Integration Rate Management and Nonlinear Control of Hybrid Renewable Energy Microgrids
A hybrid PV/wind/storage battery microgrid system is developed using a strategy that integrates power management with nonlinear control to address the uncertainties and intermittencies of renewable energy generation.This approach employs a maximum power point tracking algorithm to optimize energy extraction from each renewable source.Additionally,a sliding mode control technique is introduced to enhance system robustness,ensuring efficient energy management regardless of system disturbances,load fluctuations,and variations in radiation and wind speed.The optimization framework was tested and validated on an AC microgrid system,demonstrating its effectiveness.Simulation results indicate that the system successfully manages power flow and maintains stable DC bus and load voltage levels,ensuring smooth operation.
energy storage systemshybrid solar-wind systemsmicrogrid modellingnon-linear controloptimal energy management
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维普
