Review of reactive power dispatch strategies for loss minimization in a DFIG-based wind farm

Baohua Zhang, Weihao Hu*, Peng Hou, Jin Tan, Mohsen Soltani, Zhe Chen

*Kontaktforfatter

Publikation: Bidrag til tidsskriftReview (oversigtsartikel)Forskningpeer review

3 Citationer (Scopus)
78 Downloads (Pure)

Resumé

This paper reviews and compares the performance of reactive power dispatch strategies for the loss minimization of Doubly Fed Induction Generator (DFIG)-based Wind Farms (WFs). Twelve possible combinations of three WF level reactive power dispatch strategies and fourWind Turbine (WT) level reactive power control strategies are investigated. All of the combined strategies are formulated based on the comprehensive loss models of WFs, including the loss models of DFIGs, converters, filters, transformers, and cables of the collection system. Optimization problems are solved by a Modified Particle Swarm Optimization (MPSO) algorithm. The effectiveness of these strategies is evaluated by simulations on a carefully designed WF under a series of cases with different wind speeds and reactive power requirements of the WF. The wind speed at each WT inside the WF is calculated using the Jensen wake model. The results show that the best reactive power dispatch strategy for loss minimization comes when the WF level strategy and WT level control are coordinated and the losses from each device in the WF are considered in the objective.
OriginalsprogEngelsk
Artikelnummer856
TidsskriftEnergies
Vol/bind10
Udgave nummer7
Antal sider17
ISSN1996-1073
DOI
StatusUdgivet - 2017

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Asynchronous generators
Reactive power
Farms
Proof by induction
Generator
Wind Speed
Strategy
Review
Power Control
Transformer
Turbine
Wake
Particle Swarm Optimization Algorithm
Cable
Converter
Level control
Control Strategy
Power control
Particle swarm optimization (PSO)
Model

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title = "Review of reactive power dispatch strategies for loss minimization in a DFIG-based wind farm",
abstract = "This paper reviews and compares the performance of reactive power dispatch strategies for the loss minimization of Doubly Fed Induction Generator (DFIG)-based Wind Farms (WFs). Twelve possible combinations of three WF level reactive power dispatch strategies and fourWind Turbine (WT) level reactive power control strategies are investigated. All of the combined strategies are formulated based on the comprehensive loss models of WFs, including the loss models of DFIGs, converters, filters, transformers, and cables of the collection system. Optimization problems are solved by a Modified Particle Swarm Optimization (MPSO) algorithm. The effectiveness of these strategies is evaluated by simulations on a carefully designed WF under a series of cases with different wind speeds and reactive power requirements of the WF. The wind speed at each WT inside the WF is calculated using the Jensen wake model. The results show that the best reactive power dispatch strategy for loss minimization comes when the WF level strategy and WT level control are coordinated and the losses from each device in the WF are considered in the objective.",
keywords = "Doubly fed induction generator, Loss minimization, Reactive power dispatch, Wind farm",
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Review of reactive power dispatch strategies for loss minimization in a DFIG-based wind farm. / Zhang, Baohua; Hu, Weihao; Hou, Peng; Tan, Jin; Soltani, Mohsen; Chen, Zhe.

I: Energies, Bind 10, Nr. 7, 856, 2017.

Publikation: Bidrag til tidsskriftReview (oversigtsartikel)Forskningpeer review

TY - JOUR

T1 - Review of reactive power dispatch strategies for loss minimization in a DFIG-based wind farm

AU - Zhang, Baohua

AU - Hu, Weihao

AU - Hou, Peng

AU - Tan, Jin

AU - Soltani, Mohsen

AU - Chen, Zhe

PY - 2017

Y1 - 2017

N2 - This paper reviews and compares the performance of reactive power dispatch strategies for the loss minimization of Doubly Fed Induction Generator (DFIG)-based Wind Farms (WFs). Twelve possible combinations of three WF level reactive power dispatch strategies and fourWind Turbine (WT) level reactive power control strategies are investigated. All of the combined strategies are formulated based on the comprehensive loss models of WFs, including the loss models of DFIGs, converters, filters, transformers, and cables of the collection system. Optimization problems are solved by a Modified Particle Swarm Optimization (MPSO) algorithm. The effectiveness of these strategies is evaluated by simulations on a carefully designed WF under a series of cases with different wind speeds and reactive power requirements of the WF. The wind speed at each WT inside the WF is calculated using the Jensen wake model. The results show that the best reactive power dispatch strategy for loss minimization comes when the WF level strategy and WT level control are coordinated and the losses from each device in the WF are considered in the objective.

AB - This paper reviews and compares the performance of reactive power dispatch strategies for the loss minimization of Doubly Fed Induction Generator (DFIG)-based Wind Farms (WFs). Twelve possible combinations of three WF level reactive power dispatch strategies and fourWind Turbine (WT) level reactive power control strategies are investigated. All of the combined strategies are formulated based on the comprehensive loss models of WFs, including the loss models of DFIGs, converters, filters, transformers, and cables of the collection system. Optimization problems are solved by a Modified Particle Swarm Optimization (MPSO) algorithm. The effectiveness of these strategies is evaluated by simulations on a carefully designed WF under a series of cases with different wind speeds and reactive power requirements of the WF. The wind speed at each WT inside the WF is calculated using the Jensen wake model. The results show that the best reactive power dispatch strategy for loss minimization comes when the WF level strategy and WT level control are coordinated and the losses from each device in the WF are considered in the objective.

KW - Doubly fed induction generator

KW - Loss minimization

KW - Reactive power dispatch

KW - Wind farm

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DO - 10.3390/en10070856

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