Abstract
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 the distributions corresponding to different fault location hypotheses 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. 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.
Original language | English (US) |
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Journal | IEEE Journal on Selected Areas in Communications |
DOIs | |
State | Accepted/In press - Jan 1 2019 |
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Keywords
- Cluster Detection
- Cyber-Physical Security
- Fault Location
- Identification
- Intrusion Detection
- Optimal PMU Placement
- Phasor Measurement Units
ASJC Scopus subject areas
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization. / Jamei, Mahdi; Ramakrishna, Raksha; Tesfay, Teklemariam; Gentz, Reinhard; Roberts, Ciaran; Scaglione, Anna; Peisert, Sean.
In: IEEE Journal on Selected Areas in Communications, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization
AU - Jamei, Mahdi
AU - Ramakrishna, Raksha
AU - Tesfay, Teklemariam
AU - Gentz, Reinhard
AU - Roberts, Ciaran
AU - Scaglione, Anna
AU - Peisert, Sean
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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 the distributions corresponding to different fault location hypotheses 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. 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.
AB - 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 the distributions corresponding to different fault location hypotheses 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. 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.
KW - Cluster Detection
KW - Cyber-Physical Security
KW - Fault Location
KW - Identification
KW - Intrusion Detection
KW - Optimal PMU Placement
KW - Phasor Measurement Units
UR - http://www.scopus.com/inward/record.url?scp=85074818673&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074818673&partnerID=8YFLogxK
U2 - 10.1109/JSAC.2019.2951971
DO - 10.1109/JSAC.2019.2951971
M3 - Article
AN - SCOPUS:85074818673
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
SN - 0733-8716
ER -