Behavioral Modeling for Microgrid Simulation

• Main Authors: Deeter, Thomas (Author), Green, Daisy H (Author), Kidwell, Stephen (Author), Kane, Thomas J (Author), Donnal, John S (Author), Vasquez, Katherine (Author), Sievenpiper, Bartholomew (Author), Leeb, Steven B (Author)
• Format: Article
• Language: English
• Published: Institute of Electrical and Electronics Engineers (IEEE), 2022-07-14T15:17:51Z.
• Subjects: Article
• Online Access: Get fulltext

 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.