可再生能源
计算机科学
数学优化
网络规划与设计
电动汽车
电力
功率流
功率(物理)
电力系统
汽车工程
工程类
电气工程
电信
数学
量子力学
物理
作者
Yuanzheng Li,Zhixian Ni,Yun Liu,Xiaomeng Ai,Qingyong Zhang,Jiawei Yang,Xi Li
出处
期刊:IEEE Transactions on Industry Applications
[Institute of Electrical and Electronics Engineers]
日期:2022-03-01
卷期号:58 (2): 2848-2862
被引量:5
标识
DOI:10.1109/tia.2021.3106875
摘要
Hybrid hydrogen-electric vehicles (H2EVs) are developing rapidly in recent years. Evidently, the planning of H2EVs energy-supplying facilities (HVESFs) is important. It involves the coupled power flow of power network (PN), mass flow of hydrogen network (HN), and traffic flow of traffic network (TN), simultaneously. These coupled flows would indeed challenge economic and secure performances of HVESFs planning, especially when uncertain renewable energy is introduced. Therefore, a multinetwork framework considering coupled flow constraints is proposed for the planning issue of HVESFs, involving all the PN, HN, and TN. Therein, we first propose a modified maximum covering location method, in order to satisfy the energy demand of H2EVs. On this basis, a many-objective optimization-based bi-level HVESFs planning model is developed. Then, we use a hybrid differential evolution-interior point algorithm to solve this model, and obtain the planning solutions. Simulation results verify the feasibility and effectiveness of the proposed planning model, which has better performances compared to the existing approach.
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