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山东大学学报 (工学版) ›› 2025, Vol. 55 ›› Issue (2): 28-36.doi: 10.6040/j.issn.1672-3961.0.2024.044

• 电气工程——智慧能源专题(张恒旭教授主持) • 上一篇    下一篇

考虑混合储能的电-氢系统日前-日内协同优化调度

王瑞琪1,2,刘继彦1,鞠文杰1,王为帅1,许文泽3,张祯滨3*   

  1. 1.国网山东省电力公司, 山东 济南 250001;2.国网山东综合能源服务有限公司, 山东 济南 250001;3.山东大学电气工程学院, 山东 济南 250061
  • 发布日期:2025-04-15
  • 作者简介:王瑞琪(1986— ),男,山东临沂人,高级工程师,博士,主要研究方向为综合能源和新型储能技术. E-mail:13698622826@163.com. *通信作者简介:张祯滨(1984— ),男,山东济南人,教授,博士生导师,博士,主要研究方向为预测控制在多能源系统与新能源电力变流器集群中的应用等. E-mail: zbz@sdu.edu.cn
  • 基金资助:
    国家电网有限公司总部管理科技资助项目(5100-202116567A-0-5-SF)

Coordinated optimal scheduling of electric-hydrogen system considering hybrid energy storage in the day-ahead and intra-day stages

WANG Ruiqi1,2, LIU Jiyan1, JU Wenjie1, WANG Weishuai1, XU Wenze3, ZHANG Zhenbin3*   

  1. WANG Ruiqi1, 2, LIU Jiyan1, JU Wenjie1, WANG Weishuai1, XU Wenze3, ZHANG Zhenbin3*(1. State Grid Shandong Power Supply Company, Jinan 250001, Shandong, China;
    2. State Grid Shandong Integrated Energy Services Co., LTD., Jinan 250001, Shandong, China;
    3. School of Electrical Engineering, Shandong University, Jinan 250061, Shandong, China
  • Published:2025-04-15

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摘要： 为了响应“双碳”目标,应对大规模可再生能源接入带来的弃风光问题,提出一种考虑混合储能的电-氢系统(electric-hydrogen system, EHS)日前-日内协同优化调度策略。考虑系统及各出力单元的约束条件,以EHS运行成本最低及碳排放最小建立目标函数;对模型中的非线性约束进行线性化处理,构建混合整数线性规划问题;介绍日前-日内协同的多时间尺度优化调度方法;采用IEEE-33节点系统对所提策略进行算例分析,验证其对促进新能源消纳及EHS低碳经济运行的有效性。仿真结果表明,所提优化调度策略能够有效提高系统可再生能源的消纳能力,减少系统碳排放及运行成本。

关键词: 混合储能, 电-氢系统, 日前-日内, 经济调度, 低碳运行

Abstract: To respond to the goal of "dual carbon" and deal with the abandonment of wind power and photovoltaic caused by the access of large-scale renewable energy, a coordinated optimal scheduling of an electric-hydrogen system(EHS)considering hybrid energy storage in the day-ahead and intra-day stages was proposed. By considering the constraints of the system and each equipment, the objective function was established to minimize the operating cost and carbon emissions of the EHS. The nonlinear constraints in the model were linearized, and the model of multi-time scale scheduling method was established. The IEEE-33 node system was used to analyze the proposed strategy and verify its effectiveness in promoting the accommodation of renewable energy and the low-carbon economic operation of the EHS. The simulation results showed that the proposed strategy could effectively improve the system's accommodation capacity of renewable energy and reduce EHS's carbon emission and operating costs.

Key words: hybrid energy storage, electric-hydrogen system, day-ahead and intra-day, economic dispatch, low-carbon operation

中图分类号: 

  • TM73
[1] 中国政府网. 国家能源局发布2022年可再生能源发展情况并介绍完善可再生能源绿色电力证书制度有关工作进展等情况[R/OL].(2023-02-14)[2024-02-20]. https://www.gov.cn/xinwen/2023-02/14/content_5741481.htm
[2] 宋旭东, 向铁元, 熊虎, 等. 考虑碳排放权分配的低碳电源规划[J]. 电力系统自动化, 2012, 36(19): 47-52. SONG Xudong, XIANG Tieyuan, XIONG Hu, et al. Low carbon generation expansion planning based on carbon emission right allocation[J]. Automation of Electric Power Systems, 2012, 36(19): 47-52.
[3] 刘哲远, 邢海军, 程浩忠, 等. 考虑碳排放流及需求响应的综合能源系统双层优化调度[J]. 高电压技术, 2023, 49(1): 169-178. LIU Zheyuan, XING Haijun, CHENG Haozhong, et al. Bi-level optimal scheduling of integrated energy system considering carbon emission flow and demand response[J]. High Voltage Engineering, 2023, 49(1): 169-178.
[4] 田丰, 贾燕冰, 任海泉, 等. 考虑碳捕集系统的综合能源系统“源-荷”低碳经济调度[J]. 电网技术, 2020, 44(9): 3346-3355. TIAN Feng, JIA Yanbing, REN Haiquan, et al. "Source-load" low-carbon economic dispatch of integrated energy system considering carbon capture system[J]. Power System Technology, 2020, 44(9): 3346-3355.
[5] 廖跃洪, 陈洁, 杨彦飞, 等. 考虑碳捕集电厂综合灵活运行下的含P2G和光热电站虚拟电厂优化调度[J]. 电力建设, 2022, 43(4): 20-27. LIAO Yuehong, CHEN Jie, YANG Yanfei, et al. Optimal scheduling of virtual power plant with P2G and photo-thermal power plant considering the flexible operation of carbon capture power plants[J]. Electric Power Construction, 2022, 43(4): 20-27.
[6] 杨馥源, 田雪沁, 徐彤, 等. 面向碳中和电力系统转型的电氢枢纽灵活性应用[J]. 电力建设, 2021, 42(8): 110-117. YANG Fuyuan, TIAN Xueqin, XU Tong, et al. Flexibility of electro-hydrogen hub for power system transformation under the goal of carbon neutrality[J]. Electric Power Construction, 2021, 42(8): 110-117.
[7] 潘光胜, 顾钟凡, 罗恩博, 等. 新型电力系统背景下的电制氢技术分析与展望[J]. 电力系统自动化, 2023, 47(10): 1-13. PAN Guangsheng, GU Zhongfan, LUO Enbo, et al. Analysis and prospect of electrolytic hydrogen technology under background of new power system[J]. Automation of Electric Power Systems, 2023, 47(10): 1-13.
[8] 王一凡, 王辉, 李旭阳, 等. 电氢混合储能微电网容量配置优化的研究综述[J]. 广西师范大学学报(自然科学版), 2022, 40(6): 18-36. WANG Yifan, WANG Hui, LI Xuyang, et al. Survey of capacity allocation of microgrid hybrid energy storage system based on hydrogen energy storage[J]. Journal of Guangxi Normal University(Natural Science Edition), 2022, 40(6): 18-36.
[9] 李奇, 赵淑丹, 蒲雨辰, 等. 考虑电氢耦合的混合储能微电网容量配置优化[J]. 电工技术学报, 2021, 36(3): 486-495. LI Qi, ZHAO Shudan, PU Yuchen,et al. Capacity optimization of hybrid energy storage microgrid considering electricity-hydrogen coupling[J]. Transactions of China Electrotechnical Society, 2021, 36(3): 486-495.
[10] 朱俊澎, 袁越, 吴涵. 考虑移动氢储能和高密度可再生能源的主动配电网优化调度[J]. 电力自动化设备, 2020, 40(12): 42-48. ZHU Junpeng, YUAN Yue, WU Han. Optimal dispatch of active distribution network considering mobile hydrogen energy storage and high-density renewable energy sources[J]. Electric Power Automation Equipment, 2020, 40(12): 42-48.
[11] 蔡博戎, 凌开元, 姜华, 等. 配电网移动储能优化配置研究[J]. 电工电能新技术, 2019, 38(9): 26-32. CAI Borong, LING Kaiyuan, JIANG Hua, et al. Research on optimal allocation of movable energy storage in distribution network[J]. Advanced Technology of Electrical Engineering and Energy, 2019, 38(9): 26-32.
[12] 陈中, 刘艺, 陈轩, 等. 考虑移动储能特性的电动汽车充放电调度策略[J]. 电力系统自动化, 2020, 44(2): 77-85. CHEN Zhong, LIU Yi, CHEN Xuan, et al. Charging and discharging dispatching strategy for electric vehicles considering characteristics of mobile energy storage[J]. Automation of Electric Power Systems, 2020, 44(2): 77-85.
[13] 邓佳乐, 胡林献, 邵世圻, 等. 电热联合系统多时间尺度滚动调度策略[J].电网技术, 2016, 40(12): 3796-3803. DENG Jiale, HU Linxian, SHAO Shiqi, et al. Multi-time scale rolling scheduling method for combined heat and power system[J]. Power System Technology, 2016, 40(12): 3796-3803.
[14] 李领齐, 程志江, 郭少康, 等. 基于热网互联的电热系统多时间尺度优化调度[J]. 电气传动, 2023, 53(10): 57-63. LI Lingqi, CHENG Zhijiang, GUO Shaokang, et al. Multi-time scales sptimization scheduling of electric heating combined system based on heat network interconnection[J]. Electric Drive, 2023, 53(10): 57-63.
[15] CHANG W G, YANG Q. Low carbon oriented collaborative energy management framework for multi-microgrid aggregated virtual power plant considering electricity trading[J]. Applied Energy, 2023, 351: 121906.
[16] HE G, MICHALEK J, KAR S, et al. Utility-scale portable energy storage systems[J]. Joule, 2021, 5(2): 379-392.
[17] 卢志刚, 隋玉珊, 冯涛, 等. 考虑储热装置与碳捕集设备的风电消纳低碳经济调度[J]. 电工技术学报, 2016, 31(17): 41-51. LU Zhigang, SUI Yushan, FENG Tao, et al. Wind power accommodation low-carbon economic dispatch considering heat accumulator and carbon capture devices[J]. Transactions of China Electrotechnical Society, 2016, 31(17): 41-51.
[18] PAN G S, GU W, LU Y P, et al. Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage[J]. IEEE Transactions on Sustainable Energy, 2020, 11(4): 2662-2676.
[19] 王会超, 秦昊, 周昶, 等. 计及新能源预测不确定性的跨区域日前-日内调度模型[J]. 电力系统自动化, 2019, 43(19): 60-67. WAHG Huichao, QIN Hao, ZHOU Chang, et al. Cross-regional day-ahead to intra-day scheduling model considering forecasting uncertainty of renewable energy[J]. Automation of Electric Power Systems, 2019, 43(19): 60-67.
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