Auxiliary Decision Method for Power Grid Fault Diagnosis Based on D-S Evidence Theory
This paper analyzes the development trend of smart grid fault diagnosis and expands the use of fault data from the different systems.The current waveforms,node voltage phase angles and protection switch data are processed by means of wavelet analysis,pattern matching and Petri nets,obtaining the primitive fault decision with different trust degree.The D-S evidence theory is applied to infuse the primitive decision from different systems,obtaining an assistant decision result to support the final fault diagnosis.The validity of the proposed method is illustrated with two cases,providing a train of thought for the future senior decision-making in smart grid.
NETL
NSTL
万方数据
维普
