TY - GEN
T1 - A quadratic robust optimization model for automatic voltage control on wind farm side
AU - Tao, Ding
AU - Guo, Qinglai
AU - Sun, Hongbin
AU - Wang, Bin
AU - Xu, Fengda
PY - 2013
Y1 - 2013
N2 - Connecting high penetration of wind power into power grid usually makes voltage fluctuate, due to the volatile nature of wind power injection. This paper therefore proposes a quadratic robust optimization model to guarantee the voltage of each wind unit within the security region, no matter how the wind power varies. Based on the wind power prediction, the prediction error is regarded as uncertainties, and the robust solution can be found by regulating the reactive power equipment and each wind unit using the duality filter method. In the proposed model, linearized derivation instead of original non-linear expressions in the objective function and constraints has been utilized. Furthermore, inner loop iterative method is introduced to reduce the linearized error, which divides the optimal voltage control into multiple steps with piecewise values and updates the sensitivity at each step, according to different wind farm size and condition. A test system with 36 wind units has been simulated, and the result using Monte Carlo simulation. Comparison with traditional method shows the effectiveness of proposed method.
AB - Connecting high penetration of wind power into power grid usually makes voltage fluctuate, due to the volatile nature of wind power injection. This paper therefore proposes a quadratic robust optimization model to guarantee the voltage of each wind unit within the security region, no matter how the wind power varies. Based on the wind power prediction, the prediction error is regarded as uncertainties, and the robust solution can be found by regulating the reactive power equipment and each wind unit using the duality filter method. In the proposed model, linearized derivation instead of original non-linear expressions in the objective function and constraints has been utilized. Furthermore, inner loop iterative method is introduced to reduce the linearized error, which divides the optimal voltage control into multiple steps with piecewise values and updates the sensitivity at each step, according to different wind farm size and condition. A test system with 36 wind units has been simulated, and the result using Monte Carlo simulation. Comparison with traditional method shows the effectiveness of proposed method.
KW - automatic voltage control
KW - duality filter
KW - inner loop iteration
KW - robust optimization
KW - wind power
UR - https://www.scopus.com/pages/publications/84893172924
U2 - 10.1109/PESMG.2013.6672225
DO - 10.1109/PESMG.2013.6672225
M3 - 会议稿件
AN - SCOPUS:84893172924
SN - 9781479913039
T3 - IEEE Power and Energy Society General Meeting
BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013
T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013
Y2 - 21 July 2013 through 25 July 2013
ER -