Effect of constriction factor on minimization of transmission power loss using Particle Swarm Optimization

R. P. Patwardhan, S. Mhetre
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引用次数: 6

Abstract

In this paper power system network is optimized using Particle Swarm Optimization technique (PSO) considering transmission loss function as problem objective. Specified bus voltage is the system constraint while formulating the problem. Load flow study is carried out using Newton Raphson method (NR method) accompanied by Particle Swarm optimization technique for IEEE-14 and IEEE-30 test bus system. On the basis of result for voltage and phase angle at each bus, PSO technique gives more accurate and efficient result than Newton Raphson method. Also to find out minimum transmission power loss calculation for line flows and losses are carried out for IEEE-14 and IEEE-30 test bus systems, Particle Swarm Optimization technique produces more efficient result than Newton Raphson method. Effect of constriction factor on the rate of convergence, has been shown by plotting a graph for both test systems.
收缩因子对基于粒子群优化的传输功率损耗最小化的影响
本文以输电损失函数为问题目标,采用粒子群优化技术对电网进行优化。在制定问题时,指定母线电压是系统的约束条件。采用Newton Raphson法(NR法)结合粒子群优化技术对IEEE-14和IEEE-30测试母线系统进行了负荷流研究。基于各母线电压和相位角的计算结果,粒子群算法比牛顿-拉夫森方法更准确、更高效。同时,针对IEEE-14和IEEE-30测试母线系统进行了线流和损耗的最小传输功率损耗计算,粒子群优化技术的结果比牛顿-拉夫森方法更有效。收缩因子对收敛速度的影响,已通过绘制两个测试系统的图来说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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