Behavioral Modeling for Microgrid Simulation
Name
Behavioral_Modeling_for_Microgrid_Simulation.pdf
Description
Published version
Size
2.49 MB
Format
Adobe PDF
Checksum (MD5)
4eacc12a248be7daa7c62afc99cc430b
Author(s)
Deeter, Thomas
Green, Daisy H
Kidwell, Stephen
Kane, Thomas J
Donnal, John S
Vasquez, Katherine
Sievenpiper, Bartholomew
Leeb, Steven B
Date Issued
2021
Journal
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Deeter, Thomas, Green, Daisy H, Kidwell, Stephen, Kane, Thomas J, Donnal, John S et al. 2021. "Behavioral Modeling for Microgrid Simulation." IEEE Access, 9.
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ACCESS.2021.3061891
