Optimal Scheduling of a Battery-Based Energy Storage System for a Microgrid with High Penetration of Renewable Sources

Jeremy Dulout, Adriana Carolina Luna Hernández, Amjad Anvari-Moghaddam, Corinne Alonso, Josep M. Guerrero, Bruno Jammes

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

A new scheduling method is proposed to manage efficiently the integration of renewable sources in microgrids (MGs) with energy storage systems (ESSs). The purpose of this work is to take into account the main stress factors influencing the ageing mechanisms of a battery energy storage system (BESS) in order to make an optimal dispatch of resources in the microgrid and enhance the storage system lifetime while minimizing the cost of electric consumption. The load demand and generation profiles are derived from the analysis of consumption and renewable production (solar photovoltaic sources and wind turbines) of the Western Denmark electric grid. Thus, the proposed microgrid is mainly fed by renewable sources and few electricity is coming from the main grid (which helps operating costs minimization). In this respect, a cost analysis is performed to find the optimal hourly power output of the BESS as well as the purchased electricity from the utility.
Original languageEnglish
Title of host publicationProceedings of ELECTRIMACS 2017
PublisherIMACS
Publication dateJul 2017
Pages1-6
Publication statusPublished - Jul 2017
EventELECTRIMACS 2017 - Toulouse, France
Duration: 4 Jul 20176 Jul 2017
http://www.electrimacs2017.fr/

Conference

ConferenceELECTRIMACS 2017
Country/TerritoryFrance
CityToulouse
Period04/07/201706/07/2017
Internet address

Keywords

  • Battery Management System
  • Energy Storage System
  • Microgrid
  • Optimal scheduling
  • Wind and solar photovoltaic sources

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