Economic Load Dispatch in Power System by Using Elephant Herding Optimization Technique

Abstract

AbstractThe goal of economic load dispatch (ELD) is to cut the generator’s fuel consumption rate by which reducing the operating cost of the power system by defining the output power of each generator with consideration of different constraints to meet the load demands of the connected network. Economic load dispatch is a most communal problem that comes upon in power system studies. ELD is always formulated as nonlinear optimization problem with various constraints. This work proposes a metaheuristic optimization method for the solution of ELD-related issues. The name of this method is elephant herding optimization (EHO). This technique is primarily stimulated by the navigation nature of elephant cluster. During the journey of any elephant’s life, it belongs to many diverse fraternities. The group of elephants is always following their leader, and usually, elder female elephant leads the group. When male elephants mature, they isolate from origin cluster and live separately. These are the two different behaviors and can be exhibited in two operators, i.e., clan updating operator and separating operator. Each clan of the elephants is updated and modified by their current position and matriarch by clan updating operator. To establish its effectiveness, EHO is applied on 13-unit test system and compared with GSA and CEP. The outcomes display that the EHO gives better results as compared to other metaheuristic algorithms.KeywordsEconomic load dispatch (ELD)Elephant herding optimization (EHO)Valve point loading effect