Coordinated Planning of Transportation and Electric Power Networks With the Proliferation of Electric Vehicles

The interdependency of transportation and electric power networks is becoming tighter due to the proliferation of electric vehicles (EVs), which introduces additional difficulties in the planning of the two networks. This paper presents the enhanced solution for the coordinated planning of multiple...

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Veröffentlicht in:IEEE transactions on smart grid Jg. 11; H. 5; S. 4005 - 4016
Hauptverfasser: Gan, Wei, Shahidehpour, Mohammad, Yan, Mingyu, Guo, Jianbo, Yao, Wei, Paaso, Aleksi, Zhang, Liuxi, Wen, Jinyu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Coordinated planning of transportation and electric power networks
Electric power
Electric power lines
Electric vehicles
Energy storage
fast-charging station
Investment
Kuhn-Tucker method
Mixed integer
mixed-integer quadratically constrained programming
Networks
Optimization
Planning
Power lines
power loss
Power systems
Roads
Solvers
Storage systems
Traffic congestion
Transportation
ISSN:1949-3053, 1949-3061
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Zusammenfassung:The interdependency of transportation and electric power networks is becoming tighter due to the proliferation of electric vehicles (EVs), which introduces additional difficulties in the planning of the two networks. This paper presents the enhanced solution for the coordinated planning of multiple facilities in the two networks, including electric power lines, transportation roads, energy storage systems and fast charging stations. In order to calculate the optimal solution for the proposed coordinated planning problem, we introduce the applications of linear optimization theory including Karush-Kuhn-Tucker conditions, the big M method, and a linear expression of power loss to transform the nonlinear planning problem into a mixed-integer quadratically constrained programming (MIQCP) formulation, which is solved by commercial solvers. The proposed MIQCP formulation is decomposed into two corresponding subproblems by Lagrangian relaxation to represent transportation and electric power networks. The case studies validate the proposed planning model and demonstrate that the proposed solution can enhance the coordinated network planning with the proliferation of EVs.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2020.2989751