Title :
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
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);
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
DOI :
10.1109/CATCON.2013.6737538
