Scalable Optimization Methods for Distribution Networks With High PV Integration

Guggilam, Swaroop S.; Dall'Anese, Emiliano; Chen, Yu Christine; Dhople, Sairaj V.; Giannakis, Georgios B.

doi:10.1109/tsg.2016.2543264

Scalable Optimization Methods for Distribution Networks With High PV Integration

Journal Article · Mon Apr 04 00:00:00 EDT 2016 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/tsg.2016.2543264· OSTI ID:1329994

Guggilam, Swaroop S. ^[1]; Dall'Anese, Emiliano ^[2]; Chen, Yu Christine ^[3]; Dhople, Sairaj V. ^[1]; Giannakis, Georgios B. ^[1]

University of Minnesota, Minneapolis, MN (United States)
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
University of British Columbia, Vancouver, BC (Canada)

Here this paper proposes a suite of algorithms to determine the active- and reactive-power setpoints for photovoltaic (PV) inverters in distribution networks. The objective is to optimize the operation of the distribution feeder according to a variety of performance objectives and ensure voltage regulation. In general, these algorithms take a form of the widely studied ac optimal power flow (OPF) problem. For the envisioned application domain, nonlinear power-flow constraints render pertinent OPF problems nonconvex and computationally intensive for large systems. To address these concerns, we formulate a quadratic constrained quadratic program (QCQP) by leveraging a linear approximation of the algebraic power-flow equations. Furthermore, simplification from QCQP to a linearly constrained quadratic program is provided under certain conditions. The merits of the proposed approach are demonstrated with simulation results that utilize realistic PV-generation and load-profile data for illustrative distribution-system test feeders.

View Accepted Manuscript (DOE)

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: National Science Foundation (NSF); USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Energy Efficiency and Renewable Energy (EERE); University of Minnesota

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1329994

Report Number(s):: NREL/JA--5D00-66169

Journal Information:: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 4 Vol. 7; ISSN 1949-3053

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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24 POWER TRANSMISSION AND DISTRIBUTION
inverters
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mathematical model
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Scalable Optimization Methods for Distribution Networks With High PV Integration

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References (34)

Figures / Tables (9)

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