Optimal scheduling of a battery-based energy storage system for a microgrid with high penetration of renewable sources

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.
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Conference papers
ELECTRIMACS 2017, Jul 2017, Toulouse, France. 6p., 〈http://www.electrimacs2017.fr/〉
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Submitted on : Thursday, July 6, 2017 - 11:26:36 PM
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Jérémy Dulout, Adriana Luna, Amjad Anvari-Moghaddam, Corinne Alonso, Josep Guerrero, et al.. Optimal scheduling of a battery-based energy storage system for a microgrid with high penetration of renewable sources. ELECTRIMACS 2017, Jul 2017, Toulouse, France. 6p., 〈http://www.electrimacs2017.fr/〉. 〈hal-01533070〉

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