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Publication Type : Conference Paper
Publisher : 2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT)
Source : 2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT), IEEE, Kannur, India (2018)
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2018
Abstract : The application of renewable energy with power system is shooting up day by day. In that residential solar photovoltaic system has an important role. Two types of residential solar photovoltaic systems are standalone system and grid connected system. In order to intensify output power of a solar photovoltaic arrangement, it is imperative to find the maximum possible energy harvest from photovoltaic panel. Also another issue that concerns solar photovoltaic system is inverter control. In this paper residential solar photovoltaic system using Artificial Neural Network (ANN) based controller for both Maximum Power Point Tracking (MPPT) and inverter control for load voltage regulation is implemented. A bidirectional DC-DC converter is used to control battery charging and discharging such that dc bus voltage fluctuations get reduced. Simulations are done by using MATLAB/SIMULINK to analyze results.
Cite this Research Publication : J. Lakshmi P.N. and Dr. Sindhu M. R., “Residential Solar Photovoltaic System With Artificial Neural Network Based Controller”, in 2018 International Conference on Control, Power, Communication and Computing Technologies (ICCPCCT), Kannur, India, 2018.