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author:

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

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EI Scopus SCIE

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.

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, Shiwei]Fuzhou Univ, Sch Elect Engn & Automat, Fuzhou 350108, Peoples R China
  • [ 2 ] [Wu, Qiuwei]Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
  • [ 3 ] [Guo, Ye]Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R China
  • [ 4 ] [Zhang, Menglin]China Univ Geosci, Sch Automat, Wuhan 430074, Peoples R China

Reprint 's Address:

  • [Wu, Qiuwei]Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Tsinghua Shenzhen Int Grad Sch, Shenzhen 518055, Peoples R 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

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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