Ocean Current Turbine Power Maximization: A Spatiotemporal Optimization Approach

• DOI: 10.36227/techrxiv.12751181.v1
• Publication Date: 2020-08-05T03:06:13Z
• Authors: Yufei Tang
• Keywords: Maximization; Maximum power principle

This paper presents a novel spatiotemporal optimization approach for maximizing the output power of an ocean current turbine (OCT) under uncertain velocities. In order to determine power, velocities and consumed generated by OCT system are modeled. The stochastic behavior is function time location, which modeled as Gaussian process. composed three parts, including maintaining at operating depth, changing water depth reach maximum power. Two different algorithms, model predictive control (MPC) model-based method reinforcement learning (RL) learning-based method, proposed design structure, comparative studies presented. On one hand, MPC based controller faster in finding optimal while RL also computationally feasible considering required depth. other cumulative energy production algorithm higher than verifies that can provide better solution address uncertainties renewable systems. Results verify efficiency both presented methods total system, where harnessed after 200 hours shows over 18% increase compared baseline.