中国电机工程学报2024，Vol.44Issue(8)：3105-3114,中插14,11.DOI:10.13334/j.0258-8013.pcsee.223339
非侵入式综合能源系统源荷状态联合感知方法
Non-intrusive Source-load State Joint Sensing Method for Integrated Energy System
摘要
Abstract
The evaluation and analysis of the potential for coordinated operation and optimal regulation of multi-energy source and load in regional Integrated Energy System(IES)(such as community or building)is of great significance for the overall improvement of the energy utilization efficiency of the energy Internet and the promotion of large-scale development of renewable energy.However,in engineering practice,what is commonly available is coarse-grained aggregated data collected at the ports where the user's internal IES exchanges energy with external energy networks,according to which it is often difficult to accurately analyze the operational status and characteristics of user's IES,and cannot meet the ever-increasing demand for IES operation regulation and control.In this regard,for the community IES with electricity/gas/heat,this paper proposes a non-intrusive IES source-load state joint sensing method based on the coupled elimination criterion.It identifies the operating states of the main electricity/gas/heat devices in the community only by using the aggregated electricity/gas/heat operation data collected at the port of energy exchange between the community and external power/gas/heat energy network and meteorological data.In general,based on the coupling characteristics among the energy subsystems within IES,the operating status and(equivalent)power consumptions of the main devices in each subsystem are identified in a non-intrusive manner with the order of gas-electricity-heat,respectively.The experimental results based on the in-situ measured data show that the proposed method can jointly sense the operating status of main multi-energy source and load devices in a"non-intrusive"manner,and identify their(equivalent)power consumptions inside the community IES,which has strong engineering practicality and can provide the fine-grained big data source for the simulation analysis and operation decision of IES.关键词
非侵入式监测/综合能源系统/分布式电源/状态联合感知Key words
non-intrusive monitoring/integrated energy system/distributed energy resource/state joint sensing分类
能源科技引用本文复制引用
张睿祺,刘博,韦尊..非侵入式综合能源系统源荷状态联合感知方法[J].中国电机工程学报,2024,44(8):3105-3114,中插14,11.基金项目
国家重点研发计划项目(2020YFB0905900) （2020YFB0905900）
国家自然科学基金(青年科学基金项目)(52107120). National Key R&D Program of China(2020YFB0905900) （青年科学基金项目）
Project Supported by National Natural Science Foundation of China(Young Scientistic Program)(52107120). （Young Scientistic Program）
