  This work presents a new computational optimization framework for the robust
control of parks of Wave Energy Converters (WEC) in irregular waves. The power
of WEC parks is maximized with respect to the individual control damping and
stiffness coefficients of each device. The results are robust with respect to
the incident wave direction, which is treated as a random variable.
Hydrodynamic properties are computed using the linear potential model, and the
dynamics of the system is computed in the frequency domain. A slamming
constraint is enforced to ensure that the results are physically realistic. We
show that the stochastic optimization problem is well posed. Two optimization
approaches for dealing with stochasticity are then considered: stochastic
approximation and sample average approximation. The outcomes of the above
mentioned methods in terms of accuracy and computational time are presented.
The results of the optimization for complex and realistic array configurations
of possible engineering interest are then discussed. Results of extensive
numerical experiments demonstrate the efficiency of the proposed computational
framework.
