LAPSE:2019.1387
Published Article
LAPSE:2019.1387
Relative Voltage Control of the Wind Farms Based on the Local Reactive Power Regulation
Yangyang Zhao, Jianyun Chai, Xudong Sun
December 10, 2019
The fast and coordinated voltage control of distributed nodes inside a large scale wind farm is a stringent issue. To achieve the reactive power compensation without a dedicated upper communication system, this paper proposes a relative control strategy based on the local reactive power regulation. This method can realize the voltage coordination of the key equipment and feeder line nodes, on the basis of the relative voltage observations. Firstly, the stability analysis of a certain wind farm with pre-known parameters and structure is studied under the wind power fluctuations. Secondly, the optimal capacity configurations of the reactive power compensators are discussed, with multiple nodes inside the wind farms. Simulation results of a specific wind farm in North Hebei, China, validate the effectiveness of the proposed control, which is equipped with fast and stable voltage dynamic responses, as well as local reactive power compensations without remote communication.
Keywords
distributed voltage control, local reactive power regulation, relative voltage observation, wind farm
Suggested Citation
Zhao Y, Chai J, Sun X. Relative Voltage Control of the Wind Farms Based on the Local Reactive Power Regulation. (2019). LAPSE:2019.1387
Author Affiliations
Zhao Y: State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China [ORCID]
Chai J: State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
Sun X: State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
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Journal Name
Energies
Volume
10
Issue
3
Article Number
E281
Year
2017
Publication Date
2017-02-27
Published Version
ISSN
1996-1073
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PII: en10030281, Publication Type: Journal Article
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LAPSE:2019.1387
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doi:10.3390/en10030281
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Dec 10, 2019
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Dec 10, 2019
 
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Calvin Tsay
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