Creation of a Synthetic Rural Alaskan Microgrid Model

Alexis Francisco, Glen Woodworth, Audrey Eikenberry, Cathy Hou, Nasser Faarooqui, David Light, Mariko Shirazi and Phylicia Cicilio ()
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Alexis Francisco: Alaska Center for Energy and Power, University of Alaska Fairbanks, Fairbanks, AK 99775-5910, USA
Glen Woodworth: Alaska Center for Energy and Power, University of Alaska Fairbanks, Fairbanks, AK 99775-5910, USA
Audrey Eikenberry: Alaska Center for Energy and Power, University of Alaska Fairbanks, Fairbanks, AK 99775-5910, USA
Cathy Hou: Alaska Center for Energy and Power, University of Alaska Fairbanks, Fairbanks, AK 99775-5910, USA
Nasser Faarooqui: Alaska Center for Energy and Power, University of Alaska Fairbanks, Fairbanks, AK 99775-5910, USA
David Light: Alaska Center for Energy and Power, University of Alaska Fairbanks, Fairbanks, AK 99775-5910, USA
Mariko Shirazi: Alaska Center for Energy and Power, University of Alaska Fairbanks, Fairbanks, AK 99775-5910, USA
Phylicia Cicilio: Alaska Center for Energy and Power, University of Alaska Fairbanks, Fairbanks, AK 99775-5910, USA

Energies, 2025, vol. 18, issue 17, 1-18

Abstract: Power system models of electric systems are crucial in system planning for operations, economics, and expansion analyses. However, as these models contain critical infrastructure data, they are not publicly available. This poses challenges in future expansion scenarios and evaluating technological advancements in an electric grid. Synthetic models are realistic power system models, both topologically and operationally. However, since the electrical network is typically produced using statistical data and often uses machine learning, it does not contain propriety information. This allows researchers to evaluate system behavior under various operating conditions and as test cases for emerging technologies. These test cases are particularly important in highly evolving electric grids and areas of high renewable energy integration such as Alaska. Currently, no publicly available benchmark power system models of rural Alaskan island microgrids exist. This paper presents a rural Alaskan microgrid synthetic power system model and the methodology adopted to develop the model. The performance of the developed synthetic grid was assessed through steady state and positive-sequence dynamic simulations under various operating conditions.

Keywords: synthetic power grids; power system modeling; microgrids (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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