Design and Application of an ANN Controlled Off Grid Inverter for PV Power Systems 

Kerim Karabacak1 , andNuman Sabit Çetin2 

1. Kutahya Technical Sciences Vocational School, Dumlupinar University, Turkey 

2. Solar Energy Institute, Ege University, Izmir, Turkey 

Abstract: Most of conventional power systems, especially fossil fuel plants harms the environment. Their poisoning and toxic gas emission levels are dangerous for our future. In recent years, renewable energy sources are in demand for clean energy production. One of the most using renewable energy generation style is photovoltaic power systems have increasing place in renewable power plants. However, new control technics using on PV power systems for power generation are in progress to improve power quality and reliability. In this paper, one of the methods in progress, artificial neural network control system is handled for generating clean energy. An ANN (Artificial Neural Network) controlled inverter topology is designed simulated and experimented. The proposed inverter model includes a dc/dc converter stage in order to boost up and stabilize the PV panel’s output voltage, and it includes a three-phase push-pull inverter stage to feed ac loads. 

Key words: artificial neural networks, photovoltaic, renewable energy, solar energy