Optimal Pricing Strategies of Power-traffic Coupled Networks Considering Mixed Demand Uncertainties

被引：0

作者：

Xie S. ^{[1
]}

Zhang Y. ^{[1
]}

Shu S. ^{[1
]}

Chen Z. ^{[1
]}

Zhang M. ^{[2
]}

机构：

[1] School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou

[2] School of Automation, China University of Geosciences, Hubei Province, Wuhan

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 22期

基金：

中国国家自然科学基金;

关键词：

coupled power-traffic network; mixed user equilibrium; optimal pricing; variational inequality;

D O I：

10.13334/j.0258-8013.pcsee.220181

中图分类号：

学科分类号：

摘要：

With the deepening integration of power and transportation networks, it is crucial to study effective strategies to optimize the overall system. Based on variational inequality, this paper proposes an optimal pricing strategy for coupled network considering mixed demand uncertainties to guide the system to achieve the optimal operation state under uncertain risk. First, this paper studies the road congestion toll strategy to promote the optimal operating of the transportation system, which theoretically shows that the strategy can guide and change the behavior of users and realize the optimal operation state of the system. Secondly, the optimal pricing model of the coupled network is proposed, and its equivalent variational inequality form is derived. On this basis, a robust pricing model of power transportation coupling network considering mixed demand uncertainty and its equivalent variational inequality form are proposed to transform the complex robust optimization problem into a variational inequality problem, which provides a new solution to the complex robust optimization problem of power transportation coupling network. Finally, the simulation based on the test system can verify the effectiveness of the proposed method. ©2023 Chin.Soc.for Elec.Eng.

引用

页码：8652 / 8665

页数：13

共 30 条

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