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论文类型：期刊论文

论文编号：19890291

第一作者：Wei Gan

通讯作者：Mohammad Shahidehpour

合写作者：Mingyu Yan,Jianbo Guo,Wei Yao,Aleksi Paaso,Liuxi Zhang,Jinyu Wen

发表刊物：IEEE Transactions on Smart Grid

收录刊物：SCI

刊物所在地：美国

学科门类：工学

一级学科：电气工程

文献类型：J

卷号：11

期号：5

页面范围：4005-4016

ISSN号：1949-3053

关键字：Coordinated planning of transportation and electric power networks, fast-charging station, energy storage, power loss, mixed-integer quadratically constrained programming.

DOI码：10.1109/TSG.2020.2989751

发表时间：2020-09-01

影响因子：10.275

摘要：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.

发布期刊链接：https://ieeexplore.ieee.org/abstract/document/9076708