IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society 2014
DOI: 10.1109/iecon.2014.7049333
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Active power dispatch method for a wind farm central controller considering wake effect

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Cited by 26 publications
(31 citation statements)
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“…In this work, the reactive powers of each WT are generated with the Particle Swarm Optimization (PSO) based optimization algorithm [15]. The flow chart of the optimization algorithm is shown in Fig.…”
Section: Proposed Reactive Power Dispatch Methodsmentioning
confidence: 99%
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“…In this work, the reactive powers of each WT are generated with the Particle Swarm Optimization (PSO) based optimization algorithm [15]. The flow chart of the optimization algorithm is shown in Fig.…”
Section: Proposed Reactive Power Dispatch Methodsmentioning
confidence: 99%
“…When the WTs are employed to provide extra reactive power to support the voltage control, the lifetime of WT's power converter could be reduced due to its additional current stress in each power module, which is an important challenge for modern WF lifetime requirement [10]. With the implemented MPPT method, due to the wake effect, upstream WT has more active power generation than downstream WT at the wind directions that the WF has wake loss [15], which results in shorter lifetime of upstream WT. Consequently, by using dispatching appropriate reactive power, (i.e.…”
Section: Nomenclaturementioning
confidence: 99%
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“…This approximation is mainly due to the high nonconvexity of the wake model that makes the problem hard to be treated directly under a control perspective. The available approaches mainly deal with either model-free decentralized methods, as in [2], [3], philippe.loevenbruck@edf.fr or model-based ones as in [4], and [1]. The aforementioned optimization algorithms rely on the existence of local control strategies for individual WTs that can stabilize around the obtained optimal set points [2].…”
Section: Introductionmentioning
confidence: 99%