Semantic Scholar Open Access 2023 41 sitasi

Congestion-Aware Dynamic Optimal Traffic Power Flow in Coupled Transportation Power Systems

Tianyang Zhao Haoyuan Yan Xiaochuan Liu Zhaohao Ding

Abstrak

Electrification of vehicles is strengthening the interaction between power systems and transportation systems, formulating the coupled transportation power systems (CTPSs). A novel optimal traffic power flow (OTPF) problem is proposed to analyze the spatial and temporal congestion propagation on CTPSs, under congested roads, transmission lines, and charging stations. The traffic flow is depicted by the spatial and temporal distribution of electric vehicles (EVs) on roads and charging stations, connected by multilayer time-space networks (TSNs). This distribution is the solution to a mesoscale traffic assignment problem of EV fleets on TSNs, where the charging, discharging, routing, and origin–destination pairing can be optimized simultaneously. The power flow is captured by the optima of dynamic optimal power flow problems with security constraints. An extended alternating direction multiplier method algorithm with the convex-concave procedure is proposed to solve OTPFs. Results verify the effectiveness of the proposed scheme for congestion management on CTPSs.

Topik & Kata Kunci

Penulis (4)

T

Tianyang Zhao

H

Haoyuan Yan

X

Xiaochuan Liu

Z

Zhaohao Ding

Format Sitasi

Zhao, T., Yan, H., Liu, X., Ding, Z. (2023). Congestion-Aware Dynamic Optimal Traffic Power Flow in Coupled Transportation Power Systems. https://doi.org/10.1109/TII.2022.3184413

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Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Total Sitasi
41×
Sumber Database
Semantic Scholar
DOI
10.1109/TII.2022.3184413
Akses
Open Access ✓