Operation Mode and Economy of Photovoltaic Coupled Water Electrolysis Hydrogen Production System As a Kind of Virtual Power Plant Resource

doi:10.12096/j.2096-4528.pgt.22181

Abstract

Abstract:

In order to promote the utilization of clean and renewable energy such as solar energy and hydrogen energy, and better integrate it with virtual power plant technology, aiming at the coupling system of photovoltaic power station and electrolytic water hydrogen production, the operation mode of large-scale aggregate resources was constructed and the relevant economic analysis considering the initial investment of resources was carried out. At the same time, combined with the analysis of the annual output data of the actual photovoltaic power station project, it was discussed that when this kind of coupling resources were used as virtual power plant resources, while supporting the new power system and promoting the consumption of new energy, it could maintain and continuously optimize its own economy. The operation mode optimization elements, equipment function characteristics and market conditions worthy of attention were pointed out, which provided a reference for related research.

Key words: photovoltaic, water electrolysis for hydrogen production, virtual power plant, external characteristics

CLC Number:

TK 91

Tianqi SONG, Yunting MA, Zhihui ZHANG. Operation Mode and Economy of Photovoltaic Coupled Water Electrolysis Hydrogen Production System As a Kind of Virtual Power Plant Resource[J]. Power Generation Technology, 2023, 44(4): 465-472.

Figures/Tables 4

References 22

1	刘雨佳，樊艳芳，郝俊伟，等．基于碱性电解槽宽功率适应模型的风光氢热虚拟电厂容量配置与调度优化[J]．电力系统保护与控制，2022，50(10)：48-60．
	LIU Y J， FAN Y F， HAO J W，et al ．Capacity configuration and optimal scheduling of a wind-photovoltaic-hydrogen-thermal virtual power plant based on a wide range power adaptation strategy for an alkaline electrolyzer[J]．Power System Protection and Control，2022，50(10)：48-60．
2	杨秀，胡晓龙，孙改平，等．考虑电能共享的楼宇虚拟电厂协调优化调度[J]．电力科学与技术学报，2022，37(1)：96-105．
	YANG X， HU X L， SUN G P，et al ．Coordinated optimization scheduling of building virtual power plant considering power sharing[J]．Journal of Electric Power Science and Technology，2022，37(1)：96-105．
3	杨洪朝，杨迪，孟科．高比例可再生能源渗透下多虚拟电厂多时间尺度协调优化调度[J]．智慧电力，2021，49(2)：60-68． doi:10.3969/j.issn.1673-7598.2021.02.011
	YANG H C， YANG D， MENG K ．Multi-time scale coordination optimal scheduling of multiple virtual power plants with high-penetration renewable energy integration[J]．Smart Power，2021，49(2)：60-68． doi:10.3969/j.issn.1673-7598.2021.02.011
4	ISHAQ H， DINCER I ．Comparative assessment of renewable energy-based hydrogen production methods[J]．Renewable Sustain Energy Review， 2021，135：110192． doi:10.1016/j.rser.2020.110192
5	YILMAZ F， OZTURK M， SELBAS R ．Design and thermodynamic modeling of a renewable energy based plant for hydrogen production and compression[J]．International Journal of Hydrogen Energy，2020，45(49)：23126-23137． doi:10.1016/j.ijhydene.2019.12.133
6	AMMI Q， DINCER I ．Energy and exergy analyses of an integrated renewable energy system for hydrogen production[J]．Energy，2020，204：117945． doi:10.1016/j.energy.2020.117945
7	刘海涛，朱海南，李丰硕，等．计及碳成本的电-气-热-氢综合能源系统经济运行策略[J]．电力建设，2021，42(12)：21-29． doi:10.12204/j.issn.1000-7229.2021.12.003
	LIU H T， ZHU H N， LI F S，et al ．Economic operation strategy of electric-gas-heat-hydrogen integrated energy system considering carbon cost[J]．Electric Power Construction，2021，42(12)：21-29． doi:10.12204/j.issn.1000-7229.2021.12.003
8	希望⋅阿不都瓦依提，吕海鹏，晁勤．基于非合作博弈的风-光-氢微电网容量优化配置[J]．电力工程技术，2022，41(2)：110-118．
	XIWANG A， LÜ H P， CHAO Q ．Optimal capacity configuration of wind-photovoltaic-hydrogen microgrid based on non-cooperative game theory[J]．Electric Power Engineering Technology，2022，41(2)：110-118．
9	李雪临，袁凌．海上风电制氢技术发展现状与建议[J]．发电技术，2022，43(2)：198-206． doi:10.12096/j.2096-4528.pgt.22032
	LI X L， YUAN L ．Development status and suggestions of hydrogen production technology by offshore wind power[J]．Power Generation Technology，2022，43(2)：198-206． doi:10.12096/j.2096-4528.pgt.22032
10	韩华春，李强，袁晓冬．考虑柔性氢需求的区域综合能源系统优化调度方法[J]．电力科学与技术学报，2022，37(3)：12-18．
	HAN H C， LI Q， YUAN X D ．Optimal dispatch of regional integrated energy systems considering flexible hydrogen demand[J]．Journal of Electric Power Science and Technology，2022，37(3)：12-18．
11	MOHAMMADI A， MEHRPOOYA M ．A comprehensive review on coupling different types of electrolyzer to renewable energy sources[J]．Energy， 2018，158：632-655． doi:10.1016/j.energy.2018.06.073
12	宋天琦，刘惠萍．电转氢技术融入分布式智慧能源的应用模式研讨[J]．上海节能，2021(3)：290-293． doi:10.13770/j.cnki.issn2095-705x.2021.03.010
	SONG T Q， LIU H P ．Discussion on application mode of electric power to hydrogen technology integrated into distributed intelligent energy[J]．Shanghai Energy Conservation，2021(3)：290-293． doi:10.13770/j.cnki.issn2095-705x.2021.03.010
13	KLYAPOVSKIY S， ZHENG Y， YOU S，et al ．Optimal operation of the hydrogen-based energy management system with P2X demand response and ammonia plant[J]．Applied Energy，2021，304：117559． doi:10.1016/j.apenergy.2021.117559
14	WANG X， ZHAO H ．Decentralized coordinated operation model of VPP and P2H systems based on stochastic-bargaining game considering multiple uncertainties and carbon cost[J]．Applied Energy， 2022，312：118750． doi:10.1016/j.apenergy.2022.118750
15	魏向向，杨德昌，叶斌．能源互联网中虚拟电厂的运行模式及启示[J]．电力建设，2016，37(4)：2-10． doi:10.3969/j.issn.1000-7229.2016.04.001
	WEI X X， YANG D C， YE B ．Operation mode of virtual power plant in energy internet and its enlightenment[J]．Electric Power Construction，2016，37(4)：2-10． doi:10.3969/j.issn.1000-7229.2016.04.001
16	卫志农，张思德，孙国强，等．基于碳交易机制的电—气互联综合能源系统低碳经济运行[J]．电力系统自动化，2016，40(15)：9-16． doi:10.7500/AEPS20151109004
	WEI Z N， ZHANG S D， SUN G Q，et al ． Carbon trading based low-carbon economic operation for integrated electricity and natural gas energy system[J]．Automation of Electric Power Systems， 2016，40(15)：9-16． doi:10.7500/AEPS20151109004
17	周任军，吕佳，张武军，等．气电虚拟电厂多能源市场竞标策略[J]．中国电力，2018，51(7)：120-127． doi:10.11930/j.issn.1004-9649.201802056
	ZHOU R J， LÜ J， ZHANG W J，et al ．Bidding strategies for gas-electricity virtual power plants in multi-energy market[J]．Electric Power，2018，51(7)：120-127． doi:10.11930/j.issn.1004-9649.201802056
18	张军六，樊伟，谭忠富，等．计及需求响应的气电互联虚拟电厂多目标调度优化模型[J]．电力建设，2020，41(2)：1-10．
	ZHANG J L， FAN W， TAN Z F，et al ． Multi-objective optimization model of gas electricity interconnected virtual power plant considering demand response[J]．Electric Power Construction，2020，41(2)：1-10．
19	范松丽，艾芊，贺兴．基于机会约束规划的虚拟电厂调度风险分析[J]．中国电机工程学报，2015，35(16)： 4025-4034． doi:10.13334/j.0258-8013.pcsee.2015.16.004
	FAN S L， AI Q， HE X ．Risk analysis on dispatch of virtual power plant based on chance constrained programming[J]．Proceedings of the CSEE，2015，35(16)： 4025-4034． doi:10.13334/j.0258-8013.pcsee.2015.16.004
20	赵亮，黎嘉明，艾小猛，等．光伏出力随机性分量的提取和统计特性分析[J]．电力系统自动化，2017，41(1)：48-56． doi:10.7500/AEPS20160225007
	ZHAO L， LI J M， AI X M，et al ．Analysis on random component extraction and statistical characteristics of photovoltaic power[J]．Automation of Electric Power Systems，2017，41(1)：48-56． doi:10.7500/AEPS20160225007
21	白宏坤，王江波，刘军会，等．不同调峰模式下负荷聚集商参与程度研究[J]．电气自动化，2019，41(5)：16-30． doi:10.3969/j.issn.1000－3886.2019.05.006
	BAI H K， WANG J B， LIU J H，et al ．Research on degree of participation of load aggregators in different peaks shaving modes[J]．Electrical Automation，2019， 41(5)：16-30． doi:10.3969/j.issn.1000－3886.2019.05.006
22	毛田，黄宁馨，程韧利，等．虚拟电厂效益评价指标体系构建及其范例分析[J]．南方电网技术，2022，16(6)：1-7．
	MAO T， HUANG N X， CHENG R L，et al ．Construction for the benefit evaluation index system of virtual power plant and its example analysis[J]．Southern Power System Technology，2022，16(6)：1-7．

阶段	光伏电站出力	电解水制氢运行功率	虚拟电厂外部特性	虚拟电厂外部响应资源与功能
1	(0，α]	(0.5P₁-α，0.5P₁]	负荷态	容量为0.5P₁-α的稳定可控负荷资源
2	(α，0.5P₁]	(α，0.5P₁]	平衡态	全额消纳波动光伏，支撑电网
3	(0.5P₁，P₁]	(0，0.5P₁]	电源态	容量为0.5P₁的稳定电源资源
4	(0，0.5P₁]	(0，0.5P₁]	平衡态	全额消纳波动光伏，支撑电网
5	0	0.5P₁	负荷态	在谷电时段，容量为0.5P₁的稳定可控负荷资源

阶段	光伏电站出力	电解水制氢运行功率	虚拟电厂外部特性	虚拟电厂外部响应资源与功能
1	(0，α]	(0.5P₁-α，0.5P₁]	负荷态	容量为0.5P₁-α的稳定可控负荷资源
2	(α，0.5P₁]	(α，0.5P₁]	平衡态	全额消纳波动光伏，支撑电网
3	(0.5P₁，P₁]	(0，0.5P₁]	电源态	容量为0.5P₁的稳定电源资源
4	(0，0.5P₁]	(0，0.5P₁]	平衡态	全额消纳波动光伏，支撑电网
5	0	0.5P₁	负荷态	在谷电时段，容量为0.5P₁的稳定可控负荷资源

谷电价格/[元/(kW⋅h)]	制氢谷电支出/万元	制氢年收益/万元	填谷谷电支出/万元	填谷年收益/万元
0.353 9	2 025.44	263.84	339.74	428.26
0.257 9	147 6.01	813.27	247.58	520.42
0.100 0	572.32	1 716.96	96.00	672.00
0	0	2 289.28	0	768.00
0.319 4	1 827.88	461.40	306.60	461.40

谷电价格/[元/(kW⋅h)]	制氢谷电支出/万元	制氢年收益/万元	填谷谷电支出/万元	填谷年收益/万元
0.353 9	2 025.44	263.84	339.74	428.26
0.257 9	147 6.01	813.27	247.58	520.42
0.100 0	572.32	1 716.96	96.00	672.00
0	0	2 289.28	0	768.00
0.319 4	1 827.88	461.40	306.60	461.40

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