Assessment of Noise and Measurement Error Impact on Voltage Sag Source Location Methods

Today, power quality is a crucial issue that greatly impacts distribution networks. Short-term and long-term power quality phenomena play a significant role in the overall performance of the network. Voltage sag, a type of short-term power quality issue, has higher occurrence rate compared to other power quality phenomena. The primary sources of voltage sag include transient symmetrical/asymmetrical faults, starting large motors, and transformer energizing. Although Numerous methods have been suggested for identifying the root cause of voltage sag incidents, the impact of noise and measurement error is often overlooked. In this paper, an assessment of the impact of noise and measurement error on voltage sag source localization methods is provided. Firstly, four of the most important methods proposed in this regard are described, and then the performance of each of them is examined with and without considering noise and potential measurement errors. Simulation conducted on the standard IEEE 33-bus network illustrate that methods utilizing a set of measurement data are robust to noise and measurement error. In contrast, methods using individual measurement data samples are vulnerable to noise and measurement error, leading to mistake conclusions.