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Globally there is an increased awareness of the havoc that climate change and rising pollution are due to the over consumption of carbon riddled fossil fuels making the environment unfit for living. Thus, it is important to make discerning choices to incorporate more clean energy to produce power. Therefore, Renewable energy emerges as an obvious alternative. Renewable resources like solar and wind are now being utilized for power generation. The power output of a solar panel depends on the amount of irradiance of sunlight which is also called insolation. The main drawback in solar is the power output of a PV panel for a particular irradiance is not a linear function of voltage and the power is maximum only at a particular voltage called optimum voltage. When the solar panel is subjected to non-uniform irradiance which is referred to us partial shaded condition, then there will be multiple power peaks in the P-V characteristics and it becomes unable to meet the load requirements. The proposed system will help to overcome this drawback as it consists of two cascaded boost converters. A battery is connected in parallel to output of MPPT boost converter so that load power demand is met by parallel combination of PV panel and battery. The system is optimized for best performance using multi objective GWO optimization technique. Thus, maximum power is extracted even under partial shading condition and constant power is supplied.

Closed Loop Control of PV System Using Grey Wolf Optimization Algorithm under Partial Shading Condition