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Genetic algorithm based optimal location of SVC in power system for voltage stability enhancement

机译:基于遗传算法基于SVC在电压稳定性增强电力系统中的最佳位置

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Voltage instability and voltage collapse are the foremost permanent concerns of electric utilities because of blackout event occurrences around the world. Flexible AC Transmission Systems (FACTS) has been proposed as the better alternative to overcome this, as in addition to improving voltage stability they improve system performance, reliability, quality of supply and also provide environmental benefit. The type of FACTS device and their location and setting in the system have different effect on power system. For determining that optimal location which maximises voltage stability, this paper employs Genetic Algorithm (GA) based optimisation technique. Static Var Compensator (SVC) is the FACTS device used for improving voltage stability margin. To analyze the voltage stability of power system, Continuation Power Flow (CPF) analysis is used here. The study was conducted on IEEE 14 bus and modified IEEE 30 bus test systems and the optimal locations were identified.
机译:由于世界各地的停电事件发生,电压不稳定和电压崩溃是电力公用事业的最重要的关切。柔性交流传输系统(事实)已被提出为克服此类的更好的替代方案,除了提高电压稳定性,它们还提高了系统性能,可靠性,供应质量以及提供环境效益。系统的类型及其在系统中的位置和设置对电力系统产生了不同的影响。为了确定最大化电压稳定性的最佳位置,本文采用基于遗传算法(GA)优化技术。静态VAR补偿器(SVC)是用于改善电压稳定性裕度的事实装置。为了分析电力系统的电压稳定性,这里使用延续电流(CPF)分析。该研究在IEEE 14总线上进行,并修改了IEEE 30总线测试系统,并识别了最佳位置。

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