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

机译:收缩因子对使用粒子群优化的传输功率损失最小化的影响

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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,使用粒子群优化技术(PSO)优化了考虑传输丢失功能作为问题目标的优化。指定的总线电压是制定问题的同时系统约束。负载流程研究使用牛顿Raphson方法(NR方法)进行IEEE-14和IEEE-30测试总线系统的粒子群优化技术。在每个总线的电压和相位角的结果的基础上,PSO技术提供比牛顿Raphson方法更准确和有效的结果。另外找出最小传输功率损耗计算线流量和损耗对于IEEE-14和IEEE-30测试总线系统,粒子群优化技术比牛顿Raphson方法产生更有效的结果。通过对两个测试系统绘制曲线图,已经示出了收敛因子对收敛速率的影响。

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