Firmware implementation of an adaptive solar cell maximum power point tracking based on PSoC

Jwo, Wu-Shun; Tong, Chia-Chang; Chao, Chi-Jui

doi:10.1109/pvsc.2010.5616803

“…P&O based techniques are limited by a tradeoff between step size and tracking speed, exhibit poor performance under rapid changes in irradiance and stop at the first maxima, regardless of if this is the GMPP [17], [21]- [24].…”

Section: Introductionmentioning

confidence: 99%

A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions

Lyden

¹

,

Haque

²

2016

IEEE Trans. Power Electron.

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This paper proposes a Simulated Annealing based Global Maximum Power Point Tracking (GMPPT) technique designed for photovoltaic (PV) systems which experience partial shading conditions (PSC). The proposed technique is compared with the common Perturb and Observe MPPT technique and the Particle Swarm Optimization method for GMPPT. The performance is assessed by considering the time taken to converge and the number of sample cases where the technique converges to the GMPP. Simulation results indicate the improved performance of the Simulated Annealing based GMPPT algorithm, with arbitrarily selected parameters, in tracking to the global maxima in a multiple module PV system which experiences PSC. Experimental validation of the technique is presented based on PV modules that experience non-uniform environmental conditions. Additionally, studies regarding the influence of the key parameters of the SA based algorithm are described. Simulation and experimental results verify the effectiveness of the proposed GMPPT method.Index Terms-photovoltaic systems, maximum power point trackers, simulated annealing, particle swarm optimization. 0885-8993 (c)

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“…However, the technique is limited by its tradeoff between step size and tracking speed and poor performance under rapid changes in irradiance [17], [21]- [24]. Additionally, the technique will stop when it first locates a maximum, regardless of if this is the GMPP.…”

Section: Introduction (Heading 1)mentioning

confidence: 99%

Application of a Simulated Annealing technique for global maximum power point tracking of PV modules experiencing partial shading

Lyden

¹

,

Haque

²

,

Xiao

³

2014

IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society

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This paper proposes a Simulated Annealing based Global Maximum Power Point Tracking (GMPPT) technique designed for photovoltaic (PV) systems which experience partial shading conditions (PSC). The proposed technique is compared with the common Perturb and Observe MPPT technique and the Particle Swarm Optimization approach to GMPPT. The performance is assessed by considering the time taken to converge and the number of cases where the technique converges to the GMPP.Simulation results indicate the improve performance of the Simulated Annealing based GMPPT algorithm in tracking to the Global maxima in a multiple module system experiencing PSC. Keywords-photovoltaic systems, maximum power point trackers, simulated annealing, particle swarm optimizationI.

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Maximum Power Point Tracking techniques for photovoltaic systems: A comprehensive review and comparative analysis

Lyden

¹

,

Haque

²

2015

Renewable and Sustainable Energy Reviews

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Firmware implementation of an adaptive solar cell maximum power point tracking based on PSoC

Cited by 7 publications

References 14 publications

A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions

A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions

Application of a Simulated Annealing technique for global maximum power point tracking of PV modules experiencing partial shading

Maximum Power Point Tracking techniques for photovoltaic systems: A comprehensive review and comparative analysis

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