Home>Results

  • Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

[期刊论文]

Optimal Pricing Strategies of Power-traffic Coupled Networks Considering Mixed Demand Uncertainties; [考虑混合需求不确定性的电力–交通耦合网络最优定价策略]

Share
Edit Delete 报错

author:

Xie, S. (Xie, S..) [1] (Scholars:谢仕炜) | Zhang, Y. (Zhang, Y..) [2] (Scholars:张亚超) | Shu, S. (Shu, S..) [3] (Scholars:舒胜文) | Unfold

Indexed by:

EI Scopus PKU CSCD

Abstract:

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.

Keyword:

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

Community:

  • [ 1 ] [Xie S.]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 2 ] [Zhang Y.]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 3 ] [Shu S.]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 4 ] [Chen Z.]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou, 350108, China
  • [ 5 ] [Zhang M.]School of Automation, China University of Geosciences, Hubei Province, Wuhan, 430074, China

Reprint 's Address:

Show more details

Version:

Source :

Proceedings of the Chinese Society of Electrical Engineering

ISSN: 0258-8013

CN: 11-2107/TM

Year: 2023

Issue: 22

Volume: 43

Page: 8652-8665

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

30 Days PV: 0

Online/Total:64/10050171
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1