Moth Search Optimization for Optimal DERs Integration in Conjunction to OLTC Tap Operations in Distribution Systems

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

Research output: Contribution to journalArticle

Abstract

In this paper, a newly developed moth search optimization (MSO) technique is introduced to solve the complex distributed energy resources (DER) integration problems of distribution systems. In order to overcome some of the limitations observed in the standard variant of MSO, minor corrections are also suggested. On the other hand, a new optimization problem is formulated for optimal deployment of dispatchable distributed generations and shunt capacitors while simultaneously optimizing the tap positions of on-load tap-changing transformers, already deployed in grid substations. The objective of this work is to minimize the cost of annual energy loss and node voltage deviations over multiple load levels. The proposed model is implemented and solved for two benchmark test distribution networks of 33 and 118 buses. The suggested corrections are also validated by comparing the performance of the proposed approach with standard MSO and other available optimization methods. The simulation results show that the developed model optimally utilizes the existing distribution system resources and generates higher deployment benefits at lesser DER penetration as compared to the planning model which ignores these resources.

Original languageEnglish
Article number8707105
Pages (from-to)880-888
Number of pages9
JournalIEEE Systems Journal
Volume14
Issue number1
Early online date6 May 2019
DOIs
Publication statusPublished - Mar 2020

Bibliographical note

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Keywords

  • Distributed energy resources
  • distributed generation
  • distribution system
  • moth search optimization
  • on load tap changer
  • planning

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