期刊论文详细信息
Frontiers in Energy Research
Optimal Planned Electricity Allocation Model for Power Exchange Under the Plan-Market Double-Track Mechanism
Li Yang1  Jiajun Tang1  Zhi Zhang1  Yating Li1  Zhenzhi Lin2  Weishi Zhang3  Zhemin Lin3  Chuan He3  Hanhan Qian3  Hailong Jiang3 
[1] Hangzhou, China;Hangzhou, China;Jinan, China;Hefei, China;Hefei, China;
关键词: plan-market double-track mechanism;    planned electricity;    conditional value at risk;    robust optimization;    lerner index;   
DOI  :  10.3389/fenrg.2021.679365
来源: Frontiers
PDF
【 摘 要 】

The orderly deregulation of planned electricity generation and consumption is an important measure for electricity market reform in several countries (such as China), and a reasonable proportion of planned electricity in the total energy consumption is conducive to the smooth transition from the regulation mode to the market mode. Under the plan-market double-track mechanism (PMDM) implemented, a modified linear bidding function of generation companies (GCs) is first proposed, and the unified clearing price of unilateral generation market is determined accordingly. Second, considering the robust bidding strategies of generation companies, a bi-level optimal planned electricity allocation model for power exchange (PX) is constructed. In the upper level, the proportion of planned electricity is optimized by PX to minimize the CVaR of Lerner Index (LI), so as to maintain the market power at a low level. In the lower level, based on the robust optimization theory and the prediction of rival bidding, the bidding strategy of a GC is optimized by solving a specified max–min problem. Simulations based on data from a provincial electricity market in China illustrate that the market power can be reduced through a reasonable proportion of planned electricity designed by the PX. In addition, when more GCs tend to avoid a market risk, the proportion of planned electricity can be increased accordingly.

【 授权许可】

CC BY   

【 预 览 】
附件列表
Files Size Format View
RO202107122716302ZK.pdf 2035KB PDF download
  文献评价指标  
  下载次数:6次 浏览次数:2次