Modified variable neighborhood search algorithm for maximum power point tracking in PV systems under partial shading conditions

Photovoltaic (PV) systems are being increasingly popular for power generation from solar radiation as the usage of renewable energy grows. To improve efficiency, system should operate at its maximum point. Hence, several algorithms have been developed this purpose. Continuous tracking point often leads to heavy loss. Furthermore, partial shading can dramatically lower performance system. A modified variable neighborhood search algorithm is proposed resulting zero oscillations around operating set variables used system’s configurability in various atmospheric and geographical conditions. Simulation result proves operation algorithm, accuracy, fast response time.