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author:

Xie, Shiwei (Xie, Shiwei.) [1] | Wu, Qiuwei (Wu, Qiuwei.) [2] | Zhang, Menglin (Zhang, Menglin.) [3] | Guo, Ye (Guo, Ye.) [4]

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EI

Abstract:

The increasing presence of hybrid hydrogen-electric vehicles (HEVs) in urban areas leads to interdependence among power networks (PNs), transportation networks (TNs), and hydrogen networks (HNs). Therefore, this paper proposes a new energy pricing scheme for multi-energy networks (MENs) considering the effect of HEV mobility. To capture the responsive behaviors of HEV drivers, a new user equilibrium (UE) model is proposed, which incorporates flow-dependent energy consumption of HEVs and their choices regarding routing, charging, and refueling. For mathematical tractability, the UE model is recast into a variational inequality (VI) formulation. Based on the VI formulation, a coordinated energy pricing scheme is proposed for the MENs to capture the interactions between pricing strategies and HEV user behaviors. The scheme is generalized as an optimization problem with VI constraints, and a fixed-point based iterative algorithm is developed to efficiently obtain the optimal solution. The case study results demonstrate the effectiveness of the pricing scheme, which successfully considers the behavior of HEV drivers and realizes the optimal operation of the MENs with HEV mobility. © 1969-2012 IEEE.

Keyword:

Behavioral research Costs Energy utilization Hybrid vehicles Iterative methods Manganese Timing circuits Urban transportation Variational techniques

Community:

  • [ 1 ] [Xie, Shiwei]The School of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Wu, Qiuwei]The Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen; 518055, China
  • [ 3 ] [Zhang, Menglin]The School of Automation, China University of Geosciences, Wuhan; 430074, China
  • [ 4 ] [Guo, Ye]The Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen; 518055, China

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Source :

IEEE Transactions on Power Systems

ISSN: 0885-8950

Year: 2024

Issue: 6

Volume: 39

Page: 7304-7317

6 . 5 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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