广东电力2018，Vol.31Issue(1)：62-67,6.DOI:10.3969/j.issn.1007-290X.2018.001.012
基于改进BPSO算法的PMU优化配置新方法
New Method for PMU Configuration Based on Improved BPSO Algorithm
摘要
Abstract
The main objective of optimized configuration for phase measurement unit (PMU)is to find the minimum PMU number and location required for full observability of the power system,therefore,the paper presents a kind of improved method based on binary particle swarm optimization (BPSO)algorithm and compares this algorithm with the traditional BP-SO algorithm in IEEE standard testing system.On the basis of original BPSO algorithm,this improved method uses V-shaped threshold function to replace S-shaped threshold function and update locations of particles,and considers redundancy degree index in the fitness function as well as proposes new mutation rules to increase diversity of population.Experimental results indicate this method has improved convergence efficiency,reduced probability of algorithm results falling into local optimum and ensured redundancy degree of measurement to the full extent,which verifies accuracy and effectiveness of this algo-rithm.关键词
二进制粒子群优化算法(BPSO)/相量测量单元(PMU)/变异规则/局部最优/冗余Key words
binary particle swarm optimization/phase measurement unit/mutation rule/local optimum/redundancy分类
信息技术与安全科学引用本文复制引用
王小匆,刘亚东,盛戈皞,江秀臣,罗林根,张煊,刘宗杰..基于改进BPSO算法的PMU优化配置新方法[J].广东电力,2018,31(1):62-67,6.基金项目
国家自然科学基金项目(51707117) （51707117）
