Profit allocation model of cooperative distributed energy resources based on bargaining game theory

被引：0
|
作者：
Qin T. [1 ]
Liu H. [1 ,2 ]
Wang J. [1 ]
Fang W. [1 ]
Feng Z. [1 ]
机构：
[1] School of Electrical and Information Engineering, Tianjin University, Tianjin
[2] Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2019年 / 39卷 / 01期
关键词：
Bargaining power; Distributed energy resources; Game theory; Profit allocation; VPP;
D O I：
10.16081/j.issn.1006-6047.2019.01.020
中图分类号：
学科分类号：
摘要：
The cooperative DERs(Distributed Energy Resources) in a VPP(Virtual Power Plant) usually belong to different interest entities, so a fair and reasonable profit allocation of VPP is crucial. A profit allocation model of DERs' joint participation in the short-term energy market is built based on bargaining game theory, which uses the utility function to reflect the degree of risk aversion, and comprehensively considers the quantified bargaining power levels of factors such as the marginal contribution, the forecasting accuracy of intermittent power generation, the pu-nishment strength of balancing market, etc. The feasibility and rationality of the proposed model are verified by the actual case analysis of VPP. The proposed model can effectively evaluate the characteristics of each DER, guarantee relative allocation fairness and coalition stability, form a positive incentive and guide for DERs' behaviors, and improve economic interests. © 2019, Electric Power Automation Equipment Press. All right reserved.
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页码：134 / 140
页数：6
相关论文
共 18 条
  • [1] Wu W., Liu J., Liu Y., Et al., Research summary of intelligent sales and marketing of smart grid(4): innovation brought by DER, Electric Power Automation Equipment, 30, 5, pp. 131-135, (2010)
  • [2] Zang H., Yu S., Wei Z., Et al., Safety-constrained two-layer optimal dispatch of virtual power plant, Electric Power Automation Equipment, 36, 8, pp. 96-102, (2016)
  • [3] Ren H., Yang J., Ban Y., Et al., Exploration and prospect of distributed energy internet, Energy of China, 37, 3, pp. 38-41, (2015)
  • [4] Zhang G., Chen X., Future development of energy internet, Electric Power Automation Equipment, 37, 1, pp. 1-7, (2017)
  • [5] Yu S., Wei Z., Sun G., Et al., A bidding model for a virtual power plant considering uncertainties, Automation of Electric Power Systems, 38, 22, pp. 43-49, (2014)
  • [6] Sun G., Yuan Z., Xu X., Et al., Bidding model based on robust optimization for virtual power plant under carbon emission constraint, Electric Power Automation Equipment, 37, 2, pp. 97-103, (2017)
  • [7] Zhou Y., Sun G., Huang W., Et al., Strategic bidding model for virtual power plant in different electricity markets considering electric vehicles and demand response, Power System Technology, 41, 6, pp. 1759-1766, (2017)
  • [8] Dong W., Wang Q., Yang L., A coordinated dispatching model for a distribution utility and virtual power plants with wind/photovoltaic/hydro generators, Automation of Electric Power Systems, 39, 9, pp. 75-81, (2015)
  • [9] Dabbagh S.R., Sheikh-El-Eslami M.K., Risk-based profit allocation to DERs integrated with a virtual power plant using coope-rative game theory, Electric Power Systems Research, 121, pp. 368-378, (2015)
  • [10] Cheng Y., Fan S., Ni J., Et al., An innovative profit allocation to distributed energy resources integrated into virtual power plant, International Conference on Renewable Power Generation(RPG 2015), pp. 1-6, (2015)
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