Multi-stage Robust Optimal Scheduling of Electricity-Hydrogen Coupled System Based on Multiple Affine Decision Rules

被引：0
|
作者：
Pan S. [1 ,2 ]
Xu X. [1 ,2 ]
Yan Z. [1 ,2 ]
Wang H. [1 ,2 ]
Han P. [1 ,2 ]
机构：
[1] Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education, Shanghai Jiao Tong University, Shanghai
[2] Shanghai Non-carbon Energy Conversion, Utilization Institute, Shanghai
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 20期
基金：
中国国家自然科学基金;
关键词：
affine decision rule; electricity-hydrogen system; multi-stage robust optimization; renewable energy; uncertainty;
D O I：
10.7500/AEPS20230129005
中图分类号：
学科分类号：
摘要：
In the research of electricity-hydrogen coupled system optimization, the existing work has not fully explored the role of flexible hydrogen load distribution mode in improving system operation economy and coping with the uncertainty of renewable energy power generation. In this paper, the operation characteristics of three types of hydrogen loads, i.e., hydrogen transport by long-tube trailers, hydrogen transport by pipelines, and hydrogen sold on site, are characterized. And the optimal allocation strategies of the hydrogen loads considering the hydrogen storage characteristics are constructed in different periods. To cope with the uncertainty of renewable energy power generation, the multi-stage robust optimization problem of electricity-hydrogen coupled system is constructed by taking hydrogen load as the day-ahead decision quantity, and hydrogen storage and hydrogen production are decided sequentially with the realization of random variables. In order to solve the problem that traditional single affine decision rule is more conservative, a method for solving multiple affine decision rules based on multi-uncertainty sets is proposed, which adopts different decision ways for different realizations of random variables. The simulation results show that the hydrogen load is flexibly distributed by hydrogen storage link, and the economic benefit of the electricity-hydrogen coupled system is improved. The results of multiple affine decision rules are more economical than those of single affine decision rule, and provide a scheduling scheme for the real-time operation of the system. © 2023 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码：42 / 52
页数：10
相关论文
共 40 条
  • [1] CAO Fan, GUO Tingting, CHEN Kunyang, Et al., Progress and development prospect of coupled wind and hydrogen systems[J], Proceedings of the CSEE, 41, 6, pp. 2187-2201, (2021)
  • [2] PAN Guangsheng, GU Zhongfan, LUO Enbo, Et al., Analysis and prospect of electrolytic hydrogen technology under background of new power systems[J], Automation of Electric Power Systems, 47, 10, pp. 1-13, (2023)
  • [3] YUAN Tiejiang, CAO Jilei, Capacity optimization allocation of wind hydrogen low-carbon energy system considering wind power-load uncertainty[J], High Voltage Engineering, 48, 6, pp. 2037-2044, (2022)
  • [4] LIU Yan, HU Zhijian, CHEN Jinpeng, Et al., Low-carbon economic dispatch of integrated energy system considering carbon capture power plant and multi-utilization of hydrogen energy, Automation of Electric Power Systems
  • [5] GAO Jie, SONG Jie, WANG Jianxiao, Et al., Form and key technologies of integrated electricity-hydrogen system supporting energy security in China, Automation of Electric Power Systems
  • [6] XIONG Yufeng, Yang SI, ZHENG Tianwen, Et al., Optimal configuration of hydrogen storage in industrial park integrated energy system based on Stackelberg game[J], Transactions of China Electrotechnical Society, 36, 3, pp. 507-516, (2021)
  • [7] MIRZAEI M A，, SADEGHI YAZDANKHAH A, MOHAMMADI-IVATLOO B., Stochastic security-constrained operation of wind and hydrogen energy storage systems integrated with price-based demand response[J], International Journal of Hydrogen Energy, 44, 27, pp. 14217-14227, (2019)
  • [8] YU D M, WANG J W，, LI D Z，, Et al., Risk-averse stochastic operation of a power system integrated with hydrogen storage system and wind generation in the presence of demand response program[J], International Journal of Hydrogen Energy, 44, 59, pp. 31204-31215, (2019)
  • [9] CAI T T，, DONG M Y，, LIU H N，, Et al., Integration of hydrogen storage system and wind generation in power systems under demand response program： a novel p-robust stochastic programming[J], International Journal of Hydrogen Energy, 47, 1, pp. 443-458, (2022)
  • [10] EL-TAWEEL N A, KHANI H, FARAG H E Z., Hydrogen storage optimal scheduling for fuel supply and capacity-based demand response program under dynamic hydrogen pricing[J], IEEE Transactions on Smart Grid, 10, 4, pp. 4531-4542, (2019)
1234