PMU

An Alternating Direction Method of Multipliers Based Approach for PMU Data Recovery

This paper presents a novel algorithm for recovering missing phasor measurement unit (PMU) data. Due to the low-rank property of PMU data, missing measurement recovery can be formulated as a low-rank matrix-completion problem. Based on maximum-margin …

Online Coherence Identification Using Dynamic Time Warping for Controlled Islanding

Controlled islanding is considered to be the last countermeasure to prevent a system-wide blackout in case of cascading failures. It splits the system into self-sustained islands to maintain transient stability at the expense of possible loss of …

A Distributed Cooperative Control Framework for Synchronized Reconnection of a Multi-Bus Microgrid

One critical value microgrids brings to power systems is resilience, the capability of being able to island from the main grid under certain conditions and connect back when necessary. Once islanded, a microgrid must be synchronized to the main grid …

An Extended Kalman Filter Enhanced Hilbert-Huang Transform in Oscillation Detection

Hilbert-Huang transform (HHT) has drawn significant attention in power system analysis due to its capability to deal with dynamic signal and provide instantaneous characteristics such as frequency, damping, and amplitudes. However, its short-comings, …

Estimate the Lost Phasor Measurement Unit Data Using Alternating Direction Multipliers Method

This paper presents a novel algorithm for recovering missing data of phasor measurement units (PMUs). Due to the low-rank property of PMU data, missing measurement estimation can be formulated as a low-rank matrix-completion problem. Based on …

Forced Oscillation Source Location via Multivariate Time Series Classification

Precisely locating low-frequency oscillation sources is the prerequisite of suppressing sustained oscillation, which is an essential guarantee for the secure and stable operation of power grids. Using synchrophasor measurements, a machine learning …

Load Modeling and prediction

Load monitoring, modeling and forecasting.

IoT

Internet of Things and Edge Computing in power system stability.

Distributed Estimation of Oscillations in Power Systems: an Extended Kalman Filtering Approach

Online estimation of electromechanical oscillation parameters provides essential information to prevent system instability and blackout and helps to identify event categories and locations. We formulate the problem as a state space model and employ …

WAMS

Wide Area Monitoring.