MPC Based Coordinated Active and Reactive Power Control Strategy of DFIG Wind Farm with Distributed ESSs

Hesong Cui, Xueping Li, Gongping Wu, Yawei Song, Xiao Liu and Derong Luo
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Hesong Cui: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Xueping Li: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Gongping Wu: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Yawei Song: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Xiao Liu: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
Derong Luo: College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

Energies, 2021, vol. 14, issue 13, 1-19

Abstract: The ESS is considered as an effective tool for enhancing the flexibility and controllability of a wind farm, and the optimal control scheme of a wind farm with distributed ESSs is vital to the stable operation of wind power generation. In this paper, a coordinated active and reactive power control strategy based on model predictive control (MPC) is proposed for doubly fed induction generator (DFIG)-based wind farm (WF) with distributed energy storage systems (ESSs). The proposed control scheme coordinates the active and reactive power output among DFIG wind turbines (WTs), grid-side converters (GSCs), and distributed ESSs inside the WF, and the aim is to decrease fatigue loads of WTs, make the WT terminal voltage inside the extent practicable, and take the WF economic operation into consideration. Moreover, the best reactive power references of DFIG stator and GSC are produced independently based on their dynamics. At last, the control scheme generates optimal power references for all ESS to make the SOC of each ESS converge to their average state. With the distributed ESSs, the WF controller regulates the WTs inside WF more flexibly. A WF composed of 10 DFIG WTs was utilized to verify the control performance of the proposed coordinated active and reactive power control strategy.

Keywords: model predictive control; DFIG wind turbines; distributed energy storage systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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