Event detection and localization in distribution grids with phasor measurement units

Abstract

Abstract-The recent introduction of synchrophasor technology into power distribution systems has given impetus to various monitoring, diagnostic, and control applications, such as system identification and event detection, which are crucial for restoring service, preventing outages, and managing equipment health. Drawing on the existing framework for inferring topology and admittances of a power network from voltage and current phasor measurements, this paper proposes an online algorithm for event detection and localization in unbalanced three-phase distribution systems. Using a convex relaxation and a matrix partitioning technique, the proposed algorithm is capable of identifying topology changes and attributing them to specific categories of events. The performance of this algorithm is evaluated on a standard test distribution feeder with synthesized loads, and it is shown that a tripped line can be detected and localized in an accurate and timely fashion, highlighting its potential for realworld applications.

On Identification of Distribution Grids

“…Furthermore, we put forward an online algorithm for early detection and localization of critical events that change the admittance matrix. This paper extends our prior work [16] in three main ways. First, we propose the use of the adaptive lasso penalty to estimate large elements of the admittance matrix, attenuating the bias problem.…”

Invisible Units Detection and Estimation Based on Random Matrix Theory

“…To enhance the visibility of the network, distribution utilities have begun deploying data collectors such as phasor measurement units (PMUs) [6]. High resolution voltage and current measurements can be used in a plethora of applications for monitoring, diagnostic, and control purposes, such as state estimation, customer profiling, and anomaly detection [7].…”

Low-Resolution Fault Localization Using Phasor Measurement Units with Community Detection

“…Phasor Measurement Units' (PMU) data have the ability to provide much more accurate event detection capabilities, even with relatively few measurements. Ardekanian et al, [1], for example, use PMU data to detect and localize a change in the admittance matrix of a distribution network. Zhou et al, [2] empoly PMUs to detect events in the distribution grid when only partial information is available.…”

“…Our previous work [3] proposes a hierarchical architecture for event detection in distribution system using PMU data when only very few sensors are available. Except for Ardekanian et al's work [1], the literature on event detection is often in a low measurements regime, that arises when the number of measurements is very small compared to system size, so the system is unobservable.…”