Robust Recovery of PMU Signals With Outlier Characterization and Stochastic Subspace Selection

Chatterjee, Kaustav; Mahapatra, Kamalakanta; Chaudhuri, Nilanjan Ray

doi:10.1109/tsg.2019.2961561

Cited by 19 publications

(9 citation statements)

References 28 publications

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“…A proposal for recovering clean signals from corrupted synchrophasor measurements is presented in Ref. [94]. It uses robust PCA to detect and differentiate event‐induced outliers from spurious ones in data.…”

Section: Discussionmentioning

confidence: 99%

Power system coherency recognition and islanding: Practical limits and future perspectives

Chamorro

Gomez‐Diaz

Paternina

et al. 2022

IET Energy Syst Integration

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Electrical power systems are continuously upgrading into networks with a higher degree of automation capable of identifying and reacting to different events that may trigger undesirable situations. In power systems with decreasing inertia and damping levels, poorly damped oscillations with sustained or growing amplitudes following a disturbance may eventually lead to instability and provoke a major event such as a blackout. Additionally, with the increasing and considerable share of renewable power generation, unprecedented operational challenges shall be considered when proposing protection schemes against unstable electro-mechanical (e.g. ringdown) oscillations. In an emergency situation, islanding operations enable splitting a power network into separate smaller networks to prevent a total blackout. Due to such changes, identifying the underlying types of oscillatory coherency and the islanding protocols are necessary for a continuously updating process to be incorporated into the existing power system monitoring and control tasks. This paper examines the existing evaluation methods and the islanding protocols as well as proposes an updated operational guideline based on the latest dataanalytic technologies.

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Section: Discussionmentioning

confidence: 99%

Power system coherency recognition and islanding: Practical limits and future perspectives

Chamorro

Gomez‐Diaz

Paternina

et al. 2022

IET Energy Syst Integration

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“…In ref. [52] a stochastic based composite approach for synchrophasor measurement anomaly correction is presented. Application of WAMS aids to accurately recover the transients.…”

Section: Methods Used In Sbr Evaluationmentioning

confidence: 99%

“…Accurate detection and recovery of synchrophasor data from the corrupted measurements prevent further degradation 47,48 . Monitoring its most indicative feature aids mitigation during intrusion and adverse weather 51,52 . The classification of HILF events into natural and cyber‐oriented events help in robust feature extraction 54,56 .…”

Section: Sbr Applicationsmentioning

confidence: 99%

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Sonal

Ghosh

2021

Int Trans Electr Energ Syst

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Summary The gradual sprawl of power system toward smart grid and enhanced integration of distributed energy resources at the distribution end is transforming the conventional distribution system and is eventually making it self‐sustained. The distribution system is thus continuously evolving to prepare itself for any unforeseen natural, man‐made, and complex events. These events may impact the distribution system as high‐impact low‐frequency (HILF) scenarios. The high intensity and widespread damage of the power system due to HILF scenarios necessitate resilience. Resilience analysis aims to identify these region‐specific vulnerabilities of the electricity network and implement appropriate methods to quickly restore the system to its predisturbance state. Further to enhance the network visibility and situational awareness, integration of synchrophasor to resilience is significant. Therefore, synchrophasor technology integrated with resilience provides online wide area visibility of the distribution system. Using synchrophasor for resilience assessment propels an agile network for coordinating accurate and timely analysis of the system parameters. Therefore, understanding the concept of resilience, its evolution, detailed overview, synchrophasor‐based resilience (SBR) methods as well as its applications are necessary. This article outlines the key points of the synchrophasor technology based resilience technique, its significance, and lays a foundation for continuing research in this area. It offers detailed insight into the comprehensive review of this evolving concept. The article majorly focuses on all the aspects of SBR, its necessity in performance evaluation, synchrophasor measurement based resilience enhancement methods, and application of different SBR techniques in the distribution system. A detailed comparative analysis of SBR features, sample efficiency, result accuracy, merits, and demerits based on available literature is provided. Finally, future perspectives are discussed for implementing resilience assessment using synchrophasor technology in the distribution system.

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“…Of course, most of this research is in telecommunications and information technology [31,32]. From the point of view of the power system, PCA method was used to reduce the dimension of data in the phasor measurement unit (PMU) system in some articles [33]. In other articles, the electricity consumption of customers is predicted, such as [34] by considering electricity consumer characteristics for DR policy in power systems computed with a federated learning approach.…”

Section: Introductionmentioning

confidence: 99%

Adaptive distributed demand side management with weighted dimension reduction for energy resource management in smart grid

Farkhad

Foroud

2023

IET Generation Trans & Dist

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Demand side management (DSM) consists of planning, executing, and controlling activities to reduce electricity consumption. By using demand response (DR), customers help reduce demand during peak times. Consumer participation in DSM depends on his behaviour. Consumer behaviour is determined by factors such as lifestyle, electricity price, electricity consumption tariff, contract type etc. Thus, factors affecting the consumer's behaviour should be considered in order to determine more accurately the amount of participation in DSM programs. This article presents a model for the optimal scheduling of distributed energy resources by taking into account factors related to consumer behaviour. To reduce the volume of the DR data while maintaining the main features, distributed principal component analysis (D_PCA) was used to reduce the volume of DR data. Also, by integrating this method with the accelerated hybrid alternating direction method of multipliers (AHADMM) algorithm, an adapted and accelerated method is achieved to realize the reliability and cyber security of the system. The case study was conducted on the IEEE 118 bus power system at different levels of demand, which verified proposed metaalgorithm improved at least between 4 to 13 iterations of energy resource convergence speed compared to similar methods and while DR is also intended.

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Robust Recovery of PMU Signals With Outlier Characterization and Stochastic Subspace Selection

Cited by 19 publications

References 28 publications

Power system coherency recognition and islanding: Practical limits and future perspectives

Power system coherency recognition and islanding: Practical limits and future perspectives

Novel trends in resilience assessment of a distribution system using synchrophasor application: A literature review

Adaptive distributed demand side management with weighted dimension reduction for energy resource management in smart grid

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