Pub Date : 2022-05-24DOI: 10.1109/SGSMA51733.2022.9806017
M. Farrokhifard, Gang Zheng, M. Parashar, V. Sukhavasi
In this paper, a practical model for the problem of Optimal PMU Placement (OPP) is proposed. Most of the well-studied OPP models have been developed based on the standard small test systems with minimum focus on the practical points of view and implementation challenges. Therefore, the practical points of view such as phased installation of PMUs based on voltage levels, buses preconditioning, PMUs outage contingencies, etc., are considered in this paper to modify the problem objective function and constraints and improve the model. A practical implementation for this model is also proposed in the paper. The proposed model and implementation are tested in multiple small- and large-scale test systems such as IEEE 14-, 30-, 57-, 118-, and 300-bus test systems as well as WECC 240-bus test system. Five test cases are designed to reflect different practical conditions in the OPP problem. Results of different case studies on different test systems confirm that the proposed model and implementation not only cover the practical scenarios, but also improve the performance in terms of minimizing the number of PMUs in some scenarios for large-scale systems.
{"title":"A Practical Model for Optimal PMU Placement","authors":"M. Farrokhifard, Gang Zheng, M. Parashar, V. Sukhavasi","doi":"10.1109/SGSMA51733.2022.9806017","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806017","url":null,"abstract":"In this paper, a practical model for the problem of Optimal PMU Placement (OPP) is proposed. Most of the well-studied OPP models have been developed based on the standard small test systems with minimum focus on the practical points of view and implementation challenges. Therefore, the practical points of view such as phased installation of PMUs based on voltage levels, buses preconditioning, PMUs outage contingencies, etc., are considered in this paper to modify the problem objective function and constraints and improve the model. A practical implementation for this model is also proposed in the paper. The proposed model and implementation are tested in multiple small- and large-scale test systems such as IEEE 14-, 30-, 57-, 118-, and 300-bus test systems as well as WECC 240-bus test system. Five test cases are designed to reflect different practical conditions in the OPP problem. Results of different case studies on different test systems confirm that the proposed model and implementation not only cover the practical scenarios, but also improve the performance in terms of minimizing the number of PMUs in some scenarios for large-scale systems.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"42 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":"120915429","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/SGSMA51733.2022.9805855
T. Babnik, B. Mahkovec, S. Subotić
The European Union (EU) network code "Requirements for Generators" regulates the Limited Frequency Sensitive Mode – Overfrequency (LFSM-O). This mode is the basis for overfrequency protection (OFP) and refers to the effect achieved through turbine generator at certain over-frequencies to reduce active power of production units, according to the given droop settings. On the other hand, the network code "Emergency and Restoration" allows for the OFP to be introduced alternatively by an automatic overfrequency control scheme.The problem arises with transmission system operators (TSOs) having generators without installed LFSM-O systems. Such an example was highlighted in the framework of the European project H2020 CROSSBOW in the Serbian TSO. In this project, Elektromreža Srbije proposed possible technical solutions for overfrequency protection system which meet the above network code requirements on emergency and restoration.This paper presents the concept of a system for centralized overfrequency protection dynamic setting for generators, which was proposed and implemented within the CROSSBOW project. The system is based on information from PMUs/WAMS and SCADA systems. The proposed technical solution is implemented in the WAProtector™ system and has been in operation since April 2021.The purpose of generator overfrequency dynamic settings is ensuring the stable operation of the power system in case of power frequency over the permissible limits with solutions requiring small financial investments and implementation based on existing systems.
{"title":"Centralised system for overfrequency real-time dynamic settings for generators","authors":"T. Babnik, B. Mahkovec, S. Subotić","doi":"10.1109/SGSMA51733.2022.9805855","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9805855","url":null,"abstract":"The European Union (EU) network code \"Requirements for Generators\" regulates the Limited Frequency Sensitive Mode – Overfrequency (LFSM-O). This mode is the basis for overfrequency protection (OFP) and refers to the effect achieved through turbine generator at certain over-frequencies to reduce active power of production units, according to the given droop settings. On the other hand, the network code \"Emergency and Restoration\" allows for the OFP to be introduced alternatively by an automatic overfrequency control scheme.The problem arises with transmission system operators (TSOs) having generators without installed LFSM-O systems. Such an example was highlighted in the framework of the European project H2020 CROSSBOW in the Serbian TSO. In this project, Elektromreža Srbije proposed possible technical solutions for overfrequency protection system which meet the above network code requirements on emergency and restoration.This paper presents the concept of a system for centralized overfrequency protection dynamic setting for generators, which was proposed and implemented within the CROSSBOW project. The system is based on information from PMUs/WAMS and SCADA systems. The proposed technical solution is implemented in the WAProtector™ system and has been in operation since April 2021.The purpose of generator overfrequency dynamic settings is ensuring the stable operation of the power system in case of power frequency over the permissible limits with solutions requiring small financial investments and implementation based on existing systems.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"29 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":"116043119","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/SGSMA51733.2022.9805996
A. Popov, Dmitry M. Dubinin, A. Mokeev, K. Butin, A. Rodionov, S. Piskunov
The current state of the synchrophasor measurement (SPM) technology opens up new possibilities for analyzing the operating modes of power systems. One of the most important applications of processing the SPM data is monitoring of the power system oscillatory stability. It includes the analysis of low-frequency oscillations (LFO). The problem of detecting the source of LFO is one of the most urgent. This paper considers the methods for detecting the LFO source. One of them estimates the quantity and direction of the flow of oscillation energy. Another one compares the amplitude-phase characteristics of the processed signals. Examples of real LFO in the Russian power system, given in the paper, illustrate various aspects of the analysis. The research proposes ways to improve the methods of analysis of the LFO based on the ideas about the structure of the phasor measurement units signals.
{"title":"Examples of processing low-frequency oscillations in Russia and ways to improve the analysis","authors":"A. Popov, Dmitry M. Dubinin, A. Mokeev, K. Butin, A. Rodionov, S. Piskunov","doi":"10.1109/SGSMA51733.2022.9805996","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9805996","url":null,"abstract":"The current state of the synchrophasor measurement (SPM) technology opens up new possibilities for analyzing the operating modes of power systems. One of the most important applications of processing the SPM data is monitoring of the power system oscillatory stability. It includes the analysis of low-frequency oscillations (LFO). The problem of detecting the source of LFO is one of the most urgent. This paper considers the methods for detecting the LFO source. One of them estimates the quantity and direction of the flow of oscillation energy. Another one compares the amplitude-phase characteristics of the processed signals. Examples of real LFO in the Russian power system, given in the paper, illustrate various aspects of the analysis. The research proposes ways to improve the methods of analysis of the LFO based on the ideas about the structure of the phasor measurement units signals.","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":"128480091","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/SGSMA51733.2022.9806009
R. Hunt, Sean D. Kantra, D. Novosel, J. R. Aguero, Dan Dietmeyer, Tariq Rahman
Rapid changes to the distribution system are being driven by distributed energy resources, microgrids, and electric vehicles, requiring improvements in the operation, monitoring, and protection of the distribution system. Synchronized measurements from the distribution system are very beneficial in improving the performance of the distribution system as it is faced with these changes. This paper evaluates benefits and costs of the technology and describes a roadmap for the development of applications, infrastructure, and processes, as well as key success factors for adoption of synchronized measurements in the distribution system.
{"title":"Roadmap for Distribution Synchronized Measurements","authors":"R. Hunt, Sean D. Kantra, D. Novosel, J. R. Aguero, Dan Dietmeyer, Tariq Rahman","doi":"10.1109/SGSMA51733.2022.9806009","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806009","url":null,"abstract":"Rapid changes to the distribution system are being driven by distributed energy resources, microgrids, and electric vehicles, requiring improvements in the operation, monitoring, and protection of the distribution system. Synchronized measurements from the distribution system are very beneficial in improving the performance of the distribution system as it is faced with these changes. This paper evaluates benefits and costs of the technology and describes a roadmap for the development of applications, infrastructure, and processes, as well as key success factors for adoption of synchronized measurements in the distribution system.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"76 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":"128609752","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/SGSMA51733.2022.9805848
A. Zhukov, Evgeny Satsuk, D. Dubinin, V. Vasilev
The article considers a new approach to the online analysis of oscillatory processes in the power system according to the WAMS data, based on the assessment of changes in the kinetic energy of oscillations of moving masses of power plants. Energy analysis allows not only to determine the source of oscillations, but also to assess the oscillation stability and, if necessary, the magnitude of the control action to prevent a possible violation of stability. The practical results of the energy analysis of oscillatory processes in the power system are presented.
{"title":"Monitoring of the dynamics of changes in the kinetic energy of power plants to improve the reliability of power system control","authors":"A. Zhukov, Evgeny Satsuk, D. Dubinin, V. Vasilev","doi":"10.1109/SGSMA51733.2022.9805848","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9805848","url":null,"abstract":"The article considers a new approach to the online analysis of oscillatory processes in the power system according to the WAMS data, based on the assessment of changes in the kinetic energy of oscillations of moving masses of power plants. Energy analysis allows not only to determine the source of oscillations, but also to assess the oscillation stability and, if necessary, the magnitude of the control action to prevent a possible violation of stability. The practical results of the energy analysis of oscillatory processes in the power system are presented.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"212 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":"122146862","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/SGSMA51733.2022.9805854
Chujie Zeng, W. Qiu, Weikang Wang, Kaiqi Sun, Chang Chen, Yilu Liu
In the power grid, the frequency fundamentally indicates the health of the grid and shall stay within strict bounds to ensure reliable operation. Fluctuations arising from renewable energy sources pose an unprecedented challenge to the stability and quality of power grids. However, little research has been conducted regarding the difference between worldwide grids in terms of frequency. FNET/GridEye, as a wide-area monitoring system that collects frequency measurements from worldwide power grids, provides opportunities to study the characteristics of the worldwide grids. In this paper, 32 power grids, spreading over the world, are statistically analyzed and compared using 7-Month data. The presented cases reveal that the frequency distribution in most grids has strong non-Gaussian characteristics. Moreover, three categories of non-Gaussianity are proposed: multi-peak, skewed plateau, and heavy tail. Furthermore, these findings strongly suggest against assuming frequency distributions Gaussian prior to detailed investigation. The result should benefit future practice and research.
{"title":"Non-Gaussianity in Frequency Distribution: FNET/GridEye’s Observation of Worldwide Grids","authors":"Chujie Zeng, W. Qiu, Weikang Wang, Kaiqi Sun, Chang Chen, Yilu Liu","doi":"10.1109/SGSMA51733.2022.9805854","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9805854","url":null,"abstract":"In the power grid, the frequency fundamentally indicates the health of the grid and shall stay within strict bounds to ensure reliable operation. Fluctuations arising from renewable energy sources pose an unprecedented challenge to the stability and quality of power grids. However, little research has been conducted regarding the difference between worldwide grids in terms of frequency. FNET/GridEye, as a wide-area monitoring system that collects frequency measurements from worldwide power grids, provides opportunities to study the characteristics of the worldwide grids. In this paper, 32 power grids, spreading over the world, are statistically analyzed and compared using 7-Month data. The presented cases reveal that the frequency distribution in most grids has strong non-Gaussian characteristics. Moreover, three categories of non-Gaussianity are proposed: multi-peak, skewed plateau, and heavy tail. Furthermore, these findings strongly suggest against assuming frequency distributions Gaussian prior to detailed investigation. The result should benefit future practice and research.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"132 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":"124270712","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/SGSMA51733.2022.9805849
G. Frigo, M. Agustoni
Based on the IEC Std 61850, electrical substations are transitioning towards a fully-digital paradigm for data acquisition and processing. In the near future, many monitoring and control applications are expected to operate based mainly on digital inputs. To this end, a crucial role will be played by the Low Power Instrument Transformer (LPIT) whose output is formatted as Sampled Value (SV) data packets according to the recent IEC Std 61850-9-2. In this paper, the metrological performance of a commercial LPIT is fully characterized not only in stationary conditions, but also in dynamic and distorted tests, inspired by the IEC Std 60255-118-1 for synchrophasor measurements and by real-world datasets of power systems characterized by reduced inertia. Based on the obtained results, considerations are drawn in respect of possible applications of SV data streams in measurement applications.
{"title":"Characterization of a Low Power Instrument Transformer with Digital Output in Low-Inertia Power Systems","authors":"G. Frigo, M. Agustoni","doi":"10.1109/SGSMA51733.2022.9805849","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9805849","url":null,"abstract":"Based on the IEC Std 61850, electrical substations are transitioning towards a fully-digital paradigm for data acquisition and processing. In the near future, many monitoring and control applications are expected to operate based mainly on digital inputs. To this end, a crucial role will be played by the Low Power Instrument Transformer (LPIT) whose output is formatted as Sampled Value (SV) data packets according to the recent IEC Std 61850-9-2. In this paper, the metrological performance of a commercial LPIT is fully characterized not only in stationary conditions, but also in dynamic and distorted tests, inspired by the IEC Std 60255-118-1 for synchrophasor measurements and by real-world datasets of power systems characterized by reduced inertia. Based on the obtained results, considerations are drawn in respect of possible applications of SV data streams in measurement applications.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"25 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":"117196003","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/SGSMA51733.2022.9806014
J. Cepeda, Ignacio Gómez, Fabián Calero, Angel Vaca
After a perturbation, the generators shift their operating condition in search of new equilibrium states (steady states), overpassing a dynamic .state (which should be transitory), characterized by power and frequency oscillations. Oscillations are marked by the so-called oscillation modes that are determined by three fundamental parameters: Amplitude (MW), Frequency (Hz), and Damping Ratio (%). These oscillatory modes can be estimated in real-time using modal estimation algorithms applied to signals recorded by Phasor Measurement Units (PMUs) within a Wide Area Monitoring System (WAMS). These estimations are made each time a new sample arrives, so they do not provide predictions of the future status of oscillatory stability. However, an aspect of relevance in the operation of electric power systems is the need for the operator to have "early warnings" that allow him to make decisions sufficiently in advance to carry out control actions. In this sense, it is necessary to have short-term prediction mechanisms (a few seconds in the future) of the modal analysis results, which allow the operator to anticipate the evolution of the operating state to predictively evaluate the oscillatory stability of the system. In this sense, a Big Data platform to analyze the streaming data that comes from WAMS, being capable of analyzing the data from the modal estimation and performing a predictive evaluation, automatically, of the oscillatory stability status, is proposed. Therefore, this work presents the platform's key implementation aspects, which are based on Data Management Technologies (Cassandra), together with a Data Analytics software (Python), in which a time series regressor is trained based on recurrent neural networks (RNN). This methodology is applied to the Ecuadorian Electric Power System, taking advantage of its WAMS platform WAProtector.
{"title":"Big Data Platform for Real-Time Oscillatory Stability Predictive Assessment Using Recurrent Neural Networks and WAProtector's Records","authors":"J. Cepeda, Ignacio Gómez, Fabián Calero, Angel Vaca","doi":"10.1109/SGSMA51733.2022.9806014","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806014","url":null,"abstract":"After a perturbation, the generators shift their operating condition in search of new equilibrium states (steady states), overpassing a dynamic .state (which should be transitory), characterized by power and frequency oscillations. Oscillations are marked by the so-called oscillation modes that are determined by three fundamental parameters: Amplitude (MW), Frequency (Hz), and Damping Ratio (%). These oscillatory modes can be estimated in real-time using modal estimation algorithms applied to signals recorded by Phasor Measurement Units (PMUs) within a Wide Area Monitoring System (WAMS). These estimations are made each time a new sample arrives, so they do not provide predictions of the future status of oscillatory stability. However, an aspect of relevance in the operation of electric power systems is the need for the operator to have \"early warnings\" that allow him to make decisions sufficiently in advance to carry out control actions. In this sense, it is necessary to have short-term prediction mechanisms (a few seconds in the future) of the modal analysis results, which allow the operator to anticipate the evolution of the operating state to predictively evaluate the oscillatory stability of the system. In this sense, a Big Data platform to analyze the streaming data that comes from WAMS, being capable of analyzing the data from the modal estimation and performing a predictive evaluation, automatically, of the oscillatory stability status, is proposed. Therefore, this work presents the platform's key implementation aspects, which are based on Data Management Technologies (Cassandra), together with a Data Analytics software (Python), in which a time series regressor is trained based on recurrent neural networks (RNN). This methodology is applied to the Ecuadorian Electric Power System, taking advantage of its WAMS platform WAProtector.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"44 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":"126475988","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/SGSMA51733.2022.9805846
M. R. Jegarluei, Jesús Sánchez Cortés, S. Azizi, V. Terzija
The proliferation of advanced metering devices such as phasor measurement units (PMUs) along with communication systems readiness has opened new horizons for centralized protection and control of power systems. Wide-area event identification (WAEI) is deemed an indispensable enabling block to these advanced applications. This paper is aimed at scrutinizing existing WAEI methods and discussing their prospects and shortcomings in improving situational awareness on complex power systems. The disturbances of interest are those that significantly impact system operation and stability, namely short-circuit faults, line outages, and generation outages. The reluctance of system operators to entrust WAEI methods is discussed and linked to the inability of these methods in dealing with real-world challenges such as communication latencies, temporarily incomplete network observability, and the loss of the time synchronization signal. The superimposed-circuit concept is detailed and promoted as a powerful methodology with great unleashed potential for addressing these problems. The paper ends with remarks on the research gaps that need to be addressed to fulfill the needs of power system operators, thus facilitating the uptake of WAEI methods in practice.
{"title":"Wide-Area Event Identification in Power Systems: A Review of the State-of-the-Art","authors":"M. R. Jegarluei, Jesús Sánchez Cortés, S. Azizi, V. Terzija","doi":"10.1109/SGSMA51733.2022.9805846","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9805846","url":null,"abstract":"The proliferation of advanced metering devices such as phasor measurement units (PMUs) along with communication systems readiness has opened new horizons for centralized protection and control of power systems. Wide-area event identification (WAEI) is deemed an indispensable enabling block to these advanced applications. This paper is aimed at scrutinizing existing WAEI methods and discussing their prospects and shortcomings in improving situational awareness on complex power systems. The disturbances of interest are those that significantly impact system operation and stability, namely short-circuit faults, line outages, and generation outages. The reluctance of system operators to entrust WAEI methods is discussed and linked to the inability of these methods in dealing with real-world challenges such as communication latencies, temporarily incomplete network observability, and the loss of the time synchronization signal. The superimposed-circuit concept is detailed and promoted as a powerful methodology with great unleashed potential for addressing these problems. The paper ends with remarks on the research gaps that need to be addressed to fulfill the needs of power system operators, thus facilitating the uptake of WAEI methods in practice.","PeriodicalId":256954,"journal":{"name":"2022 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA)","volume":"40 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":"134214653","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/SGSMA51733.2022.9806015
J. Quiroz, Carlos Fuentes, H. Chávez
The current transition from synchronous to power electronics-based generation has led to important concerns in power systems operation, particularly on the reduction of natural frequency response from synchronous machines. These concerns have increased the interest in monitoring and estimating the overall frequency response of power systems, which has been centered in the response of generators that comprises most of system response. However, the load frequency response has been overlooked as its contribution is not as significant as that of generators, and also because of the large amount of individual loads within a power system that are challenging to monitor. This paper reports the load frequency response in the case of Chile, considering SCADA and Syncrophasor data. A set of representative loads is considered to evaluate the frequency response and extrapolate this behavior to assess the overall load frequency response.
{"title":"Load Frequency Response in The Chilean Power System","authors":"J. Quiroz, Carlos Fuentes, H. Chávez","doi":"10.1109/SGSMA51733.2022.9806015","DOIUrl":"https://doi.org/10.1109/SGSMA51733.2022.9806015","url":null,"abstract":"The current transition from synchronous to power electronics-based generation has led to important concerns in power systems operation, particularly on the reduction of natural frequency response from synchronous machines. These concerns have increased the interest in monitoring and estimating the overall frequency response of power systems, which has been centered in the response of generators that comprises most of system response. However, the load frequency response has been overlooked as its contribution is not as significant as that of generators, and also because of the large amount of individual loads within a power system that are challenging to monitor. This paper reports the load frequency response in the case of Chile, considering SCADA and Syncrophasor data. A set of representative loads is considered to evaluate the frequency response and extrapolate this behavior to assess the overall load frequency response.","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":"123407052","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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