Scholarlink

<p>Modeling distributed power generation systems often requires complicated mathematical expressions that present challenges for commercial optimization solvers. This paper presents a <i>matheuristic</i> 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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 期刊论文

  • 发表日期：

    2025年11月3日

查看全文
  • James Grymes,
  • Alexandra Newman,
  • Alexander Zolan,
  • Dinesh Mehta

摘要

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.