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Title: 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:
 [1];  [2];  [3];  [1];  [1]
  1. University of Minnesota, Minneapolis, MN (United States)
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  3. 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}
}

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