Optimal allocation of DG and Capacitor Units Using Jellyfish Search Algorithm

Vimal Tiwari, H. Dubey, M. Pandit
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引用次数: 3

Abstract

In this paper, an efficient jellyfish search algorithm (JSA) is applied to analyze the impact of the installation of distributed generation (DG) and Capacitor Bank (CB) on the radial distribution system (RDS) with the objective is to minimize real power loss and maximize the profit. Here the cost-based analysis is carried out considering the major expenses occurred due to DG and CB units installation, their operation and maintenance cost. The JSA is a new metaheuristic approach inspired by the behaviour and movement of Jellyfish, to search for their food in the ocean. The efficacy of JSA is tested on the IEEE 33 bus RDS, and the outcome of simulation results are compared with reported results by other methods available in the literature. Comparison of results supports claiming the effectiveness of JSA over other methods in terms of both power loss minimization and maximizing profit.
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利用水母搜索算法优化DG和电容器单元的分配
本文采用高效水母搜索算法(JSA)分析了分布式发电(DG)和电容器组(CB)的安装对径向配电系统(RDS)的影响,目标是使实际功率损耗最小,利润最大化。这里进行了基于成本的分析,考虑了由于DG和CB机组安装、运行和维护成本而产生的主要费用。JSA是一种新的启发式方法,灵感来自水母的行为和运动,在海洋中寻找食物。在IEEE 33总线RDS上测试了JSA的有效性,并将仿真结果与文献中其他方法的结果进行了比较。结果的比较支持声称JSA在功率损失最小化和利润最大化方面优于其他方法的有效性。
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