Maximum Wind Power Capture by Sensorless Rotor Position and Wind Velocity Estimation from Flux Linkage and Sliding Observer
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Tomonobu Senjyu
In recent developments wind power has been gaining rapid usage as an alternative source of electrical power and there is need to formulate optimized control schemes for power generation. This paper presents a sensorless maximum power point tracking control methodology for a wind power generation system. For the sensorless vector control a sliding mode observer is utilized in the estimation of the rotor speed while the rotor position is estimated based on the flux linkage. The Powell method is introduced to improve the efficiency of the permanent magnet synchronous generator (PMSG) d-axis current optimization. To ensure robustness of the proposed paradigm to parameter variations, the windmill loss coefficients determining the optimal rotor speed are identified online. Results of simulations confirm the effectiveness of the proposed method.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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- Maximum Wind Power Capture by Sensorless Rotor Position and Wind Velocity Estimation from Flux Linkage and Sliding Observer
- Multi-Agent Models for Consumer Choice and Retailer Strategies in the Competitive Electricity Market
- Neuro-Wavelet Approach to Time-Series Signals Prediction: An Example of Electricity Load and Pool-Price Data
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Articles in the same Issue
- Article
- Transient Behavior Analysis of Induction Generator at Three-Phase Fault Condition
- A Test on Probabilistic Reliability Evaluation of the Korea Power System
- Maximum Wind Power Capture by Sensorless Rotor Position and Wind Velocity Estimation from Flux Linkage and Sliding Observer
- Multi-Agent Models for Consumer Choice and Retailer Strategies in the Competitive Electricity Market
- Neuro-Wavelet Approach to Time-Series Signals Prediction: An Example of Electricity Load and Pool-Price Data
- DSP Based Implementation of Hybrid Fuzzy PI Speed Controller for Direct Torque Controlled Permanent Magnet Synchronous Motor Drive
- Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF
