Corona Herd Immunity Optimization Algorithm for Solution of Economical Load Dispatch Problem in Hybrid Power Generation

Corona Herd Immunity Optimisation (CHIO), a novel optimisation technique for restricted economic load dispatch issues (ELD), is presented in this paper. The concept was inspired by the use of herd immunity in the battle against the coronavirus outbreak. The algorithm's primary goal is to solve the economic load dispatch (ELD) problem in order to calculate the optimal system cost for a hybrid power plant. One study case had been used with this approach. In certain cases, solar and thermal generating units are combined. In the example study, the economic load dispatch problem was resolved by combining two solar and three thermal producing units. The results were compared to some of the most well-known existing techniques, including the Interior Search Algorithm (ISA), Ant Colony Optimisation (ACO), Cuckoo Search Algorithm (CSA), and Recursive Geometric Matching (RGM) Algorithm.