Microgrid Planner: An Open-Source Software Platform

Daniel Reich () and Leah Frye ()
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Daniel Reich: Department of Operations Research, Naval Postgraduate School, Monterey, California 93955
Leah Frye: Extended Campus, Naval Postgraduate School, Monterey, California 93955

INFORMS Journal on Computing, 2025, vol. 37, issue 3, 503-515

Abstract: We introduce an open-source software platform for developing microgrid planning tools. Our platform is composed of a computational layer developed in Python; a MySQL database layer; a REST API developed in Flask; a web app front end developed in Flask, HTML templates, and JavaScript; containerized deployment through Docker; and high-performance computing integration using Slurm. Our base capabilities include user accounts with authentication, user-defined distributed energy resource components and microgrids, user uploads of power load data, a core simulation method, and a microgrid sizing method. These capabilities are all integrated into a user-friendly web application, which is designed to be customized and extended. Whereas our platform already includes a useful set of microgrid planning tools, our vision is for it to bridge the active academic analytical modeling research for microgrid planning into deployable software tools that can be readily used by practitioners. In addition to describing our current capabilities, this paper details how our platform design facilitates easy adoption by other researchers developing analytical methods for microgrid planning.

Keywords: microgrid; open-source software; web application; simulation; decision support system (search for similar items in EconPapers)
Date: 2025
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