Pub Date : 2022-05-24DOI: 10.1109/SGSMA51733.2022.9806013
Prottay M. Adhikari, L. Vanfretti, Chetan Mishra, Kevin D. Jones
In grid applications featuring various Distributed Energy Resources (DERs), e.g. microgrids, synchrophasor applications would require an extensive infrastructure including substantial instrumentation-hardware, communication network extensions and controller installations, like in WAMPAC systems. Thus, such overall implementation becomes cost-prohibitive. To address this issue, this paper proposes a dedicated centralized synchronization hardware to replace aggregation PDCs, and supplementary control functions into a single piece of hardware. This particular hardware is termed as Synchrophasor Synchronization Gateway & Controller (SSGC). The proposed SSGC hardware utilizes the Khorjin library to parse IEEE C37.118 data, concurrently from multiple devices, and in an embedded hard real-time (RT) computer system through a synchronization layer. Supplementary control actions, e.g. power flow control, are implemented on top of the synchronization layer. This SSGC based architecture is tested with a RT microgrid model implemented on Typhoon HIL-604 RT simulator. The communication interface between the micrgrid and the SSGC was tampered through external hardware by introducing network delays & data-drops, and its performance was analyzed.
{"title":"A Reconfigurable Synchrophasor Synchronization Gateway & Controller Architecture for DERs","authors":"Prottay M. Adhikari, L. Vanfretti, Chetan Mishra, Kevin D. Jones","doi":"10.1109/SGSMA51733.2022.9806013","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806013","url":null,"abstract":"In grid applications featuring various Distributed Energy Resources (DERs), e.g. microgrids, synchrophasor applications would require an extensive infrastructure including substantial instrumentation-hardware, communication network extensions and controller installations, like in WAMPAC systems. Thus, such overall implementation becomes cost-prohibitive. To address this issue, this paper proposes a dedicated centralized synchronization hardware to replace aggregation PDCs, and supplementary control functions into a single piece of hardware. This particular hardware is termed as Synchrophasor Synchronization Gateway & Controller (SSGC). The proposed SSGC hardware utilizes the Khorjin library to parse IEEE C37.118 data, concurrently from multiple devices, and in an embedded hard real-time (RT) computer system through a synchronization layer. Supplementary control actions, e.g. power flow control, are implemented on top of the synchronization layer. This SSGC based architecture is tested with a RT microgrid model implemented on Typhoon HIL-604 RT simulator. The communication interface between the micrgrid and the SSGC was tampered through external hardware by introducing network delays & data-drops, and its performance was analyzed.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"23 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":"116777660","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/SGSMA51733.2022.9806011
F. E. Reyes, M. G. Juarez, A. Zamora, J. Ortiz, J. C. Silva, M. Paternina, C. Toledo-Santos
This paper specializes in the real-time execution of three mature linear ringdown analysis methods for modal identification in power systems. Data-based identification methods such as Prony’s method, eigensystem realization algorithm, and matrix pencil are embedded into a Matlab & Simulink-powered real-time simulation environment. Their implementations are achieved by using a sliding window approach, are profited by the inherent features of a parallel computing software architecture, reduce the computational complexity of the methods through shorttime windows length, and provide instantaneous modal information (damping and frequency). These enhancements make part of a user-friendly tool to effectively deal with the modal identification issue. This tool is successfully tested using two test power systems: the two-area Kundur system and a reduced-order representation of the New England power grid. Its effectiveness and performance are demonstrated with the attained results and its validation.
{"title":"Real-time execution of linear ringdown analysis methods for identifying dominant modes","authors":"F. E. Reyes, M. G. Juarez, A. Zamora, J. Ortiz, J. C. Silva, M. Paternina, C. Toledo-Santos","doi":"10.1109/SGSMA51733.2022.9806011","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806011","url":null,"abstract":"This paper specializes in the real-time execution of three mature linear ringdown analysis methods for modal identification in power systems. Data-based identification methods such as Prony’s method, eigensystem realization algorithm, and matrix pencil are embedded into a Matlab & Simulink-powered real-time simulation environment. Their implementations are achieved by using a sliding window approach, are profited by the inherent features of a parallel computing software architecture, reduce the computational complexity of the methods through shorttime windows length, and provide instantaneous modal information (damping and frequency). These enhancements make part of a user-friendly tool to effectively deal with the modal identification issue. This tool is successfully tested using two test power systems: the two-area Kundur system and a reduced-order representation of the New England power grid. Its effectiveness and performance are demonstrated with the attained results and its validation.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"41 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":"125144884","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}
The spread of renewable energy generation and power electronics-based devices introduces rich harmonic and interharmonic components into power system signals and significantly broadens the frequency band. These multiple components, especially the interharmonic tones, can deteriorate power quality, cause oscillations, trip thermal power generations, and threaten system stability. A first step to mitigate these negative influences is to precisely and fast monitor the signal characteristics, e.g., frequency, amplitude, and phase. This paper proposes a simple and robust index to estimate the number of signal components based on the singular values of the Hankel matrix composed of signal samples. The simplified matrix pencil theory is used to solve signal frequency and the least-squares algorithm is modified to estimate the wideband multi-component phasors. Finally, a set of numerical tests, including the maximum signal component number test, the minimum signal frequency interval test, the dynamic modulation on amplitude and phase, are carried out. Test results verify that the proposed algorithm can realize good wideband multi-component phasor estimations.
{"title":"A Dynamic Wideband Multi-Component Phasor Estimator Using Matrix Theory","authors":"Dongfang Zhao, Fuping Wang, Shisong Li, Wei Zhao, Songling Huang","doi":"10.1109/SGSMA51733.2022.9806004","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806004","url":null,"abstract":"The spread of renewable energy generation and power electronics-based devices introduces rich harmonic and interharmonic components into power system signals and significantly broadens the frequency band. These multiple components, especially the interharmonic tones, can deteriorate power quality, cause oscillations, trip thermal power generations, and threaten system stability. A first step to mitigate these negative influences is to precisely and fast monitor the signal characteristics, e.g., frequency, amplitude, and phase. This paper proposes a simple and robust index to estimate the number of signal components based on the singular values of the Hankel matrix composed of signal samples. The simplified matrix pencil theory is used to solve signal frequency and the least-squares algorithm is modified to estimate the wideband multi-component phasors. Finally, a set of numerical tests, including the maximum signal component number test, the minimum signal frequency interval test, the dynamic modulation on amplitude and phase, are carried out. Test results verify that the proposed algorithm can realize good wideband multi-component phasor estimations.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"79 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":"127757663","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/SGSMA51733.2022.9806003
G. Frigo, P. Pegoraro, S. Toscani
The increasing penetration of renewable energy sources make modern power systems more prone to fast dynamics and system contingencies. In this scenario, Phasor Measurement Units (PMUs) are required not only to provide a snapshot of the system state at a given reporting time instant, but also to track the time evolution. This capability does not depend uniquely on the accuracy of the synchrophasor estimation algorithm, but more generally on the configuration of the PMU itself and how data is employed. In this context, the paper investigates the potential advantages and the open issues of PMU-based dynamic tracking using real-world datasets, discussing how different algorithms and reporting rates affect the overall results.
{"title":"Tracking Power Systems Events: PMU, Reporting Rate, Interpolation","authors":"G. Frigo, P. Pegoraro, S. Toscani","doi":"10.1109/SGSMA51733.2022.9806003","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806003","url":null,"abstract":"The increasing penetration of renewable energy sources make modern power systems more prone to fast dynamics and system contingencies. In this scenario, Phasor Measurement Units (PMUs) are required not only to provide a snapshot of the system state at a given reporting time instant, but also to track the time evolution. This capability does not depend uniquely on the accuracy of the synchrophasor estimation algorithm, but more generally on the configuration of the PMU itself and how data is employed. In this context, the paper investigates the potential advantages and the open issues of PMU-based dynamic tracking using real-world datasets, discussing how different algorithms and reporting rates affect the overall results.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"4 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":"131595407","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/SGSMA51733.2022.9806010
Zheyuan Cheng, Y. Hu, Z. Obradovic, M. Kezunovic
Data quality plays a crucial role in successful applications of synchrophasor data in power system operation and control. This paper presents the results of a data quality analysis of a multi-year field-recorded synchrophasor dataset. The analysis has identified several typical data quality issues encountered in the field data. An examination of the PMU status words included with the dataset has revealed several inconsistent implementations and the lack of correlation between the PMU data quality and the status word, which impacts the usefulness of such information. Our investigation has concluded that the status word alone as found in the recorded field dataset could not be used as a reliable indicator of data quality for field-recorded data. Several recommendations are proposed to improve the usefulness of the PMU status word.
{"title":"Using Synchrophasor Status Word as Data Quality Indicator: What to Expect in the Field?","authors":"Zheyuan Cheng, Y. Hu, Z. Obradovic, M. Kezunovic","doi":"10.1109/SGSMA51733.2022.9806010","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806010","url":null,"abstract":"Data quality plays a crucial role in successful applications of synchrophasor data in power system operation and control. This paper presents the results of a data quality analysis of a multi-year field-recorded synchrophasor dataset. The analysis has identified several typical data quality issues encountered in the field data. An examination of the PMU status words included with the dataset has revealed several inconsistent implementations and the lack of correlation between the PMU data quality and the status word, which impacts the usefulness of such information. Our investigation has concluded that the status word alone as found in the recorded field dataset could not be used as a reliable indicator of data quality for field-recorded data. Several recommendations are proposed to improve the usefulness of the PMU status word.","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":"115970536","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/SGSMA51733.2022.9806000
T. Dokic, Rashid Baembitov, A. Hai, Zheyuan Cheng, Y. Hu, M. Kezunovic, Z. Obradovic
This paper describes simple and efficient machine learning (ML) methods for efficiently detecting multiple types of power system events captured by PMUs scarcely placed in a large power grid. It uses a single feature from each PMU based on a rectangle area enclosing the event in a given data window. This single feature is sufficient to enable commonly used ML models to detect different types of events quickly and accurately. The feature is used by five ML models on four different data-window sizes. The results indicated a tradeoff between the execution speed and detection accuracy in variety of data-window size choices. The proposed method is insensitive to most data quality issues typical for data from field PMUs, and thus it does not require major data cleansing efforts prior to feature extraction.
{"title":"Machine Learning Using a Simple Feature for Detecting Multiple Types of Events From PMU Data","authors":"T. Dokic, Rashid Baembitov, A. Hai, Zheyuan Cheng, Y. Hu, M. Kezunovic, Z. Obradovic","doi":"10.1109/SGSMA51733.2022.9806000","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806000","url":null,"abstract":"This paper describes simple and efficient machine learning (ML) methods for efficiently detecting multiple types of power system events captured by PMUs scarcely placed in a large power grid. It uses a single feature from each PMU based on a rectangle area enclosing the event in a given data window. This single feature is sufficient to enable commonly used ML models to detect different types of events quickly and accurately. The feature is used by five ML models on four different data-window sizes. The results indicated a tradeoff between the execution speed and detection accuracy in variety of data-window size choices. The proposed method is insensitive to most data quality issues typical for data from field PMUs, and thus it does not require major data cleansing efforts prior to feature extraction.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"49 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":"114322808","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/SGSMA51733.2022.9806008
P. Castello, C. Muscas, P. Pegoraro, Davide Sitzia, S. Sulis, G. Giannuzzi, Martina Pede, C. Maiolini, P. Pau, F. Bassi, C. Coluzzi
This work proposes an enhanced Wide Area Monitoring System architecture to integrate information provided by heterogeneous measurement devices. In particular, it considers the information collected from Phasor Measurement Units, Power Quality Meters, and Digital Fault Recorders installed at different levels of the transmission grid. The different data are correlated using georeferenced information and the timestamp that is considered for tagging the measurements. The proposed architecture is based on a prototype specifically made to increase the awareness of the information obtained from the field, and it is tested with real data provided by Terna Rete Italia, the Italian Transmission System Operator. The test cases show that the proposed system could be a helpful tool also to perform a deeper analysis on the origin of faults and power quality events detected at different levels of the power grid.
{"title":"Enhanced PMU-based Wide Area Measurement System with Integrated Power Quality and Fault Analysis","authors":"P. Castello, C. Muscas, P. Pegoraro, Davide Sitzia, S. Sulis, G. Giannuzzi, Martina Pede, C. Maiolini, P. Pau, F. Bassi, C. Coluzzi","doi":"10.1109/SGSMA51733.2022.9806008","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806008","url":null,"abstract":"This work proposes an enhanced Wide Area Monitoring System architecture to integrate information provided by heterogeneous measurement devices. In particular, it considers the information collected from Phasor Measurement Units, Power Quality Meters, and Digital Fault Recorders installed at different levels of the transmission grid. The different data are correlated using georeferenced information and the timestamp that is considered for tagging the measurements. The proposed architecture is based on a prototype specifically made to increase the awareness of the information obtained from the field, and it is tested with real data provided by Terna Rete Italia, the Italian Transmission System Operator. The test cases show that the proposed system could be a helpful tool also to perform a deeper analysis on the origin of faults and power quality events detected at different levels of the power grid.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"23 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":"126148584","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/SGSMA51733.2022.9806002
H. Hooshyar, A. Haddadi, E. Farantatos, Mahendra Patel
The dynamic stability and transient performance of the grid is changed by the continuously increasing integration of inverter-based resources (IBRs). Synchrophasors provided by Phasor Measurement Units (PMUs) can be used to monitor these dynamics due to their high-resolution and synchronized time stamping. In addition, application of Synchrophasor technology in grid control is another area of interest. The time synchronization of Synchrophasor measurements as well as their high resolution, in conjunction with actuators such as IBRs with fast active and reactive power modulation capabilities, enables the development and application of wide-area fast control schemes that may improve grid reliability. However, the filtering and signal processing within a PMU might compromise the accuracy of the monitoring, as well as the control action and effect. In that case, high-resolution sampled value (point-on-wave) synchronized measurements might be beneficial compared to Synchrophasors.The objective of this paper is to illustrate the abovementioned limitations by testing a commercial grade PMU by use of a real-time hardware-in-the-loop (RT-HIL) simulation setup. Examples of system dynamics and transients observed in power grids with IBRs are fed to the PMU, and the PMU recorded data is analyzed.
{"title":"Investigation of PMU Limitations in Monitoring Fast Dynamics Through Real-Time Hardware-In-The-Loop Experiments","authors":"H. Hooshyar, A. Haddadi, E. Farantatos, Mahendra Patel","doi":"10.1109/SGSMA51733.2022.9806002","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806002","url":null,"abstract":"The dynamic stability and transient performance of the grid is changed by the continuously increasing integration of inverter-based resources (IBRs). Synchrophasors provided by Phasor Measurement Units (PMUs) can be used to monitor these dynamics due to their high-resolution and synchronized time stamping. In addition, application of Synchrophasor technology in grid control is another area of interest. The time synchronization of Synchrophasor measurements as well as their high resolution, in conjunction with actuators such as IBRs with fast active and reactive power modulation capabilities, enables the development and application of wide-area fast control schemes that may improve grid reliability. However, the filtering and signal processing within a PMU might compromise the accuracy of the monitoring, as well as the control action and effect. In that case, high-resolution sampled value (point-on-wave) synchronized measurements might be beneficial compared to Synchrophasors.The objective of this paper is to illustrate the abovementioned limitations by testing a commercial grade PMU by use of a real-time hardware-in-the-loop (RT-HIL) simulation setup. Examples of system dynamics and transients observed in power grids with IBRs are fed to the PMU, and the PMU recorded data is analyzed.","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":"128545006","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/SGSMA51733.2022.9806021
Ellen Förstner, Richard Jumar, O. Tanrikulu, H. Maass, U. Kühnapfel, V. Hagenmeyer
Fundamental frequency estimates are essential for control and monitoring purposes in power systems. Hence, many devices exist that report frequency values. Future power system dynamics call for accurate frequency estimates with high reporting rates and a detailed determination of the measurement uncertainty. For a sophisticated analysis, even the used estimation algorithm becomes increasingly important in order to interpret the results. In this context, we present the evaluation of the well-known zero-crossing technique. We apply dedicated test signals in a hardware-based measurement setup and determine the resulting error metrics. We highlight the importance of differentiating between steady-state and dynamic test conditions, propose steps for an enhanced error assessment, and suggest possible ways to reduce systematic errors. We successfully implement an approach to reduce systematic errors under dynamic conditions and thereby significantly improve the comparability of frequency estimates of the zero-crossing algorithm.
{"title":"Experimental Evaluation and Systematic-Error Reduction of Frequency Estimation Using the Zero-Crossing Technique for Dynamic Power Grids","authors":"Ellen Förstner, Richard Jumar, O. Tanrikulu, H. Maass, U. Kühnapfel, V. Hagenmeyer","doi":"10.1109/SGSMA51733.2022.9806021","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806021","url":null,"abstract":"Fundamental frequency estimates are essential for control and monitoring purposes in power systems. Hence, many devices exist that report frequency values. Future power system dynamics call for accurate frequency estimates with high reporting rates and a detailed determination of the measurement uncertainty. For a sophisticated analysis, even the used estimation algorithm becomes increasingly important in order to interpret the results. In this context, we present the evaluation of the well-known zero-crossing technique. We apply dedicated test signals in a hardware-based measurement setup and determine the resulting error metrics. We highlight the importance of differentiating between steady-state and dynamic test conditions, propose steps for an enhanced error assessment, and suggest possible ways to reduce systematic errors. We successfully implement an approach to reduce systematic errors under dynamic conditions and thereby significantly improve the comparability of frequency estimates of the zero-crossing algorithm.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"178 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":"123765192","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/SGSMA51733.2022.9805999
G. Gkiokas, D. Lagos, G. Korres, N. Hatziargyriou
The energy production of island systems relies on diesel generators, which are costly and environmentally polluting. Hybrid solutions, including renewable energy generators, energy storage units and advanced control methods can achieve very high penetration of renewables in such systems. Nevertheless, such solutions need to address the concerns that rise in the protection system due to replacement of synchronous generators with inverter based resources in the generation mix. Adaptive protection schemes can be used to address these concerns. The testing of these schemes is also crucial to evaluate their performance, build the trust of system operators in them or train personnel in smart protection system concepts. This work aims to address protection concerns in island systems, describe an adaptive protection scheme, using data from an actual island system, and finally propose an advanced hardware in the loop (HIL) test bed for testing and evaluation using industrial equipment.
{"title":"A hardware in the loop testbed for adaptive protection of non-inteconnected island systems with high RES penetration","authors":"G. Gkiokas, D. Lagos, G. Korres, N. Hatziargyriou","doi":"10.1109/SGSMA51733.2022.9805999","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9805999","url":null,"abstract":"The energy production of island systems relies on diesel generators, which are costly and environmentally polluting. Hybrid solutions, including renewable energy generators, energy storage units and advanced control methods can achieve very high penetration of renewables in such systems. Nevertheless, such solutions need to address the concerns that rise in the protection system due to replacement of synchronous generators with inverter based resources in the generation mix. Adaptive protection schemes can be used to address these concerns. The testing of these schemes is also crucial to evaluate their performance, build the trust of system operators in them or train personnel in smart protection system concepts. This work aims to address protection concerns in island systems, describe an adaptive protection scheme, using data from an actual island system, and finally propose an advanced hardware in the loop (HIL) test bed for testing and evaluation using industrial equipment.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"10 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":"123832850","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}
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