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On the Distributed Energy Storage Investment and Operations

Author

Listed:
  • Owen Q. Wu

    (Kelley School of Business, Indiana University, Bloomington, Indiana 47405)

  • Roman Kapuscinski

    (Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109)

  • Santhosh Suresh

    (PayPal Holdings, San Jose, California 95131)

Abstract

Problem definition : Energy storage has become an indispensable part of power distribution systems, necessitating prudent investment decisions. We analyze an energy storage facility location problem and compare the benefits of centralized storage (adjacent to a central energy generation site) versus distributed storage (localized at demand sites). This problem encompasses optimizing storage capacities across all locations, with the objective of minimizing the total storage investment and energy generation costs. Methodology/results : We employ a stylized model that captures essential features of an energy distribution system, including convex costs, stochastic demand, storage efficiency, and line losses. Using dynamic programming, we optimize storage operations and derive value function properties that are key to analyzing the storage investment decisions. We discern fundamental differences between centralization/localization decisions at the capacity investment stage and the centralization/localization decisions at the storage operations level. Operationally, centrally stored energy offers more flexibility, which is consistent with the conventional understanding of inventory pooling. However, we find that localized storage often emerges as the preferred option at the investment stage under various circumstances. Managerial implications : Storage investment should first be made at the demand locations with positive minimum demand regardless of the level of demand variability. Subsequent storage investment should consider the tradeoffs between centralized versus localized investment. Operationally, the relative magnitudes of storage and line losses drive different optimal storage policies. Despite the differences, these policies are guided by common principles such as pooling inventory and balancing local storage levels.

Suggested Citation

  • Owen Q. Wu & Roman Kapuscinski & Santhosh Suresh, 2023. "On the Distributed Energy Storage Investment and Operations," Manufacturing & Service Operations Management, INFORMS, vol. 25(6), pages 2277-2297, November.
    • Handle: RePEc:inm:ormsom:v:25:y:2023:i:6:p:2277-2297
    DOI: 10.1287/msom.2020.0652
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    References listed on IDEAS

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    3. Rui Huang & Qinglong Gou & Juzhi Zhang, 2026. "Participation of Variable Renewable Generators in Forward Markets: A Game-Theoretic Analysis," The Energy Journal, , vol. 47(1), pages 165-192, January.

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