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

机译:使用粒子群优化算法的压缩因子对传输功率损耗最小化的影响

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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.
机译:在本文中,以传输损失函数为问题目标,使用粒子群优化技术(PSO)对电力系统网络进行了优化。制定问题时,规定的母线电压是系统的约束条件。使用Newton Raphson方法(NR方法)并结合粒子群优化技术对IEEE-14和IEEE-30测试总线系统进行潮流研究。根据每条母线的电压和相角的结果,PSO技术比牛顿拉夫森方法提供了更准确和有效的结果。另外,为了找出线路流的最小传输功率损耗计算和针对IEEE-14和IEEE-30测试总线系统进行的损耗,粒子群优化技术产生的结果比牛顿拉夫森方法更有效。通过为两个测试系统绘制图表来显示收缩因子对收敛速度的影响。

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