- Title
- Cooperation-driven dstributed control scheme for large-scale wind farm active power regulation
- Creator
- Gao, Xiaodan; Meng, Ke; Dong, Zhao Yang; Wang, Dongxiao; El Moursi, Mohamed Shawky; Wong, Kit Po
- Relation
- ARC.DP170103427 http://purl.org/au-research/grants/arc/DP170103427
- Relation
- IEEE Transactions on Energy Conversion Vol. 32, Issue 3, p. 1240-1250
- Publisher Link
- http://dx.doi.org/10.1109/TEC.2017.2706960
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- journal article
- Date
- 2017
- Description
- Being more actively involved in the electricity market and power systems, wind farms are urgently expected to have similar controllable behavior to conventional generations so that demand assigned by the system operator can be met. However, determining the method of dispatching the reference among the widely spread and low-rating wind turbines is difficult. This paper provides a cooperation-driven distributed control scheme for wind farm active power regulation. Instead of competing with neighboring controllers completely, the control strategy evaluates system-wide impacts of local control actions, and aims to achieve coordinated control effect. In addition, the kinetic energy storage potential in a wind turbine is tapped to provide a buffer for power dispatch. Case studies demonstrate that a large wind farm can be effectively controlled to accurately track the demand power through the proposed control scheme.
- Subject
- consensus algorithm; kinetic energy; variable speed wind turbine; wind farm distributed control
- Identifier
- http://hdl.handle.net/1959.13/1354923
- Identifier
- uon:31387
- Identifier
- ISSN:0885-8969
- Language
- eng
- Reviewed
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