Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 190, Issue -, Pages -Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2020.106736
Keywords
Power system restoration; N-k; Nonlinear optimization; Convex optimization; AC power flow; Julia language; Open-source
Categories
Funding
- U.S. Department of Energys (DOE) Office of Electricity as part of the CleanStart-DERMS project of the Grid Modernization Laboratory Consortium
- U.S. Department of Energys (DOE) Office of Energy Efficiency and Renewable Energy as part of the CleanStart-DERMS project of the Grid Modernization Laboratory Consortium
- MACSER project - U.S. Department of Energys (DOE) Office of Science
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This work introduces an open-source software framework, PowerModelsRestoration, for designing and testing power restoration algorithms, demonstrating its effectiveness through proof-of-concept studies on established cases.
With the escalating frequency of extreme grid disturbances, such as natural disasters, comes an increasing need for efficient recovery plans. Algorithms for optimal power restoration play an important role in developing such plans, but also give rise to challenging mixed-integer nonlinear optimization problems, where tractable solution methods are not yet available. To assist in research on such solution methods, this work proposes PowerModelsRestoration, a flexible, open-source software framework for rapidly designing and testing power restoration algorithms. PowerModelsRestoration constructs a mathematical modeling layer for formalizing core restoration tasks that can be combined to develop complex workflows and high performance heuristics. The efficacy of the proposed framework is demonstrated by proof-of-concept studies on three established cases from the literature, focusing on single-phase positive sequence network models. The results demonstrate that PowerModelsRestoration reproduces the established literature, and for the first time provide an analysis of restoration with nonlinear power flow models, which have not been previously considered.
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