Computational intelligence algorithm based condition monitoring system for power transformer

Author

Ballal, Makarand S. ; Suryawanshi, H.M. ; Ballal, Deepali Makarand ; Choudhari, Bhupesh Nemichand

Author_Institution

Dept. of Electr. Eng., Visvesvaraya Nat. Inst. of Technol., Nagpur, India

fYear

2013

fDate

6-8 Dec. 2013

Firstpage

154

Lastpage

159

Abstract

This paper presents Computational Intelligence Algorithm (CIA) based Condition Monitoring System (CMS) for Power Transformer. The online as well as offline data is used for making the decision. The mechanism is developed for real time application using the analogue to digital interfacing system for data transmission. Performance is tested for 132/33 kV, 25 MVA Power Transformer connected in power system and its results are found satisfactory.

Keywords

condition monitoring; power engineering computing; power transformers; CIA-based CMS; analogue-to-digital interfacing system; apparent power 25 MVA; computational intelligence algorithm; condition monitoring system; data transmission; power system; power transformer; real-time application; voltage 132 kV; voltage 33 kV; Condition monitoring; Monitoring; Oil insulation; Power transformer insulation; Temperature measurement; Computational Intelligence Algorithm (CIA); Condition Monitoring System (CMS); Normal Operating Region (NOR) and Abnormal Operating Region (AOR);

fLanguage

English

Publisher

ieee

Conference_Titel

Condition Assessment Techniques in Electrical Systems (CATCON), 2013 IEEE 1st International Conference on

Conference_Location

Kolkata

Print_ISBN

978-1-4799-0081-7

Type

conf

DOI

10.1109/CATCON.2013.6737538

Filename

6737538