2014
DOI: 10.1109/tcst.2014.2301172
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Power Optimization for Photovoltaic Microconverters Using Multivariable Newton-Based Extremum Seeking

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Cited by 67 publications
(21 citation statements)
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“…Ghaffari et al [25] have suggested Newton-based ES algorithm that concurrently uses estimates of the gradient and Hessian in the peak power tracking. The convergence rate of such a plan to the MPP was independent of the Hessian, with tunable transient presentation that is independent of environmental conditions.…”
Section: Recent Research Work: a Brief Reviewmentioning
confidence: 99%
“…Ghaffari et al [25] have suggested Newton-based ES algorithm that concurrently uses estimates of the gradient and Hessian in the peak power tracking. The convergence rate of such a plan to the MPP was independent of the Hessian, with tunable transient presentation that is independent of environmental conditions.…”
Section: Recent Research Work: a Brief Reviewmentioning
confidence: 99%
“…Due to simplicity and robust nature, PO and curve fitting techniques are widely used. MPPT techniques and algorithms have gained attention of power system researchers [70][71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87] due to its dominant advantages over conventional techniques. Table 2 shows some commonly used control strategies for PV-MPPT and EUE obtained.…”
Section: Maximum Power Point Tracking (Mppt) Strategiesmentioning
confidence: 99%
“…DC/DC power converters play a key role in various emerging applications including photovoltaic systems [1], [2], wind power systems [3], electric vehicles [4], dc micro-grids [5], etc, where a voltage, current or power regulation is required and therefore a wide variety of control techniques has been proposed in the literature to achieve the desired regulation scenario. Traditional control methods introduce a ProportionalIntegral (PI) controller designed based on the small-signal model of the converter [6], [7].…”
Section: Introductionmentioning
confidence: 99%