evaluate the operating status of the reactive power source;

[0131] The fifth calculation formula is:

[0132] S=L(Qoutput,Qavailable)

[0133] Among them, S is the operating status of the reactive source, Qoutput is the current output power, Qavailable is the available capacity, and L is a mapping relationship function. Different output powers and available capacities are mapped by a preset L. Therefore, L is used to determine whether the current S is 1 or 0. S=1 represents that the current state is reliable, and S=0 represents that the current state is unreliable.

[0134] In an embodiment of the present invention, the operating status data of the reactive source in each reactive regulation area is collected in real time. These data include the current output power and available capacity of the reactive source. The collected data is analyzed using the fifth calculation formula to evaluate the operating status of the reactive source. This formula is S=L(Qoutput, Qavai l ab le), where S is the operating status of the reactive source, Qoutput is the current output power, Qavai l ab le is the available capacity, and L is a mapping relationship function. The mapping relationship function L is used to map different output powers and available capacities to pre-set states. For example, if the output power is close to the available capacity, then L may be mapped to a high state value (such as 1), indicating that the operating state of the reactive source is reliable; if the output power is much lower than the available capacity, then L may be mapped to a low state value (such as 0), indicating that the operating state of the reactive source is unreliable. According to the result of the mapping relationship function L, it can be determined whether the current S is 1 or 0. S=1 represents that the current state is reliable, and S=0 represents that the current state is unreliable.

[0135] Figure 6 It is a flow chart of optimizing reactive power control strategy based on operating status data in a distribution network normalized operation analysis method based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0136] like Figure 6 As shown, in one or more embodiments, preferably, the optimization of reactive power control strategy based on operating status data specifically includes:

[0137] S601, obtaining an area where S is 0, setting constraints, and dynamically adjusting the reactive power control strategy according to the constraints;

[0138] S602, obtaining the area where S is 1, and optimizing the reactive power control strategy by using the network loss objective function with the goal of minimizing the network loss;

[0139] The objective function can be expressed as:

[0140] Minimize Ploss=j(Qsource,Qdemand,Cost)

[0141] Wherein, Ploss is the network loss, Qsource is the output power of the reactive source, Qdemand is the reactive demand, Cost is the cost, and j is the network loss mapping function, which is used to map the cost network loss price corresponding to the reactive demand under different reactive source power outputs.

[0142] In an embodiment of the present invention, first, it is necessary to obtain the area where S is 0 in the operating status data. The operating status of the reactive source in these areas is unreliable, and special control strategies may need to be adopted to ensure the stability of the power grid. For the area where S is 0, corresponding constraints are set. These constraints may include the maximum output power, minimum output power, response time, etc. of the reactive source. According to these constraints, the reactive control strategy can be dynamically adjusted to ensure the stability and reliability of the power grid. At the same time, it is also necessary to obtain the area where S is 1 in the operating status data. The operating status of the reactive source in these areas is reliable, and a more refined reactive control strategy optimization can be performed. For the area where S is 1, the reactive control strategy is optimized with the network loss objective function as the goal of minimizing the network loss. This objective function can be expressed as Minimize P l oss = j (Qsource, Qdemand, Cost), where P l oss is the network loss, Qsource is the output power of the reactive source, Qdemand is the reactive demand, Cost is the cost, and j is the network loss mapping function, which is used to map the cost network loss price corresponding to the reactive demand under different reactive source power outputs. During the optimization process, the output power and reactive power demand of the reactive power source need to be adjusted according to the result of the objective function to achieve the minimum network loss. This may need to be achieved through iterative calculation.

[0143] Figure 7 It is a monitoring system for startup deployment in a distribution network normalized operation analysis method based on reactive power regulation capability zoning according to an embodiment of the present invention, and displays the zoning of each node, operating status data and a flowchart of reactive power control strategy.

[0144] like Figure 7 As shown, in one or more embodiments, preferably, the monitoring system that starts the deployment and displays the partition, operation status data and reactive power control strategy of each node specifically includes:

[0145] S701. Deploy a real-time monitoring system in the distribution network to collect operating data of each reactive power source;

[0146] S702, displaying the partition status and operation status data of each node;

[0147] S703, analyzing the collected data to determine whether the operating state of the reactive power source needs to be adjusted;

[0148] S704: Send an adjustment instruction to the reactive power source according to the analysis result.

[0149] In an embodiment of the present invention, a real-time monitoring system is deployed in the distribution network to collect the operating data of each reactive source. These data include key parameters such as the current output power and available capacity of the reactive source. Partition and operating status display: Display the partition status and operating status data of each node. This can be achieved through a graphical interface or in the form of a report so that the operator can intuitively understand the status of each node. Data analysis and adjustment decision: Analyze the collected data to determine whether it is necessary to adjust the operating status of the reactive source. Various factors will be considered during the analysis process, such as changes in grid load, equipment failure risks, etc. Send adjustment instructions: Send adjustment instructions to the reactive source based on the analysis results. These instructions may include increasing or decreasing output power, switching control modes, etc. to ensure the stability and reliability of the power grid.

[0150] According to a second aspect of an embodiment of the present invention, a distribution network normalized operation analysis system based on reactive power regulation capability zoning is provided.

[0151] Figure 8 It is a structural diagram of a distribution network normalized operation analysis system based on reactive power regulation capability zoning according to an embodiment of the present invention.

[0152] In one or more embodiments, preferably, the distribution network normalization operation analysis system based on reactive power regulation capability partitioning includes:

[0153] The reactive power regulation capability evaluation module 801 is used to evaluate the reactive power regulation capability of the observed power grid;

[0154] The reactive power demand prediction module 802 is used to predict the most recent reactive power demand according to weather changes;

[0155] The reactive power regulation area division module 803 is used to perform online regulation on preset partitions to form reactive power partitions of the distribution network;

[0156] The operation status analysis module 804 is used to independently evaluate the operation status of reactive power sources in each partition to form operation status data;

[0157] An optimization scheduling strategy formulation module 805 is used to optimize reactive power control strategy based on operation status data;

[0158] The real-time monitoring and adjustment module 806 is used to start the deployed monitoring system and display the partition, operation status data and reactive power control strategy of each node.

[0159] In the embodiment of the present invention, a system suitable for different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0160] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0161] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided. Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Fig. 9 The electronic device shown is a general distribution network normalization operation analysis device based on reactive power regulation capability partitioning, which includes a general computer hardware structure, which at least includes a processor 901 and a memory 902. The processor 901 and the memory 902 are connected via a bus 903. The memory 902 is suitable for storing instructions or programs executable by the processor 901. The processor 901 can be an independent microprocessor or a collection of one or more microprocessors. Thus, the processor 901 executes the instructions stored in the memory 902 to execute the method flow of the embodiment of the present invention as described above to realize the processing of data and the control of other devices. The bus 903 connects the above-mentioned multiple components together, and at the same time connects the above-mentioned components to the display controller 904 and the display device and the input / output (I / O) device 905. The input / output (I / O) device 905 can be a mouse, a keyboard, a modem, a network interface, a touch input device, a somatosensory input device, a printer, and other devices known in the art. Typically, the input / output device 905 is connected to the system via an input / output (I / O) controller 906.

[0162] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0163] In the solution of the present invention, by optimizing the dispatching strategy of reactive power sources, the network loss of the system and the operating cost of the voltage regulating equipment can be reduced, thereby improving the economic benefits of the distribution network.

[0164] In the solution of the present invention, reasonable reactive power regulation capacity zoning and optimized dispatching strategy can improve the power supply reliability of the distribution network and reduce power outage accidents caused by voltage fluctuation or instability.

[0165] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, 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 disk storage and optical storage, etc.) containing computer-usable program code.

[0166] 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 flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, 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 flowchart and / or block diagram. 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.

[0167] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate 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 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0168] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0169] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A distribution network normalization operation analysis method based on reactive power regulation capability zoning, characterized in that: The method includes: Evaluate the reactive power regulation capability of the observed power grid; Predict the nearest reactive power demand based on weather changes; Online adjustment of preset partitions to form reactive power partitions of distribution network; Conduct independent reactive power source operation status assessment for each partition to form operation status data; Optimize reactive power control strategy based on operating status data; Start the deployed monitoring system and display the partition, operation status data and reactive power control strategy of each node.

2. The method for analyzing the normalized operation of a distribution network based on reactive power regulation capability partitioning according to claim 1, characterized in that: The reactive power regulation capability evaluation of the observed power grid specifically includes: Collecting operating parameters of all reactive power sources in the observed distribution network, the operating parameters including rated capacity, current output power and response time; According to the operating parameters, a reactive power regulation capability model of the reactive power source is established; Calculating the available capacity of reactive power sources in a preset partition using a first calculation formula; The first calculation formula is: Qa=f(Pr,Pc,T) Among them, Qa is the available capacity of the reactive source, Pr is the rated capacity of the reactive source, Pc is the current output power, f is the conversion function generated according to the reactive regulation capability model, the calculation process of f is mainly based on the preset coefficient group and table, and T is the time.

3. The method for analyzing the normalized operation of a distribution network based on reactive power regulation capability partitioning according to claim 1, characterized in that: The most recent reactive power demand prediction according to weather changes specifically includes: Analyze historical load data and weather data to form historical data change curves and weather change curves; Utilize reactive power demands in all historical data to obtain optimal k1 and k2 that satisfy the second calculation formula; Based on the historical data change curve and the weather change curve, the weather and historical data at the future moment are formed and used as input data to map with the reactive power demand. The mapping function is the third calculation formula. The second calculation formula is: {K1, K2}=argmin(k1×Lt+k2×Wt-QCt) Wherein, {K1, K2} is the optimal k1 and k2, QCt is the real reactive power demand at the tth moment in the historical data, k1 is the first demand index, k2 is the second demand index, Lt is the load data in the history, W is the preset index converted into reactive power demand according to the weather forecast temperature, argmin() is the function of k1 and k2 that minimizes the sum of k1×Lt+k2×Wt-QCt at all moments in the historical data; The third calculation formula is: Qd(t)=K1×Lt+K2×Wt Among them, Qd(t) is the result obtained according to reactive power demand mapping.

4. The method for analyzing the normalized operation of a distribution network based on reactive power regulation capability partitioning according to claim 1, characterized in that: The online adjustment of the preset partitions to form reactive power partitions of the distribution network specifically includes: Divide each node into a sub-region, calculate the modularity function at this time using the fourth calculation formula and record it; For node i, select any node j connected to it to form a new partition, calculate the modularity function, calculate all nodes connected to node i respectively, select the one with the largest modularity function value as the new partition and keep it until all N nodes in the distribution network system are traversed; When no new partitions can be generated in the loop or the calculated value of the modularity function reaches the maximum, the partitioning is stopped; The fourth calculation formula is: Among them, QvQ is the modularity function, m Q is the sum of all reactive power-voltage sensitivity weights or active power network loss-voltage sensitivity weights, k i , k j They represent the sum of reactive power-voltage sensitivity weights and active power network loss-voltage sensitivity weights of all nodes connected to node i and node j respectively. The specific calculation formula is: Among them, δ(i,j) is used to determine whether node i and node j are in the same partition. If node i and node j are in the same partition, δ(i,j)=1, otherwise δ(i,j)=0. The reactive power to voltage sensitivity is obtained according to the sensitivity calculation formula. The reactive power-voltage sensitivity weight corresponding to wij is the reactive power to voltage sensitivity multiplied by the sum of the reactive power flowing from node i to node j. The active power to voltage sensitivity is obtained according to the sensitivity calculation formula. The active power-voltage sensitivity weight corresponding to wij is the active power to voltage sensitivity multiplied by the electrical distance between node i and node j.

5. The method for analyzing the normalized operation of a distribution network based on reactive power regulation capability partitioning according to claim 1, characterized in that: The independent reactive power source operation status evaluation for each partition to form operation status data specifically includes: Real-time collection of operating status data of reactive power sources in each reactive power regulation area; Analyze the collected data using the fifth calculation formula to evaluate the operating status of the reactive power source; The fifth calculation formula is: S=L(Qoutput,Qavailable) Among them, S is the operating status of the reactive source, Qoutput is the current output power, Qavailable is the available capacity, and L is a mapping relationship function. Different output powers and available capacities are mapped by a preset L. Therefore, L is used to determine whether the current S is 1 or 0. S=1 represents that the current state is reliable, and S=0 represents that the current state is unreliable.

6. The method for analyzing the normalized operation of a distribution network based on reactive power regulation capability partitioning according to claim 1, characterized in that: The reactive power control strategy optimized based on the operating status data specifically includes: Get the area where S is 0, set constraints, and dynamically adjust the reactive power control strategy according to the constraints; Get the area where S is 1, and use the network loss objective function to optimize the reactive power control strategy with the goal of minimizing network loss; The objective function can be expressed as: Minimize Ploss=j(Qsource,Qdemand,Cost) Wherein, Ploss is the network loss, Qsource is the output power of the reactive source, Qdemand is the reactive demand, Cost is the cost, and j is the network loss mapping function, which is used to map the cost network loss price corresponding to the reactive demand under different reactive source power outputs.

7. The method for analyzing the normalized operation of a distribution network based on reactive power regulation capability partitioning according to claim 1, characterized in that: The monitoring system deployed in the startup mode displays the partition, operation status data and reactive power control strategy of each node, including: Deploy a real-time monitoring system in the distribution network to collect operating data of each reactive power source; Display the partition status and operation status data of each node; Analyze the collected data to determine whether the operating status of the reactive power source needs to be adjusted; Based on the analysis results, adjustment instructions are sent to the reactive power source.

8. The distribution network normalization operation analysis system based on reactive power regulation capability zoning is characterized by: The system is used to implement the method according to any one of claims 1 to 7, and the system comprises: Reactive power regulation capability evaluation module, used to evaluate the reactive power regulation capability of the observed power grid; Reactive power demand forecasting module, used to forecast the nearest reactive power demand according to weather changes; Reactive power regulation area division module, used to perform online regulation on preset partitions to form reactive power partitions of distribution network; Operation status analysis module, used to independently evaluate the operation status of reactive power sources in each partition to form operation status data; Optimization dispatch strategy formulation module, used to optimize reactive power control strategy based on operation status data; The real-time monitoring and adjustment module is used to start the deployed monitoring system and display the partition, operating status data and reactive power control strategy of each node.

9. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 7 when executed by a processor.

10. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1-7.

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