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/PECon48942.2020.9314491
Muhammad Aniq Shahmi Bin Bimazlim, B. Ismail, M. Z. Aihsan, Siti Khodijah Mazalan, Muhammad Sirajuddin Muhammad Azhar Walter, Mohamad Nur Khairul Hafizi Rohani
Conversion of DC to AC is widely used as an essential need for the power system to harness renewable power source in this era. Multilevel inverter is a mechanism which capable of harnessing these renewable energies. Unfortunately, harmonics occur in the system due to distortions and causing much unwanted problems at the power output. Therefore, the elimination of harmonics and reduce Total Harmonics Distortion (THD) are needed to maintain good power output. Application of Selective Harmonics Elimination Pulse Width Modulation (SHEPWM) can be used in the multilevel inverter to solve the problem. In this paper, optimization algorithms such as Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA) and Sine Cosine Algorithm (SCA) were applied for finding suitable switching angle for SHEPWM. The calculated switching angle was applied into seven-level five-phase multilevel inverter for various modulation indexes. In addition, the simulation of the multilevel inverter also done using PSIM software. The results show that the selective lower order harmonics, 3rd and 7th are completely eliminated for all three algorithms. In addition, the time taken for newly discovered algorithms to find switching angles for seven-level five-phase inverter is faster compared to PSO.
{"title":"Comparative Study of Optimization Algorithms for SHEPWM Five-Phase Multilevel Inverter","authors":"Muhammad Aniq Shahmi Bin Bimazlim, B. Ismail, M. Z. Aihsan, Siti Khodijah Mazalan, Muhammad Sirajuddin Muhammad Azhar Walter, Mohamad Nur Khairul Hafizi Rohani","doi":"10.1109/PECon48942.2020.9314491","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314491","url":null,"abstract":"Conversion of DC to AC is widely used as an essential need for the power system to harness renewable power source in this era. Multilevel inverter is a mechanism which capable of harnessing these renewable energies. Unfortunately, harmonics occur in the system due to distortions and causing much unwanted problems at the power output. Therefore, the elimination of harmonics and reduce Total Harmonics Distortion (THD) are needed to maintain good power output. Application of Selective Harmonics Elimination Pulse Width Modulation (SHEPWM) can be used in the multilevel inverter to solve the problem. In this paper, optimization algorithms such as Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA) and Sine Cosine Algorithm (SCA) were applied for finding suitable switching angle for SHEPWM. The calculated switching angle was applied into seven-level five-phase multilevel inverter for various modulation indexes. In addition, the simulation of the multilevel inverter also done using PSIM software. The results show that the selective lower order harmonics, 3rd and 7th are completely eliminated for all three algorithms. In addition, the time taken for newly discovered algorithms to find switching angles for seven-level five-phase inverter is faster compared to PSO.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"67 1","pages":"95-100"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86039049","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/PECon48942.2020.9314386
Siti Nur Atikah A Majid, N. A. Salim, H. Mohamad, Z. M. Yasin
Cost/benefit analysis of power system is one of the most challenging task due to the impact of electric utility deregulation and market competition. However, it becomes an essential factor in order to determine the system reinforcement and expansion projects. A major role in the application reliability concepts and accomplishment of an acceptable level of reliability is economic. Therefore, it is important to determine the optimal reliability level at which the reliability investment achieves the best results in reducing the customer damage costs due to power supply interruption. This paper presents an assessment of reliability cost/benefit index of expected customer interruption cost (ECOST) by considering power system contingency which are load adjustment and transmission line tripping by applying the sensitivity analysis. ECOST index quantifies the reliability of power system in terms of monetary. The value of ECOST is evaluated based on load increment/decrement and transmission line tripping. In order to calculate ECOST, load curtailment is performed. IEEE Reliability Test System 1979 (IEEE RTS- 79) is used to validate the assessment of ECOST due to load adjustment and line tripping. The findings have proved that the ECOST increases with the increased of the total loading condition and line tripping. Therefore, this method could be applied in order to assist the power system utility in monitoring the contingency in the system.
{"title":"Assessment of Expected Customer Interruption Cost Due to Power System Contingency by Sensitivity Analysis","authors":"Siti Nur Atikah A Majid, N. A. Salim, H. Mohamad, Z. M. Yasin","doi":"10.1109/PECon48942.2020.9314386","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314386","url":null,"abstract":"Cost/benefit analysis of power system is one of the most challenging task due to the impact of electric utility deregulation and market competition. However, it becomes an essential factor in order to determine the system reinforcement and expansion projects. A major role in the application reliability concepts and accomplishment of an acceptable level of reliability is economic. Therefore, it is important to determine the optimal reliability level at which the reliability investment achieves the best results in reducing the customer damage costs due to power supply interruption. This paper presents an assessment of reliability cost/benefit index of expected customer interruption cost (ECOST) by considering power system contingency which are load adjustment and transmission line tripping by applying the sensitivity analysis. ECOST index quantifies the reliability of power system in terms of monetary. The value of ECOST is evaluated based on load increment/decrement and transmission line tripping. In order to calculate ECOST, load curtailment is performed. IEEE Reliability Test System 1979 (IEEE RTS- 79) is used to validate the assessment of ECOST due to load adjustment and line tripping. The findings have proved that the ECOST increases with the increased of the total loading condition and line tripping. Therefore, this method could be applied in order to assist the power system utility in monitoring the contingency in the system.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"14 1","pages":"171-175"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88458671","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/PECon48942.2020.9314417
S. H. Asman, N. F. Ab Aziz, Mohd Zainal Abidin Abd Kadir, U. Amirulddin
Overhead transmission lines are prone to various natural disaster and phenomena which lead to system fault. System fault causes tripping which can be due to various root causes such as lightning strikes, tree encroachment, crane encroachment and defect equipment. In this paper, fault characteristics from different root causes are studied and analyzed based on field data extracted from the Digital Fault Recorder (DFR). It is found that different fault types of overhead transmission line have identical fault signatures in terms of current and voltage waveform. Moreover, to quantify the fault signatures, several indices are extracted to identify the root cause of fault. The indices are based on pre-fault and fault event current and voltage waveforms. These findings can be beneficial to enhance the decision making on identifying the root cause of fault.
{"title":"Fault Signature Analysis Based on Digital Fault Recorder in Malaysia Overhead Line System","authors":"S. H. Asman, N. F. Ab Aziz, Mohd Zainal Abidin Abd Kadir, U. Amirulddin","doi":"10.1109/PECon48942.2020.9314417","DOIUrl":"https://doi.org/10.1109/PECon48942.2020.9314417","url":null,"abstract":"Overhead transmission lines are prone to various natural disaster and phenomena which lead to system fault. System fault causes tripping which can be due to various root causes such as lightning strikes, tree encroachment, crane encroachment and defect equipment. In this paper, fault characteristics from different root causes are studied and analyzed based on field data extracted from the Digital Fault Recorder (DFR). It is found that different fault types of overhead transmission line have identical fault signatures in terms of current and voltage waveform. Moreover, to quantify the fault signatures, several indices are extracted to identify the root cause of fault. The indices are based on pre-fault and fault event current and voltage waveforms. These findings can be beneficial to enhance the decision making on identifying the root cause of fault.","PeriodicalId":6768,"journal":{"name":"2020 IEEE International Conference on Power and Energy (PECon)","volume":"50 1","pages":"188-193"},"PeriodicalIF":0.0,"publicationDate":"2020-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76004130","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：