الفهرس | Only 14 pages are availabe for public view |
Abstract Wave energy is very important source of energy; since it is clean, environment friendly and renewable. A massive amount of energy can be generated from waves if the wave energy converter is well chosen and designed. Thus, the objective of this thesis is to maximize the wave power extraction by optimizing the wave energy converter parameters. Relatively new optimization techniques are used in this work to maximize the power extraction from incident wave energy corresponding to the wave height. Also, for determining of the best deep-water length and maximizing the applied damping ratio. Moreover, these optimization techniques are used in this thesis also to tune the conversion system controller gains to maximize the output power of wave energy converter. Three controllers are proposed and tuned by these optimization techniques. MATLAB/Simulink is the software used to implement the model used for this research. The results show that the optimization of mechanical parameter can increase the output power of wave energy converter much better than tuning the system controller gains. Moreover, the Equilibrium Optimizer (EO) proved its superiority than Harmony Search Algorithm (HS) and Teaching Learned Based Optimization (TLBO). The results also show the superiority of model predictive controller (MPC) than proportional–integral–derivative controller (PID controller) and Linear Quadratic Regulator controller (LQR controller). |