Abstract
The objective of this is study is the optimal design of an autonomous hybrid energy system including wind turbines, photovoltaic panels, and energy storage device. For this aim, a rule-based energy management system is defined, to ensure the delivery of energy to the loads and administrate the microsources and storage system. Regarding solving the optimization problem, the performance of different metaheuristic optimization algorithms is compared in both single-objective and multi-objective problem formulation. Also, two main approaches of using deterministic and stochastic data are examined. In this study, all details regarding the optimal design of the system are considered, and the models used in this study are based on a realistic estimate of each unit output so that the simulation is carried out and consequently, the results are of high precision and can be applied practically.
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