Title :
Numerical Optimal Control of Wave Energy Converters
Author :
Bacelli, Giorgio ; Ringwood, John V.
Author_Institution :
Water Power Technol. Dept., Sandia Nat. Labs., Albuquerque, NM, USA
Abstract :
Energy maximizing control for wave energy converters (WECs) is a nonstandard optimal control problem. While the constrained optimal control problem for WECs has been addressed by model-predictive control strategies, such strategies need to employ cost function modifications due to convexity problems and the algorithms are computationally complex, making real-time implementation difficult. The recently developed family of direct transcription methods offer a promising alternative, since they are computationally efficient and a convex problem results. Moreover, constraints on both the device displacement and velocity, and power take off force, are easily incorporated. Both single-body and multibody device models can be used, as well as arrays of single-body or multibody devices.
Keywords :
optimal control; power generation control; predictive control; wave power plants; WEC; convexity problems; cost function modifications; device displacement; device velocity; direct transcription methods; model-predictive control strategies; numerical optimal control; power take off force; wave energy converters; Equations; Force; Fourier series; Mathematical model; Method of moments; Optimal control; Vectors; Control systems; direct transcription; wave energy;
Journal_Title :
Sustainable Energy, IEEE Transactions on
DOI :
10.1109/TSTE.2014.2371536