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A matheuristic for design and dispatch of a utility-connected distributed energy system

Author

Listed:
  • James Grymes

    (Colorado School of Mines)

  • Alexandra Newman

    (Colorado School of Mines)

  • Alexander Zolan

    (National Renewable Energy Laboratory)

  • Dinesh Mehta

    (Colorado School of Mines)

Abstract

Modeling distributed power generation systems often requires complicated mathematical expressions that present challenges for commercial optimization solvers. This paper presents a matheuristic to solve a mixed-integer optimization model that informs decisions regarding the design and dispatch of a utility-connected microgrid. We deploy a genetic algorithm to search the system design space and a linear program to solve the economic dispatch problem. The model is a component of a web tool that requires solutions within a few minutes. Our method yields objective function values within 5% of an exogenously produced optimal in fewer than 30 seconds for 90% of our test cases compared to only 10% of our test cases by a traditional optimization solver in the same amount of time.

Suggested Citation

  • James Grymes & Alexandra Newman & Alexander Zolan & Dinesh Mehta, 2025. "A matheuristic for design and dispatch of a utility-connected distributed energy system," Journal of Heuristics, Springer, vol. 31(4), pages 1-52, December.
    • Handle: RePEc:spr:joheur:v:31:y:2025:i:4:d:10.1007_s10732-025-09567-0
    DOI: 10.1007/s10732-025-09567-0
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