Scalable Optimization Methods for Distribution Networks With High PV Integration

被引:118
作者
Guggilam, Swaroop S. [1 ,2 ]
Dall'Anese, Emiliano [3 ]
Chen, Yu Christine [4 ]
Dhople, Sairaj V. [1 ,2 ]
Giannakis, Georgios B. [1 ,2 ]
机构
[1] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
[2] Univ Minnesota, Digital Technol Ctr, Minneapolis, MN 55455 USA
[3] Natl Renewable Energy Lab, Golden, CO 80401 USA
[4] Univ British Columbia, Dept Elect & Comp Engn, Vancouver, BC V6T 1Z4, Canada
基金
美国国家科学基金会;
关键词
Distribution networks; linearization; optimization; PV systems; ALTERNATING DIRECTION METHOD; PHOTOVOLTAIC INVERTERS; OPTIMAL DISPATCH; REACTIVE POWER; GRIDS;
D O I
10.1109/TSG.2016.2543264
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:2061 / 2070
页数:10
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