Unified identification of power and gas faults for integrated electricity and natural gas energy system

Abstract

Regardless of the failure in the power system or in the natural gas system, it will threaten the operation of the integrated electricity and gas energy systems. In view of the lack of current research on the unified identification of the fault in the integrated system, a fault identification and location method based on big data analysis is proposed in this paper. Firstly, the dynamic model of the natural gas pipeline is established, and then the typical characteristics of the integrated system collected by the intelligent terminal are extracted, and the heterogeneous characteristics are merged into the high-dimensional matrix in space and time. The matrix is analyzed by multi-dimensional analysis and local outlier factor. Finally, the fault identification and location in the integrated electricity and gas energy systems are carried out according to the LOF value and the node correlation. A generalized node is also set up to prevent misoperation caused by intelligent equipment faults. The effectiveness of the proposed method is verified by using Simulink model.