2016 7th Power Electronics and Drive Systems Technologies Conference (PEDSTC) 2016
DOI: 10.1109/pedstc.2016.7556902
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A new hybrid method of MPPT for photovoltaic systems based on FLC and three point-weight methods

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Cited by 7 publications
(4 citation statements)
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“…The duty-cycle is increased if two of the points are positively weighted, is decreased if negative. The closest point to MPP is reached when the total weight is zero [3]. In Fig.…”
Section: Three-point Weight Comparison (Tpwc)mentioning
confidence: 94%
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“…The duty-cycle is increased if two of the points are positively weighted, is decreased if negative. The closest point to MPP is reached when the total weight is zero [3]. In Fig.…”
Section: Three-point Weight Comparison (Tpwc)mentioning
confidence: 94%
“…In addition to all these advantages, it also has disadvantages such as low efficiency, especially in energy conversion, and high setup cost. Numerous studies are carried out in order to obtain maximum efficiency from photovoltaic (PV) panels [2][3][4].…”
mentioning
confidence: 99%
“…Therefore, it is essential to employ an MPPT algorithm to capture the MPP and ensure high efficiency in solar power generation systems. Traditional MPPT algorithms include the open-circuit voltage method, short-circuit current method, hill-climbing (HC) algorithm, P&O method, and three-point weight method [27][28][29][30][31]. The advantages of these methods are their simplicity, ease of implementation, and cost-effectiveness.…”
Section: Traditional Maximum Power Point Tracking Algorithmmentioning
confidence: 99%
“…The research is focussed on improving the convergence rate by developing modified evolutionary computing algorithms. Also, the hybrid algorithms are developed on improving the convergence speed such as hybrid MPPT based on WO (Premkumar and Sumithira, 2018), hybrid MPPT based on GWO (Mohanty et al , 2016), hybrid MPPT based on ANN (Huang et al , 2019), hybrid MPPT based on FLC (Bahrami et al , 2016), hybrid Jaya MPPT (Huang et al , 2017), hybrid MPPT based on modified P&O (Zhang et al , 2019) and hybrid MPPT based on enhanced leader particle swarm optimization (ELPSO) (Ram et al , 2020). The P&O, GWO are combined to get high efficiency during large variations of irradiations from the Sun.…”
Section: Introductionmentioning
confidence: 99%