摘要
利用相量测量单元(PMU)量测的状态估计模型,在等效电流量测变换的状态估计模型的基础上,给出了基于粒子群优化算法(PSO)的PMU配置。经算例验证,尽管在PMU测点数较少时,PSO与遗传算法(GA)的优化结果相同,但随着PMU测点数的增多,PSO优于GA,具有实用价值。
Based on state estimation model of equivalent current measurement transfer, the placement of phasor measurement units （PMU）on particle swarm optimization（PSO） is submitted. Although optimal result of PSO and genitic algorithms（GA） is same in relatively low measurement points demonstrated through calculation example but as the number of measurement points increasing of PMU, PSO is superior to GA. The results is showed that the algorithm are effective for practical use.
出处
《吉林电力》
2008年第1期5-7,15,共4页
Jilin Electric Power
