A hybrid Adaline and Bacterial Foraging approach to power system harmonics estimation

Author

Subudhi, B. ; Ray, P.K.

Author_Institution

Dept. of Electr. Eng., NIT Rourkela, Rourkela, India

fYear

2010

fDate

27-29 Dec. 2010

Firstpage

236

Lastpage

242

Abstract

Harmonics estimation for a signal distorted with additive noise is an interdisciplinary area of interest for many researchers. This paper presents Bacterial Foraging Optimization (BFO) for estimating the fundamental as well as harmonic components present in power system voltage waveforms. The basic foraging strategy is made more adaptive by updating the weights of Adaptive Linear Neural Networks (Adaline) on taking the initial weighs as output of BFO. Performance of this new algorithm is compared with that of existing BFO.

Keywords

AWGN channels; neural nets; power system harmonics; adaptive linear neural networks; additive noise; bacterial foraging approach; hybrid adaline; interdisciplinary area; power system harmonics estimation; Estimation; Hybrid power systems; Industrial electronics; Microorganisms; Power system harmonics; Service robots; Adaptive Linear Neural Networks (Adaline); Bacterial Foraging Optimization (BFO); Discrete Fourier Transform (DFT); Fast Fourier Transform (FFT); Harmonic Estimation; Least Square (LS);

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, Control & Robotics (IECR), 2010 International Conference on

Conference_Location

Orissa

Print_ISBN

978-1-4244-8544-4

Type

conf

DOI

10.1109/IECR.2010.5720130

Filename

5720130