Power-traffic coordinated operation for bi-peak shaving and bi-ramp smoothing – A hierarchical data-driven approach

Jiang, Huaiguang; Zhang, Yingchen; Chen, Yuche; Zhao, Changhong; Tan, Jin

doi:10.1016/j.apenergy.2018.06.021

Title: Power-traffic coordinated operation for bi-peak shaving and bi-ramp smoothing – A hierarchical data-driven approach

Journal Article · Fri Aug 17 00:00:00 EDT 2018 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2018.06.021· OSTI ID:1467100

Jiang, Huaiguang ^[1]; Zhang, Yingchen ^[1]; Chen, Yuche ^[1]; Zhao, Changhong ^[1]; Tan, Jin ^[1]

National Renewable Energy Lab. (NREL), Golden, CO (United States)

The power distribution system and urban transportation system are two networked system bare their own operation constraints, such peak load in power systems and traffic congestion in transportation system. With the increasing number of electrical vehicles and charging/discharging stations, two systems are become tightly coupled. However, to optimize the two systems target using electrical vehicles as decision control variables cannot be easily solved using a uniformed optimization frame work. Thus we propose a hierarchical optimization approach to address this problem, which consists of a higher and a lower level. In the higher level, the power distribution system and urban transportation system are treated together to minimize the social cost. Meanwhile, the electrical vehicles and the charging/discharging stations are treated as customers to minimize their own expenditures. Then, an equilibrium is designed to determine the optimal charging/discharging price. In the lower level, the models of power distribution system and urban transportation system are developed to provide a detailed analysis. Specifically, in power distribution system, the three-phase unbalanced optimal power flow problem is relaxed with the semidefinite relaxation programming, and solved with alternating direction method of multiplier. A dynamic user equilibrium problem is formulated for the urban transportation system. For electrical vehicles, the state of charge is considered to optimize the charging/discharging schedule and reduce the impacts of power distribution systems. We conducted the simulation and numerical analysis using the IEEE 8500-bus distribution system and the Sioux Falls system with about 10,000 cars. The results demonstrate the feasibility and effectiveness of the proposed approach.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Grid Modernization Laboratory Consortium; USDOE

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1467100

Alternate ID(s):: OSTI ID: 1703420

Report Number(s):: NREL/JA-5D00-71721

Journal Information:: Applied Energy, Vol. 229, Issue C; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 24 works

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Title: Power-traffic coordinated operation for bi-peak shaving and bi-ramp smoothing – A hierarchical data-driven approach

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