This paper deals with determination of a double diode model parameters using the differential evolution algorithm. The importance of this method is the implementation of ohmic and shadow losses. Performance of the proposed approach shows high potential as a promising determination method for solar cell parameters.
Słowa kluczowe: double diode model, differential evolution, I-V characteristic, losses, maximum power point
Przedmiotem artykułu jest określenie parametrów modelu z podwójną diodą przy wykorzystaniu ewolucyjnego algorytmu różniczkowego. Ważność tej metody tkwi w implementacji strat omowych i strat z zacienienia. Działanie zaproponowanego podejścia pokazuje jego duże możliwości w wyznaczaczaniu parametrów modułu fotowoltaicznego.
Keywords: model dwudiodowy, ewolucja różniczkowa, charakterystyka prądowo-napięciowa I-V, straty, punkt mocy maksymalnejy
Research and development of photovoltaic (PV) cells has led to higher efficiencies, significant cost reductions and long operating lifetimes with minimal degradation . The double diode model of the photovoltaic cell/module is fast becoming a viable alternative to the highly popular single diode model for PV simulations . In general, there are two ways to extract the solar cell parameters: (1) analytical and (2) numerical method The analytical technique requires information on several key points of the I-V characteristic curve, i.e. the current and voltage of at the maximum power point (MPP), short-circuit current, open-circuit voltage and slopes of the I-V characteristic at the axis intersections. It has been noted that the I-V is highly non-linear and any wrong selected points may result in significant errors in the computed parameters . While the numerical extraction technique relies on mathematical algorithm to fit all the points in the I-V characteristic curve. The results obtained by numerical extraction technique are more accurate, compared to the analytical technique, due to utilization of all points on the I-V curve. The following authors present different approaches to extract solar cell parameters. AlRashidi  presents a new technique based on pattern search (PS) optimization for estimating different solar cell parameters. The proposed approach is tested and validated using double diode model, in which the estimated parameters are generated photocurrent, saturation current, series resistance, shunt resistance, and ideality factor. Chin  presents the implementation of a hybrid solution, i.e. by incorporating the analytical method with the differential evolution (DE) optimization technique. Three parameters, i.e. generated photocurrent, saturation current of the first diode and shunt resistance are computed analytically, while the remaining ideality factors, saturation current of the second diode and s [...]
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