Author
P.K. Singh
Bio: P.K. Singh is an academic researcher from Council of Scientific and Industrial Research. The author has contributed to research in topics: Solar cell. The author has an hindex of 1, co-authored 1 publications receiving 211 citations.
Topics: Solar cell
Papers
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TL;DR: In this paper, a lumped-parameter equivalent circuit model using three-diodes is presented for large area (∼154.8 cm 2 ) industrial silicon solar cells.
299 citations
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TL;DR: In this paper, a review of the important works on the modelling and parameters estimation of photovoltaic (PV) cells for PV simulation is presented, which provides the concepts, features, and highlights the advantages and drawbacks of three main PV cell models, namely the single diode RS-, RP- and the two-diode.
466 citations
TL;DR: In this paper, the existing research works on PV cell model parameter estimation problem are classified into three categories and the research works of those categories are reviewed based on the conducted review, some recommendations for future research are provided.
Abstract: The contribution of solar photovoltaics (PV׳s) in generation of electric power is continually increasing. PV cells are commonly modelled as circuits. Finding appropriate circuit model parameters of PV cells is crucial for performance evaluation, control, efficiency computations and maximum power point tracking of solar PV systems. The problem of finding circuit model parameters of solar PV cells is referred to as “PV cell model parameter estimation problem,” and is highly attracted by researchers. In this paper, the existing research works on PV cell model parameter estimation problem are classified into three categories and the research works of those categories are reviewed. Based on the conducted review, some recommendations for future research are provided.
419 citations
TL;DR: An efficient approach based on Salp Swarm Algorithm for extracting the parameters of the electrical equivalent circuit of PV cell based double-diode model is proposed and several evaluation criteria show that the SSA algorithm provides the highest value of accuracy and has merits in designing SPVSs.
283 citations
TL;DR: A proper optimization algorithm, called Moth-Flame Optimizer (MFO), is proposed as a new optimization algorithm for the parameter extraction process of the three tested models based on data measured at laboratory and other data reported at previous literature.
244 citations
TL;DR: In this article, an optimization technique based on cat swarm optimization (CSO) algorithm is proposed to estimate the unknown parameters of single and double diode models, and the evaluation for the quality of identified parameters is also given.
231 citations