Solving Economic Dispatch using Artificial Eco System-based Optimization

Economic Load Dispatch (ELD) is the most inherent necessity in power system operation to minimize the cost as well as the accomplishment of load demand abundantly. The main purpose of ELD is to satisfy load demand with the minimization of cost. Distinct techniques have been used for resolving the ELD problem. This paper introduces a robust and effective technique named Artificial Eco System Optimization (AEO) Algorithm to solve ELD. AEO is a population-based optimizer stimulated by the flow of energy into the Earth's ecosystem. This algorithm shows three distinct functions of living organisms, including production, consumption, and decomposition. By accomplishing three operator producer, consumer, and decomposer whole algorithm works and balances between the exploitation and the exploration phases of the technique. For solving the ELD problem, AEO has been implemented on multiple test systems with an account of different restrictions and AEO has given better results than different several novels, previous and hybrid optimization techniques. The outcomes confirm the robustness, expediency, effectiveness, and efficacy of AEO in terms of computational time and vicinity to the global optimum solution.

Automated summary

Economic Load Dispatch (ELD) is a fundamental requirement in power system operation, and this paper introduces a robust and effective technique called Artificial Eco System Optimization (AEO) Algorithm to solve ELD, which shows three distinct functions of living organisms and works to balance between the exploitation and exploration phases of the technique using producer, consumer, and decomposer operators.