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A bfoa-based fault location algorithm and device

A fault location and algorithm technology, applied to fault locations, measuring devices, instruments, etc., can solve problems such as insufficient positioning accuracy

Active Publication Date: 2019-05-10
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a BFOA-based fault location algorithm and device, which solves the problem of insufficient positioning accuracy when the distribution network performs fault location based on the fault information reported by the distribution equipment in the prior art

Method used

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  • A bfoa-based fault location algorithm and device
  • A bfoa-based fault location algorithm and device
  • A bfoa-based fault location algorithm and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0104] Embodiment 1. The embodiment of the present invention provides a fault location algorithm based on BFOA, such as figure 1 Shown include:

[0105] S101. Obtain fault information reported by i power distribution equipment in the preset distribution network section, where i represents the total number of power distribution equipment in the preset distribution network section and i is an integer greater than 0.

[0106] S102. Perform a trend operation on the fault information of the nth power distribution device according to the BFOA.

[0107] S103. When the number of trend operations j of the fault information of the nth power distribution equipment is greater than or equal to the first test parameter N c When , copy the fault information of the nth power distribution equipment according to BFOA, where N c Indicates the number of times that the fault information of the power distribution equipment performs directional behavior, n∈(1,i), n is an integer.

[0108] S104. W...

Embodiment 2

[0110] Embodiment 2. The embodiment of the present invention provides a fault location algorithm based on BFOA, such as figure 1 Shown include:

[0111] S101. Obtain fault information reported by i power distribution equipment in the preset distribution network section, where i represents the total number of power distribution equipment in the preset distribution network section and i is an integer greater than 0.

[0112] S102. Perform a trend operation on the fault information of the nth power distribution device according to the BFOA.

[0113] S103. When the number of trend operations j of the fault information of the nth power distribution equipment is greater than or equal to the first test parameter N c When , copy the fault information of the nth power distribution equipment according to BFOA, where N c Indicates the number of times that the fault information of the power distribution equipment performs directional behavior, n∈(1,i), n is an integer.

[0114] Specifi...

Embodiment 3

[0152] Embodiment three, the embodiment of the present invention provides a kind of fault localization algorithm based on BFOA in actual application and standard test function Ackley algorithm basic particle swarm algorithm (full name in English: Particle Swarm Optimization, abbreviation: PSO) and genetic algorithm (full name in English: Genetic Algorithm, referred to as: GA) performance difference comparison, such as figure 2 , image 3 , Figure 4 , Figure 5 as well as Figure 6 Shown include:

[0153] (1) Algorithm convergence

[0154] The Ackley function expression is as follows:

[0155]

[0156] Its global optimum is x * =(0,…,0), the theoretical optimal value is f(x * )=0, the threshold of acceptable solution is 0.1, and the search area is x i ∈ [-32,32]. Ackley function is a multimodal function with a large number of local extremum points, and general optimization algorithms tend to fall into local extremum points. The parameters of the three algorithms ...

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Abstract

The invention provides a fault positioning algorithm based on a BFOA and an apparatus thereof and relates to the power distribution network fault positioning technology field. In the prior art, when a power distribution network reports fault information based on power distribution equipment and carries out fault positioning, positioning precision is not enough. By using the algorithm and the apparatus of the invention, the above problem is solved. The method comprises the following steps of acquiring fault information reported by i power distribution equipment in a preset power distribution network section; according to the BFOA, carrying out tendency operation on the fault information of nth power distribution equipment, and when a tendency operation frequency j of the fault information of the nth power distribution equipment is greater than or equal to a first test parameter Nc, according to the BFOA, carrying out copy operation on the fault information of the nth power distribution equipment; and when a copy operation frequency k of the fault information of the nth power distribution equipment is greater than or equal to a second preset parameter Nre, according to the BFOA, carrying out migration operation on the fault information of the nth power distribution equipment, and outputting an optimal solution of the fault information of the nth power distribution equipment. The embodiments of the invention are used for positioning a power distribution network fault.

Description

technical field [0001] The present invention relates to the technical field of distribution network fault location, in particular to a fault location algorithm and device based on an improved bacterial foraging algorithm (English full name: Bacteria Foraging Optimization Algorithm, abbreviated: BFOA). Background technique [0002] Distribution automation is an important means to improve the intelligence and self-healing of distribution network operation, and it is of great significance to improve the reliability of power supply. When a fault occurs in the distribution network, the relevant power distribution equipment will upload real-time information to the control center, and the fault zone positioning software of the control center will locate the fault of the power distribution equipment according to the information uploaded in real time by the power distribution equipment, so the control center According to the location of the faulty power distribution equipment located...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/08
CPCG01R31/088Y04S10/52
Inventor 吴争荣董旭柱陆锋刘志文陶文伟谢雄威陈立明何锡祺俞小勇陈根军禤亮苏颜李瑾陶凯
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
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