郑瑛,黄辉,戚奇峰,张有兵,毛毳,朱凯翔,冯昌森
ZHENG Ying,HUANG Hui,QI Qifeng,ZHANG Youbing,MAO Cui,ZHU Kaixiang,FENG Changsen

• 1:浙江华云电力工程设计咨询有限公司
• 2:浙江工业大学信息工程学院

摘要(Abstract)：

智能楼宇的产消者特性不仅可以促进RES（可再生能源）就地消纳，还能够通过P2P（点对点）电能交易机制协调内部柔性负荷降低用电成本。基于此，以智能楼宇中的WPV（风光）资源和柔性负荷为分析对象，提出了一种计及电能-调节容量联合交易的智能楼宇P2P优化调度策略。首先通过调整柔性负荷的用电来提供调节容量，消除WPV出力的预测偏差。然后提出电能-调节容量联合交易市场机制，将电能和调节容量同时作为市场的交易商品参与P2P交易。最后，采用算例对所提方法和模型进行分析，结果表明所提模型不仅可以有效增加WPV就地消纳量，还能促使市场用户积极参与P2P交易。
Smart buildings, as prosumers, not only facilitate the local consumption of renewable energy sources(RES) but also coordinate internal flexible loads to reduce electricity consumption costs through peer-to-peer(P2P) electrical energy transactions. Based on this, the paper analyzes wind-photovoltaic(WPV) resources and flexible loads in smart buildings and proposes a P2P optimal scheduling strategy that incorporates joint transactions of electricity and regulation capacity. Initially, flexible load adjustments are used to provide regulation capacity, eliminating the prediction deviations of WPV outputs. Subsequently, the paper introduces a combined transaction mechanism for electricity and regulation capacity, where both electricity and regulation capacity are traded as market commodities in P2P transactions. Finally, case studies are conducted to analyze the proposed method and model. The results demonstrate that the proposed model not only effectively increases the local consumption of WPV but also encourages market participants to actively engage in P2P transactions.

关键词(KeyWords)： 智能楼宇;点对点交易;风光不确定性;柔性负荷;联合交易市场
smart building;P2P transaction;WPV uncertainty;flexible load;joint trading market

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金（U22B20116）

作者(Author): 郑瑛,黄辉,戚奇峰,张有兵,毛毳,朱凯翔,冯昌森
ZHENG Ying,HUANG Hui,QI Qifeng,ZHANG Youbing,MAO Cui,ZHU Kaixiang,FENG Changsen

DOI: 10.19585/j.zjdl.202411014

参考文献(References)：

• [1]周军，李佳旺，马鸿君，等.考虑点对点电能共享的智能楼宇群分布式优化调度[J].电力自动化设备，2021,41(10):113-121.ZHOU Jun,LI Jiawang,MA Hongjun,et al. Distributed optimal scheduling for smart building clusters considering peer-to-peer electric energy sharing[J].Electric Power Automation Equipment,2021,41(10):113-121.
• [2]辛锐，张瑜，郝保中，等.考虑响应不确定性的高比例可再生能源微电网优化策略[J].供用电，2021,38(9):35-41.XIN Rui,ZHANG Yu,HAO Baozhong,et al. Optimization strategy of high proportion renewable energy microgrid considering response uncertaintye[J]. Distribution&Utilization,2021,38(9):35-41.
• [3]尚文强，李广磊，丁月明，等.考虑源荷不确定性和新能源消纳的综合能源系统协同调度方法[J].电网技术，2024,48(2):517-532.SHANG Wenqiang,LI Guanglei,DING Yueming,et al.Collaborative scheduling for integrated energy system considering uncertainty of source load and absorption of new energy[J]. Power System Technology,2024,48(2):517-532.
• [4]范宏，于伟南，柳璐，等.双碳下考虑电氢互补的智慧园区多楼宇协调调度[J].电力系统自动化，2022,46(21):42-51.FAN Hong,YU Weinan,LIU Lu,et al.Multi-building coordinated dispatch in smart park for carbon emission peak and carbon neutrality considering electricity and hydrogen complementary[J]. Automation of Electric Power Systems,2022,46(21):42-51.
• [5]胡洁，李培强，林仕满，等.考虑分时电价差异性和基于主从博弈的智能楼宇集群能量共享方法[J].电网技术，2021,45(12):4738-4750.HU Jie,LI Peiqiang,LIN Shiman,et al. Energy-sharing method for smart building clusters considering differences of Time-of-use prices and based on master-slave game[J].Power System Technology,2021,45(12):4738-4750.
• [6]刘辉，熊振宇，黄立冬.考虑连续双向拍卖机制的楼宇群日前优化调度[J/OL].重庆大学学报，1-20[2024-03-03].http：//kns. cnki. net/kcms/detail/50.1044. n. 20230307.1653.002.html.LIU Hui,XIONG Zhenyu,HUANG Lidong. Day-ahead optimal scheduling of buildings with considering continues double auction trading mechanism[J/OL]. Journal of Chongqing University,1-20[2024-03-03].http：//kns.cnki.net/kcms/detail/50.1044.n.20230307.1653.002.html.
• [7]胡鹏，艾欣，杨昭，等.考虑电能共享的综合能源楼宇群日前协同优化调度[J].电力自动化设备，2019,39(8):239-245.HU Peng,AI Xin,YANG Zhao,et al.Day-ahead optimal scheduling for cluster building with integrated energy system considering power sharing[J].Electric Power Automation Equipment,2019,39(8):239-245.
• [8] SOUSA T,SOARES T,PINSON P,et al.Peer-to-peer and community-based markets:a comprehensive review[J]. Renewable and Sustainable Energy Reviews,2019,104:367-378.
• [9]王书峰，钟明，许贤泽，等.计及需求侧管理的新能源微电网多目标优化调度方法[J].智慧电力，2022,50(12):55-62.WANG Shufeng,ZHONG Ming,XU Xianze,et al.Multiobjective optimal scheduling method for renewable energy microgrid considering demand side management[J].Smart Power,2022,50(12):55-62.
• [10]王丹，杨俊涛，曾燕，等.考虑源荷不确定性的配电网风光储综合规划[J].电力需求侧管理，2023,25(5):65-72.WANG Dan,YANG Juntao,ZENG Yan,et al.Comprehensive planning of wind-PV-storage in distribution network considering uncertainty of source and load[J].Power Demand Side Management,2023,25(5):65-72.
• [11]杜刚，赵冬梅，刘鑫.计及风电不确定性优化调度研究综述[J].中国电机工程学报，2023,43(7):2608-2627.DU Gang,ZHAO Dongmei,LIU Xin.Research review on optimal scheduling considering wind power uncertainty[J].Proceedings of the CSEE,2023,43(7):2608-2627.
• [12]胡寰宇，艾欣，胡俊杰，等.考虑电动汽车移动储能特性的智能楼宇群能量管理方法[J].电力自动化设备，2022,42(10):227-235.HU Huanyu,AI Xin,HU Junjie,et al. Energy management method of smart building cluster considering mobile energy storage characteristics of electric vehicles[J].Electric Power Automation Equipment,2022,42(10):227-235.
• [13]刘东铭，曾庆彬，张勇军，等.考虑多重不确定性和潜在博弈的楼宇群电能优化调度策略[J/OL].电力自动化设备，1-14[2024-03-03]. https：//doi. org/10.16081/j. epae.202311011.LIU Dongming,ZENG Qingbin,ZHANG Yongjun.et al.Optimal energy scheduling strategy of building groups considering multiple uncertainties and potential games[J/OL].Electric Power Automation Equipment,1-14[2024-03-03].https：//doi.org/10.16081/j.epae.202311011.
• [14]高红均，尚梦琪，贺帅佳，等.保障极端高温事件下负荷可靠供应的楼宇综合能源规划[J/OL].中国电机工程学报，1-15[2024-03-03].https：//doi.org/10.13334/j.0258-8013.pcsee.231603.GAO Hongjun,SHANG Mengqi,HE Shuaijia,et al.Integrated energy planning for buildings to ensure reliable load supply during extreme heat events[J/OL].Proceedings of the CSEE,1-15[2024-03-03].https：//doi.org/10.13334/j.0258-8013.pcsee.231603.
• [15]周承翰，贾宏杰，靳小龙，等.基于机会约束规划的智能楼宇与社区综合能源系统协调优化[J].电力系统自动化，2023,47(4):42-50.ZHOU Chenghan,JIA Hongjie,JIN Xiaolong,et al.Coordinated optimization for intelligent building and integrated community energy system based on chance-constrained programming[J].Automation of Electric Power Systems,2023,47(4):42-50.
• [16]杨秀，胡晓龙，孙改平，等.考虑电能共享的楼宇虚拟电厂协调优化调度[J].电力科学与技术学报，2022,37(1):96-105.YANG Xiu,HU Xiaolong,SUN Gaiping,et al. Coordinated optimization scheduling of building virtual power plant considering power sharing[J]. Journal of Electric Power Science and Technology,2022,37(1):96-105.
• [17]任文诗，高红均，刘友波，等.智能建筑群电能日前优化共享[J].电网技术，2019,43(7):2568-2577.REN Wenshi,GAO Hongjun,LIU Youbo,et al.Optimal day-ahead electricity scheduling and sharing for smart building cluster[J]. Power System Technology,2019,43(7):2568-2577.
• [18] WANG F,ZHOU L D,REN H,et al.Multi-objective optimization model of source-load-storage synergetic dispatch for building energy system based on TOU price demand response[C]//2017 IEEE Industry Applications Society Annual Meeting.October 1-5,2017.Cincinnati,OH.IEEE,2017.
• [19]孔祥玉，马玉莹，艾芊，等.新型电力系统多元用户的用电特征建模与用电负荷预测综述[J].电力系统自动化，2023,47(13):2-17.KONG Xiangyu,MA Yuying,AI Qian,et al.Review on Electricity consumption characteristic modeling and load forecasting for diverse users in new power system[J].Automation of Electric Power Systems,2022,2023,47(13):2-17.
• [20] LIU N,YU X H,WANG C,et al.Energy-sharing model with price-based demand response for microgrids of peerto-peer prosumers[J].IEEE Transactions on Power Systems,2017,32(5):3569-3583.
• [21] ZHANG Z,LI R,LI F.A novel peer-to-peer local electricity market for joint trading of energy and uncertainty[J].IEEE Transactions on Smart Grid,2020,11(2):1205-1215.