2018
DOI: 10.1109/jphotov.2018.2869758
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Distribution Voltage Regulation Using Extremum Seeking Control With Power Hardware-in-the-Loop

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Cited by 24 publications
(5 citation statements)
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“…Extremum seeking control (ESC) is a real-time optimization technique for multi-agent, nonlinear, and infinite-dimensional systems [33][34][35][36]. The decentralized, model free control algorithm operates by adjusting the reactive power to optimize measured outputs, in this case, feeder voltage.…”
Section: Extremum Seeking Controlmentioning
confidence: 99%
See 2 more Smart Citations
“…Extremum seeking control (ESC) is a real-time optimization technique for multi-agent, nonlinear, and infinite-dimensional systems [33][34][35][36]. The decentralized, model free control algorithm operates by adjusting the reactive power to optimize measured outputs, in this case, feeder voltage.…”
Section: Extremum Seeking Controlmentioning
confidence: 99%
“…These parameters were chosen based on prior experience with ESC simulations and laboratory demonstrations [33][34][35][36], and a systematic debugging process that considered communication latencies, DER power factor (PF) accuracies, and prior lessons learned. The sequence to implement ESC control follows:…”
Section: Extremum Seeking Control Parameter Selectionmentioning
confidence: 99%
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“…Moreover, references [23], [24] develop ES control algorithms to modulate the power injections of distributed energy resources for voltage regulation. In [25], hardware-in-the-loop experiments are conducted to verify the viability of a ES-based voltage control scheme. Despite these progresses, one major limitation of existing ES algorithms is that the constraints are not well addressed.…”
Section: Introductionmentioning
confidence: 99%
“…The work was carried out using offline simulations. A first implementation of ES control for managing PV inverters' reactive power injections was carried out by a group at Sandia National Lab [3]. In their work, a single dimension ES controller was tested in power hardware-in-the-loop (P-HIL) experiments to validate the approach.…”
Section: Introductionmentioning
confidence: 99%