TY - JOUR
T1 - Cooperation-Driven Distributed Control Scheme for Large-Scale Wind Farm Active Power Regulation
AU - Gao, Xiaodan
AU - Meng, Ke
AU - Dong, Zhao Yang
AU - Wang, Dongxiao
AU - El Moursi, Mohamed Shawky
AU - Wong, Kit Po
N1 - Funding Information:
Manuscript received August 15, 2016; revised February 7, 2017 and May 6, 2017; accepted May 17, 2017. Date of publication May 23, 2017; date of current version August 18, 2017. This work was supported in part by the Faculty of Engineering and Information Technologies, University of Sydney, under the Mid-Career Researcher Development Scheme, in part by the ARC Discovery Grant DP170103427, in part by the Australia-Indonesia Centre Energy Cluster, and in part by the 2015 Science and Technology Project of China Southern Power Grid (WYKJ00000027). Paper no. TEC-00699-2016. (Corresponding author: Ke Meng.) X. Gao and D. Wang are with the Centre for Intelligent Electricity Networks, University of Newcastle, Newcastle, N.S.W. 2308, Australia (e-mail: [email protected]; [email protected]).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/9
Y1 - 2017/9
N2 - 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.
AB - 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.
KW - Consensus algorithm
KW - kinetic energy
KW - variable speed wind turbine
KW - wind farm distributed control
UR - http://www.scopus.com/inward/record.url?scp=85029509262&partnerID=8YFLogxK
U2 - 10.1109/TEC.2017.2706960
DO - 10.1109/TEC.2017.2706960
M3 - Article
AN - SCOPUS:85029509262
SN - 0885-8969
VL - 32
SP - 1240
EP - 1250
JO - IEEE Transactions on Energy Conversion
JF - IEEE Transactions on Energy Conversion
IS - 3
M1 - 7932462
ER -