Topology identification in distribution network with limited measurements

Abstract

We consider here the problem of detecting changes in the status of switching devices, circuit breakers in particular, in distribution networks. The lack of measurements in distribution networks compared to transmission networks is the main challenge of this problem. Using expected values of power consumption, and their variance, we are able to quickly calculate the confidence level of identifying the correct topology, or the current status of switching devices, using any given configuration of real time measurements. This allows to compare between different configurations in order to select the optimal one. The main approach we propose relies on approximating the measurements as normal distributed random variables, and applying the maximum likelihood principle. We also discuss an alternative based on support vectors. Results are demonstrated using the IEEE 123 buses distribution test case.

A Mixed Integer Quadratic Programming Model for Topology Identification in Distribution Network

“…Traditional topology identification methods require redundant real-time measurements, which is difficult to achieve in distribution networks. There are few studies on topology identification in distribution network [1], [2]. Based on the works in [3] and [4], an MIQP based topology identification method is proposed, which works well with limited real-time measurements and pseudo-measurements data.…”

Topology identification in smart grid with limited measurements via convex optimization

“…Unfortunately, it is said that in particular the distribution networks today may still have only few measurements at the substation. On the other hand, the number of circuit breakers is typically larger than the available measurements [3].…”

Topological analysis of unbalanced distribution networks with single‐phase switching equipment and temporary elements

“…Algorithms that use phasor measurement units are not sufficiently reliable for monitoring of topological changes (specifically, they cannot guarantee 100% accuracy, as reported in Cavraro et al and Sharon et al) due to the low percentage of the telemetered measurement units in distribution networks.…”