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  • 标题:A Bidding Model for a Virtual Power Plant via Robust Optimization Approach
  • 本地全文:下载
  • 作者:Tianxiang Geng ; Tianxiang Geng ; Li Xiang
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2017
  • 卷号:95
  • 页码:1-4
  • DOI:10.1051/matecconf/20179515001
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The evolution of the energy markets has been accelerating the use of distributed energy resources (DERs) all over the world. Virtual power plant (VPP) is a new method to management this increasing two-way complexity. In this paper, a bidding model for a VPP via robust optimization in the uncertain environment of the electricity market is presented. The flexible feature embedded in the model with respect to solution accuracy and computation burden would be advantageous to the VPP. Results of a case study are provided to show the applicability of the proposed bidding model.
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