Abstract
Abstract This paper presents a method for the study of the influence of stability of a power transformer on the power system based on the vibration principle. Traditionally, the EMD and EEMD algorithms are employed to test the box vibration signal data of the power transformer under three working conditions. The proposed method utilizes a partial EMD screening along with MPEEMD method for the online monitoring of power transformer. A complete online monitoring system is designed by using the STM32 processor and LabVIEW system. The proposed system is compared with EMD and EEMD algorithms in terms of the number of IMFs obtained by decomposition, maximum correlation coefficient, and mean square error. The inherent mode correlation, when compared with the mean square error of the reconstructed signal, shows that the reconstruction error of MPEEMD algorithm is 4.762×10−15 which is better than the traditional EMD algorithm. It is observed from the results that the proposed method outperforms both EMD and EEMD algorithms.
Highlights
IntroductionThe average annual growth of electric power demand in China can reach 10% in the few years
According to statistics, the average annual growth of electric power demand in China can reach 10% in the few years
To solve the problems mentioned above this paper proposes improved multiscale permutation entropy ensemble average empirical mode decomposition (MPEEMD).To reduce the reconstruction error of the original signal s(T), a pair of opposite sign white noises and (−ni), are added to the target signal s(T), where Ni(T) is the added white noise signal; ai is the amplitude of the white noise signal; I = 1,2, . . . , NE is the logarithm of the white noise added
Summary
The average annual growth of electric power demand in China can reach 10% in the few years. It is necessary to carry out comprehensive real-time monitoring on all parts of the power grid system to timely investigate potential safety hazards, prevent failures, and ensure the safe and stable operation of the power grid. The power transformer is one of the most crucial equipment in the whole power network and the critical factor to ensure the safe operation of the power system. Its regular operation will directly affect the stability of the power grid system [1]. As the transformer functions continuously over long periods, the occurrence of faults and accidents is inevitable. When the transformer accident occurs, it will inevitably lead to power grid failure. When the fault is severe, it may affect a large-area with prolonged power failure, paralyzing traffic, interrupting communication, causing other inconvenience to people and shutdown of various industrial units
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