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Congestion Management in Power System Based on Optimal Load Shedding Using Grey Wolf Optimizer

机译:基于灰狼优化器的最优减载的电力系统拥塞管理

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As a result of rising the load demand, outage of any component of power system (generator, transmission line, transformer), unexpected failure in any equipment of the network all these situations lead to power system became more congest and overloaded and reach to emergency state thereby, should be there are proper management or control action for that. One of the emergency control actions is congestion management which aim to mitigate or eliminate overloading and violation in transmission power system. This paper presents proper congestion management based on optimal load using grey wolf optimizer (GWO) for minimizing load shedding, active power losses and improves voltage profile, voltage stability. The obtained results have shown that optimal load shedding is a robust control action for congestion management. The developed algorithm has applied to IEEE 30 bus system considering (N - 1) contingency. Single and multi-objectives is implemented under normal and contingency state.
机译:由于负载需求的增加,电力系统的任何组件(发电机,输电线路,变压器)的故障,网络中任何设备的意外故障,所有这些情况导致电力系统变得更加拥挤,过载并达到紧急状态因此,应该为此采取适当的管理或控制措施。紧急控制措施之一是拥塞管理,其目的在于减轻或消除输电系统中的过载和违规。本文介绍了使用灰狼优化器(GWO)基于最佳负载的适当拥塞管理,以最大程度地减少负载减少,有功功率损耗并改善电压曲线,电压稳定性。获得的结果表明,最佳的减载是用于拥塞管理的可靠控制措施。考虑到(N-1)偶发性,所开发的算法已应用于IEEE 30总线系统。单目标和多目标是在正常和偶发状态下实现的。

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