Maximum Power Point Tracking of a Partially Shaded Solar PV Generation System Using Coyote Optimization Algorithm (COA)

Abstract

The energy crisis due to population growth and advancements in technology made it mandatory for the researchers to develop some methods that can be helpful in prevention of these crisis. In order to eliminate the day by day growing energy issues, making use of renewable energy sources is considered one of the alternatives. Among these energy sources, solar PV systems are considered one of the most valuable. But the issue with these cells is that they cannot work smartly and cannot detect the optimal power at their output. Hence, in this paper a nature-inspired algorithm Coyote Optimization Algorithm (COA) is used to track maximum power at the output terminal of the solar PV cell.