Active power distribution network reliability determination method considering cooperative operation of distributed power supply and energy storage system

Abstract

The invention relates to an active power distribution network reliability determination method and device considering cooperative operation of a distributed power supply and an energy storage system, computer equipment, a storage medium and a computer program product. The method comprises the steps of obtaining fault processing mode information of the active power distribution network in response to a prediction request for reliability information of the active power distribution network; the active power distribution network comprises a distributed power supply and an energy storage system which operate cooperatively; according to the fault processing mode information of the active power distribution network, constructing a reliability information determination model for the active power distribution network; solving the reliability information determination model to obtain the reliability information of the active power distribution network; the reliability information is used for representing the reliability of the active power distribution network; and displaying the display data generated by the reliability information. By adopting the method, the reliability evaluation efficiency and accuracy of the active power distribution network can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method, apparatus, computer equipment, storage medium and computer program product for determining the reliability of an active distribution network taking into account the coordinated operation of distributed power sources and energy storage systems. Background Art

[0002] At present, the reliability assessment of active distribution networks usually requires a lot of topological searches and logical judgments, which makes programming difficult and computationally slow, and is not suitable for real-time assessment of large-scale active distribution networks. When using intelligent algorithms to assess the reliability of active distribution networks, if the model considers more complex situations, such as the introduction of cyber-physical systems, distributed power sources, and energy storage systems, the intelligent algorithm is prone to fall into local optimal solutions, resulting in a decrease in the quality of the calculation results and an inability to find the global optimal solution.

[0003] Therefore, there is a problem of inaccurate efficiency in reliability assessment of active distribution networks in traditional technologies. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device, computer equipment, computer-readable storage medium and computer program product for determining the reliability of an active distribution network that takes into account the coordinated operation of distributed power sources and energy storage systems, which can improve the efficiency of reliability assessment of the active distribution network in order to address the above-mentioned technical problems.

[0005] A method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems, the method comprising:

[0006] In response to a prediction request for reliability information of an active distribution network, obtaining fault handling information of the active distribution network; the active distribution network includes a distributed power source and an energy storage system operating in coordination;

[0007] According to the fault handling information of the active distribution network, a reliability information determination model for the active distribution network is constructed; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and takes the constraint set corresponding to the active distribution network at different fault handling stages as the constraint condition;

[0008] Solve the reliability information determination model to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network;

[0009] Display data generated by display reliability information.

[0010] In an exemplary embodiment, the fault handling stage includes a fault isolation stage and a power supply restoration stage; the fault handling method information includes the fault response method corresponding to the active distribution network in the fault isolation stage and the power supply restoration stage; according to the fault handling method information of the active distribution network, a reliability information determination model for the active distribution network is constructed, including:

[0011] Determine a constraint set for the fault isolation stage according to the fault response mode corresponding to the fault isolation stage, and determine a constraint set for the power supply restoration stage according to the fault response mode corresponding to the power supply restoration stage;

[0012] Generate constraint conditions according to the constraint set for the fault isolation phase and the constraint set for the power supply restoration phase;

[0013] Obtain pre-set goals for reliability information, and generate a reliability information determination model based on the goals and constraints.

[0014] In an exemplary embodiment, the target is represented as:

[0015]

[0016] Among them, N i is the number of users at load node i in the active distribution network; U i is the annual average fault outage time of load node i; LN is the set of all load nodes in the active distribution network; U i It is expressed as:

[0017]

[0018] Where: Υ is the set of all branches in the active distribution network; λ xy is the failure rate of branch xy; is the virtual power flow of load node i after fault isolation when branch xy fails; is the virtual power flow of load node i after power supply is restored when branch xy fails. When l = 1, it means that virtual power flows through load node i and load node i is powered on. When l = 0, it means that no virtual power flows through load node i and load node i is powered off. are the time required for remote control of the switch and the time required for fault repair, respectively; the superscript xy indicates that a fault occurs in branch xy; the superscript FI indicates that the active distribution network is in the fault isolation stage; the superscript SR indicates that the active distribution network is in the power supply recovery stage; the superscript i indicates that the switch is located at the head end of the branch; the superscript j indicates that the switch is located at the end of the branch; the subscript indicates the object for which the variable is targeted: the subscripts xy and ij indicate that the variable is targeted at branches xy and ij, and the subscript i indicates that the variable is targeted at power node i or load node i.

[0019] In an exemplary embodiment, the constraints in the constraint set corresponding to the fault isolation stage include:

[0020]

[0021] in, They represent the states of virtual power flow through the faulty branch xy, branch ij and load point i in the fault isolation stage FI when the branch xy fails; They represent the opening and closing states of the first and last switches i and j of branch ij respectively when a fault occurs in branch xy; They represent the open and closed states of the switches i and j at the beginning and end of branch ij when the system is operating normally. When s=1, the switch is in the closed state, and when s=0, the switch is in the open state. NO means that the system is normal and has no faults. If there is no switch installed at the end i of branch ij, They represent the installation status of the remote control switches at the end i and j of branch ij. When the end i of branch ij is installed with a remote control switch, on the contrary Ψ SS is the set of all power nodes in the active distribution network; DG is the set of all distributed power supply nodes in the distributed power supply; SS -Ψ DG It is a collection of remaining power supply nodes in the active distribution network except for each distributed power supply point.

[0022] In an exemplary embodiment, the constraint conditions in the constraint set corresponding to the power supply restoration stage include:

[0023]

[0024]

[0025] Where l represents the virtual power flow of the feeder segment and load node, s represents the switch opening and closing state; P i , Q i They represent the active and reactive loads of load node i during normal operation of the active distribution network; P i xy,SR , They respectively represent the active and reactive load conditions of load node i during the power supply restoration phase; They represent the active power and reactive power flowing from the first node i to the last node j of the feeder segment ij during the power supply restoration phase respectively; represents the voltage of load node i during the power supply recovery phase SR; rij 、x ij Respectively represent the resistance and reactance of feeder segment ij; V s Indicates the bus voltage at the outgoing end of the feeder section; The maximum power limit transmitted by the feeder segment; U i Respectively represent the upper and lower voltage limits of load node i; Ψ DG represents the set of distributed power generation nodes; M l represents the set of feeder segments of the lth power supply loop; L is the number of power supply loops; n l is the number of feeder segments of the lth power supply loop; and Represents the output upper limit of the distributed power generation node; Ψ ESS Represents the set composed of energy storage nodes; E i,0 represents the initial power of energy storage node i; S i,min represents the lower limit of the state of charge of energy storage node i; and Represents the upper limit of the discharge power of energy storage node i.

[0026] In an exemplary embodiment, solving a reliability information determination model to obtain reliability information of an active power distribution network includes:

[0027] Obtaining grid topology data and node data sets corresponding to the active distribution network; the node data sets include node data corresponding to each load node in the active distribution network, each distributed power source node in the distributed power source, and each energy storage node in the energy storage system;

[0028] The reliability information determination model is solved by an optimization solver based on the grid topology data and the node data set, and the reliability information for the active distribution network is output through the reliability information determination model.

[0029] An active distribution network reliability determination device considering the coordinated operation of distributed power sources and energy storage systems, the device comprising:

[0030] A response module, for responding to a prediction request for reliability information of an active distribution network, and obtaining fault handling information of the active distribution network; the active distribution network includes a distributed power source and an energy storage system operating in coordination;

[0031] A construction module is used to construct a reliability information determination model for the active distribution network according to the fault handling method information of the active distribution network; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and takes the constraint set corresponding to the active distribution network at different fault handling stages as a constraint condition;

[0032] A solution module is used to solve the reliability information determination model to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network;

[0033] The display module is used to display the display data generated by the reliability information.

[0034] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0035] A computer-readable storage medium stores a computer program, which implements the steps of the above method when executed by a processor.

[0036] A computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0037] The above-mentioned active distribution network reliability determination method, device, computer equipment, storage medium and computer program product considering the coordinated operation of distributed power sources and energy storage systems obtains fault handling method information of the active distribution network by responding to a prediction request for reliability information of the active distribution network; the active distribution network includes distributed power sources and energy storage systems that operate in a coordinated manner; according to the fault handling method information of the active distribution network, a reliability information determination model for the active distribution network is constructed; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and takes the constraint set corresponding to the active distribution network at different fault handling stages as a constraint condition; solves the reliability information determination model to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network; and displays the display data generated by the reliability information; in this way, the coordinated operation characteristics of distributed power sources and energy storage systems can be comprehensively considered, and their impact on the reliability of the active distribution network can be more comprehensively and accurately evaluated, thereby improving the accuracy and credibility of the evaluation results. At the same time, the calculation complexity of traditional analytical methods and simulation methods in fault consequence analysis is reduced, the process of topological search and logical judgment is reduced, and the calculation speed of reliability evaluation is improved, which is suitable for the real-time evaluation needs of large-scale distribution networks. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1An application environment diagram of an active distribution network reliability determination method considering the coordinated operation of distributed power sources and energy storage systems in one embodiment;

[0040] Figure 2 A flowchart of a method for determining reliability of an active distribution network considering coordinated operation of distributed power sources and energy storage systems in one embodiment;

[0041] Figure 3 A schematic diagram of a flow chart of steps for constructing a reliability information determination model in one embodiment;

[0042] Figure 4 A flowchart of a method for determining reliability of an active distribution network considering coordinated operation of distributed power sources and energy storage systems in one embodiment;

[0043] Figure 5 A flow chart of a method for determining reliability of an active distribution network considering coordinated operation of distributed power sources and energy storage systems in another embodiment;

[0044] Figure 6 It is a structural block diagram of an active distribution network reliability determination device considering the coordinated operation of distributed power sources and energy storage systems in one embodiment;

[0045] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0047] The active distribution network reliability determination method considering the coordinated operation of distributed power sources and energy storage systems provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 responds to the prediction request for the reliability information of the active distribution network and obtains the fault handling method information of the active distribution network; the active distribution network includes a distributed power supply and an energy storage system that operate in a coordinated manner; the server 104 constructs a reliability information determination model for the active distribution network according to the fault handling method information of the active distribution network; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and takes the constraint set corresponding to the active distribution network at different fault handling stages as the constraint condition; the server 104 solves the reliability information determination model to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network; the server 104 displays the display data generated by the reliability information. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices, and the Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. The portable wearable device may be a smart watch, a smart bracelet, a head-mounted device, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers.

[0048] In an exemplary embodiment, Figure 2 As shown in the figure, a method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems is provided. Figure 1 The server 104 in the example is used as an example to illustrate, including the following steps 202 to 208. Among them:

[0049] Step 202, in response to a prediction request for reliability information of an active distribution network, obtaining fault handling method information of the active distribution network; the active distribution network includes a distributed power source and an energy storage system operating in coordination.

[0050] Among them, the active distribution network can be a distribution network with distributed or decentralized energy inside and control and operation capabilities. The distributed power sources and energy storage systems in the active distribution network involved in this application operate in coordination.

[0051] The reliability information may be a numerical value or a label used to evaluate the reliability of the active power distribution network.

[0052] The prediction request may be a request corresponding to a request for predicting the reliability of the active power distribution network.

[0053] The fault handling method information may refer to the corresponding coping strategy of the active distribution network when a fault occurs.

[0054] Optionally, the server obtains a fault handling strategy for the active distribution network in response to a prediction request from a power grid worker for reliability information of the active distribution network.

[0055] Step 204, based on the fault handling method information of the active distribution network, a reliability information determination model for the active distribution network is constructed; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and uses the constraint set corresponding to the active distribution network at different fault handling stages as a constraint condition.

[0056] The reliability information determination model may refer to a model used to evaluate the reliability of the active power distribution network.

[0057] The load node may refer to a power consumption node in an active power distribution network.

[0058] The constraint set may refer to a set consisting of multiple constraint conditions.

[0059] Optionally, the server constructs a reliability information determination model for the active distribution network according to a fault handling strategy of the active distribution network.

[0060] Step 206, solving the reliability information determination model to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network.

[0061] Optionally, the server solves the reliability information determination model to obtain reliability information of the active power distribution network.

[0062] Step 208: Display data generated by displaying reliability information.

[0063] The display data may refer to visual content showing reliability information.

[0064] Optionally, the server displays presentation data generated by the reliability information.

[0065] In the above-mentioned active distribution network reliability determination method considering the coordinated operation of distributed power sources and energy storage systems, by responding to the prediction request for the reliability information of the active distribution network, the fault handling method information of the active distribution network is obtained; the active distribution network includes the distributed power sources and energy storage systems that operate in a coordinated manner; according to the fault handling method information of the active distribution network, a reliability information determination model for the active distribution network is constructed; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and takes the constraint set corresponding to the active distribution network at different fault handling stages as the constraint condition; the reliability information determination model is solved to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network; and the display data generated by the reliability information is displayed; in this way, the coordinated operation characteristics of the distributed power sources and the energy storage system can be comprehensively considered, and their impact on the reliability of the active distribution network can be more comprehensively and accurately evaluated, thereby improving the accuracy and credibility of the evaluation results. At the same time, the calculation complexity of the traditional analytical method and simulation method in the fault consequence analysis is reduced, the topological search and logical judgment process is reduced, and the calculation speed of the reliability evaluation is improved, which is suitable for the real-time evaluation needs of large-scale distribution networks.

[0066] In an exemplary embodiment, the fault handling stage includes a fault isolation stage and a power supply recovery stage, and the fault handling method information includes the fault response methods corresponding to the active distribution network in the fault isolation stage and the power supply recovery stage, such as Figure 3 As shown, step 204 includes steps 302 to 306. Among them:

[0067] Step 302, determining a constraint set for the fault isolation stage according to a fault response mode corresponding to the fault isolation stage, and determining a constraint set for the power supply restoration stage according to a fault response mode corresponding to the power supply restoration stage.

[0068] Among them, the fault isolation stage is to isolate the fault area by disconnecting the remote control switch.

[0069] Among them, the power supply restoration stage is to restore power supply to the power outage area by controlling the on and off of the remote control switch and coordinating the dispatch of distributed power sources and energy storage systems.

[0070] The fault response mode may refer to a response strategy corresponding to the active distribution network when a fault occurs.

[0071] Optionally, the server determines a constraint set for the fault isolation stage according to a fault response strategy corresponding to the fault isolation stage, and the server determines a constraint set for the power supply restoration stage according to a fault response strategy corresponding to the power supply restoration stage.

[0072] Step 304: Generate constraint conditions according to the constraint set for the fault isolation phase and the constraint set for the power restoration phase.

[0073] Optionally, the server generates constraint conditions corresponding to the two stages respectively according to the constraint set for the fault isolation stage and the constraint set for the power supply restoration stage.

[0074] Step 306: Obtain a preset target for reliability information, and generate a reliability information determination model based on the target and constraint conditions.

[0075] Optionally, the server obtains the target pre-set by the power grid staff for reliability information, and generates a reliability information determination model based on the target and constraint conditions.

[0076] In this embodiment, a constraint set for the fault isolation stage is determined according to the fault response mode corresponding to the fault isolation stage, and a constraint set for the power supply restoration stage is determined according to the fault response mode corresponding to the power supply restoration stage; constraint conditions are generated according to the constraint set for the fault isolation stage and the constraint set for the power supply restoration stage; a pre-set target for reliability information is obtained, and a reliability information determination model is generated based on the target and the constraint conditions; in this way, the constraint conditions can be determined more accurately according to the fault response modes of the active distribution network at different stages involved in the actual fault handling process, thereby constructing a more accurate reliability information determination model.

[0077] In an exemplary embodiment, the target is represented as:

[0078]

[0079] Among them, N i is the number of users at load node i in the active distribution network; U i is the annual average fault outage time of load node i; LN is the set of all load nodes in the active distribution network; U i It is expressed as:

[0080]

[0081] Where: Υ is the set of all branches in the active distribution network; λ xy is the failure rate of branch xy; is the virtual power flow of load node i after fault isolation when branch xy fails; is the virtual power flow of load node i after power supply is restored when branch xy fails. When l = 1, it means that virtual power flows through load node i and load node i is powered on. When l = 0, it means that no virtual power flows through load node i and load node i is powered off. are the time required for remote control of the switch and the time required for fault repair, respectively; the superscript xy indicates that a fault occurs in branch xy; the superscript FI indicates that the active distribution network is in the fault isolation stage; the superscript SR indicates that the active distribution network is in the power supply recovery stage; the superscript i indicates that the switch is located at the head end of the branch; the superscript j indicates that the switch is located at the end of the branch; the subscript indicates the object for which the variable is targeted: the subscripts xy and ij indicate that the variable is targeted at branches xy and ij, and the subscript i indicates that the variable is targeted at power node i or load node i.

[0082] In an exemplary embodiment, the constraints in the constraint set corresponding to the fault isolation stage include:

[0083] in, They represent the states of virtual power flow through the faulty branch xy, branch ij and load point i in the fault isolation stage FI when the branch xy fails; They represent the opening and closing states of the first and last switches i and j of branch ij respectively when a fault occurs in branch xy; They represent the open and closed states of the switches i and j at the beginning and end of branch ij when the system is operating normally. When s=1, the switch is in the closed state, and when s=0, the switch is in the open state. NO means that the system is normal and has no faults. If there is no switch installed at the end i of branch ij, They represent the installation status of the remote control switches at the end i and j of branch ij. When the end i of branch ij is installed with a remote control switch, on the contrary Ψ SS is the set of all power nodes in the active distribution network; DG is the set of all distributed power supply nodes in the distributed power supply; SS -Ψ DG It is a collection of remaining power supply nodes in the active distribution network except for each distributed power supply point.

[0084] It should be noted that for the reliability assessment of active distribution networks, the switch state variables and component installation variables The values ​​of are known and determined. The following is an explanation of the specific meaning of each constraint in constraints (1)-(11): Constraint (1): When a fault occurs in branch xy, there must be no flow through branch xy; Constraint (2): As the source of virtual flow at all load points, the power source can still generate virtual flow even in the case of branch faults and will not be affected; Constraints (3) and (4): For all non-faulty branches, when any switch at the beginning or end of the branch is disconnected, the branch shall not flow through the virtual flow; Constraints (5) and (6): When the switches at the beginning or end of branch ij are closed, the branch and the two connected branches are closed. The virtual power flow states of the load nodes must be consistent. This constraint applies to all branches. Constraints (7) and (8): When a fault occurs in branch xy, the virtual power flows at both ends of the faulty branch are cut off by the switch, that is, when the switch at one end of the faulty branch is closed, the virtual power flow of the load node at that end is 0. This constraint only applies to the faulty branch. Constraints (9) and (10): Only the variables at the location where the remote control switch is installed can be activated. Constraint (11): In the fault isolation stage, when the number of energized branches is equal to the number of energized load nodes, the distribution network is in a radial operation state.

[0085] In an exemplary embodiment, the constraint conditions in the constraint set corresponding to the power supply restoration stage include:

[0086]

[0087]

[0088] Where l represents the virtual power flow of the feeder segment and load node, s represents the switch opening and closing state; P i , Q i They represent the active and reactive loads of load node i during normal operation of the active distribution network; P i xy,SR , They respectively represent the active and reactive load conditions of load node i during the power supply restoration phase; They represent the active power and reactive power flowing from the first node i to the last node j of the feeder segment ij during the power supply restoration phase respectively; represents the voltage of load node i during the power supply recovery phase SR; r ij 、x ij Respectively represent the resistance and reactance of feeder segment ij; V s Indicates the bus voltage at the outgoing end of the feeder section; The maximum power limit transmitted by the feeder segment; U i Respectively represent the upper and lower voltage limits of load node i; Ψ DG represents the set of distributed power generation nodes; Ml represents the set of feeder segments of the lth power supply loop; L is the number of power supply loops; n l is the number of feeder segments of the lth power supply loop; and Represents the output upper limit of the distributed power generation node; Ψ ESS Represents the set composed of energy storage nodes; E i,0 represents the initial power of energy storage node i; S i,min represents the lower limit of the state of charge of energy storage node i; and Represents the upper limit of the discharge power of energy storage node i.

[0089] The above constraints (12)-(21) are included in constraints (1)-(11). The specific meanings of the constraints in the power supply restoration stage involved in constraints (22)-(41) are explained as follows: Constraint (22): Radial operation constraint of the distribution network based on the power supply loop; Constraint (23): Restriction in the first stage of fault handling. After the relay protection is activated, the load nodes that are normally powered still have normal power supply in the second stage and are not affected by the fault; Constraints (24) and (25): For a load node, if a virtual power flow flows through, the active and reactive loads of the load point are equal to the loads during normal operation of the system; if no virtual power flow flows through, the active and reactive loads of the load node are zero; Constraints (26) and (27): Restriction for a feeder segment. If no virtual power flow flows through, the feeder segment is The active and reactive power of the line segment is zero; constraints (28) and (29): limit the power flowing into the node to be equal to the sum of the load power of the node itself and the power flowing out of the node; constraints (30) and (31): linearized power flow calculation constraints for the feeder segment when the system fails; constraints (32)-(34): linearized branch capacity constraints based on the segmented relationship method; constraint (35): voltage constraints of the load node; constraint (36): indicates that distributed power sources can also serve as the source of virtual power flow; constraints (37) and (38): upper and lower limit constraints on the output of distributed power sources; constraints (39) and (40): upper limits on the active and reactive power of the energy storage discharge, assuming that the energy storage always provides power to the grid during the power supply recovery phase and is in a discharging state; constraint (41): the energy storage capacity should be greater than the lower limit of the energy storage charge state.

[0090] In the present application, the constraints corresponding to the fault isolation stage are set for the substation nodes, which are the remaining power supply nodes after removing the distributed power supply nodes from all power supply nodes in the active distribution network; the constraints corresponding to the power supply restoration stage are set for the load nodes in the active distribution network, the distributed power supply nodes in the distributed power supply, and the energy storage nodes in the energy storage system.

[0091] In an exemplary embodiment, solving a reliability information determination model to obtain reliability information of an active distribution network includes: obtaining grid topology data and a node data set corresponding to the active distribution network; the node data set includes node data corresponding to each load node in the active distribution network, each distributed power source node in the distributed power source, and each energy storage node in the energy storage system; using an optimization solver to solve the reliability information determination model based on the grid topology data and the node data set, and outputting reliability information for the active distribution network through the reliability information determination model.

[0092] The grid topology data may be topology data corresponding to the grid structure of the active power distribution network.

[0093] The node data corresponding to the load node may refer to the user power consumption data of the load node.

[0094] Optionally, the server obtains the grid topology data corresponding to the active distribution network and the node data corresponding to each load node in the active distribution network, each distributed power supply node in the distributed power supply, and each energy storage node in the energy storage system. The server then uses an optimization solver to solve the reliability information determination model based on the grid topology data and the node data set, and outputs the reliability information for the active distribution network through the reliability information determination model.

[0095] In this embodiment, the grid topology data and node data set corresponding to the active distribution network are obtained; the node data set includes node data corresponding to each load node in the active distribution network, each distributed power supply node in the distributed power supply, and each energy storage node in the energy storage system; an optimization solver is used to solve the reliability information determination model based on the grid topology data and the node data set, and the reliability information for the active distribution network is output through the reliability information determination model; in this way, the reliability information of the active distribution network can be accurately obtained, which is conducive to the planning of the active distribution network.

[0096] In order to facilitate the understanding of those skilled in the art, Figure 4A flowchart of a method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems is provided by way of example, wherein: grid topology data, load data, distributed power source data and energy storage data of the active distribution network are input by power grid staff, wherein the grid topology data includes the connection relationship between nodes, the upper limit of branch capacity, the resistance / reactance of branches, the switch installation position, the initial state of switches, etc.; the load data includes the active load, reactive load, and upper and lower limits of node voltage of the load node; the distributed power source data includes the upper and lower limits of active output and reactive output of the distributed power source node, the upper and lower limits of node voltage, etc.; the energy storage data includes the upper and lower limits of charge state, and the upper and lower limits of charge and discharge power, etc.; the objective function of the reliability information determination model, the constraints for the fault isolation stage, and the constraints for the power supply restoration stage are added; the reliability information determination model is solved using an optimization solver, and the reliability assessment result is output.

[0097] The active distribution network reliability determination method considering the coordinated operation of distributed generation and energy storage system in the present application can introduce the coordinated operation characteristics of distributed generation (DG) and energy storage system (ESS) into the reliability assessment model, and can more comprehensively and accurately assess their impact on the reliability of the distribution network, thereby improving the accuracy and credibility of the assessment results; it can significantly reduce the computational complexity of traditional analytical methods and simulation methods in fault consequence analysis by optimizing calculation methods and algorithm design, reduce the topology search and logical judgment processes, and improve the calculation speed of the assessment, which is suitable for the real-time assessment needs of large-scale distribution networks; it can explicitly express reliability constraints, which is convenient for integration into the optimization model of distribution network planning and operation. This improvement enables the simultaneous consideration of reliability and economic requirements in the distribution network planning process, avoiding the difficulty in balancing reliability in traditional methods. The invention can improve intelligent algorithms and control strategies, solve the problem that intelligent algorithms are prone to fall into local optimal solutions when dealing with complex system situations, ensure the global optimality of evaluation results, and thus improve the practicality and reliability of models and methods; by comprehensively considering the dynamic characteristics and collaborative operation strategies of distributed power sources and energy storage systems, it can optimize the planning and operation of the system while ensuring the reliability of the distribution network, reduce the excessive redundant design caused by the post-verification method in traditional methods, improve the economy of the distribution network, and reduce the construction and operation costs; because the reliability information determination model of this application is optimized for the characteristics of modern distribution networks, especially for the widespread application of distributed power sources and energy storage systems in active distribution networks (ADN), it has strong adaptability and foresight, and meets the high standards of reliability evaluation of modern distribution networks.

[0098] In another embodiment, Figure 5 As shown in the figure, a method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems is provided. Figure 1 Taking the server 104 in the example as an example, the following steps are included:

[0099] Step S502, in response to a prediction request for reliability information of an active distribution network, obtaining fault handling method information of the active distribution network; the active distribution network includes a distributed power source and an energy storage system operating in coordination.

[0100] Step S504, constructing a reliability information determination model for the active distribution network based on the fault handling method information of the active distribution network; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and uses the constraint set corresponding to the active distribution network at different fault handling stages as a constraint condition.

[0101] Step S506, obtaining grid topology data and node data set corresponding to the active distribution network; the node data set includes node data corresponding to each load node in the active distribution network, each distributed power source node in the distributed power source, and each energy storage node in the energy storage system.

[0102] Step S508, using an optimization solver to solve the reliability information determination model based on the grid topology data and the node data set, and outputting reliability information for the active distribution network through the reliability information determination model; the reliability information is used to characterize the reliability of the active distribution network.

[0103] Step S510: display data generated by displaying reliability information.

[0104] It should be noted that the specific limitations of the above steps can refer to the specific limitations of the above method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems.

[0105] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0106] Based on the same inventive concept, the embodiment of the present application also provides a device for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems for implementing the above-mentioned method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the device for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems provided below can be referred to the limitations of the method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems above, and will not be repeated here.

[0107] In an exemplary embodiment, Figure 6 As shown, a device for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems is provided, including: a response module 602, a construction module 604, a solution module 606 and a display module 608, wherein:

[0108] A response module 602 is used to respond to a prediction request for reliability information of an active distribution network and obtain fault handling information of the active distribution network; the active distribution network includes a distributed power source and an energy storage system operating in a coordinated manner;

[0109] A construction module 604 is used to construct a reliability information determination model for the active distribution network according to the fault handling method information of the active distribution network; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and uses the constraint set corresponding to the active distribution network at different fault handling stages as a constraint condition;

[0110] A solution module 606 is used to solve the reliability information determination model to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network;

[0111] The display module 608 is used to display the display data generated by the reliability information.

[0112] In an exemplary embodiment, the fault handling stage includes a fault isolation stage and a power supply restoration stage; the fault handling mode information includes the fault response mode corresponding to the active distribution network in the fault isolation stage and the power supply restoration stage; the construction module 604 is specifically used to determine the constraint set for the fault isolation stage according to the fault response mode corresponding to the fault isolation stage, and determine the constraint set for the power supply restoration stage according to the fault response mode corresponding to the power supply restoration stage;

[0113] Generate constraint conditions according to the constraint set for the fault isolation phase and the constraint set for the power supply restoration phase;

[0114] Obtain pre-set goals for reliability information, and generate a reliability information determination model based on the goals and constraints.

[0115] In an exemplary embodiment, the target is represented as:

[0116]

[0117] Among them, N i is the number of users at load node i in the active distribution network; U i is the annual average fault outage time of load node i; LN is the set of all load nodes in the active distribution network; U i It is expressed as:

[0118]

[0119] Where: Υ is the set of all branches in the active distribution network; λ xy is the failure rate of branch xy; is the virtual power flow of load node i after fault isolation when branch xy fails; is the virtual power flow of load node i after power supply is restored when branch xy fails. When l = 1, it means that virtual power flows through load node i and load node i is powered on. When l = 0, it means that no virtual power flows through load node i and load node i is powered off. are the time required for remote control of the switch and the time required for fault repair, respectively; the superscript xy indicates that a fault occurs in branch xy; the superscript FI indicates that the active distribution network is in the fault isolation stage; the superscript SR indicates that the active distribution network is in the power supply recovery stage; the superscript i indicates that the switch is located at the head end of the branch; the superscript j indicates that the switch is located at the end of the branch; the subscript indicates the object for which the variable is targeted: the subscripts xy and ij indicate that the variable is targeted at branches xy and ij, and the subscript i indicates that the variable is targeted at power node i or load node i.

[0120] In an exemplary embodiment, the constraints in the constraint set corresponding to the fault isolation stage include:

[0121]

[0122] in, They represent the states of virtual power flow through the faulty branch xy, branch ij and load point i in the fault isolation stage FI when the branch xy fails; They represent the opening and closing states of the first and last switches i and j of branch ij respectively when a fault occurs in branch xy; They represent the open and closed states of the switches i and j at the beginning and end of branch ij when the system is operating normally. When s=1, the switch is in the closed state, and when s=0, the switch is in the open state. NO means that the system is normal and has no faults. If there is no switch installed at the end i of branch ij, They represent the installation status of the remote control switches at the end i and j of branch ij. When the end i of branch ij is installed with a remote control switch, on the contrary Ψ SS is the set of all power nodes in the active distribution network; DG is the set of all distributed power supply nodes in the distributed power supply; SS -Ψ DG It is a collection of remaining power supply nodes in the active distribution network except for each distributed power supply point.

[0123] In an exemplary embodiment, the constraint conditions in the constraint set corresponding to the power supply restoration stage include:

[0124]

[0125]

[0126] Where l represents the virtual power flow of the feeder segment and load node, s represents the switch opening and closing state; P i , Q i They represent the active and reactive loads of load node i during normal operation of the active distribution network; P i xy,SR , They respectively represent the active and reactive load conditions of load node i during the power supply restoration phase; They represent the active power and reactive power flowing from the first node i to the last node j of the feeder segment ij during the power supply restoration phase respectively; represents the voltage of load node i during the power supply recovery phase SR; r ij 、x ij Respectively represent the resistance and reactance of feeder segment ij; V s Indicates the bus voltage at the outgoing end of the feeder section; The maximum power limit transmitted by the feeder segment; U i Respectively represent the upper and lower voltage limits of load node i; Ψ DG represents the set of distributed power generation nodes; M l represents the set of feeder segments of the lth power supply loop; L is the number of power supply loops; n l is the number of feeder segments of the lth power supply loop; and Represents the output upper limit of the distributed power generation node; Ψ ESS Represents the set composed of energy storage nodes; E i,0 represents the initial power of energy storage node i; S i,min represents the lower limit of the state of charge of energy storage node i; and Represents the upper limit of the discharge power of energy storage node i.

[0127] In an exemplary embodiment, the solution module 606 is specifically used to obtain grid topology data and node data sets corresponding to the active distribution network; the node data sets include node data corresponding to each load node in the active distribution network, each distributed power supply node in the distributed power supply, and each energy storage node in the energy storage system; an optimization solver is used to solve the reliability information determination model based on the grid topology data and the node data set, and the reliability information for the active distribution network is output through the reliability information determination model.

[0128] Each module in the above-mentioned active distribution network reliability determination device considering the coordinated operation of distributed power sources and energy storage systems can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0129] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store active distribution network reliability determination data considering the coordinated operation of distributed power sources and energy storage systems. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems is implemented.

[0130] Those skilled in the art will understand that Figure 7The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0131] In one embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the above-mentioned method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems. Here, the steps of the method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems can be the steps of the method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems in each of the above-mentioned embodiments.

[0132] In one embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the processor executes the steps of the above-mentioned method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems. Here, the steps of the method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems can be the steps of the method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems in each of the above-mentioned embodiments.

[0133] In one embodiment, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the processor executes the steps of the above-mentioned method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems. Here, the steps of the method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems can be the steps of the method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems in each of the above-mentioned embodiments.

[0134] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0135] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0136] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the present application. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining the reliability of an active distribution network considering the coordinated operation of distributed power sources and energy storage systems, characterized in that: The method comprises: In response to a prediction request for reliability information of an active distribution network, obtaining fault handling information of the active distribution network; the active distribution network includes a distributed power source and an energy storage system operating in coordination; According to the fault handling method information of the active distribution network, a reliability information determination model for the active distribution network is constructed; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and uses the constraint set corresponding to the active distribution network at different fault handling stages as a constraint condition; Solving the reliability information determination model to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network; Display data generated by displaying the reliability information.

2. The method according to claim 1, characterized in that The fault handling stage includes a fault isolation stage and a power supply restoration stage; the fault handling mode information includes the fault response mode of the active distribution network corresponding to the fault isolation stage and the power supply restoration stage; The step of constructing a reliability information determination model for the active distribution network according to the fault handling method information of the active distribution network includes: Determine a constraint set for the fault isolation stage according to the fault response mode corresponding to the fault isolation stage, and determine a constraint set for the power supply restoration stage according to the fault response mode corresponding to the power supply restoration stage; generating the constraint conditions according to the constraint set for the fault isolation phase and the constraint set for the power supply restoration phase; A target preset for the reliability information is obtained, and based on the target and the constraint condition, a reliability information determination model is generated.

3. The method according to claim 2, characterized in that The goal is expressed as: Among them, N i is the number of users at load node i in the active distribution network; U i is the annual average fault outage time of the load node i; LN is the set of all load nodes in the active distribution network; U i It is expressed as: Where: γ is the set of all branches in the active distribution network; λ xy is the failure rate of branch xy; is the virtual power flow of load node i after fault isolation when branch xy fails; is the virtual power flow of load node i after power supply is restored when branch xy fails. When l = 1, it means that virtual power flows through load node i and load node i is powered on. When l = 0, it means that no virtual power flows through load node i and load node i is powered off. are the time required for remote control of the switch and the time required for fault repair, respectively; the superscript xy indicates that a fault occurs in branch xy; the superscript FI indicates that the active distribution network is in the fault isolation stage; the superscript SR indicates that the active distribution network is in the power supply recovery stage; the superscript i indicates that the switch is located at the head end of the branch; the superscript j indicates that the switch is located at the end of the branch; the subscript indicates the object for which the variable is targeted: the subscripts xy and ij indicate that the variable is targeted at branches xy and ij, and the subscript i indicates that the variable is targeted at power node i or load node i.

4. The method according to claim 3, characterized in that The constraints in the constraint set corresponding to the fault isolation stage include: in, They represent the states of virtual power flow through the faulty branch xy, branch ij and load point i in the fault isolation stage FI when the branch xy fails; They represent the opening and closing states of the first and last switches i and j of branch ij respectively when a fault occurs in branch xy; They represent the open and closed states of the switches i and j at the beginning and end of branch ij when the system is operating normally. When s=1, the switch is in the closed state, and when s=0, the switch is in the open state. NO means that the system is normal and has no faults. If there is no switch installed at the end i of branch ij, They represent the installation status of the remote control switches at the end i and j of branch ij. When the end i of branch ij is installed with a remote control switch, on the contrary Ψ SS is the set of all power supply nodes in the active power distribution network; DG is the set of all distributed power supply nodes in the distributed power supply; SS -Ψ DG It is a set consisting of the remaining power supply nodes in the active power distribution network except the distributed power supply points.

5. The method according to claim 4, characterized in that The constraints in the constraint set corresponding to the power supply restoration stage include: Where l represents the virtual power flow of the feeder segment and load node, s represents the switch opening and closing state; P i , Q i They respectively represent the active and reactive load conditions of load node i when the active distribution network is in normal operation; P i xy,SR , Respectively represent the active and reactive load conditions of load node i during the power supply recovery phase; Respectively represent the active power and reactive power flowing from the first node i to the last node j of the feeder segment ij during the power supply recovery phase; represents the voltage of load node i during the power supply recovery phase SR; r ij 、x ij Respectively represent the resistance and reactance of feeder segment ij; V s Indicates the bus voltage at the outgoing end of the feeder section; The maximum power limit transmitted by the feeder segment; U i Respectively represent the upper and lower voltage limits of load node i; Ψ DG represents a set consisting of the distributed power supply nodes; M l represents the set of feeder segments of the lth power supply loop; L is the number of power supply loops; n l is the number of feeder segments of the lth power supply loop; and represents the output upper limit of the distributed power generation node; ESS Represents the set composed of energy storage nodes; E i,0 represents the initial power of energy storage node i; S i,min represents the lower limit of the state of charge of energy storage node i; and Represents the upper limit of the discharge power of energy storage node i.

6. The method according to claim 1, characterized in that The step of solving the reliability information determination model to obtain the reliability information of the active power distribution network includes: Acquire grid topology data and node data set corresponding to the active distribution network; the node data set includes node data corresponding to each load node in the active distribution network, each distributed power supply node in the distributed power supply, and each energy storage node in the energy storage system; The reliability information determination model is solved by using an optimization solver based on the grid topology data and the node data set, and the reliability information for the active distribution network is output through the reliability information determination model.

7. An active distribution network reliability determination device considering the coordinated operation of distributed power sources and energy storage systems, characterized in that: The device comprises: A response module, configured to obtain fault handling information of an active distribution network in response to a prediction request for reliability information of the active distribution network; the active distribution network includes a distributed power source and an energy storage system operating in a coordinated manner; A construction module is used to construct a reliability information determination model for the active distribution network according to the fault handling method information of the active distribution network; wherein the reliability information determination model aims to minimize the average power outage time corresponding to each load node in the active distribution network, and uses the constraint set corresponding to the active distribution network at different fault handling stages as a constraint condition; A solution module, used for solving the reliability information determination model to obtain the reliability information of the active distribution network; the reliability information is used to characterize the reliability of the active distribution network; A display module is used to display display data generated by displaying the reliability information.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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