Optimal Distributed Feedback Voltage Control under Limited Reactive Power
arXiv:1810.11121 · doi:10.1109/TPWRS.2019.2931685
Abstract
In this paper, we propose a distributed voltage control in power distribution networks through reactive power compensation. The proposed control can (i) operate in a distributed fashion where each bus makes its decision based on local voltage measurements and communication with neighboring buses, (ii) always satisfy the reactive power capacity constraint, (iii) drive the voltage magnitude into an acceptable range, and (iv) minimize an operational cost. We also perform various numerical case studies to demonstrate the effectiveness and robustness of the controller using the nonlinear power flow model.
arXiv comment32 pages, 10 figures; Accepted to IEEE Transactions on Power Systems. \c{opyright} 2019 IEEE
References in corpus (7)
- Convex Relaxation of Optimal Power Flow, Part I: Formulations and Equivalence
- Options for Control of Reactive Power by Distributed Photovoltaic Generators
- Distributed Optimal Power Flow for Smart Microgrids
- Harnessing Smoothness to Accelerate Distributed Optimization
- Optimal Distributed Control of Reactive Power via the Alternating Direction Method of Multipliers
- Distributed reactive power feedback control for voltage regulation and loss minimization
- A Local Control Approach to Voltage Regulation in Distribution Networks
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