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...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2022
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| Online Access: | https://hdl.handle.net/1721.1/143737 |
| _version_ | 1826200247890608128 |
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| author | Deeter, Thomas Green, Daisy H Kidwell, Stephen Kane, Thomas J Donnal, John S Vasquez, Katherine Sievenpiper, Bartholomew Leeb, Steven B |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Deeter, Thomas Green, Daisy H Kidwell, Stephen Kane, Thomas J Donnal, John S Vasquez, Katherine Sievenpiper, Bartholomew Leeb, Steven B |
| author_sort | Deeter, Thomas |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:33:28Z |
| format | Article |
| id | mit-1721.1/143737 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T11:33:28Z |
| publishDate | 2022 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1437372023-02-08T19:40:21Z Behavioral Modeling for Microgrid Simulation Deeter, Thomas Green, Daisy H Kidwell, Stephen Kane, Thomas J Donnal, John S Vasquez, Katherine Sievenpiper, Bartholomew Leeb, Steven B Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 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. 2022-07-14T15:17:51Z 2022-07-14T15:17:51Z 2021 2022-07-14T15:13:22Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/143737 Deeter, Thomas, Green, Daisy H, Kidwell, Stephen, Kane, Thomas J, Donnal, John S et al. 2021. "Behavioral Modeling for Microgrid Simulation." IEEE Access, 9. en 10.1109/ACCESS.2021.3061891 IEEE Access Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE |
| spellingShingle | Deeter, Thomas Green, Daisy H Kidwell, Stephen Kane, Thomas J Donnal, John S Vasquez, Katherine Sievenpiper, Bartholomew Leeb, Steven B Behavioral Modeling for Microgrid Simulation |
| title | Behavioral Modeling for Microgrid Simulation |
| title_full | Behavioral Modeling for Microgrid Simulation |
| title_fullStr | Behavioral Modeling for Microgrid Simulation |
| title_full_unstemmed | Behavioral Modeling for Microgrid Simulation |
| title_short | Behavioral Modeling for Microgrid Simulation |
| title_sort | behavioral modeling for microgrid simulation |
| url | https://hdl.handle.net/1721.1/143737 |
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