Pub Date : 2018-10-01DOI: 10.1109/EPEC.2018.8598311
P. Eboule, J. Pretorius, N. Mbuli, Collins Leke
In power systems, power transmission lines are an important part of an electrical grid. Thus, it is important to anticipate upcoming faults and their location by predicting them using a powerful artificial intelligence technique to improve power transmission line reliability and sustainability. This paper compares the results of concurrent neuro-fuzzy (CNF) technique applied in different power transmission lines (PTL), to predict the detection faults and their location over two long and short PTL (735 kV, 600 km and 400 kV, 120 km), CNF was used for detecting, locating and classifying faults in PTL. The results show that the utilization of this technique for such task could be time saving for the technical team and could improve the transmission line yield.
{"title":"Fault Detection and Location in Power Transmission Line Using Concurrent Neuro Fuzzy Technique","authors":"P. Eboule, J. Pretorius, N. Mbuli, Collins Leke","doi":"10.1109/EPEC.2018.8598311","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598311","url":null,"abstract":"In power systems, power transmission lines are an important part of an electrical grid. Thus, it is important to anticipate upcoming faults and their location by predicting them using a powerful artificial intelligence technique to improve power transmission line reliability and sustainability. This paper compares the results of concurrent neuro-fuzzy (CNF) technique applied in different power transmission lines (PTL), to predict the detection faults and their location over two long and short PTL (735 kV, 600 km and 400 kV, 120 km), CNF was used for detecting, locating and classifying faults in PTL. The results show that the utilization of this technique for such task could be time saving for the technical team and could improve the transmission line yield.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"708 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117145346","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598356
Ehab Sayed, M. Bakr, B. Bilgin, A. Emadi
A MATLAB tool is developed for finite element and adjoint sensitivity analyses of switched reluctance motors (SRMs). The tool solves for magnetic vector potential throughout the SRM domain taking nonlinearity of magnetic materials into consideration. It then calculates electromagnetic torque, flux density, air region stored energy, and flux linkage at different rotor positions. The tool exploits structural mapping technique to control 8 geometric design parameters of SRMs. These parameters are yoke thickness, teeth height, teeth pole arc angle, and teeth taper angle of both stator and rotor. The tool also evaluates the desired sensitivities with respect to these geometric design parameters in addition to the number of turns per phase.
{"title":"A MATLAB Toolbox for Adjoint-Based Sensitivity Analysis of Switched Reluctance Motors","authors":"Ehab Sayed, M. Bakr, B. Bilgin, A. Emadi","doi":"10.1109/EPEC.2018.8598356","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598356","url":null,"abstract":"A MATLAB tool is developed for finite element and adjoint sensitivity analyses of switched reluctance motors (SRMs). The tool solves for magnetic vector potential throughout the SRM domain taking nonlinearity of magnetic materials into consideration. It then calculates electromagnetic torque, flux density, air region stored energy, and flux linkage at different rotor positions. The tool exploits structural mapping technique to control 8 geometric design parameters of SRMs. These parameters are yoke thickness, teeth height, teeth pole arc angle, and teeth taper angle of both stator and rotor. The tool also evaluates the desired sensitivities with respect to these geometric design parameters in addition to the number of turns per phase.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"PE-1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126758023","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598344
A. Rasool, Xiangwu Yan, Haaris Rasool, Hongxia Guo
The different variants of droop controls for the multiple Virtual Synchronous Generator (VSG) sources to form an island microgrid is discussed in this paper. The droop control ω-P is basically a decentralized control that defines the frequency variation of a microgrid on the increase in load. The control equation for the equivalent ω-P slope for two VSGs is derived to see the effect of a load on the overall system's frequency. In the parallel VSG system, the power distribution among the multiple VSGs is dependent on the droop control. The correlation of multiple VSGs is presented in this paper that can bring the firm coordination between the different sources in stabilizing the system; by finding the dependency of each VSG on a microgrid. Furthermore, the master-slave control is introduced to acquire the maximum power of one VSG (e.g. solar) by following the instant frequency of a system as a reference, instead of constant reference frequency. Following controls are verified by performing the experiments on an island microgrid system and the results are shown through graphs.
{"title":"Correlation Between Multiple VSG Sources for Enhancing the Power Allocation in Microgrid","authors":"A. Rasool, Xiangwu Yan, Haaris Rasool, Hongxia Guo","doi":"10.1109/EPEC.2018.8598344","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598344","url":null,"abstract":"The different variants of droop controls for the multiple Virtual Synchronous Generator (VSG) sources to form an island microgrid is discussed in this paper. The droop control ω-P is basically a decentralized control that defines the frequency variation of a microgrid on the increase in load. The control equation for the equivalent ω-P slope for two VSGs is derived to see the effect of a load on the overall system's frequency. In the parallel VSG system, the power distribution among the multiple VSGs is dependent on the droop control. The correlation of multiple VSGs is presented in this paper that can bring the firm coordination between the different sources in stabilizing the system; by finding the dependency of each VSG on a microgrid. Furthermore, the master-slave control is introduced to acquire the maximum power of one VSG (e.g. solar) by following the instant frequency of a system as a reference, instead of constant reference frequency. Following controls are verified by performing the experiments on an island microgrid system and the results are shown through graphs.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116345092","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598351
Takuma Hirasawa, S. Obara, K. Nagano, Tomoaki Murakami, Osamu Kawae, Aya Togashi
In recent years, a smart house combining renewable energy systems has been rapidly developed. In our laboratory, we develop an algorithm to decide the operation plan of the storage battery introduced in the smart house. In the previous research, we simulated the operation of storage batteries for representative day aimed at leveling power load. From the simulation results on the representative day of the January, April and July, the power load is leveled in each month. Also, the average value of the power demand after power load leveling in one day is defined as the power load leveling line. However, because the power load leveling line differs from each day, it is necessary to investigate the change of the power load leveling line in several days. Also, in predicting power demand for one house, because how to use electricity is left to customers, predicting power demand is difficult. When planning the operation of storage batteries for several days with multiple houses, because the demand power is smoothed by the smoothing effect, it is expected that the power load leveling line will almost unchanged on each days. However, it has not been investigated how much the power load leveling line will change. Therefore, in this paper, we simulate the operation of storage batteries in one house or 20 houses for 3 days and investigate the change of the power load leveling line. Furthermore, this paper shows how the fluctuation width of the power load leveling line by 20 houses can be suppressed more than in one house. The smart house system consists of a storage battery, bidirectional inverter, photovoltaic power generation, and electric demand load, which connected to the commercial power grid. Operation of storage batteries is planned by Genetic Algorithm (GA) analysis method. The simulation period is from 14th to 16th in Kitami City, Hokkaido, in January (winter), April (middle term), July (summer). The data using for simulation is solar radiation data obtained from NEDO, and power demand data obtained from Hokkaido Electric Power. The simulation result shows that the fluctuation width of the power load leveling line for 3 days in 20 houses is smaller than one house, and further the fluctuation width of January, April and July in 20 houses for 3 days can be reduced by 6.6%, 0.2% and 27.3% than one house. We shows that power management is better to control at multiple houses.
{"title":"Development of an optimum operation algorithm for smart house with storage battery control based on demonstration tests","authors":"Takuma Hirasawa, S. Obara, K. Nagano, Tomoaki Murakami, Osamu Kawae, Aya Togashi","doi":"10.1109/EPEC.2018.8598351","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598351","url":null,"abstract":"In recent years, a smart house combining renewable energy systems has been rapidly developed. In our laboratory, we develop an algorithm to decide the operation plan of the storage battery introduced in the smart house. In the previous research, we simulated the operation of storage batteries for representative day aimed at leveling power load. From the simulation results on the representative day of the January, April and July, the power load is leveled in each month. Also, the average value of the power demand after power load leveling in one day is defined as the power load leveling line. However, because the power load leveling line differs from each day, it is necessary to investigate the change of the power load leveling line in several days. Also, in predicting power demand for one house, because how to use electricity is left to customers, predicting power demand is difficult. When planning the operation of storage batteries for several days with multiple houses, because the demand power is smoothed by the smoothing effect, it is expected that the power load leveling line will almost unchanged on each days. However, it has not been investigated how much the power load leveling line will change. Therefore, in this paper, we simulate the operation of storage batteries in one house or 20 houses for 3 days and investigate the change of the power load leveling line. Furthermore, this paper shows how the fluctuation width of the power load leveling line by 20 houses can be suppressed more than in one house. The smart house system consists of a storage battery, bidirectional inverter, photovoltaic power generation, and electric demand load, which connected to the commercial power grid. Operation of storage batteries is planned by Genetic Algorithm (GA) analysis method. The simulation period is from 14th to 16th in Kitami City, Hokkaido, in January (winter), April (middle term), July (summer). The data using for simulation is solar radiation data obtained from NEDO, and power demand data obtained from Hokkaido Electric Power. The simulation result shows that the fluctuation width of the power load leveling line for 3 days in 20 houses is smaller than one house, and further the fluctuation width of January, April and July in 20 houses for 3 days can be reduced by 6.6%, 0.2% and 27.3% than one house. We shows that power management is better to control at multiple houses.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124296210","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598312
H. Lahiji, F. B. Ajaei, G. Stevens
This paper investigates the impacts of different short line modeling strategies on the accuracy of the electromagnetic transient studies performed on a DC microgrid. The results of detailed studies performed in the PSCAD/EMTD software environment indicate that inaccurate modeling of the impedances of even short lines, e.g., 20 m cables, which connect DERs to DC buses can cause significant error in simulation results. Based on the performed analytical and numerical investigations, it is shown that even the short cables in the DC microgrid should be represented by series RL branches or PI section models rather than ideal conductors. In addition, it was observed that there is no considerable difference between the results obtained using the RL model and the PI section model of short cables for typical transient, control, protection, and stability studies, i.e., studies that do not involve transients in the frequency range above tens of kHz.
{"title":"Modeling Short Lines for Time-Domain Simulation of the DC Microgrid","authors":"H. Lahiji, F. B. Ajaei, G. Stevens","doi":"10.1109/EPEC.2018.8598312","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598312","url":null,"abstract":"This paper investigates the impacts of different short line modeling strategies on the accuracy of the electromagnetic transient studies performed on a DC microgrid. The results of detailed studies performed in the PSCAD/EMTD software environment indicate that inaccurate modeling of the impedances of even short lines, e.g., 20 m cables, which connect DERs to DC buses can cause significant error in simulation results. Based on the performed analytical and numerical investigations, it is shown that even the short cables in the DC microgrid should be represented by series RL branches or PI section models rather than ideal conductors. In addition, it was observed that there is no considerable difference between the results obtained using the RL model and the PI section model of short cables for typical transient, control, protection, and stability studies, i.e., studies that do not involve transients in the frequency range above tens of kHz.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132916227","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598283
Maisam Wahbah, Omar Alhussein, T. El-Fouly, B. Zahawi, S. Muhaidat
An accurate statistical estimation of wind speed probability density at a given site is crucial when making power network planning decisions involving wind generation resources. The use of parametric probability density functions, such as the Rayleigh, Weibull and Gaussian distributions, can be problematic as it can lead to model mis-specification at a given site. In this paper, the use of the Gaussian Mixture Model (GMM) to estimate wind speed variability is investigated and compared with the above three popular parametric models using wind speed data for six sites in northwest Europe. Results show that the GMM produces the lowest error values with the highest percentage improvements, and is the only model that consistently fails to reject the null hypothesis when conducting the K-S goodness-of-fit test.
{"title":"Evaluation of Parametric Statistical Models for Wind Speed Probability Density Estimation","authors":"Maisam Wahbah, Omar Alhussein, T. El-Fouly, B. Zahawi, S. Muhaidat","doi":"10.1109/EPEC.2018.8598283","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598283","url":null,"abstract":"An accurate statistical estimation of wind speed probability density at a given site is crucial when making power network planning decisions involving wind generation resources. The use of parametric probability density functions, such as the Rayleigh, Weibull and Gaussian distributions, can be problematic as it can lead to model mis-specification at a given site. In this paper, the use of the Gaussian Mixture Model (GMM) to estimate wind speed variability is investigated and compared with the above three popular parametric models using wind speed data for six sites in northwest Europe. Results show that the GMM produces the lowest error values with the highest percentage improvements, and is the only model that consistently fails to reject the null hypothesis when conducting the K-S goodness-of-fit test.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114448994","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598389
K. Saleh, E. El-Saadany, H. Zeineldin
Undetected faults within photovoltaic (PV) arrays can result in permanent power loss and major catastrophic failures. This paper proposes a current-based protection scheme that detects and classifies string-to-ground and string-to-string faults in utility-scale PV arrays. The protection scheme operates based on string current waveforms comparison. Some salient features of this method include its capability to distinguish between fault and partial shading conditions, and its independence from meteorological data. The performance of the proposed approach is assessed on a utility-scale PV array under various conditions. The results verify the scheme's selectivity, sensitivity, high speed, and scalability.
{"title":"Current-Based Protection Scheme for Faults Within Utility-Scale Photovoltaic Arrays","authors":"K. Saleh, E. El-Saadany, H. Zeineldin","doi":"10.1109/EPEC.2018.8598389","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598389","url":null,"abstract":"Undetected faults within photovoltaic (PV) arrays can result in permanent power loss and major catastrophic failures. This paper proposes a current-based protection scheme that detects and classifies string-to-ground and string-to-string faults in utility-scale PV arrays. The protection scheme operates based on string current waveforms comparison. Some salient features of this method include its capability to distinguish between fault and partial shading conditions, and its independence from meteorological data. The performance of the proposed approach is assessed on a utility-scale PV array under various conditions. The results verify the scheme's selectivity, sensitivity, high speed, and scalability.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114595557","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598399
A. Al-Qallaf, K. El-Sankary
Switched capacitor converter control schemes that are reported in literature fall in the category of ON-OFF control strategies. Other strategies include frequency modulated compensators, such as PI or PID control schemes. This paper proposes the use of fuzzy logic control based control schemes for such systems. The system under test is a unity switched capacitor converter, with specified load requirements, the controller is designed and tested under different operating conditions.
{"title":"Design of Frequency Modulated Fuzzy Logic Controller for Switched Capacitor Converter","authors":"A. Al-Qallaf, K. El-Sankary","doi":"10.1109/EPEC.2018.8598399","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598399","url":null,"abstract":"Switched capacitor converter control schemes that are reported in literature fall in the category of ON-OFF control strategies. Other strategies include frequency modulated compensators, such as PI or PID control schemes. This paper proposes the use of fuzzy logic control based control schemes for such systems. The system under test is a unity switched capacitor converter, with specified load requirements, the controller is designed and tested under different operating conditions.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123608675","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598341
S. Hosseini, I. Hahn
The energy consumed over a limited operation time of an electrical drive has a huge impact on the energy consumption in a production line, and therefore, affects directly the economics of a factory or company. Although polynomial interpolation with cubic, quartic or quintic polynomials has been widely used in the literature for motion planning purposes, these polynomials have also some major drawbacks. One of these drawbacks is an insufficient smooth trajectory profile. The other problem is not having adequate equations to solve the problem of using seventh-order polynomials for pre-specified positions, velocities, accelerations and jerks in every specified control points or time intervals during the desired path. Instead, seventh-order or higher-order-polynomials are used to satisfy more boundary conditions to overcome the problem of specifying desired position, velocity, acceleration and jerk at the specified control points. Another method that is used for the trajectory planning, is to use spline interpolation polynomials. A comparison between different methods will be done, and their impact on the overall energy consumption of the system will be discussed.
{"title":"Energy-Efficient Motion Planning for Electrical Drives","authors":"S. Hosseini, I. Hahn","doi":"10.1109/EPEC.2018.8598341","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598341","url":null,"abstract":"The energy consumed over a limited operation time of an electrical drive has a huge impact on the energy consumption in a production line, and therefore, affects directly the economics of a factory or company. Although polynomial interpolation with cubic, quartic or quintic polynomials has been widely used in the literature for motion planning purposes, these polynomials have also some major drawbacks. One of these drawbacks is an insufficient smooth trajectory profile. The other problem is not having adequate equations to solve the problem of using seventh-order polynomials for pre-specified positions, velocities, accelerations and jerks in every specified control points or time intervals during the desired path. Instead, seventh-order or higher-order-polynomials are used to satisfy more boundary conditions to overcome the problem of specifying desired position, velocity, acceleration and jerk at the specified control points. Another method that is used for the trajectory planning, is to use spline interpolation polynomials. A comparison between different methods will be done, and their impact on the overall energy consumption of the system will be discussed.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"6 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129294210","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598318
Qurban Ali Shah Sved, I. Hahn
The flux focusing type double stator and single rotor (DSSR) axial flux permanent magnet motor (AFPM) has a high torque density and an inherent compact multipolar disc-type structure, which is suitable for the direct-drive in-wheel traction applications, such as electric vehicles (EVs), hybrid electric vehicles (HEVs) and electric bikes and scooters etc. In this paper, the flux focusing type DSSR AFPM is analyzed using a 3D finite element analysis (FEA) method. The permanent magnets (PMs) are inserted in the rotor for the flux focusing, and the stator has fractional slot and double layer concentrated tooth coil windings to reduce the end winding length. The influence of the magnetic bridges or ribs of the rotor on the performance of the flux focusing type DSSR AFPM is investigated, using a 3D FEA.
{"title":"Influence of the Magnetic Bridges on the Flux Focusing Type Axial Flux Permanent Magnet Motor","authors":"Qurban Ali Shah Sved, I. Hahn","doi":"10.1109/EPEC.2018.8598318","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598318","url":null,"abstract":"The flux focusing type double stator and single rotor (DSSR) axial flux permanent magnet motor (AFPM) has a high torque density and an inherent compact multipolar disc-type structure, which is suitable for the direct-drive in-wheel traction applications, such as electric vehicles (EVs), hybrid electric vehicles (HEVs) and electric bikes and scooters etc. In this paper, the flux focusing type DSSR AFPM is analyzed using a 3D finite element analysis (FEA) method. The permanent magnets (PMs) are inserted in the rotor for the flux focusing, and the stator has fractional slot and double layer concentrated tooth coil windings to reduce the end winding length. The influence of the magnetic bridges or ribs of the rotor on the performance of the flux focusing type DSSR AFPM is investigated, using a 3D FEA.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123736941","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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