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

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.