Fault Location in Distribution Networks Through Graph Marking

Džafić, Izudin; Jabr, Rabih A.; Henselmeyer, S.; Donlagic, Tarik

doi:10.1109/tsg.2016.2587583

Cited by 61 publications

(16 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Lee [10] uses PMU voltage data to search for a fault in a radial network in a timely manner. Dzafic et al, [11] take a graph marking approach to spot the location of a fault. In [12], a Gaussian Markov random field (GMRF) is defined for phasor angles along with a fault detection algorithm and subsequently a decentralized approach is used for fault localization.…”

Section: A Backgroundmentioning

confidence: 99%

Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization

Jamei¹,

Ramakrishna

Tesfay

et al. 2020

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

In this paper, the performance limits of faults localization are investigated using synchrophasor data. The focus is on a non-trivial operating regime where the number of Phasor Measurement Unit (PMU) sensors available is insufficient to have full observability of the grid state. Proposed analysis uses the Kullback Leibler (KL) divergence between different fault location hypotheses, which are associated with the observation model. This analysis shows that the most likely locations are concentrated in clusters of buses more tightly connected to the actual fault site akin to graph communities. Consequently, a PMU placement strategy is derived that achieves a near-optimal resolution for localizing faults for a given number of sensors. The problem is also analyzed from the perspective of sampling a graph signal, and how the placement of the PMUs i.e. the spatial sampling pattern and the topological characteristic of the grid affect the ability to successfully localize faults is studied. To highlight the superior performance of presented fault localization and placement algorithms, the proposed strategy is applied to a modified IEEE 34, IEEE-123 bus test cases and to data from a real distribution grid. Additionally, the detection of cyberphysical attacks is also examined where PMU data and relevant Supervisory Control and Data Acquisition (SCADA) network traffic information are compared to determine if a network breach has affected the integrity of the system information and/or operations [2].

show abstract

Section: A Backgroundmentioning

confidence: 99%

Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization

Jamei¹,

Ramakrishna

Tesfay

et al. 2020

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

show abstract

“…Lee [6] uses synchronized voltage phasor measurements to search for a fault in a radial network in a timely manner. Dzafic et al, [7] propose a graph marking approach to spot the location of a fault. There are a number of non-parametric methods that exploit spatio-temporal patterns, as well.…”

Section: Introductionmentioning

confidence: 99%

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

Jamei

Scaglione

Peisert

2018

2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

View full text Add to dashboard Cite

A significant portion of the literature on fault localization assumes (more or less explicitly) that there are sufficient reliable measurements to guarantee that the system is observable. While several heuristics exist to break the observability barrier, they mostly rely on recognizing spatio-temporal patterns, without giving insights on how the performance are tied with the system features and the sensor deployment. In this paper, we try to fill this gap and investigate the limitations and performance limits of fault localization using Phasor Measurement Units (PMUs), in the low measurements regime, i.e., when the system is unobservable with the measurements available. Our main contribution is to show how one can leverage the scarce measurements to localize different type of distribution line faults (three-phase, single-phase to ground, ...) at the level of sub-graph, rather than with the resolution of a line. We show that the resolution we obtain is strongly tied with the graph clustering notion in network science.

show abstract

“…A new solution for the phase and earth fault directional detection used in fault passage indicators was represented in [10]. Many publications have also focused on the issues of optimal number and location of FCIs [11][12][13][14][15][16] to improve service reliability and/or reduce customer interruption cost. An automatic and fast faulted line section location method for distribution systems with distributed generators based on FCIs was proposed in [17].…”

Section: Introductionmentioning

confidence: 99%

Systematic Effectiveness Assessment Methodology for Fault Current Indicators Deployed in Distribution Systems

et al. 2018

View full text Add to dashboard Cite

Fault Current Indicators (FCIs) with communication interfaces have been widely used in distribution systems to reduce fault-finding time. The effectiveness of a Fault Management System (FMS) composed of FCIs greatly depends on the performance of the communication network deployed by the FCIs and the failure rates of distribution systems. The conventional techniques only focus on the issues of optimal number and location of FCIs or communication network deployment individually; therefore, the effectiveness of an FMS cannot be assessed realistically. A systematic effectiveness assessment methodology for FMS considering the performance of the communication network deployed by the FCIs and the failure rates of distribution systems is vital and is investigated in this paper. A communication evaluation platform is designed in this paper and used to acquire the field measurements of communication parameters. The communication parameters, especially the Packet Success Rate (PSR), between two adjacent FCIs are measured, and the Probability Density Function (PDF) of the PSR can be built accordingly. The effectiveness of the FMS is then assessed by stochastic analysis considering the failure rates of the distribution system and PSR PDFs between two adjacent FCIs. Due to the characteristics of easy installation, maintenance, longer battery life, lower cost, and so on of ZigBee, the ZigBee-based FCI is mainly discussed in this paper. In order to efficiently find the communication route when a fault occurs, a fast communication route tracking method is also proposed in this paper and its feasibility is demonstrated in an actual distribution system. Experimental and simulation results demonstrate the validity of the proposed systematic effectiveness assessment methodology for an FMS composed of FCIs. The proposed assessment methodology can more realistically react to the actual conditions of the FMS and therefore save on installation time and costs.

show abstract

Fault Location in Distribution Networks Through Graph Marking

Cited by 61 publications

References 24 publications

Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization

Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization

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

Systematic Effectiveness Assessment Methodology for Fault Current Indicators Deployed in Distribution Systems

Contact Info

Product

Resources

About