Power distribution network reactive power optimization method based on gold chaotic ecological niche particle swarm algorithm

Abstract

The invention provides a power distribution network reactive power optimization method based on a gold chaotic ecological niche environment particle swarm algorithm. According to the power distribution network reactive power optimization method, particles in an initial particle swarm are divided into standard particles and chaotic particles through a golden section determination method according to a fitness value of each particle; the standard particles are relatively near a group optimal solution, speed and position update is carried out through an iteration formula in a standard particle swarm algorithm; the chaotic particles have certain distances to the group optimal solution, so chaotic mapping transformation on the chaotic particles is needed to carry out, an original searching path is not used, so the particles can fast approach the group optimal solution. The power distribution network reactive power optimization method has advantages of relatively strong global solution capability, fast calculating speed and easy application to a practical engineering.

Description

technical field [0001] The invention belongs to the technical field of electric power information, and relates to a reactive power optimization method of a power distribution network based on a golden chaotic niche particle swarm algorithm. Background technique [0002] With the development of modern science and technology, the status of electric power is becoming more and more prominent, and people's requirements for power quality are getting higher and higher, and at the same time, the safety of electric power is also receiving more and more attention. As electric energy is widely used as an energy source, energy saving and consumption reduction work is particularly important. Reactive power planning is an important part of the safe operation of the power system. It is mainly to maintain the voltage level of the power grid, improve the stability of the power grid, reduce the loss of the active network and ensure a wider operating margin. In recent years, there are more a...

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Problems solved by technology

In response to this problem, various improved particle swarm optimization algorithms have been proposed, but most of them involve prior knowledge of specific application backgrounds, which are difficult to popularize and difficult to implement. At the same time, the computational complexity has also increased a lot.

The application number is 201210269543.4, and the patent application titled "a reactive power optimization method for distribution network based on niche particle swarm optimization algorithm" discloses a reactive power optimization method for distribution network, which is based on niche particle swarm optimization algorithm and has Strong global search ability, but there are the following defects: the unfavorable influence of initialization is not considered, and the problem of invalid repeated search in the search process of particle swarm

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