Scalable Optimization Methods for Distribution Networks With High PV Integration
Abstract
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.
- Authors:
-
- University of Minnesota, Minneapolis, MN (United States)
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- University of British Columbia, Vancouver, BC (Canada)
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE); USDOE Laboratory Directed Research and Development (LDRD) Program; National Science Foundation (NSF); University of Minnesota
- OSTI Identifier:
- 1329994
- Report Number(s):
- NREL/JA-5D00-66169
Journal ID: ISSN 1949-3053
- Grant/Contract Number:
- AC36-08GO28308; CCF 1423316; CyberSEES 1442686; ECCS-1453921; RL-0010-13
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- IEEE Transactions on Smart Grid
- Additional Journal Information:
- Journal Volume: 7; Journal Issue: 4; Journal ID: ISSN 1949-3053
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 24 POWER TRANSMISSION AND DISTRIBUTION; inverters; mathematical model; optimization; linear approximation; reactive power; renewable energy sources; scalability
Citation Formats
Guggilam, Swaroop S., Dall'Anese, Emiliano, Chen, Yu Christine, Dhople, Sairaj V., and Giannakis, Georgios B. Scalable Optimization Methods for Distribution Networks With High PV Integration. United States: N. p., 2016.
Web. doi:10.1109/tsg.2016.2543264.
Guggilam, Swaroop S., Dall'Anese, Emiliano, Chen, Yu Christine, Dhople, Sairaj V., & Giannakis, Georgios B. Scalable Optimization Methods for Distribution Networks With High PV Integration. United States. https://doi.org/10.1109/tsg.2016.2543264
Guggilam, Swaroop S., Dall'Anese, Emiliano, Chen, Yu Christine, Dhople, Sairaj V., and Giannakis, Georgios B. 2016.
"Scalable Optimization Methods for Distribution Networks With High PV Integration". United States. https://doi.org/10.1109/tsg.2016.2543264. https://www.osti.gov/servlets/purl/1329994.
@article{osti_1329994,
title = {Scalable Optimization Methods for Distribution Networks With High PV Integration},
author = {Guggilam, Swaroop S. and Dall'Anese, Emiliano and Chen, Yu Christine and Dhople, Sairaj V. and Giannakis, Georgios B.},
abstractNote = {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.},
doi = {10.1109/tsg.2016.2543264},
url = {https://www.osti.gov/biblio/1329994},
journal = {IEEE Transactions on Smart Grid},
issn = {1949-3053},
number = 4,
volume = 7,
place = {United States},
year = {Mon Apr 04 00:00:00 EDT 2016},
month = {Mon Apr 04 00:00:00 EDT 2016}
}
Web of Science
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