Pub Date : 2020-12-07DOI: 10.1109/PECon48942.2020.9314543
M. Talib, M. Aziz, Yogendra Balasubramaniam, Y. Z. Y. Ghazali, M. R. Z. Abidin, M. Yousof
Furans are one of the ageing by-products produced and partially dissolved in transformer oil as a result of degradation of insulation paper in power transformer. The analysis of furanic compound thus widely used as a diagnostic tool to assess the health state of transformer paper insulation system. The correlation of furans data and the degree of polymerization (DP) has been previously studied to establish the end life criteria of in-service power transformer. This paper presented the post mortem ageing investigation on insulation material of power transformer. The DP profile of the axial and radial direction of transformer winding was presented. In addition, the correlation of 2FAL concentration and the average DP value of the transformer were compared with the existing established empirical equations correlations.
{"title":"Transformer Ageing Investigation and Correlation of Furanic Compound and Degree of Polymerization for Power Transformer Life Assessment","authors":"M. Talib, M. Aziz, Yogendra Balasubramaniam, Y. Z. Y. Ghazali, M. R. Z. Abidin, M. Yousof","doi":"10.1109/PECon48942.2020.9314543","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314543","url":null,"abstract":"Furans are one of the ageing by-products produced and partially dissolved in transformer oil as a result of degradation of insulation paper in power transformer. The analysis of furanic compound thus widely used as a diagnostic tool to assess the health state of transformer paper insulation system. The correlation of furans data and the degree of polymerization (DP) has been previously studied to establish the end life criteria of in-service power transformer. This paper presented the post mortem ageing investigation on insulation material of power transformer. The DP profile of the axial and radial direction of transformer winding was presented. In addition, the correlation of 2FAL concentration and the average DP value of the transformer were compared with the existing established empirical equations correlations.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"41 1","pages":"240-244"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79689094","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 : 2020-12-07DOI: 10.1109/PECon48942.2020.9314302
T. M. Kuan, A. M. Ariffin, W. Raymond
This paper presents the study on time domain reflectometry (TDR) technique in sectionalizing degraded cable along a polymeric insulated cable with multiple joints. TDR has been widely used for fault localization in polymeric cables. However, it only gives an average condition of the cable and could not pinpoint the degraded section along a cable especially for cable with jointing. Hence, this paper investigates the ability of TDR technique to pinpoint degraded cable section for an XLPE cable with two joints. The TDR system is modelled in MATLAB with a 300-metre XLPE cable that is divided into three equal lengths of 100 m and joint together using two cable joints. The location of degraded cable section is varied to study the ability of TDR in detecting degraded cable at various locations. Simulation results are then validated experimentally with the same cable configurations. Findings from validation of results show that TDR is capable of pinpointing the degraded cable section which allow sectionalization to take place for cable replacement.
{"title":"Sectionalization of Degraded Polymeric Cable with Multiple Joints using TDR Technique","authors":"T. M. Kuan, A. M. Ariffin, W. Raymond","doi":"10.1109/PECon48942.2020.9314302","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314302","url":null,"abstract":"This paper presents the study on time domain reflectometry (TDR) technique in sectionalizing degraded cable along a polymeric insulated cable with multiple joints. TDR has been widely used for fault localization in polymeric cables. However, it only gives an average condition of the cable and could not pinpoint the degraded section along a cable especially for cable with jointing. Hence, this paper investigates the ability of TDR technique to pinpoint degraded cable section for an XLPE cable with two joints. The TDR system is modelled in MATLAB with a 300-metre XLPE cable that is divided into three equal lengths of 100 m and joint together using two cable joints. The location of degraded cable section is varied to study the ability of TDR in detecting degraded cable at various locations. Simulation results are then validated experimentally with the same cable configurations. Findings from validation of results show that TDR is capable of pinpointing the degraded cable section which allow sectionalization to take place for cable replacement.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"08 1","pages":"245-250"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81803401","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 : 2020-12-07DOI: 10.1109/PECon48942.2020.9314486
S. H. Asman, N. F. Ab Aziz, Mohd Zainal Abidin Abd Kadir, U. Amirulddin
Medium voltage overhead line is exposed to fault due to the system spanning across a huge geographical area. The faults can lead to power outages and become a concern for power utilities. The outages can be due to various causes such as lightning strike, animal encroachment, and equipment failure. In some cases, the lightning strike might not affect the system as it self-clears and is represented as a lightning strike without fault. While, in other cases, a lightning strike with fault might present itself, thus, reducing the electrical performance. The impact of outages can be reduced if power utility operators utilize appropriate tools to analyze the fault signature. Several characteristic indices can be extracted from the signal waveform collected from Digital Fault Recorders (DFR) for practical applications. This paper presents fault signature analysis based on voltage and current parameters from the databases of overhead line system. Fault duration based on wavelet transform, rise time, decay time, and rate of change of neutral current are presented. The signature of lightning without fault, lightning with fault, and animal encroachment are established based on extracted characteristics.
{"title":"Fault Signature Analysis for Medium Voltage Overhead Line Based on New Characteristic Indices","authors":"S. H. Asman, N. F. Ab Aziz, Mohd Zainal Abidin Abd Kadir, U. Amirulddin","doi":"10.1109/PECon48942.2020.9314486","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314486","url":null,"abstract":"Medium voltage overhead line is exposed to fault due to the system spanning across a huge geographical area. The faults can lead to power outages and become a concern for power utilities. The outages can be due to various causes such as lightning strike, animal encroachment, and equipment failure. In some cases, the lightning strike might not affect the system as it self-clears and is represented as a lightning strike without fault. While, in other cases, a lightning strike with fault might present itself, thus, reducing the electrical performance. The impact of outages can be reduced if power utility operators utilize appropriate tools to analyze the fault signature. Several characteristic indices can be extracted from the signal waveform collected from Digital Fault Recorders (DFR) for practical applications. This paper presents fault signature analysis based on voltage and current parameters from the databases of overhead line system. Fault duration based on wavelet transform, rise time, decay time, and rate of change of neutral current are presented. The signature of lightning without fault, lightning with fault, and animal encroachment are established based on extracted characteristics.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"60 1","pages":"198-203"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90204905","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 : 2020-12-07DOI: 10.1109/PECon48942.2020.9314471
P. Makeen, H. Ghali, S. Memon
This paper expresses a developed Electric Vehicle (EV) fast-charging control system based on multi-stage charging current methodology. The controller does not require a current sensor or any compensation circuit as in the current mode control (CMC) and the voltage mode control (VMC). The proposed controller drives the EV charging current to a predetermined value throughout an enhancement in the closed-loop feedback controller based on the duty cycle. A required duty cycle is anticipated through the design and analysis of the switched-mode DC-DC parasitic buck-boost converter supplied from Renewable Energy Sources (RESs) and has been represented as a variable DC supply. In this paper, the validity of the proposed controller has been studied by three main scenarios using the MATLAB/Simulink computer program. The scenarios proved the fast speed response and accuracy of the investigated controller.
{"title":"Controllable Electric Vehicle Fast Charging Approach Based on Multi-Stage Charging Current Methodology","authors":"P. Makeen, H. Ghali, S. Memon","doi":"10.1109/PECon48942.2020.9314471","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314471","url":null,"abstract":"This paper expresses a developed Electric Vehicle (EV) fast-charging control system based on multi-stage charging current methodology. The controller does not require a current sensor or any compensation circuit as in the current mode control (CMC) and the voltage mode control (VMC). The proposed controller drives the EV charging current to a predetermined value throughout an enhancement in the closed-loop feedback controller based on the duty cycle. A required duty cycle is anticipated through the design and analysis of the switched-mode DC-DC parasitic buck-boost converter supplied from Renewable Energy Sources (RESs) and has been represented as a variable DC supply. In this paper, the validity of the proposed controller has been studied by three main scenarios using the MATLAB/Simulink computer program. The scenarios proved the fast speed response and accuracy of the investigated controller.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"33 1 1","pages":"398-403"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88977065","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 : 2020-12-07DOI: 10.1109/PECon48942.2020.9314463
Salah Alatai, Mohamed Salem, D. Ishak, M. Kamarol, M. Jamil, Ali Bughneda
The design and analysis of a five-level cascaded LLC resonant tank converter was presented in this study. The proposed converter steps-down the voltage, and the construction of the designed converter and the tank selected parameters forces the input impedance of the resonant tank to behave as a capacitor. Besides, the lack of any transformer in this design is beneficial in terms of cost reduction and the number of elements. The performance of the proposed converter was evaluated in a MATLAB-SIMULINK platform and based on the outcome of testing three different switching frequencies and measuring the ZCS for all switches, there was an agreement between the simulation and theoretical findings. Hence, the results conformed the ability of the proposed converter to provide a wide range of load operation (0.8 ≤ Fn ≥ 1.6) with input voltage of almost 400V and output voltage of 48V.
{"title":"Design and Analysis of Five-level cascaded LLC Resonant Converter","authors":"Salah Alatai, Mohamed Salem, D. Ishak, M. Kamarol, M. Jamil, Ali Bughneda","doi":"10.1109/PECon48942.2020.9314463","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314463","url":null,"abstract":"The design and analysis of a five-level cascaded LLC resonant tank converter was presented in this study. The proposed converter steps-down the voltage, and the construction of the designed converter and the tank selected parameters forces the input impedance of the resonant tank to behave as a capacitor. Besides, the lack of any transformer in this design is beneficial in terms of cost reduction and the number of elements. The performance of the proposed converter was evaluated in a MATLAB-SIMULINK platform and based on the outcome of testing three different switching frequencies and measuring the ZCS for all switches, there was an agreement between the simulation and theoretical findings. Hence, the results conformed the ability of the proposed converter to provide a wide range of load operation (0.8 ≤ Fn ≥ 1.6) with input voltage of almost 400V and output voltage of 48V.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"152 1","pages":"66-70"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79585279","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 : 2020-12-07DOI: 10.1109/PECon48942.2020.9314520
A. Omran, Dalila Mat Said, S. M. Hussin, S. Mirsaeidi, Yaser M. Abid
In recent years, machine learning techniques have been widely used to solve many problems for fault diagnosis. A significant number of electrical connectors have been utilized in photovoltaic systems in the presence of parallel and serial modules structures, where many various faults can take place. One of these faults, known as a series arc fault that frequently happens in the PV system. Many series arc fault generator models are derived from studying this type of fault. In this paper, a new intelligent method is proposed to classify various models of series arc fault generator. Different types of series arc fault models have been simulated to generated more than 800 records. The intelligent classification method has been proposed using Python to precisely discriminate among different models structured in a way that simplifies deep feature learning, where a light convolution neural network has been used; the proposed method achieved a high accuracy 98%.
{"title":"An Intelligent Classification Method of Series Arc Fault Models Using Deep Learning Algorithm","authors":"A. Omran, Dalila Mat Said, S. M. Hussin, S. Mirsaeidi, Yaser M. Abid","doi":"10.1109/PECon48942.2020.9314520","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314520","url":null,"abstract":"In recent years, machine learning techniques have been widely used to solve many problems for fault diagnosis. A significant number of electrical connectors have been utilized in photovoltaic systems in the presence of parallel and serial modules structures, where many various faults can take place. One of these faults, known as a series arc fault that frequently happens in the PV system. Many series arc fault generator models are derived from studying this type of fault. In this paper, a new intelligent method is proposed to classify various models of series arc fault generator. Different types of series arc fault models have been simulated to generated more than 800 records. The intelligent classification method has been proposed using Python to precisely discriminate among different models structured in a way that simplifies deep feature learning, where a light convolution neural network has been used; the proposed method achieved a high accuracy 98%.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"12 1","pages":"44-48"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88195024","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 : 2020-12-07DOI: 10.1109/PECon48942.2020.9314622
Y. Yeung, C. Lau
Phasor Measurement Units or PMU is a measurement device that produces synchronised measurement of phasor, frequency and rate of change of frequency from voltage and/or current signals based on a common time source that typically is the one provided by the Global Positioning System UTC-GPS [1]. It enables operators to monitor the network operating status in real time so as to take corresponding actions promptly and effectively while the network can be properly protected and supply can be restored automatically when fault incidents happen. PMU system can also provide the dedicated information to enhance the system protection scheme, supply reliability and asset utilisation so that the operators can operate the network smartly. This paper discusses system architecture design on the appropriate PMU technology for CLP Power’s system, acquisition, installation, operation and performance evaluation of the PMU system in CLP Power’s distribution network.
{"title":"Exploring the Application of Phasor Measurement Units in the Distribution Network","authors":"Y. Yeung, C. Lau","doi":"10.1109/PECon48942.2020.9314622","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314622","url":null,"abstract":"Phasor Measurement Units or PMU is a measurement device that produces synchronised measurement of phasor, frequency and rate of change of frequency from voltage and/or current signals based on a common time source that typically is the one provided by the Global Positioning System UTC-GPS [1]. It enables operators to monitor the network operating status in real time so as to take corresponding actions promptly and effectively while the network can be properly protected and supply can be restored automatically when fault incidents happen. PMU system can also provide the dedicated information to enhance the system protection scheme, supply reliability and asset utilisation so that the operators can operate the network smartly. This paper discusses system architecture design on the appropriate PMU technology for CLP Power’s system, acquisition, installation, operation and performance evaluation of the PMU system in CLP Power’s distribution network.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"362 1","pages":"299-303"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77412637","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 : 2020-12-07DOI: 10.1109/PECon48942.2020.9314582
R. Ayop, Chee Wei Tan, S. N. Syed Nasir, K. Y. Lau, Chuen Ling Toh
Photovoltaic (PV) emulator (PVE) allows the development and testing of the PV equipment and system effectively. The PVE is an alternative to controllable light source that requires a large space and highly inefficient. The PVE requires a power converter and the buck converter is preferred due to the control simplicity and high efficiency. Nonetheless, the conventional design of the buck converter cannot be used since the output voltage of the PVE highly dependent on the output resistance. A proper design of the buck converter specified for the PVE application is needed to maintain continuous current mode operation and the output voltage ripple factor below the desired specification. This paper proposed the design for the passive components for the PVE using buck converter, which includes the output resistor, inductor, and capacitor. The single diode model is used to produce the current-resistance characteristic curves of the PV. The control strategy of the PVE is not included in this paper. The results show that the passive components for the buck converter obtained from the derivation able to maintain continuous current mode and has the output voltage ripple factor lower than the desired specification when operates as the PVE. This proves the derivation of the passive components is accurate.
{"title":"Buck Converter Design for Photovoltaic Emulator Application","authors":"R. Ayop, Chee Wei Tan, S. N. Syed Nasir, K. Y. Lau, Chuen Ling Toh","doi":"10.1109/PECon48942.2020.9314582","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314582","url":null,"abstract":"Photovoltaic (PV) emulator (PVE) allows the development and testing of the PV equipment and system effectively. The PVE is an alternative to controllable light source that requires a large space and highly inefficient. The PVE requires a power converter and the buck converter is preferred due to the control simplicity and high efficiency. Nonetheless, the conventional design of the buck converter cannot be used since the output voltage of the PVE highly dependent on the output resistance. A proper design of the buck converter specified for the PVE application is needed to maintain continuous current mode operation and the output voltage ripple factor below the desired specification. This paper proposed the design for the passive components for the PVE using buck converter, which includes the output resistor, inductor, and capacitor. The single diode model is used to produce the current-resistance characteristic curves of the PV. The control strategy of the PVE is not included in this paper. The results show that the passive components for the buck converter obtained from the derivation able to maintain continuous current mode and has the output voltage ripple factor lower than the desired specification when operates as the PVE. This proves the derivation of the passive components is accurate.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"1 1","pages":"293-298"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72898258","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 : 2020-12-07DOI: 10.1109/pecon48942.2020.9314452
{"title":"PECon 2020 Copyright Page","authors":"","doi":"10.1109/pecon48942.2020.9314452","DOIUrl":"https://doi.org/10.1109/pecon48942.2020.9314452","url":null,"abstract":"","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77330407","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 : 2020-12-07DOI: 10.1109/PECon48942.2020.9314427
Meshal M. Al-Shammari, E. Al-Ammar
In this paper, the feasibility of installing the PV systems on the rooftop of the shopping centers is investigated. Several case studies are proposed to cover a range of the rooftop area. Each case study contains two main options which include considering the load of the shopping center and exclude the load. The first case study aims to install a 2 MWp PV system according to the Saudi Arabia renewable energy regulation. The 2 MWp PV system is installed to be connected to the low voltage side. In this case study, the needed area to install the 2 MWp is 10,932 m2 which is less than the minimum range of the available area of the shopping mall (60,000 m2). The second case study aims to install the PV system to cover around 75% of the rooftop (60,000 m2). In addition, the feasible area to install the PV systems in the rooftop of the shopping centers are also investigated. Here, the area is found to be more than 8,430.8 m2 in case of the cost of the kWh is 0.07 SAR.
{"title":"Techno-Economics of Solar PV Systems on the Commercial Malls Rooftops","authors":"Meshal M. Al-Shammari, E. Al-Ammar","doi":"10.1109/PECon48942.2020.9314427","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314427","url":null,"abstract":"In this paper, the feasibility of installing the PV systems on the rooftop of the shopping centers is investigated. Several case studies are proposed to cover a range of the rooftop area. Each case study contains two main options which include considering the load of the shopping center and exclude the load. The first case study aims to install a 2 MWp PV system according to the Saudi Arabia renewable energy regulation. The 2 MWp PV system is installed to be connected to the low voltage side. In this case study, the needed area to install the 2 MWp is 10,932 m2 which is less than the minimum range of the available area of the shopping mall (60,000 m2). The second case study aims to install the PV system to cover around 75% of the rooftop (60,000 m2). In addition, the feasible area to install the PV systems in the rooftop of the shopping centers are also investigated. Here, the area is found to be more than 8,430.8 m2 in case of the cost of the kWh is 0.07 SAR.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"61 1","pages":"264-269"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85242660","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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