2022
DOI: 10.1002/cta.3368
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An effective maximum power point tracking technique for partially shaded photovoltaic system under rapidly changing atmospheric conditions

Abstract: Partial shading is an unavoidable severe problem experienced by a photovoltaic system. The P‐V characteristics are highly non‐linear and exhibit multiple peaks under partial shading conditions (PSC). The conventional MPPT techniques are unable to track global maximum power point (GMPP) under PSC. Various bio‐inspired optimization methods employed for MPPT were presented in the literature. The operation of each algorithm differs from one another when tracking the GMPP. Therefore, this paper proposes a hybrid of… Show more

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Cited by 3 publications
(2 citation statements)
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“…A differential evolutionary algorithm integrated with PSO (PSO‐DV) 41 to reduce the probability of converging at the local maxima. An effective hybrid APSO‐NM 42 method is proposed to track GMPP. However, the hybrid algorithm has more tuning parameters, which makes the system more complex.…”
Section: Introductionmentioning
confidence: 99%
“…A differential evolutionary algorithm integrated with PSO (PSO‐DV) 41 to reduce the probability of converging at the local maxima. An effective hybrid APSO‐NM 42 method is proposed to track GMPP. However, the hybrid algorithm has more tuning parameters, which makes the system more complex.…”
Section: Introductionmentioning
confidence: 99%
“…The maximum power generated by the PV modules is reduced as a result of the varying environmental conditions. [ 4 ] A maximum power point tracking (MPPT) method is employed to extract power from the PV under partial shading conditions (PSC). [ 5 ] However, these methods are unable to enhance the PV power.…”
Section: Introductionmentioning
confidence: 99%