Title :
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
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);
Conference_Titel :
Industrial Electronics, Control & Robotics (IECR), 2010 International Conference on
Conference_Location :
Orissa
Print_ISBN :
978-1-4244-8544-4
DOI :
10.1109/IECR.2010.5720130
