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Optimal power flow with IPM-APSO based hybrid method using FACTS devices for contingency surveillance

机译:使用FACTS设备的基于IPM-APSO的混合方法进行应急监视以实现最佳潮流

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This paper presents an Interior point method (IPM) and Adaptive particle swarm optimization (APSO) based hybrid method to solve the contingency constrained optimal power flow (OPF) in power systems incorporated with Flexible AC Transmission Systems (FACTS). Versatile FACTS devices TCPS (Thyristor controlled phase shifter) and Static Synchronous Series Compensator (SSSC) are considered. In the solution process APSO coupled with IPM to keep the power flows within their security limits. This Hybrid OPF algorithm with FACTS effectively relieves line flow violations under different single line contingencies. Severity Index is used as an objective function to be minimized to improve the security of the power system. The efficiency of proposed algorithm is illustrated by carrying simulation studies on IEEE 30 bus system. This analysis reveals that the proposed algorithm is quite simple and efficient for solving OPF problem.
机译:本文提出了一种基于内点法(IPM)和基于自适应粒子群优化(APSO)的混合方法,以解决与柔性交流输电系统(FACTS)结合的电力系统中的应急约束最优潮流(OPF)。考虑使用多功能FACTS设备TCPS(晶闸管控制移相器)和静态同步串联补偿器(SSSC)。在解决方案过程中,APSO与IPM耦合以将功率流保持在其安全限制内。这种带有FACTS的混合OPF算法可有效缓解不同单线意外情况下的线流冲突。严重性指数用作目标函数,应将其最小化以提高电力系统的安全性。通过在IEEE 30总线系统上进行仿真研究来说明所提出算法的效率。分析表明,该算法解决OPF问题非常简单有效。

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