Multi‐objective model predictive control of doubly‐fed induction generators for wind energy conversion
Author:
Affiliation:
1. Department of Electrical EngineeringThe Hong Kong Polytechnic UniversityHong KongPeople's Republic of China
2. School of Electrical and Information EngineeringUniversity of SydneyNew South WalesAustralia
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.5172
Reference31 articles.
1. Global Wind Energy Council: ‘Global wind energy outlook 2016’ November2016
2. Assessing transient response of DFIG based wind turbines during voltage dips regarding main flux saturation and rotor deep-bar effect
3. Optimal power flow solutions incorporating stochastic wind and solar power
4. Interaction of the dynamics of doubly fed wind generators with power system electromechanical oscillations
5. Reactive power control of DFIG wind turbines for power oscillation damping under a wide range of operating conditions
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