Pub Date : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978833
G. Stamatescu, Radu Plamanescu, I. Ciornei, M. Albu
Deployment of high reporting rate smart metering infrastructure together with a multitude of sensors for automation and control are an increasing trend among energy communities and prosumers. These systems provide useful information for data-driven prediction and classification models for micro-loads and local power generation. Matrix Profile is a promising general purpose data mining technique for time series data, such as electrical measurements from advanced smart meters. In this work, we first describe the measurement context that provides rich data availability for current advanced energy analytics applications. We target power profiles for both generation and load to highlight salient and complementary characteristics thereof, which can be leveraged in applications involving data-driven analytics for enhancing observability in distribution grids. A sensitivity analysis investigating the chosen method under various input noise assumptions is presented using Monte Carlo simulation. The comparative results indicate the relative robustness of the Matrix Profile approach for anomaly detection tasks in energy measurements traces.
{"title":"Detection of Anomalies in Power Profiles using Data Analytics","authors":"G. Stamatescu, Radu Plamanescu, I. Ciornei, M. Albu","doi":"10.1109/AMPS55790.2022.9978833","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978833","url":null,"abstract":"Deployment of high reporting rate smart metering infrastructure together with a multitude of sensors for automation and control are an increasing trend among energy communities and prosumers. These systems provide useful information for data-driven prediction and classification models for micro-loads and local power generation. Matrix Profile is a promising general purpose data mining technique for time series data, such as electrical measurements from advanced smart meters. In this work, we first describe the measurement context that provides rich data availability for current advanced energy analytics applications. We target power profiles for both generation and load to highlight salient and complementary characteristics thereof, which can be leveraged in applications involving data-driven analytics for enhancing observability in distribution grids. A sensitivity analysis investigating the chosen method under various input noise assumptions is presented using Monte Carlo simulation. The comparative results indicate the relative robustness of the Matrix Profile approach for anomaly detection tasks in energy measurements traces.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128896214","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978847
Jian Song, Junhao Zhang, A. Mingotti, L. Peretto, H. Wen
The superiority of interpolated discrete Fourier transform (IpDFT) has been proven in frequency estimation. However, the effects of negative frequency and strong noise result in poor behavior when the length of the observation window is short. To this end, this paper proposes a novel twopoint IpDFT method for frequency estimation based on rectangular window and zero padding technique. The proposed method exploits the conjugate symmetry and parity of the unbiased signal model. This is done to eliminate both short and long-range spectral leakage caused by positive and negative frequencies. Besides, the impact of white noise can be maximally resisted by using the rectangular window and zero padding technique. Simulation results demonstrate that the proposed method outperforms existing interpolated DFT methods.
{"title":"Novel Two-Point Interpolation DFT Method for Frequency Estimation of Sine-Wave Within a Short Time Window","authors":"Jian Song, Junhao Zhang, A. Mingotti, L. Peretto, H. Wen","doi":"10.1109/AMPS55790.2022.9978847","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978847","url":null,"abstract":"The superiority of interpolated discrete Fourier transform (IpDFT) has been proven in frequency estimation. However, the effects of negative frequency and strong noise result in poor behavior when the length of the observation window is short. To this end, this paper proposes a novel twopoint IpDFT method for frequency estimation based on rectangular window and zero padding technique. The proposed method exploits the conjugate symmetry and parity of the unbiased signal model. This is done to eliminate both short and long-range spectral leakage caused by positive and negative frequencies. Besides, the impact of white noise can be maximally resisted by using the rectangular window and zero padding technique. Simulation results demonstrate that the proposed method outperforms existing interpolated DFT methods.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122388128","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978778
P. Pegoraro, C. Sitzia, Antonio Vincenzo Solinas, S. Sulis, C. Laurano, S. Toscani
Phasor Measurement Units (PMUs) may improve the line parameters estimation process, but the accuracy of the result suffers from all the elements of the PMU-based measurement chain. Systematic errors of instrument transformers can be included in the estimation model, but, in particular, current transformers are nonlinear and thus their modelling is not straightforward. In this regard, the paper analyzes the impact of current transformers on the line parameters estimation performance using a detailed description of the transformer behavior under different operating conditions.
{"title":"Impact of Current Transformers on Line Parameters Estimation based on Synchronized Measurements","authors":"P. Pegoraro, C. Sitzia, Antonio Vincenzo Solinas, S. Sulis, C. Laurano, S. Toscani","doi":"10.1109/AMPS55790.2022.9978778","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978778","url":null,"abstract":"Phasor Measurement Units (PMUs) may improve the line parameters estimation process, but the accuracy of the result suffers from all the elements of the PMU-based measurement chain. Systematic errors of instrument transformers can be included in the estimation model, but, in particular, current transformers are nonlinear and thus their modelling is not straightforward. In this regard, the paper analyzes the impact of current transformers on the line parameters estimation performance using a detailed description of the transformer behavior under different operating conditions.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130145490","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978795
P. Remigio-Carmona, J. D. L. Rosa, O. Florencias-Oliveros, José María Sierra Fernández, Manuel-Jesús Espinosa-Gavira, Javier Fernández-Morales, A. A. Pérez, J. C. P. Salas
The successive incorporation of distributed energy resources into the electrical network and the subsequent effect of non-linear loads have given rise to new types of electrical disturbances. Supply quality standards show their limitations if they are used as the only indicators, without the synergy of complementary tools that allow hybrid events to be detected. In this line, the contribution of new tools to visualize the state of the electrical network and to evaluate qualitatively and quantitatively the state of the network is situated. This paper reviews the state of the art in this context and, as a result, proposes a new tool for spatial visualization of supply quality based on a radar chart. Each of its vertices constitutes an index, among which indicators based on higher order statistics are included. Likewise, the non-linear combination of all the individual indices allows for a joint index, whose coefficients report the presence of a certain type of disturbance. Unlike other tools, the proposal focuses on monitoring the status of the network. The experimental results in a traditional socket allow establishing the behavior limits of the supply voltage for each indicator, allowing the user to establish their own zone of safe usability.
{"title":"Potential usages of EDA techniques for PQ analysis in modern instrumentation systems","authors":"P. Remigio-Carmona, J. D. L. Rosa, O. Florencias-Oliveros, José María Sierra Fernández, Manuel-Jesús Espinosa-Gavira, Javier Fernández-Morales, A. A. Pérez, J. C. P. Salas","doi":"10.1109/AMPS55790.2022.9978795","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978795","url":null,"abstract":"The successive incorporation of distributed energy resources into the electrical network and the subsequent effect of non-linear loads have given rise to new types of electrical disturbances. Supply quality standards show their limitations if they are used as the only indicators, without the synergy of complementary tools that allow hybrid events to be detected. In this line, the contribution of new tools to visualize the state of the electrical network and to evaluate qualitatively and quantitatively the state of the network is situated. This paper reviews the state of the art in this context and, as a result, proposes a new tool for spatial visualization of supply quality based on a radar chart. Each of its vertices constitutes an index, among which indicators based on higher order statistics are included. Likewise, the non-linear combination of all the individual indices allows for a joint index, whose coefficients report the presence of a certain type of disturbance. Unlike other tools, the proposal focuses on monitoring the status of the network. The experimental results in a traditional socket allow establishing the behavior limits of the supply voltage for each indicator, allowing the user to establish their own zone of safe usability.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124850715","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978818
A. Gallarreta, I. Fernández, D. Ritzmann, S. Lodetti, V. Khokhlov, P. Wright, Jan Meyer, D. D. L. Vega
Devices connected to the low-voltage power grid generate disturbances that can cause malfunctions and thermal stress in the equipment connected to the mains or interference on power line communications. Currently, there is no normative method to measure the disturbances in the low voltage grid for the CISPR Band A (9-150 kHz). The Annex C of IEC 61000-4-30 Ed. 3 standard suggests three non-normative measurement methods, one of them is the method described in Annex B of IEC 61000-4-7for the 2-9 kHz range. This paper describes a proposal to adapt this method to the CISPR Band A: the RM-A method. This method aims at obtaining results of similar amplitude, with a higher granularity in the time domain, and avoiding a high computational burden due to the broader frequency range. Moreover, a more accurate detection of high-level short impulsive disturbances is obtained. The performance of the RM-A method is evaluated using a data set of recordings from the low voltage grid. The proposed method has been presented to IEC SC77A/WG9 as a first stage of a more complex method, for its potential inclusions in the IEC 61000-4-30 Ed. 4.
{"title":"Adaptation of the IEC 61000-4-7 Measurement Method to CISPR Band A (9-150 kHz)","authors":"A. Gallarreta, I. Fernández, D. Ritzmann, S. Lodetti, V. Khokhlov, P. Wright, Jan Meyer, D. D. L. Vega","doi":"10.1109/AMPS55790.2022.9978818","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978818","url":null,"abstract":"Devices connected to the low-voltage power grid generate disturbances that can cause malfunctions and thermal stress in the equipment connected to the mains or interference on power line communications. Currently, there is no normative method to measure the disturbances in the low voltage grid for the CISPR Band A (9-150 kHz). The Annex C of IEC 61000-4-30 Ed. 3 standard suggests three non-normative measurement methods, one of them is the method described in Annex B of IEC 61000-4-7for the 2-9 kHz range. This paper describes a proposal to adapt this method to the CISPR Band A: the RM-A method. This method aims at obtaining results of similar amplitude, with a higher granularity in the time domain, and avoiding a high computational burden due to the broader frequency range. Moreover, a more accurate detection of high-level short impulsive disturbances is obtained. The performance of the RM-A method is evaluated using a data set of recordings from the low voltage grid. The proposed method has been presented to IEC SC77A/WG9 as a first stage of a more complex method, for its potential inclusions in the IEC 61000-4-30 Ed. 4.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122415003","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978879
S. Kannan, Jan Meyer, P. Schegner
Harmonic resonance is increasingly observed in many European residential low-voltage networks, which can cause increased harmonic disturbance levels. An aggregated simulation model can be used to analyze the resonance phenomenon. Various literature has developed different frequency-domain aggregated representations of LV networks. But they are not realistic for harmonic resonance studies. To bridge this gap, a simulation model derived based on measurements aggregated at the low-voltage busbar of the supply transformer is proposed. The innovation proposed in this model includes an equivalent impedance circuit to represent the aggregated residential customer and background harmonic voltages obtained based on extensive field measurement campaign. The model is validated for its representativeness in harmonic resonance studies. An application example is provided to highlight the usefulness of the proposed model.
{"title":"A Measurement-based Aggregated Simulation Model of Residential LV networks for Harmonic Resonance Studies","authors":"S. Kannan, Jan Meyer, P. Schegner","doi":"10.1109/AMPS55790.2022.9978879","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978879","url":null,"abstract":"Harmonic resonance is increasingly observed in many European residential low-voltage networks, which can cause increased harmonic disturbance levels. An aggregated simulation model can be used to analyze the resonance phenomenon. Various literature has developed different frequency-domain aggregated representations of LV networks. But they are not realistic for harmonic resonance studies. To bridge this gap, a simulation model derived based on measurements aggregated at the low-voltage busbar of the supply transformer is proposed. The innovation proposed in this model includes an equivalent impedance circuit to represent the aggregated residential customer and background harmonic voltages obtained based on extensive field measurement campaign. The model is validated for its representativeness in harmonic resonance studies. An application example is provided to highlight the usefulness of the proposed model.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126476832","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978895
A. Arumugam, G. Cipolletta, A. D. Femine, D. Gallo, C. Landi, M. Luiso
The developments in the implementation and utilization of batteries in the electric vehicles has gained significance in the recent years. These energy storage devices find an essential role in the electric vehicles owing to its cost-effective and ecofriendly issues. The batteries chosen for the electric vehicle applications must be optimum, such that they are reliable in performance by delivering the desired efficiency with a minimum cost expenditure. To achieve the optimum performance, accurate battery model designs are essential. Numerous model designs haven been proposed to meet the requirements of the optimum design criteria. The battery storage system is a preferable choice for energy storage management and finds an extensive application in power system measurements. This study compares the two basic preliminary model designs of electric batteries to meet the initial requirements in the battery selection process. The two models considered for the study are the Modified Shepherd’s model and the Internal Resistance model. The study compares the performance and validates the two models based on the experimental results using statistical error analysis techniques. The various parameters involved in the models are estimated and an empirical relation is deduced for each of them.
{"title":"Comparative Analysis and Validation of Basic Battery Models for Electric Vehicles Applications","authors":"A. Arumugam, G. Cipolletta, A. D. Femine, D. Gallo, C. Landi, M. Luiso","doi":"10.1109/AMPS55790.2022.9978895","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978895","url":null,"abstract":"The developments in the implementation and utilization of batteries in the electric vehicles has gained significance in the recent years. These energy storage devices find an essential role in the electric vehicles owing to its cost-effective and ecofriendly issues. The batteries chosen for the electric vehicle applications must be optimum, such that they are reliable in performance by delivering the desired efficiency with a minimum cost expenditure. To achieve the optimum performance, accurate battery model designs are essential. Numerous model designs haven been proposed to meet the requirements of the optimum design criteria. The battery storage system is a preferable choice for energy storage management and finds an extensive application in power system measurements. This study compares the two basic preliminary model designs of electric batteries to meet the initial requirements in the battery selection process. The two models considered for the study are the Modified Shepherd’s model and the Internal Resistance model. The study compares the performance and validates the two models based on the experimental results using statistical error analysis techniques. The various parameters involved in the models are estimated and an empirical relation is deduced for each of them.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130713089","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978743
Yljon Seferi, Arshad, M. Syed, G. Burt, B. Stewart
Impulsive transients in power systems can stress the state of electrical insulation of equipment. Knowledge of signal characteristics is of paramount importance to accurately assess their impact on electrical insulation. This paper investigates the effect of sampling rate and sensor bandwidth on capturing high-frequency transient disturbances and their characteristics in laboratory-scale LV AC and DC systems to increase the understanding of their impact on electrical insulation. Two measurement systems of different bandwidths and configurable sampling rates, up to 500 kS/s and up to 250 MS/s, have been used in parallel to capture and compare the high-frequency transient phenomenon in voltage signals following DC series electric arc faults and the AC output of a bi-directional power converter. The presence of unknown high-frequency transient signals of magnitudes more than 10% and more than 600% with respect to the considered voltage of the system were found to exist in AC and DC recorded signals, respectively. Three dependency curves relating the maximum voltage, the rate-of-rise, and the pulse duration of the transients to different sampling rates are experimentally established to provide an improved appreciation of transient characteristics and a better correlation of their impact on the electrical insulation systems.
{"title":"Effect of Sampling Rate and Sensor Bandwidth on Measured Transient Signals in LV AC and DC Power Systems","authors":"Yljon Seferi, Arshad, M. Syed, G. Burt, B. Stewart","doi":"10.1109/AMPS55790.2022.9978743","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978743","url":null,"abstract":"Impulsive transients in power systems can stress the state of electrical insulation of equipment. Knowledge of signal characteristics is of paramount importance to accurately assess their impact on electrical insulation. This paper investigates the effect of sampling rate and sensor bandwidth on capturing high-frequency transient disturbances and their characteristics in laboratory-scale LV AC and DC systems to increase the understanding of their impact on electrical insulation. Two measurement systems of different bandwidths and configurable sampling rates, up to 500 kS/s and up to 250 MS/s, have been used in parallel to capture and compare the high-frequency transient phenomenon in voltage signals following DC series electric arc faults and the AC output of a bi-directional power converter. The presence of unknown high-frequency transient signals of magnitudes more than 10% and more than 600% with respect to the considered voltage of the system were found to exist in AC and DC recorded signals, respectively. Three dependency curves relating the maximum voltage, the rate-of-rise, and the pulse duration of the transients to different sampling rates are experimentally established to provide an improved appreciation of transient characteristics and a better correlation of their impact on the electrical insulation systems.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130455249","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978840
Federica Costa, A. Mingotti, L. Peretto, R. Tinarelli
Power network stability is a goal that all system operators try to achieve during their daily management. However, the recent spread of renewable energy sources obstacles such a goal. This is mainly due to the replacement of synchronous machines with static-conversion-based ones. Consequently, the grid is now experiencing (i) lower levels of inertia that help during anomalous operations; (ii) lower predictability of the power generation. As for inertia, it is becoming, day after day, a critical parameter used to assess the network's capability to sustain power/frequency variations, due to faults or disturbances. Therefore, system operators are more and more relying on such parameter for implementing their countermeasures. However, the inertia accuracy assessment is still an open issue, and it is seldom associated with the inertia estimates. To this purpose, this paper tries to quantify the uncertainty to be associated with inertia. This is done starting from its definition and the main uncertainty contributions. To achieve this goal, the Monte Carlo method is applied to realistic scenarios. From the results, it clearly emerges the importance of running rigorous uncertainty analysis. This is particularly true for those critical parameters like inertia.
{"title":"A Simple Approach to Quantify Accuracy of Power Systems Inertia","authors":"Federica Costa, A. Mingotti, L. Peretto, R. Tinarelli","doi":"10.1109/AMPS55790.2022.9978840","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978840","url":null,"abstract":"Power network stability is a goal that all system operators try to achieve during their daily management. However, the recent spread of renewable energy sources obstacles such a goal. This is mainly due to the replacement of synchronous machines with static-conversion-based ones. Consequently, the grid is now experiencing (i) lower levels of inertia that help during anomalous operations; (ii) lower predictability of the power generation. As for inertia, it is becoming, day after day, a critical parameter used to assess the network's capability to sustain power/frequency variations, due to faults or disturbances. Therefore, system operators are more and more relying on such parameter for implementing their countermeasures. However, the inertia accuracy assessment is still an open issue, and it is seldom associated with the inertia estimates. To this purpose, this paper tries to quantify the uncertainty to be associated with inertia. This is done starting from its definition and the main uncertainty contributions. To achieve this goal, the Monte Carlo method is applied to realistic scenarios. From the results, it clearly emerges the importance of running rigorous uncertainty analysis. This is particularly true for those critical parameters like inertia.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"485 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122747311","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 : 2022-09-28DOI: 10.1109/AMPS55790.2022.9978800
D. Franković, S. Vlahinić, Marijana Živić Ðurović
Estimation of line parameters is a mathematically demanding process that depends on constructional characteristics and surrounding environment. Modern transmission systems and smart grids require the most efficient methodology for line parameters estimation where dynamic system behaviour and time-dependent parameters have to be taken into account. The least squares method is one of the most important family of methods which are widely used for processing experimentally obtained data. Different variants of least squares methods for transmission line parameters are proposed in literature. Most of the methods proposed are tested on simulated data, adding noise and/or systematic bias to measured quantities.In this paper, three different least squares methods, ordinary least squares, improved ordinary least squares and total least squares, are analysed and applied to real measurement data from two 220 kV lines. Results of parameter estimation are compared to classical measurement solutions. Only the ordinary least squares method produces satisfactory results for analysed cases.
{"title":"Application of Different Least Square Methods for Transmission Line Parameter Estimation","authors":"D. Franković, S. Vlahinić, Marijana Živić Ðurović","doi":"10.1109/AMPS55790.2022.9978800","DOIUrl":"https://doi.org/10.1109/AMPS55790.2022.9978800","url":null,"abstract":"Estimation of line parameters is a mathematically demanding process that depends on constructional characteristics and surrounding environment. Modern transmission systems and smart grids require the most efficient methodology for line parameters estimation where dynamic system behaviour and time-dependent parameters have to be taken into account. The least squares method is one of the most important family of methods which are widely used for processing experimentally obtained data. Different variants of least squares methods for transmission line parameters are proposed in literature. Most of the methods proposed are tested on simulated data, adding noise and/or systematic bias to measured quantities.In this paper, three different least squares methods, ordinary least squares, improved ordinary least squares and total least squares, are analysed and applied to real measurement data from two 220 kV lines. Results of parameter estimation are compared to classical measurement solutions. Only the ordinary least squares method produces satisfactory results for analysed cases.","PeriodicalId":253296,"journal":{"name":"2022 IEEE 12th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125235745","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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