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Battery aging in multi-energy microgrid design using mixed integer linear programming

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  • Cardoso, Gonçalo
  • Brouhard, Thomas
  • DeForest, Nicholas
  • Wang, Dai
  • Heleno, Miguel
  • Kotzur, Leander

Abstract

This paper introduces a linear battery aging and degradation model to a multi-energy microgrid sizing model using mixed integer linear programming. The battery aging model and its integration into a larger microgrid sizing formulation are described. A case study is provided to explore the impact of considering battery aging on key results: optimal photovoltaic and storage capacities, optimal distributed energy resources operations strategies, and annual cost and generation metrics.

Suggested Citation

  • Cardoso, Gonçalo & Brouhard, Thomas & DeForest, Nicholas & Wang, Dai & Heleno, Miguel & Kotzur, Leander, 2018. "Battery aging in multi-energy microgrid design using mixed integer linear programming," Applied Energy, Elsevier, vol. 231(C), pages 1059-1069.
    • Handle: RePEc:eee:appene:v:231:y:2018:i:c:p:1059-1069
    DOI: 10.1016/j.apenergy.2018.09.185
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