Impact of tuning on bad data detection of PMU measurements

Abstract

Bad measurements are usually detected and identified by normalized measurement residual test through state estimators. This function relies on the accurate measurement weight assigned according to historical data. Since such information may not be available for new meters such as phasor measurement units (PMUs), a weight tuning algorithm for PMUs has been developed in a previous work. This paper investigates impact of the tuning algorithm on bad data detection of PMU measurements. It proposes a systematic method to improve the robustness of error detection and identification for PMU measurements. Simulations in IEEE 14-bus system are used to illustrate the benefits of suggested approach.