A Uniform Fault Identification and Location Method of Integrated Energy System
With the development of energy coupling devices such as combined cooling/heating and power (CCHP), gas turbines and electricgas transfer device, various energy subsystems are closely coupled into an integrated energy system (IES). Whether it is a power system, a natural gas system or a heating system, a failure in any of them will threaten the safe and reliable operation of the entire IES. Given the lack of unified identification and location of IES faults in existing research, this paper presents a method of unified identification and location of faults using big data analysis. First, the energy hub is used as an energy coupling element, and the dynamic system of natural gas and the model of the regional heating system are established. Combining the analysis of the interaction of other subsystems with other energy systems, the typical features of energy subsystems collected by intelligent terminals are extracted, and the heterogeneous features are spatially and temporally merged into a high dimensional spacetime state detection matrix. The matrix is nonlinearly dimensioned using the Isomap algorithm, and the IES fault identification and location
is performed based on the value of the local sparsity coefficient (LSC) value and the node association. The proposed method is validated by the case study.
Библиографическая ссылка
Junjie Zhong, Yong Li, Yijia Cao, Sidorov D.N., Panasetsky D.A. A Uniform Fault Identification and Location Method of Integrated Energy System // Energy Systems Research. Vol.1. No.3. 2018. P.14-24. DOI: 10.25729/esr.2018.03.0002
