Data-Driven Framework to Model Identification, Event Detection, and Topology Change Location Using D-PMUs

Mayo-Maldonado, Jonathan C.; Valdez-Reséndiz, Jesús E.; Guillén, Daniel; Bariya, Mohini; Meier, Alexandra von; Salas-Esquivel, Ernesto A.; Ostfeld, Aminy E.

doi:10.1109/tim.2020.2980332

Cited by 19 publications

(14 citation statements)

References 23 publications

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“…In ref. [53] a behavioral systems theory framework to identify the flaws in data quality due to injected attacks is proposed. It uses synchrophasor voltage, current estimates to capture the inconsistency between past and present measurements.…”

Section: Methods Used In Sbr Evaluationmentioning

confidence: 99%

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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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Section: Methods Used In Sbr Evaluationmentioning

confidence: 99%

“…Comparison of past and present voltage and current synchrophasor datasets can identify such abnormalities 44 . The variance of time sequence voltage synchrophasor from its threshold value gives the micro‐PMU data inconsistency 49,53 . The synchrophasors near to the HILF location experience a larger deviation in measurements.…”

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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“…To meet these challenges, advanced infrastructures that perform measurement, communication, computation and control are needed to support the application requirements of monitoring, protection and control of smart DNs. Many literatures have discussed the application of phasor measurement units (PMUs) [2,4], 5G [5], cloud computing [6], edge computing [7] in DNs. Among them, the synchronous measurement technology represented by PMU is considered a promising solution [2,4].…”

Section: Introductionmentioning

confidence: 99%

Fault location method based on structure‐preserving state estimation for distribution networks

Cai

et al. 2022

IET Generation Trans & Dist

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The development and application of information and communication technology in distribution networks (DNs) brings new and abundant measurement data, and this has inspired many solutions for the monitoring, protection and control application of DNs. Against this background, a novel fault location method based on structure-preserving state estimation (SPSE) is proposed to enhance the fault location performance of DNs. A SPSE model that reflects the change in the network topology during fault incidents is constructed by combining classical measurement equations with newly introduced topology equations. Then, a unified faulted structure-preserving topology model that eliminates the influence of uncertain fault location point is presented. According to the calculated measurement residual indices and the equivalent fault current for each state estimation (SE) section, the location of the fault is determined. Considering different fault scenarios in a distribution network, the performance of the proposed method is tested by using MATLAB software. Moreover, the factors of sensor accuracy, the bad data and data missing issues are considered. The test results demonstrate that the method can precisely determine the real location of fault and has good robustness to possible data anomalies.

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“…In [16], researchers focused on model reduction of a DN for state estimation based on PMUs and performed arbitrary selection of lines and network nodes based on load flow equations. In [17], researchers performed detection and localization of changes in the DN topology using data obtained by PMUs. This approach did not require information about the network model or particular characteristics of the disturbance.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Analysis of the Impedance–Temperature Relationship in Electric Distribution Lines Using PMUs

et al. 2021

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In this paper, an efficient method to compute the phase impedance of a power distribution line is presented. This paper’s main interest is to collect and analyze the impedance–temperature profiles in distribution lines by employing real-time phasor measurement units (PMUs) voltage and current measurements. The monitoring system has been developed for microgrids integrating ocean energies within the scope of the Mexican Ocean Energy Innovation Centre (CEMIE-Océano), contributing to marine energy tools’ innovation and development. The development tool can easily be applied to other distribution network components or to monitor microgrids with renewable-energy generation.

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Data-Driven Framework to Model Identification, Event Detection, and Topology Change Location Using D-PMUs

Cited by 19 publications

References 23 publications

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

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

Fault location method based on structure‐preserving state estimation for distribution networks

Real-Time Analysis of the Impedance–Temperature Relationship in Electric Distribution Lines Using PMUs

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