Impact of the errors in the PMU response on synchrophasor-based fault location algorithms

Bečejac, Tamara; Dehghanian, Payman; Kezunovic, Mladen

doi:10.1109/naps.2016.7747946

Cited by 10 publications

(4 citation statements)

References 33 publications

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“…When false meter data is injected through a cyber attack, the EMS or DMS functions at the control center will be misled by the state estimators which may potentially make erroneous decisions on contin- gency analysis, power dispatch, and even billing actions [14]. The smart grid offers synchrophasor-based cyber security, which entails a CPS system that provides real-time data to the EMS in order to manage (monitor and control) the physical network [58]- [61]. However, the latest synchrophasor devices, e.g., phasor measurement units (PMUs), as well as digital fault records (DFRs) and protective relays with PMU functionality are susceptible to a wide range of errors [53], [60] including cyber attacks; this is even further challenging considering the fact that such equipment are intertwined with a large number of legacy devices that have little or no protection against cyber attacks [62].…”

Section: B Impacts Of Cyber Attacks On Power Gridmentioning

confidence: 99%

Electric Power Grid Resilience to Cyber Adversaries: State of the Art

et al. 2020

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The smart electricity grids have been evolving to a more complex cyber-physical ecosystem of infrastructures with integrated communication networks, new carbon-free sources of power generation, advanced monitoring and control systems, and a myriad of emerging modern physical hardware technologies. With the unprecedented complexity and heterogeneity in dynamic smart grid networks comes additional vulnerability to emerging threats such as cyber attacks. Rapid development and deployment of advanced network monitoring and communication systems on one hand, and the growing interdependence of the electric power grids to a multitude of lifeline critical infrastructures on the other, calls for holistic defense strategies to safeguard the power grids against cyber adversaries. In order to improve the resilience of the power grid against adversarial attacks and cyber intrusions, advancements should be sought on detection techniques, protection plans, and mitigation practices in all electricity generation, transmission, and distribution sectors. This survey discusses such major directions and recent advancements from a lens of different detection techniques, equipment protection plans, and mitigation strategies to enhance the energy delivery infrastructure resilience and operational endurance against cyber attacks. This undertaking is essential since even modest improvements in resilience of the power grid against cyber threats could lead to sizeable monetary savings and an enriched overall social welfare. INDEX TERMS Cyber physical systems (CPS), cyber attack, intrusion detection system (IDS), false data injection attack (FDIA), energy management system (EMS), power grid resilience.

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Section: B Impacts Of Cyber Attacks On Power Gridmentioning

confidence: 99%

Electric Power Grid Resilience to Cyber Adversaries: State of the Art

et al. 2020

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“…The availability of validated system models are limited, the testing and hardware/software costs are high, and there are system validation challenges. Many of the existing testbeds rely purely on software (simulation/emulation) implementations or are built for a particular project [5][6][7][8][9]. Their flexibility is usually limited to a very narrow subset of applications/algorithms.…”

Section: Related Workmentioning

confidence: 99%

PRIME: a real‐time cyber‐physical systems testbed: from wide‐area monitoring, protection, and control prototyping to operator training and beyond

Bečejac

Eppinger

Ashok

et al. 2020

IET cyber-phys. syst.

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“…It is detailed for calibrating the PMUs [17], but it requires multiple data for reducing the error. The algorithm of fault location is entrenched to investigate the PMU response error [18]. Nevertheless, the technique has integrated the calibration of error by placing the PMUs.…”

Section: State-of-the Art Workmentioning

confidence: 99%

Phasor measuring unit calibration considering topology expansion of electric power utilities

Veeramuthu¹,

Ganesan²,

Subramanian³

2020

J. meas. eng.

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Phasor Measuring Units (PMU) is considered as a feasible alternative for power system data communication and for the preparation of smart grid. To operate multiple PMUs in stable mode, synchronization is a much essential procedure. After examining the concise literature survey on topical PMU applications, this paper step ahead by considering prevailing objectives such as: extension of network topology and PMU calibration considering bias errors. The appropriate deployment of PMUs and intimidating situation influence the reliance on physical configuration. Hence, it is obligatory to extend the topology of the networks. Also, calibrating the PMUs in a definite trail is crucial as the phasor measurements will be corrupted by bias error. This paper proposes a novel framework for bias error detection and calibration of PMU while expanding the topology network. With a whale optimization algorithm based method to improve the accuracy of PMU measurements for enhancing power system state estimation, monitoring and control operations. Case studies on the standard test systems have been conducted to test the efficacy of the intended tool.

show abstract

Impact of the errors in the PMU response on synchrophasor-based fault location algorithms

Cited by 10 publications

References 33 publications

Electric Power Grid Resilience to Cyber Adversaries: State of the Art

Electric Power Grid Resilience to Cyber Adversaries: State of the Art

PRIME: a real‐time cyber‐physical systems testbed: from wide‐area monitoring, protection, and control prototyping to operator training and beyond

Phasor measuring unit calibration considering topology expansion of electric power utilities

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