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A Multi-Objective Bees Algorithm for Optimum Allocation of FACTS Devices for Restructured Power System

机译:一种多目标蜜蜂算法,用于改组电力系统的事实装置的最佳分配

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In this paper, a novel multi-objective Bees Algorithm (MOBA) is used for the optimal allocation of FACTS devices in restructured power system. To enhance the available transfer capability (ATC) of power transactions between source and sink areas and minimizing the overall system cost function, which comprises of the investments costs of FACTS devices and generation cost the problem is formulated as multi-objective optimization. Three types of FACTS are simulated in this study namely Thyristor Controlled Series Compensator (TCSC), Static Var Compensator (SVC) and Thyristor Controlled Phase Shift Transformer (TCPST). An IEEE30 bus system is used to demonstrate the effectiveness of the algorithm as an optimization tool. A Non-Dominated Sorting GA-II technique configured to the same purpose is used for validation purposes. The results obtained are encouraging.
机译:本文中,新型多目标蜜蜂算法(MOBA)用于重组电力系统中的事实设备的最佳分配。为了增强源区和沉积区域之间的电力交易的可用传输能力(ATC),并最大限度地减少整体系统成本函数,该功能包括事实设备的投资成本和生成成本,问题被制定为多目标优化。在本研究中模拟了三种类型的事实,即晶闸管控制系列补偿器(TCSC),静态VAR补偿器(SVC)和晶闸管控制相移变压器(TCPST)。 IEEE30总线系统用于展示算法作为优化工具的有效性。配置为相同目的的非主导排序GA-II技术用于验证目的。获得的结果是令人鼓舞的。

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