TY - GEN
T1 - Disaster-Resilient PMU Network Design
AU - Edib, Shamsun Nahar
AU - Lin, Yuzhang
AU - Vokkarane, Vinod
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The ability of phasor measurement units (PMUs) to precisely measure time-synchronized voltage and current phasors has made them a vital component of power grid monitoring systems. In a PMU-measured power grid, the measurement data is transferred via a communication network to the data monitoring station known as the phasor data concentrator (PDC) for data analysis. The PMU measurement-based applications depend on the observability of the power grid which relies on the availability of the PMU network (PMUs and their corresponding CNs). Multiple component (PMU and communication link) failure is a potential threat during high-impact events such as natural disasters or major cyber attacks, which could result in partial observability (in the worst case full unobservability) of the grid. Since it is not possible to maintain full grid observability during disasters when multiple components fail simultaneously, this paper proposes an observability-risk- aware resilient PMU network (ORARN) design framework that maximizes the expectation of the observability of the power grid buses. The proposed framework provides a disaster-resilient PMU network design that considers the probabilities of failures of the PMUs and the communication links and is constrained by a fixed total budget. Numerical studies are conducted on the IEEE 57-bus system to demonstrate the effectiveness of the proposed ORARN framework. The results obtained in the paper prove the effectiveness of the ORARN framework since it achieves a statistically higher power grid observability level under high-impact disasters when compared to an observability- risk-unaware baseline method.
AB - The ability of phasor measurement units (PMUs) to precisely measure time-synchronized voltage and current phasors has made them a vital component of power grid monitoring systems. In a PMU-measured power grid, the measurement data is transferred via a communication network to the data monitoring station known as the phasor data concentrator (PDC) for data analysis. The PMU measurement-based applications depend on the observability of the power grid which relies on the availability of the PMU network (PMUs and their corresponding CNs). Multiple component (PMU and communication link) failure is a potential threat during high-impact events such as natural disasters or major cyber attacks, which could result in partial observability (in the worst case full unobservability) of the grid. Since it is not possible to maintain full grid observability during disasters when multiple components fail simultaneously, this paper proposes an observability-risk- aware resilient PMU network (ORARN) design framework that maximizes the expectation of the observability of the power grid buses. The proposed framework provides a disaster-resilient PMU network design that considers the probabilities of failures of the PMUs and the communication links and is constrained by a fixed total budget. Numerical studies are conducted on the IEEE 57-bus system to demonstrate the effectiveness of the proposed ORARN framework. The results obtained in the paper prove the effectiveness of the ORARN framework since it achieves a statistically higher power grid observability level under high-impact disasters when compared to an observability- risk-unaware baseline method.
KW - communication network
KW - observability analysis
KW - phasor measurement unit (PMU)
KW - probabilistic observability
KW - resiliency
KW - wide-area measurement system (WAMS)
UR - http://www.scopus.com/inward/record.url?scp=85178271801&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178271801&partnerID=8YFLogxK
U2 - 10.1109/ICC45041.2023.10279292
DO - 10.1109/ICC45041.2023.10279292
M3 - Conference contribution
AN - SCOPUS:85178271801
T3 - IEEE International Conference on Communications
SP - 4106
EP - 4112
BT - ICC 2023 - IEEE International Conference on Communications
A2 - Zorzi, Michele
A2 - Tao, Meixia
A2 - Saad, Walid
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Communications, ICC 2023
Y2 - 28 May 2023 through 1 June 2023
ER -