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The use of renewable energy presents a viable alternative to fossil fuels.However, their intermittent nature does not allow for an immediate response to energy demand.Thus, it is necessary and beneficial to harness various renewable sources and integrate a storage system as an auxiliary source to mitigate this intermittency.The hybridization of energy sources requires efficient management of power flows to ensure the proper functioning of the overall system, regardless of changing weather conditions.In this paper, we propose an intelligent power management control for hybrid wind-solar-battery systems connected to micro-grids based on fuzzy logic.The proposed control approach addresses several specific challenges compared to conventional methods in the intelligent energy management of renewable hybrid systems.It effectively manages the uncertainties and nonlinearities inherent in weather variations, optimizes performance by dynamically adjusting the operations of energy sources and storage systems, and ensures efficient realtime utilization of available energy resources, thus providing greater flexibility and adaptability.Additionally, it enhances the stability and reliability of micro-grids by integrating more flexible and adaptive decision-making mechanisms.The simulation results using MatLab/Simulink demonstrate the significant advantage of this intelligent management lies in its ability to precisely control the state of charge of the battery across five distinct levels, which is not achievable using traditional management practices that rely solely on the maximum and minimum levels of the state of charge.
Izgheche et al. (Tue,) studied this question.