Optimal Capacity Configuration of Wind-Hydrogen-HCNG Coupled Network Considering Combined Electrolyzer Operation

被引：0
|
作者：
Yang Z. [1 ,3 ]
Tian X. [2 ]
Wu W. [1 ]
Yuan T. [3 ]
机构：
[1] School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an
[2] State Grid Economic and Technological Research Institute Co., Ltd., Beijing
[3] School of Electrical Engineering, Dalian University of Technology, Dalian
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 12期
关键词：
D O I：
10.7500/AEPS20221112002
中图分类号：
学科分类号：
摘要：
The high cost of transporting pure hydrogen is one of the factors hindering the development of renewable energy accommodation technology through power to hydrogen. The direct injection of hydrogen into the natural gas pipeline by using hydrogen enriched compressed natural gas (HCNG) technology can effectively reduce the transportation costs. Aiming at the control of hydrogen mix ratio and the capacity configuration of hydrogen production equipment while hydrogen is injected into pipelines, a wind-hydrogen-HCNG coupled network is established. Based on analyzing the overload efficiency characteristics of the electrolyzer monomer, the operation characteristics of the power to hydrogen system with modular integration of multiple electrolyzers are analyzed, and the coordinated operation strategy of double-layer rotation of multiple electrolyzers is further proposed. With the objective of maximizing system revenue and considering the constraints of the power-hydrogen balance and operation of each equipment, a capacity configuration model of hydrogen energy system that can meet the demand for hydrogen mix is established, and CPLEX in MATLAB is used for solution. The economy and feasibility of pipeline hydrogen mix in the long-distance hydrogen transportation are verified through case analysis and comparison. The double-layer rotation strategy based on the operation characteristics of the electrolyzer can balance the running time of the electrolyzer, and reduce the capacity configuration demand and the investment cost. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码：76 / 85
页数：9
相关论文
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