Pub Date : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808537
Ansaar Dada, E. Labouré, M. Bensetti, Xavier Yang, Benoit George, M. Caujolle
Power electronic-based non-linear devices inject harmonic current into the distribution grids they are connected to. Their injection depends on the preexisting distortions of their supply voltage and on the grid upstream impedances. Electromagnetic Transient (EMT) techniques capture quite accurately the non-linear relationships between the network and the device harmonic injections thanks to detailed time models. Their downsides are that detailed power electronic models are seldom available to grid operators, and when available, the simulations are time- and resource-consuming as new EMT simulations are required whenever the network conditions evolve. In recent years, machine learning metamodels (MLM) have been able to accurately predict the behavior of non-linear systems. We apply this approach to model harmonic sources in the frequency-domain and present in this paper how MLM accurately predict the harmonic currents of various devices. The proposed technique is validated over a database built with a series of EMT simulations performed with various voltage and impedance conditions.
{"title":"Machine Learning Metamodeling of Harmonic Sources in LV Distribution Networks","authors":"Ansaar Dada, E. Labouré, M. Bensetti, Xavier Yang, Benoit George, M. Caujolle","doi":"10.1109/ICHQP53011.2022.9808537","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808537","url":null,"abstract":"Power electronic-based non-linear devices inject harmonic current into the distribution grids they are connected to. Their injection depends on the preexisting distortions of their supply voltage and on the grid upstream impedances. Electromagnetic Transient (EMT) techniques capture quite accurately the non-linear relationships between the network and the device harmonic injections thanks to detailed time models. Their downsides are that detailed power electronic models are seldom available to grid operators, and when available, the simulations are time- and resource-consuming as new EMT simulations are required whenever the network conditions evolve. In recent years, machine learning metamodels (MLM) have been able to accurately predict the behavior of non-linear systems. We apply this approach to model harmonic sources in the frequency-domain and present in this paper how MLM accurately predict the harmonic currents of various devices. The proposed technique is validated over a database built with a series of EMT simulations performed with various voltage and impedance conditions.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123058673","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808635
M. Brenna, H. J. Kaleybar, F. Foiadelli, D. Zaninelli
Electric railway supplying systems (ERSSs) as one of the foremost and critical loads of the grid have been faced with power quality (PQ) issues all around the world. Due to the various PQ distortion types, and planned priorities, different mitigation methods have been introduced by experts over years and they have been updated based on the emergence of new power electronic-based technologies. These methods mainly deal with harmonic issues, low power factor, imbalance situations, transients, and variation phenomena. The main purpose of this paper is to classify and explain these mitigation technologies including their structure, application and features in detail, which can provide a useful perspective to researchers working in this area.
{"title":"Modern Power Quality Improvement Devices Applied to Electric Railway Systems","authors":"M. Brenna, H. J. Kaleybar, F. Foiadelli, D. Zaninelli","doi":"10.1109/ICHQP53011.2022.9808635","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808635","url":null,"abstract":"Electric railway supplying systems (ERSSs) as one of the foremost and critical loads of the grid have been faced with power quality (PQ) issues all around the world. Due to the various PQ distortion types, and planned priorities, different mitigation methods have been introduced by experts over years and they have been updated based on the emergence of new power electronic-based technologies. These methods mainly deal with harmonic issues, low power factor, imbalance situations, transients, and variation phenomena. The main purpose of this paper is to classify and explain these mitigation technologies including their structure, application and features in detail, which can provide a useful perspective to researchers working in this area.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"435 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122804973","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808742
Jiahao Xie, A. P. Sakis Meliopoulos, G. Cokkinides
Geomagnetically induced current (GIC) manifests its effects in electric power systems with DC current flow and characteristic harmonic signatures in the AC current. The harmonics generated from GIC will overheat transformers and other iron core circuits and increase reactive power consumption. We identify the major power devices affected by GIC and determine the modeling requirements for realistic assessment of GIC effects including harmonic signature during these events. Low frequency broadband transmission line models, grounding models, and transformer models with nonlinear reluctance in the magnetic circuit are developed and used for high fidelity simulations of power systems subjected to GIC. In addition, the DC component generated by GIC would introduce DC flux in iron cores instrument current transformers, leading to distorted magnetizing current and distorted output. The non-sinusoidal magnetizing current will increase significantly as the DC flux increases, leading to distortion in measurements. To reduce this distortion, a state estimation based method for instrumentation channel error correction is implemented, derived from the detailed modeling of the instrumentation channel. The method reduces the error from this distortion and recreates the primary quantities with high fidelity. The risk of relay misoperation due to errors in measurements is drastically reduced. Based on the result of harmonic signature analysis, a detection and protection scheme for GIC is proposed and simulated. The detection is based on the characteristic harmonic signature consisting of odd- and evenorder harmonics; the control consists of the insertion of a grounding capacitor between transformer neutral and ground. The results show the proposed method is able to successfully detect the onset of GIC and protect the power system by drastically reducing the harmful harmonic components during GIC.
{"title":"Detection and Protection Against Geomagnetically Induced Current via Harmonic Signature Analysis","authors":"Jiahao Xie, A. P. Sakis Meliopoulos, G. Cokkinides","doi":"10.1109/ICHQP53011.2022.9808742","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808742","url":null,"abstract":"Geomagnetically induced current (GIC) manifests its effects in electric power systems with DC current flow and characteristic harmonic signatures in the AC current. The harmonics generated from GIC will overheat transformers and other iron core circuits and increase reactive power consumption. We identify the major power devices affected by GIC and determine the modeling requirements for realistic assessment of GIC effects including harmonic signature during these events. Low frequency broadband transmission line models, grounding models, and transformer models with nonlinear reluctance in the magnetic circuit are developed and used for high fidelity simulations of power systems subjected to GIC. In addition, the DC component generated by GIC would introduce DC flux in iron cores instrument current transformers, leading to distorted magnetizing current and distorted output. The non-sinusoidal magnetizing current will increase significantly as the DC flux increases, leading to distortion in measurements. To reduce this distortion, a state estimation based method for instrumentation channel error correction is implemented, derived from the detailed modeling of the instrumentation channel. The method reduces the error from this distortion and recreates the primary quantities with high fidelity. The risk of relay misoperation due to errors in measurements is drastically reduced. Based on the result of harmonic signature analysis, a detection and protection scheme for GIC is proposed and simulated. The detection is based on the characteristic harmonic signature consisting of odd- and evenorder harmonics; the control consists of the insertion of a grounding capacitor between transformer neutral and ground. The results show the proposed method is able to successfully detect the onset of GIC and protect the power system by drastically reducing the harmful harmonic components during GIC.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125259683","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808674
M. Chiandone, S. Quaia, G. Sulligoi, A. Vicenzutti
Distribution systems are being pushed towards smarter architectures, management strategies, and controls. To develop new platforms and algorithms for distribution systems management, the University of Trieste is using its medium voltage MW-scale ring distribution system as a demonstrator. In addition to the installation of a real-time monitoring system, power system studies and analyses are required. The paper presents and compares some results concerning the power system operation in both closed (normal operation) and open (post fault operation) configurations, where the latter are identified by means of a quantitative dependability analysis. In particular, the voltage profile, the currents, and the losses in the system are studied, evaluating the impact of faults capable of opening the ring.
{"title":"Comparison Between Ring and Radial Configurations of the University of Trieste Campus MV Distribution Grid","authors":"M. Chiandone, S. Quaia, G. Sulligoi, A. Vicenzutti","doi":"10.1109/ICHQP53011.2022.9808674","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808674","url":null,"abstract":"Distribution systems are being pushed towards smarter architectures, management strategies, and controls. To develop new platforms and algorithms for distribution systems management, the University of Trieste is using its medium voltage MW-scale ring distribution system as a demonstrator. In addition to the installation of a real-time monitoring system, power system studies and analyses are required. The paper presents and compares some results concerning the power system operation in both closed (normal operation) and open (post fault operation) configurations, where the latter are identified by means of a quantitative dependability analysis. In particular, the voltage profile, the currents, and the losses in the system are studied, evaluating the impact of faults capable of opening the ring.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124761115","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808685
Paulo Victor Lopes Pires, Fabrício Carneiro Travassos, E. B. Kapisch, Leandro Rodrigues Manso Silva, C. Duque, Paulo Fernando Ribeiro
This paper presents an application of the Dynamic Time Warping (DTW) similarity metric in the detection of electrical disturbances in Power Quality (PQ) Signals. The DTW is a mathematical tool used to compare two vectors, generating a measure of similarity between them. The detection of disturbances is performed by comparing a reference vector (frame) with the frame under analysis. If the distance between the two frames exceeds a threshold value, a disturbance is detected. To assess the performance of the proposed application, the detection probability and the false alarm probability are evaluated with different threshold values, using the Receiver Operating Characteristic (ROC) curve. Tests are performed using Matlab® environment and the performance of the application is compared to another disturbance detection technique based on similarity present in the literature.
{"title":"Novelty Detection Based on Dynamic Time Warping Similarity Metric Applied to Power Quality Signals","authors":"Paulo Victor Lopes Pires, Fabrício Carneiro Travassos, E. B. Kapisch, Leandro Rodrigues Manso Silva, C. Duque, Paulo Fernando Ribeiro","doi":"10.1109/ICHQP53011.2022.9808685","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808685","url":null,"abstract":"This paper presents an application of the Dynamic Time Warping (DTW) similarity metric in the detection of electrical disturbances in Power Quality (PQ) Signals. The DTW is a mathematical tool used to compare two vectors, generating a measure of similarity between them. The detection of disturbances is performed by comparing a reference vector (frame) with the frame under analysis. If the distance between the two frames exceeds a threshold value, a disturbance is detected. To assess the performance of the proposed application, the detection probability and the false alarm probability are evaluated with different threshold values, using the Receiver Operating Characteristic (ROC) curve. Tests are performed using Matlab® environment and the performance of the application is compared to another disturbance detection technique based on similarity present in the literature.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133778189","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808629
Jayashree Yadav, A. Blanco, Jan Meyer, K. Vasudevan
This paper presents the analysis of the unbalance in voltage harmonics in low voltage networks. Data from 55 locations from 12 countries have been analysed to study the voltage harmonic unbalance. The locations are classified as industrial, commercial, residential and mix depending on the type of loads. Unbalance is calculated using individual and aggregated unbalance indices. The analysis has shown that the unbalance is present not only in fundamental voltage but also in harmonic voltages and is observed to be highest for triplen harmonics. Also, unbalance increases with the harmonic order. The survey suggests that while performing harmonic studies, unbalance in the harmonics should also be considered to have realistic results.
{"title":"International Survey on Voltage Harmonic Unbalance in Low Voltage Networks","authors":"Jayashree Yadav, A. Blanco, Jan Meyer, K. Vasudevan","doi":"10.1109/ICHQP53011.2022.9808629","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808629","url":null,"abstract":"This paper presents the analysis of the unbalance in voltage harmonics in low voltage networks. Data from 55 locations from 12 countries have been analysed to study the voltage harmonic unbalance. The locations are classified as industrial, commercial, residential and mix depending on the type of loads. Unbalance is calculated using individual and aggregated unbalance indices. The analysis has shown that the unbalance is present not only in fundamental voltage but also in harmonic voltages and is observed to be highest for triplen harmonics. Also, unbalance increases with the harmonic order. The survey suggests that while performing harmonic studies, unbalance in the harmonics should also be considered to have realistic results.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122604637","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808812
Stephan Scholtz, S. Kannan, Jan Meyer
Harmonic resonances are increasingly observed in various central European networks, which are impacted by complex parameters. This paper considers the impact of variation in both grid-side and customer-side parameters. The grid-side variations include a change in cable lengths and the distribution of customers. The customer-side variations include the time-dependent combination of various household appliances and the resulting unbalance. In this paper, comprehensive simulation studies in a residential low voltage network show that the resonance frequency remains predominantly constant at various locations for simultaneous variation in different network parameters.
{"title":"Harmonic Resonance Characteristics of a Residential Low Voltage Distribution Network Considering Typical Variations of Grid and Customer Characteristics","authors":"Stephan Scholtz, S. Kannan, Jan Meyer","doi":"10.1109/ICHQP53011.2022.9808812","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808812","url":null,"abstract":"Harmonic resonances are increasingly observed in various central European networks, which are impacted by complex parameters. This paper considers the impact of variation in both grid-side and customer-side parameters. The grid-side variations include a change in cable lengths and the distribution of customers. The customer-side variations include the time-dependent combination of various household appliances and the resulting unbalance. In this paper, comprehensive simulation studies in a residential low voltage network show that the resonance frequency remains predominantly constant at various locations for simultaneous variation in different network parameters.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114655282","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808711
M. Costea, T. Leonida
It is known that in the same network the harmonic level increases due to the extensive use of equipment based on electronics (lighting equipment which use drivers, switching-mode power supplies, dimmers, rectifiers, electrical drive systems etc.). At a given moment it is practically impossible to estimate the number of such devices working simultaneously. For these reasons the adequate assess of active losses is a great challenge. The paper presents a method to roughly estimate the active losses in a low voltage network supply and the causes that prevent the estimation with accuracy of these losses due to dynamic behavior of consumers.
{"title":"The Difficulty to accurately assess the Active Losses due to Harmonics","authors":"M. Costea, T. Leonida","doi":"10.1109/ICHQP53011.2022.9808711","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808711","url":null,"abstract":"It is known that in the same network the harmonic level increases due to the extensive use of equipment based on electronics (lighting equipment which use drivers, switching-mode power supplies, dimmers, rectifiers, electrical drive systems etc.). At a given moment it is practically impossible to estimate the number of such devices working simultaneously. For these reasons the adequate assess of active losses is a great challenge. The paper presents a method to roughly estimate the active losses in a low voltage network supply and the causes that prevent the estimation with accuracy of these losses due to dynamic behavior of consumers.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116231654","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808755
A. Bracale, P. Caramia, P. De Falco, G. Carpinelli
Waveform distortions are Power Quality (PQ) disturbances with harmful impacts on power system components, and planning engineers and system operators are deeply interested in new methodologies able to provide a support to limit this impact. The forecasting of PQ indices on voltage and current waveforms is nowadays considered one of the most important tools to provide this support. In this paper, probabilistic forecasting methodologies are proposed, investigated and compared to predict waveform distortion indices with different intervals. The Quantile Regression (QR) model is considered as the underlying forecasting model for predicting the considered PQ index level, and the Principal Component Analysis (PCA) is considered to mitigate the high dimensionality of the forecasting problem that could arise by exploiting data collected by dedicated PQ measurement systems. Numerical applications based on actual data and developed for different lead times give evidence of the suitability of the methodologies and the interest in the obtained results.
{"title":"Probabilistic Power Quality Level Forecasting through Quantile Regression Models","authors":"A. Bracale, P. Caramia, P. De Falco, G. Carpinelli","doi":"10.1109/ICHQP53011.2022.9808755","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808755","url":null,"abstract":"Waveform distortions are Power Quality (PQ) disturbances with harmful impacts on power system components, and planning engineers and system operators are deeply interested in new methodologies able to provide a support to limit this impact. The forecasting of PQ indices on voltage and current waveforms is nowadays considered one of the most important tools to provide this support. In this paper, probabilistic forecasting methodologies are proposed, investigated and compared to predict waveform distortion indices with different intervals. The Quantile Regression (QR) model is considered as the underlying forecasting model for predicting the considered PQ index level, and the Principal Component Analysis (PCA) is considered to mitigate the high dimensionality of the forecasting problem that could arise by exploiting data collected by dedicated PQ measurement systems. Numerical applications based on actual data and developed for different lead times give evidence of the suitability of the methodologies and the interest in the obtained results.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124114647","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 : 2022-05-29DOI: 10.1109/ICHQP53011.2022.9808696
A. Abdelsamad, J. Myrzik, E. Kaufhold, Jan Meyer, P. Schegner
Battery energy storage systems are a key enabling component for the transition from passive to active distribution grids. Therefore, the number of battery energy storage systems is expected to increase exponentially in the near future. As such systems consist of grid-side power electronic frontends, this increase drives the need for accurate harmonic models that can be used in power system studies to analyze the future impact on harmonic levels and harmonic stability. The aim of this study is to develop a measurement based black-box model of a single-phase commercial battery energy storage system in frequency domain. A comparison is made between harmonic characteristics in charging and discharging mode, which evaluates the requirement for different models for the two operating modes.
{"title":"Comparison of harmonic models for a commercial battery energy storage system in charging and discharging mode","authors":"A. Abdelsamad, J. Myrzik, E. Kaufhold, Jan Meyer, P. Schegner","doi":"10.1109/ICHQP53011.2022.9808696","DOIUrl":"https://doi.org/10.1109/ICHQP53011.2022.9808696","url":null,"abstract":"Battery energy storage systems are a key enabling component for the transition from passive to active distribution grids. Therefore, the number of battery energy storage systems is expected to increase exponentially in the near future. As such systems consist of grid-side power electronic frontends, this increase drives the need for accurate harmonic models that can be used in power system studies to analyze the future impact on harmonic levels and harmonic stability. The aim of this study is to develop a measurement based black-box model of a single-phase commercial battery energy storage system in frequency domain. A comparison is made between harmonic characteristics in charging and discharging mode, which evaluates the requirement for different models for the two operating modes.","PeriodicalId":249133,"journal":{"name":"2022 20th International Conference on Harmonics & Quality of Power (ICHQP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129850875","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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