Variable-Constrained Model Predictive Control of Coordinated Active Power Distribution for Wind-Turbine Cluster

• Main Authors: Zhenyu Chen, Jizhen Liu, Zhongwei Lin, Chenzhi Qu
• Format: Article
• Language: English
• Published: MDPI AG 2018-12-01
• Series: Applied Sciences
• Subjects: wind turbine; active power control; wind-turbine cluster; model predictive control; frequency regulation
• Online Access: http://www.mdpi.com/2076-3417/9/1/112

In this paper, a wind-turbine active power control strategy is proposed from the cluster level to optimize the active power set-point for each wind turbine in a specific cluster. The wind turbine power tracking characteristic is described as an inertial link to establish the power tracking predictive model, and the model predictive control (MPC) method is used to optimize the cluster power demand and output. Time-varying constraints are proposed to coordinate the power output for different time-scale wind turbines and sustain that the cluster has enough fast-tracking capacity when the cluster power demand changes. Under different scenarios, the proposed strategy is tested to verify the effectiveness in improving the power output stability and frequency support ability.