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Scalable Optimization Methods for Distribution Networks With High PV Integration.
- Source :
- IEEE Transactions on Smart Grid; Jul2016, Vol. 7 Issue 4, p2061-2070, 10p
- Publication Year :
- 2016
-
Abstract
- 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. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 19493053
- Volume :
- 7
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Smart Grid
- Publication Type :
- Academic Journal
- Accession number :
- 116318632
- Full Text :
- https://doi.org/10.1109/TSG.2016.2543264