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Stacking different services of an energy storage system in a grid-connected microgrid

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  • John, Thomas
  • Sarantakos, Ilias
  • Teo, Tiong Teck

Abstract

The objective of this paper is to develop an optimal scheduling scheme for an Energy Storage System (ESS), in a grid-connected microgrid, which is used for two main energy services, namely Operating Cost Minimization Service (OCMS) and Contracted Service (CS). OCMS refers to minimizing the overall operating cost of the microgrid. CS is a specified balancing service for the grid operator in UK to manage the actual demand when the demand is greater than forecast or generation availability. In this service, a constant contracted level of power is delivered by the ESS on instruction from the grid. A linear programming (LP) based optimization method is proposed to effectively combine these two services. Different simulation studies are conducted to test the effectiveness of the proposed method under variations in the renewable energy sources such as photovoltaic (PV) and wind in given microgrid. The proposed method is compared with a conventionally used Fuzzy Logic Control (FLC) based optimization method and is also experimentally validated. Simulation and experimental studies show that LP based optimization method can achieve a lower operating cost (up to 20%) in the microgrid and thus maximize the economic benefits of using an ESS by effectively managing different energy services.

Suggested Citation

  • John, Thomas & Sarantakos, Ilias & Teo, Tiong Teck, 2022. "Stacking different services of an energy storage system in a grid-connected microgrid," Renewable Energy, Elsevier, vol. 195(C), pages 357-365.
    • Handle: RePEc:eee:renene:v:195:y:2022:i:c:p:357-365
    DOI: 10.1016/j.renene.2022.06.035
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    References listed on IDEAS

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    Cited by:

    1. Qiu, Rui & Zhang, Haoran & Wang, Guotao & Liang, Yongtu & Yan, Jinyue, 2023. "Green hydrogen-based energy storage service via power-to-gas technologies integrated with multi-energy microgrid," Applied Energy, Elsevier, vol. 350(C).
    2. Spiliopoulos, Nikolas & Sarantakos, Ilias & Nikkhah, Saman & Gkizas, George & Giaouris, Damian & Taylor, Phil & Rajarathnam, Uma & Wade, Neal, 2022. "Peer-to-peer energy trading for improving economic and resilient operation of microgrids," Renewable Energy, Elsevier, vol. 199(C), pages 517-535.

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