PV Module Parameters Extraction with Maximum Power Point Estimation Based on Flower Pollination Algorithm

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Tarih

2016

Dergi Başlığı

Dergi ISSN

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Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Modeling of photovoltaic (PV) module remains as an important issue for many applications like monitoring or fault detection. Hence, many models have been proposed in literature, the most popular ones are the single and double diode models. Each model have unknown parameters to be identified. In this paper, a parameters extraction for both single and double diode models by using flower pollination algorithm is proposed. This algorithm is based on flower pollination for optimal reproduction of the plants species and can be considered as an optimization technique. Experimental validation was carried out by comparing the obtained results with real measurements data. In order to give usefulness, the extracted PV module parameters values are incorporated to estimate the maximum power point (MPP) and compared it with the MPP obtained from real data of grid connected photovoltaic system (GCPVS).

Açıklama

17th IEEE International Power Electronics and Motion Control Conference (PEMC) -- SEP 25-30, 2016 -- Varna, BULGARIA

Anahtar Kelimeler

PV modules, Flower pollination algorithm, Parameters extraction, Maximum power point, Grid connected photovoltaic system, meta-heuristic optimization

Kaynak

2016 Ieee International Power Electronics And Motion Control Conference (Pemc)

WoS Q Değeri

N/A

Scopus Q Değeri

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Sayı

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