Dual-loop self-optimizing robust control of wind power generation with Doubly-Fed Induction Generator |
| |
| Affiliation: | 1. Department of Electrical/Electronic Systems, Harley-Davidson Product Development Center Wauwatosa, WI 53222, USA;2. Department of Mechanical Engineering, University of Texas at Dallas, Richardson, TX 75080, USA;3. High Altitude Trading, Inc., 125 South King Street, Suite 2A Jackson, WY 83001, USA;1. Renewable Energy Research Centre, Department of Teacher Training in Electrical Engineering, Faculty of Technical Education, King Mongkut’s University of Technology North Bangkok, 1518, Pracharat 1 Road, Bangsue, Bangkok 10800, Thailand;2. Department of Electrical Engineering, Politecnico di Milano, Piazza Leonardo, 32, I-20133 Milan, Italy;3. Groupe de Recherche en Electrotechnique et Electronique de Nancy, Université de Lorraine, 2, Avenue de la Forêt de Haye, Vandœuvre-lés-Nancy, Lorraine 54516, France;1. Laboratory of Energy Systems Modeling, University of Mohamed Khider, Biskra, Algeria;2. Industrial Hybrid Vehicle Applications, France;3. University of Technology of Belfort-Montbéliard (UTBM), FCLAB FR CNRS 3539, Femto-ST UMR CNRS, 6174 Belfort, France;1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan, China;2. School of Information Engineering, Hubei University for Nationalities, Enshi, China;1. World Diabetes Foundation, Gentofte, Denmark;2. International Union Against Tuberculosis and Lung Disease, Paris 75006, France;3. London School of Hygiene and Tropical Medicine, Keppel Street, London, UK;4. Global TB Programme, World Health Organization, Geneva, Switzerland;5. Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden;6. International Diabetes Federation, Brussels, Belgium;7. Directorate of Non-Communicable Diseases Control and Directorate of Diseases Control and Environmental Health, Ministry of Health, Jakarta, Indonesia;1. Eye Department, Kilimanjaro Christina Medical Centre, PO Box 3010, Moshi, Tanzania;2. International Centre for Eye Health, Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK;3. University Maastricht, Faculty of Psychology and Neuroscience, Department of Work & Social Psychology, Maastricht, Netherlands;4. Newcastle Eye Hospital Research Foundation, Waratah, NSW, Australia;5. Kilimanjaro Centre for Community Ophthalmology, Division of Ophthalmology, University of Cape Town, Cape Town, South Africa;1. Key Laboratory of Functional Small Organic Molecules, Ministry of Education and College of Chemistry & Chemical Engineering, Jiangxi Normal University, Nanchang, Jiangxi 330022, PR China;2. Department of Obstetrics and Gynecology, Jiangxi Provincial People''s Hospital, Nanchang, Jiangxi 330006, PR China |
| |
| Abstract: | This paper presents a self-optimizing robust control scheme that can maximize the power generation for a variable speed wind turbine with Doubly-Fed Induction Generator (DFIG) operated in Region 2. A dual-loop control structure is proposed to synergize the conversion from aerodynamic power to rotor power and the conversion from rotor power to the electrical power. The outer loop is an Extremum Seeking Control (ESC) based generator torque regulation via the electric power feedback. The ESC can search for the optimal generator torque constant to maximize the rotor power without wind measurement or accurate knowledge of power map. The inner loop is a vector-control based scheme that can both regulate the generator torque requested by the ESC and also maximize the conversion from the rotor power to grid power. An ℋ∞ controller is synthesized for maximizing, with performance specifications defined based upon the spectrum of the rotor power obtained by the ESC. Also, the controller is designed to be robust against the variations of some generator parameters. The proposed control strategy is validated via simulation study based on the synergy of several software packages including the TurbSim and FAST developed by NREL, Simulink and SimPowerSystems. |
| |
| Keywords: | Wind turbine Region-2 control Extremum Seeking Control Doubly-Fed Induction Generator |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
