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基于信息间隙决策理论的绿证实时定价问题研究

李军祥 刘艳丽 王溪

电力系统保护与控制2024,Vol.52Issue(24):32-43,12.
电力系统保护与控制2024,Vol.52Issue(24):32-43,12.DOI:10.19783/j.cnki.pspc.240020

基于信息间隙决策理论的绿证实时定价问题研究

Green certificate real-time pricing based on information gap decision theory

李军祥 1刘艳丽 1王溪1

作者信息

  • 1. 上海理工大学管理学院和智慧应急管理学院,上海 200093
  • 折叠

摘要

Abstract

With the steady enhancement of the green certificate trading system,maintaining the equilibrium between supply and demand in the green certificate trading market,alongside addressing peak shaving and valley filling challenges,has emerged as a pressing concern.To tackle this issue,inspired by the concept of real-time electricity pricing,a demand-based real-time green certificate pricing mechanism is put forth.A model aimed at maximizing system social welfare is formulated,employing the Lagrange duality and gradient projection methods to compute the Lagrange multiplier,commonly referred to as the shadow price,the optimal real-time pricing for green certificates is thus obtained.Secondly,taking into account the uncertainty associated with renewable energy output,both risk aversion and risk-seeking models are established through the incorporation of information gap decision theory(IGDT).Changes in social welfare under varying attitudes of renewable energy aggregators are investigated,providing valuable insights for maintaining the economic stability of the system.Finally,simulations are performed using Yalmip and Gurobi.The results demonstrate that the proposed model effectively balances green certificate supply and demand,enhances renewable energy utilization,and accomplishes the objective of low-carbon,economically stable system operation.

关键词

可再生能源/绿色证书/实时定价/影子价格/信息间隙决策理论

Key words

renewable energy/green certificate/real-time pricing/shadow price/information gap decision theory

引用本文复制引用

李军祥,刘艳丽,王溪..基于信息间隙决策理论的绿证实时定价问题研究[J].电力系统保护与控制,2024,52(24):32-43,12.

基金项目

This work is supported by the National Natural Science Foundation of China(No.72071130 and No.71871144). 国家自然科学基金项目资助(72071130,71871144) (No.72071130 and No.71871144)

大学生创新项目资助(XJ2023156) (XJ2023156)

电力系统保护与控制

OA北大核心CSTPCD

1674-3415

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