Layered Optimization for Low- Carbon Energy Traffic Systems Based on Dynamic Hydrogen Price

被引：1

作者：

Guo, Hui ^{[1
]}

Gong, Dandan ^{[1
]}

Zhang, Lijun ^{[2
]}

Wang, Fei ^{[1
]}

Du, Dajun ^{[1
]}

机构：

[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China

[2] Univ Lisbon, Inst Super Tecnico, Lisbon, Portugal

来源：

2022 IEEE/IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (I&CPS ASIA 2022) | 2022年

基金：

中国国家自然科学基金;

关键词：

layered optimization; renewable energy; hydrogen fuel vehicle; dynamic hydrogen price; path optimization;

D O I：

10.1109/ICPSAsia55496.2022.9949650

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

In this paper, a layered optimization strategy is put forward to realize the low-carbon and economic operation of energy-traffic systems based on dynamic hydrogen price. Firstly, a dynamic hydrogen price mechanism related to the share of renewable energy in the energy supply is proposed and introduced into the distributed energy station (DES) optimization, which will promote hydrogen generation using renewable power and reduce the DES construction and operation cost. Based on the dynamic hydrogen price optimized by DESs and the traffic condition on roads, a minimum cost path (MCP) can be selected by the raised user-centric path optimization method for hydrogen fuel vehicles (HVs) to refuel from the DES with low-cost and/or low-carbon hydrogen. Finally, the simulations verify the feasibility of the raised optimization strategy.

引用

页码：619 / 624

页数：6

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