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The Placement of FACTS Devices in Modern Electrical Network Using Bees Algorithm

机译：利用Bees算法将FACTS设备放置在现代电网中

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This paper presents a Bees Algorithm (BA) to seek the optimal allocation of FACTS devices in deregulated power system. The optimizations are made on three parameters: the location of the devices, their types and their sizes. The FACTS devices are located in order to enhance the available transfer capability (ATC) between source and sink area. Four types of FACTS controllers are used and modeled for steady state studies, namely; TCSC, SVC, UPFC and TCPST. Simulations are performed on an IEEE118 bus power system for single and multi-type FACTS devices. A Genetic Algorithm (GA) configured to the same purpose is used for validation. Results show the difference of efficiency of the devices used in this situation. They also show that simultaneous use of several kinds of controllers is the most efficient solution to increase the ATC. The results also indicate that a Bees Algorithm can be competently used for nonlinear optimization with faster convergence compared to GA.
机译：本文提出了一种Bees算法（BA），以寻求在失调的电力系统中FACTS设备的最佳分配。优化是在三个参数上进行的：设备的位置，它们的类型和大小。放置FACTS设备是为了增强源区和接收区之间的可用传输能力（ATC）。使用四种类型的FACTS控制器进行建模并进行稳态研究，即： TCSC，SVC，UPFC和TCPST。针对单类型和多类型FACTS设备的IEEE118总线电源系统进行了仿真。配置为相同目的的遗传算法（GA）用于验证。结果显示了在这种情况下使用的设备效率的差异。他们还表明，同时使用多种控制器是增加ATC的最有效解决方案。结果还表明，与遗传算法相比，蜜蜂算法可以胜任地用于非线性优化，并且收敛速度更快。

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