An Uncertainty Model Approach for Detection Of Power Quality Disturbances

Abstract

Now a days, the analysis and detection of various power quality disturbances are widely required due to increasing use of sensitive control in most of the devices at all consumer levels. The various power quality disturbances that occur in distribution and transmission systems are voltage sag, voltage swell, harmonics, interruption, transients, spikes, notch etc. these disturbances can occur due to switching off large loads, use of solid state switching device, arc furnaces, transformer energization, capacitor switching, lightning strikes and use of electronically switched loads such as rectifiers or invertors. Poor power quality can cause malfunctioning of protective relays, can affect the accuracy of utility metering, loss of data and can result in equipment damage resulting in a loss of productivity. In order to improve power quality, these disturbances need to be identified before taking appropriate mitigating action. In this paper we have created the power quality disturbances using uncertainty model approach in MATLAB/SIMULINK. Then the detection of disturbances is one using RMS method.