Improved binary particle swarm optimization algorithm-based power distribution network reconfiguration method

A technology of particle swarm optimization and distribution network reconfiguration, applied in calculation, calculation model, electrical components, etc., can solve problems such as endangering network stability and large network loss, and achieve fast calculation speed, reduced number of iterations, and convergence Good results
CN106300344AInactive Publication Date: 2017-01-04NANJING INST OF TECH
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING INST OF TECH
Publication Date
2017-01-04
Estimated Expiration
Not applicable ยท inactive patent

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Abstract

The invention discloses an improved binary particle swarm optimization algorithm-based power distribution network reconfiguration method. According to the method, load equalization is adopted as an objective; a power distribution network reconfiguration problem is expressed as a nonlinear optimization problem with minimizing a load equalization index as an objective function; the topological structure model of a power distribution network is simplified according to the structure features of the open-loop operation of the power distribution network; a binary particle swarm optimization algorithm is improved; and therefore, the radial structure of the power distribution network can be ensured, at the same time, the number of iterations is greatly reduced. With the method of the invention adopted, a power distribution network reconfiguration problem in load equalization can be effectively solved. The method has fast calculation speed and excellent convergence.
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Description

technical field

[0001] The invention relates to a distribution network reconfiguration method based on an improved binary particle swarm optimization algorithm, and belongs to the technical field of distribution network reconfiguration. Background technique

[0002] The balance of distribution network load is of great significance to reduce network loss and improve network stability and reliability. A network with unbalanced load not only has a large loss, but may even endanger the stability of the entire network. The distribution network is composed of a radial feeder system, and a section switch and a tie switch are installed on the feeder. By changing the state of the switch to change the network structure, the system can operate more flexibly, safely and economically. At present, scholars have used mathematical programming, genetic algorithm (Genetic Algorithm, GA), simulated annealing method, etc. to study the distribution network reconfiguration problem aimed at redu...

Claims

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