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Active power distribution network fault load transfer method based on intelligent particle swarm optimization algorithm

A particle swarm optimization and distribution network failure technology, applied in electrical components, emergency protection circuit devices, etc., can solve the problems of complex topology structure of distribution network, ensure the reliability of power supply, realize load transfer, and improve computing efficiency Effect

Inactive Publication Date: 2019-08-02
SOUTHEAST UNIV +1
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] With the construction and development of smart distribution network, a large number of DG access near the load side makes the distribution network topology more complex

Method used

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  • Active power distribution network fault load transfer method based on intelligent particle swarm optimization algorithm
  • Active power distribution network fault load transfer method based on intelligent particle swarm optimization algorithm
  • Active power distribution network fault load transfer method based on intelligent particle swarm optimization algorithm

Examples

Experimental program
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Embodiment 1

[0076] Example 1: see Figure 1-Figure 2 , A method for load transfer after a fault in an active distribution network based on an intelligent particle swarm optimization algorithm, the method comprising the following steps:

[0077] When a DG-containing distribution network fails, the load transfer steps are:

[0078] Step a. After the fault occurs, check whether the non-faulty power failure area contains DG. If it contains DG, determine whether it is island operation or offline operation according to its type. If island operation, go to step b, otherwise go to step d;

[0079] Step b. According to the pre-determined DG island division principle, divide the island operation range and maintain the power supply of important loads in the island;

[0080] Step c. Find the segment switch that needs to be disconnected when the DG island is formed and the location of the branch switch in the power-off area, and switch to island operation mode;

[0081] Establish a distribution network load tra...

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PUM

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Abstract

The invention discloses an active power distribution network fault load transfer method based on the intelligent particle swarm optimization algorithm. The method comprises steps that firstly, distributed generations (Distributed generations) are processed, operation modes of DG after faults are specified, the island division principle is further determined, DG island division after the faults isperformed, and an island operation range is made; and lastly, topological constraints, node voltage constraints, DG output constraints and branch capacity constraints are considered, the maximum transfer load and the minimum frequency of switching operations are taken as the optimal, and the active distribution network load transfer method based on MAPSO is proposed. The method is advantaged in that through simulation and system analysis, rapid transfer of the load in the fault area of the active distribution network can be realized quickly and effectively, and thereby power loss caused by malfunction or maintenance is reduced.

Description

Technical field [0001] The invention belongs to the field of load transfer, and particularly relates to considering node voltage, DG power, and branch capacity constraint conditions, with the goal of minimizing load loss and switching operations, and realizing load transfer to faulty areas. Background technique [0002] In recent years, with the continuous growth of my country’s national economy, the demand for electricity from all walks of life has grown rapidly. However, due to the relatively lagging urban power grid construction, problems such as the unreasonable grid structure have become more prominent, which makes it difficult to satisfy users’ demand for electricity. Requirements for quality, power supply reliability, etc. Especially due to the rise of the tertiary industry, the structure of power load has also changed. The proportion of small and medium users, including residents, has increased year by year, resulting in longer and longer lines and more nodes in the urban ...

Claims

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Application Information

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IPC IPC(8): H02H7/26
CPCH02H7/262
Inventor 戴中坚赵家庆张志昌陈中郭家昌杜璞良马子文丁宏恩田江李春余璟吴海伟赵慧王若晨
Owner SOUTHEAST UNIV
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