TY - JOUR
T1 - Optimized Power Dispatch in Wind Farms for Power Maximizing Considering Fatigue Loads
AU - Zhang, Baohua
AU - N. Soltani, Mohsen
AU - Hu, Weihao
AU - Hou, Peng
AU - Huang, Qi
AU - Chen, Zhe
PY - 2018/4
Y1 - 2018/4
N2 - Wake effects in a wind farm (WF) include the wind velocity deficit and added turbulence. The wind velocity deficit may bring significant loss of the wind power and the added turbulence may cause extra fatigue load on the wind turbines (WTs). Inclusion of the wake effects in the wind farm control design can increase the total captured power by derating the upwind WTs. However, this may increase the turbulence and cause more fatigue load on the downwind WTs. This paper proposes an optimized active power dispatch strategy for WFs to maximize the total captured power while maintaining the fatigue load of the shafts and the towers within a certain range from the values using traditional strategy, which adopts maximum power point tracking (MPPT) control for each WT. A WT derating control strategy is included in the WT controller and the fatigue load for the tower and shaft is evaluated offline at a series of turbulence intensity, mean wind speed and active power reference to form a lookup table, which is used for the WF control. The proposed strategy is compared with WT MPPT control strategy and WF MPPT control strategy. The simulation results show the effectiveness of the proposed strategy.
AB - Wake effects in a wind farm (WF) include the wind velocity deficit and added turbulence. The wind velocity deficit may bring significant loss of the wind power and the added turbulence may cause extra fatigue load on the wind turbines (WTs). Inclusion of the wake effects in the wind farm control design can increase the total captured power by derating the upwind WTs. However, this may increase the turbulence and cause more fatigue load on the downwind WTs. This paper proposes an optimized active power dispatch strategy for WFs to maximize the total captured power while maintaining the fatigue load of the shafts and the towers within a certain range from the values using traditional strategy, which adopts maximum power point tracking (MPPT) control for each WT. A WT derating control strategy is included in the WT controller and the fatigue load for the tower and shaft is evaluated offline at a series of turbulence intensity, mean wind speed and active power reference to form a lookup table, which is used for the WF control. The proposed strategy is compared with WT MPPT control strategy and WF MPPT control strategy. The simulation results show the effectiveness of the proposed strategy.
KW - Wind farm
KW - Active power dispatch
KW - Power maximizing
KW - Fatigue load reduction
KW - Added turbulence
UR - http://www.scopus.com/inward/record.url?scp=85044471224&partnerID=8YFLogxK
U2 - 10.1109/TSTE.2017.2763939
DO - 10.1109/TSTE.2017.2763939
M3 - Journal article
VL - 9
SP - 862
EP - 871
JO - I E E E Transactions on Sustainable Energy
JF - I E E E Transactions on Sustainable Energy
SN - 1949-3029
IS - 2
ER -