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Findings from Department of Electrical Engineering Provides New Data on Algorithms (Adaptive neuro-fuzzy based solar cell model)

September 12, 2014



By a News Reporter-Staff News Editor at Energy Weekly News -- Research findings on Algorithms are discussed in a new report. According to news reporting out of Montreal, Canada, by VerticalNews editors, research stated, "The modelling of photovoltaic (PV) solar cells using a hybrid adaptive neuro-fuzzy inference system (ANFIS) algorithm is presented. It is based on the decomposition of the cell output current into photocurrent and junction current."

Our news journalists obtained a quote from the research from the Department of Electrical Engineering, "The photocurrent is linearly dependent on solar irradiance and cell temperature; consequently, its analytical computation is done easily. However, the junction current is highly non-linear and depends on cell voltage and temperature. Therefore, its analytical computation is complicated and the manufacturers do not supply any information about this parameter. Moreover, there is no way to measure it physically. Therefore, it is proposed to use the ANFIS algorithm as a powerful technique in order to estimate this current and reconstruct the output PV cell current using the photocurrent. The model validation is based on the gradient descent and chain rule applied to a set of data different than the one used for training process."

According to the news editors, the research concluded: "The advantage of the proposed model is that only one climatic parameter is used as the input to the ANFIS algorithm, which makes it less sensitive to climatic variations."

For more information on this research see: Adaptive neuro-fuzzy based solar cell model. IET Renewable Power Generation, 2014;8(6):679-686. IET Renewable Power Generation can be contacted at: Inst Engineering Technology-Iet, Michael Faraday House Six Hills Way Stevenage, Hertford SG1 2AY, England. (The Institution of Engineering and Technology - www.theiet.org/; IET Renewable Power Generation - www.ietdl.org/IET-RPG)

Our news journalists report that additional information may be obtained by contacting A. Chikh, Ecole Technol Super ETS, Dept. of Elect Engn, Montreal, PQ H3C 1K3, Canada.

Keywords for this news article include: Montreal, Quebec, Canada, North and Central America, Algorithms, Energy, Fuzzy Logic, Solar Cell

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Energy Weekly News


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