Detection of bad data in phasor measurement units using distributed approach

Abstract

The chances for presence of bad data in Phasor measurement units are increasing due to complicated power system. Thus the voltage magnitude and phase angle obtained from PMU is no longer accurate. Hence it is important to detect the presence of bad data and identify the PMU which contains the error. In order to implement bad data detection and identification, state estimation is carried out to obtain the true state variables using weighted least square method. In this paper a distributed approach is chosen for identification of bad data. The system network is divided into different areas and the technique is applied to each area separately. The area and the meter which contains error is identified through this method. The system works in MATLAB platform.