G. Stamatescu, I. Ciornei, Radu Plamanescu, A. Dumitrescu, M. Albu
{"title":"Reporting Interval Impact on Deep Residential Energy Measurement Prediction","authors":"G. Stamatescu, I. Ciornei, Radu Plamanescu, A. Dumitrescu, M. Albu","doi":"10.1109/AMPS50177.2021.9586023","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586023","url":null,"abstract":"Forecasting and anomaly detection for energy time series is emerging as an important application area for computational intelligence and learning algorithms. The training of robust data-driven models relies on large measurement datasets sampled at ever increasing rates. Thus, they demand large computational and storage resources for off-line power quality analysis and for on-line control in energy management schemes. We analyze the impact of the reporting interval of energy measurements on deep learning based forecasting models in a residential scenario. The work is also motivated by the development of embedded energy gateways for online inference and anomaly detection that avoid the dependence on costly, high-latency, cloud systems for data storage and algorithm evaluation. This, in turn, requires increased local computation and memory requirements to generate predictions within the control sampling period. We report quantitative forecasting metrics to establish an empirical trade-off between reporting interval and model accuracy. Additional results consider the time scale variable feature extraction using a time series data mining algorithm for multi-scale analytics.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127080527","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}
{"title":"Non-invasive Magnetic Sensors for Measurement of Current Phasors in Power Systems: Calibration and Validation","authors":"Prasad Shrawane, T. Sidhu","doi":"10.1109/AMPS50177.2021.9586018","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586018","url":null,"abstract":"Real-time current monitoring is essential for precisely monitoring the state of power grid and also for detecting faults leading to more reliability and dependability. The advances in magnetic sensors research offer accuracy in measurement systems at less complexity in installation and maintenance with less cost. Anisotropic magnetoresistive (MR) sensor can be used to measure the AC current by sensing the magnetic field generated by the current carrying conductor. This can be achieved without touching the conductor or surrounding the sensor like conventional current transformers. This paper describes a novel method of current phasor measurement with the help of a low-cost, broadband and high-sensitivity Tunneling Magnetoresistance (TMR) sensor for AC current measurement. Based on the measurements from experiment for single phase, a detail analysis for calibration and validation of the sensor is performed. The accuracy in measurement is achieved by applying various conditions such as varying distances from the conductor and frequencies from 60Hz to fifth harmonic. Satisfactory results are obtained and are presented in this paper.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114592529","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}
{"title":"Compensating the Harmonic Distortion Introduced by Instrument Transformers: An Improved Method Based on Frequency-Domain Polynomials","authors":"M. Faifer, C. Laurano, R. Ottoboni, S. Toscani","doi":"10.1109/AMPS50177.2021.9586015","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586015","url":null,"abstract":"Monitoring harmonic components has paramount importance in modern distribution grids characterized by a strong penetration of nonlinear, power electronics-based devices. In this respect, the accuracy of harmonic assessment is heavily affected by the performance of instrument transformers, which depends also on their nonlinear behavior. This paper proposes an improved technique that enables an accurate reconstruction of primary harmonics from the secondary side. The method is based on polynomial modeling and compensation of harmonic distortion, which is the strongest nonlinear effect at low-order harmonics. The structure is extremely flexible, so that it can be tailored to reach the best tradeoff between performance and complexity, while avoiding overparametrization.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132326712","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}
M. Olivan, Alfonso Mareca, Joan Bruna, David Cervero
{"title":"An IEC 61850 Sampled Values-based Analyzer for Power Quality applications on Smart Substations","authors":"M. Olivan, Alfonso Mareca, Joan Bruna, David Cervero","doi":"10.1109/AMPS50177.2021.9586013","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586013","url":null,"abstract":"This paper introduces a system capable of characterizing on-site digital instrument transformers from the analysis of the IEC 61850/IEC 61869-9 frames injected by the Stand Alone Merging Units (SAMU) located in digital substations. Besides, exploiting the interesting feature of being able to calculate the Power Quality (PQ) from the information sent by the SAMU, the second objective of this work is to implement a suitable computation architecture to monitor distributed PQ nodes. In a first step, this approach relies on the implementation of a IEC 61000-4-30 class-A PQ library on an industrial-based computer. Later, the library is migrated to a more limited platform to identify the maximum number of parallel nodes that the analyzer can process. Several experimental tests were carried out to verify the suitability of the proposed solution. The excellent results of the calibration by comparison between the digital instrument transformer and the analogue reference transformer and the number of parallel nodes that the system can analyze indicate that the proposed low-cost analyzer meets the stringent class-A requirements of the IEC 61000-4-30 for real-time evaluations.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132350327","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}
{"title":"Simplified method for measurement-based black-box harmonic stability assessment of single-phase power electronic devices","authors":"E. Kaufhold, Jan Meyer, C. Duque, P. Schegner","doi":"10.1109/AMPS50177.2021.9586005","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586005","url":null,"abstract":"The increasing share of power electronic (PE) devices in public energy networks has caused harmonic instabilities. A harmonic instability implies an interaction of the device control with the network impedance that leads to an unwanted shut down of the PE device. To analyze and predict the PE device behavior, different study approaches have been developed. While white-box approaches are not always applicable since the parameters of the devices are not always disclosed, black-box models can be generated based on measurements and used for the stability analysis. However, the measurements require expensive and accurate grid-simulators. The aim of this paper is to provide a measurement-based black-box method to analyze the harmonic stability of single-phase PE devices for low power applications in LV networks without deriving PE device models. Next to air coils as test stand impedances, a simple voltage source that generates a sinusoidal voltage at power frequency is sufficient for the proposed method. The method is demonstrated on a commercially available single-phase photovoltaic inverter and validated by the respective background theory.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134282109","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}
D. Giordano, D. Signorino, A. D. Femine, D. Gallo, G. Cipolletta
{"title":"Power Quality in DC railway systems","authors":"D. Giordano, D. Signorino, A. D. Femine, D. Gallo, G. Cipolletta","doi":"10.1109/AMPS50177.2021.9586027","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586027","url":null,"abstract":"The topic of the power quality in railway systems has more and more interest driven by the need of having a reliable, efficient and resilient system. The paper contributes to the identification and cataloguing of transient and power quality events and power quality indices that affect the DC metro and railway systems. Several transient events detecting on-board the 3 kV and 1.5 kV traction units and in a 3 kV substation are presented and described. The behaviour of the amplitude and frequency content of the voltage and current ripple under a particular operating condition is described. The events have been extracted by the measurement campaigns performed in the framework of the European project MyRailS.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126417458","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}
{"title":"Kalman Filtering with Harmonics Whitening for P Class Phasor Measurement Units","authors":"A. Bashian, D. Macii, D. Fontanelli, D. Petri","doi":"10.1109/AMPS50177.2021.9586033","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586033","url":null,"abstract":"The need for increasingly accurate and fast Phasor Measurement Units (PMUs), especially for active distribution systems monitoring, requires to achieve challenging trade-offs between measurement uncertainty and responsiveness. This is particularly important for protection-oriented (i.e., P Class) PMUs. In order to improve estimation accuracy with no need to prolong the data record size and the related delays, this paper presents a Taylor Kalman Filter (TKF) enhanced with a preliminary stage able to whiten possible narrowband disturbances over short observation intervals. The use of dynamic estimators such as the TKF is motivated by the need to track possible sudden amplitude or phase changes of voltage or current AC waveforms, which are likely to occur in smart grids. However, while a basic TKF is very sensitive to disturbances different from white noise, the proposed whitening-technique is able to greatly improve the estimation accuracy of synchrophasor amplitude, phase, frequency and Rate of Change of Frequency (ROCOF) under the influence of harmonics and amplitude or phase step changes even over one-cycle observation intervals, with just a minor performance degradation in the other P Class testing conditions reported in the IEEE/IEC Standard 60255-118-1:2018.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"425 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114951365","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}
T. Premgamone, J. Kortenbruck, E. Ortjohann, A. Schmelter, D. Holtschulte, S. Varada
{"title":"Real-Time Harmonic Component Decomposition for LV Grids Using Heterodyne Method With Adaptive Moving Average Filters","authors":"T. Premgamone, J. Kortenbruck, E. Ortjohann, A. Schmelter, D. Holtschulte, S. Varada","doi":"10.1109/AMPS50177.2021.9586030","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586030","url":null,"abstract":"To achieve climate-neutral society, distributed generation (DG) based on renewable energy sources (RESs) as well as electrical mobility and battery storages will penetrate electrical energy network at medium voltage (MV) and low voltage (LV) levels. Smart measurement systems with high dynamic performance are required in order to extend operational management and real-time control features to the distribution system operator (DSO) level. This paper presents a real-time harmonic component decomposition method that is based on a new combination of the heterodyne method and moving average filters (MAFs) implemented using adaptive windows with trapezoidal integration and interpolation. An optimized implementation structure for field programmable gate array (FPGA) is also given. Simulation results indicate that the method can accurately decompose harmonic components even at off-nominal grid frequency. The developed algorithm is implemented in an FPGA device and tested using emulated and real grid signals. It can decompose voltages and currents up to eight signals each up to the 50th harmonic at the sampling rate of 40 kHz. The achieved performance with the low computational requirements highlights its benefits in measurement and control in DSO level.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130180368","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}
M. Pasetti, S. Rinaldi, P. Bellagente, A. Depari, P. Ferrari, A. Flammini, E. Sisinni
{"title":"Impact of the Measurement Time Resolution on Energy Key Performance Indicators for Distributed Energy Resources: An Experimental Analysis","authors":"M. Pasetti, S. Rinaldi, P. Bellagente, A. Depari, P. Ferrari, A. Flammini, E. Sisinni","doi":"10.1109/AMPS50177.2021.9586020","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586020","url":null,"abstract":"The growing presence of Renewable Energy Sources (RESs) is heavily affecting the control and management of distribution grids. Battery Energy Storage Systems (BESSs) are increasingly adopted to mitigate the adverse impacts caused by the uncertainty of RES generators. Most of the existing works in the literature aims at using BESSs to maximize the self-consumption of energy provided by RES generators or focuses on the mitigation of voltage and/or frequency drift effects. More recently, some research works also studied the effects that BESSs have on the active power flows at the Point of Common Coupling (PCC) of prosumers. All these studies are based on the definition of proper energy Key Performance Indicators (KPIs) based on heterogeneous information collected from several measurement devices deployed in the field. This also means that the results of such studies could be significantly affected by the quality of data, particularly concerning the time resolution of the measurements. To better highlight this concern, this paper proposes an analysis of the impact of the time resolution of measurements on the evaluation of the absolute power ramp reduction at the PCC of prosumers in presence of BESS installations. The analysis was performed on real data collected from the eLUX lab of the University of Brescia, Italy, by varying the time resolution from 5 s to 15 min. The results of the analysis demonstrated that the time resolution has a great impact on the evaluation of the considered KPI, by leading to completely different performance assessments.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126945552","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}
{"title":"A Novel Non-invasive Harmonic Resonance Detection in Public LV networks","authors":"S. Kannan, Jan Meyer, P. Schegner, J. Rens","doi":"10.1109/AMPS50177.2021.9586016","DOIUrl":"https://doi.org/10.1109/AMPS50177.2021.9586016","url":null,"abstract":"Harmonic resonance is increasingly observed in public networks in Germany and Europe. Adverse effects such as harmonic emission amplification can be caused by harmonic resonance, which necessitates and emphasizes the importance of continuous monitoring and detection of harmonic resonances. This paper proposes a non-invasive harmonic resonance detection methodology that relies only on the measurement of voltage and current. The methodology is based on the hypothesis that harmonic apparent power will be amplified at the resonance frequency. Based on simulation and field measurement results, it is shown that the proposed methodology detects the resonance frequency continuously for the respective considered durations.","PeriodicalId":333660,"journal":{"name":"2021 IEEE 11th International Workshop on Applied Measurements for Power Systems (AMPS)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125207586","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}