Optimal Control Design of Generator Systems for Marine Current Turbine Applications Using Economic Model Predictive Control

Abstract

Economic Model Predictive Control (EMPC) has recently been researched in many areas, especially in terms of energy. The development of advanced control algorithms has promoted the cost reduction of marine energy generation and improved the efficiency and reliability of marine current turbines. By reducing the loss on the marine turbine system, better economic indicators can be achieved. Based on this, the maximum marine power can be captured such that the entire marine current turbine system can obtain maximum economic benefits. In this paper, it is mainly based on the economic model predictive control framework to optimize the ocean current turbine power generation system. The system index is directly used for the objective function of the EMPC problem, as EMPC has the advantage of dealing with system constraints and cost functions. Compare the performance of the proposed control framework with the performance of commonly used basic MPC controllers, simulation results show that the proposed controller can reduce the loss of the turbine system and gearbox, indicating that more energy capture can be obtained for the system to achieve better economic effects.