Chance constrained optimal scheduling of electric-hydrogen integrated energy system considering green certificate of hydrogen energy

被引：0

作者：

Chen M. ^{[1
]}

Chen S. ^{[1
]}

Wang Y. ^{[2
]}

Wei Z. ^{[1
]}

Pan X. ^{[3
]}

Peng Y. ^{[3
]}

机构：

[1] College of Energy and Electrical Engineering, Hohai University, Nanjing

[2] EEnergy Technology Co.，Ltd., Hangzhou

[3] State Grid Zhejiang Electric Power Research Institute, Hangzhou

来源：

Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2023年 / 43卷 / 12期

基金：

中国国家自然科学基金;

关键词：

chance constraints; electric-hydrogen integrated energy system; green certificate trading; hydrogen pipeline; optimal scheduling; power-to-hydrogen;

D O I：

10.16081/j.epae.202309024

中图分类号：

学科分类号：

摘要：

With the proposal of carbon emission peak and carbon neutrality targets，the hydrogen energy industry has ushered in an important stage of development. The key technologies of hydrogen energy production，transportation and storage continue to break through，so the deep coupling between power network and hydrogen energy transport network is expected. Based on the detailed model of hydrogen energy transport network，a joint optimal scheduling model of power system and hydrogen energy transport system is proposed. Considering the green certificate benefit of power-to-hydrogen，a day-ahead scheduling model of electric-hydrogen integrated energy system with green certificate trading is constructed. On the basis of deterministic model，the opportunity constraint is used to deal with the uncertainty caused by wind power fluctuations，and the opportunity constraint optimization scheduling model of electric-hydrogen integrated energy system is constructed. The effectiveness of the proposed model is verified by a numerical example test，the influence of green certificate price and opportunity constraint on the scheduling results is studied，and the power-to-hydrogen units participating in the fluctuation suppression is also analyzed. © 2023 Electric Power Automation Equipment Press. All rights reserved.

引用

页码：206 / 213

页数：7

共 25 条

[1]

CHEN Sheng, WEI Zhinong, GU Wei, Et al., Carbon neutral oriented transition and revolution of energy systems：multi-energy flow coordination technology［J］, Electric Power Automation Equipment, 41, 9, pp. 3-12, (2021)

[2]

CHEN Jinpeng, HU Zhijian, CHEN Yingguang, Et al., Thermoelectric optimization of integrated energy system considering ladder-type carbon trading mechanism and electric hydrogen production［J］, Electric Power Automation Equipment, 41, 9, pp. 48-55, (2021)

[3]

ZHANG Jingchun, CHEN Sheng, PENG Yan, Et al., Low carbon economic scheduling of gas-electric coupling integrated energy system considering flexible ramping products［J］, Power System Technology, 46, 9, pp. 3315-3325, (2022)

[4]

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)

[5]

FANG J K，, AI X M，, Et al., Grid-oriented multi-physics model of power-to-hydrogen electrolyzers［J］, Energy Conversion and Management, 270, (2022)

[6]

YANG H S，, Et al., Green hydrogen potentials from surplus hydro energy in Nepal ［J］, International Journal of Hydrogen Energy, 46, 43, pp. 22256-22267, (2021)

[7]

DING Jian, FANG Xiaosong, SONG Yunting, Et al., Conception of electricity and hydrogen integrated energy network for renewable energy transmission in Western China under background of carbon neutralization［J］, Automation of Electric Power Systems, 45, 24, pp. 1-9, (2021)

[8]

SINGH S, Et al., Hydrogen：a sustainable fuel for future of the transport sector［J］, Renewable and Sustainable Energy Reviews, 51, pp. 623-633, (2015)

[9]

ZHOU Buxiang, Yang CHEN, ZANG Tianlei, Et al., Optimal scheduling of natural gas-electricity coupling system considering hydrogen-mixed natural gas network and low-carbon reward［J］, Electric Power Automation Equipment, 43, 2, pp. 1-8, (2023)

[10]

JIANG Yuewen, YANG Guoming, ZHU Zhenshan, Wind-hydrogen-electricity coupled network planning considering traffic flow capture［J］, Automation of Electric Power Systems, 45, 22, pp. 19-28, (2021)

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