Teacher Learning based Optimization Algorithm for Optimal Sizing of Hybrid Wind and Solar Renewable Energy System

Abstract

In this paper the Teacher Learning process Based Optimization (TLBO) algorithm was employed in order to optimize wind and solar hybrid energy. Minimizing total annual cost, by determining appropriate numbers components to satisfy the desired load based on the given constraints is the main concern of this research. The algorithm was recently innovated random search meta heuristic algorithm. When it was signed the actual of process learning in a class was imitated. The result has shown that TLBO could be applied to optimize hybrid system. It was concluded that, the algorithm converges to optimal solution with relatively good convergence rate. It has shown that, TLBO has some advantage over other algorithms by comparing the result with some results in literature.