Sensor Configuring Optimization for Grid Harmonic Monitoring Based on Improved PSO Algorithm
This paper proposes an improved particle swarm optimization(PSO)algorithm to solve the sensor configuring optimization problem for the harmonic monitoring in the power grid.The model of the tested and un-tested node voltage and current is firstly set up.Then the PSO algorithm,which uses the logistic chaos method to obtain the initialized value for a better ergodic property and normalizes the existence possibility of the harmonic source based on least square fitting,is employed to calculate the best sensor installing locations and the minimum sensor numbers.The case study of East China power system has confirmed the effectiveness of the proposed method.It is shown that the proposed method requires less computing cycle indexes but meanwhile has the satisfied accuracy.The achievements obtained in this paper will be beneficial for the sensor configuring optimization for grid harmonic monitoring.
power grid sensor configring particle swarm optimization harmonic monitoring
Meng-Meng Jia Liang Chen Xiao-Dong Yuan Yu-Ling He Lu-Jia Zhao
State Grid Jiangsu Electric Power Company Research Institute,Nanjing,China Institute of Equipment Fault Diagnosis and Testing Technology,North China Electric Power University,
国际会议
重庆
英文
2296-2299
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）