Simultaneous allocation of distributed energy resource using improved particle swarm optimization

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• 作者：Neeraj Kanwar^a ; Nikhil Gupta^a ; K.R. Niazi^a ; Anil Swarnkar^a ; R.C. Bansal^b ; ^{rcbansal@ieee.org}
• 关键词：Distributed energy resources ; Distribution network reconfiguration ; Improved particle swarm optimization ; Guided search algorithm ; Smart grids
• 刊名：Applied Energy
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：185
• 期：part_P2
• 页码：1684-1693
• 全文大小：1495 K
• 卷排序：185

文摘

This paper addresses a multi-objective formulation for simultaneous allocation of DERs in RDNs to maximize annual savings. An improved particle swarm optimization is proposed to overcome inherent tendency of local trappings in PSO. A node sensitivity-based guided search algorithm (GSA) is suggested to enhance overall performance of optimizing tool. Proposed method is investigated on benchmark IEEE 33-bus and 69-bus test distribution systems. Proposed approach is useful for electric utilities to enhance profits and stagger future expansion plans.