Design and operation of PV / FC smart electrical power system using neural networks | ||||
| The International Conference on Electrical Engineering | ||||
| Article 49, Volume 8, 8th International Conference on Electrical Engineering ICEENG 2012, May 2012, Page 1-13 PDF (227.39 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/iceeng.2012.30795 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Hassan. H. EL-Tamaly1; Ayman Yousef Nassef2 | ||||
| 1Prof. of Electrical Power Engineering, Vice Dean for Community Servic and Environment Development, Faculty of Engineering, Minia University, Elminia, Egypt. | ||||
| 2Middle Egypt Electricity Distribution Co., Egypt. | ||||
| Abstract | ||||
| This paper introduces a study of design and performance of Photovoltaic / Fuel Cells Smart Electrical Power System, PV/FC SEPS, to supply a load in a remote area has the same latitude of Elminia city. Since the output of PV system depends on solar radiation then the FC starts automatically by using Artificial Neural Network, ANN, when solar radiation is insufficient to feed the load demand. By using this operation strategy the FC works as a back- up power supply. The performance of the system for a step change in the electrical load and solar radiation are presented. Analysis of the system’s response and its limitations are discussed. | ||||
| Keywords | ||||
| solar energy; Hydrogen; Fuel cell; Electrolysis; Polymer Electrolyte Membrane; Photovoltaic; artificial neural network; environment | ||||
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