Journal
ELECTRIC POWER SYSTEMS RESEARCH
Volume 189, Issue -, Pages -Publisher
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2020.106664
Keywords
Nonlinear optimization; Convex optimization; AC optimal power flow; Julia language; Open-source
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Funding
- U.S. Department of Energy's (DOE) Office of Electricity (OE)
- U.S. Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE) as part of the CleanStart-DERMS project of the Grid Modernization Laboratory Consortium
- U.S. Department of Energy through the Los Alamos National Laboratory LDRD Program
- U.S. Department of Energy through the Center for Nonlinear Studies
- Research Foundation Flanders (FWO) [1S82518N]
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In this work we introduce PowerModelsDistribution, a free, open-source toolkit for distribution power network optimization, whose primary focus is establishing a baseline implementation of steady-state multi-conductor unbalanced distribution network optimization problems, which includes implementations of Power Flow and Optimal Power Flow problem types. Currently implemented power flow formulations for these problem types include AC (polar and rectangular), a second-order conic relaxation of the Branch Flow Model (BFM) and Bus Injection Model (BIM), a semi-definite relaxation of BFM, and several linear approximations, such as the simplified unbalanced BFM. The results of AC power flow have been validated against OpenDSS, an open-source electric power distribution system simulator, using IEEE distribution test feeders (13, 34, 123 bus and LVTestCase), all parsed using a built-in OpenDSS parser. This includes support for standard distribution system components as well as novel resource models such as generic energy storage (multi-period) and photovoltaic systems, with the intention to add support for additional components in the future.
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