A unified strategy for real-time event detection for enhanced power system protection through robust situational awareness

Abstract

Real-time data collection, analysis to improve situational awareness, and post-event assessment and control are critical for supporting a functional power system. The Phasor Measurement Units (PMUs) estimates the synchronized wide area measurements, which are then used to ascertain an event’s signature. This paper proposes an efficient placement strategy for phasor measurement units (PMUs) across the power grid. The developed PMU placement framework is an Integer Linear Programming (ILP) based method such that, the system can be observed even in the wake of severe and credible severities. The generated synchronized data is then utilized to design an Innovative Event Detector (IED). The developed IED enhances the situational awareness and hence provide critical information to the operator for protecting power system infrastructure against severe and credible contingencies. The innovative Event Signature (ES), which employs synchronized frequency measurements, is incorporated into the IED to identify a system response to an event. The trained classifier model then assesses the event’s occurrence in real time by using the ES as features. The developed comprehensive approach can provide support the protection schemes in the power system by providing accurate and timely information of unstable operation scenarios. The standard IEEE 39 Bus test power system and relatively larger, IEEE 118 Bus test system are utilized to test the efficiency of the proposed integrated approach.