• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2019, Vol. 40 ›› Issue (1): 19-26.doi: 10.3969/j.issn.1000-7229.2019.01.003

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Heat and Power Scheduling of a Virtual Power Plant Considering Comfort Level of Customers

DONG Jingying1,ZHOU Bo2,LIU Jinyuan2,GAO Hongjun2,SHI Yudong1,LIU Junyong2,L Lin2   

  1. 1. State Grid Sichuan Electric Power Company,Chengdu 610064,China;2. College of Electrical Engineering and Information Technology,Sichuan University,Chengdu 610065,China
  • Online:2019-01-01
  • Supported by:
    his work is supported by the Fundamental Research Funds for the Central Universities(No. YJ201750) and National Natural Science Foundation of China(No. 51377111 ).

Abstract: Combined heat and power (CHP) units operates at the "ordering power by heat" mode, which causes the insufficient of the peak shaving capacity and restricts the wind power integration, breaking the rigid coupling of electric power generation and heat supply is the key to alleviate the problem of wind power curtailment. Aiming to solve the problems, this paper adopts virtual power plant model combined CHP units and other distributed energy as a whole to participate in the grid operation, the fixed load curve is converted into an demand interval by fully considering the customers comfort level. It can flexibly adjust the output of the CHP unit while satisfying the customers comfort level and effectively reduce wind curtailment. In addition, using multi-scenario method to deal with wind power output uncertainty, a stochastic programming model with the goal of maximizing the profit of the VPP is established, which can realize coordinated scheduling optimization of heat and electric power. Finally, an example is given to verify the validity and rationality of the constructed model. The results show that considering user comfort can effectively promote wind power consumption and improve the economic efficiency of virtual power plants.

Key words: virtual power plant, combined heat and power (CHP), comfort level, wind power consumption

CLC Number: