Coordinated Operation of Electrified Transportation Networks Considering Road Capacity Drop

This paper proposes an optimal transportation-power flow (OTPF) model to manage electrified transportation networks (ETNs) with dynamic wireless charging (DWC) facilities. The transportation network (TN) model, considering the road capacity drop, is adopted for traffic flow assignment. The Distflow model is used to calculate the power flow in the power distribution network (PDN). Energy storage systems (ESSs) and flexible loads (FLs) are integrated into the coordinated operation of ETNs to enhance the economy and security of the system. To address fluctuations and variations in renewable energy generation, model predictive control (MPC) is adopted. The proposed MPC-based OTPF model is formulated as a nonlinear and non-convex problem. To obtain the global optimal solution, it is further transformed into a mixed-integer second-order cone programming (MISOCP) problem by using second-order cone (SOC) relaxation, piecewise linearization, and the Big-M method. Case studies verify the significant influence of road capacity drop on the operation of ETNs.

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Published
2024-10-14
DOI
https://doi.org/10.1109/isgteurope62998.2024.10863770
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
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article

Coordinated Operation of Electrified Transportation Networks Considering Road Capacity Drop

Yunhe Hou, Xin Cui, Liang Liang
Railway Systems and Energy Efficiency
article

Coordinated Operation of Electrified Transportation Networks Considering Road Capacity Drop

Yunhe Hou, Xin Cui, Liang Liang
article en

Abstract

This paper proposes an optimal transportation-power flow (OTPF) model to manage electrified transportation networks (ETNs) with dynamic wireless charging (DWC) facilities. The transportation network (TN) model, considering the road capacity drop, is adopted for traffic flow assignment. The Distflow model is used to calculate the power flow in the power distribution network (PDN). Energy storage systems (ESSs) and flexible loads (FLs) are integrated into the coordinated operation of ETNs to enhance the economy and security of the system. To address fluctuations and variations in renewable energy generation, model predictive control (MPC) is adopted. The proposed MPC-based OTPF model is formulated as a nonlinear and non-convex problem. To obtain the global optimal solution, it is further transformed into a mixed-integer second-order cone programming (MISOCP) problem by using second-order cone (SOC) relaxation, piecewise linearization, and the Big-M method. Case studies verify the significant influence of road capacity drop on the operation of ETNs.

Harbin Institute of Technology (CN), City University of Hong Kong, Shenzhen Research Institute (CN), University of Hong Kong (HK)
National Natural Science Foundation of China
Openalex Percentile: Top 60%
Railway Systems and Energy Efficiency
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Coordinated Operation of Electrified Transportation Networks Considering Road Capacity Drop — Yunhe Hou, Xin Cui, et al. · (2024) | TGRS Research Map | TGRS