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.
Original language | American English |
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Pages (from-to) | 2061-2070 |
Number of pages | 10 |
Journal | IEEE Transactions on Smart Grid |
Volume | 7 |
Issue number | 4 |
DOIs | |
State | Published - 2016 |
NREL Publication Number
- NREL/JA-5D00-66169
Keywords
- inverters
- linear approximation
- mathematical model
- optimization
- reactive power
- renewable energy sources
- scalability