Adaptive Sliding Mode and Fuzzy Logic Optimal Control of Marine Current Turbine Farms Using MOPSO for Sustainable Coastal Energy Generation
Marine current energy is becoming an attractive and sustainable alternative for the supply of the increasing demand of energy worldwide, particularly in areas with strong tidal currents such as coastline regions. Nevertheless, the optimal operation of marine current turbine farms for changing hydrodynamics and environmental conditions is still challenging. In this study, a novel control scheme, composed of Adaptive Sliding Mode Control (ASMC) and Fuzzy Logic Control (FLC), is developed and further optimized by means of Multi-Objective Particle Swarm Optimization (MOPSO) algorithm to improve the performance and the reliability of the marina current turbine farm (MCTF). The hybrid ASMC-FLC controller is developed to handle nonlinearities, uncertain system dynamics, and time-varying disturbances in the marine environment, and to possess robustness and minimize power consumption. MMOPSO algorithm is used for tuning the major control parameters, while satisfying the different conflicting objectives like MPPT, mechanical stress alleviation and reactive power control. A grid-connected marine current turbine array model in different current speeds, different turbulence intensities and different load operating conditions is simulated. Simulation results show that tracking performance (total power generation) is further increased, torque ripples are reduced, and the wind energy is extracted most efficiently using the proposed ASMC-FLC-MOPSO control scheme, when compared with the traditional PI and single-strategy fuzzy controls. The system also remains AC grid compliant with efficient voltage and reactive power control for a stable connection with the onshore grid. Being adaptive and intelligent, the controller could respond to changing marine conditions in real-time, which would facilitate its practical application in coastal energy systems. A superstructure optimization technique for marine current turbine farms is developed to advance sustainable and resilient generation of power from the coastal energy system with a high degree of confidence and scalability. Work then in development will experimentally validate such control architecture and extend it to manage hybrid marine renewables systems, wave and offshore wind integration, and operations, in the near future.
Keywords: Marine Current Turbines, Adaptive Sliding Mode Control, Fuzzy Logic Control, Multi-Objective Particle Swarm Optimization (MOPSO), Sustainable Coastal Energy, Optimal Power Extraction
