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author:

Xie, S. (Xie, S..) [1] (Scholars:谢仕炜) | Wu, Q. (Wu, Q..) [2] | Zhang, M. (Zhang, M..) [3] | Guo, Y. (Guo, Y..) [4]

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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. IEEE

Keyword:

Behavioral sciences Energy consumption Energy pricing Hybrid electric vehicles hybrid hydrogen-electric vehicle Hydrogen Manganese multi-energy networks Pricing variational inequality Vehicles

Community:

  • [ 1 ] [Xie S.]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Wu Q.]Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China
  • [ 3 ] [Zhang M.]School of Automation, China University of Geosciences, Wuhan, China
  • [ 4 ] [Guo Y.]Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

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Source :

IEEE Transactions on Power Systems

ISSN: 0885-8950

Year: 2024

Issue: 6

Volume: 39

Page: 1-13

6 . 5 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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