含氢-电混合储能的港区微网能量管理方法

姜一鸣; 韦统振; 尹靖元

doi:10.19912/j.0254-0096.tynxb.2024-1113

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太阳能学报 ›› 2025, Vol. 46 ›› Issue (6) : 58-67. DOI: 10.19912/j.0254-0096.tynxb.2024-1113

第二十七届中国科协年会学术论文

含氢-电混合储能的港区微网能量管理方法

尹靖元^1~3, 姜一鸣^1,4, 韦统振^1~3

作者信息 +

ENERGY MANAGEMENT METHOD FOR PORT AREAS MICROGRID WITH HYDROGEN-ELECTRIC HYBRID ENERGY STORAGE

Yin Jingyuan^1-3, Jiang Yiming^1,4, Wei Tongzhen^1-3

Author information +

文章历史 +

摘要

针对港区源、荷不确定性引发的问题,提出基于模糊机会约束规划的港区混合储能日前-日内调度策略。首先,分析岸桥-船舶调度对港口电力调度的影响,建立交通-电力耦合的港口负荷模型;其次,基于模糊数学理论建立新能源和负荷的日前-日内不确定性模型;最后,在不确定环境中以碳交易成本、港区一日运行成本、弃风弃光惩罚成本最低为目标进行日前-日内多时间尺度优化,通过CPLEX对模型进行求解。算例分析表明,所提方法能够在考虑源、荷不确定性的条件下有效提高港区新能源消纳水平,减少碳排放量,提高港区运行的经济性。

Abstract

Aiming at the problems caused by the uncertainty of sources and loads in the port area, a day-day scheduling strategy for hybrid energy storage in the port area based on fuzzy opportunity constraint programming is proposed. Firstly, analyze the influence of quay crane-ship dispatching on port power dispatching, and establish a port load model coupled with transportation and power; Secondly, a day-day uncertainty model for new energy and loads is established based on the theory of fuzzy mathematics; Finally, in an uncertain environment, the day-day multi-time scale optimization is carried out with the goal of minimizing the carbon trading cost, the daily operating cost of the port area, and the penalty cost for wind and solar power curtailment, and the model is solved through CPLEX. The case study analysis shows that the proposed method can effectively improve the consumption level of new energy in the port area, reduce carbon emissions and enhance the economic operation of the port area under the condition of considering the uncertainties of sources and loads.

导出引用

尹靖元, 姜一鸣, 韦统振. 含氢-电混合储能的港区微网能量管理方法[J]. 太阳能学报. 2025, 46(6): 58-67 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1113

Yin Jingyuan, Jiang Yiming, Wei Tongzhen. ENERGY MANAGEMENT METHOD FOR PORT AREAS MICROGRID WITH HYDROGEN-ELECTRIC HYBRID ENERGY STORAGE[J]. Acta Energiae Solaris Sinica. 2025, 46(6): 58-67 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1113

中图分类号： TM73

参考文献

[1] 邰能灵, 王萧博, 黄文焘, 等. 港口综合能源系统低碳化技术综述[J]. 电网技术, 2022, 46(10): 3749-3764.
TAI N L, WANG X B, HUANG W T, et al.Review of low-carbon technology for integrated port energy systems[J]. Power system technology, 2022, 46(10): 3749-3764.
[2] HUANG W T, YU M D, LI H, et al.Energy management of integrated energy system in large ports[M]. Cham: Springer Nature Singapore, 2023.
[3] 贾宏杰, 穆云飞, 余晓丹. 对我国综合能源系统发展的思考[J]. 电力建设, 2015, 36(1): 16-25.
JIA H J, MU Y F, YU X D.Thought about the integrated energy system in China[J]. Electric power construction, 2015, 36(1): 16-25.
[4] 顾慧杰, 周华锋, 彭超逸, 等. 含抽水蓄能电站的高比例新能源发电系统多时间尺度调度模型[J]. 上海交通大学学报, 2024, 58(12): 1957-1967.
GU H J, ZHOU H F, PENG C Y, et al.A multi-time scale scheduling model for power generation systems with a high proportion of new energy including pumped storage power stations[J]. Journal of Shanghai Jiao Tong University, 2024, 58(12): 1957-1967.
[5] 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 Y G, REN Z Y, CHENG H, 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.
[6] 师瑞峰, 宁津, 高毓钦, 等. 含氢储能的公路交通风、光自洽微网系统优化调度策略研究[J]. 太阳能学报, 2023, 44(11): 513-521.
SHI R F, NING J, GAO Y Q, et al.Research on optimal dispatch strategy of wind and solar self-consistent microgrid in road transportation system with hydrogen energy storage[J]. Acta energiae solaris sinica, 2023, 44(11): 513-521.
[7] 林博闻, 马晓凤, 庄义彬. 港口船舶尾气排放量及泊位调度优化研究[J]. 中国航海, 2024, 47(1): 88-96.
LIN B W, MA X F, ZHUANG Y B.Optimization of berth scheduling to control ship exhaust emissions in port[J]. Navigation of China, 2024, 47(1): 88-96.
[8] 李长安, 谢宗奎, 吴忠强, 等. 改进灰狼算法及其在港口泊位调度中的应用[J]. 哈尔滨工业大学学报, 2021, 53(1): 101-108.
LI C A, XIE Z K, WU Z Q, et al.Improved grey wolf algorithm and its application in port berth scheduling[J]. Journal of Harbin Institute of Technology, 2021, 53(1): 101-108.
[9] 高钰珊, 陈宁. 集装箱港口多资源协同调度优化模型[J]. 物流技术, 2020, 39(6): 64-67.
GAO Y S, CHEN N.Multi-resource collaborative dispatch optimization model for container port[J]. Logistics technology, 2020, 39(6): 64-67.
[10] 田星, 孟庆柱. 集装箱码头泊位、岸桥和集卡协同调度优化[J]. 物流技术, 2018, 37(3): 32-36, 130.
TIAN X, MENG Q Z.Study on coordinated scheduling of berths, quay cranes and harbor trucks at container terminals[J]. Logistics technology, 2018, 37(3): 32-36, 130.
[11] KERMANI M, SHIRDARE E, PARISE G, et al.A comprehensive technoeconomic solution for demand control in ports: energy storage systems integration[J]. IEEE transactions on industry applications, 2022, 58(2): 1592-1601.
[12] 何俊强, 尹靖元, 师长立, 等. 基于港区交通-能源耦合的混合储能协调调度策略[J]. 电工电能新技术, 2023, 42(8): 10-18.
HE J Q, YIN J Y, SHI C L, et al.Hybrid energy storage coordination scheduling strategy based on coupling of transportation and energy in ports[J]. Advanced technology of electrical engineering and energy, 2023, 42(8): 10-18.
[13] 黄逸文, 黄文焘, 卫卫, 等. 大型海港综合能源系统物流-能量协同优化调度方法[J]. 中国电机工程学报, 2022, 42(17): 6184-6196.
HUANG Y W, HUANG W T, WEI W, et al.Logistics-energy collaborative optimization scheduling method for large seaport integrated energy system[J]. Proceedings of the CSEE, 2022, 42(17): 6184-6196.
[14] 金国彬, 潘狄, 陈庆, 等. 考虑源荷不确定性的直流配电网模糊随机日前优化调度[J]. 电工技术学报, 2021, 36(21): 4517-4528.
JIN G B, PAN D, CHEN Q, et al.Fuzzy random day-ahead optimal dispatch of DC distribution network considering the uncertainty of source-load[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 4517-4528.
[15] 赵书强, 吴杨, 李志伟, 等. 考虑风光出力不确定性的电力系统调峰能力及经济性分析[J]. 电网技术, 2022, 46(5): 1752-1761.
ZHAO S Q, WU Y, LI Z W, et al.Analysis of power system peaking capacity and economy considering uncertainty of wind and solar output[J]. Power system technology, 2022, 46(5): 1752-1761.
[16] 丁明, 林玉娟. 考虑风光荷不确定性的随机生产模拟[J]. 太阳能学报, 2018, 39(10): 2937-2944.
DING M, LIN Y J.Probabilistic production simulation considering randomness of renewable wind power, photovoltaic and load[J]. Acta energiae solaris sinica, 2018, 39(10): 2937-2944.
[17] YIN J Y, PENG X H, HE J Q, et al.Energy management method of a hybrid energy storage system combined with the transportation-electricity coupling characteristics of ports[J]. IEEE transactions on intelligent transportation systems, 2023, 24(12): 14663-14678.
[18] GENNITSARIS S G, KANELLOS F D.Emission-aware and cost-effective distributed demand response system for extensively electrified large ports[J]. IEEE transactions on power systems, 2019, 34(6): 4341-4351.
[19] 娄素华, 胡斌, 吴耀武, 等. 碳交易环境下含大规模光伏电源的电力系统优化调度[J]. 电力系统自动化, 2014, 38(17): 91-97.
LOU S H, HU B, WU Y W, et al.Optimal dispatch of power system integrated with large scale photovoltaic generation under carbon trading environment[J]. Automation of electric power systems, 2014, 38(17): 91-97.