Fault recovery method of power distribution network, electronic equipment and storage medium

Abstract

The invention discloses a fault recovery method of a power distribution network, electronic equipment and a storage medium. The method comprises the steps that in response to a received fault instruction of the power distribution network, operation state data of the power distribution network and power grid structure data of the power distribution network are acquired, and the power distribution network comprises at least one fault line; constructing a fault recovery model based on the operation state data, and constructing a fault recovery constraint condition of the fault recovery model based on the power grid structure data and the load information corresponding to the at least one fault line; solving the fault recovery model based on a fault recovery constraint condition by taking minimization of the total recovery cost and / or maximization of the recovery load capacity as a target to obtain a line recovery sequence of at least one fault line in the power distribution network; and performing fault recovery on at least one fault line in the power distribution network based on the line recovery sequence to obtain a fault recovery result. According to the invention, the technical problem of weak fault recovery capability of the power distribution network in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and in particular, to a fault recovery method, an electronic device, and a storage medium for a distribution network. Background Art

[0002] With the global climate change, extreme weather events occur frequently, and large-scale power outages in urban distribution networks are also becoming increasingly frequent. Large-scale power outages not only cause huge economic losses, but also seriously disrupt people's normal life and social production.

[0003] In related technologies, radial constraints and other methods are used for post-disaster fault recovery of distribution networks. However, due to problems such as a single power supply path in radial constraints, the power supply flexibility and efficiency from the power source to the load are limited, resulting in a weak fault recovery ability of the distribution network in related technologies.

[0004] In view of the above problems, no effective solution has been proposed yet. Summary of the Invention

[0005] Embodiments of the present invention provide a fault recovery method, an electronic device, and a storage medium for a distribution network, so as to at least solve the technical problem of the weak fault recovery ability of the distribution network in related technologies.

[0006] According to one aspect of the embodiments of the present invention, a fault recovery method for a distribution network is provided, including: in response to receiving a fault instruction of the distribution network, obtaining the operation state data of the distribution network and the grid structure data of the distribution network, where the distribution network includes at least one fault line; constructing a fault recovery model based on the operation state data, and constructing a fault recovery constraint condition of the fault recovery model based on the grid structure data and the load information corresponding to at least one fault line; taking minimizing the total recovery cost and / or maximizing the recovered load amount as the goal, solving the fault recovery model based on the fault recovery constraint condition to obtain the line recovery order of at least one fault line in the distribution network; and performing fault recovery on at least one fault line in the distribution network based on the line recovery order to obtain a fault recovery result.

[0007] Further, constructing a fault recovery constraint condition of the fault recovery model based on the grid structure data and the load information corresponding to at least one fault line includes: constructing the line recovery priority of at least one fault line based on the number of lines that can be repaired within a preset time period and the grid structure data; constructing the load recovery priority of at least one fault line based on the load information; determining the feasible topological path of the distribution network based on the grid structure data; determining the safe operation constraint of the distribution network based on the grid structure data; and constructing a fault recovery constraint condition based on any one or more of the line recovery priority, the load recovery priority, the feasible topological path, and the safe operation constraint.

[0008] Further, based on the number of lines to be repaired and the power grid structure data within a preset time period, construct the line restoration priority of at least one faulty line, including: determining the electrical distance between at least one faulty line and distributed power sources in the distribution network based on the power grid structure data; determining the line restoration priority based on the number of lines to be repaired and the electrical distance.

[0009] Further, construct the load restoration priority of at least one faulty line based on the load information, including: determining the load level of the load to be restored corresponding to at least one faulty line and the load quantity of the load to be restored based on the load information; determining the load weight corresponding to the load level; determining the load restoration priority based on the load weight and the load quantity.

[0010] Further, determine the feasible topological paths of the distribution network based on the power grid structure data, including: classifying the power supply paths of the distribution network based on the power grid structure data to obtain the power supply types of the power supply paths; performing a feasible path search on the power supply paths and at least one faulty line based on the power supply types to obtain the feasible topological paths.

[0011] Further, determine the safe operation constraints of the distribution network based on the power grid structure data, including: obtaining the charge constraint and voltage constraint of distributed power sources in the distribution network; determining the topological structure constraint of the distribution network based on the power grid structure data; determining the safe operation constraints based on any one or more of the charge constraint, voltage constraint, and topological structure constraint.

[0012] Further, determine the topological structure constraint of the distribution network based on the power grid structure data, including: determining the topological structure of the distribution network based on the power grid structure data, where the topological structure is used to represent the connection relationship between different lines in the distribution network; determining the change state constraint of the topological structure; determining the topological structure constraint based on the topological structure and the change state constraint.

[0013] According to another aspect of the embodiments of the present invention, there is also provided a fault recovery device for a distribution network, including: an acquisition module, configured to acquire the operation state data of the distribution network and the power grid structure data of the distribution network in response to receiving a fault instruction of the distribution network, where the distribution network includes at least one faulty line; a construction module, configured to construct a fault recovery model based on the operation state data, and construct fault recovery constraint conditions of the fault recovery model based on the power grid structure data and the load information corresponding to at least one faulty line; a solution module, configured to solve the fault recovery model based on the fault recovery constraint conditions with the goal of minimizing the total recovery cost and / or maximizing the restored load quantity, to obtain the line restoration order of at least one faulty line in the distribution network; a recovery module, configured to perform fault recovery on at least one faulty line in the distribution network based on the line restoration order to obtain a fault recovery result.

[0014] According to another aspect of the embodiments of the present invention, an electronic device is further provided, including: a memory storing an executable program; a processor for running the program, wherein when the program runs, the methods in the various embodiments of the present invention are executed.

[0015] According to another aspect of the embodiments of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored executable program, wherein when the executable program runs, it controls the device where the computer-readable storage medium is located to execute the methods in the various embodiments of the present invention.

[0016] According to another aspect of the embodiments of the present invention, a computer program product is further provided, including a computer program which, when executed by a processor, implements the methods in the various embodiments of the present invention.

[0017] In the embodiments of the present invention, first, after receiving a fault instruction of a distribution network, the operation state data and grid structure data of the distribution network are acquired; then, a fault recovery model is constructed based on the operation state data, and a fault recovery constraint condition of the fault recovery model is constructed based on the grid structure data and the load information corresponding to the fault line; then, with the goal of minimizing the total recovery cost and / or maximizing the recovered load amount, the fault recovery model is solved based on the fault recovery constraint condition to obtain the line recovery order of the fault lines in the distribution network; finally, the fault lines are recovered based on the line recovery order to obtain a fault recovery result. It is easy to note that the distribution network includes at least one fault line. In this application, the operation state data and grid structure data of the distribution network are acquired, and a fault recovery model and a fault recovery constraint condition are constructed based on the above data. Then, the fault recovery model is solved based on the fault recovery constraint condition to obtain the line recovery order of the fault lines in the distribution network, enabling the distribution network to recover the fault lines in sequence according to the line recovery order, ensuring that key equipment can be quickly recovered. At the same time, with the goal of minimizing the total recovery cost and / or maximizing the recovered load amount, it is ensured that the lost power can be recovered to the greatest extent, achieving the purpose of improving the fault recovery efficiency and recovery degree of the distribution network, thereby realizing the technical effect of enhancing the fault recovery ability of the distribution network, and further solving the technical problem of the weak fault recovery ability of the distribution network in the related art. Description of the Drawings

[0018] The drawings described herein are used to provide a further understanding of the present invention, form a part of this application, and the schematic embodiments of the present invention and their descriptions are used to explain the present invention, and do not constitute an improper limitation to the present invention. In the drawings:

[0019] Figure 1 is a flowchart of a fault recovery method for a distribution network according to an embodiment of the present invention;

[0020] Figure 2It is a schematic diagram of a fault recovery device for a distribution network according to an embodiment of the present invention. Detailed implementation manners

[0021] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0022] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order different from those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0023] According to an embodiment of the present invention, an embodiment of a fault recovery method for a distribution network is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described here can be executed in an order different from that here.

[0024] Figure 1 It is a flowchart of a fault recovery method for a distribution network according to an embodiment of the present invention. As Figure 1 shown, the method includes the following steps:

[0025] Step S102, in response to receiving a fault instruction of the distribution network, obtain the operation state data of the distribution network and the grid structure data of the distribution network, where the distribution network includes at least one fault line.

[0026] The above-mentioned fault instruction may refer to a signal or command issued by the distribution network control system based on detected faults to initiate corresponding fault handling procedures. The types of fault instructions may include, but are not limited to, automatically generated signals such as overcurrent tripping signals, protection device operation signals, etc., and manually issued instructions such as fault handling commands of operators. The specific types of fault instructions need to be determined according to system design and actual requirements and are not limited here. The functions of fault instructions may include, but are not limited to, quickly identifying faults and initiating fault handling processes to reduce power outage time and prevent fault spread, etc.

[0027] The above-mentioned operating state data may refer to the real-time data of the distribution network during the occurrence of faults. The operating state data may include, but are not limited to, power source information data, line state data, load state data, and network state data, etc. Among them, the power source information data may include, but are not limited to, the current available output, type, location, etc. of each distributed power source (such as photovoltaic, wind energy, energy storage device), the line state data may include, but are not limited to, the damaged state of the line, fault type, fault point location, and parameters such as the resistance and reactance of the line, the load state data may include, but are not limited to, the real-time demand, load type, load importance level, load restoration priority, load quantity, and whether power is lost at each load node, and the network state data may include, but are not limited to, network topology, connection conditions between nodes, switch states of lines, etc. The specific operating state data need to be determined according to subsequent model requirements and are not limited here. The functions of the operating state data may include, but are not limited to, fault diagnosis, determining the nature and location of faults, etc.

[0028] The above-mentioned power grid structure data may refer to the physical layout and topological structure of the distribution network. The types of power grid structure data may include, but are not limited to, components such as lines, transformers, switches, protection devices, etc. and their connection methods. The power grid structure data can be used to determine the scope of fault impact and possible fault paths, and to provide necessary network configuration information for fault recovery.

[0029] The above-mentioned faulty line may refer to a line that has an electrical fault during the operation of the distribution network.

[0030] The above-mentioned acquisition methods may include, but are not limited to, the following methods:

[0031] The first method: Collect real-time operation data and status information of equipment such as substations, lines, and loads through remote terminal units or intelligent electronic devices;

[0032] The second method: Measure power consumption through intelligent meters and obtain real-time data of loads;

[0033] The third method: Detect through drone or satellite remote sensing to collect information on physical damage to the distribution network, such as line breaks, equipment collapses, etc., as well as changes in the grid structure.

[0034] The above acquisition methods are only examples. The specific acquisition method needs to be determined according to actual requirements and data types, and is not limited here.

[0035] In an optional embodiment, after receiving a fault instruction issued by the system, the operation status data and grid structure data of the distribution network are obtained through the remote terminal unit and the intelligent electronic device. The above operation status data reflects the current fault situation and the operation status of the grid, and the grid structure data reflects the topological structure of the distribution network. Obtaining the above data information helps the system quickly locate and isolate faults, and at the same time facilitates the subsequent formulation of fault repair strategies based on actual grid information.

[0036] Step S104, construct a fault recovery model based on the operation status data, and construct fault recovery constraints for the fault recovery model based on the grid structure data and the load information corresponding to at least one fault line.

[0037] The above-mentioned fault recovery model can refer to a set of calculation and decision-making frameworks established through a series of mathematical models and algorithms with the goal of quickly restoring power supply, optimizing resource allocation, reducing costs and network losses after a fault or extreme event occurs in the distribution network.

[0038] The above-mentioned load information can refer to information such as the load demand, type, priority of each load point in the distribution network and its connection with the grid. The types of load information can include but are not limited to static load information, dynamic load information, load priority, etc. The specific load information needs to be determined according to actual requirements and is not limited here. The functions of load information can include but are not limited to determining the restoration priority, optimizing the restoration strategy, etc.

[0039] The above-mentioned fault recovery constraints can refer to a series of limiting conditions set in the fault recovery model to ensure the feasibility and effectiveness of the recovery process. The types of fault recovery constraints can include but are not limited to voltage constraints, topological structure constraints, safe operation constraints, etc. The specific fault recovery constraints need to be determined according to actual requirements and are not limited here. The fault recovery constraints can be used to ensure that the recovery strategy is technically feasible, economically reasonable, and safe and reliable, so as to effectively guide the recovery work of the distribution network after a fault, etc.

[0040] In an alternative embodiment, a fault recovery model is constructed based on the operating status data, and at the same time, the fault recovery constraints of the fault recovery model are constructed based on the power grid structure data and load information to ensure that the constraints are satisfied when the model is solved, so that the model can avoid unrealistic or recovery schemes that may cause secondary faults, and ensure the safety, effectiveness and economy of the recovery process.

[0041] Step S106: With the goal of minimizing the total recovery cost and / or maximizing the recovered load, solve the fault recovery model based on the fault recovery constraints to obtain the line recovery order of at least one faulty line in the distribution network.

[0042] The above-mentioned total recovery cost may refer to the sum of all direct and indirect costs incurred for power supply restoration during the distribution network fault recovery process.

[0043] The above-mentioned recovered load may refer to the total load with successfully restored power supply during the fault recovery process. The recovered load reflects the direct performance of the fault recovery strategy in terms of power supply restoration effect.

[0044] The above-mentioned line recovery order may refer to the order of line repair determined according to a certain optimization strategy during the fault recovery process.

[0045] In an alternative embodiment, through the integer second-order cone programming algorithm, on the premise of satisfying the fault recovery constraints, solve the optimal solution of minimizing the total recovery cost or maximizing the load recovery amount, so as to obtain the specific line recovery order. Thus, significantly improve the recovery ability of the distribution network after extreme events and enhance the resilience and stability of the system.

[0046] In an alternative embodiment, with the goal of minimizing the total recovery cost, establish an objective function. The process formula for establishing the objective function is as follows:

[0047] F = min[f1 + f2 + f3 + f4];

[0048]

[0049]

[0050]

[0051]

[0052] In the formula, F represents the minimum value of the total load recovery cost of the post-disaster urban distribution network, where f1 represents the load shedding cost, f2 represents the cost of AC-DC line interconnected power supply, f3 represents the output cost of distributed power sources, and f4 represents the network loss cost of the urban distribution network; ζ LD represents the cost coefficient of the load in the system; ζSW1 Denote the cost coefficient of DC line power supply in the system, ζ SW2 Denote the cost coefficient of AC line power supply in the system; ζ DG Denote the cost coefficient of distributed power sources; ζ WS Denote the cost coefficient of system network losses; T n Denote the time interval for post-disaster load restoration and network reconstruction, T n Be divided into several time periods; t denotes a certain time period within T n i, j denote load nodes in the network, and I denotes the set of load nodes; Denote the load shedding amount of node i within time period t; γ i Denote the load weight coefficient of node i; L i,j Denote the line length with node i as the head end and node j as the tail end. h denotes the number of distributed power sources in the system, and H denotes the set of all distributed power sources, Denote the active power output by the electrical distance (abbreviated as DG) numbered h within time period t; G ij Denote the real part in the admittance matrix; U denotes the voltage amplitude; Denote the phase angle difference.

[0053] Step S108, perform fault recovery on at least one faulty line in the distribution network based on the line restoration sequence to obtain a fault recovery result.

[0054] The above-mentioned fault recovery result may refer to the comprehensive manifestation of the system state and performance indicators finally achieved after a series of operations such as repair, isolation, replacement, or network reconstruction of the faulty line by the power system after a fault occurs or a natural disaster strikes in the distribution network by executing the line restoration sequence obtained based on the fault recovery model.

[0055] In an optional embodiment, perform sequential recovery on the faulty line based on the line restoration sequence determined by the fault recovery model to obtain a fault recovery result. The above process performs fault recovery based on the optimized line restoration sequence, which can significantly improve the recovery ability of the distribution network in extreme environments, reduce the economic burden during the fault recovery process, and enhance the overall stability and service level of the power system.

[0056] In an embodiment of the present invention, after receiving a fault instruction of a distribution network, the operating state data and grid structure data of the distribution network are first obtained; then a fault recovery model is constructed based on the operating state data, and a fault recovery constraint condition of the fault recovery model is constructed based on the grid structure data and the load information corresponding to the fault line; then, with the goal of minimizing the total recovery cost and / or maximizing the recovered load amount, the fault recovery model is solved based on the fault recovery constraint condition to obtain the line recovery order of the fault lines in the distribution network; finally, the fault lines are recovered based on the line recovery order to obtain a fault recovery result. It is easy to note that the distribution network includes at least one fault line. In this application, the operating state data and grid structure data of the distribution network are obtained, and a fault recovery model and a fault recovery constraint condition are constructed based on the above data. Then, the fault recovery model is solved based on the fault recovery constraint condition to obtain the line recovery order of the fault lines in the distribution network, enabling the distribution network to recover the fault lines in sequence according to the line recovery order, ensuring that key equipment can be quickly recovered. At the same time, with the goal of minimizing the total recovery cost and / or maximizing the recovered load amount, it is ensured that the lost power charge can be recovered to the greatest extent, achieving the purpose of improving the fault recovery efficiency and recovery degree of the distribution network, thereby realizing the technical effect of enhancing the fault recovery ability of the distribution network, and further solving the technical problem of the weak fault recovery ability of the distribution network in the related art.

[0057] Optionally, constructing a fault recovery constraint condition of the fault recovery model based on the grid structure data and the load information corresponding to at least one fault line includes: constructing a line recovery priority of at least one fault line based on the number of repairable lines within a preset time period and the grid structure data; constructing a load recovery priority of at least one fault line based on the load information; determining a feasible topological path of the distribution network based on the grid structure data; determining the safe operation constraints of the distribution network based on the grid structure data; constructing a fault recovery constraint condition based on any one or more of the line recovery priority, load recovery priority, feasible topological path, and safe operation constraints.

[0058] The above-mentioned preset time period may refer to the time window set during the fault recovery of the power system, and the preset time period is used to guide the planning and execution of the recovery operation to ensure that key recovery tasks are completed within a specific time.

[0059] The above-mentioned number of repairable lines may refer to the limit of the number of lines that the power system can repair within a preset time period. The number of repairable lines can be determined based on the personnel, equipment, and materials capable of performing repair operations, and there is no limitation here. The functions of clarifying the number of repairable lines may include, but are not limited to, reasonably arranging maintenance resources, ensuring the priority recovery of key lines under limited resource conditions, and improving the recovery efficiency and recovery quality.

[0060] The above line restoration priority may refer to, during fault restoration, ranking the lines according to factors such as the importance of the lines, the affected scope, the repair cost, and time, etc., determining which lines to repair first. The types of line restoration priority may include, but are not limited to, line restoration priority based on distance priority, line restoration priority based on importance priority, line restoration priority based on cost - benefit priority, etc. The specific line restoration priority needs to be determined according to actual requirements and is not limited here. The line restoration priority can be used to guide the reasonable allocation of maintenance resources, ensure that limited resources are used for the most important restoration tasks, and improve the overall efficiency and economy of fault restoration.

[0061] The above load restoration priority may refer to, during fault restoration, ranking the loads according to factors such as load type, importance, and urgency, etc., determining which loads' power supply to restore first. The load restoration priority may include, but is not limited to, critical charge priority, residential load priority, etc. The specific load restoration priority needs to be determined according to actual requirements and is not limited here. The load restoration priority can be used, when resources are limited, to prioritize the restoration of the loads that have the greatest impact on the social economy, reduce the losses caused by power outages, and improve the service quality and user satisfaction of the power system.

[0062] The above - mentioned feasible topological path may refer to the electrical path that can connect the power source and the load through network reconfiguration during fault restoration. The determination of the feasible topological path helps to achieve the effective connection between the power source and the load, optimize the power transmission path through network reconfiguration, and reduce network losses.

[0063] The above - mentioned safe operation constraints may refer to a series of technical specifications and safety standards set to ensure the safe and stable operation of the power grid during the fault restoration process. The safe operation constraints can be used to ensure that the restoration operation will not cause new safety problems, such as equipment overload, voltage abnormality, etc., and guarantee the reliability of the power system and the safety of users.

[0064] In an alternative embodiment, by separately constructing the line restoration priority, load restoration priority, feasible topological path, and safe operation constraints of the faulty line, and then jointly constructing the fault restoration constraint conditions based on the above - mentioned conditions, the fault restoration model can comprehensively consider factors such as technology, economy, and safety, formulate a feasible and effective restoration strategy, thereby being able to guide the orderly repair of the faulty line, ensure the priority restoration of the load, optimize the operation state of the power grid, and further reduce the restoration cost and network losses, and improve the restoration efficiency and resilience of the power system.

[0065] In an alternative embodiment, the process of establishing the line restoration priority of the faulty line is as follows:

[0066]

[0067]

[0068]

[0069] In the formula, represents the switch state of the line of the branch with node i as the start and node j as the end in the t - time period of fault recovery. When the value is 0, the faulty line is not repaired; when the value is 1, the faulty line is repaired; M is the maximum number of lines that can be repaired in one t - time period; ω represents the set of lines from the first node i to the last node j in the network; ij represents the repaired faulty line, and i′j′ represents the unrepaired faulty line. and respectively represent the distances from the start section of the faulty line that is not repaired in the t - time period and the start end of the faulty line that is repaired in this time period to the same DG that provided electrical energy before the fault.

[0070] The process of establishing the load restoration priority of faulty lines is as follows:

[0071]

[0072] The above formula means that the weighted value of the total restored load in the t - time period should always be greater than that in the next time period. represents the load restored at node i in the t - time period, and γ i represents the load coefficient of node i. represents the load restored at node i in the next time period of the t - time period.

[0073] The process of determining the feasible topological paths of the distribution network based on the power grid structure data is as follows:

[0074] First, based on the shortest electrical distance from the distributed power source to the power - lost load, all power supply path sets EG are divided into three types, namely: the power supply path is the set of AC lines EG1, the power supply path is the set of DC lines EG2, and the power supply path is the set of AC - DC hybrid lines EG3.

[0075] The distributed power source nodes and the power - lost load nodes are represented as follows:

[0076]

[0077] In the formula, the in … are respectively distributed power source nodes; the in … are respectively power - lost load nodes.

[0078]

[0079]

[0080]

[0081] Wherein, E G1 represents to the set of power supply paths for transmitting electric energy through AC lines, E G2 represents to the set of power supply paths for transmitting electric energy through DC lines, E G3 represents to the set of power supply paths for transmitting electric energy through AC / DC lines.

[0082] After the above-mentioned search for feasible paths from distributed power sources to power-loss load nodes based on different types of electric energy transmission lines, multiple feasible topological paths with the shortest electrical distances can be obtained.

[0083] Optionally, based on the number of lines to be repaired and the power grid structure data within a preset time period, a line restoration priority for at least one faulty line is constructed, including: determining the electrical distance between at least one faulty line and the distributed power sources in the distribution network based on the power grid structure data; determining the line restoration priority based on the number of lines to be repaired and the electrical distance.

[0084] The above-mentioned distributed power sources may refer to power sources that are close to load points and evenly distributed on a small scale in the distribution network. The distributed power sources may be renewable energy sources such as photovoltaic, wind energy, and small hydropower, or power generation equipment such as small gas turbines and fuel cells.

[0085] The above-mentioned electrical distance may refer to the weighted distance between a faulty line and a distributed power source in the distribution network based on the electric energy transmission characteristics. The types of electrical distance may include, but are not limited to, DC electrical distance, AC electrical distance, hybrid electrical distance, etc. The specific type of electrical distance needs to be determined according to the actual grid current type and is not limited here. The electrical distance can be used to determine the transmission efficiency and cost of electric energy from the distributed power source to the load point. The shorter the distance, the smaller the electric energy transmission loss and the lower the restoration cost.

[0086] In an alternative embodiment, the electrical distance between the faulty line and the distributed power source in the distribution network is calculated based on the grid structure data. The above steps convert the characteristics such as the resistance and reactance of the line into weighted distances, which intuitively reflect the efficiency and cost of power transmission. Subsequently, the electrical distance information is fused with the constraint of the number of lines to be repaired, and the optimal order of line restoration is determined through an optimization algorithm. In the above process, by utilizing the local power supply capacity of the distributed power source, the loss caused by long-distance power transmission is reduced, thereby reducing the total restoration cost. At the same time, by preferentially restoring the lines with a shorter electrical distance from the power source, the power supply to important loads can be restored faster, thus reducing the negative social and economic impacts.

[0087] Optionally, a load restoration priority for at least one faulty line is constructed based on the load information, including: determining the load level and the load quantity of the load to be restored corresponding to at least one faulty line based on the load information; determining the load weight corresponding to the load level; and determining the load restoration priority based on the load weight and the load quantity.

[0088] The above-mentioned load to be restored may refer to the power consumption demand with power supply interruption in the event of a fault or extreme environment in the distribution network. The load to be restored may include, but is not limited to, the power consumption of residences, commercial buildings, industries, and critical infrastructure.

[0089] The above-mentioned load level may refer to the level of classification of loads according to the importance, urgency, and sensitivity to power supply interruption of the loads. The load level may include, but is not limited to, the first-level load, i.e., the power load of critical infrastructure and emergency services; the second-level load, i.e., the power load of important commercial and public services; and the third-level load, i.e., the ordinary commercial and residential loads. The specific load level needs to be determined according to actual requirements and is not limited here. The load level can be used to ensure the priority restoration of those loads that are crucial to society and the economy, while balancing resource allocation and avoiding over-concentration on a few high-priority loads and neglecting the restoration of other loads.

[0090] The above-mentioned load weight may refer to the coefficient for quantitatively representing the load level, which is used to reflect the importance of different load levels in the restoration cost calculation. The higher the load weight, the higher the priority in the restoration process and the greater the proportion in the cost calculation.

[0091] In an alternative embodiment, the correspondence between the load level and the load weight is as follows: the load weight corresponding to the first-level load is 10, the load weight corresponding to the second-level load is 5, and the load weight corresponding to the third-level load is 1. The above correspondence is only an example, and the specific correspondence and load weight need to be determined according to actual situations.

[0092] In an alternative embodiment, by comprehensively analyzing the load level and load quantity of the load to be restored, the load weights of each load level are determined. Furthermore, based on the load weights, the power system can achieve precise planning for load restoration. The above method can not only improve the economy and efficiency of the restoration actions, but also enhance the resilience of the power grid in the face of disasters, ensure the continuity of critical services and the stability of residents' lives, and thus improve the overall service quality and social and economic benefits of the power system.

[0093] Optionally, determining the feasible topological paths of the distribution network based on the grid structure data includes: classifying the power supply paths of the distribution network based on the grid structure data to obtain the power supply types of the power supply paths; performing feasible path search on the power supply paths and at least one fault line based on the power supply types to obtain the feasible topological paths.

[0094] The above-mentioned power supply path can refer to the power transmission line from the power source to the load in the distribution network.

[0095] The above-mentioned power supply type can refer to classifying the power supply paths into different types according to different power transmission methods. The power supply types can include, but are not limited to, AC power supply paths, DC power supply paths, or AC-DC hybrid power supply paths, etc. The specific power supply type needs to be determined according to the power transmission method. The classification of power supply types helps the power system make more effective and economical choices during fault recovery. For example, in an AC-DC interconnected distribution network, the network loss of DC lines is usually less than that of AC lines. Therefore, preferentially using DC power supply paths can reduce the recovery cost.

[0096] The above-mentioned feasible path search can refer to finding the feasible power supply path from the power source to the load according to the grid structure data and the power supply type during the fault recovery process.

[0097] In an alternative embodiment, first, different power supply types of the power supply paths in the grid are obtained by classifying the power supply paths in the grid. Subsequently, combining the power supply type and the known fault line information, and using the feasible path search algorithm, the system finds the feasible topological paths from the power source to the load. During the above process, different modes such as AC power supply, DC power supply, and AC-DC hybrid power supply are identified through path classification, and the specific efficiency, loss, and applicable scenarios of different modes are determined, so that the system can dynamically adjust the power supply path and consider multiple power supply types, enabling the distribution network to respond more flexibly and efficiently to different system states, and enhancing the elasticity and reliability of the power grid.

[0098] Optionally, determining the safe operation constraints of the distribution network based on the grid structure data includes: obtaining the charge constraint and voltage constraint of the distributed power sources in the distribution network; determining the topological structure constraint of the distribution network based on the grid structure data; determining the safe operation constraints based on any one or more of the charge constraint, voltage constraint, and topological structure constraint.

[0099] The above charge constraint may refer to the upper and lower intervals of the state of charge set based on the safety of energy storage devices. The types of charge constraints may include, but are not limited to, maximum charge constraint, minimum charge constraint, etc. The specific state of charge needs to be determined according to actual requirements and is not limited here. The charge constraint can be used to ensure that the state of charge of energy storage devices such as battery energy storage systems and supercapacitors in the distribution network changes within a safe range.

[0100] The above voltage constraint may refer to that the voltages of all nodes in the distribution network must be maintained within a specified safe range to ensure the safe operation of electrical equipment and user appliances.

[0101] The above topological structure constraint may refer to the restriction on the operation mode of the distribution network based on grid structure data. The topological structure constraint may include, but is not limited to, radial operation constraint, network connectivity constraint, etc. The specific topological structure constraint needs to be determined according to grid structure data and is not limited here. The topological structure constraint can be used to ensure the connectivity and radial structure of the power grid and avoid problems such as overload and short circuit caused by the formation of a loop network.

[0102] The above safe operation constraint may refer to the comprehensive safety standard of the distribution network under different operation states formulated by combining various restrictive conditions such as charge constraint, voltage constraint, and topological structure constraint.

[0103] In an alternative embodiment, first, based on the state of charge and voltage level of distributed power sources, it is ensured that the energy nodes are neither overloaded nor in a low-efficiency state during power supply, effectively balancing the output and consumption of energy, preventing equipment damage and power supply quality degradation; subsequently, by analyzing grid structure data, corresponding topological structure constraints are set; finally, the charge constraint, voltage constraint, and topological structure constraint are comprehensively considered and a comprehensive safe operation constraint system is constructed. This system can guide the power grid to perform efficient scheduling under normal operation and extreme conditions, ensuring the stability and safety of the power system while meeting user needs.

[0104] In an alternative embodiment, the determination process of the safe operation constraint is as follows:

[0105] First, determine the charge constraint and voltage constraint of distributed power sources in the distribution network. For distributed power sources such as energy storage, not only the charging and discharging power constraints need to be ensured, but also the state of charge needs to be ensured within the upper and lower limits. The calculation formula is as follows:

[0106]

[0107]

[0108]

[0109]

[0110]

[0111]

[0112]

[0113]

[0114] In the formula, respectively represent the minimum and maximum active power outputs of the distributed power source at node i during time period t; respectively represent the active and reactive power outputs of the distributed power source at node i; represents the capacity of the distributed power source input at node i; represents the minimum operating power factor of the DG at node i. represents the active power of charge and discharge of the battery at node i during time period t, taking a positive value for charging and a negative value for discharging; represents the reactive power of charge and discharge of the battery at node i during time period t, taking a negative value for charging and a positive value for discharging; represents the apparent power of the battery at node i during time period t; represents the maximum reactive power of the battery at node i; represents the normal operating loss power of the battery at node i during time period t, taking a positive value for charging and a negative value for discharging; represents the loss rate of the connection of the battery at node i, and Δt represents the value of the battery power loss divided by the power of the battery leaving the grid; represents the state of the battery charge at node i at the initial moment of time period t; respectively represent the minimum and maximum values of the state of charge of the battery at node i.

[0115] Based on the power grid data structure, the topological structure constraint formula of the distribution network is as follows:

[0116]

[0117]

[0118]

[0119] In the formula, v ij and ν ji represent the parent-child relationship between nodes i and j. If node i is a child node of node j, then the value of v ij is 1, and the value of νji takes the value of 0, and conversely ν ij takes the value of 0, v ji takes the value of 1. If there is no connection between nodes i and j, then ν ij takes the value of 0, v ji takes the value of 0, μ ij takes the value of 0; τ b represents the set of all lines in the urban distribution network; τ a represents the set of all nodes adjacent to node i; τ c represents the set of other nodes except the root node; i1 represents the root node in the network; the second formula indicates that all nodes except the root node have only one parent node, and the third formula indicates that the root node has no parent node.

[0120] Determine the safe operation constraints based on any one or more of the charge constraint, voltage constraint, and topological structure constraint. The determination process of the safe operation constraints is as follows:

[0121] First, determine the voltage constraint formula of the distributed power source in the distribution network. Its calculation formula is as follows:

[0122]

[0123] In the formula, U i,min and U i,max respectively represent the minimum voltage and maximum voltage of node i, and U t,i represents the voltage of node i at time t.

[0124] Then, determine the current constraint of each branch in the distribution network. Its calculation formula is as follows:

[0125]

[0126] In the formula, I ij,max represents the maximum current from node i to node j of the line branch, and I t,ij represents the current from node i to node j of the line branch at time t.

[0127] Finally, determine the safe operation constraints based on the voltage constraint and current constraint.

[0128] Optionally, determine the topological structure constraint of the distribution network based on the grid structure data, including: determining the topological structure of the distribution network based on the grid structure data, where the topological structure is used to represent the connection relationship between different lines in the distribution network; determining the change state constraint of the topological structure; determining the topological structure constraint based on the topological structure and the change state constraint.

[0129] The above-mentioned change state constraints can refer to the limiting conditions for changes in the power grid topology during different time periods or different operating modes of the distribution network operation. The types of change state constraints can include, but are not limited to, the number of switch operations constraints, line switching constraints, island operation constraints, and network reconfiguration constraints, etc. The specific change state constraints need to be determined according to the actual situation of the power grid structure data, which is not limited here. The functions of the change state constraints can include, but are not limited to, providing guidance for the dynamic adjustment of the power grid, avoiding system instability and equipment damage caused by excessive adjustment, etc.

[0130] In an alternative embodiment, the topology of the distribution network is determined through the power grid structure data, and then the change state constraints are determined based on the topology. Finally, the topology structure constraints are determined based on the change state constraints and the topology. In the above process, the change state constraints play a bridging role in the determination of the topology of the distribution network. It connects the static power grid structure with the dynamic operation requirements, ensuring that each structural change is a choice based on safety, stability, and economic considerations. In addition, in extreme environments or fault recovery scenarios, the reasonable setting and compliance of the change state constraints can significantly improve the response speed and recovery ability of the power system, reduce social and economic losses, and protect the safety of users and equipment.

[0131] According to another aspect of the embodiments of the present invention, there is also provided a fault recovery device for a distribution network. This device can execute the fault recovery method of the distribution network in the above embodiments. The specific implementation method and preferred application scenarios are the same as those in the above embodiments and will not be elaborated here.

[0132] Figure 2 It is a schematic diagram of a fault recovery device for a distribution network according to an embodiment of the present invention. As shown in the figure, the device includes: an acquisition module 202, a construction module 204, a solution module 206, and a recovery module 208.

[0133] The acquisition module 202 is configured to obtain the operation state data of the distribution network and the power grid structure data of the distribution network in response to receiving a fault instruction of the distribution network, where the distribution network includes at least one fault line; the construction module 204 is configured to construct a fault recovery model based on the operation state data, and construct fault recovery constraint conditions of the fault recovery model based on the power grid structure data and the load information corresponding to at least one fault line; the solution module 206 is configured to solve the fault recovery model based on the fault recovery constraint conditions with the goal of minimizing the total recovery cost and / or maximizing the recovery load amount, and obtain the line recovery order of at least one fault line in the distribution network; the recovery module 208 is configured to perform fault recovery on at least one fault line in the distribution network based on the line recovery order to obtain a fault recovery result.

[0134] Optionally, the construction module includes: a first construction unit configured to construct the line restoration priority of at least one faulty line based on the number of lines to be repaired and the power grid structure data within a preset time period; a second construction unit configured to construct the load restoration priority of at least one faulty line based on the load information; a first determination unit configured to determine the feasible topological path of the distribution network based on the power grid structure data; a second determination unit configured to determine the safe operation constraints of the distribution network based on the power grid structure data; a third construction unit configured to construct the fault recovery constraint conditions based on any one or more of the line restoration priority, the load restoration priority, the feasible topological path, and the safe operation constraints.

[0135] Optionally, the first construction unit includes: a first construction subunit configured to determine the electrical distance between at least one faulty line and the distributed power sources in the distribution network based on the power grid structure data; a second construction subunit configured to determine the line restoration priority based on the number of lines to be repaired and the electrical distance.

[0136] Optionally, the second construction unit includes: a first determination subunit configured to determine the load level of the load to be restored and the load quantity of the load to be restored corresponding to at least one faulty line based on the load information; a second determination subunit configured to determine the load weight corresponding to the load level; a third determination subunit configured to determine the load restoration priority based on the load weight and the load quantity.

[0137] Optionally, the first determination unit includes: a classification subunit configured to classify the power supply paths of the distribution network based on the power grid structure data to obtain the power supply types of the power supply paths; a search subunit configured to perform a feasible path search on the power supply paths and at least one faulty line based on the power supply types to obtain the feasible topological path.

[0138] Optionally, the second determination unit includes: an acquisition subunit configured to acquire the charge constraint and voltage constraint of the distributed power sources in the distribution network; a fourth determination subunit configured to determine the topological structure constraint of the distribution network based on the power grid structure data; a fifth determination subunit configured to determine the safe operation constraints based on any one or more of the charge constraint, the voltage constraint, and the topological structure constraint.

[0139] Optionally, the fourth determination subunit includes: determining the topological structure of the distribution network based on the power grid structure data, where the topological structure is used to represent the connection relationship between different lines in the distribution network; determining the change state constraint of the topological structure; determining the topological structure constraint based on the topological structure and the change state constraint.

[0140] According to another aspect of the embodiments of the present invention, an electronic device is further provided, including: one or more processors; a storage device configured to store one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors execute the above-mentioned fault recovery method for the distribution network.

[0141] The storage device in the above steps can be a type of sequential logic circuit, which is a memory component used to store data, instructions, etc., mainly for storing programs and data; the processor can be a functional unit that interprets and executes instructions, and it has a set of unique operation commands, which can be called the instruction set of the processor. Operations such as storage and loading are all operations; the storage device stores a computer program, which can be a set of instructions that a computer can recognize and execute, running on an electronic computer, and is an information-based tool that meets certain needs of people.

[0142] According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium. The computer-readable storage medium includes a stored program, wherein when the program runs, it controls the processor in the device where it is located to execute the above-mentioned fault recovery method for the distribution network.

[0143] The computer storage medium in the above steps can be a medium in a computer memory used to store a certain discontinuous physical quantity. The main computer storage media include semiconductors, magnetic cores, magnetic drums, magnetic tapes, laser discs, etc. The stored program included in the computer-readable storage medium can be a set of instructions that a computer can recognize and execute, running on an electronic computer, and is an information-based tool that meets certain needs of people.

[0144] According to another aspect of the embodiments of the present invention, there is also provided a computer program product, including a computer program, and the computer program executes the above-mentioned fault recovery method for the distribution network when executed by a processor.

[0145] In the above embodiments of the present invention, the descriptions of each embodiment have their own emphases. For parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0146] In the several embodiments provided by this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units can be a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed couplings or direct couplings or communication connections to each other can be through some interfaces, and the indirect couplings or communication connections of units or modules can be electrical or other forms.

[0147] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or they can be distributed to multiple units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0148] In addition, in each embodiment of the present invention, each functional unit may be integrated into a processing unit, may exist separately as individual physical units, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of a software functional unit.

[0149] If the above integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of this technical solution, may be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in each embodiment of the present invention. The foregoing storage medium includes: various media such as USB flash drives, read-only memories (ROMs), random access memories (RAMs), external hard drives, magnetic disks, or optical discs that can store program codes.

[0150] The above is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present invention.

Claims

1. A fault recovery method for a distribution network, characterized in that Including: In response to receiving a fault instruction of the distribution network, obtaining the operation state data of the distribution network and the grid structure data of the distribution network, where the distribution network includes at least one fault line; Constructing a fault recovery model based on the operation state data, and constructing fault recovery constraints of the fault recovery model based on the grid structure data and the load information corresponding to the at least one fault line; Taking minimizing the total recovery cost and / or maximizing the recovered load as the goal, solving the fault recovery model based on the fault recovery constraints to obtain the line recovery order of at least one fault line in the distribution network; Performing fault recovery on the at least one fault line in the distribution network based on the line recovery order to obtain a fault recovery result.

2. The fault recovery method of the distribution network according to claim 1, wherein, Constructing the fault recovery constraints of the fault recovery model based on the grid structure data and the load information corresponding to the at least one fault line, including: Constructing the line recovery priority of the at least one fault line based on the number of maintainable lines within a preset time period and the grid structure data; Constructing the load recovery priority of the at least one fault line based on the load information; Determining the feasible topological paths of the distribution network based on the grid structure data; Determining the safe operation constraints of the distribution network based on the grid structure data; Constructing the fault recovery constraints based on any one or more of the line recovery priority, the load recovery priority, the feasible topological paths, and the safe operation constraints.

3. The fault recovery method for a distribution network according to claim 2, wherein Constructing the line recovery priority of the at least one fault line based on the number of maintainable lines within a preset time period and the grid structure data, including: Determining the electrical distance between the at least one fault line and the distributed power sources in the distribution network based on the grid structure data; Determining the line recovery priority based on the number of maintainable lines and the electrical distance.

4. The fault recovery method of the distribution network according to claim 2, characterized in that, Constructing the load recovery priority of the at least one fault line based on the load information, including: Determining the load level of the load to be recovered corresponding to the at least one fault line and the load quantity of the load to be recovered based on the load information; Determining the load weight corresponding to the load level; Determining the load recovery priority based on the load weight and the load quantity.

5. The fault recovery method for a distribution network according to claim 2, characterized in that, Determining the feasible topological paths of the distribution network based on the grid structure data, including: Classifying the power supply paths of the distribution network based on the grid structure data to obtain the power supply types of the power supply paths; Performing feasible path search on the power supply paths and the at least one fault line based on the power supply types to obtain the feasible topological paths.

6. The fault recovery method for a distribution network according to claim 2, wherein Determining the safe operation constraints of the distribution network based on the grid structure data, including: Obtaining the charge constraint and voltage constraint of the distributed power sources in the distribution network; Determining the topological structure constraint of the distribution network based on the grid structure data; Determining the safe operation constraints based on any one or more of the charge constraint, the voltage constraint, and the topological structure constraint.

7. The fault recovery method for a distribution network according to claim 2, characterized in that, Determining the topological structure constraint of the distribution network based on the grid structure data, including: Determine the topological structure of the distribution network based on the power grid structure data, wherein the topological structure is used to represent the connection relationship between different lines in the distribution network; Determine the change state constraint of the topological structure; Determine the topological structure constraint based on the topological structure and the change state constraint.

8. An electronic device, characterized in that, Comprising: A memory storing an executable program; A processor for running the program, wherein when the program runs, it executes the method according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein when the executable program runs, it controls the device where the storage medium is located to execute the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that, Comprising a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.

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