Behavioral Modeling for Microgrid Simulation

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 re...

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Veröffentlicht in:IEEE access 2021, Vol.9, p.35633-35645
Hauptverfasser: Deeter, Thomas, Green, Daisy H., Kidwell, Stephen, Kane, Thomas J., Donnal, John S., Vasquez, Katherine, Sievenpiper, Bartholomew, Leeb, Steven B.
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Sprache:eng
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Zusammenfassung: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.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2021.3061891