Recent developments of control strategies for wind energy conversion system

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• 作者：Ramji Tiwari ^{ramji.tiwari2015@vit.ac.in" class="auth_mail" title="E-mail the corresponding author} ; N. Ramesh Babu ; ^{nrameshbabu@vit.ac.in" class="auth_mail" title="E-mail the corresponding author}
• 关键词：MPPT ; Maximum power point tracking ; GSC ; Grid side controller ; MSC ; Machine side controller ; WECS ; Wind energy conversion system ; LQG ; Linear quadratic Gaussian ; LVRT ; Low voltage ride through ; LIDAR ; Light detecting and ranging ; LMI ; Linear matrix inequalities ; CPC ; Collective pitch controller ; ANN ; Artificial neural network ; ANFIS ; Adaptive neural based fuzzy inference system ; FLC ; Fuzzy logic controller ; GA ; Genetic algorithm ; MLA ; Multi layer perceptrons ; RBFN ; Radial basis function network
• 刊名：Renewable and Sustainable Energy Reviews
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：66
• 期：Complete
• 页码：268-285
• 全文大小：1262 K

文摘

Renewable energy technique is gaining more interest due to increasing demand and threat zero carbon foot prints. The energy from wind has a high potential as a source of energy. The growing demand of wind energy tends to produce a quality output power in terms of grid integration. An appropriate controller is required to control the power produce by the wind energy. A decent number of research publications reports had reviewed maximum power point tracking (MPPT), grid side controller (GSC) and machine side controller (MSC) associated with wind energy conversion system (WECS). However survey on pitch angle based control has not been focused exclusively in any such reviews. A concise review of pitch angle controller, maximum power extraction control and grid synchronisation controller is analysed in this paper. Thus, this paper presents a comprehensive review of overall control strategies for wind energy conversion control. The review paper is intended to provide a suitable reference for further research in the field of wind energy.