Smart grid is a large complex network with a myriad of vulnerabilities, usually operated in
adversarial settings and regulated based on estimated system states. In this study, we …

Modern power sector requires grid observability under all scenarios for its ideal functioning.
This enforces the operator to incorporate state estimation solutions based on a priori …

The recent trend in modern power sector is to maintain observability of the grid for its smooth
operation under all circumstances. To ascertain this aforementioned criterion, grid operators …

As the electricity demand continues to grow and renewable energy resources are
incorporated into the grid, an effective dynamic state estimation is required for monitoring …

Power systems state estimation process can be improved by considering state and
measurement forecasts. These state and measurement forecasts are obtained using the …

Purpose The purpose of this paper is to propose an extended Kalman particle filter (EPF)
approach for dynamic state estimation of synchronous machine using the phasor …

Dynamic state estimation is the starting point for the further control and and protection
strategies implementation for a secure electric grid. This basically provides the real-time …

Detection and analysis of bad data is one of the most important sector of static state
estimation. This paper focuses on the comparison between a novel method for multi bad …

Phasor measurement unit (PMU) technologies provide new opportunities for state
estimation, even an opportunity to replace SCADA-based state estimators. This paper …

State estimation becomes an indefensible tool for monitoring the power system. Phasor
measurement units (PMUs) are being deployed into the power system in a phased manner …