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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:School of Information Science and Engineering Central South University Changsha 410083 China Department of Control and Robotics Engineering Kunsan National University Jeonbuk 54150 Rep. of Korea
出 版 物:《Energy Procedia》
年 卷 期:2019年第158卷
页 面:237-242页
主 题:Wind turbine yaw control system model predictive control mulit-step prediction power reduction
摘 要:Advanced prediction technologies have enabled model predictive control (MPC) to be a potential powerful method for controlling wind turbines (WTs). However, the MPC technique available for the yaw control system of WTs is lacking. In this study, we propose a novel MPC using finite control set and multi-step prediction models for the yaw control system and solve the optimal problem using an exhaustive search method. Then, the proposed method is demonstrated by the simulation tests and the achievable performance of the yaw control system under different prediction horizons is investigated. Finally, our results show that, along with the extended prediction horizon, the power production performance is enhanced while maintaining the same yaw actuator usage.