考虑氢负荷需求的风光氢热联产型虚拟电厂日前调度优化运行策略

doi:10.3969/j.issn.1008-0198.2024.06.001

湖南电力 ›› 2024, Vol. 44 ›› Issue (6): 1-9.doi: 10.3969/j.issn.1008-0198.2024.06.001

• 特约专栏: 新型电力系统 • 下一篇

考虑氢负荷需求的风光氢热联产型虚拟电厂日前调度优化运行策略

崔先迤^1,2, 曾伟杰^1,2, 崔泽政³, 刘谋海^1,2, 申丽曼^1,2, 马叶钦^1,2

1.国网湖南省电力有限公司供电服务中心（计量中心）,湖南长沙 410007;
2.智能电气量测与应用技术湖南省重点实验室,湖南长沙 410007;
3.国网湖南省电力有限公司常德供电公司,湖南常德 415000

收稿日期:2024-10-10 修回日期:2024-11-05 出版日期:2024-12-25 发布日期:2024-12-25
通信作者: 刘谋海（1990）,男,硕士,工程师,研究方向为智能电网分析。
作者简介:崔先迤（1971）,男,硕士,工程师,研究方向为电力系统优化调度、综合能源系统。
基金资助:
国网湖南省电力有限公司科技项目（165100000760）

Day-Head Scheduling Optimal Operation Strategy for Wind-Solar-Hydrogen-Heat Cogeneration Virtual Power Plants Considering Hydrogen Load Requirements

CUI Xianyi^1,2, ZENG Weijie^1,2, CUI Zezheng³, LIU Mouhai^1,2, SHEN Liman^1,2, MA Yeqin^1,2

1. State Grid Hunan Electric Power Company Limited Power Supply Service Center (Metrology Center),Changsha 410007, China;
2. Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology,Changsha 410007, China;
3. State Grid Changde Power Supply Company, Changde 415000, China

Received:2024-10-10 Revised:2024-11-05 Online:2024-12-25 Published:2024-12-25

摘要/Abstract

摘要： 含氢储能的热电联产型虚拟电厂通过结合聚合资源的热电联产特性,为氢储能参与电网调度、消纳新能源等提供了新的路径。首先,充分考虑氢储能的热电联产特性,在满足热、电负荷需求的条件下,建立虚拟电厂综合运行成本最小的日前调度优化模型,决策聚合资源的日前出力计划。其次,考虑负荷侧用氢需求,包括氢能公交车、氢能汽车氢燃料需求,建立日前用氢需求预测模型。然后,将用氢需求作为约束条件嵌入虚拟电厂日前调度优化模型中,得到考虑氢负荷需求下虚拟电厂的优化运行策略。最后,某园区的仿真分析结果表明,考虑售氢收益的虚拟电厂优化调度策略相较于传统的只考虑氢储能热电联产特性的虚拟电厂调度策略,运行成本降低了24.6%。

关键词: 虚拟电厂, 风光氢热联产, 优化运行, 氢储能, 氢负荷需求

Abstract: The cogeneration virtual power plant with hydrogen storage provides a new path for hydrogen storage to participate in grid scheduling and consume new energy by combining the cogeneration characteristics of the aggregated resources. First, the cogeneration characteristics of hydrogen storage energy are fully considered, and the day-ahead scheduling optimization model that minimizes the comprehensive operating cost of the virtual power plant is established to make decisions on the day-ahead output plan of the aggregated resources under the condition of meeting the heat and electricity load demand.Then,the day-ahead hydrogen demand forecast model is established by considering the load-side hydrogen demand, including the hydrogen fuel demand of hydrogen buses and hydrogen cars. Next, the hydrogen demand is embedded as a constraintinto the virtual power plant day-ahead scheduling optimization model to obtain the optimal operation strategy of the virtual power plant under the consideration of hydrogen load demand. Finally,a simulation analysis in a park is conducted, and the results show that the operating cost of the optimal scheduling strategy of the virtual power plant considering the revenue from hydrogen sales is reduced by 24.6% compared with the traditional virtual power plant scheduling strategy only considering the characteristics of hydrogen storage cogeneration.

Key words: virtual power plant, wind-solar-hydrogen-heat cogeneration, optimal operation, hydrogen energy storage, hydrogen load requirements

中图分类号:

TM732

崔先迤, 曾伟杰, 崔泽政, 刘谋海, 申丽曼, 马叶钦. 考虑氢负荷需求的风光氢热联产型虚拟电厂日前调度优化运行策略[J]. 湖南电力, 2024, 44(6): 1-9.

CUI Xianyi, ZENG Weijie, CUI Zezheng, LIU Mouhai, SHEN Liman, MA Yeqin. Day-Head Scheduling Optimal Operation Strategy for Wind-Solar-Hydrogen-Heat Cogeneration Virtual Power Plants Considering Hydrogen Load Requirements[J]. Hunan Electric Power, 2024, 44(6): 1-9.

参考文献

[1] WANG C L,WANG H,JI X,et al.Hybrid energy storage capacity configuration strategy for virtual power plants based on variable-ratio natural gas-hydrogen blending[J].International Journal of Hydrogen Energy,2024,58:433-445.
[2] 谭玲玲,孙鹏,郭沛璇,等. 含氢储能的微电网低碳-经济协同优化配置[J]. 发电技术,2024,45(5):983-984.
[3] 李咸善,胡长宇,张远航,等. 风电租赁储能参与电能-调频市场竞价策略[J]. 电网技术,48(5):1992-2002.
[4] 张昊天,韦钢,袁洪涛,等. 考虑氢-电混合储能的直流配电网优化调度[J]. 电力系统自动化,2021,45(14):72-81.
[5] 石梦舒,许小峰,张继广,等. 考虑电-氢市场的虚拟电厂两阶段优化政策研究[J]. 发电技术,2023,44(5):645-655.
[6] 王兆霖,张海波,陈会来.考虑氢燃料汽车与氢储能的虚拟电厂协调调度[J]. 华北电力大学学报(自然科学版),2024,51(4):69-76,86.
[7] 王秋杰,刘国安,谭洪,等.考虑电氢耦合的虚拟电厂鲁棒可行域模型与求解[J/OL]. 电网技术,1-15.(2024-06-18)[2024-10-12]. https://doi.org/10.13335/j.1000-3673.pst.2024.0510.
[8] 陈永权,方瑜. 多组合虚拟电厂中氢储能低碳经济配置与优化[J]. 电网与清洁能源,2024,40(3):107-118.
[9] ZHANG W Y,SHEN Y,WANG X Y,et al.Research on multi-market strategies for virtual power plants with hydrogen energy storage[J]. Frontiers in Energy Research,2023,11:1260251.
[10] 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.
[11] 熊宇峰,司杨,郑天文,等. 基于主从博弈的工业园区综合能源系统氢储能优化配置[J]. 电工技术学报,2021,36(3):507-516.
[12] 万立新,陆立民,陆怀谷,等. 基于主从博弈的电氢综合能源系统优化运行方法[J]. 电器与能效管理技术,2021(7):14-22.
[13] 马永翔,马少洁,闫群民,等.虚拟电厂与电动汽车用户的主从博弈定价策略[J/OL].华北电力大学学报(自然科学版),1-10. (2023-08-23)[2024-10-12]. http://kns.cnki.net/kcms/detail/13.1212.tm.20230822.1034.006.html.
[14] 郑杰凯,何山,韩璐,等. 计及混合博弈配电网与氢能系统的多综合能源服务商优化调度[J/OL]. 电力自动化设备,1-18.(2024-09-03)[2024-10-12].https://doi.org/10.16081/j.epae.202409002.
[15] 陈锦鹏,胡志坚,陈颖光,等. 考虑阶梯式碳交易机制与电制氢的综合能源系统热电优化[J]. 电力自动化设备,2021,41(9):48-55.
[16] 李建林,孙浩元,梁忠豪,等.多能需求场景下的综合能源系统容量优化配置[J/OL]. 高电压技术,1-12.(2024-08-29)[2024-10-12].https://doi.org/10.13336/j.1003-6520.hve.20240688.
[17] 田雪沁,杨恒,袁铁江,等. 基于共享氢储能的电氢制充注一体站日前优化经济调度[J/OL]. 高电压技术,1-12.(2024-09-04)[2024-10-12].https://doi.org/10.13336/j.1003-6520.hve.20240271.
[18] 王秋杰,亓浩,谭洪,等.考虑碳市场风险的热电联产虚拟电厂低碳调度[J]. 电力自动化设备,2024,44(10):8-15.
[19] 王海洋,李珂,张承慧,等.基于主从博弈的社区综合能源系统分布式协同优化运行策略[J]. 中国电机工程学报,2020,40(17):5435-5445.
[20] 董军,方琳怡,姚文璐,等.基于主从博弈的综合能源系统多能定价及调度优化[J]. 浙江电力,2024,43(9):19-28.

考虑氢负荷需求的风光氢热联产型虚拟电厂日前调度优化运行策略

Day-Head Scheduling Optimal Operation Strategy for Wind-Solar-Hydrogen-Heat Cogeneration Virtual Power Plants Considering Hydrogen Load Requirements

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 6

编辑推荐

Metrics

本文评价

[1]	刘硕, 马兆兴, 刘金鑫, 钱宝珊, 王瑞华. 面向新能源消纳的新型电力系统优化运行策略[J]. 湖南电力, 2024, 44(1): 59-66.
[2]	谢鹰, 郑众, 刘剑峰, 高希, 李大祥. 基于遗传算法计及充电行驶距离的电动汽车充电网络规划[J]. 湖南电力, 2023, 43(3): 29-36.
[3]	陈浩奇, 吴宇翔, 樊嘉宏, 钱军, 陈斌, 朱蜀, 张劲帆. 湖南电网风力发电能力监测及管理研究[J]. 湖南电力, 2023, 43(2): 97-101.
[4]	谭文忠, 王启盛, 梅红兴, 谢昊, 张思远. 交直流混联电网多级调度协调控制策略及辅助决策研究[J]. 湖南电力, 2022, 42(5): 48-52.
[5]	李芒芒, 周雪斌, 易晓坚. 660 MW调峰机组运行经济性研究[J]. 湖南电力, 2020, 40(4): 24-26.
[6]	陈瑞珍, 谢智浩, 高体攀, 王晓, 陈智龙. 一起直流系统接线错误引起的接地故障分析[J]. 湖南电力, 2020, 40(4): 47-50.