Fuzzy logic-based simulation and modelling of grid integration renewable energy systems for sustainable energy

Continuous power demand growth due to population and industrial development poses a significant challenge for traditional fossil fuel-based energy production methods. Renewable energy source capacity limitations and the environmental impact associated with carbon emissions necessitate alternative energy sources. This study examines a distributed energy system operating at a voltage level of 34.5 kV. The system comprises 3500W photovoltaic panels, a 1000Ah battery pack, a 5 kVA diesel generator, 4 kW wind energy, and a 10 kW load. A fuzzy logic control system controls and manages the distributed energy system. The performance of wind and photovoltaic renewable energy systems is analyzed under various weather conditions. A maximum power point tracking controller is developed using a perturb and observe algorithm and fuzzy logic controller depending on the performance characteristics. This research aims to propose a hybrid system that integrates wind, photovoltaic, diesel generator, and battery storage devices into the power system. The fuzzy logic control system is implemented to optimize the energy flow between various energy sources and maintain energy balance within the system. The fuzzy logic control algorithm adjusts power distribution according to the dynamic conditions of the system, thereby increasing energy efficiency and ensuring the most effective utilization of energy resources. This study comprehensively overviews distributed energy management and control in 34.5 kV systems. The distributed system is modeled in a simulation program, and the system's performance is analyzed.