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Optimal UPFC based on Genetics Algorithm to improve the steady-state performance of HELENSÄHKÖVERKKO OY 110 KV NETWORK at increasing the loading pattern

机译:基于遗传算法的最优UPFC在增加负载模式的情况下提高HELENSÄHKÖVERKKOOY 110 KV网络的稳态性能

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摘要

Flexible Alternating Current Transmission Systems (FACTS) devices represent very high efficient tools for controlling the operations and enhancing the performances of the electrical power network. Unified Power Flow Controller (UPFC) is considered as the most powerful member of the FACTS family, where it has both shunt and series controller inside its frame. This option gives to UPFC the power to control the voltage profile and the transmission lines flow simultaneously. In this paper, we use the Genetics Algorithm (GA) to find the optimal location and the optimal settings of UPFC to improve the performance of the power system specially solving the transmission lines overloading during normal operation and configuration at increasing the loading conditions. This procedure is proposed to be applied on Helsinki HELENSÄHKÖVERKKO OY 110 KV NETWORK until the operating conditions of Year 2020. To show the validity of the technique, it will be tested on the IEEE 6-bus system.
机译:柔性交流输电系统(FACTS)设备代表了非常高效的工具,可用于控制操作并增强电力网络的性能。统一潮流控制器(UPFC)被认为是FACTS系列中功能最强大的成员,在其框架内同时具有并联和串联控制器。此选项为UPFC提供功率以控制电压曲线,并且传输线同时流动。在本文中,我们使用遗传算法(GA)寻找UPFC的最佳位置和最佳设置,以改善电力系统的性能,专门解决输电线路在正常运行期间的过载和在增加负载条件下的配置。建议将该程序应用于赫尔辛基HELENSÄHKÖVERKKOOY 110 KV网络,直到2020年运行。该技术的有效性,将在IEEE 6总线系统上进行测试。

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