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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Published in:	IEEE transactions on smart grid Vol. 11; no. 5; pp. 4005 - 4016
Main Authors:	Gan, Wei, Shahidehpour, Mohammad, Yan, Mingyu, Guo, Jianbo, Yao, Wei, Paaso, Aleksi, Zhang, Liuxi, Wen, Jinyu
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.09.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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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Abstract	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.
AbstractList	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.
Author	Wen, Jinyu Yan, Mingyu Gan, Wei Zhang, Liuxi Yao, Wei Paaso, Aleksi Shahidehpour, Mohammad Guo, Jianbo
Author_xml	– sequence: 1 givenname: Wei surname: Gan fullname: Gan, Wei email: weigan@hust.edu.cn organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China – sequence: 2 givenname: Mohammad orcidid: 0000-0002-8994-1688 surname: Shahidehpour fullname: Shahidehpour, Mohammad email: myan9@iit.edu organization: Electrical and Computer Engineering Department, Illinois Institute of Technology, Chicago, IL, USA – sequence: 3 givenname: Mingyu orcidid: 0000-0001-9040-9480 surname: Yan fullname: Yan, Mingyu organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China – sequence: 4 givenname: Jianbo surname: Guo fullname: Guo, Jianbo email: guojb@epri.sgcc.com.cn organization: Department of Power System, China Electric Power Research Institute, Beijing, China – sequence: 5 givenname: Wei orcidid: 0000-0002-4054-5916 surname: Yao fullname: Yao, Wei email: w.yao@hust.edu.cn organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China – sequence: 6 givenname: Aleksi surname: Paaso fullname: Paaso, Aleksi email: esa.paaso@comed.com organization: ComEd, Chicago, IL, USA – sequence: 7 givenname: Liuxi surname: Zhang fullname: Zhang, Liuxi email: liuxi.zhang@comed.com organization: ComEd, Chicago, IL, USA – sequence: 8 givenname: Jinyu orcidid: 0000-0002-0288-727X surname: Wen fullname: Wen, Jinyu email: jinyu.wen@hust.edu.cn organization: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan, China
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SubjectTerms	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
Title	Coordinated Planning of Transportation and Electric Power Networks With the Proliferation of Electric Vehicles
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