Analysis of Fault Harmonic in Electrical Power System Based on Improved Particle Swarm Optimization Algorithm
[摘要] To estimate the parameters of fault harmonics in electrical power system more accurately and control the harmonic pollution, an improved Particle Swarm Optimization (PSO) algorithm is proposed. The traditional PSO algorithm has been improved, the problem of harmonic estimation is transformed into a minimum optimization problem, and the harmonic parameter optimization algorithm based on improved PSO and least square method is proposed, and corresponding simulation examples and measured data are created in matrix laboratory (MATLAB). The results show that the algorithm is not only accurate, but also has the advantages of anti-gaussian white noise and processing interharmonic. The proposed algorithm has potential application in harmonic fault analysis of electrical power system.
[发布日期] [发布机构] Chifeng Industrial Vocational and Technical College, Department of Metallurgy and Industrial Design, ChiFeng; 024000, China^1
[效力级别] 材料科学 [学科分类]
[关键词] Electrical power system;Gaussian white noise;Harmonic parameters;Improved particle swarm optimization algorithms;Least square methods;Matrix Laboratories;Optimization problems;Particle swarm optimization algorithm [时效性]
