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Optimal placement of Thyristor Controlled Series Compensation in power system based on Differential Evolution algorithm

机译:基于差分演进算法的电力系统晶闸管控制系列补偿的最优放置

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Flexible Alternating Current Transmission Systems (FACTS) devices plays a vital role in improving the power system performance, both the static and dynamic, and enhanced the system loading capability by rerouting the power flow in the network. However, the location of these devices in the system plays a significant role to achieve such benefits, and also due to excessive cost these devices must be located optimally. This paper presents a new evolutionary optimization technique namely Differential Evolution (DE) for finding out the optimal number, the optimal locations, and the optimal parameter settings of multiple Thyristor Controlled Series Compensator (TCSC) devices to achieve a maximum system loadability in the system with minimum installation cost of these device and compare its performance with Genetic Algorithm (GA) techniques. The voltage limits for the buses and the lines thermal limits are taken as constraints during the optimization. For validate of the proposed technique simulations are performed on IEEE 6-bus and IEEE 14-bus power systems. The obtained results show that TCSC is one of the most effective series compensation devices that can significantly increase the system loadability. Also the results indicate that DE is an easy to use, fast, and robust optimization technique compared with genetic algorithm (GA).
机译:灵活的交流传输系统(事实)设备在提高电力系统性能,静态和动态方面发挥着重要作用,并通过重新路由网络中的电力流来增强系统加载能力。然而,系统中这些设备的位置起到了重要作用以实现这种益处,并且由于过度成本,这些设备必须最佳地位于最佳状态。本文提出了一种新的进化优化技术,即用于查找最佳数量,最佳位置和多个晶闸管控制串联补偿器(TCSC)设备的最佳数量,最佳位置和最佳参数设置,以实现系统中最大系统可加载性的最佳数量(DE)。这些设备的最小安装成本并使用遗传算法(GA)技术进行比较其性能。公共汽车的电压限制和线路热限制在优化期间被视为约束。为了验证所提出的技术模拟,在IEEE 6总线和IEEE 14总线电力系统上执行。所得结果表明,TCSC是最有效的串联补偿装置之一,可以显着提高系统可加载性。结果表明,与遗传算法(GA)相比,DE是一种易于使用,快速,鲁棒的优化技术。

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