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author:

Xie, Shiwei (Xie, Shiwei.) [1] | Zhang, Yachao (Zhang, Yachao.) [2] | Shu, Shengwen (Shu, Shengwen.) [3] | Chen, Zhidong (Chen, Zhidong.) [4] | Zhang, Menglin (Zhang, Menglin.) [5]

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EI 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:

Complex networks Costs Optimization Traffic congestion Variational techniques

Community:

  • [ 1 ] [Xie, Shiwei]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 2 ] [Zhang, Yachao]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 3 ] [Shu, Shengwen]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 4 ] [Chen, Zhidong]School of Electrical Engineering and Automation, Fuzhou University, Fujian Province, Fuzhou; 350108, China
  • [ 5 ] [Zhang, Menglin]School of Automation, China University of Geosciences, Hubei Province, Wuhan; 430074, China

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中国电机工程学报

ISSN: 0258-8013

Year: 2023

Issue: 22

Volume: 43

Page: 8652-8665

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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