Modeling of Electric Vehicles as Mobile Energy Storage Systems Considering Multiple Congestions

YAN Haoyuan; ZHAO Tianyang; LIU Xiaochuan; DING Zhaohao

doi:10.21656/1000-0887.430303

Volume 43 Issue 11

Nov. 2022

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YAN Haoyuan, ZHAO Tianyang, LIU Xiaochuan, DING Zhaohao. Modeling of Electric Vehicles as Mobile Energy Storage Systems Considering Multiple Congestions[J]. Applied Mathematics and Mechanics, 2022, 43(11): 1214-1226. doi: 10.21656/1000-0887.430303

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Modeling of Electric Vehicles as Mobile Energy Storage Systems Considering Multiple Congestions

doi: 10.21656/1000-0887.430303

1.
Energy and Electricity Research Center, Jinan University, Zhuhai, Guangdong 519070, P.R.China
2.
Energy Research Institute, Nanyang Technological University, 639798, Singapore
3.
School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, P.R.China

Received Date: 2022-10-04
Accepted Date: 2022-12-05
Rev Recd Date: 2022-11-23

Available Online: 2022-12-06

Publish Date: 2022-11-30

Abstract

Abstract

To realize the optimal operation of urban coupled transportation power systems underthe road, charging facilities, and transmission line congestions, a dynamic optimal traffic power flow (DOTPF) model was formulated under congestions. Based on the time space network (TSN) approach, a novel TSN with queues was proposed, considering the moving, parking, charging, and queueing state transitions. A vehicle routing problem was formulated for electric vehicles (EVs) and further incorporated into the dynamic traffic assignment problem (DTAP), reducing the traffic demand losses. With security and reserve constraints, a dynamic security-constrained carbon dioxide-oriented optimal power flow (OPF) problem was formulated to reduce the carbon emission and generation cost, by optimizing the scheduling of thermal units and energy storage systems. A multi-objective DOTPF problem was formulated, and further reformulated into a convex mixed-integer quadratic programming problem. The effectiveness of the proposed DOTPF was verified based on the simulation results on coupled IEEE-30 and Sioux Falls system.
- congestions,
- dynamic traffic assignment,
- times space network with queues,
- urban coupled transportation power systems

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References(19)

References

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