【摘要】 提出一种采用粒子群优化技术,以系统载荷能力最大化及安装费用最小化为目标,确定TCSC最佳安装位置的方法。该方法的数学模型以线路潮流和节点电压限制作为约束条件,从而提高了结果的准确性和实用性。最后在IEEE 6节点系统中成功地应用该方法。结果表明,PSO算法求得的系统最大载荷能力较原状态提高了14%,并且与遗传算法GA相比,其具有较强的全局搜索能力和较高的收敛精度,是寻找TCSC最佳安装位置的有效方法。更多还原

【Abstract】 The particle swarm optimization(PSO) technique is applied to find the optimal location of TCSC with maximum system load ability and minimum cost of installation of TCSC.In the mathematical model of the method,line flowlimits andbus voltage limitsare takenasconstraints to obtain moreprecise results.This algorithm is applied to IEEE 6-bus system.Results show that the maximum system load ability increases nearly by 14%.Compared with the GA algorithm,the PSO algorithm has the better search capability and higher degree of convergence for finding the optimal location of TCSC.更多还原