Analysis of Fault Harmonic in Electrical Power System Based on Improved Particle Swarm Optimization Algorithm

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Zhang, Hui^1

Chifeng Industrial Vocational and Technical College, Department of Metallurgy and Industrial Design, ChiFeng

024000, China^1

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;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/3/032109/pdf
DOI  :  10.1088/1755-1315/252/3/032109

来源: IOP

【 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.