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

Abstract

The invention discloses a power distribution network reactive power optimization method based on an ecological niche particle swarm algorithm. The method comprises the steps of S1, building a reactive power optimization mathematical model of a power distribution network, inputting original data, and acquiring relevant parameters; S2, acquiring system node information and branch information, acquiring the number of control variables and the value range of the control variables, and acquiring parameters such as a group size of a particle swarm; S3, initializing the population and setting parameters; S4, conducting load flow calculation and obtaining the fitness value and the current individual optimum solution of particles; S5, setting parameters in a particle swarm iterative formula and adjusting; S6, subjecting each of particles in the updated particle swarm to load flow calculation, calculating the comprehensive cost of each of the particles in the swarm, and updating the historical individual extreme value pBesti and the historical neighbourhood optimum value pBestn,I; S7, determining whether a requirement of an end condition is met, and if the requirement of the end condition is met, carrying S8, otherwise, returning the S4; and 8), stopping iteration, outputting the optimum solution and achieving reactive power configuration.

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 distribution network based on a 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. The voltage quality plays an important role in ensuring the safety and stability of the power system, and the reactive power planning and reactive power balance of the power system are the basic conditions to ensure the voltage quality. 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 th...

AI Technical Summary

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.

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