Fast fault location in power transmission networks using transient signatures from sparsely-placed synchrophasors

Valdez, Justin Joseph; Zhang, Xun; Torres, Jackeline Abad; Roy, Sandip

doi:10.1109/naps.2014.6965412

Cited by 10 publications

(4 citation statements)

References 22 publications

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“…We envision, particularly, pursuing application in monitoring faults in the electric power grid [25] and in determining communication failures in WSNs. Several challenges arise in realizing this goal, e.g.…”

Section: Discussionmentioning

confidence: 99%

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Detecting link failures in complex network processes using remote monitoring

Dhal¹,

Torres

Roy

2015

Physica A: Statistical Mechanics and its Applications

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h i g h l i g h t s• We study detection of network changes from remote noisy time-series measurements.• A Maximum A-Posteriori Probability hypothesis testing scheme is employed.• Relationships between the network topology and MAP detector performance are developed. • Detector performance depends on presence of certain paths in the network. • Simulations demonstrate the analytical results developed. a b s t r a c tWe study whether local structural changes in a complex network can be distinguished from passive remote time-course measurements of the network's dynamics. Specifically the detection of link failures in a network synchronization process from noisy measurements at a single network component is considered. By phrasing the detection task as a Maximum A Posteriori Probability hypothesis testing problem, we are able to obtain conditions under which the detection is (1) improved over the a priori and (2) asymptotically perfect, in terms of the network spectrum and graph. We find that, in the case where the detector has knowledge of the network's state, perfect detection is possible under general connectivity conditions regardless of the measurement location. When the detector does not have state knowledge, a remote signature permits improved but not perfect detection, under the same connectivity conditions. At its essence, detectability is achieved because of the close connection between a network's topology, its eigenvalues and local response characteristics.

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Section: Discussionmentioning

confidence: 99%

“…In a recent study, we have address line failure detection in the electric power network from phasor measurement unit data in this way, see Ref. [25].…”

Section: Observation Modelmentioning

confidence: 99%

Detecting link failures in complex network processes using remote monitoring

Dhal¹,

Torres

Roy

2015

Physica A: Statistical Mechanics and its Applications

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“…This implements the mode probability distribution defined in (8). Figure 7 shows an example of the fault diagnosis results for the aggregated discrete-state as defined in Fig.…”

Section: Fault Diagnosis Based On Pmu Input Samples and Electric Netwmentioning

confidence: 99%

“…The work presented in this paper does not require measurements at both ends of a transmission line. Although different fault diagnosis methods are proposed recently [8,9], the dynamics of the electrical transmission network has not been considered. This paper involves the electric network dynamics to promptly identify fault modes and protection misoperations.…”

Section: Introductionmentioning

confidence: 99%

Secondary protective control for mitigation of protection misoperations in electric power systems

Qin

2016

J. Mod. Power Syst. Clean Energy

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This paper investigates the feasibility of a selective secondary protective control strategy proposed to maximize the likelihood of recovery from misoperations of the existing (primary) protection in a power system. A scalable stochastic discrete-state model is established, taking into consideration of the processes of protection misoperations and their mitigations. Such misoperations have been a main culprit of cascading failures in modern power systems. The likelihood of recovery from protection misoperations is quantified by a set of security indices that formally incorporate the uncertain knowledge of the continuous-state of rotor angles/speed deviations of synchronous generators and that of the discretestate of equipment faults and primary protection misoperations. The proposed secondary protection leverages on the ever more available time-synchronized samples of networked sensors for diagnosis and fault-tolerant control to cost effectively improving power system reliability without altering the existing protection system. The technology readiness for implementing the secondary protective control is examined through a three-area test system.

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Fault location in the distribution network based on scattered measurement in the network

Dashtdar

2021

Energy Syst

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Fast fault location in power transmission networks using transient signatures from sparsely-placed synchrophasors

Cited by 10 publications

References 22 publications

Detecting link failures in complex network processes using remote monitoring

Detecting link failures in complex network processes using remote monitoring

Secondary protective control for mitigation of protection misoperations in electric power systems

Fault location in the distribution network based on scattered measurement in the network

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