区域(如园区或楼宇)综合能源系统(integrated energy system,IES)的多能流源荷协调运行与优化调控潜力评估分析对整体提升能源互联网的能源利用效率、促进可再生能源规模化发展具有重要意义.然而在实际工程中,普遍可获取的是用户 IES 与外部能源网络进行能量交换的端口处采集的粗粒度总量运行数据,据此往往难以对用户IES运行状态和特性进行准确分析,无法满足不断提高的IES运行调控需求.对此,以园区电/气/热IES为研究对象,提出基于耦合消元准则的IES非侵入式源荷设备状态联合感知方法,它仅利用在园区与外部电/气/热能源网络进行能量交换的端口处采集到的总量电/气/热运行数据及气象数据,辨识园区内部主要源荷设备的运行状态.总体上,基于IES内部各能源子系统间的耦合特性,按照气-电-热的顺序分别对每个子系统中主体设备的工作状态和(等效)运行功率进行非侵入式辨识.基于实测数据的实验结果表明,所提方法能够以"非侵入"的方式联合感知多能源荷设备的运行状态,精细化辨识园区IES内部主体设备的(等效)功率,具有较强的工程实用性,可为IES的仿真分析和运行决策提供细粒度大数据源.
Non-intrusive Source-load State Joint Sensing Method for Integrated Energy System
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.
non-intrusive monitoringintegrated energy systemdistributed energy resourcestate joint sensing
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