Behavioral Modeling for Microgrid Simulation

Thomas Deeter; Daisy H. Green; Stephen Kidwell; Thomas J. Kane; John S. Donnal; Katherine Vasquez; Bartholomew Sievenpiper; Steven B. Leeb

doi:10.1109/ACCESS.2021.3061891

IEEE Access (Jan 2021)

Behavioral Modeling for Microgrid Simulation

Thomas Deeter,
Daisy H. Green,
Stephen Kidwell,
Thomas J. Kane,
John S. Donnal,
Katherine Vasquez,
Bartholomew Sievenpiper,
Steven B. Leeb

Affiliations

Thomas Deeter: ORCiD; U.S. Navy, Washington, DC, USA
Daisy H. Green: ORCiD; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
Stephen Kidwell: ORCiD; U.S. Coast Guard, Washington, DC, USA
Thomas J. Kane: U.S. Coast Guard, Washington, DC, USA
John S. Donnal: ORCiD; Department of Weapons and Systems Engineering, U.S. Naval Academy, Annapolis, MD, USA
Katherine Vasquez: U.S. Navy, Washington, DC, USA
Bartholomew Sievenpiper: U.S. Navy, Washington, DC, USA
Steven B. Leeb: ORCiD; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA

DOI: https://doi.org/10.1109/ACCESS.2021.3061891
Journal volume & issue: Vol. 9
pp. 35633 – 35645

Abstract

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Trends in power system simulation that demand computationally-intensive, physics-based models may impede the acquisition of useful results for applications like condition-based maintenance, electrical plant load analysis (EPLA), and the scheduling and tasking of finite generation and distribution resources. A tool that can quickly evaluate many scenarios, as opposed to intense, high fidelity modeling of a single operating scenario, may best serve these applications. This paper presents a behavioral simulator that can quickly emulate the operation of a relatively large collection of electrical loads, providing “what-if” evaluations of various operating scenarios and conditions for more complete exploration of a design or plant operating envelope. The presented simulator can provide time-series data of power system operation under loading conditions and usage assumptions of interest. Comparisons to field data collected from a microgrid on-board a 270-foot (82 meter) US Coast Guard medium-endurance cutter demonstrate the utility of this tool and approach.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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