Low-carbon Planning of Power Source Considering Cross-domain Hydrogen Demand

被引:0
作者
Yuan T. [1 ]
Zhang Y. [1 ]
Ge Y. [2 ]
Tian X. [3 ]
Yang Z. [1 ]
机构
[1] School of Electrical Engineering, Dalian University of Technology, Dalian
[2] Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang
[3] State Grid Economic and Technological Research Institute Co., Ltd., Beijing
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 13期
关键词
carbon capture power plant (CCPP); electricity-hydrogen system; hydrogen load; low-carbon; power source planning; renewable energy;
D O I
10.7500/AEPS20230821002
中图分类号
学科分类号
摘要
The application of hydrogen energy in large scale and multiple fields has an impact on the scale, structure and distribution of electric load, which brings new challenges to the power source planning. To this end, a low-carbon planning model of power source considering cross-domain hydrogen loads is proposed. Firstly, taking into account the hydrogen loads in the fields of industry, transportation and heating supply, an electricity-hydrogen system structure is built containing conventional thermal power units, carbon capture units, renewable energy units and hydrogen energy systems, and the hydrogen demand in multiple fields is forecasted based on the system dynamics theory. Secondly, by introducing a tiered carbon trading mechanism, taking into account the demand for electricity and hydrogen loads and on the premise of satisfying the system conventional constraints and hydrogen energy equipment constraints, a low-carbon planning model of power source is constructed with the optimization objective of minimizing the sum of investment, operation, carbon trading and curtailment costs. Finally, the actual data of a certain region in northwest China is taken as an case for numerical analysis. The results indicate that the low-carbon power planning model after introducing hydrogen loads and carbon capture power plants can optimize the power source structure, improve the energy utilization efficiency, and reduce the system carbon emission. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码:30 / 39
页数:9
相关论文
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