CN115586396A - Fault positioning method and system for active power distribution network system - Google Patents
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Abstract
The invention discloses a fault positioning method for an active power distribution network system, which comprises the following steps: acquiring system information of an active power distribution network and transmitting the system information of the active power distribution network to a fault interval positioning module; based on a fault section positioning module, positioning the fault of the active power distribution network system and outputting a fault section; based on the fault section, the SCADA master station locates a corresponding fault position and a non-fault area outside the fault section, and sends a cutting instruction and a power supply recovery instruction, wherein the cutting instruction is used for cutting off the FTU at the fault position; the power supply recovery instruction is used for recovering power supply for the mistaken removal of the non-fault area; wherein the non-fault area is generated by overcurrent current caused by a fault in the active power distribution network system. Corresponding systems, electronic devices, and computer-readable storage media are also disclosed.
Description
Technical Field
The invention belongs to the technical field of relay protection of new energy power systems, and particularly relates to a fault positioning method and system for an active power distribution network system.
Background
With the increasing maturity of new energy power generation technology, the permeability of a distributed power supply in a power distribution network is increased, so that the structure of the power distribution network is more and more complex. With the rapid development of national economy and the continuous improvement of the living standard of people, people continuously improve the reliability of power supply, and the power distribution network is directly connected with users, so that the improvement of the reliability of power supply of the power distribution network is particularly critical. Based on the overflow information uploaded by a fault indicator or a Feeder Terminal (FTU), the method adopts a proper algorithm to realize the rapid fault location and isolation of the power distribution network, and is one of the current trends of active power distribution network fault location development. At present, algorithms for researching fault location of a power distribution network mainly comprise a matrix algorithm, a neural network algorithm, a genetic algorithm, an ant colony algorithm and the like. The matrix algorithm mainly generates a discrimination matrix according to FTU uploading information and a power distribution network topological structure, and the method is high in positioning speed and suitable for a power distribution network with a simple structure; the neural network algorithm is superior to other algorithms in the aspect of performance, has low fault tolerance under the condition of aiming at an active power distribution network, and is not completely applicable under the condition of high reliability; the genetic algorithm has a fast convergence speed compared with the traditional algorithm, and has the obvious defects of more control variables, no determined termination rule and unsuitability for a power distribution network containing a plurality of distributed power supplies. Therefore, the fault tolerance and the speed of fault positioning of the traditional power distribution network and the active power distribution network are considered, and the improvement of the power supply reliability of the active power distribution network system is the problem to be solved by the technical personnel in the field.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a method and a system for positioning the fault of an active power distribution network system, so as to effectively solve the problem that the fault tolerance and the convergence are to be further improved in the fault positioning algorithm of the active power distribution network system.
The invention provides a fault positioning method for an active power distribution network system on one hand, which comprises the following steps:
s1, acquiring system information of an active power distribution network and transmitting the system information of the active power distribution network to a fault interval positioning module;
s2, positioning the fault of the active power distribution network system based on the fault section positioning module and outputting a fault section; and
s3, based on the fault section, the SCADA master station locates a corresponding fault position and a non-fault area outside the fault section, and sends a cutting instruction and a power supply recovery instruction, wherein the cutting instruction is used for cutting off the FTU at the fault position; the power supply recovery instruction is used for recovering power supply for the mistaken removal of the non-fault area; wherein the non-fault area is generated by an overcurrent caused by a fault in the active power distribution network system.
Preferably, the information in S1 includes real-time data of FTU and SCADA master stations installed at switch nodes of the active power distribution network system.
Preferably, the S2 includes:
s21, establishing an active power distribution network system fault positioning model, wherein the active power distribution network system fault positioning model comprises an active power distribution network topological structure;
s22, carrying out binary coding on the active power distribution network system network based on the active power distribution network topological structure;
s23, constructing a switching function of each switch in the active power distribution network system network and a fitness function of a fault positioning algorithm based on the binary codes, wherein the fitness function is used as an evaluation function of the fault positioning algorithm and is obtained based on the switching function;
and S24, based on the switching function and the fitness function, performing fault location on the active power distribution network system by adopting a particle swarm algorithm.
Preferably, the step S21 of establishing the active power distribution network system fault location model includes:
(1) Distributed power supplies and energy storage devices in an active power distribution network system are used as fault current output sources, namely other power supplies are connected to a traditional power distribution network;
(2) Based on the fault current output source, performing mathematical modeling on the fault location problem of the active power distribution network system by adopting a binary coding rule to obtain a fault location model of the active power distribution network system; wherein the binary encoding rule comprises:
in the formula I r Representing information uploaded by switch r.
Preferably, the S22 is implemented based on the binary coding rule by performing binary coding on the active power distribution network system network based on the active power distribution network topology structure.
Preferably, in S23, a switching function of each switch in the active power distribution network system network and a fitness function of the fault location algorithm are constructed based on the binary code, where the fitness function is an evaluation function of the fault location algorithm, and in the construction based on the switching function, the method includes: setting the switch as a switch r, wherein a switch function corresponding to the switch r is as the following formula (2):
in the formula:
respectively representing the switching coefficients of the power supply, wherein the value of 0 represents that the power supply is not accessed, and the value of 1 represents that the power supply is accessed;
respectively representThe state information of the line passes through the paths from the upstream power supply, the downstream power supply to the switch r, the state information of the line has '1' and '0', the '1' indicates that the line has a fault, and the '0' indicates that no fault occurs; s is r (m)、s r (n) line status information indicating upper and lower half areas of the switch r, respectively; m and N respectively represent the total number of circuits of the upper half area and the lower half area, wherein M is the total number of circuits of the upper half area, and N is the total number of circuits of the lower half area;
the fitness function is shown in formula (3):
in the formula: z represents the total number of switches; I.C. A Z Representing the actual state information value uploaded by the FTU at the switch z;
-a switching function at switch Z.
Preferably, the S24 includes:
s241, initializing population parameters of the particle swarm, wherein the population parameters comprise an initial particle swarm size N, a particle dimension M and iteration times;
s242, inputting state information of an FTU or a fault indicator into the particle swarm, calculating a fitness value of each particle in the initial particle swarm based on the state information and the fitness function, and determining an individual extreme pbest and a global extreme gbest of the initial population based on the fitness value of each particle;
s243, introducing a signal function sigmoid (), a contraction factor alpha and an inertia factor omega to improve a position updating formula and a speed updating formula, and determining an individual extreme value pbest and a global extreme value gbest of a new particle swarm according to the improved position updating formula and the improved speed updating formula;
s244, judging whether the individual extreme value pbest and the global extreme value gbest meet the convergence condition, if so, determining the particle position corresponding to the current global extreme value gbest as the system fault result; otherwise, updating the speed and the position of each particle in the particle swarm to obtain a new particle swarm, repeating the steps S242 and S243, calculating the fitness value of each particle in the new particle swarm, and finding out the optimal gBest of the swarm and the optimal pBest of the individual again.
A second aspect of the present invention provides an active power distribution network system fault location system, including:
the information acquisition and transmission module is used for acquiring the system information of the active power distribution network and transmitting the system information of the active power distribution network to the fault section positioning module;
the fault location and output module is used for locating the fault of the active power distribution network system based on the fault interval location module and outputting a fault section; and
the instruction sending module is used for positioning a corresponding fault position and a non-fault area outside the fault section by the SCADA master station based on the fault section, and sending a cutting instruction and a power supply recovery instruction, wherein the cutting instruction is used for cutting off the FTU at the fault position; the power supply recovery instruction is used for recovering power supply for the mistaken removal of the non-fault area; wherein the non-fault area is generated by overcurrent current caused by the active power distribution network system fault.
A third aspect of the invention provides an electronic device comprising a processor and a memory, the memory storing a plurality of instructions, the processor being configured to read the instructions and to perform the method according to the first aspect.
A fourth aspect of the invention provides a computer readable storage medium storing a plurality of instructions readable by a processor and performing the method of the first aspect.
The method, the device, the electronic equipment and the computer readable storage medium provided by the invention have the following beneficial technical effects:
establishing an active power distribution network fault positioning model; according to the topological structure of the active power distribution network, carrying out binary coding on the network of the active power distribution network system, and constructing a switching function of each switch and an evaluation function of an algorithm; a particle swarm algorithm is adopted, population parameters are initialized, the initial position and the initial speed are included, the convergence condition is set, the switch discreteness and the algorithm convergence are considered, a signal function, a contraction factor and an inertia factor are introduced to improve the traditional particle swarm algorithm, finally, the state information of a Feeder Terminal (FTU) or a fault indicator is input, the fault section of an active power distribution network system is determined quickly and accurately, the fault position is cut off quickly, the fault range is effectively prevented from being expanded, and the stability of a power supply system is improved.
Drawings
Fig. 1 is a schematic flow diagram illustrating a method for locating a fault in an active power distribution grid system according to a preferred embodiment of the invention.
Fig. 2 is a schematic flow chart of a basic particle swarm algorithm shown according to a preferred embodiment of the invention.
Fig. 3 is a diagram illustrating an example model of fault location in the method for locating a fault in an active power distribution grid system according to the preferred embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an embodiment of an electronic device provided in the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
Example one
Referring to fig. 1-3, an active power distribution network system fault location method includes:
s1, acquiring active power distribution network system information and transmitting the active power distribution network system information to a fault interval positioning module;
s2, positioning the fault of the active power distribution network system based on the fault section positioning module and outputting a fault section; and
s3, based on the fault section, the SCADA master station positions a corresponding fault position and a non-fault area outside the fault section, and sends out an excision instruction and a power supply recovery instruction, wherein the excision instruction is used for excision of an FTU (fully called a feeder terminal device or a power distribution switch monitoring terminal, has the functions of remote control, remote measurement, remote signaling and fault detection, is communicated with a power distribution automatic master station, provides the running condition of a power distribution system and various parameters and information required by monitoring and controlling, including on-off states, electric energy parameters, phase faults, grounding faults and parameters during fault, executes a command sent by the power distribution master station, adjusts and controls power distribution equipment, and realizes the functions of fault positioning, fault isolation, quick power supply recovery of the non-fault area and the like); the power supply recovery instruction is used for carrying out power supply recovery on the mistaken removal of the non-fault area; wherein the non-fault area is generated by overcurrent current caused by the fault of the active power distribution network system, as shown in fig. 1.
In a preferred embodiment, the information in S1 includes real-time data of FTU and SCADA master stations (the SCADA master stations are DCS and power automation monitoring system based on a computer) installed at switch nodes of the active power distribution network system.
As a preferred embodiment, the S2 includes:
s21, establishing an active power distribution network system fault positioning model, wherein the active power distribution network system fault positioning model comprises an active power distribution network topological structure;
s22, carrying out binary coding on the active power distribution network system network based on the active power distribution network topological structure;
s23, constructing a switch function of each switch in the active power distribution network system network and a fitness function of a fault location algorithm based on the binary codes, wherein the fitness function is used as an evaluation function of the fault location algorithm and is obtained based on the switch function construction;
and S24, based on the switching function and the fitness function, performing fault location on the active power distribution network system by adopting a particle swarm algorithm.
As a preferred embodiment, the S21 establishing an active power distribution network system fault location model includes:
(1) Distributed power supplies and energy storage devices in an active power distribution network system are used as fault current output sources, namely other power supplies are connected to a traditional power distribution network;
(2) Based on the fault current output source, performing mathematical modeling on the fault location problem of the active power distribution network system by adopting a binary coding rule to obtain a fault location model of the active power distribution network system; wherein the binary encoding rule comprises:
in the formula I r Representing the information uploaded by switch r.
Step S1 is modeling of the fault location problem of the active power distribution network, and the step is implemented because the FTU is used to upload the breaker overcurrent information, so that in the conventional power distribution network, whether there is overcurrent information flowing through the breaker depends on a system power supply, and after the conventional power distribution network is connected to the distributed power supply, the distributed power supply also provides a short-circuit current when a fault occurs. Therefore, the switch coding mode of the conventional power distribution network is not completely applicable to the case of the power distribution network containing the DG, and therefore, the switch coding mode is redefined for the case, as shown in formula (1).
In a preferred embodiment, the S22 is implemented based on the binary encoding rule by performing binary encoding on the active power distribution network system network based on the active power distribution network topology.
As a preferred embodiment, in S23, a switching function of each switch in the active power distribution network system network and a fitness function of the fault location algorithm are constructed based on the binary code, where the fitness function is an evaluation function of the fault location algorithm, and in the obtaining based on the switching function construction: setting the switch as a switch r, wherein a switch function corresponding to the switch r is as the following formula (2):
in the formula:
switches for indicating power supply respectivelyThe coefficient, the value of 0 represents non-access, and the value of 1 represents access;
the state information of the line respectively represents the state information of the line passing through the paths from the upstream power supply and the downstream power supply to the switch r, the state information of the line comprises '1' and '0', the '1' represents that the line has a fault, and the '0' represents that the fault does not occur; s is r (m)、s r (n) line status information indicating upper and lower half areas of the switch r, respectively; m and N respectively represent the total number of circuits of the upper half area and the lower half area, wherein M is the total number of circuits of the upper half area, and N is the total number of circuits of the lower half area;
the fitness function is shown in formula (3):
in the formula: z represents the total number of switches; I.C. A Z Representing the actual state information value uploaded by the FTU at the switch z;
-switching function at switch Z
As a preferred embodiment, the S24 includes:
s241, initializing population parameters of the particle swarm, wherein the population parameters comprise an initial particle swarm size N, a particle dimension M and iteration times;
s242, inputting state information of an FTU or a fault indicator into the particle swarm, calculating a fitness value of each particle in the initial particle swarm based on the state information and the fitness function, and determining an initial population individual extreme value pbest and a global extreme value gbest based on the fitness value of each particle;
s243, introducing a signal function sigmoid (), a contraction factor alpha and an inertia factor omega to improve a position updating formula and a speed updating formula, and determining an individual extreme value pbest and a global extreme value gbest of a new particle swarm according to the improved position updating formula and the improved speed updating formula;
s244, judging whether the individual extreme value pbest and the global extreme value gbest meet the convergence condition, if so, determining the particle position corresponding to the current global extreme value gbest as the system fault result; otherwise, updating the speed and the position of each particle in the particle swarm to obtain a new particle swarm, repeating the steps S242 and S243, calculating the fitness value of each particle in the new particle swarm, and finding out the optimal gBest of the swarm and the optimal pBest of the individual again.
The method for positioning the fault of the active power distribution network system is specifically carried out according to the following steps:
the method is characterized in that a traditional power distribution network is connected to a distributed power supply, so that after the power distribution network fails, fault current is not provided by a system independently, and a corresponding fitness function and a corresponding switching function are constructed by carrying out binary coding on the problem of active power distribution network fault location. In addition, the switching condition of the distributed power supply is considered, and switching coefficients '1' and '0' corresponding to switching are set in the construction process of the switching function, wherein '1' represents that the node is put into the distributed power supply, and '0' represents that the node is not put into the distributed power supply.
The method comprises the following specific steps:
step 1: establishing a fault positioning model of the active power distribution network system;
and 2, step: according to the topological structure of the active power distribution network, carrying out binary coding on the active power distribution network system network; constructing a switching function of each switch and a fitness function of an algorithm;
and 3, step 3: performing fault location on an active power distribution network system by adopting a particle swarm algorithm, wherein the initial particle swarm size is N, the particle dimension is M, and the iteration times are M;
and 4, step 4: inputting state information of a Feeder Terminal (FTU) or a fault indicator, calculating a fitness value of an initial particle, and determining an initial population individual extreme value pbest and a global extreme value gbest;
and 5: introducing a signal function sigmoid (), a shrinkage factor alpha and an inertia factor omega to improve a position updating formula and a speed updating formula, and determining an individual extreme value pbest and a global extreme value gbest of a new particle swarm according to the improved formulas;
and 6: judging whether a convergence condition is met, if so, determining the particle position corresponding to the current global extreme value gbest as a system fault result; otherwise, returning to the step 5, updating the speed and the position of the particles, calculating the fitness of each particle in the new particle swarm, and finding out the optimal gBest of the swarm and the optimal pBest of the individual again;
and 7: the routine is ended.
The whole fault positioning system can be divided into three steps of information uploading, fault section positioning program operation and fault processing. Information uploading mainly depends on transmission of real-time data of an FTU (feeder terminal Unit) and an SCADA (supervisory control and data acquisition) master station which are installed on a switch node, a fault interval positioning program mainly depends on operation processing of microcomputer software, and finally, an output fault section can be cut off by the FTU of the corresponding fault position instructed by the SCADA master station, and power supply recovery is carried out by mistakenly cutting off a non-fault area caused by overcurrent current caused by faults, as shown in figure 1.
Modeling the fault location problem of the active power distribution network; because the FTU uploads the breaker bypass information, in the conventional power distribution network, whether the bypass information flows through the breaker depends on the system power supply, and after the conventional power distribution network is connected to the distributed power supply, the distributed power supply also provides short-circuit current when a fault occurs. Therefore, the switching coding mode of the conventional power distribution network is not completely applicable to the case of the power distribution network including the DG, and therefore, for this case, the switching coding mode is redefined, as shown in formula (5):
in the formula: i is r -information uploaded by switch r.
<xnotran> 3 , "1", 5 , 10 8, , FTU [1,1,1,1,1,1, -1,0,1, -1, -1, -1, -1,1,1, -1, -1,1, -1,0], , [0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]. </xnotran>
Constructing a power distribution network fault positioning fitness function;
considering that the FTU upload information may also be distorted, in order to enable the fitness function to correctly determine the fault location, a minimum set theory is used in the fitness function, so that this situation can be effectively prevented, specifically as in formula (6):
in the formula: IZ-the actual value of the Z switch position;
-a desired value of Z-switch position; x is the number of N -line information ("1" for fault, "0" for no fault); ω ∈ (0, 1) -weight coefficient.
Switching function:
for different power distribution network, the expressions obtained by the switching function are different, taking fig. 2 as switch 1 as an example, the values obtained by the switching function are:
E(i,1)＝S*(X(i,1)||X(i,2)||X(i,3)||X(i,4)||X(i,5)||X(i,6)||X(i,7)||X(i,8)||X(i,9)||X(i,10)||X(i,11)||X(i,12)||X(i,13)||X(i,14)||X(i,15)||X(i,16)||X(i,17)||X(i,18)||X(i,19)||X(i,20))；
the invention relates to a fault positioning method for an active power distribution network, which aims at the fault positioning problem of a traditional power distribution network and an active power distribution network system containing a distributed power supply and an energy storage device, improves the updating mechanism of the traditional particle swarm algorithm, introduces a signal function sigmoid (), a shrinkage factor alpha and an inertia factor omega, optimizes the convergence and fault tolerance of the algorithm on the premise of accurate positioning of a fault section, and has certain practical significance.
Example two
An active power distribution network system fault location system comprising:
the information acquisition and transmission module is used for acquiring the system information of the active power distribution network and transmitting the system information of the active power distribution network to the fault section positioning module;
the fault location and output module is used for locating the fault of the active power distribution network system and outputting a fault section based on the fault section location module; and
the command sending module is used for positioning a corresponding fault position and a non-fault area outside the fault section by the SCADA master station based on the fault section, and sending a removal command and a power supply recovery command, wherein the removal command is used for removing an FTU (fully called a feeder terminal device or a power distribution switch monitoring terminal, has the functions of remote control, remote measurement, remote signaling and fault detection, is communicated with a power distribution automation master station, provides the running condition of a power distribution system and various parameters and information required by monitoring and controlling, including on-off state, electric energy parameters, phase-to-phase faults, grounding faults and parameters during faults, and executes a command sent by the power distribution master station to adjust and control power distribution equipment, and realizes the functions of fault positioning, fault isolation, quick recovery power supply of the non-fault area and the like) at the fault position; the power supply recovery instruction is used for carrying out power supply recovery on the mistaken removal of the non-fault area; wherein the non-fault area is generated by an overcurrent caused by a fault in the active power distribution network system.
The invention also provides a memory storing a plurality of instructions for implementing the method according to the first embodiment.
As shown in fig. 4, the present invention further provides an electronic device, which includes a processor 301 and a memory 302 connected to the processor 301, where the memory 302 stores a plurality of instructions, and the instructions can be loaded and executed by the processor, so that the processor can execute the method according to the second embodiment.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A fault positioning method for an active power distribution network system is characterized by comprising the following steps:
s1, acquiring active power distribution network system information and transmitting the active power distribution network system information to a fault interval positioning module;
s2, positioning the fault of the active power distribution network system based on the fault section positioning module and outputting a fault section; and
s3, based on the fault section, the SCADA master station locates a corresponding fault position and a non-fault area outside the fault section, and sends a cutting instruction and a power supply recovery instruction, wherein the cutting instruction is used for cutting off the FTU at the fault position; the power supply recovery instruction is used for carrying out power supply recovery on the mistaken removal of the non-fault area; wherein the non-fault area is generated by an overcurrent caused by a fault in the active power distribution network system.
2. The method for locating the fault of the active power distribution network system as claimed in claim 1, wherein the information in the S1 comprises real-time data of FTU and SCADA master stations installed at switch nodes of the active power distribution network system.
3. The active power distribution network system fault location method of claim 1, wherein the S2 comprises:
s21, establishing an active power distribution network system fault positioning model, wherein the active power distribution network system fault positioning model comprises an active power distribution network topological structure;
s22, carrying out binary coding on the active power distribution network system network based on the active power distribution network topological structure;
s23, constructing a switching function of each switch in the active power distribution network system network and a fitness function of a fault positioning algorithm based on the binary codes, wherein the fitness function is used as an evaluation function of the fault positioning algorithm and is obtained based on the switching function;
and S24, performing fault location on the active power distribution network system by adopting a particle swarm algorithm based on the switching function and the fitness function.
4. The active power distribution network system fault location method according to claim 3, wherein the S21 establishing an active power distribution network system fault location model comprises:
(1) Distributed power supplies and energy storage devices in an active power distribution network system are used as fault current output sources, namely other power supplies are connected to a traditional power distribution network;
(2) Based on the fault current output source, performing mathematical modeling on the fault location problem of the active power distribution network system by adopting a binary coding rule to obtain a fault location model of the active power distribution network system; wherein the binary encoding rule comprises:
in the formula I r Representing the information uploaded by switch r.
5. The method for locating the fault in the active power distribution network system according to claim 4, wherein the step S22 is implemented by binary coding the active power distribution network system network based on the binary coding rule based on the topology of the active power distribution network.
6. The method as claimed in claim 5, wherein, in step S23, the switch functions of the switches in the active power distribution network system network and the fitness function of the fault location algorithm are constructed based on the binary codes, wherein the fitness function is used as an evaluation function of the fault location algorithm, and the fault location algorithm construction is obtained based on the switch functions: setting the switch as a switch r, wherein a switch function corresponding to the switch r is as the following formula (2):
in the formula:
respectively representing the switching coefficients of the power supply, wherein the value of 0 represents that the power supply is not accessed, and the value of 1 represents that the power supply is accessed;
the state information of the circuit respectively represents the state information of the circuit passing through the paths from the upstream power supply and the downstream power supply to the switch r, the state information of the circuit comprises '1' and '0', the '1' represents that the circuit has a fault, and the '0' represents that the circuit has no fault; s r (m)、s r (n) line status information indicating upper and lower half areas of the switch r, respectively; m and N respectively represent the total number of circuits of the upper half area and the lower half area, wherein M is the total number of circuits of the upper half area, and N is the total number of circuits of the lower half area;
the fitness function is shown in formula (3):
in the formula: z represents the total number of switches; i is Z Representing the actual state information value uploaded by the FTU at the switch z;
the switching function at switch Z.
7. The active power distribution network system fault location method according to claim 6, wherein the S24 comprises:
s241, initializing population parameters of the particle swarm, wherein the population parameters comprise an initial particle swarm size N, a particle dimension M and iteration times;
s242, inputting state information of an FTU or a fault indicator into the particle swarm, calculating a fitness value of each particle in the initial particle swarm based on the state information and the fitness function, and determining an initial population individual extreme value pbest and a global extreme value gbest based on the fitness value of each particle;
s243, introducing a signal function sigmoid (), a contraction factor alpha and an inertia factor omega to improve a position updating formula and a speed updating formula, and determining an individual extreme value pbest and a global extreme value gbest of a new particle swarm according to the improved position updating formula and the improved speed updating formula;
s244, judging whether the individual extreme value pbest and the global extreme value gbest meet the convergence condition, if so, determining the particle position corresponding to the current global extreme value gbest as the system fault result; otherwise, updating the speed and the position of each particle in the particle swarm to obtain a new particle swarm, repeating the steps S242 and S243, calculating the fitness value of each particle in the new particle swarm, and finding out the optimal gBest of the swarm and the optimal pBest of the individual again.
8. An active power distribution network system fault location system for implementing the active power distribution network system fault location method of any of claims 1-7, comprising:
the information acquisition and transmission module is used for acquiring the system information of the active power distribution network and transmitting the system information of the active power distribution network to the fault section positioning module;
the fault location and output module is used for locating the fault of the active power distribution network system based on the fault interval location module and outputting a fault section; and
the instruction sending module is used for positioning a corresponding fault position and a non-fault area outside the fault section by the SCADA master station based on the fault section, and sending a cutting instruction and a power supply recovery instruction, wherein the cutting instruction is used for cutting off the FTU at the fault position; the power supply recovery instruction is used for carrying out power supply recovery on the mistaken removal of the non-fault area; wherein the non-fault area is generated by overcurrent current caused by the active power distribution network system fault.
9. An electronic device comprising a processor and a memory, the memory storing a plurality of instructions, the processor configured to read the instructions and perform the method of any of claims 1-7.
10. A computer-readable storage medium storing a plurality of instructions readable by a processor and performing the method of any one of claims 1-7.
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