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A Multi-objective Distribution Network Fault Reconstruction Method Based on Improved Genetic Algorithm

A technology for improving genetic algorithms and distribution network faults, applied in genetic rules, calculations, genetic models, etc., can solve problems such as slow algorithm speed and explosive growth of calculation time, and achieve improved convergence and speed, good convergence and speed , the effect of short calculation time

Active Publication Date: 2022-08-02
STATE GRID JIANGSU ECONOMIC RES INST +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these methods have the problems of slow algorithm speed and explosive growth of computing time as the network scale increases.

Method used

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  • A Multi-objective Distribution Network Fault Reconstruction Method Based on Improved Genetic Algorithm
  • A Multi-objective Distribution Network Fault Reconstruction Method Based on Improved Genetic Algorithm
  • A Multi-objective Distribution Network Fault Reconstruction Method Based on Improved Genetic Algorithm

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Embodiment

[0058] like figure 1 As shown, the flow chart of the multi-objective distribution network fault reconstruction method based on the improved genetic algorithm of the present embodiment, the method includes the following steps:

[0059] Step 1: Obtain the data of the distribution network system, including the topology structure of the network, the impedance Z of each branch, the active load P and the reactive load Q of each node;

[0060] Step 2: Establish a multi-objective reconstruction function according to the data of the distribution network system, taking the minimum network loss after reconstruction and the minimum number of switching actions of the reconstruction scheme as the optimization objectives;

[0061] The establishment process of the multi-objective reconstruction function is as follows:

[0062] (1) A function is established with the goal of minimizing the network loss to obtain

[0063]

[0064] In the formula, ΔP is the network loss after reconstruction,...

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Abstract

The invention relates to a multi-objective distribution network fault reconstruction method based on an improved genetic algorithm. On the basis of the basic genetic algorithm, the method introduces an elite retention algorithm and a parameter self-adaptive mechanism for the problems of poor convergence and parameter selection of results. , form an adaptive genetic algorithm reserved by elites, and solve the fault recovery model of the distribution network through the algorithm, and use the forward-backward generation power flow method to calculate and solve the loss of the distribution network network; the method of the present invention is used in the problem of distribution network reconstruction. It shows good convergence and accuracy, effectively improves the speed of solving large-scale network reconfiguration problems, and can provide a useful reference for the optimal configuration and load transfer of the actual power grid.

Description

technical field [0001] The invention belongs to a distribution network fault recovery technology, in particular to a multi-objective distribution network fault reconstruction method based on an improved genetic algorithm. Background technique [0002] Distribution network refers to the power grid in the power system that accepts electricity from the power generation side and distributes the electricity to various power-consuming areas, and undertakes the heavy responsibility of directly connecting with users. With the development level of my country's distribution network getting higher and higher, the scale of the distribution network is expanding, followed by an increase in distribution network failures due to natural disasters, unreasonable network operation modes and other reasons. The distribution network plays an important role in the transmission and distribution of electrical energy to users in the power production process. Timely, accurate and efficient restoration ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/06G06N3/12
CPCG06Q10/04G06Q50/06G06N3/126
Inventor 韩俊王翰林蔡超周子豪蒋浩樊安洁潘文婕王娜袁晓昀
Owner STATE GRID JIANGSU ECONOMIC RES INST