ISSN 1000-1026
CN 32-1180/TP
  • ISSN 1000-1026
  • CN 32-1180/TP

Citation: ZHU Jiayuan,LIU Yang,XU Lixiong,JIANG Zhuozhen,MA Chenxiao.Day-ahead Economic Dispatch of Microgrid with Combined Heat and Power System considering Wind Power Accommodation Based on the Robust Optimization[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20180214007 copy

Day-ahead Economic Dispatch of Microgrid with Combined Heat and Power System considering Wind Power Accommodation Based on the Robust Optimization

  • Received Date: February 14, 2018
    Accepted Date: June 27, 2018
    Available Online: 2019-01-10

  • Abstract:

        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). Additionally 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 into an equivalent maximization 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 presented method.


  • Keywords:

    bi-level robust optimization; predictive deviation control; layered iteration; column and constraint generation algorithm; strong duality theorem; Big-M method


Metrics
  • PDF Downloads(14)
  • Abstract views(43)
Share

/

DownLoad:  Full-Size Img  PowerPoint
Return

Copyright ©2018 Editorial Office of Automation of Electric Power Systems

Addr: No.19 Chengxin Avenue, Nanjing 211106, Jiangsu Province, P. R. China

Tel: 025-81093050 Fax: 025-81093040 E-mail: aeps@alljournals.cn

ICP备案号:苏ICP备09008660号

苏公网安备 32011502010891号