Application of Economic Load Distribution of Power System Based on BAS-PSO

Abstract

Beetle Antennae Search (BAS) is a h euristic algorithm proposed in 2017. BAS is the bionic optimization algorithm. The principle comes from the fact that Tianniu finds food by sensing the direction of flight by sensing the strength of the smell emitted by the left and right. The BAS algorithm has better optimization speed and precision when solving low-dimensional problems. However, it is easy to fall into local optimum when solving high-dimensional problems. For the purpose of the better search ability of BAS, we h ave combined particle swarm optimization (PSO) algorithm and proposed a new hybrid BAS and PSO algorithm (BAS-PSO).In BASPSO, First use the standard PSO for particle position update and velocity update.Particle learning ontology information and group optimal individual information for evolution, then the particles are seen as individual beetles to use BAS. Each beetle individual performs a local search and continues to cycle until it finds the optimal value.In this paper, the design simulation experiment is applied to the problem of economic load dispatching (ELD) allocation.By comparing the optimization results of BAS-PSO with the three types of algorithms, the results suggest that the BAS-PSO algorithm is better in the ELD optimization problem.