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Power system static security enhancement by optimal allocation of TCSC using Real Coded GA and PSO

机译:通过使用Real Coded GA和PSO最佳分配TCSC来增强电力系统的静态安全性

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Increased transactions in emerging electric power systems often lead the network into insecure operating region. Network contingencies, especially, branch overloading and voltage violation lead to security problems. This paper illustrates an approach for determining the most suitable locations for installing thyristor controlled series capacitors to eliminate line overloads under single contingency. Using contingency severity index, the mostly affected branches are ranked. An optimization problem for finding the best locations among the ranked branches to install TCSC, and settings for the installed TCSCs, is formulated and solved. The proposed approach uses the new penalty parameter-less constraint handling scheme based Real coded Genetic Algorithm(RGA). Results are compared with Particle Swarm Optimization(PSO) algorithm. Illustrations using the IEEE 6-bus, 30-bus and 118 bus test systems aim to exhibit the effectiveness of the proposed method.
机译:新兴电力系统中交易的增加常常导致网络进入不安全的运行区域。网络突发事件,特别是分支过载和电压违规会导致安全问题。本文说明了一种方法,该方法可确定最合适的位置来安装晶闸管控制的串联电容器,以消除单个偶然情况下的线路过载。使用偶然性严重性指数,对受影响最严重的分支进行排名。提出并解决了在已排名的分支机构中寻找最佳位置以安装TCSC的优化问题以及已安装TCSC的设置的优化问题。该方法采用了基于实数编码遗传算法(RGA)的新的无惩罚参数约束约束处理方案。将结果与粒子群优化算法进行比较。使用IEEE 6总线,30总线和118总线测试系统的插图旨在展示所提出方法的有效性。

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