Multi-objective JAYA algorithm based optimal location and sizing of distributed generation in a radial distribution system

C. Venkaiah, Rohan Jain
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引用次数: 5

Abstract

In this paper, Multi-Objective Decision Making (MODM) algorithm viz. Multi-Objective JAYA (MOJAYA) algorithm has been applied for the first time to optimally locate the Distributed Generations (DG) and to choose the optimal size of DGs in a Radial Distribution System (RDS) for achieving the multiple objectives of reducing power loss, improving voltage profile and stability. In order to maximize the DG owners profits and simultaneously achieve the above cited multiple objectives, Multi-Attributes Decision Making (MADM) methods such as Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS) have been utilized. The proposed MOJAYA algorithm has been applied on IEEE 33 bus RDS and the results thus obtained has resulted in maximizing the profits to the DG owners and achieved the multiple objectives of reducing power loss, improving voltage profile and improving voltage stability of the RDS.
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基于多目标JAYA算法的径向配电系统分布式发电最优选址与规模优化
本文首次将多目标决策(MODM)算法即多目标JAYA (MOJAYA)算法应用于径向配电系统(RDS)中分布式发电机组(DG)的最优定位和DG的最优尺寸选择,以达到降低功率损耗、改善电压分布和稳定性的多重目标。为了实现DG所有者利益最大化并同时实现上述多个目标,本文采用了层次分析法(AHP)和理想解相似性偏好排序法(TOPSIS)等多属性决策方法。将所提出的MOJAYA算法应用于IEEE 33总线RDS上,得到的结果使DG owner的利益最大化,达到了降低RDS的功率损耗、改善电压分布和提高电压稳定性的多重目标。
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