Segregated Linear Decision Rules for Inverter Watt-VAr Control

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Institute of Electrical and Electronics Engineers Inc.

Abstract

The modern photovoltaic inverter has an active power-reactive power (Watt-VAr) control curve that is part of its management modes. The Watt-VAr curve, whose settings can be remotely modified, regulates the inverter reactive power output in function of its active power. This paper proposes the optimization of inverter segregated linear decision rules (LDRs), starting from the legacy Volt-VAr optimization in distribution networks. As opposed to classical LDRs that are interfaced with Volt-VAr optimization, the segregated LDRs are piecewise linear continuous curves that directly satisfy the reactive power capability of inverters, and their multiple segments can capture the correlation in solar power variability. The paper presents linear programming formulations for optimizing the segregated linear decision rules using stochastic optimization, robust optimization, and distributionally robust optimization. The optimization schemes are demonstrated on both meshed and radial networks, and their performance is validated via Monte-Carlo simulation. © 1969-2012 IEEE.

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Decentralized control, Distributed power generation, Load flow control, Optimization methods, Reactive power control, Uncertainty, Voltage control, Electric inverters, Linear programming, Monte carlo methods, Piecewise linear techniques, Reactive power, Value engineering, Linear decision rules, Linear programming formulation, Meshed and radial networks, Photovoltaic inverters, Reactive power capability, Reactive power output, Robust optimization, Stochastic optimizations, Curve fitting

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