Power quality event detection using Adaline

Vast spread of sensitive loads in power systems results in increasing susceptibility to power quality problems, which makes fast detection and classification algorithms a necessity. A new approach for power quality event detection is presented in this paper. This approach utilizes linear adaptive neuron, which is called Adaline. Unlike the previously proposed detection methods, which are based on wavelet analysis that encounter mathematical calculations burden, Adaline is fast due to its simple construction, which makes it more suitable for on-line applications.