考虑多电解槽协同的海上独立能源岛不确定性双层优化配置

doi:10.11930/j.issn.1004-9649.202501027

中国电力 ›› 2025, Vol. 58 ›› Issue (7): 80-90, 104.DOI: 10.11930/j.issn.1004-9649.202501027

• 海上风电制氢技术经济、规划运行及政策机制 • 上一篇下一篇

考虑多电解槽协同的海上独立能源岛不确定性双层优化配置

孔令国¹(), 田杨进¹(), 康建东², 方磊³, 刘闯¹, 蔡国伟¹

1. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室（东北电力大学），吉林吉林　132012
2. 中国电力科学研究院有限公司，北京　100192
3. 国网江西鹰潭供电公司，江西鹰潭　335000

收稿日期:2025-01-08 发布日期:2025-07-30 出版日期:2025-07-28
作者简介:
孔令国（1984），男，通信作者，博士，教授，从事电氢耦合理论与关键技术研究，E-mail：klgwin@neepu.edu.cn
田杨进（2000），男，硕士研究生，从事电氢耦合系统优化配置研究，E-mail：2656650155@qq.com
基金资助:
国家自然科学基金资助项目（52377170）；吉林省科技发展计划资助项目（YDZJ202403022CGZH）。

Bi-level Optimization Configuration for Offshore Independent Energy Islands Considering Coordination of Multiple Electrolyzers under Uncertainties

KONG Lingguo¹(), TIAN Yangjin¹(), KANG Jiandong², FANG Lei³, LIU Chuang¹, CAI Guowei¹

1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin 132012, China
2. China Electric Power Research Institute, Beijing 100192, China
3. State Grid Jiangxi Yingtan Power Supply Company, Yingtan 335000, China

Received:2025-01-08 Online:2025-07-30 Published:2025-07-28
Supported by:
This work is supported by National Natural Science Foundation of China (No.52377170), Technology Development Program of Jilin Province (No.YDZJ202403022CGZH).

摘要/Abstract

摘要：

随着海上风电深度开发及油气平台低碳化推进，海上独立能源岛将成为海上风电深度消纳新模式。针对海上风电不确定性导致海上独立能源岛内电解槽频繁启停、运行不均衡，以及电-氢-水-气多元耦合经济、灵活运行配置复杂难题，提出一种考虑多电解槽协同的海上独立能源岛不确定性双层优化配置方法。首先，提出基于K-means算法和蒙特卡洛综合模拟复杂海上风电不确定性的场景生成方法；其次，构建外层以效益最大、内层考虑多电解槽协同的多目标均衡优化控制的系统双层优化配置模型，并通过改进粒子群-Gurobi联合算法对模型进行求解；最后，通过算例对比考虑多电解槽协同与不考虑多电解槽协同以及确定性模型和不确定性模型，验证所提方法的有效性和优越性。

关键词: 海上独立能源岛, 不确定性, 优化配置, 多电解槽, 双层优化

Abstract:

With the in-depth development of offshore wind power and the low-carbon advancement of oil drilling platforms, offshore independent energy islands will become a new model for the in-depth consumption of offshore wind power. To address the challenges of frequent start-stop and uneven operation of electrolyzers in offshore independent energy islands due to the uncertainty of offshore wind power, and the complex problem in economic and flexible operation configuration of the multi-coupling of electricity-hydrogen-water-gas, this paper proposes a bi-level optimization configuration method for offshore independent energy islands that considers the coordination of multiple electrolyzers under uncertainty. Firstly, a method for generating complex offshore wind power uncertainty scenarios is proposed based on the K-means algorithm and Monte Carlo simulation. Secondly, a bi-level optimization configuration model is constructed, with the outer layer aiming to maximize benefits and the inner layer considering the coordination of multiple electrolyzers for multi-objective equilibrium optimization control, and the model is solved using an improved particle swarm-Gurobi hybrid approach. Finally, the methods with and without the coordination of multiple electrolyzers, as well as the deterministic and uncertain models are compared through case studies, which verifies the effectiveness and superiority of the proposed method in this paper.

Key words: offshore independent energy island, uncertainty, optimization configuration, multiple electrolyzers, bi-level optimization

孔令国, 田杨进, 康建东, 方磊, 刘闯, 蔡国伟. 考虑多电解槽协同的海上独立能源岛不确定性双层优化配置[J]. 中国电力, 2025, 58(7): 80-90, 104.

KONG Lingguo, TIAN Yangjin, KANG Jiandong, FANG Lei, LIU Chuang, CAI Guowei. Bi-level Optimization Configuration for Offshore Independent Energy Islands Considering Coordination of Multiple Electrolyzers under Uncertainties[J]. Electric Power, 2025, 58(7): 80-90, 104.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202501027

https://www.electricpower.com.cn/CN/Y2025/V58/I7/80

图/表 15

参考文献 33

1	Global Wind Energy Council (GWEC). Global offshore wind report 2022[R]. Brussels, Belgium: GWEC, 2022.
2	杜云飞, 沈欣炜, 郦洪柯, 等. 考虑微观选址的分布式海上风电制氢容量优化配置[J]. 电力系统自动化, 2024, 48 (21): 61- 70. DOI
	DU Yunfei, SHEN Xinwei, LI Hongke, et al. Capacity optimization configuration of distributed offshore wind power to hydrogen considering micro-siting[J]. Automation of Electric Power Systems, 2024, 48 (21): 61- 70. DOI
3	丰力, 张莲梅, 韦家佳, 等. 基于全生命周期经济评估的海上风电发展与思考[J]. 中国电力, 2024, 57 (9): 80- 93.
	FENG Li, ZHANG Lianmei, WEI Jiajia , et al. Development & thinking of offshore wind power based on life cycle economic evaluation[J]. Electric Power, 2024, 57 (9): 80- 93.
4	刘钟淇, 刘耀, 侯金鸣. 以深远海风电为核心的能源岛能源外送经济性分析[J]. 中国电力, 2024, 57 (9): 94- 102.
	LIU Zhongqi, LIU Yao, HOU Jinming. Economic analysis of energy transmission for energy island based on deep-sea offshore wind farms[J]. Electric Power, 2024, 57 (9): 94- 102.
5	马向辉, 张梓铭, 吴冇, 等. 2 GW海上风电对称单极与对称双极柔直送出方案技术经济性对比[J]. 南方电网技术, 2024, 18 (2): 30- 38.
	MA Xianghui , ZHANG Ziming, WU Mao, et al. Technical and economical comparisons of 2 GW offshore wind power transmission schemes by symmetrical monopole and symmetrical bipolar VSC-HVDC[J]. Southern Power System Technology, 2024, 18 (2): 30- 38.
6	张安安, 张红, 吴建中, 等. 离岸微型综合能源系统多目标随机规划[J]. 电力系统自动化, 2019, 43 (7): 129- 135, 173. DOI
	ZHANG An'an, ZHANG Hong, WU Jianzhong, et al. Effect of compensation parameter on characteristics of series/series compensated wireless power transfer system[J]. Automation of Electric Power Systems, 2019, 43 (7): 129- 135, 173. DOI
7	LUCAS T R, FERREIRA A F, SANTOS PEREIRA R B, et al. Hydrogen production from the wind float atlantic offshore wind farm: a techno-economic analysis[J]. Applied Energy, 2022, 310, 118481. DOI
8	宋鹏飞, 张超, 肖立, 等. 海上风电非上网消纳及制醇氨技术综述[J]. 中外能源, 2023, 28 (11): 16- 23.
	SONG Pengfei, ZHANG Chao, XIAO Li, et al. Study on off-grid consumption of offshore wind power and alcohol and ammonia production technology[J]. SINO-GLOBAL ENERGY, 2023, 28 (11): 16- 23.
9	田甜, 李怡雪, 黄磊, 等. 海上风电制氢技术经济性对比分析[J]. 电力建设, 2021, 42 (12): 136- 144. DOI
	Tian Tian, Li Yixue, Huang Lei, et al. Comparative analysis on the economy of hydrogen production technology for offshore wind power consumption[J]. Electric Power Construction, 2021, 42 (12): 136- 144. DOI
10	杨胜, 樊艳芳, 侯俊杰, 等. 考虑平抑风光波动的ALK-PEM电解制氢系统容量优化模型[J]. 电力系统保护与控制, 2024, 52 (1): 85- 96.
	YANG Sheng, FAN Yanfang, HOU Junjie, et al. Capacity optimization model for an ALK-PEM electrolytic hydrogen production system considering the stabilization of wind and PV fluctuations[J]. Power System Protection and Control, 2024, 52 (1): 85- 96.
11	LUO Z, WANG X, WEN H, et al. Hydrogen production from offshore wind power in south China[J]. International Journal of Hydrogen Energy, 2022, 47 (58): 24558- 24568.
12	FLÓREZ-ORREGO D, FREIRE R A, DA SILVA J A M, et al. Centralized power generation with carbon capture on decommissioned offshore petroleum platforms[J]. Energy Conversion and Management, 2022, 252, 1- 19.
13	张安安, 张红, 李茜, 等. 电-气联合储能的海上微能系统模糊随机规划[J]. 中国电机工程学报, 2019, 39 (20): 5915- 5925, 6172.
	ZHANG An'an, ZHANG Hong, LI Qian, et al. Two-stage stochastic optimization for operation scheduling and capacity allocation of integrated energy production unit considering supply and demand uncertainty[J]. Proceedings of the CSEE, 2019, 39 (20): 5915- 5925, 6172.
14	李茜, 黄海涛, 晏小彬, 等. 海上油气微能系统的低碳优化运行研究[J]. 中国电力, 2023, 56 (3): 13- 22.
	LI Qian, HUANG Haitao, YAN Xiaobin, et al. Reserch on low-carbon optimal operation of offshore oil and gas micro integrated energy system[J]. ELECTRIC POWER, 2023, 56 (3): 13- 22.
15	HANG Q, ZHANG H R, YAN Y M, et al. Sustainable and clean oilfield development: how access to wind power can make offshore platforms more sustainable with production stability[J]. Journal of Cleaner Production, 2021, 294: 126225.
16	董辉, 葛维春, 张诗钽, 等. 海上风电制氢与电能直接外送差异综述[J]. 发电技术, 2022, 43 (6): 869- 879.
	DONG Hui, GE Weichun, ZHANG Shitan, et al. Summary of differences between hydrogen production from offshore wind power and direct outward transmission of electric energ[J]. Power Generation Technology, 2022, 43 (6): 869- 879.
17	JANG D , KIM K , KIM K H, et al. Techno-economic analysis and Monte Carlo simulation for green hydrogen production using offshore wind power plant[J]. Energy Conversion and Management, 2022, 263: 115695.
18	李佳蓉, 林今, 陈凯旋, 等. 考虑尾流效应的分布式海上风电制氢集群容量优化配置[J]. 电力系统自动化, 2023, 47 (11): 9- 17. DOI
	LI Jiarong, LIN Jin, CHEN Kaixuan, et al. Optimal capacity configuration of distributed offshore wind power-to-hydrogen cluster considering wake effect[J]. Automation of Electric Power Systems, 2023, 47 (11): 9- 17. DOI
19	FANG R, LIANG Y. Control strategy of electrolyzer in a wind-hydrogen system considering the constraints of switching times[J]. International Journal of Hydrogen Energy, 2019, 44 (46): 25104- 11. DOI
20	沈小军, 聂聪颖, 吕洪. 计及电热特性的离网型风电制氢碱性电解槽阵列优化控制策略[J]. 电工技术学报, 2021, 36(3): 463-472.
	SHEN Xiaojun, NIE Congying, LV Hong. Coordination control strategy of wind power-hydrogen alkaline electrolyzer bank considering electrothermal characteristics[J]Transactions of China Electrotechnical Society, 2021, 36(3): 463-472.
21	王加荣, 杨博, 张芮, 等. 基于风电预测的碱性电解槽系统优化控制[J]. 电网技术, 2024, 48 (7): 2940- 2947.
	WANG Jiarong, YANG Bo, ZHANG Rui, et al. Optimization control of alkaline electrolyzer system based on wind power prediction[J]. Power System Technology, 2024, 48 (7): 2940- 2947.
22	贺明智, 陈茂林, 孟鑫. 基于规划算法的并联制氢装置效率优化控制方法[J]. 可再生能源, 2023, 41 (10): 1401- 1407. DOI
	HE Mingzhi, CHEN Maolin, MENG Xin. Efficiency optimization control method of parallel hydrogen production unit based on programming algorithm[J]. Renewable Energy Resources, 2023, 41 (10): 1401- 1407. DOI
23	张智泉, 陈晓杰, 符杨, 等. 含海上风电制氢的综合能源系统分布鲁棒低碳优化运行[J]. 电网技术, 2025, 49 (1): 41- 51.
	ZHANG Zhiquan, CHEN Xiaojie, FU Yang, et al. Distributionally robust low-carbon optimal operation for integrated energy system including hydrogen production from offshore wind power[J]. Power System Technology, 2025, 49 (1): 41- 51.
24	张帅龙, 郑可迪, 刘学, 等. 基于藤Copula 理论的海上风电建模及电力市场运行分析[J]. 电力系统自动化, 2024, 48 (11): 134- 142.
	ZHANG Shuailong, ZHENG Kedi, LIU Xue, et al. Modeling of offshore wind power based on vine copula theory and electricity market operation analysis[J]. Automation of Electric Power Systems, 2024, 48 (11): 134- 142.
25	彭春华, 熊志盛, 张艺, 等. 基于多场景置信间隙决策的风光储联合鲁棒规划[J]. 电力系统自动化, 2022, 46 (16): 178- 187. DOI
	PENG Chunhua, XIONG Zhisheng, ZHANG Yi, et al. Joint robust planning of wind-photovoltaic-energy storage system based on multi-scenario confidence gap decision[J]. Automation of Electric Power Systems, 2022, 46 (16): 178- 187. DOI
26	周永斐, 梅亚东, 王现勋, 等. 基于场景概率的不确定性主从博弈调度[J]. 水电与抽水蓄能, 2024, 10 (6): 10- 15. DOI
	ZHOU Yongfei, MEI Yadong, WANG Xianxun, et al. Uncertainty stackelberg game scheduling based on scenario probability[J]. Hydropower and Pumped Storage, 2024, 10 (6): 10- 15. DOI
27	左逢源, 张玉琼, 赵强, 等. 计及源荷不确定性的综合能源生产单元运行调度与容量配置两阶段随机优化[J]. 中国电机工程学报, 2022, 42 (22): 8205- 8215.
	ZUO Fengyuan, ZHANG Yuqiong, ZHAO Qiang, et al. Two-stage stochastic optimization for operation scheduling and capacity allocation of integrated Energy production unit considering supply and demand uncertainty[J]. Proceedings of the CSEE, 2022, 42 (22): 8205- 8215.
28	高宇歌, 任洲洋, 程欢, 等. 考虑电解槽动态效率特性的电-氢混合储能优化运行方法[J]. 电网技术, 2025, 49 (2): 533- 541.
	GAO Yuge, REN Zhouyang, CHENG Huan, et al. Optimized operation of hybrid electric-hydrogen energy storage considering dynamic efficiency characteristics of electrolysers[J]. Power System Technology, 2025, 49 (2): 533- 541.
29	楚帅, 董辉, 葛维春, 等. 海水淡化负荷消纳弃风电量的集群优化调度策略[J]. 高电压技术, 2021, 47 (9): 3085- 3095.
	CHU Shuai, DONG Hui, GE Weichun, et al. Cluster optimal dispatch strategy for seawater desalination using abandoned wind power[J]. High Voltage Engineering, 2021, 47 (9): 3085- 3095.
30	周步祥, 朱文聪, 朱杰, 等. 风光制氢合成氨系统的多时段可调度域分析[J]. 中国电机工程学报, 2024, 44 (1): 160- 174.
	ZHOU Buxiang, ZHU Wencong, ZHU Jie, et al. Multi-stage dispatchable region analysis of wind and solar power-based hydrogen production and ammonia synthesis system[J]. Proceedings of the CSEE, 2024, 44 (1): 160- 174.
31	李梓丘, 乔颖, 鲁宗相. 海上风电-氢能系统运行模式分析及配置优化[J]. 电力系统自动化, 2022, 46 (8): 104- 112. DOI
	LI Ziqiu, QIAO Ying, LU Zongxiang. Operation mode analysis and configuration optimization of offshore wind-hydrogen system[J]. Automation of Electric Power Systems, 2022, 46 (8): 104- 112. DOI
32	袁铁江, 郭建华, 杨紫娟, 等. 平抑风电波动的电-氢混合储能容量优化配置[J]. 中国电机工程学报, 2024, 44 (4): 1397- 1406.
	YUAN Tiejiang, GUO Jianhua, YANG Zijuan, et al. Optimal allocation of power electric-hydrogen hybrid energy storage of stabilizing wind power fluctuation[J]. Proceedings of the CSEE, 2024, 44 (4): 1397- 1406.
33	夏威夷, 任洲洋, 潘珍. 考虑子母站灵活互联的分布式供氢网和配电网多主体协调规划方法[J]. 中国电机工程学报, 2024, 44 (23): 9187- 9200.
	XIA Weiyi, REN Zhouyang, PAN Zhen. A multi-agent cooperative planning method for the distributed hydrogen supply network and the power distribution network considering the flexible interconnections between on-site and off-site hydrogen refueling stations[J]. Proceedings of the CSEE, 2024, 44 (23): 9187- 9200.

参数		数值
产氢量与耗水量之比 α_ew		9
产水比能耗 G/(kW·h·m^–3)		4.5^[28]
氢气加压工作效率 η_st		0.6^[33]
掺氢燃机效率 η_gt		0.55
电池充电效率 η_c		0.98
电池放电效率 η_f		0.98
合成氨耗能比 $ {\gamma _{\rm an}} $/(kW·h·kg^–1)		1.75
合成氨耗氢比 $ {\gamma _{\rm ha}} $		1.976
电解槽启动最小功率 P_el,min/MW		1
电解槽运行最大功率 P_el,max/MW		5
电池储能荷电状态下限 S_oc,min		0.2
电池储能荷电状态上限 S_oc,max		0.8
储氢设备储氢下限 L_oh,min		0.1
储氢设备储氢上限 L_oh,max		1.0

参数		数值
产氢量与耗水量之比 α_ew		9
产水比能耗 G/(kW·h·m^–3)		4.5^[28]
氢气加压工作效率 η_st		0.6^[33]
掺氢燃机效率 η_gt		0.55
电池充电效率 η_c		0.98
电池放电效率 η_f		0.98
合成氨耗能比 $ {\gamma _{\rm an}} $/(kW·h·kg^–1)		1.75
合成氨耗氢比 $ {\gamma _{\rm ha}} $		1.976
电解槽启动最小功率 P_el,min/MW		1
电解槽运行最大功率 P_el,max/MW		5
电池储能荷电状态下限 S_oc,min		0.2
电池储能荷电状态上限 S_oc,max		0.8
储氢设备储氢下限 L_oh,min		0.1
储氢设备储氢上限 L_oh,max		1.0

设备名称	投资成本	运维成本	使用年限/年
电解槽^[23]	1800元/kW	80元/kW	20
海水淡化装置	104元/(kg·h^–1)	4元/(kg·h^–1)	15
储水罐	650元/t	25元/t	20
氢气加压装置^[29]	25元/(kg·h^–1)	1.2元/(kg·h^–1)	10
电池储能^[23]	450元/(kW·h)	18元/(kW·h)	10
掺氢燃机	1300元/kW	65元/kW	20
储氢装置	90元/kg	2.4元/kg	10
合成氨规模	300元/(kg·h^–1)	12元/(kg·h^–1)	15

设备名称	投资成本	运维成本	使用年限/年
电解槽^[23]	1800元/kW	80元/kW	20
海水淡化装置	104元/(kg·h^–1)	4元/(kg·h^–1)	15
储水罐	650元/t	25元/t	20
氢气加压装置^[29]	25元/(kg·h^–1)	1.2元/(kg·h^–1)	10
电池储能^[23]	450元/(kW·h)	18元/(kW·h)	10
掺氢燃机	1300元/kW	65元/kW	20
储氢装置	90元/kg	2.4元/kg	10
合成氨规模	300元/(kg·h^–1)	12元/(kg·h^–1)	15

优化变量	考虑多电解槽协同	不考虑多电解槽协同
电解槽容量/MW	35.00	36.65
电池容量/(MW·h)	1.52	0
海水淡化容量/(kg·h^–1)	6666.67	6755.55
储水箱容量/m³	37.59	34.87
掺氢燃机容量/MW	21.14	21.15
氢气加压装置容量/(kg·h^–1)	625.00	662.85
储氢罐容量/kg	1047.49	816.51
合成氨系统容量/(kg·h^–1)	419.60	428.57
海上负荷切负荷率/%	0.093	0.690
合成氨量/kg	36357.00	35243.79
弃风率/%	3.26	4.29
总成本（不含惩罚）/万元	6246.88	6432.62

考虑多电解槽协同的海上独立能源岛不确定性双层优化配置

Bi-level Optimization Configuration for Offshore Independent Energy Islands Considering Coordination of Multiple Electrolyzers under Uncertainties

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 33

相关文章 15

编辑推荐

Metrics

场景	1	2	3	4	5	6	7
时间/天	81	77	47	26	33	43	58
概率	0.22	0.21	0.13	0.07	0.09	0.12	0.16

方法	不同电解槽启停次数							总次数
方法	1	2	3	4	5	6	7	总次数
简单启停/启动	4	4	3	3	4	4	3	25
本文方法/启动	2	2	2	2	3	2	3	16

方法	不同电解槽启停次数							总次数
方法	1	2	3	4	5	6	7	总次数
简单启停/停止	3	4	3	3	3	4	3	23
本文方法/停止	2	2	2	2	2	1	2	13

优化变量	确定性模型	不确定性模型
电解槽数/台	7	9
电池容量/(MW·h)	1.52	12.93
海水淡化容量/(kg·h^–1)	6666.67	8444.44
储水箱容量/m³	37.59	62.66
掺氢燃机容量/MW	21.14	21.04
氢气加压装置容量/(kg·h^–1)	625.00	885.10
储氢罐容量/kg	1047.49	1523.41
合成氨系统容量/(kg·h^–1)	419.60	514.28

[1]	刘航, 申皓, 纪陵, 钟永洁, 陈嘉瑞, 余洋. 计及最大需量基于改进RTN模型的短流程钢铁企业双层优化调峰策略[J]. 中国电力, 2025, 58(8): 118-129.
[2]	高芳杰, 孙玉杰, 李忆, 乐鹰, 张继广, 许传博, 刘敦楠. 计及海上风电制氢的海岛多能微网鲁棒优化调度[J]. 中国电力, 2025, 58(7): 68-79.
[3]	翟哲, 陈梓煜, 刘起兴, 梁彦杰, 李智勇. 计及风险管理的分布式资源聚合商电力市场交易模型[J]. 中国电力, 2025, 58(6): 56-66, 155.
[4]	檀勤良, 贺嘉明, 吕函谕, 丁毅宏. 考虑成本不确定性的发电企业低碳技术采纳决策优化研究[J]. 中国电力, 2025, 58(5): 62-73.
[5]	汪进锋, 李金鹏, 许银亮, 刘海涛, 何锦雄, 许建远. 考虑不确定性和绿证交易的虚拟电厂与配电网分布式优化[J]. 中国电力, 2025, 58(4): 21-30, 192.
[6]	周飞航, 王灏, 王海利, 王萌, 金耀杰, 李重春, 张忠德, 王鹏. 基于多智能体强化学习的电-碳-绿证耦合市场下多市场主体行为研究[J]. 中国电力, 2025, 58(4): 44-55.
[7]	颜俊, 罗宇杰, 颜安, 贺伟, 韩涛, 杨军. 计及用户响应特性的电动汽车充电站设备优化配置方法[J]. 中国电力, 2025, 58(4): 140-147.
[8]	许光, 匡军, 宋红艳, 张泽虎, 臧祥宇, 张念上, 张玉敏. 面向低压配电台区拓扑结构采集的馈线终端优化配置方法[J]. 中国电力, 2025, 58(3): 151-161.
[9]	鲁玲, 苑涛, 杨波, 李欣, 鲁洋, 蒲秋平, 张鑫. 计及㶲效率和多重不确定性的区域综合能源系统双层优化[J]. 中国电力, 2025, 58(1): 128-140.
[10]	张旭, 王淳, 胡奕涛, 陈锐凯, 刘昆, 郭志东, 钟俊勋. 面向短时过载及长期轻载的配变侧储能配置与调度双层优化[J]. 中国电力, 2025, 58(1): 174-184.
[11]	姜文瑾, 刘巧妹, 杨晓东, 阙定飞, 沈豫, 黄夏楠, 赖振华. 计及气固两相储氢特性的海上风电-多元储能系统优化配置[J]. 中国电力, 2024, 57(9): 103-112.
[12]	孙东磊, 王宪, 孙毅, 孟祥飞, 张涌琛, 张玉敏. 基于多面体不确定集合的电力系统灵活性量化评估方法[J]. 中国电力, 2024, 57(9): 146-155.
[13]	张亚健, 陈茨, 薛飞, 马丽, 郑敏. 电制氢协同的含高比例光伏配电网两阶段电压随机优化控制[J]. 中国电力, 2024, 57(8): 23-35.
[14]	卢纯颢, 周春丽, 林溪桥, 陈志君. 基于车辆行为模拟的加氢站氢负荷概率建模方法[J]. 中国电力, 2024, 57(8): 46-54, 66.
[15]	徐峰亮, 王克谦, 王文豪, 王鹏, 王文烨, 张帅, 赵凤展. 计及激励型需求响应的低压配电网混合储能优化配置[J]. 中国电力, 2024, 57(6): 90-101.

模态框（Modal）标题

考虑多电解槽协同的海上独立能源岛不确定性双层优化配置

Bi-level Optimization Configuration for Offshore Independent Energy Islands Considering Coordination of Multiple Electrolyzers under Uncertainties

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 15

参考文献 33

相关文章 15

编辑推荐

Metrics