Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm
Abstract
This study 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.
- Authors:
-
[2];
- Aalborg Univ., Aalborg (Denmark)
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- OSTI Identifier:
- 1375312
- Report Number(s):
- NREL/JA-5D00-69054
Journal ID: ISSN 1996-1073; ENERGA
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Energies (Basel)
- Additional Journal Information:
- Journal Name: Energies (Basel); Journal Volume: 10; Journal Issue: 7; Journal ID: ISSN 1996-1073
- Publisher:
- MDPI AG
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; 24 POWER TRANSMISSION AND DISTRIBUTION; doubly fed induction generator; reactive power dispatch; wind farm; loss minimization
Citation Formats
Zhang, Baohua, Hu, Weihao, Hou, Peng, Tan, Jin, Soltani, Mohsen, and Chen, Zhe. Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm. United States: N. p., 2017.
Web. doi:10.3390/en10070856.
Zhang, Baohua, Hu, Weihao, Hou, Peng, Tan, Jin, Soltani, Mohsen, & Chen, Zhe. Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm. United States. doi:10.3390/en10070856.
Zhang, Baohua, Hu, Weihao, Hou, Peng, Tan, Jin, Soltani, Mohsen, and Chen, Zhe. Tue .
"Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm". United States. doi:10.3390/en10070856. https://www.osti.gov/servlets/purl/1375312.
@article{osti_1375312,
title = {Review of Reactive Power Dispatch Strategies for Loss Minimization in a DFIG-based Wind Farm},
author = {Zhang, Baohua and Hu, Weihao and Hou, Peng and Tan, Jin and Soltani, Mohsen and Chen, Zhe},
abstractNote = {This study 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.},
doi = {10.3390/en10070856},
journal = {Energies (Basel)},
number = 7,
volume = 10,
place = {United States},
year = {2017},
month = {6}
}
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Works referencing / citing this record:
Multi-Objective Optimization for Determining Trade-Off between Output Power and Power Fluctuations in Wind Farm System
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