Abstract
In this paper, real time dynamic information of complicated electrical engineering provided by phasor measurement units to analyze and locate the fault is utilized. Based on fuzzy cluster analysis theory and the principle of minimum expected cost of misclassification, we have explored a comprehensive detection and isolation system of fault in complicated electrical engineering. It has been proved by a large number of simulation experiments that the comprehensive fault detection and isolation system can accurately and reliably detect and isolate faults and provide guarantee for the safety and stable operation of electrical power and energy system. DOI: http://dx.doi.org/10.5755/j01.eee.19.9.5646
Highlights
The safe and stable operation of electric power system is of great importance to the national economy and people’s livelihood, and it is the goal pursued by electrical scientists
According to different kinds of short circuit faults, we have carried through large numbers of simulation experiments, and the results have demonstrated that the comprehensive fault detection and isolation system in this paper is successful
One utilizes real time dynamic information of complicated electrical engineering provided by PMU to analyse and locate fault
Summary
The safe and stable operation of electric power system is of great importance to the national economy and people’s livelihood, and it is the goal pursued by electrical scientists. The main protection based on two-terminal electrical measurements, represented by fiber differential, has got to be mature and perfect [1]. It fails to be the effective backup of the adjacent electric element while ensuring the absolute selectivity. In the practice of electrical engineering, it is possible for the main protection to be invalid due to the disappearance of DC power supply. We will explore a comprehensive detection and isolation scheme of fault in complicated electrical engineering. This work was supported partly by the National Key Basic Research Project (973 Program) of China (2012CB215200), the NSFC (50837002, 51277193), the Specialized Research Fund for the Doctoral Program of Higher Education (20110036110003) and the Fundamental Research Funds for the Central Universities (11MG37, 12MS120)
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