Abstract
Extracting the maximum possible kinetic energy from the ambient environment and enhancing the output power quality are two main concerning issues on the topic of integrating renewable energy resources with power grids. For this purpose, we propose a dynamic state estimation (DSE)-based sliding mode control (SMC) strategy to achieve such control purposes for doubly fed induction generator (DFIG) wind turbines connected to multi-machine power grids. The newly devised method leverages cutting-edge smart-grid technology for the design of dynamic state estimator, and the acquired states of sensorless DFIG systems are then utilized in the construction of the SMC scheme. A dechattering method is also proposed to alleviate unnecessary switchings that intrinsically exist in the original SMC scheme. Compared with the conventional control method, when operating under high wind speeds, the newly designed SMC strategy of DFIGs is capable of producing a faster response time, a higher mechanical energy extraction percentage, and a better power quality. Owing to the modern smart-grid technology and simplicity in implementing the SMC strategy, the proposed control method infers its potential of practical applications in industrial vision.
| Original language | English |
|---|---|
| Article number | 8548612 |
| Pages (from-to) | 76596-76605 |
| Number of pages | 10 |
| Journal | IEEE Access |
| Volume | 6 |
| DOIs | |
| Publication status | Published - 1 Jan 2018 |
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A DSE-Based SMC method of sensorless dfig wind turbines connected to power grids for energy extraction and power quality enhancement. / Yu, Samson Shenglong; Zhang, Guidong; Fernando, Tyrone; Iu, Herbert Ho Ching.
In: IEEE Access, Vol. 6, 8548612, 01.01.2018, p. 76596-76605.Research output: Contribution to journal › Article
TY - JOUR
T1 - A DSE-Based SMC method of sensorless dfig wind turbines connected to power grids for energy extraction and power quality enhancement
AU - Yu, Samson Shenglong
AU - Zhang, Guidong
AU - Fernando, Tyrone
AU - Iu, Herbert Ho Ching
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Extracting the maximum possible kinetic energy from the ambient environment and enhancing the output power quality are two main concerning issues on the topic of integrating renewable energy resources with power grids. For this purpose, we propose a dynamic state estimation (DSE)-based sliding mode control (SMC) strategy to achieve such control purposes for doubly fed induction generator (DFIG) wind turbines connected to multi-machine power grids. The newly devised method leverages cutting-edge smart-grid technology for the design of dynamic state estimator, and the acquired states of sensorless DFIG systems are then utilized in the construction of the SMC scheme. A dechattering method is also proposed to alleviate unnecessary switchings that intrinsically exist in the original SMC scheme. Compared with the conventional control method, when operating under high wind speeds, the newly designed SMC strategy of DFIGs is capable of producing a faster response time, a higher mechanical energy extraction percentage, and a better power quality. Owing to the modern smart-grid technology and simplicity in implementing the SMC strategy, the proposed control method infers its potential of practical applications in industrial vision.
AB - Extracting the maximum possible kinetic energy from the ambient environment and enhancing the output power quality are two main concerning issues on the topic of integrating renewable energy resources with power grids. For this purpose, we propose a dynamic state estimation (DSE)-based sliding mode control (SMC) strategy to achieve such control purposes for doubly fed induction generator (DFIG) wind turbines connected to multi-machine power grids. The newly devised method leverages cutting-edge smart-grid technology for the design of dynamic state estimator, and the acquired states of sensorless DFIG systems are then utilized in the construction of the SMC scheme. A dechattering method is also proposed to alleviate unnecessary switchings that intrinsically exist in the original SMC scheme. Compared with the conventional control method, when operating under high wind speeds, the newly designed SMC strategy of DFIGs is capable of producing a faster response time, a higher mechanical energy extraction percentage, and a better power quality. Owing to the modern smart-grid technology and simplicity in implementing the SMC strategy, the proposed control method infers its potential of practical applications in industrial vision.
KW - dechattering method
KW - DFIG wind turbines
KW - dynamic state estimation
KW - power quality
KW - sliding mode control
UR - http://www.scopus.com/inward/record.url?scp=85057784067&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2883591
DO - 10.1109/ACCESS.2018.2883591
M3 - Article
VL - 6
SP - 76596
EP - 76605
JO - IEEE Access
JF - IEEE Access
SN - 2169-3536
M1 - 8548612
ER -