阮涛,朱三立,葛辉,张晓燕
RUAN Tao,ZHU Sanli,GE Hui,ZHANG Xiaoyan

• 1:中国专利信息中心
• 2:南京邮电大学自动化学院
• 3:人工智能学院
• 4:国电南瑞南京控制系统有限公司

摘要(Abstract)：

EH（能源枢纽）可有效促进高不确定性可再生能源消纳，而现行EH规划方法中未充分考虑定址与配容的相关性。因此，提出一种考虑BSD（供需平衡度）的交替优化方法。首先，基于图论理论和相似度加权定义了表征能路传输代价的EM（能矩）概念，提出以EM总和最小为目标的能源互联网系统分区优化准则；然后，根据供用能实体时序能量交互信息计算每个EH辖区内的BSD指标；继而，以寻求整个能源互联网系统BSD均值最高为目标，提出EH内部多能耦合单元的配容策略；在此基础上，构建基于K均值聚类的EH定址与配容交替优化模型，并通过迭代EH数量获得最优解。最后，通过算例分析，结果表明所提方法能有效提升EH规划的准确性与经济性。
Energy hubs(EHs) can effectively facilitate the consumption of renewable energy with high uncertainty.Still, the existing EH planning methods have not fully considered the correlation between siting and sizing. Hence, this study introduces an alternate optimization method considering the supply-demand balance. Firstly, utilizing graph theory and weighted similarity, the study defines the energy moment(EM), a concept that represents the energy transmission cost, and proposes an optimal partitioning criterion for energy internet system with minimum total EM as the goal. Subsequently, the supply-demand balance index within each EH is calculated based on the timeseries energy interaction information of the energy supply and demand entities. The paper then proposes a sizing strategy for multi-energy coupling units within EH, aiming to maximize the average supply-demand balance of the entire energy internet system. On this basis, the paper constructs an alternate optimization model for EH siting and sizing based on K-means clustering, and achieves an optimal solution through iteration of EHs. Finally, case studies are presented, and their results indicate that the proposed method can significantly improve the accuracy and economy of EH planning.

关键词(KeyWords)： 能源枢纽;供需平衡度;定址;配容;交替优化
EH;supply-demand balance;siting;sizing;alternate optimization

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（52077106）;; 国家电网有限公司总部项目科技项目（5400-202119156A-0-0-00）

作者(Author): 阮涛,朱三立,葛辉,张晓燕
RUAN Tao,ZHU Sanli,GE Hui,ZHANG Xiaoyan

DOI: 10.19585/j.zjdl.202409004

参考文献(References)：

• [1]王丹，智云强，贾宏杰，等.基于多能源站协调的区域电力—热力系统日前经济调度[J].电力系统自动化，2018,42(13):59-67.WANG Dan,ZHI Yunqiang,JIA Hongjie,et al. Dayahead economic dispatch strategy of regional electricityheating integrated energy system based on multiple energy stations[J].Automation of Electric Power Systems,2018,42(13):59-67.
• [2]康重庆，杜尔顺，李姚旺，等.新型电力系统的“碳视角”：科学问题与研究框架[J].电网技术，2022,46(3):821-833.KANG Chongqing,DU Ershun,LI Yaowang,et al. Key scientific problems and research framework for carbon perspective research of new power systems[J].Power System Technology,2022,46(3):821-833.
• [3]李立浧，张勇军，陈泽兴，等.智能电网与能源网融合的模式及其发展前景[J].电力系统自动化，2016,40(11):1-9.LI Licheng,ZHANG Yongjun,CHEN Zexing,et al.Merger between smart grid and energy-net:mode and development prospects[J]. Automation of Electric Power Systems,2016,40(11):1-9.
• [4]吕佳炜，张沈习，程浩忠，等.考虑互联互动的区域综合能源系统规划研究综述[J].中国电机工程学报，2021,41(12):4001-4021.LYU Jiawei,ZHANG Shenxi,CHENG Haozhong,et al.Review on district-level integrated energy system planning considering interconnection and interaction[J]. Proceedings of the CSEE,2021,41(12):4001-4021.
• [5]张娜，王欢，宋坤，等.基于多能源需求响应的综合能源系统动态优化控制研究[J].电测与仪表，2023,60(2):16-24.ZHANG Na,WANG Huan,SONG Kun,et al.Study on dynamic optimal control of integrated energy system based on multi-energy demand response[J].Electrical Measurement&Instrumentation,2023,60(2):16-24.
• [6]范宏，鲁家阳，陆骁霄.考虑激励型需求响应的多区域综合能源系统协同规划[J].电测与仪表，2023,60(9):117-124.FAN Hong,LU Jiayang,LU Xiaoxiao.Coordinated planning of multi-region integrated energy system considering incentive demand response[J].Electrical Measurement&Instrumentation,2023,60(9):117-124.
• [7]宋卓然，程孟增，牛威，等.面向能源互联网的零碳园区优化规划关键技术与发展趋势[J].电力建设，2022,43(12):15-26.SONG Zhuoran,CHENG Mengzeng,NIU Wei,et al.Key technologies and development trends of zero-carbon park optimization planning for energy Internet[J]. Electric Power Construction,2022,43(12):15-26.
• [8]任荣荣，肖群，赵壮.基于电-气互联的微网系统多目标优化研究[J].电力电容器与无功补偿，2023,44(5):124-130.REN Rongrong,XIAO Qun,ZHAO Zhuang.Research on multi-objective optimization of microgrid system based on electricity-gas interconnection[J].Power Capacitor&Reactive Power Compensation,2023,44(5):124-130.
• [9] LIU Z F,ZENG M Q,ZHOU H Z,et al. A planning method of regional integrated energy system based on the energy hub zoning model[J]. IEEE Access,2021,9:32161-32170.
• [10] OLSEN D J,ZHANG N,KANG C Q,et al.Planning lowcarbon campus energy hubs[J]. IEEE Transactions on Power Systems,2019,34(3):1895-1907.
• [11]蒋玮，余斌，郁家麟，等.蜂巢状有源配电网中多端口能量枢纽控制策略[J].电力工程技术，2023,42(5):70-79.JIANG Wei,YU Bin,YU Jialin,et al.Control strategy of multi-port energy hub in honeycomb active distribution network[J]. Electric Power Engineering Technology,2023,42(5):70-79.
• [12]渠敬涛.基于多能互补的综合能源系统规划案例分析[J].电工技术，2020(24):43-46.QU Jingtao. Case analysis of integrated energy system planning based on multi-energy complementation[J].Electric Engineering,2020(24):43-46.
• [13]刘维康，王丹，余晓丹，等.考虑电气转换储能和可再生能源集成的微能源网多目标规划[J].电力系统自动化，2018,42(16):11-20.LIU Weikang,WANG Dan,YU Xiaodan,et al. Multiobjective planning of micro energy network considering P2G-based storage system and renewable energy integration[J].Automation of Electric Power Systems,2018,42(16):11-20.
• [14]郭慧，汪飞，张笠君，等.基于能量路由器的能源互联网分层分区优化[J].中国电机工程学报，2018,38(16):4726-4737.GUO Hui,WANG Fei,ZHANG Lijun,et al.Hierarchical and zonal optimization of the energy router based energy Internet[J]. Proceedings of the CSEE,2018,38(16):4726-4737.
• [15]曲超.基于图论的区域综合能源系统选址规划研究[D].济南：山东大学，2021.QU Chao.Research on location planning of regional integrated energy system based on graph theory[D]. Jinan:Shandong University,2021.
• [16] CHE L,ZHANG X P,SHAHIDEHPOUR M,et al.Optimal planning of loop-based microgrid topology[J]. IEEE Transactions on Smart Grid,2017,8(4):1771-1781.
• [17]陈瑜玮，孙宏斌，郭庆来.综合能源系统分析的统一能路理论（五）：电-热-气耦合系统优化调度[J].中国电机工程学报，2020,40(24):7928-7937.CHEN Yuwei,SUN Hongbin,GUO Qinglai.Energy circuit theory of integrated energy system analysis （Ⅴ）：integrated electricity-heat-gas dispatch[J].Proceedings of the CSEE,2020,40(24):7928-7937.
• [18]陈彬彬，孙宏斌，陈瑜玮，等.综合能源系统分析的统一能路理论（一）：气路[J].中国电机工程学报，2020,40(2):436-444.CHEN Binbin,SUN Hongbin,CHEN Yuwei,et al. Energy circuit theory of integrated energy system analysis(I):gaseous circuit[J].Proceedings of the CSEE,2020,40(2):436-444.
• [19]郭慧.区域能源互联网的分布式系统规划与优化控制研究[D].上海：上海大学，2019.Guo Hui. Distributed system planning and optimization control of regional energy internet[D].Shanghai:Shanghai University,2019.
• [20]陈娟.能源互联网背景下的区域分布式能源系统规划研究[D].北京：华北电力大学，2017.CHEN Juan.Research on planning of regional distributed energy system under energy internet[D]. Beijing:North China Electric Power University,2017.
• [21]王丹，孟政吉，贾宏杰，等.基于配置-运行协同优化的分布式能源站选型与定容规划[J].电力自动化设备，2019,39(8):152-160.WANG Dan,MENG Zhengji,JIA Hongjie,et al. Siting and sizing planning for distributed energy station based on coordinated optimization of configuration and operation[J].Electric Power Automation Equipment,2019,39(8):152-160.
• [22] HUANG W J,ZHANG N,YANG J W,et al. Optimal configuration planning of multi-energy systems considering distributed renewable energy[J]. IEEE Transactions on Smart Grid,2019,10(2):1452-1464.
• [23] LI P H,SHENG W X,DUAN Q,et al. A Lyapunov optimization-based energy management strategy for energy hub with energy router[J]. IEEE Transactions on Smart Grid,2020,11(6):4860-4870.
• [24]陈吉，邹志任.压差式电池充电器在天然气管线中的应用分析[J].电气自动化，2016,38(1):94-96.CHEN Ji,ZOU Zhiren.An analysis on the application of the differential pressure type battery charger in natural gas pipelines[J].Electrical Automation,2016,38(1):94-96.
• [25]罗庆，张新燕，晁勤，等.基于逆向需求响应的风力发电与储能式空调负荷的调度模型研究[J].太阳能学报，2020,41(5):191-195.LUO Qing,ZHANG Xinyan,CHAO Qin,et al.Research on load scheduling model of wind power generation and energy storage air conditioning based on reverse demand response[J].Acta Energiae Solaris Sinica,2020,41(5):191-195.
• [26]梁玥，陈思，汤银英.FA-kmeans算法下面向城乡物流网络优化的网点选址研究[J].综合运输，2021,43(5):115-122.LIANG Yue,CHEN Si,TANG Yinying. Site selection for urban and rural logistics network optimization based on FA-kmeans algorithm[J]. China Transportation Review,2021,43(5):115-122.
• [27]李金超，李庚银，牛东晓，等.基于改进BP神经网络的配电变电站选址研究[J].华东电力，2007,35(3):10-12.LI Jinchao,LI Gengyin,NIU Dongxiao,et al.Assessment of distribution substation site selection based on improved BP neural networks[J].East China Electric Power,2007,35(3):10-12.
• [28]李炳华，岳云涛，王立坤，等.等效负荷矩的研究及应用[J].建筑电气，2012,31(12):3-9.LI Binghua,YUE Yuntao,WANG Likun,et al.Research and application of equivalent load moment[J]. Building Electricity,2012,31(12):3-9.