Robust Day-ahead Economic Dispatch of Microgrid with Combined Heat and Power System Considering Wind Power Accommodation

被引：0
|
作者：
Zhu J. [1 ]
Liu Y. [1 ]
Xu L. [1 ]
Jiang Z. [1 ]
Ma C. [1 ]
机构：
[1] College of Electrical Engineering and Information Technology, Sichuan University, Chengdu
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 04期
关键词：
Bi-level robust optimization; Big-M method; Column and constraint generation algorithm; Microgrid; Predictive deviation control; Strong duality theorem;
D O I：
10.7500/AEPS20180214007
中图分类号：
学科分类号：
摘要：
To address the uncertainty of wind power in the microgrid with the combined heat and power system, a bi-level robust model is presented to obtain the optimal scheduling scheme in the worst-case scenario. The objective function inside the model is designed by considering the costs of controllable generators and electricity purchasing (selling). To improve the ability of microgrid to accommodate the wind power, the abandoned wind curtailment cost is introduced into the objective function. Considering that the inner and outer layers of model interact with each other, the primal problem is decomposed into the day-ahead scheduling problem and the sub-problem which considers the uncertainty of wind power. In the solving process, the strong duality theorem is employed to transform the sub-problem with max-min structure into an equivalent problem. In addition, the bilinear terms in the dual problem is converted into linear terms by using the Big-M method. Finally, the problem is solved by the column and constraint generation (C&CG) algorithm. Experiment results indicate the effectiveness of the proposed method. ©2019 Automation of Electric Power Systems Press.
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页码：40 / 48
页数：8
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