Enhancement of PV performance by using hybrid TLBO-EO optimization
Eman Sayed, Mariam A. Sameh, Mahmoud A. Attia, Ahmed O. Badr
Abstract
Photovoltaic systems are considered among the most promising renewable energy sources. This paper proposes a relatively new hybrid optimization technique to tune the PV system controller gains under normal conditions and dynamic irradiance. The introduced hybrid optimization technique combines both the Teaching Learning Based Optimization (TLBO) which has high exploration and the Equilibrium Optimizer (EO) which has high exploitation. Moreover, a comparison with various optimization approaches is presented to validate the efficacy of the proposed approach. The superiority of the proposed hybrid optimization technique is demonstrated in improving the PV system performance compared to other previously reported algorithms.