Genetic algorithm in location identification of AEPD source: Some aspects

Author

Punekar, Gururaj S. ; Antony, Deepthy ; Bhavanishanker, T. ; Nagamani, H.N. ; Kishore, N.K.

Author_Institution

Dept. of Electr. & Electron. Eng., Nat. Inst. of Technol., Mangalore, India

fYear

2013

fDate

6-8 Dec. 2013

Firstpage

386

Lastpage

390

Abstract

Using the experimental data obtained from an Acoustic Emission Partial Discharge (AEPD) system, efforts are made to locate the source of Partial discharge (PD) with a transformer tank. The AEPD data with 8 sensors (available in the literature) is numerically experimented with a Genetic Algorithm, although minimum of 4 sensors only are necessary for identifying the location. With eight sensors, four sensors considered at a time, form 70 (⁸C₄) combination of sensors. The effect, implication and usage of superfluous sensor data in identifying the location with GA is analyzed and reported. Results are compared with Newton´s method.

Keywords

acoustic emission; condition monitoring; genetic algorithms; partial discharges; power transformer insulation; AEPD source; Newton method; acoustic emission partial discharge system; genetic algorithm; location identification; superfluous sensor data; transformer tank; Acoustics; Genetic algorithms; Partial discharges; Power transformers; Sensors; Sociology; Statistics; Acoustic Emission(AE); Genetic Algorithm(GA); Partial Discharge (PD) location; Population size; Sensor location;

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.2013.6737533

Filename

6737533