Elephant Herding Optimization Algorithm for the Operation of a Hydropower Plant
Angela Neagoe, Eliza-Isabela Tică, Gabriela Elena Dumitran, Liana Ioana Vuţă, Bogdan I. Popa · 2023
In this paper, the efficiency of a metaheuristic optimization algorithm, Elephant Herding Optimization (EHO), is tested for the operation of a Hydro-Power Plant (HPP). The optimization problem is to impose the realization of the monthly energy generation planned for one year of a HPP and to compare the obtained results with the exact numerical solution (obtained using the fsolve built-in function of MATLAB). As in most algorithms that are inspired by nature, EHO manages through simple operations of sorting, keeping the most suitable solution, removing the worst solution and repopulating with modified solutions, to iteratively lead to optimal solutions for engineering problems. With a reduced calculation effort and with the right choice of the coefficients involved in the algorithm, results were obtained with good accuracy, so EHO can be used in more complex optimization problems, which cannot be analytically solved.