A Dependency Graph Approach for Fault Detection and Localization Towards Secure Smart Grid

He, Miao; Zhang, Junshan

doi:10.1109/tsg.2011.2129544

Cited by 138 publications

(78 citation statements)

References 21 publications

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“…calculated considering line " " as tripped should be minimum. If line " " ranks above line " " in the ranking done using and is below threshold value, then line " " will be wrongly considered as the tripped line: (13) As and both are below threshold and is same for both the cases (14)…”

Section: Impact Of Wrong Identification In Predicting Dynamic Behamentioning

confidence: 99%

“…Synchrophasors have been used in [13]- [23] to quickly identify the tripped line. The Markov dependency graph model was used to locate the fault, assuming the bus phasor angles are conditionally independent and further that synchrophasor measurements cover the entire network [13].…”

Section: Introductionmentioning

confidence: 99%

“…The Markov dependency graph model was used to locate the fault, assuming the bus phasor angles are conditionally independent and further that synchrophasor measurements cover the entire network [13]. Zhu and Giannakis used overcomplete representations to cast line outages as a sparse vector estimation problem that requires prior knowledge of system parameters [14].…”

Section: Introductionmentioning

confidence: 99%

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Online Identification of Tripped Line for Transient Stability Assessment

Bhui

Senroy

2016

IEEE Trans. Power Syst.

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Identification of post-fault topology is critical to not only cascaded outage prevention but also prediction of post-fault dynamic behavior. Existing methods for identifying the tripped lines rely on steady state SCADA/PMU measurements, and therefore fail to accomplish their task within fractions of a second. This limits their application to online transient stability assessment. This paper presents a method for online identification of post-fault topology on the basis of information of the pre-fault operating conditions and synchronized measurements at all generator buses. The proposed technique identifies the tripped line with negligible delay, before the system reaches steady state. An innovative index, which represents the normalized kinetic energy gained by generators immediately after the fault, is used to minimize the search set of possible tripped lines. For every candidate line, the generator output powers are calculated considering the line as tripped, and the minimum error between the measured and the calculated generator powers is used to finally identify the tripped line. The IEEE 39-bus system and a 246-bus North Indian Grid representation are used to show the effectiveness of the method.

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Section: Impact Of Wrong Identification In Predicting Dynamic Behamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Online Identification of Tripped Line for Transient Stability Assessment

Bhui

Senroy

2016

IEEE Trans. Power Syst.

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“…In this section, we formulate a Gaussian Markov random field (GMRF) model [24] for the system states, and describe the measurement models. …”

Section: System Modelmentioning

confidence: 99%

An Information-Theoretic Approach to PMU Placement in Electric Power Systems

Cui

Weng

et al. 2013

IEEE Trans. Smart Grid

124

102

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Abstract-This paper presents an information-theoretic approach to address the phasor measurement unit (PMU) placement problem in electric power systems. Different from the conventional 'topological observability' based approaches, this paper advocates a much more refined, information-theoretic criterion, namely the mutual information (MI) between PMU measurements and power system states. The proposed MI criterion not only includes observability as a special case, but also rigorously models the uncertainty reduction on power system states from PMU measurements. Thus, it can generate highly informative PMU configurations. The MI criterion can also facilitate robust PMU placement by explicitly modeling probabilistic PMU outages. We propose a greedy PMU placement algorithm, and show that it achieves an approximation ratio of for any PMU placement budget. We further show that the performance is the best that one can achieve, in the sense that it is NP-hard to achieve any approximation ratio beyond . Such performance guarantee makes the greedy algorithm very attractive in the practical scenario of multi-stage installations for utilities with limited budgets. Finally, simulation results demonstrate near-optimal performance of the proposed PMU placement algorithm.Index Terms-Electric power systems, greedy algorithm, mutual information, phasor measurement unit, submodular functions.

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“…Cyber security is of paramount importance in smart grid as communications are deeply involved in its operations [8], [9], [10], [11], [12], [13]. All the data transmitted in the grid must be authenticated and secured against malicious modification.…”

Section: Introductionmentioning

confidence: 99%

EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications

Liang²,

Xu³

et al. 2012

IEEE Trans. Parallel Distrib. Syst.

624

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Abstract-The concept of smart grid has emerged as a convergence of traditional power system engineering and information and communication technology. It is vital to the success of next generation of power grid, which is expected to be featuring reliable, efficient, flexible, clean, friendly and secure characteristics. In this paper, we propose an efficient and privacy-preserving aggregation scheme, named EPPA, for smart grid communications. EPPA uses a super-increasing sequence to structure multi-dimensional data and encrypt the structured data by the homomorphic Paillier cryptosystem technique. For data communications from user to smart grid operation center, data aggregation is performed directly on ciphertext at local gateways without decryption, and the aggregation result of the original data can be obtained at the operation center. EPPA also adopts the batch verification technique to reduce authentication cost. Through extensive analysis, we demonstrate that EPPA resists various security threats and preserve user privacy, and has significantly less computation and communication overhead than existing competing approaches.

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A Dependency Graph Approach for Fault Detection and Localization Towards Secure Smart Grid

Cited by 138 publications

References 21 publications

Online Identification of Tripped Line for Transient Stability Assessment

Online Identification of Tripped Line for Transient Stability Assessment

An Information-Theoretic Approach to PMU Placement in Electric Power Systems

EPPA: An Efficient and Privacy-Preserving Aggregation Scheme for Secure Smart Grid Communications

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