Review on maximization of solar system under uniform and non uniform conditions

The world global demand for electrical energy is ever rising while energy production based on fossil fuel is decreasing and therefore main emphasis is given to supplement conventional fossil fuels with that from renewable source that is sun's energy which is clean, abundant and provide future development. This paper summarizes modeling of solar system and FV characteristics under partial shaded conditions (FSC). The nature of power voltage curve is non linear and it generates multiple peaks including local and global peaks under non uniform conditions. To extract global point, maximum power point tracking (MFFT) is integral part of solar system. This paper describes various techniques based on Evolutionary algorithms and swarm intelligence. The main intention is to introduce guided artificial bee colony algorithm (G-ABC) under rapid dynamic conditions.