An improved bat algorithm for more efficient and faster maximum power point tracking under partial shading conditions

Power and voltage characteristic curves (P-VCC) for PV array modules under Partial Shading Conditions (PSC) will have multiple peaks. The output power of the PV array modules will be extraordinarily decreased if the maximum power point (MPP) is not occurred. To solve this problem, Maximum Power Point Tracking (MPPT) control methods have been designed. By using Metaheuristic Approach (MHA) to observe the Global Maximum Power Point (GMPP) is one substitute. The Bat Algorithm (BA), a novel MHA, has newly shown promising results in the MPPT. However, when there are some Local Maximum Power Point (LMPP) around the GMPP, BA might not be able to track the GMPP. In addition, a further improvement in tracking time by reducing it, is required to account for the rapidly changing irradiance. Hence, it is suggested to combine BA with Cuckoo Search's (CS) abandoning mechanism to enhance BA's tracking capabilities. The suggested technique, when compared to BA, offers higher accuracy, and can enhance convergence speed by roughly 35% according to simulation data.