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Finding the optimal place and size of an energy storage system for the daily operation of microgrids considering both operation modes simultaneously

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper aims to find the optimal place and size of an energy storage system in a microgrid, considering the grid-connected mode and autonomous mode simultaneously. Energy storage systems are one of the most effective components in today's power grids to improve the power quality of power grids, therefore attracting more attention in this field. Specially, in microgirds which use various kinds of distributed generations, using energy storage systems is necessary to improve their power quality. Finding the optimal place and size of energy storage systems is a common action in microgrids. However, it should be noted that most microgrids can be operated in both of their operation modes and finding optimal place and size of an energy storage system for one of these operation modes doesn't mean that they are optimal for the other mode. This paper presents a new method to find the optimal place and size of an energy storage system for microgrids during daily operation, considering both grid-connected mode and autonomous mode simultaneously. The presented method is based on applying the AC-optimal power flow to find the optimal place and size of the energy storage system.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Power System Technology, POWERCON 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467388481
DOIs
Publication statusPublished - 22 Nov 2016
Externally publishedYes
Event2016 IEEE International Conference on Power System Technology, POWERCON 2016 - Wollongong, Australia
Duration: 28 Sep 20161 Oct 2016

Publication series

Name2016 IEEE International Conference on Power System Technology, POWERCON 2016

Conference

Conference2016 IEEE International Conference on Power System Technology, POWERCON 2016
Country/TerritoryAustralia
CityWollongong
Period28/09/161/10/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Distributed Generation
  • Energy storage System
  • Genetic Algorithm
  • Microgrids

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