Pub Date : 2022-05-24DOI: 10.1109/SGSMA51733.2022.9806016
G. Frigo, F. G. Toro
The ever-increasing penetration of renewable energy sources and distributed generation needs the development and deployment of more sophisticated and precise control techniques. The paradigm shift from high-rotational inertia towards inverter-connected facilities has made modern power systems subject to strongly non-stationary operating conditions. In this context, Phasor Measurement Units (PMUs) represent a promising solution, due to their measurement accuracy as well as time synchronization. The current paper further develops the concepts recently published proposing performance assessment of PMUs relying on metrics specifically defined to quantify the estimation accuracy, reporting latency and response time. Our focus is on determining the confidence interval associated to these metrics and thus derive a robust approach for their application in measurement-based network controlling efforts. The configuration of the used simulation model is detailed and the state estimation results as function of the selected measurement weighing criteria are presented, concluding as a possible application of the reliability metrics in a Weighted Least Squares (WLS) state estimation, highlighting the performance enhancement as well as the theoretical limits of the proposed approach.
{"title":"Metrological Significance and Reliability of On-Line Performance Metrics in PMU-based WLS State Estimation","authors":"G. Frigo, F. G. Toro","doi":"10.1109/SGSMA51733.2022.9806016","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806016","url":null,"abstract":"The ever-increasing penetration of renewable energy sources and distributed generation needs the development and deployment of more sophisticated and precise control techniques. The paradigm shift from high-rotational inertia towards inverter-connected facilities has made modern power systems subject to strongly non-stationary operating conditions. In this context, Phasor Measurement Units (PMUs) represent a promising solution, due to their measurement accuracy as well as time synchronization. The current paper further develops the concepts recently published proposing performance assessment of PMUs relying on metrics specifically defined to quantify the estimation accuracy, reporting latency and response time. Our focus is on determining the confidence interval associated to these metrics and thus derive a robust approach for their application in measurement-based network controlling efforts. The configuration of the used simulation model is detailed and the state estimation results as function of the selected measurement weighing criteria are presented, concluding as a possible application of the reliability metrics in a Weighted Least Squares (WLS) state estimation, highlighting the performance enhancement as well as the theoretical limits of the proposed approach.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124014049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-24DOI: 10.1109/SGSMA51733.2022.9805844
S. Piskunov, A. Mokeev, A. Popov, Dmitrij N. Ulyanov, A. Rodionov
The paper considers the automation of 6-20 kV distribution networks based on synchronized phasor measurement (SPM) technology. The first part of the paper is devoted to the technical system providing localization of faults in the network with isolated and compensated neutral. The paper describes the system, its main functions, architecture, advantages. The second part of the paper relates to the automation of power supply centers of the distribution network - step-down substations (SS) and distribution points (DP). The authors propose using SPM to implement new protection principles of busbars and power transformers. In addition, multifunctional systems are considered that ensure the execution of several network automation tasks at once: monitoring the state of a power transformer, energy monitoring, energy metering, telemechanics, relay protection, and automation (RPA). The paper presents and describes technical devices based on which the operation of the considered systems is carried out. Presented solutions provide integration with digital substation technology, WAMPAC systems.
{"title":"Technical solutions for automation of distribution networks based on SPM technology","authors":"S. Piskunov, A. Mokeev, A. Popov, Dmitrij N. Ulyanov, A. Rodionov","doi":"10.1109/SGSMA51733.2022.9805844","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9805844","url":null,"abstract":"The paper considers the automation of 6-20 kV distribution networks based on synchronized phasor measurement (SPM) technology. The first part of the paper is devoted to the technical system providing localization of faults in the network with isolated and compensated neutral. The paper describes the system, its main functions, architecture, advantages. The second part of the paper relates to the automation of power supply centers of the distribution network - step-down substations (SS) and distribution points (DP). The authors propose using SPM to implement new protection principles of busbars and power transformers. In addition, multifunctional systems are considered that ensure the execution of several network automation tasks at once: monitoring the state of a power transformer, energy monitoring, energy metering, telemechanics, relay protection, and automation (RPA). The paper presents and describes technical devices based on which the operation of the considered systems is carried out. Presented solutions provide integration with digital substation technology, WAMPAC systems.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"11 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116794301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-24DOI: 10.1109/SGSMA51733.2022.9806006
J. Chavez, N. V. Kumar, M. Popov, P. Palensky, S. Azizi, E. Melgoza, V. Terzija
Fault currents may result in cascading failures and even system collapse if not detected and cleared on time. To account for the possibility of failure of primary protection under stressed system conditions, an extra layer of protection is commonly employed, referred to as backup protection. This paper introduces an effective formulation for realizing remote backup protection using available data from PMUs and Intelligent Electronic Devices (IEDs). The proposed method is split into three main stages. The first stage deals with the zoning detection of the fault. The second stage is aimed at faulted line detection, and finally, the third stage determines the fault distance on the faulted line. The method is designed to take full advantage of measurements provided by PMUs and IEDs. The challenges associated with different reporting rates are resolved thanks to the dynamic decimator employed to this end. The proposed method has been implemented in real-time by applying co-simulation with MATLAB and validated using the New England IEEE 39 bus system with several fault events.
{"title":"Non-Homogeneous Sampling Rate Wide Area Backup Protection using Synchrophasors and IED Data","authors":"J. Chavez, N. V. Kumar, M. Popov, P. Palensky, S. Azizi, E. Melgoza, V. Terzija","doi":"10.1109/SGSMA51733.2022.9806006","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806006","url":null,"abstract":"Fault currents may result in cascading failures and even system collapse if not detected and cleared on time. To account for the possibility of failure of primary protection under stressed system conditions, an extra layer of protection is commonly employed, referred to as backup protection. This paper introduces an effective formulation for realizing remote backup protection using available data from PMUs and Intelligent Electronic Devices (IEDs). The proposed method is split into three main stages. The first stage deals with the zoning detection of the fault. The second stage is aimed at faulted line detection, and finally, the third stage determines the fault distance on the faulted line. The method is designed to take full advantage of measurements provided by PMUs and IEDs. The challenges associated with different reporting rates are resolved thanks to the dynamic decimator employed to this end. The proposed method has been implemented in real-time by applying co-simulation with MATLAB and validated using the New England IEEE 39 bus system with several fault events.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130173894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-24DOI: 10.1109/SGSMA51733.2022.9806005
Alexandra Karpilow, M. Paolone, A. Derviškadić, G. Frigo
In the analysis of power grid waveforms, the presence of amplitude or phase steps can disrupt the estimation of frequency and rate-of-change-of-frequency (ROCOF). Standard methods based on phasor-models fail in the extraction of signal parameters during these signal dynamics, often yielding large frequency and ROCOF deviations. To address this challenge, we propose a technique that approximates components of the signal (e.g., amplitude and frequency variations) using dictionaries based on parameterized models of common signal dynamics. Distinct from a previous iteration of this method developed by the authors, the proposed technique allows for the identification of multiple steps in a window, as well as the presence of interfering tones. The method is shown to improve signal reconstruction when applied to real-world waveforms, as compared to standard static and dynamic phasor-based algorithms.
{"title":"Step Change Detection for Improved ROCOF Evaluation of Power System Waveforms","authors":"Alexandra Karpilow, M. Paolone, A. Derviškadić, G. Frigo","doi":"10.1109/SGSMA51733.2022.9806005","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806005","url":null,"abstract":"In the analysis of power grid waveforms, the presence of amplitude or phase steps can disrupt the estimation of frequency and rate-of-change-of-frequency (ROCOF). Standard methods based on phasor-models fail in the extraction of signal parameters during these signal dynamics, often yielding large frequency and ROCOF deviations. To address this challenge, we propose a technique that approximates components of the signal (e.g., amplitude and frequency variations) using dictionaries based on parameterized models of common signal dynamics. Distinct from a previous iteration of this method developed by the authors, the proposed technique allows for the identification of multiple steps in a window, as well as the presence of interfering tones. The method is shown to improve signal reconstruction when applied to real-world waveforms, as compared to standard static and dynamic phasor-based algorithms.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130129674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-05-24DOI: 10.1109/SGSMA51733.2022.9806018
L. Kumar, Shehab Ahmed, L. Vanfretti, N. Kishor
This article develops and demonstrates the software toolchain for real-time testing of synchrophasor based algorithms. Real-time testing procedure being the need of smart grid, requires to be hassle-free and easily accessible to the researchers. The developed software toolchain combines both MATLAB and open-source software. The toolchain requires recorded phasor measurement unit (PMU) or phasor data concentrator (PDC) signals, which are then played-back in real-time in the same computer using local sockets. The data is replayed using transmission control protocol/internet protocol (TCP/IP) sockets and the IEEE C37.111-2013 data transfer standard. The data is then retrieved and processed in real-time by any synchrophasor based algorithm in MATLAB. The toolchain is demonstrated with two examples, one that shows the main functionality by testing the connection with a PMU/PDC and another testing of a wide-area forced oscillation (FO) monitoring algorithm.
{"title":"A Software Toolchain for Real-Time Testing of Synchrophasor Algorithms in MATLAB","authors":"L. Kumar, Shehab Ahmed, L. Vanfretti, N. Kishor","doi":"10.1109/SGSMA51733.2022.9806018","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806018","url":null,"abstract":"This article develops and demonstrates the software toolchain for real-time testing of synchrophasor based algorithms. Real-time testing procedure being the need of smart grid, requires to be hassle-free and easily accessible to the researchers. The developed software toolchain combines both MATLAB and open-source software. The toolchain requires recorded phasor measurement unit (PMU) or phasor data concentrator (PDC) signals, which are then played-back in real-time in the same computer using local sockets. The data is replayed using transmission control protocol/internet protocol (TCP/IP) sockets and the IEEE C37.111-2013 data transfer standard. The data is then retrieved and processed in real-time by any synchrophasor based algorithm in MATLAB. The toolchain is demonstrated with two examples, one that shows the main functionality by testing the connection with a PMU/PDC and another testing of a wide-area forced oscillation (FO) monitoring algorithm.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124341317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-19DOI: 10.1109/SGSMA51733.2022.9806012
Lucas Lugnani, D. Dotta, M.R.A. Paternina, J. Chow
This work presents a data-driven analysis of minimal length necessary for coherency detection considering a recursive form of the typicality-based Data analysis (TDA). It proposes a methodology that encloses the observation of the variance of the typicality (τ) to asses the minimal window length necessary to determine the coherent buses, where the properties of the TDA approach and the groups of buses are iteratively calculated at every new data point sampled. Once the variance of each group reaches a certain value, the minimal window length is determined. Besides, this method preserves the TDA characteristics of using exclusively measurements, not requiring pre-determination of number of groups, group centers or cut-off constants. The method is applied to the well know 2-area Kundur test system, allowing to corroborate its effectiveness and draw conclusions regarding minimal window length dependence on the slowest inter-area mode.
{"title":"Real-time Coherency Identification using a Window-Size-Based Recursive Typicality Data Analysis","authors":"Lucas Lugnani, D. Dotta, M.R.A. Paternina, J. Chow","doi":"10.1109/SGSMA51733.2022.9806012","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806012","url":null,"abstract":"This work presents a data-driven analysis of minimal length necessary for coherency detection considering a recursive form of the typicality-based Data analysis (TDA). It proposes a methodology that encloses the observation of the variance of the typicality (τ) to asses the minimal window length necessary to determine the coherent buses, where the properties of the TDA approach and the groups of buses are iteratively calculated at every new data point sampled. Once the variance of each group reaches a certain value, the minimal window length is determined. Besides, this method preserves the TDA characteristics of using exclusively measurements, not requiring pre-determination of number of groups, group centers or cut-off constants. The method is applied to the well know 2-area Kundur test system, allowing to corroborate its effectiveness and draw conclusions regarding minimal window length dependence on the slowest inter-area mode.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129772530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：