TY - GEN
T1 - A robust interval economic dispatch model accommodating large-scale wind power generation with consideration of price-based demand response
AU - Zhang, Liudong
AU - Yuan, Yubo
AU - Chen, Bing
AU - Su, Dawei
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/12
Y1 - 2017/7/12
N2 - Demand response can promote large-scale wind power accommodation via utilizing demand side resources to participate in power systems dispatch. Because the wind power uncertainty is neglected and the probabilistic model of wind power forecast error is difficult to be accurately obtained in the existing wind power dispatch models considering demand response, the impacts of wind power uncertainty on demand response load regulation are unable to be accurately evaluated. By utilizing the interval information of wind power forecast which can be conveniently obtained, the robust interval optimization method can be used to achieve the joint optimization of dynamic demand response load regulation and uncertain wind power accommodation. Therefore, a price-based demand response model is introduced to the conventional robust interval dynamic economic dispatch model, an hours-ahead robust interval economic dispatch model accommodating large-scale wind power with consideration of price-based demand response is developed and its solution method based on linear programming is proposed in this paper. Simulation studies on the IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.
AB - Demand response can promote large-scale wind power accommodation via utilizing demand side resources to participate in power systems dispatch. Because the wind power uncertainty is neglected and the probabilistic model of wind power forecast error is difficult to be accurately obtained in the existing wind power dispatch models considering demand response, the impacts of wind power uncertainty on demand response load regulation are unable to be accurately evaluated. By utilizing the interval information of wind power forecast which can be conveniently obtained, the robust interval optimization method can be used to achieve the joint optimization of dynamic demand response load regulation and uncertain wind power accommodation. Therefore, a price-based demand response model is introduced to the conventional robust interval dynamic economic dispatch model, an hours-ahead robust interval economic dispatch model accommodating large-scale wind power with consideration of price-based demand response is developed and its solution method based on linear programming is proposed in this paper. Simulation studies on the IEEE 26-generator reliability test system connected to a wind farm are presented to verify the effectiveness and advantage of the proposed model.
KW - Demand Response
KW - Robust Interval Optimization
KW - Uncertainty
KW - Wind Power Accommodation
UR - https://www.scopus.com/pages/publications/85028040096
U2 - 10.1109/CCDC.2017.7978379
DO - 10.1109/CCDC.2017.7978379
M3 - 会议稿件
AN - SCOPUS:85028040096
T3 - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
SP - 6679
EP - 6684
BT - Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 29th Chinese Control and Decision Conference, CCDC 2017
Y2 - 28 May 2017 through 30 May 2017
ER -