الفهرس 
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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).