多时间尺度下考虑船舶需求响应的海港综合能源系统优化调度方法An optimal scheduling method for port integrated energy system considering ship demand response at multiple time scales
谢文强,史明明,刘瑞煌,杜灿,华昊辰
XIE Wenqiang,SHI Mingming,LIU Ruihuang,DU Can,HUA Haochen
摘要(Abstract):
针对海港中靠港船舶用电情况差异带来的长时间尺度下峰谷差加剧,以及龙门吊、起重机等冲击性负荷带来的短时间尺度下功率波动的问题,亟需从不同时间尺度实现海港综合能源系统的均衡优化调度。为此,提出一种多时间尺度下考虑船舶需求响应的海港综合能源系统优化调度方法。在日前阶段,利用需求响应机制引导船舶积极参与负荷调整,以减小海港调峰压力;在日内阶段,引入超级电容配合蓄电池来平抑冲击性负荷带来的功率波动。算例仿真结果表明:引入需求响应机制后,船舶根据自身需求和电价信息调整用能策略,有效减小峰谷差;通过日前长时间调度与日内滚动调度相结合,修正了日前调度计划,提高了系统运行的经济性和可靠性。
Due to the increased peak-valley difference at long time scales caused by the differences in electricity usage of ships at the port, as well as the power fluctuations at short time scales caused by impulsive loads such as gantry cranes and hoists, there is an urgent need to achieve balanced and optimal scheduling of port integrated energy system(IES) across different time scales. To address this, an optimal scheduling method for port IES considering ship demand response at multiple time scales is proposed. At the day-ahead stage, the demand response mechanism is used to guide ships to actively participate in load adjustment, thereby reducing the peak-shaving pressure at the port. At the intraday stage, supercapacitors are introduced in combination with batteries to smooth out the power fluctuations caused by impulsive loads. Case simulation results show that after the demand response mechanism is introduced, ships adjust their energy consumption strategies based on their own needs and electricity price information, effectively reducing the peak-valley difference. By combining long-term day-ahead scheduling with intraday rolling scheduling, the day-ahead scheduling plan is corrected, improving the economic efficiency and operational reliability of the system.
关键词(KeyWords):
海港综合能源系统;多时间尺度;需求响应;优化调度
port IES;multi-time scale;demand response;optimal scheduling
基金项目(Foundation): 国家电网有限公司科技项目(J2023043)
作者(Author):
谢文强,史明明,刘瑞煌,杜灿,华昊辰
XIE Wenqiang,SHI Mingming,LIU Ruihuang,DU Can,HUA Haochen
DOI: 10.19585/j.zjdl.202503005
参考文献(References):
- [1] HUA Haochen,QIN Yuchao,HE Zicheng,et al. Energy sharing and frequency regulation in energy Internet via mixed H2/H∞control with Markovian jump[J]. CESS Journal of Power and Energy Systems,2020,7(6):1302-1311.
- [2]李政,陈思源,董文娟,等.碳约束条件下电力行业低碳转型路径研究[J].中国电机工程学报,2021,41(12):3987-4000.LI Zheng,CHEN Siyuan,DONG Wenjuan,et al.Low carbon transition pathway of power sector under carbon emission constraints[J]. Proceedings of the CSEE,2021,41(12):3987-4000.
- [3]曾珠梅,孙建梅.计及电-气-热需求响应的区域综合能源系统运行优化[J].电力工程技术,2024,43(5):48-57.ZENG Zhumei,SUN Jianmei. Operation optimization of regional integrated energy system with electricity-gasthermal demand response[J].Electric Power Engineering Technology,2024,43(5):48-57.
- [4]潘崇超,侯孝旺,金泰,等.计及阶梯碳交易和可再生能源不确定性的综合能源系统低碳研究[J].电测与仪表,2024,61(10):8-16.PAN Chongchao,HOU Xiaowang,JIN Tai,et al.Low carbon research on integrated energy system considering the tiered carbon trading and the uncertainties of renewable energy[J].Electrical Measurement&Instrumentation,2024,61(10):8-16.
- [5] KERMANI M,SHIDARE 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.
- [6] KARIMI S,ZADEH M,SUUL J A.A multilayer framework for reliability assessment of shore-to-ship fast charging system design[J].IEEE Transactions on Transportation Electrification,2022,8(3):3028-3040.
- [7]杜天硕,李军徽,葛磊蛟,等.计及海水淡化电制氢和热惯性的海港综合能源系统优化运行模型[J].电力自动化设备,2023,43(12):143-150.DU Tianshuo,LI Junhui,GE Leijiao,et al.Optimal operation model of seaport integrated energy system with seawater desalination for hydrogen production and thermal inertia[J].Electric Power Automation Equipment,2023,43(12):143-150.
- [8]陈磊,戎士敏,王聪,等.考虑需求侧资源参与的区域综合能源系统低碳协同调度[J].电力建设,2024,45(12):54-64.CHEN Lei,RONG Shimin,WANG Cong,et al. Lowcarbon co-dispatch of integrated regional energy systems considering demand side resource participation[J].Electric Power Construction,2024,45(12):54-64.
- [9]赵佩尧,李正烁,高晗,等.电-气-热综合能源系统协同调度优化研究综述[J].山东电力技术,2024,51(4):1-11.ZHAO Peiyao,LI Zhengshuo,GAO Han,et al.Review on collaborative scheduling optimization of electricity-gasheat integrated energy system[J]. Shandong Electric Power,2024,51(4):1-11.
- [10]张冠宇,付炜,陈晨,等.面向电-气-热综合能源系统的恢复力研究现状与展望[J].智慧电力,2023,51(1):69-77.ZHANG Guanyu,FU Wei,CHEN Chen,et al.Status and prospects of resilience research for electric-gas-thermal integrated energy system[J]. Smart Power,2023,51(1):69-77.
- [11]李欣,陈英彰,李涵文,等.考虑碳交易的电-热综合能源系统两阶段鲁棒优化低碳经济调度[J].电力建设,2024,45(6):58-69.LI Xin,CHEN Yingzhang,LI Hanwen,et al. Two-stage robust optimization of low-carbon economic dispatch for electricity-thermal integrated energy system considering carbon trade[J]. Electric Power Construction,2024,45(6):58-69.
- [12]林森,文书礼,朱淼,等.海港综合能源系统低碳经济发展研究综述[J].中国电机工程学报,2024,44(4):1364-1386.LIN Sen,WEN Shuli,ZHU Miao,et al.Summary of research on low-carbon economy development of comprehensive energy system in seaport[J]. Proceedings of the CSEE,2024,44(4):1364-1385.
- [13]戴磊,王玉冰,郭思清,等.港口岸电系统部署规划技术与运营方法研究综述[J/OL].电力系统自动化:1-19(2024-04-26)[2024-07-23]. http://kns. cnki. net/kcms/detail/32.1180.TP.20240424.0954.008.html.DAI Lei,Wang Yubing,GUO Siqing,et al.Review on deployment planning technology and operation method of port power system[J/OL].Automation of Electric Power Systems:1-19(2024-04-26)[2024-07-23]. http://kns.cnki. net/kcms/detail/32.1180. TP. 20240424.0954.008.html.
- [14]邱银锋,李国香,田浩,等.基于ADMM的海上多平台-岸电供能系统能量-备用协同分布式优化调度[J].电力建设,2023,44(1):21-29.QIU Yinfeng,LI Guoxiang,TIAN Hao,et al.Energy reserve cooperative distributed optimal scheduling for offshore multi-platform and onshore power supply system based on ADMM[J].Electric Power Construction,2023,44(1):21-29.
- [15]周思怡,杨欢红,黄文焘,等.集装箱港口综合能源系统日前-日内两阶段滚动优化调度[J].上海交通大学学报,2024,58(9):1357-1369.ZHOU Siyi,YANG Huanhong,HUANG Wentao,et al.Two-stage day-ahead and intra-day rolling optimization scheduling of container integrated port energy system[J].Journal of Shanghai Jiaotong University,2024,58(9):1357-1369.
- [16]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):6184-6195.HUANG Yiwen,HUANG Wentao,WEI Wei,et al.Logistics-energy collaborative optimization scheduling method for large seaport integrated energy system[J].Proceedings of the CSEE,2022,42(17):6184-6195.
- [17]侯慧,谢应彪,颜玉林,等.基于共享泊位及P2P交易的多港口综合能源系统协同调度[J/OL].中国电机工程学报:1-13(2024-06-12)[2024-07-23].http://kns.cnki.net/kcms/detail/11.2107.tm.20240611.1735.002.html.HOU Hui,XIE Yingbiao,YAN Yulin,et al.Collaborative scheduling of multi-port integrated energy systems based on shared berths and P2P trading[J/OL].Proceedings of the CSEE:1-13(2024-06-12)[2024-07-23]. http://kns.cnki. net/kcms/detail/11.2107. tm. 20240611.1735.002.html.
- [18] MAO A J,YU T T,DING Z H,et al.Optimal scheduling for seaport integrated energy system considering flexible berth allocation[J].Applied Energy,2022,308:118386.
- [19]王萧博,黄文焘,邰能灵,等.面向源储优化配置的港口微电网运行场景高保真压缩与重构方法[J].中国电机工程学报,2023,43(15):5839-5849.WANG Xiaobo,HUANG Wentao,TAI Nengling,et al.High fidelity compression and reconstruction method of port microgrid operation scene oriented to optimal allocation of source and storage[J].Proceedings of the CSEE,2023,43(15):5839-5849.
- [20]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):1397-1405.YUAN Tiejiang,GUO Jianhua,YANG Zijuan,et al.Optimal allocation of hybrid energy storage capacity of electricity and hydrogen to stabilize wind power fluctuation[J].Proceedings of the CSEE,2024,44(4):1397-1405.
- [21] SHI Z C,FAN F L,TAI N L,et al.Coordinated operation of the multiple types of energy storage systems in the green-seaport energy-logistics integrated system[J].IEEE Transactions on Industry Applications,2024,60(3):4482-4493.
- [22] WANG X B,HUANG W T,WEI W,et al.Day-ahead optimal economic dispatching of integrated port energy systems considering hydrogen[J].IEEE Transactions on Industry Applications,2022,58(2):2619-2629.
- [23] HUA H C,QIN Y C,HAO C T,et al. Optimal energy management strategies for energy Internet via deep reinforcement learning approach[J]. Applied Energy,2019,239:598-609.
- [24]王佳蕊,孙勇,胡枭,等.基于MICP的多能耦合综合能源系统可再生能源消纳能力研究[J].电力建设,2023,44(8):157-170.WANG Jiarui,SUN Yong,HU Xiao,et al.Research on renewable energy absorption capacity of multi-energy coupling integrated energy systems based on MICP[J].Electric Power Construction,2023,44(8):157-170.
- [25]王玮,张晓晴,苏粟,等.基于模型预测控制的含岸电混合能源系统优化运行[J].电力自动化设备,2021,41(11):17-24.WANG Wei,ZHANG Xiaoqing,SU Su,et al.Optimal operation of hybrid energy system considering cold ironing based on model predictive control[J].Electric Power Automation Equipment,2021,41(11):17-24.
- [26] JU C Q,WANG P,GOEL L,et al.A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs[J]. IEEE Transactions on Smart Grid,2018,9(6):6047-6057.
- [27]初壮,赵蕾,孙健浩,等.考虑热能动态平衡的含氢储能的综合能源系统热电优化[J].电力系统保护与控制,2023,51(3):1-12.CHU Zhuang,ZHAO Lei,SUN Jianhao,et al. Thermoelectric optimization of an integrated energy system with hydrogen energy storage considering thermal energy dynamic balance[J].Power System Protection and Control,2023,51(3):1-12.
- [28]侯慧,甘铭,吴细秀,等.考虑移动氢能存储的港口多能海港两阶段分布鲁棒优化调度[J].中国电机工程学报,2024,44(8):3078-3093.HOU Hui,GAN Ming,WU Xixiu,et al.Two-stage distributionally robust optimal scheduling for port multi-energy microgrid considering mobile hydrogen energy storage[J].Proceedings of the CSEE,2024,44(8):3078-3093.
- [29]赵景茜,米翰宁,程昊文,等.考虑岸电负荷弹性的港区综合能源系统规划模型与方法[J].上海交通大学学报,2021,55(12):1577-1585.ZHAO Jingqian,MI Hanning,CHENG Haowen,et al.A planning model and method for an integrated port energy system considering shore power load flexibility[J].Journal of Shanghai Jiaotong University,2021,55(12):1577-1585.
- [30] LI C Y,YAN Z C,YAO Y M,et al. Coordinated lowcarbon dispatching on source-demand side for integrated electricity-gas system based on integrated demand response exchange[J]. IEEE Transactions on Power Systems,2024,39(1):1287-1303.
- [31]林森,文书礼,朱淼,等.考虑碳交易机制的海港综合能源系统电-热混合储能优化配置[J].上海交通大学学报,2024,58(9):1344-1356.LIN Sen,WEN Shuli,ZHU Miao,et al. Optimal allocation of electric-thermal hybrid energy storage for seaport integrated energy system considering carbon trading mechanism[J]. Journal of Shanghai Jiaotong University,2024,58(9):1344-1356.
- [32]杜易达,谭忠富.基于纳什谈判的电氢能源系统多时间尺度协同运行优化[J].电网技术,2024,48(7):2745-2753.DU Yida,TAN Zhongfu.Multi-time scale cooperative operation optimization of electric hydrogen energy system based on Nash negotiation[J].Power System Technology,2024,48(7):2745-2753.
- [33]袁航航,张自雷,张继红,等.含热泵的多时间尺度微能源网优化调度设计[J].电气应用,2023,42(8):114-120.YUAN Hanghang,ZHANG Zilei,ZHANG Jihong,et al.Optimal dispatch design of multi-time scale micro-energy network with heat pump[J].Electrotechnical Application,2023,42(8):114-120.
- [34] ZHANG Q,WU X H,DENG X S,et al.Bidding strategy for wind power and large-scale electric vehicles participating in Day-ahead energy and frequency regulation market[J].Applied Energy,2023,341:121063.
- [35]王利猛,刘雪梦,李扬,等.阶梯式碳交易机制下考虑需求响应的综合能源系统低碳优化调度[J].电力建设,2024,45(2):102-114.WANG Limeng,LIU Xuemeng,LI Yang,et al. Lowcarbon optimal dispatch of integrated energy system considering demand response under the tiered carbon trading mechanism[J].Electric Power Construction,2024,45(2):102-114.
- [36]胡国峰,李勇,曹一家,等.考虑多能负荷波动实时平衡的综合能源系统多时间尺度优化调度[J].电力自动化设备,2024,44(5):120-126.HU Guofeng,LI Yong,CAO Yijia,et al.Multi-time scale optimal scheduling of integrated energy system considering real-time balance of multi-energy load fluctuation[J].Electric Power Automation Equipment,2024,44(5):120-126.