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 and Zhe Chen
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Baohua Zhang: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Weihao Hu: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Peng Hou: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Jin Tan: National Renewable Energy Laboratory, Golden, CO 80401, USA
Mohsen Soltani: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark
Zhe Chen: Department of Energy Technology, Aalborg University, Aalborg 9220, Denmark

Energies, 2017, vol. 10, issue 7, 1-17

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 four Wind 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; reactive power dispatch; wind farm; loss minimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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