Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

• Autorzy: Izadbakhsh M. , Rezvani A. , Gandomkar M.

Identyfikatory

DOI

10.1515/aee-2015-0024

• Języki publikacji: EN

Abstrakty

EN

In this paper, dynamic response improvement of the grid connected hybrid system comprising of the wind power generation system (WPGS) and the photovoltaic (PV) are investigated under some critical circumstances. In order to maximize the output of solar arrays, a maximum power point tracking (MPPT) technique is presented. In this paper, an intelligent control technique using the artificial neural network (ANN) and the genetic algorithm (GA) are proposed to control the MPPT for a PV system under varying irradiation and temperature conditions. The ANN-GA control method is compared with the perturb and observe (P&O), the incremental conductance (IC) and the fuzzy logic methods. In other words, the data is optimized by GA and then, these optimum values are used in ANN. The results are indicated the ANN-GA is better and more reliable method in comparison with the conventional algorithms. The allocation of a pitch angle strategy based on the fuzzy logic controller (FLC) and comparison with conventional PI controller in high rated wind speed areas are carried out. Moreover, the pitch angle based on FLC with the wind speed and active power as the inputs can have faster response that lead to smoother power curves, improving the dynamic performance of the wind turbine and prevent the mechanical fatigues of the generator.

Słowa kluczowe

EN

hybrid system; photovoltaic; FLC; permanent magnet synchronous generator (PMSG); ANN-GA

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2015
• Tom: Vol. 64, nr 2
• Strony: 291--314
• Opis fizyczny: Bibliogr. 41 poz., rys., tab., wykr., wz.

Twórcy

autor

Izadbakhsh M.

• Department of Electrical Engineering, Saveh Branch Islamic Azad University, Saveh, Iran

autor

Rezvani A.

• Department of Electrical Engineering, Saveh Branch Islamic Azad University, Saveh, Iran

autor

Gandomkar M.

• Department of Electrical Engineering, Saveh Branch Islamic Azad University, Saveh, Iran

Bibliografia

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