Moth Search Optimization for Optimal Integration of DERs for Annual Energy Loss Minimization in Distribution Systems

Pushpendra Singh, S. K. Bishnoi, Nand K. Meena

Research output: Chapter in Book/Published conference outputConference publication

Abstract

This paper is introduced a new optimization technique, i.e. Moth Search Optimization (MSO), to solve optimal Distributed Energy Resources (DERs) integration problems of distribution systems. An optimal DER integration problem is formulated for annual energy loss minimization considering multiple distributed generations and shunt capacitors simultaneously. In order to validate the proposed MSO, initially, optimal allocation of DGs are obtained for power loss minimization of benchmark 33-bus test distribution system and simulation results are compared with well-established optimization techniques. The optimal DER allocation is also determined for minimization of annual energy loss in conjuration to node voltage deviation over three different load levels. The simulation results obtained are further compared with some of the existing optimization methods. The two-level comparison of optimization methods shows that MSO method has better searching ability to determine optimal solutions for optimal DER allocation problems of distribution systems.

Original languageEnglish
Title of host publication8th IEEE India International Conference on Power Electronics, IICPE 2018
PublisherIEEE
Volume2018-December
ISBN (Electronic)9781538649961
DOIs
Publication statusPublished - 7 May 2019
Event8th IEEE India International Conference on Power Electronics, IICPE 2018 - Jaipur, India
Duration: 13 Dec 201815 Dec 2018

Conference

Conference8th IEEE India International Conference on Power Electronics, IICPE 2018
Country/TerritoryIndia
CityJaipur
Period13/12/1815/12/18

Keywords

  • Annual energy loss
  • Distributed generations
  • Distribution systems
  • Moth search optimization

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