This paper proposes a multiple model adaptive control method of wind turbine active power that considers the complexity of the control model, nonlinear and strong coupling. The model is designed to reduce the negative influences of wind turbines in the process of active power control caused by different uncertain factors. We first build the multiple model of turbine operating by using subtracting cluster algorithm, based on data of a 1.5MW doubly-fed inductor generators (DFIGs) in a wind farm in Gansu, China. We use recursive least squares (RLS) algorithm to identify local model parameters. In addition, the controller is designed by adopting online optimal control model which based on a weighted index of output matching switching strategy. The controller is to realize multi-model adaptive control (MMAC). Results show that the proposed method has good control performance. The method can effectively solve the problems of wind turbines nonlinear modeling and active power control in operation.
목차
Abstract 1. Introduction 2. Working Principle of the Variable-Speed Variable-Pitch Wind Turbine 3. Wind Turbines Multi-Model Modeling Based On Subtractive Clustering 3.1. Multiple Model Description of the Wind Turbine Operational Process 3.2. Optimal Number of Dynamic Models Based On Subtractive Clustering 3.3. Multiple Model Identification 4. Multi-Model Adaptive Control for Wind Turbine Power Control 4.1. Multi-Model Adaptive Control for Wind Turbine 4.2. Multi-Model Switching Principle 5. The Simulation and Analysis 5.1. Optimal Active Power Control of Wind Turbines 5.2. Wind Turbines Limit Control of Active Power Output 6. Conclusion Acknowledgements References
키워드
Wind turbine generatorsActive power controlMulti-modelAdaptive control
저자
Haiying Dong [ School of Automation & Electrical Engineering, Lanzhou Jiao Tong University, Lanzhou 730070 P.R. China ]
Lixia Yang [ School of Automation & Electrical Engineering, Lanzhou Jiao Tong University, Lanzhou 730070 P.R. China ]
Guohan Yin [ School of Automation & Electrical Engineering, Lanzhou Jiao Tong University, Lanzhou 730070 P.R. China ]
Hongwei Li [ School of Automation & Electrical Engineering, Lanzhou Jiao Tong University, Lanzhou 730070 P.R. China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.8 No.8