Power distribution network system fault recovery method and device, terminal equipment and storage medium

Abstract

The invention discloses a power distribution network system fault recovery method and apparatus, a terminal device and a storage medium. The method comprises the steps of obtaining fault data and power data of a fault power distribution network system; the method comprises the following steps: on the basis of power data, constructing a target function by taking maximum load recovery as a target, and constructing a power distribution system first-aid repair scheduling model, a power distribution system power-on path model, a flexible load reduction model, a demand response model and a power distribution system operation model; under the constraint of fault data, a power distribution system first-aid repair scheduling model, a power distribution system power-on path model, a flexible load reduction model, a demand response model and a power distribution system operation model, an objective function is solved, and a maximum recovery load is generated; the load recovery amount of the key load, the load recovery amount of the interruptible load and the load recovery amount of the electric vehicle; and performing fault recovery on the power distribution network system based on the load recovery amount of the key load, the load recovery amount of the interruptible load and the load recovery amount of the electric vehicle.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network resilience, and particularly to a method, device, terminal device and storage medium for fault recovery of a distribution network system. Background Art

[0002] Extreme weather events (such as hurricanes, storms and floods) may cause serious damage to the infrastructure of the distribution system, further leading to large-scale power outages and huge social and economic losses. Therefore, an efficient post-disaster recovery plan is formulated to repair the power outage problem of the distribution system.

[0003] Regarding the post-disaster emergency repair of the distribution system, existing research mainly focuses on the dispatching of emergency repair teams and network reconstruction, as well as the collaborative optimization of distributed power sources and microgrids. However, as a flexible resource, the application potential of demand response in post-disaster emergency repair has not been fully explored. Demand response can reduce operating costs and relieve the power supply pressure. Especially under the conditions of the recovery of electric vehicles and cooling loads, the importance of demand response becomes more prominent. Therefore, it is urgent to coordinate demand response and fault repair in the fault recovery of the distribution network system to improve the resource utilization rate during the fault repair of the distribution network system and enhance the recovery speed of the distribution network system faults. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device, terminal device and storage medium for fault recovery of a distribution network system, which can coordinate demand response and fault repair in the fault recovery of the distribution network system, improve the utilization rate of load resources during the fault repair of the distribution network system, and enhance the recovery speed of the distribution network system faults.

[0005] An embodiment of the present invention provides a method for fault recovery of a distribution network system, including:

[0006] Obtaining fault data and power data of a faulty distribution network system; wherein, the fault data includes: the number of distributed generations, the number of electric vehicles, tie lines, the number of faults and the number of repair teams; the power data includes: fault repair data, energized path data, flexible load shedding data, demand response data, distribution system operation parameters and load revenue data;

[0007] Based on the power data, with the goal of maximizing the restored load, constructing an objective function; and based on the power data, constructing a distribution system emergency repair scheduling model, a distribution system energized path model, a flexible load shedding model, a demand response model and a distribution system operation model;

[0008] Under the constraints of the fault data, the distribution system emergency repair scheduling model, the distribution system energized path model, the flexible load shedding model, the demand response model, and the distribution system operation model, solve the objective function to generate the load restoration amounts of critical loads, interruptible loads, and electric vehicles when maximizing the restored load.

[0009] Based on the load restoration amounts of critical loads, interruptible loads, and electric vehicles, perform fault restoration on the distribution network system.

[0010] Furthermore, constructing the distribution system emergency repair scheduling model, the distribution system energized path model, the flexible load shedding model, the demand response model, and the distribution system operation model based on the power data includes:

[0011] Construct the distribution system emergency repair scheduling model based on the fault repair data;

[0012] Construct the distribution system energized path model based on the energized path data;

[0013] Construct the flexible load shedding model based on the flexible load shedding data;

[0014] Construct the demand response model based on the demand response data;

[0015] Construct the distribution system operation model based on the distribution system operation parameters.

[0016] Furthermore, the fault repair data includes: the moving time between two faults of the repair team, the total time steps of the repair, the time required for each repair team to repair each fault, and the repair status of each fault.

[0017] The distribution system emergency repair scheduling model is specifically:

[0018]

[0019] Among them, represents that the repair team c repairs the fault i at time t; tr D,i represents the driving time for the repair team c to reach the i-th fault line; tr i,j represents the moving time between the fault i and the fault j; T represents the total time steps of the repair; r i,c represents the time required for the repair team c to repair the fault i; represents the repair status of the fault i at time t; s i,t represents the available status of the line where the fault i is located at time t.

[0020] Furthermore, the energized path data includes: the energized paths between nodes, the operation status of each switch line, the repair status of each faulty line, the line set of the wired switch, the line set of the faulty lines, the energized path status corresponding to each node, and the energized status at both ends of each energized path;

[0021] The energized path model of the power distribution system is specifically:

[0022]

[0023]

[0024] Among them, f i,j,t represents the energized path from node i to node j at time t. If f i,j,t = 1, it means the energized path from node i to node j at time t; represents the operation status of the switch line from node i to node j at time t; represents the repair status of the faulty line from node i to node j at time t; L S represents the line set of the priority switch; L N represents the line set of the faulty lines; substation represents the substation; DG represents distributed generation; v i,t represents the energized path status of node i; load represents the load.

[0025] Furthermore, the flexible load shedding data includes: the maximum active load recovery of the flexible adjustable load, the power factor of the flexible adjustable load, the recovery status of the interruptible load, and the power factor of the interruptible load;

[0026] The flexible load shedding model is specifically:

[0027]

[0028]

[0029] Among them, represents the recovery status of the critical load; represents the recovery of the active load of the critical load; represents the recovery of the reactive load of the critical load; represents the repair status of the flexible adjustable load; represents the maximum active load recovery of the flexible adjustable load; represents the power consumption of the adjustable load during the recovery process; represents the reactive power of the flexible adjustable load; represents the power factor of the flexible adjustable load; represents the recovery status of the interruptible load; Indicates interruptible load; Indicates the maximum interruptible load; Indicates the reactive power that can be handled; Indicates the power factor of the interruptible load.

[0030] Furthermore, the demand response data includes: charge and discharge power, maximum discharge power, maximum charge power, state of charge of energy storage, charge and discharge efficiency, duration of each time step, minimum state of charge, maximum state of charge, cold start active load, cold start reactive load, maximum cold start active load, and maximum cold start reactive load;

[0031] The demand response model is specifically:

[0032]

[0033]

[0034] Among them, Indicates the state of electric vehicle charging station i; Indicates the charge and discharge power; Indicates the maximum discharge power; Indicates the maximum charge power; Indicates the state of charge of energy storage; Indicates the charge and discharge efficiency; Δt represents the duration of each time step; Indicates the minimum state of charge; Indicates the maximum state of charge; Indicates the recovery state of cold load i; Indicates the cold start active load; Indicates the cold start reactive load; Indicates the maximum cold start active load; Indicates the maximum cold start reactive load.

[0035] Furthermore, the distribution system operation parameters include: distributed generation active power, distributed generation reactive power, distributed generation active power capacity, distributed generation reactive power capacity, voltage at each node at each moment, resistance between each line, reactance between each line, upper limit of voltage at each node, and lower limit of voltage at each node;

[0036] The distribution system operation model is specifically:

[0037]

[0038]

[0039] Among them, P i,j,t Indicates the active power of the line; Q i,j,tRepresents the reactive power of the line; Represents the active power of distributed generation; Represents the reactive power of distributed generation; Represents the active power capacity of distributed generation; Represents the reactive power capacity of distributed generation; P k,i,t Represents the active power at time i; Q k,i,t Represents the reactive power at time i; Represents the active power output of the generator at time i; Represents the reactive power output of the generator at time i; U i,t Represents the voltage of node i at time t; U j,t Represents the voltage of node j at time t; R i,j Represents the resistance of the line between node i and node j; X i,j Represents the reactance of the line between node i and node j; U i Represents the lower voltage limit of node i; Represents the upper voltage limit of node i.

[0040] Based on the above method item embodiments, the present invention correspondingly provides apparatus item embodiments;

[0041] An embodiment of the present invention correspondingly provides a fault recovery device for a distribution network system, including: a data acquisition module, a model and constraint condition construction module, a model solution module, and a fault recovery module;

[0042] The data acquisition module is used to acquire the fault data and power data of the faulty distribution network system; wherein, the fault data includes: the number of distributed generations, the number of electric vehicles, tie lines, the number of faults, and the number of repair teams; the power data includes: fault repair data, energized path data, flexible load shedding data, demand response data, distribution system operation parameters, and load revenue data;

[0043] The model and constraint condition construction module is used to construct an objective function based on the power data with the goal of maximizing the restored load; and construct a distribution system emergency repair scheduling model, a distribution system energized path model, a flexible load shedding model, a demand response model, and a distribution system operation model based on the power data;

[0044] The model solution module is used to solve the objective function under the constraints of the fault data, the distribution system emergency repair scheduling model, the distribution system energized path model, the flexible load shedding model, the demand response model, and the distribution system operation model, and generate the load restoration amount of critical loads, the load restoration amount of interruptible loads, and the load restoration amount of electric vehicles when the restored load is maximized;

[0045] The fault recovery module is used to perform fault recovery on the distribution network system based on the load recovery amount of critical loads, the load recovery amount of interruptible loads, and the load recovery amount of electric vehicles.

[0046] Another embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a fault recovery method for a distribution network system described in the above-mentioned invention embodiment.

[0047] Another embodiment of the present invention provides a storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the storage medium is located to execute a fault recovery method for a distribution network system described in the above-mentioned invention embodiment.

[0048] By implementing the present invention, the following beneficial effects are achieved:

[0049] The present invention provides a fault recovery method, device, terminal device, and storage medium for a distribution network system. The method obtains fault data and power data of a faulty distribution network system, constructs an objective function with the goal of maximizing the restored load based on the power data, and constructs a distribution system emergency repair scheduling model, a distribution system energized path model, a flexible load shedding model, a demand response model, and a distribution system operation model based on the power data. Then, under the constraints of the fault data, the distribution system emergency repair scheduling model, the distribution system energized path model, the flexible load shedding model, the demand response model, and the distribution system operation model, the objective function is solved to generate the load recovery amount of critical loads, the load recovery amount of interruptible loads, and the load recovery amount of electric vehicles when the restored load is maximized. Furthermore, the distribution network system is then fault-recovered based on the load recovery amount of critical loads, the load recovery amount of interruptible loads, and the load recovery amount of electric vehicles. By considering demand response when fault-recovering a faulty distribution network system, a demand response model is constructed through the obtained power data, and the demand response model is used to constrain the solution of the objective function, so that the obtained load recovery amount of critical loads, the load recovery amount of interruptible loads, and the load recovery amount of electric vehicles are data obtained under the consideration of demand response, realizing the coordination of demand response and fault repair during the fault recovery of the distribution network system, improving the utilization rate of load resources during the fault repair of the distribution network system, and enhancing the fault recovery speed of the distribution network system. Description of the Drawings

[0050] Figure 1 It is a flowchart of a fault recovery method for a distribution network system provided by an embodiment of the present invention.

[0051] Figure 2It is a schematic diagram of the IEEE 33-node network provided by an embodiment of the present invention.

[0052] Figure 3 It is a graph of load / generation curve data in three microgrids.

[0053] Figure 4 It is a schematic structural diagram of a distribution network system fault recovery device provided by an embodiment of the present invention. Detailed implementation manners

[0054] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with 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.

[0055] As Figure 1 shown, it is a distribution network system fault recovery method provided by an embodiment of the present invention, including:

[0056] Step S1: Obtain the fault data and power data of the faulty distribution network system; wherein, the fault data includes: the number of distributed generations, the number of electric vehicles, tie lines, the number of faults, and the number of repair teams; the power data includes: fault repair data, energized path data, flexible load shedding data, demand response data, distribution system operation parameters, and load revenue data;

[0057] Step S2: Based on the power data, with the goal of maximizing the restored load, construct an objective function; and construct a distribution system emergency repair scheduling model, a distribution system energized path model, a flexible load shedding model, a demand response model, and a distribution system operation model based on the power data;

[0058] Step S3: Under the constraints of the fault data, the distribution system emergency repair scheduling model, the distribution system energized path model, the flexible load shedding model, the demand response model, and the distribution system operation model, solve the objective function to generate the load restoration amount of critical loads, the load restoration amount of interruptible loads, and the load restoration amount of electric vehicles when the restored load is maximized;

[0059] Step S4: Perform fault recovery on the distribution network system based on the load restoration amount of critical loads, the load restoration amount of interruptible loads, and the load restoration amount of electric vehicles.

[0060] For steps S1 and S2, obtain the fault data and power data of the faulty distribution network system; wherein, the fault data includes: the number of distributed generations, the number of electric vehicles, tie lines, the number of faults, and the number of repair teams; the power data includes: fault repair data, power transmission path data, flexible load shedding data, demand response data, distribution system operation parameters, and load revenue data. According to the obtained power data, construct a distribution system emergency repair scheduling model, a distribution system power transmission path model, a flexible load shedding model, a demand response model, and a distribution system operation model. According to the obtained power data, construct an objective function with the goal of maximizing the restored load.

[0061] In a preferred embodiment, constructing the distribution system emergency repair scheduling model, the distribution system power transmission path model, the flexible load shedding model, the demand response model, and the distribution system operation model based on the power data includes: constructing a distribution system emergency repair scheduling model based on the fault repair data; constructing a distribution system power transmission path model based on the power transmission path data; constructing a flexible load shedding model based on the flexible load shedding data; constructing a demand response model based on the demand response data; constructing a distribution system operation model based on the distribution system operation parameters.

[0062] In a preferred embodiment, the fault repair data includes: the moving time of the repair team between two faults, the total number of time steps for repair, the time required for each repair team to repair each fault, and the repair status of each fault.

[0063] The distribution system emergency repair scheduling model is specifically:

[0064]

[0065]

[0066] Wherein, represents that repair team c repairs fault i at time t; tr D,i represents the driving time for repair team c to reach the i-th fault line; tr i,j represents the moving time of the repair team between fault i and fault j; T represents the total number of time steps for repair; r i,c represents the time required for repair team c to repair fault i; represents the repair status of fault i at time t; s i,t represents the available status of the line where fault i is located at time t.

[0067] Specifically, constructing a distribution system emergency repair scheduling model based on the fault repair data mainly needs to consider the following aspects. First, construct a constraint expression that at most one repair team can repair one fault line at the same time, which is expressed as:

[0068]

[0069] Among them, indicates that maintenance team c repairs fault i at time t.

[0070] Secondly, construct an expression for the maintenance team to reach the first fault line, which is expressed as:

[0071]

[0072] where tr D,i indicates the driving time taken by maintenance team c to reach the i-th fault line.

[0073] Furthermore, construct an expression for the maintenance team to schedule between two fault lines (each fault line includes a fault node or contains a fault), which is expressed as:

[0074]

[0075] where tr i,j indicates the moving time of the maintenance team between faults i and j; T represents the total number of time steps for maintenance.

[0076] Furthermore, construct an expression for the maintenance team to repair the fault line, which is expressed as:

[0077]

[0078] where r i,c indicates the time required for maintenance team c to repair fault i; indicates the repair status of fault i at time t. When the maintenance team completes the repair of the fault on the line where fault i is located, the fault line status

[0079] Furthermore, construct an expression for maintaining the value of 1 when maintenance team c repairs fault i at time t after fault repair, which is expressed as:

[0080]

[0081] Furthermore, construct an expression indicating that at most one maintenance team can be dispatched for each fault repair, which is expressed as:

[0082]

[0083] Furthermore, construct an expression for the available status of the line, which is expressed as:

[0084]

[0085] where s i,tIndicates the available state of the line where fault i is located at time t.

[0086] In a preferred embodiment, the energized path data includes: the energized paths between nodes, the operating states of each switch line, the repair states of each fault line, the line sets of wired switches, the line sets of faults, the energized path states corresponding to each node, and the energized states at both ends of each energized path.

[0087] The energized path model of the distribution system is specifically as follows:

[0088]

[0089] Among them, f i,j,t Indicates the energized path between node i and node j at time t. If f i,j,t = 1, it means that the energized path is from node i to node j at time t. Indicates the operating state of the switch line between node i and node j at time t. Indicates the repair state of the fault line between node i and node j at time t; L S Indicates the line set of the priority switch; L N Indicates the line set of the faults; substation represents the substation; DG represents distributed generation; v i,t Indicates the energized path state of node i; load represents the load.

[0090] Specifically, constructing the energized path model of the distribution system mainly needs to consider the following aspects. First, construct the energized state expressions of the switch lines, fault lines, and non-fault lines, which are expressed as:

[0091]

[0092] Among them, f i,j,t Indicates the energized path between node i and node j at time t. If f i,j,t = 1, it means that the energized path is from node i to node j at time t. Indicates the operating state of the switch line between node i and node j at time t. Indicates the repair state of the fault line between node i and node j at time t; L S Indicates the line set of the priority switch; L N Indicates the line set of the faults.

[0093] Secondly, it is necessary to ensure that the energized path should start from the substation node or the distributed generation (DG) node, and it is assumed that these nodes have black start capabilities. The expressions constructed based on this requirement are as follows:

[0094]

[0095] Among them, substation represents a substation; DG represents distributed generation; load represents a load.

[0096] Furthermore, it is necessary to ensure the radiality of the distribution system so that each energized path can only pass through one node. Based on this requirement, the following expression is constructed:

[0097]

[0098] Furthermore, an expression for the energized state of the line when the faulty line is the root bus is constructed as follows:

[0099]

[0100] Among them, v i,t represents the energized path state of node i. After power-on repair, v i,t = 1. In addition, if the faulty line is the root bus, v i,t remains 1.

[0101] Furthermore, an expression representing the energized states of the two end nodes of the energized path is constructed and expressed as:

[0102]

[0103] Among them, when f i,j,t = 1, the energized states of nodes i and j are the same.

[0104] In a preferred embodiment, the flexible load shedding data includes: the maximum active load recovery of the flexible adjustable load, the power factor of the flexible adjustable load, the recovery state of the interruptible load, and the power factor of the interruptible load;

[0105] The flexible load shedding model is specifically:

[0106]

[0107] Among them, represents the recovery state of the critical load; represents the recovery of the active load of the critical load; represents the recovery of the reactive load of the critical load; represents the repair state of the flexible adjustable load; represents the maximum active load recovery of the flexible adjustable load; represents the power consumption of the adjustable load during the recovery process; represents the reactive power of the flexible adjustable load; represents the power factor of the flexible adjustable load; represents the recovery state of the interruptible load; Indicates interruptible load; Indicates the maximum interruptible load; Indicates the reactive power that can be handled; Indicates the power factor of the interruptible load.

[0108] Specifically, construct a load model, a flexible adjustable load model, and a flexible interruptible load model for the demand response contract under flexible load reduction, so that they jointly constitute a flexible load reduction model.

[0109] When constructing the flexible load reduction model, the following aspects of problems need to be considered mainly. First, for the loads without demand response contracts under flexible load reduction, these loads cannot be partially restored, and the expressions corresponding to the restoration of critical loads are as follows:

[0110]

[0111] Among them, Indicates the restoration status of the critical load; Indicates the restoration of the active load of the critical load; Indicates the restoration of the reactive load of the critical load.

[0112] Secondly, it is necessary to consider that under flexible load reduction, the total power consumption of the flexible adjustable load is constant and can be flexibly adjusted. The expressions representing the restoration status and range of the flexible adjustable load are as follows:

[0113]

[0114] Among them, Indicates the repair status of the flexible adjustable load; Indicates the maximum active load restoration of the flexible adjustable load.

[0115] Furthermore, construct the expression of load demand transfer during the restoration process, as follows:

[0116]

[0117] Among them, Indicates the power consumption of the adjustable load during the restoration process.

[0118] Furthermore, construct the reactive power expression of the flexible adjustable load, as follows:

[0119]

[0120] Among them, Indicates the power factor of the flexible adjustable load.

[0121] Furthermore, under flexible load curtailment, due to insufficient power supply during the recovery process of flexible interruptible loads, some loads can be interrupted to alleviate the imbalance between power and load. The expression for the recovery state of interruptible loads is constructed as follows:

[0122]

[0123] Among them, represents the recovery state of interruptible loads.

[0124] Furthermore, since the amount of interruptible load is limited, an expression for restricting the amount of load interrupted within a limited capacity is constructed as follows:

[0125]

[0126] Among them, represents the interruptible load; represents the maximum interruptible load; represents the reactive power that can be handled; represents the power factor of the interruptible load.

[0127] In a preferred embodiment, the demand response data includes: charge and discharge power, maximum discharge power, maximum charge power, state of charge of energy storage, charge and discharge efficiency, duration of a unit time step, minimum state of charge, maximum state of charge, cold start active load, cold start reactive load, maximum cold start active load, and maximum cold start reactive load;

[0128] The demand response model is specifically:

[0129]

[0130]

[0131] Among them, represents the charge and discharge power; represents the maximum discharge power; represents the maximum charge power; represents the state of charge of energy storage; represents the charge and discharge efficiency; Δt represents the duration of a unit time step; represents the minimum state of charge; represents the maximum state of charge; represents the recovery state of cold load i; represents the cold start active load; represents the cold start reactive load; represents the maximum cold start active load; represents the maximum cold start reactive load.

[0132] Specifically, constructing the demand response model specifically involves constructing an electric vehicle model under demand response and constructing a cold load recovery model under demand response.

[0133] Due to the flexible charging and discharging behavior of electric vehicles, electric vehicles can also participate in the demand response (DR) process. The expression representing the recovery status of an electric vehicle charging station is as follows:

[0134]

[0135] Where, represents the status of electric vehicle charging station i.

[0136] The expressions representing the charging or discharging output of each vehicle in the charging station and its state of charge (SOC) are as follows:

[0137]

[0138] Where, represents the charging and discharging power; represents the maximum discharging power; represents the maximum charging power; represents the state of charge of the energy storage; represents the charging and discharging efficiency; Δt represents the duration of a unit time step; represents the minimum state of charge; represents the maximum state of charge.

[0139] Assuming that the total number of electric vehicles remains unchanged during the recovery process, the expression representing the overall output of the electric vehicle charging station is as follows:

[0140]

[0141] Considering the behavior of the load under the condition of cold load recovery (CLPU) during the demand response process, the CLPU model is constructed through the following expressions.

[0142] First, an expression representing the recovery status of the cold load needs to be constructed, as follows:

[0143]

[0144] Where, represents the recovery status of cold load i.

[0145] Secondly, an expression corresponding to the difference in the unallocated load factor between adjacent time steps needs to be defined, as follows:

[0146]

[0147] Further, the active load demand and reactive load demand expressions under the cold load recovery (CLPU) condition are constructed as follows:

[0148]

[0149] Among them, represents the active load for cold start; represents the reactive load for cold start; represents the maximum active load for cold start; represents the maximum reactive load for cold start.

[0150] In a preferred embodiment, the operating parameters of the distribution system include: active power of distributed generation, reactive power of distributed generation, active power capacity of distributed generation, reactive power capacity of distributed generation, voltage of each node at each moment, resistance between each line, reactance between each line, upper limit of voltage of each node, and lower limit of voltage of each node;

[0151] The operating model of the distribution system is specifically:

[0152]

[0153] Among them, P i,j,t represents the active power of the line; Q i,j,t represents the reactive power of the line; represents the active power of distributed generation; represents the reactive power of distributed generation; represents the active power capacity of distributed generation; represents the reactive power capacity of distributed generation; P k,i,t represents the active power at time i; Q k,i,t represents the reactive power at time i; represents the active power output of the generator at time i; represents the reactive power output of the generator at time i; U i,t represents the voltage of node i at time t; U j,t represents the voltage of node j at time t; R i,j represents the resistance of the line between node i and node j; X i,j represents the reactance of the line between node i and node j; U i represents the lower limit of the voltage of node i; represents the upper limit of the voltage of node i.

[0154] Specifically, when constructing the operating model of the distribution system, the following constraints and problems need to be considered. First, a constraint expression for ensuring that the power of the unenergized line is zero needs to be constructed as follows:

[0155]

[0156] Among them, P i,j,t represents the active power of the line; Q i,j,t represents the reactive power of the line.

[0157] Furthermore, construct the expressions for the active and reactive power capacities of distributed generation (DG) as follows:

[0158]

[0159] Among them, represents the active power of distributed generation; represents the reactive power of distributed generation; represents the active power capacity of distributed generation; represents the reactive power capacity of distributed generation.

[0160] Furthermore, construct the power balance expressions for active and reactive power as follows:

[0161]

[0162] Among them, P k,i,t represents the active power at time i; Q k,i,t represents the reactive power at time i; represents the active power output of the generator at time i; represents the reactive power output of the generator at time i

[0163] Furthermore, construct the expressions for the limits of node voltage and voltage range as follows:

[0164]

[0165] Among them, U i,t represents the voltage of node i at time t; U j,t represents the voltage of node j at time t; R i,j represents the resistance of the line between node i and node j; X i,j represents the reactance of the line between node i and node j; U i represents the lower voltage limit of node i; represents the upper voltage limit of node i.

[0166] Based on the load revenue data and the data to be solved in the power data, with the goal of maximizing the restored load, construct the objective function. The load revenue data includes the load restoration revenue of critical loads, the load restoration revenue of interruptible loads, the load restoration revenue of electric vehicles, and the priorities of critical loads.

[0167] The objective function is as follows:

[0168]

[0169] Among them, represents the load restoration amount of critical loads; represents the load restoration amount of interruptible loads; represents the load restoration amount of electric vehicles (EVs); C D represents the load restoration benefit of critical loads; C IL represents the load restoration benefit of interruptible loads; C EV represents the load restoration benefit of electric vehicles; represents the priority of critical loads.

[0170] For steps S3 and S4, considering the fault data of the faulty distribution network system, such as the number of distributed generations, the number of electric vehicles, tie lines, the number of faults, and the number of repair teams in the distribution network system during actual faults, and then combining the constraints of the distribution system emergency repair scheduling model, the distribution system energized path model, the flexible load shedding model, the demand response model, and the distribution system operation model on the objective function, the objective function is solved to generate the load restoration amounts of critical loads, interruptible loads, and electric vehicles when maximizing the restored load. It should be noted that the core of the objective function is to maximize the restored load on the premise of satisfying all model constraints (the restored load includes critical loads, interruptible loads, and the load of electric vehicles). The objective function will affect the emergency repair plan of the fault, making the repair team give priority to repairing critical loads with high priority or loads with high benefits; making the distributed power sources in the distribution network supply power to critical loads with high priority or loads with high benefits. The above two aspects affect the load restoration amount of the distribution network, that is, the fault restoration of the distribution network is achieved through the above parameters. That is, after solving the above objective function, the obtained solution including the load restoration amounts of critical loads, interruptible loads, and electric vehicles can enable the repair team to give priority to repairing loads with high benefits or critical loads with high priority, thereby effectively coordinating the emergency repair scheduling and demand response, and enhancing the restoration speed and resilience of the distribution system.

[0171] It should be added that the improved IEEE 33-node network is used below to verify the method of the present invention, and this network is as Figure 2 shown. The distribution system includes three distributed generations (DGs), two electric vehicles (EVs), and two tie lines (the tie lines correspond to Figure 2 the dotted part in

[0172] Assume that after an extreme weather event, the distribution system is affected by seven faults, and two repair teams are dispatched for fault repair. The parameters of electric vehicles (EVs) are shown in Table 1. The initial state of charge (SoC), weight coefficient, and cold load pickup (CLPU) load modeling parameters of electric vehicles are randomly generated based on a uniform distribution. The repair time required for each fault is listed in Table 2. The entire post-disaster repair process is divided into 15 time steps, each time step being 20 minutes.

[0173] Table 1 Electric Vehicle Parameters

[0174]

[0175] Table 2 Repair Time of Faults

[0176]

[0177]

[0178] After simulation processing based on the above data, the operation of the switch lines is shown in Table 3.

[0179] Table 3 DGs Parameters

[0180]

[0181] In Figure 2 Faults 5 and 6 are preferentially repaired because they are close to the substation and can restore a large amount of load. Subsequently, faults 4, 2, and 3 are repaired in sequence to restore the remaining power outage load. Finally, faults 1 and 7 are repaired to restore the normal network topology. Switch lines 8 - 22 and 25 - 31 are enabled to connect the power outage load to other feeders. Three microgrids are constructed to restore critical loads and reduce load losses, with power support provided by DG#6, #17, and #23.

[0182] Furthermore, the demand response of different loads is optimized, including IL, SL, CLPU, and EV, to reduce load losses. Figure 3 Shows the load / generation curves in three microgrids, respectively Figure 3 (a) MG#16, Figure 3 (b) MG#17 and Figure 3(c) MG#23. In microgrid #6, due to insufficient power support, some critical user loads were shed; the interruptible load at node 8 was restored at the 3rd time step. In microgrid #17, the EV was in the charging mode at the 2nd, 3rd, and 4th time steps and in the discharging mode from the 5th to the 9th time steps to support critical loads. After connecting to the substation, the EV entered the charging mode until the SoC reached the upper limit. In microgrid #23, the EV charged in the 0th to 4th time steps to absorb the excess DG output and discharged in the 6th and 7th time steps to restore critical loads. Since DG#23 could provide sufficient power, some IL and SL were restored. In addition, to avoid voltage over-limit, the cold loads on busbars 7 and 11 were restored after connecting to the substation. In Figure 3 (a) and (b), the load decreased exponentially under the cold load restoration condition and returned to the pre-outage level at the end of the restoration.

[0183] It can be verified from the above case data results that the solution of the present invention can coordinate repair scheduling, network reconfiguration, and demand response to maximize load restoration, and the demand response of interrupted load, adjustable load, electric vehicle, and cold load restoration can accelerate the restoration process and avoid violation of safety constraints.

[0184] Based on the above method item embodiments, the present invention correspondingly provides device item embodiments.

[0185] As Figure 4 shown, an embodiment of the present invention provides a device for fault restoration of a distribution network system, including: a data acquisition module, a model and constraint condition construction module, a model solution module, and a fault restoration module;

[0186] The data acquisition module is used to acquire the fault data and power data of the faulty distribution network system; wherein, the fault data includes: the number of distributed generations, the number of electric vehicles, tie lines, the number of faults, and the number of repair teams; the power data includes: fault repair data, energized path data, flexible load shedding data, demand response data, distribution system operation parameters, and load revenue data;

[0187] The model and constraint condition construction module is used to construct an objective function based on the power data with the goal of maximizing the restored load; and construct a distribution system emergency repair scheduling model, a distribution system energized path model, a flexible load shedding model, a demand response model, and a distribution system operation model based on the power data;

[0188] The model solution module is used to solve the objective function under the constraints of the fault data, the distribution system emergency repair scheduling model, the distribution system energized path model, the flexible load shedding model, the demand response model, and the distribution system operation model, and generate the load restoration amount of critical loads, the load restoration amount of interruptible loads, and the load restoration amount of electric vehicles when the restored load is maximized;

[0189] The fault recovery module is used to perform fault recovery on the distribution network system based on the load recovery amount of critical loads, the load recovery amount of interruptible loads, and the load recovery amount of electric vehicles.

[0190] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationships between the modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement without creative efforts.

[0191] Those skilled in the art can clearly understand that for the sake of convenience and brevity, the specific working process of the device described above can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here.

[0192] Based on the above method item embodiments, the present invention correspondingly provides terminal device item embodiments.

[0193] An embodiment of the present invention provides a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements a method for fault recovery of a distribution network system according to any one of the present invention.

[0194] The terminal device can be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The terminal device may include, but is not limited to, a processor and a memory.

[0195] The so-called processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor is the control center of the terminal device and connects various parts of the entire terminal device through various interfaces and lines.

[0196] The memory can be used to store the computer program. The processor realizes various functions of the terminal device by running or executing the computer program stored in the memory and calling the data stored in the memory. The memory mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include high-speed random access memory and can also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, Smart Media Card (SMC), Secure Digital (SD) card, Flash Card, at least one magnetic disk storage device, flash device, or other volatile solid-state storage devices.

[0197] Based on the above method item embodiments, the present invention correspondingly provides storage medium item embodiments.

[0198] An embodiment of the present invention provides a storage medium. The storage medium includes a stored computer program. Among them, when the computer program runs, it controls the device where the storage medium is located to execute a power distribution network system fault recovery method described in any one of the present invention.

[0199] The storage medium is a computer-readable storage medium, and the computer program is stored in the computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-described various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, an executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc.

[0200] The above is 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 are also regarded as the protection scope of the present invention.

Claims

1. A method for recovering a distribution network system fault, characterized in that: include: Obtaining fault data and power data of the faulty distribution network system; wherein the fault data includes: the number of distributed generation, the number of electric vehicles, the interconnection lines, the number of faults and the number of maintenance teams; the power data includes: fault repair data, power-on path data, flexible load reduction data, demand response data, distribution system operating parameters and load revenue data; Based on the power data, an objective function is constructed with the goal of maximizing load restoration; and based on the power data, a distribution system emergency repair scheduling model, a distribution system power-on path model, a flexible load reduction model, a demand response model and a distribution system operation model are constructed; Under the constraints of the fault data, the distribution system emergency repair dispatch model, the distribution system power-on path model, the flexible load reduction model, the demand response model and the distribution system operation model, the objective function is solved to generate the load recovery amount of the critical load, the load recovery amount of the interruptible load and the load recovery amount of the electric vehicle when maximizing the load recovery; The distribution network system is restored from faults based on the load recovery amount of critical loads, the load recovery amount of interruptible loads and the load recovery amount of electric vehicles.

2. A method for recovering a power distribution network system fault according to claim 1, characterized in that: The construction of a distribution system emergency repair dispatch model, a distribution system power-on path model, a flexible load reduction model, a demand response model and a distribution system operation model based on the power data includes: Building a distribution system emergency repair scheduling model based on the fault repair data; constructing a power distribution system power supply path model based on the power supply path data; constructing a flexible load reduction model based on the flexible load reduction data; constructing a demand response model based on the demand response data; A power distribution system operation model is constructed based on the power distribution system operation parameters.

3. A method for recovering a power distribution network system fault according to claim 2, characterized in that: The fault repair data includes: the travel time of the maintenance team between two faults, the total number of repair steps, the time required for each maintenance team to repair each fault, and the repair status of each fault; The distribution system emergency repair dispatch model is specifically as follows: in, indicates that maintenance team c repairs fault i at time t; tr D,i represents the travel time taken by the maintenance team c to reach the i-th fault line; tr i,j represents the travel time of the maintenance team between fault i and fault j; T represents the total number of maintenance steps; r i,c represents the time required for maintenance team c to repair fault i; represents the repair status of fault i at time t; s i,t Indicates the availability status of the line where fault i is located at time t.

4. A method for recovering from a power distribution network failure as claimed in claim 3, characterized in that: The power path data includes: the power paths between nodes, the operation status of each switch line, the repair status of each faulty line, the line set of wired switches, the faulty line set, the power path status corresponding to each node, and the power status at both ends of each power path; The power distribution system power path model is specifically: Among them, f i,j,t represents the power path from node i to node j at time t. If f i,j,t =1 means the energized path is from node i to node j at time t; Represents the operating state of the switch line from node i to node j at time t; represents the repair status of the fault line between node i and node j at time t; L S represents the line set of priority switches; L N represents the set of faulty lines; substation represents a substation; DG represents distributed generation; v i,t represents the power path state of node i; load represents the load.

5. A method for recovering a power distribution network system fault according to claim 4, characterized in that: The flexible load reduction data includes: maximum active load recovery of the flexible and adjustable load, power factor of the flexible and adjustable load, recovery status of the interruptible load and power factor of the interruptible load; The flexible load reduction model is specifically: in, Indicates the recovery status of critical loads; Indicates the restoration of active load of critical load; Restores reactive loads that represent critical loads; Indicates the repair status of the flexible and adjustable load; Indicates the maximum active load recovery of the flexible and adjustable load; Indicates the power consumption of adjustable load during the recovery process; Indicates the reactive power of the flexible and adjustable load; Indicates the power factor of the flexible and adjustable load; Indicates the recovery status of the interruptible load; Indicates interruptible load; Indicates the maximum interruptible load; Indicates the reactive power that can be handled; Indicates the power factor of the interruptible load.

6. A method for recovering from a power distribution network failure as claimed in claim 5, characterized in that: The demand response data includes: charging and discharging power, maximum discharging power, maximum charging power, charge level of energy storage, charging and discharging efficiency, duration of unit time step, minimum charge level, maximum charge level, cold start active load, cold start reactive load, maximum cold start active load and maximum cold start reactive load; The demand response model is specifically: in, represents the state of electric vehicle charging station i; Indicates the charge and discharge power; Indicates the maximum discharge power; Indicates the maximum charging power; Indicates the charge level of the energy storage; Indicates the charging and discharging efficiency; Δt indicates the duration of the unit time step; Indicates the minimum charge level; Indicates the maximum charge level; represents the recovery state of cooling load i; Indicates the cold start active load; Indicates cold start reactive load; Indicates the maximum value of cold start active load; Indicates the maximum value of cold start reactive load.

7. A method for recovering from a power distribution network failure as claimed in claim 6, characterized in that: The distribution system operation parameters include: distributed generation active power, distributed generation reactive power, distributed generation active power capacity, distributed generation reactive power capacity, voltage of each node at each time, resistance between each line, reactance between each line, upper limit of voltage of each node and lower limit of voltage of each node; The distribution system operation model is specifically: Among them, P i,j,t Indicates the active power of the line; Q i,j,t Indicates the reactive power of the line; Indicates the active power of distributed generation; Represents the reactive power of distributed generation; Indicates the active power capacity of distributed generation; Represents the reactive power capacity of distributed generation; P k,i,t represents the active power at time i; Q k,i,t represents the reactive power at time i; represents the active power output of the generator at time i; represents the reactive power output of the generator at time i; U i,t represents the voltage of node i at time t; U j,t represents the voltage of node j at time t; R i,j represents the resistance of the line between node i and node j; X i,j represents the reactance of the line between node i and node j; U i represents the lower voltage limit of node i; Represents the voltage upper limit of node i.

8. A distribution network system fault recovery device, characterized in that: include: Data acquisition module, model and constraint condition construction module, model solving module and fault recovery module; The data acquisition module is used to acquire fault data and power data of the fault distribution network system; wherein the fault data includes: the number of distributed generation, the number of electric vehicles, the contact lines, the number of faults and the number of maintenance teams; the power data includes: fault repair data, power path data, flexible load reduction data, demand response data, distribution system operation parameters and load revenue data; The model and constraint condition construction module is used to construct an objective function based on the power data with the goal of maximizing the load restoration; and to construct a distribution system emergency repair scheduling model, a distribution system power-on path model, a flexible load reduction model, a demand response model and a distribution system operation model based on the power data; The model solving module is used to solve the objective function under the constraints of the fault data, the distribution system emergency repair scheduling model, the distribution system power-on path model, the flexible load reduction model, the demand response model and the distribution system operation model, and generate the load recovery amount of the critical load, the load recovery amount of the interruptible load and the load recovery amount of the electric vehicle when maximizing the load recovery; The fault recovery module is used to perform fault recovery on the distribution network system based on the load recovery amount of the critical load, the load recovery amount of the interruptible load and the load recovery amount of the electric vehicle.

9. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, a distribution network system fault recovery method as described in any one of claims 1 to 7 is implemented.

10. A storage medium, characterized in that: The storage medium includes a stored computer program, wherein when the computer program is executed, the device where the storage medium is located is controlled to execute a distribution network system fault recovery method as described in any one of claims 1 to 7.

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