Detecting Winding Movement by Fuzzy Logic for Frequency Response of Power Transformer

Abstract

Power transformers are basically one of the most efficient devices that are used in Power Plant or in any substation. Its maintenance is bit some tedious but has to be done to diagnose any severe fault that may damage the transformer. Sweep Frequency Response Analysis (SFRA) is used to detect any winding or core deformation in transformer that would arise during transportation, due to severe short circuits or due to ageing. In this paper interpretation of the signatures of SFRA is done for different case studies using different statistical tools like Cross correlation coefficient(CCF) Root Square Error(RSQ),Comparative Standard Deviation(CSD) and then based on these parameters a fuzzy model have been developed for diagnosis of fault and limit is created for different fuzzy output in different sub-frequency range. Then based on the output variation of different statistical parameters and fuzzy output vs. frequency is drawn for determining the state of transformer.

Keywords: Comparative Standard Deviation (CSD), Cross Correlation coefficient (CCF), Root Square Error (RSQ), Fuzzy controller, Sweep Frequency Response Analysis (SFRA)

Cite this Article

Srivastava R, Singh SK, Sood YR. Detecting Winding Movement by Fuzzy Logic for Frequency Response of Power Transformer. Journal of Power Electronics and Power Systems. 2015; 5(3): 25–34p.