数字孪生技术赋能动态需求侧资源池构建应用展望Application Prospect of Digital Twin Technology Enabling Dynamic Demand Side Resource Pool Construction
李彬,王京菊,曹皓翔,唐天悦
LI Bin,WANG Jingju,CAO Haoxiang,TANG Tianyue
摘要(Abstract):
针对现有技术在需求侧资源数据和互动模式建模方面存在精确性低、协调性差、互动效率难以保证等问题,采用数字孪生技术赋能动态需求侧资源池的构建,分析了数字孪生的标准化历程和实践现状,结合技术特征研究其在需求侧资源互动中的主要支撑技术和关键因素,梳理需求侧资源数字孪生映射关联关系,提出基于数字孪生技术的需求侧可调节资源演化平台构建思路,通过数字孪生技术弥补了需求侧资源互动频次少造成的训练样本缺失和调节过程复杂、实际操作成本高导致的推演困难,提升了需求侧资源互动的智能化、数字化水平。
Aiming at the problems such as low accuracy, poor coordination and difficulty in ensuring interaction efficiency of existing technologies in demand-side resource data and interaction model modeling, the digital twin technology is adopted to enable the construction of dynamic demand-side resource pool, and the standardization process and practice status of digital twin are analyzed. Combined with its technical characteristics, the main supporting technologies and key factors of digital twin in demand-side resource interaction are studied. This paper sorts out the mapping relationship between demand-side resource and digital twin, proposes the idea of building a demand-side adjustable resource evolution platform based on digital twin technology. Digital twin technology makes up for the lack of training samples caused by the low frequency of demand-side resource interaction, and the difficulties in inference caused by complex adjustment process and high actual operation cost, and improves the intelligent and digital level of demand-side resource interaction.
关键词(KeyWords):
数字孪生;需求侧资源互动;虚实映射;演化分析
digital twin technology;demand-side resource interaction;virtual reality mapping;evolutionary analysis
基金项目(Foundation): 国家电网有限公司科技项目“分布式‘源荷储’资源聚合调控通信技术研究及应用”(5700-202258216A-1-1-ZN)
作者(Author):
李彬,王京菊,曹皓翔,唐天悦
LI Bin,WANG Jingju,CAO Haoxiang,TANG Tianyue
参考文献(References):
- [1] Stefan Mihai, Mahnoor Yaqoob, Dang V. Hung, et al. Digital Twins:A Survey on Enabling Technologies, Challenges, Trends and Future Prospects[J]. IEEE Communications Surveys&Tutorials, 2022, 24(4):2255-2291.
- [2] J. Wu, Y. Yang, X. Cheng, et al. The Development of Digital Twin Technology Review[C]//IEEE. 2020 Chinese Automation Congress(CAC). Shanghai, 2020:4901-4906.
- [3]严兴煜,高赐威,陈涛,等.数字孪生虚拟电厂系统框架设计及其实践展望[J/OL].中国电机工程学报:1-17[2022-10-23].
- [4]张露,鲁非,刘睿,等.新型电力系统背景下电力装备数字孪生技术架构及应用展望[J].湖北电力,2022,46(3):36-44.ZHANG Lu, LU Fei, LIU Rui, et al. Framework and Application of Digital Twin Technology in Electric Equipment under the Background of New Power System[J]. Hubei Electric Power, 2022, 46(3):36-44.
- [5] L.-. T. Reiche, C. S. Gundlach, G. F. Mewes, et al. The Digital Twin of a System:A Structure for Networks of Digital Twins[C]//IEEE. 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation(ETFA). Vasteras,2021:1-8.
- [6]赵鹏,蒲天骄,王新迎,等.面向能源互联网数字孪生的电力物联网关键技术及展望[J].中国电机工程学报,2022,42(2):447-458.ZHAO Peng, PU Tianjiao, WANG Xinying, et al. Key Technologies and Perspectives of Power Internet of Things Facing With Digital Twins of the Energy Internet[J]. Proceedings of the CSEE, 2022, 42(2):447-458.
- [7] W. Chai, Q. Ma. Application of Digital Twin and Hologram Technology to Achieve Distribution Network Reliability Forecast[C]//IEEE. 2022 7th Asia Conference on Power and Electrical Engineering(ACPEE). Hangzhou, 2022:783-787.
- [8] S. Deng, J. Zhong, S. Chen, et al. Digital Twin Modeling for Demand Responsive Transit[C]//IEEE. 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence(DTPI). Beijing, 2021:410-413.
- [9]陶飞,刘蔚然,刘检华,等.数字孪生及其应用探索[J].计算机集成制造系统,2018,24(1):1-18.TAO Fei, LIU Weiran, LIU Jianhua, et al. Digital twin and its potential application exploration[J]. Computer Integrated Manufacturing Systems, 2018, 24(1):1-18.
- [10]个人图书馆.数字孪生电网白皮书[EB/OL].(2021-07-28)[2022-11-06].http://www.360doc6.net/wxarticlenew/988562528.html.
- [11]中国标准服务网.数据中心数字孪生技术规范(T/DZJN 47-202)[EB/OL].(2021-10-20)[2022-11-06].https://www.cssn.net.cn/cssn/productDetail/501d5d913f15415bf32c840658fcbf33.
- [12]中国电力企业联合会.电力行业数字孪生技术应用白皮书(2022)[EB/OL].(2022-10-18)[2022-11-06].http://www.199it.com/archives/1507049.html.
- [13]卢锦玲,颜禄涵,腊志源,等.基于数字孪生与动态能效模型的综合能源系统实时优化调度策略[J].电网技术,2023,47(1):226-238.
- [14]彭大健,裴玮,肖浩,等.数据驱动的用户需求响应行为建模与应用[J].电网技术,2021,45(7):2577-2586.PENG Dajian, PEI Wei, XIAO Hao, et al. Data-driven Consumer Demand Response Behavior Modelization and Application[J]. Power System Technology, 2021, 45(7):2577-2586.
- [15]赵琦,王新迎,乔骥.数据驱动的能源互联网建模与仿真关键技术[J].电力信息与通信技术,2020,18(1):39-45.ZHAO Qi, WANG Xinying, QIAO Ji. Key Technologies of Data-driven Energy Interconnection Modeling and Simulation[J].Electric Power Information and Communication Technology,2020, 18(1):39-45.
- [16] K. Zhu, N. Hua, Y. Li, et al. The Impact of Data Acquisition Inconsistency and Time Sensitivity on Digital Twin for AIDriven Optical Networks[C]//IEEE. 2021 IEEE 6th Optoelectronics Global Conference(OGC). Shenzhen, 2021:225-226.
- [17] L. Massel, A. Massel. Ontologies as a Basis for Constructing Digital Twins in Energy[C]//IEEE. 2021 International Symposium on Knowledge, Ontology, and Theory(KNOTH).Akademgorodok, 2021:1-5.
- [18]周育忠,林正平,涂亮,等.电网运营知识体系中数字孪生技术展望和思考[J].中南民族大学学报(自然科学版),2023,42(1):88-94.ZHOU Yuzhong, LIN Zhengping, TU Liang, et al. Prospect and thinking of Digital Twin technology in power grid operation knowledge system[J]. Journal of South-Central University for Nationalities(Natural Science Edition), 2023, 42(1):88-94.
- [19]白嘉浩,付学谦.碳中和背景下农业能源互联网电能替代综述[J].综合智慧能源,2022,44(6):1-11.BAI Jiahao, FU Xueqian. Review on electric energy substitution of agricultural energy internet in the context of carbon neutrality[J]. Integrated Intelligent Energy, 2022, 44(6):1-11.
- [20]沈沉,曹仟妮,贾孟硕,等.电力系统数字孪生的概念、特点及应用展望[J].中国电机工程学报,2022,42(2):487-499.SHEN Chen, CAO Qianni, JIA Mengshuo, et al. Concepts,Characteristics and Prospects of Application of Digital Twin in Power System[J]. Proceedings of the CSEE, 2022, 42(2):487-499.
- [21]王鑫,王霖,余芸,等.数字孪生电网的特性、架构及应用综述[J].电子与信息学报,2022,44(11):3721-3733.WANG Xin, WANG Lin, YU Yun, et al. Survey on Characteristics, Architecture and Applications of Digital Twin Power Grid[J]. Journal of Electronics&Information Technology,2022, 44(11):3721-3733.
- [22] A. I. Vodyaho, N. A. Zhukova, S. A. M. Abbas, et al. On one Approach to the Dynamic Digital Twins Models Synthesis[C]//IEEE. 2022 XXV International Conference on Soft Computing and Measurements(SCM). Saint Petersburg, 2022:126-128.
- [23] G. Cainelli, L. Rauchhaupt. Introducing resilience inindustrial5G systems using a digital twin approach[C]//IEEE. 2021 17 th IEEE International Conference on Factory Communication Systems(WFCS). Linz, 2021:33-36.
- [24] W.-n. Song, T. Li, J.-h. Zhou, et al. A Real-Time Digital Twin Model Dynamically Modifying Method Based on Consistency Measurement Model[C]//IEEE. 2021 IEEE 4th International Conference on Electronics Technology(ICET). Chengdu,2021:406-410.
- [25]白鹤举.数字孪生技术在电力系统应用分析[J].数字通信世界,2022(1):114-116.BAI Heju. Application Analysis of Digital twin Technology in Power System[J]. Digital communication World, 2022(1):114-116.
- [26]相晨萌,曾四鸣,闫鹏,等.数字孪生技术在电网运行中的典型应用与展望[J].高电压技术,2021,47(5):1564-1575.XIANG Chenmeng, ZENG Siming, YAN Peng, et al. Typical Application and Prospect of Digital Twin Technology in Power Grid Operation[J]. High Voltage Engineering, 2021, 47(5):1564-1575.
- [27] Y. Zhu, D. Chen, C. Zhou, et al. A knowledge graph based construction method for Digital Twin Network[C]//IEEE. 2021IEEE 1st International Conference on Digital Twins and Parallel Intelligence(DTPI). Beijing, 2021:362-365.
- [28]杨帆,朱力,刁冠勋,等.面向电力设备数字孪生的RFID传感器与数据传输协议设计[J].高电压技术,2022,148(5):1634-1643.YANG Fan, ZHU Li, DIAO Guanxun, et al. Design of RFID Sensor and Data Transmission Protocol for Digital Twin of Electrical Equipment[J]. High Voltage Engineering, 2022, 148(5):1634-1643.
- [29]姚艳,吴红斌,林达,等.配电网中储能系统的多维价值评估及应用[J].浙江电力,2022,41(12):36-45.YAO Yan, WU Hongbin, LIN Da, et al. Multi-dimensional value assessment and application of energy storage system in distribution networks[J]. Zhejiang Electric Power, 2022, 41(12):36-45.