Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774244
Hilmi Cihan Güldorum, Ayşe Kübra Erenoğlu, O. Erdinç, İbrahim Şengör
The integration of large-scale electric vehicles (EVs) into the distribution system has emerged as a critical topic of research with the proliferation of EVs over the years. To mitigate the negative effects of EVs on the distribution system (DS), in this study, the optimal operation of an EVPL is investigated with a model in the form of mixed-integer quadratic constrained programming (MIQCP) that aims to minimize a variety of realistic objectives including active power losses, charging cost or voltage deviations while taking DS constraints into account. Also, uncertain behavior of the EVPL has been considered via machine-learning based forecasting by using historic data. The effectiveness of the proposed model has been evaluated using a 33-bus test system with 15-minute time granularity and compared to models that had various objective functions.
{"title":"Comparative Realistic Objectives Oriented Optimization Framework for EV Charging Scheduling in a Distribution System","authors":"Hilmi Cihan Güldorum, Ayşe Kübra Erenoğlu, O. Erdinç, İbrahim Şengör","doi":"10.1109/SGRE53517.2022.9774244","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774244","url":null,"abstract":"The integration of large-scale electric vehicles (EVs) into the distribution system has emerged as a critical topic of research with the proliferation of EVs over the years. To mitigate the negative effects of EVs on the distribution system (DS), in this study, the optimal operation of an EVPL is investigated with a model in the form of mixed-integer quadratic constrained programming (MIQCP) that aims to minimize a variety of realistic objectives including active power losses, charging cost or voltage deviations while taking DS constraints into account. Also, uncertain behavior of the EVPL has been considered via machine-learning based forecasting by using historic data. The effectiveness of the proposed model has been evaluated using a 33-bus test system with 15-minute time granularity and compared to models that had various objective functions.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80029450","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774042
Yushan Liu, Xuyang Liu, Xiao Li, Haiwen Yuan, Y. Xue
The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations and other advantages of Z-source inverter. Traditional ES-qZSI suffers from poor operation at night or cloudy days when PV power is extremely low. In order to overcome that, this paper proposes a model predictive control (MPC) strategy for an improved dual-mode ES-qZSI, which is designed to support all-weather operation of PV power generation system. The system predictive models in both day and night operating modes are derived. And the control strategy based on MPC is disclosed to ensure the high-performance operation of the system. Simulation is carried out on PV power fluctuation in daytime and switching between the two modes, to verify the effectiveness of proposed control strategy.
{"title":"Model Predictive Control of Dual-Mode Energy-Stored Quasi-Z-Source Photovoltaic System","authors":"Yushan Liu, Xuyang Liu, Xiao Li, Haiwen Yuan, Y. Xue","doi":"10.1109/SGRE53517.2022.9774042","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774042","url":null,"abstract":"The energy-stored quasi-Z-source inverter (ES-qZSI) has attracted much attention for photovoltaic (PV) power generations, due to its capability to stabilize the PV power fluctuations and other advantages of Z-source inverter. Traditional ES-qZSI suffers from poor operation at night or cloudy days when PV power is extremely low. In order to overcome that, this paper proposes a model predictive control (MPC) strategy for an improved dual-mode ES-qZSI, which is designed to support all-weather operation of PV power generation system. The system predictive models in both day and night operating modes are derived. And the control strategy based on MPC is disclosed to ensure the high-performance operation of the system. Simulation is carried out on PV power fluctuation in daytime and switching between the two modes, to verify the effectiveness of proposed control strategy.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89343261","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774104
Y. Nassar, Said O. Belhaj, Samer Alsadi, H. El-khozondar
In solar PV fields, solar photovoltaic panels are typically arranged in parallel rows one after the other. This arrangement introduces variations in the distribution of solar irradiance over the entire field, compared to measurements made at meteorological weather stations and data obtained from solar radiation databases. This is due to the difference in the view factors between the rows of the solar PV field and a single reference surface, as well as the presence of shade on rear rows and in the space separating the rows. These phenomena combined will reduce the energy yield of a solar PV field. Accurate estimation of solar radiation on solar fields requires knowledge of the sky, ground, and rear surface of the preceding row view factors, and an estimation of the time and space occupied by the row’s shadow. Prior literature has addressed this issue using two-dimensional (2D) techniques such as Crossed-Strings Method, which this study proved to be inaccurate particularly in the case of Rooftop solar PV fields. This study uses a novel three-dimensional (3D) analytical and numerical analysis to determine the view factors associated with solar fields using hourly solar irradiance data acquired from Solar-GIS for the period 2007-2020, including global, beam, and sky diffuse irradiance components on horizontal plane. The study uses both isotropic and anisotropic transposition analyses to determine solar irradiance incident on the solar field with varying tilt angles of solar panels and distance separating the rows.
{"title":"Analysis of the View Factors in Rooftop PV Solar","authors":"Y. Nassar, Said O. Belhaj, Samer Alsadi, H. El-khozondar","doi":"10.1109/SGRE53517.2022.9774104","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774104","url":null,"abstract":"In solar PV fields, solar photovoltaic panels are typically arranged in parallel rows one after the other. This arrangement introduces variations in the distribution of solar irradiance over the entire field, compared to measurements made at meteorological weather stations and data obtained from solar radiation databases. This is due to the difference in the view factors between the rows of the solar PV field and a single reference surface, as well as the presence of shade on rear rows and in the space separating the rows. These phenomena combined will reduce the energy yield of a solar PV field. Accurate estimation of solar radiation on solar fields requires knowledge of the sky, ground, and rear surface of the preceding row view factors, and an estimation of the time and space occupied by the row’s shadow. Prior literature has addressed this issue using two-dimensional (2D) techniques such as Crossed-Strings Method, which this study proved to be inaccurate particularly in the case of Rooftop solar PV fields. This study uses a novel three-dimensional (3D) analytical and numerical analysis to determine the view factors associated with solar fields using hourly solar irradiance data acquired from Solar-GIS for the period 2007-2020, including global, beam, and sky diffuse irradiance components on horizontal plane. The study uses both isotropic and anisotropic transposition analyses to determine solar irradiance incident on the solar field with varying tilt angles of solar panels and distance separating the rows.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73039190","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774053
Amir Mohammed
Electricity as a commodity has experienced a shift in its economic model of competition from regulated monopolies towards full competitive markets. Distributed generation, particularly renewable energy (RE) plays an important role in the new decentralized paradigm of power systems. The emerging potential of distributed generation can be gained through implementing Microgrids which deal with both generation and associated loads as a subsystem that can operate in both modes of operation grid-connected and islanded mode. Energy trading through microgrid management is a solution to encourage the trade of energy among retailers (prosumers) to better balance the energy demand and supply which in turn opens a competitive market for energy trading among retailers in a microgrid. This paper provides a complete description of microgrid management and the dynamics with energy markets, as well as an examination of the challenges and opportunities to an increase in microgrid penetration to serve electricity consumers. In addition to providing a new algorithm that can be used to improve the efficiency of power grids by engaging customers and using a demand response program with a microgrid to modify their power consumption pattern during peak load with less cost.
{"title":"A Dynamic Framework for Customer Engagement in The Era of Microgrid","authors":"Amir Mohammed","doi":"10.1109/SGRE53517.2022.9774053","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774053","url":null,"abstract":"Electricity as a commodity has experienced a shift in its economic model of competition from regulated monopolies towards full competitive markets. Distributed generation, particularly renewable energy (RE) plays an important role in the new decentralized paradigm of power systems. The emerging potential of distributed generation can be gained through implementing Microgrids which deal with both generation and associated loads as a subsystem that can operate in both modes of operation grid-connected and islanded mode. Energy trading through microgrid management is a solution to encourage the trade of energy among retailers (prosumers) to better balance the energy demand and supply which in turn opens a competitive market for energy trading among retailers in a microgrid. This paper provides a complete description of microgrid management and the dynamics with energy markets, as well as an examination of the challenges and opportunities to an increase in microgrid penetration to serve electricity consumers. In addition to providing a new algorithm that can be used to improve the efficiency of power grids by engaging customers and using a demand response program with a microgrid to modify their power consumption pattern during peak load with less cost.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76772717","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774181
Ahmad Darwish, S. Refaat, H. Abu-Rub, Graeme Coapes
Partial discharge (PD) monitoring in gas-insulated switchgear (GIS) has been predominantly monitored using ultrahigh frequency sensors. This is attributed to the superior performance of such sensors in detecting and localizing partial discharge current pulses inside gas-insulated switchgear. In this paper, a coplanar waveguide antenna, widely used for wireless communication applications, has been optimized to operate over the UHF frequency range (0.3GHz - 3GHz). The final proposed antenna size is 120mm x 120 mm, which can fit internally within high voltage GIS structures. The reflection coefficient of the optimized sensor shows that it covers most of the UHF range (0.7GHz – 3GHz). The antenna radiation pattern is also presented, and the obtained results are discussed. Finally, a 3D Finite Element (FE) model for a small section of a GIS has been implemented to examine the antenna performance in detecting PD pulses within GIS structures.
{"title":"A Coplanar Waveguide Based Antenna for Partial Discharge Detection in Gas-insulated Switchgear","authors":"Ahmad Darwish, S. Refaat, H. Abu-Rub, Graeme Coapes","doi":"10.1109/SGRE53517.2022.9774181","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774181","url":null,"abstract":"Partial discharge (PD) monitoring in gas-insulated switchgear (GIS) has been predominantly monitored using ultrahigh frequency sensors. This is attributed to the superior performance of such sensors in detecting and localizing partial discharge current pulses inside gas-insulated switchgear. In this paper, a coplanar waveguide antenna, widely used for wireless communication applications, has been optimized to operate over the UHF frequency range (0.3GHz - 3GHz). The final proposed antenna size is 120mm x 120 mm, which can fit internally within high voltage GIS structures. The reflection coefficient of the optimized sensor shows that it covers most of the UHF range (0.7GHz – 3GHz). The antenna radiation pattern is also presented, and the obtained results are discussed. Finally, a 3D Finite Element (FE) model for a small section of a GIS has been implemented to examine the antenna performance in detecting PD pulses within GIS structures.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72366944","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774151
M. Nguyen, Q. Phan, P. Maussion
Frugal innovation could be part of the solution for rural electrification problems. This paper presents some guidelines to implement a spectroscopy in an Arduino in order to evaluate the state of health (SoH) of used lead-acid car batteries. The program works as a frequency response analyzer to inspect battery inner impedance. Users can control the assessment of the battery status via the App on a smartphone and receive the results returned from the Arduino. This method of evaluation is faster than the traditional method and is more convenient for the user because it replaces expensive laboratory equipment by re-used second life elements. Simulation and experimental results show the feasibility and effectiveness of the proposed method.
{"title":"Re-used Lead-Acid Car Battery SoH Monitoring through Spectroscopy and PC Power Supply Units","authors":"M. Nguyen, Q. Phan, P. Maussion","doi":"10.1109/SGRE53517.2022.9774151","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774151","url":null,"abstract":"Frugal innovation could be part of the solution for rural electrification problems. This paper presents some guidelines to implement a spectroscopy in an Arduino in order to evaluate the state of health (SoH) of used lead-acid car batteries. The program works as a frequency response analyzer to inspect battery inner impedance. Users can control the assessment of the battery status via the App on a smartphone and receive the results returned from the Arduino. This method of evaluation is faster than the traditional method and is more convenient for the user because it replaces expensive laboratory equipment by re-used second life elements. Simulation and experimental results show the feasibility and effectiveness of the proposed method.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79811802","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}
Yesilirmak Distribution System Operator, one of Turkey’s leading distribution system operators, carried out a pilot project with the support of the university in order to be technically ready when its customers want to manage their bills through batteries and to understand the challenges and benefits of batteries in the network operation. This study describes the creation of the electrical connection diagram of the battery, the completion of the financial analysis under different tariffs, and the development of a mathematical model for bill management optimization at the planning stage of the pilot project, which was completed based on the prediction that the behind-the-meter batteries will increase in the near future. While energy storage systems change the grid consumption curves of customers by Time-of-Use (TOU) tariffs, they also provide a certain amount of savings in bills.
{"title":"Reassessment of Bill Management by Batteries with Various TOU Tariffs: A Pilot Project from Turkey","authors":"Alper Çetin, Semanur Sancar, A. Bayatmakoo, Kerim Kaya, Caner Ozen, Gokturk Poyrazoglu","doi":"10.1109/SGRE53517.2022.9774130","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774130","url":null,"abstract":"Yesilirmak Distribution System Operator, one of Turkey’s leading distribution system operators, carried out a pilot project with the support of the university in order to be technically ready when its customers want to manage their bills through batteries and to understand the challenges and benefits of batteries in the network operation. This study describes the creation of the electrical connection diagram of the battery, the completion of the financial analysis under different tariffs, and the development of a mathematical model for bill management optimization at the planning stage of the pilot project, which was completed based on the prediction that the behind-the-meter batteries will increase in the near future. While energy storage systems change the grid consumption curves of customers by Time-of-Use (TOU) tariffs, they also provide a certain amount of savings in bills.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72839844","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774070
M. Massaoudi, S. Refaat, H. Abu-Rub
Real-time Intrusion Detection Systems (IDSs) have attracted greater attention for secured and resilient smart grid operations. IDSs are employed to identify unknown cyberattacks and malware from network traffics. In this paper, an efficient model-based machine learning is proposed to detect a variety of cyberattacks. The proposed method enhanced Extremely randomized Trees (ET) classifier based on Synthetic Minority Oversampling Technique (SMOTE) accurately classifies imbalanced IDSs data. The proposed ET-SMOTE uses a virtue of data processing blocks to enable multi-layer network cyber-security assessment in smart grids by acquiring the essential knowledge of attack dynamics. The proposed computing framework provides an accurate multiclass classification of five network traffic categories: denial of service attacks, probing attacks, root to local attacks, user to root attacks, and normal. The experimental results demonstrate the high accuracy of the proposed ET-SMOTE algorithm in detecting various types of cyber threats compared to benchmark models with an accuracy of 99.79% using the NSL-KDD networks data set.
{"title":"Intrusion Detection Method Based on SMOTE Transformation for Smart Grid Cybersecurity","authors":"M. Massaoudi, S. Refaat, H. Abu-Rub","doi":"10.1109/SGRE53517.2022.9774070","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774070","url":null,"abstract":"Real-time Intrusion Detection Systems (IDSs) have attracted greater attention for secured and resilient smart grid operations. IDSs are employed to identify unknown cyberattacks and malware from network traffics. In this paper, an efficient model-based machine learning is proposed to detect a variety of cyberattacks. The proposed method enhanced Extremely randomized Trees (ET) classifier based on Synthetic Minority Oversampling Technique (SMOTE) accurately classifies imbalanced IDSs data. The proposed ET-SMOTE uses a virtue of data processing blocks to enable multi-layer network cyber-security assessment in smart grids by acquiring the essential knowledge of attack dynamics. The proposed computing framework provides an accurate multiclass classification of five network traffic categories: denial of service attacks, probing attacks, root to local attacks, user to root attacks, and normal. The experimental results demonstrate the high accuracy of the proposed ET-SMOTE algorithm in detecting various types of cyber threats compared to benchmark models with an accuracy of 99.79% using the NSL-KDD networks data set.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90679388","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774095
O. Abdel-Rahim, A. Chub, A. Blinov, D. Vinnikov
Processing fraction of the power instead of processing full power is an emerging technology for improving converter efficiency and enables selecting semiconductors with smaller size and lower cost. In order to cope with this new emerging technology, this paper presents a partial power based on isolated Z-Source converter (PPZSC). Two structures of the proposed configuration are illustrated in this paper; one is parallel input series output (PISO) and the second is Series Input Parallel output (SIPO) configurations. The system efficiency is higher compared to the full power Z-source converter. The system is Simulated in PSIM platform, and full experimental results will be supplied in the final version of the paper.
{"title":"Buck-Boost Resonant Z-Source Parital Power Converter","authors":"O. Abdel-Rahim, A. Chub, A. Blinov, D. Vinnikov","doi":"10.1109/SGRE53517.2022.9774095","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774095","url":null,"abstract":"Processing fraction of the power instead of processing full power is an emerging technology for improving converter efficiency and enables selecting semiconductors with smaller size and lower cost. In order to cope with this new emerging technology, this paper presents a partial power based on isolated Z-Source converter (PPZSC). Two structures of the proposed configuration are illustrated in this paper; one is parallel input series output (PISO) and the second is Series Input Parallel output (SIPO) configurations. The system efficiency is higher compared to the full power Z-source converter. The system is Simulated in PSIM platform, and full experimental results will be supplied in the final version of the paper.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88913520","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774225
Kedar V. Khandeparkar, S. Swain, Parth Chaturvedi
The phasor measurement units (PMUs) measure multiple parameters of the grid and send data packets to compute nodes called phasor data concentrator (PDC). The data processing at PDC involves parsing, time-aligning and aggregation of packets. A PDC also runs time-critical applications having stringent latency requirements (50 to 100 milliseconds). The high volume, velocity and variety of streaming data packets pose a challenge to meeting quality-of-service (QoS) requirements for these applications. Moreover, the post-analysis of events require fetching data archived in the secondary storage typically referred as the Historian. As the volume of data increases over time, it leads to increased storage cost and data retrieval time. In this paper, the problem on data processing is addressed by parallel parsing and hash-based in-memory data storage during time-aligning of packets thereby reducing the overall processing time at PDC from quadratic to linear in terms of the number of PMUs. We have also explored the performance of offline application queries on data stored in three different storage platforms namely, PostgreSQL, InfluxDB and MongoDB. The empirical results show that among the three databases, InfluxDB have lower query execution time when application queries with selective columns are fetched from the database.
{"title":"Efficient Data Processing and Storage at Phasor Data Concentrators in Smart Grids","authors":"Kedar V. Khandeparkar, S. Swain, Parth Chaturvedi","doi":"10.1109/SGRE53517.2022.9774225","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774225","url":null,"abstract":"The phasor measurement units (PMUs) measure multiple parameters of the grid and send data packets to compute nodes called phasor data concentrator (PDC). The data processing at PDC involves parsing, time-aligning and aggregation of packets. A PDC also runs time-critical applications having stringent latency requirements (50 to 100 milliseconds). The high volume, velocity and variety of streaming data packets pose a challenge to meeting quality-of-service (QoS) requirements for these applications. Moreover, the post-analysis of events require fetching data archived in the secondary storage typically referred as the Historian. As the volume of data increases over time, it leads to increased storage cost and data retrieval time. In this paper, the problem on data processing is addressed by parallel parsing and hash-based in-memory data storage during time-aligning of packets thereby reducing the overall processing time at PDC from quadratic to linear in terms of the number of PMUs. We have also explored the performance of offline application queries on data stored in three different storage platforms namely, PostgreSQL, InfluxDB and MongoDB. The empirical results show that among the three databases, InfluxDB have lower query execution time when application queries with selective columns are fetched from the database.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89838909","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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