PowerModelsDistribution.jl: An open-source framework for exploring distribution power flow formulations

•Algorithms for optimal power flow of unbalanced power (distribution) networks.•Non-linear, linear, and relaxed unbalanced power flow formulations for optimization.•Distributed Energy Resource (DER) modeling for distribution.•Open-source software implementation as a Julia package In this work we int...

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Bibliographic Details
Published in:Electric power systems research 2020-12, Vol.189 (C), p.106664, Article 106664
Main Authors: Fobes, David M., Claeys, Sander, Geth, Frederik, Coffrin, Carleton
Format: Article
Language:English
Subjects:
AC optimal power flow
Alternating current
Approximation
Conductors
Convex optimization
Electric power distribution
Electricity distribution
Energy storage
Feeders
Julia language
Mathematical models
Nonlinear optimization
Open source software
Open-source
Optimization
Power flow
Simulators
Unbalance
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Summary:•Algorithms for optimal power flow of unbalanced power (distribution) networks.•Non-linear, linear, and relaxed unbalanced power flow formulations for optimization.•Distributed Energy Resource (DER) modeling for distribution.•Open-source software implementation as a Julia package 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.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2020.106664