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Behavioral Modeling for Microgrid Simulation

Authors :
Thomas Deeter
Daisy H. Green
Stephen Kidwell
Thomas J. Kane
John S. Donnal
Katherine Vasquez
Bartholomew Sievenpiper
Steven B. Leeb
Source :
IEEE Access, Vol 9, Pp 35633-35645 (2021)
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

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.

Details

Language :
English
ISSN :
21693536
Volume :
9
Database :
Directory of Open Access Journals
Journal :
IEEE Access
Publication Type :
Academic Journal
Accession number :
edsdoj.ba07be21f46af9cdc23afada06f64
Document Type :
article
Full Text :
https://doi.org/10.1109/ACCESS.2021.3061891