Operational Resiliency Enhancement Using Synchrophasor Measurement

Abstract

The recent occurrences of various high-impact events have caused disruption of power to the consumers. The grid in such cases must spring back from unstable to stable conditions and must be resilient. Conventionally, grid hardening is used for the purpose of enhancement of resiliency, but such approach is expensive. The phasor measurement units (PMUs) have the ability to provide with real-time data both during normal conditions as well as disruptive events. The measured data can be used to take proactive action against the disruption to improve grid operation. Since the volume of synchrophasor data is very high, principal component analysis (PCA)-based data reduction has been used to identify the critical set of generators for a IEEE-39 bus test system. The governor as well as bypass operations of steam turbines are controlled based on inferences derived from the dynamic state of critical generators, so as to enhance the operational resiliency.