Pub Date : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060025
P. Mochi, K. Pandya
The aim of the paper is to investigate the effect of electricity conservation nudge on the system cost and revenue of prosumers in local electricity market. To motivate the prosumers for energy conservation, a socio economic aspect is considered in terms of social nudge. The mixed integer linear programming problem is modeled considering economics at the center of objective function. The experiment is carried out for 40 prosumers in four different cases including base case. These cases are created based on the empirical reaction of prosumers on receiving the social nudge for electricity saving. The system cost and revenue generated by prosumers are compared for various cases. The highest cost saving of 14.92% is obtained. The results reveal that inclusion of socio economic aspect in local electricity market has tremendous potential to enhance the system operation. Moreover, the propose approach could be very helpful in increasing the willingness of consumers to become a prosumer by participating in local electricity market, and hence improve environmental ecology.
{"title":"The Impact of Social Nudge on System Cost & Revenue Optimization in Local Electricity Market","authors":"P. Mochi, K. Pandya","doi":"10.1109/ICPEE54198.2023.10060025","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060025","url":null,"abstract":"The aim of the paper is to investigate the effect of electricity conservation nudge on the system cost and revenue of prosumers in local electricity market. To motivate the prosumers for energy conservation, a socio economic aspect is considered in terms of social nudge. The mixed integer linear programming problem is modeled considering economics at the center of objective function. The experiment is carried out for 40 prosumers in four different cases including base case. These cases are created based on the empirical reaction of prosumers on receiving the social nudge for electricity saving. The system cost and revenue generated by prosumers are compared for various cases. The highest cost saving of 14.92% is obtained. The results reveal that inclusion of socio economic aspect in local electricity market has tremendous potential to enhance the system operation. Moreover, the propose approach could be very helpful in increasing the willingness of consumers to become a prosumer by participating in local electricity market, and hence improve environmental ecology.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116656179","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060023
Priyanshu Srivastav, K. Sandhya, K. Chatterjee
Over a decade, significant increase in generation of electricity from wind has been seen. Efficient increase in the integration of wind energy can be achieved by utilizing highly efficient and reliable wind turbines. Amid the various turbine available for wind extraction PMSG is one of the most promising technologies used nowadays. It allows variable speed operation with high efficiency. To achieve this, various control techniques are used for optimal power extraction. This paper proposes control techniques of pitch angle control (PAC) on the generator side and voltage-oriented control (VOC) on the grid side to achieve optimal power extraction for variable wind speed operation. In this paper, the study is carried out using simulation in MATLAB/SIMULINK and the effectiveness of the proposed control techniques is validated in real-time using the OPAL-RT simulator.
{"title":"Hardware Simulator Design of Variable Speed PMSG for Robust Grid Interface using Pitch Angle and Voltage-Oriented Control","authors":"Priyanshu Srivastav, K. Sandhya, K. Chatterjee","doi":"10.1109/ICPEE54198.2023.10060023","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060023","url":null,"abstract":"Over a decade, significant increase in generation of electricity from wind has been seen. Efficient increase in the integration of wind energy can be achieved by utilizing highly efficient and reliable wind turbines. Amid the various turbine available for wind extraction PMSG is one of the most promising technologies used nowadays. It allows variable speed operation with high efficiency. To achieve this, various control techniques are used for optimal power extraction. This paper proposes control techniques of pitch angle control (PAC) on the generator side and voltage-oriented control (VOC) on the grid side to achieve optimal power extraction for variable wind speed operation. In this paper, the study is carried out using simulation in MATLAB/SIMULINK and the effectiveness of the proposed control techniques is validated in real-time using the OPAL-RT simulator.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117133626","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060798
Harshit Rathore, Hemant Kumar Meena, P. Jain
As climatic crisis increasing in the world due to the increasing pollution day by day, in which one of the important contributor is the increasing demand for energy,it has been found that 25 percent of the global energy consumption is only due to transportation sector, so in order to minimize the effect due to transportation sector we have to shift from Internal Combustion Engine (ICE) to battery based Electric Vehicle (EVs), there are several issues that need to be addressed to encourage the adoption of EVs on large scale, one of the severe effect due to large scale adoption of EVs is on the grid, large scale deployment of EVs causes overloading on the power grid due to the unscheduled charging of the EVs, in order to reduce this overloading of the grid proper scheduling algorithm are needed by which we can scheduled the charging of EVs and growing public charging demand for EVs. For this data-driven tools can be utilized which can predict the various parameters like energy consumption, time of charging, whether the EVs use charging stationtomorrow, use of DC fast charging etc, in this paper we are focusing on the prediction of energy consumption by using the historical charging data of the EVs by using various popular machine learning (ML) algorithm such as Random Forest, XGboost, linear Regression, ANN and DNN. The best predictive results are obtained by Random Forest and XGboost, and various result of past work is also discussed.
{"title":"Prediction of EV Energy consumption Using Random Forest And XGBoost","authors":"Harshit Rathore, Hemant Kumar Meena, P. Jain","doi":"10.1109/ICPEE54198.2023.10060798","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060798","url":null,"abstract":"As climatic crisis increasing in the world due to the increasing pollution day by day, in which one of the important contributor is the increasing demand for energy,it has been found that 25 percent of the global energy consumption is only due to transportation sector, so in order to minimize the effect due to transportation sector we have to shift from Internal Combustion Engine (ICE) to battery based Electric Vehicle (EVs), there are several issues that need to be addressed to encourage the adoption of EVs on large scale, one of the severe effect due to large scale adoption of EVs is on the grid, large scale deployment of EVs causes overloading on the power grid due to the unscheduled charging of the EVs, in order to reduce this overloading of the grid proper scheduling algorithm are needed by which we can scheduled the charging of EVs and growing public charging demand for EVs. For this data-driven tools can be utilized which can predict the various parameters like energy consumption, time of charging, whether the EVs use charging stationtomorrow, use of DC fast charging etc, in this paper we are focusing on the prediction of energy consumption by using the historical charging data of the EVs by using various popular machine learning (ML) algorithm such as Random Forest, XGboost, linear Regression, ANN and DNN. The best predictive results are obtained by Random Forest and XGboost, and various result of past work is also discussed.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122537616","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}
For reliable operation, the detection of fault as well as its location are two important challenges to power engineers. This paper presents an approach to focus on judging the location of buses in a power network where faults occurred. A network having radial busfeeder combinations was considered and data are collected from different buses. Then, wavelet decomposition was done. Different coefficients obtained from the results of signal decomposition were scrutinized by their nature of distribution in terms of Kurtosis and Skewness. Then, different machine learning topologies were applied to network signals for discrimination. They are tested with unknown data sets having a different percentage of randomness and compared. One method is found best that shows a high level of accuracy suitable for judgement of the location where faults occurs.
{"title":"Kurtosis-Skewness Scanning and Machine Learning-based Discrimination of Fault Location in Radial Power Distribution Network","authors":"S. Chattopadhyay, Bhaskar Roy, Animesh Bera, Gaurang Humne, Md Sanir Alam, Gopal Bandyopadhyay","doi":"10.1109/ICPEE54198.2023.10060396","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060396","url":null,"abstract":"For reliable operation, the detection of fault as well as its location are two important challenges to power engineers. This paper presents an approach to focus on judging the location of buses in a power network where faults occurred. A network having radial busfeeder combinations was considered and data are collected from different buses. Then, wavelet decomposition was done. Different coefficients obtained from the results of signal decomposition were scrutinized by their nature of distribution in terms of Kurtosis and Skewness. Then, different machine learning topologies were applied to network signals for discrimination. They are tested with unknown data sets having a different percentage of randomness and compared. One method is found best that shows a high level of accuracy suitable for judgement of the location where faults occurs.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129941405","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060054
Mohammad Reza Rasekh, P. Jamwal, Vijayakumar Gali, Mohammad Jawid Ahmadi
This paper presents a high-gain DC-DC converter for a rooftop solar photovoltaic (SPV) system with a multifunctional grid-tied inverter. In order to achieve a smooth integration of roof-top SPV with the utility grid, a high gain DCDC converter is required to boost up to a higher voltage gain, to reduce ripple voltage, and switching stress at the DC bus. Further, this higher gain DC voltage is converted into a three-phase AC voltage of the demanded utility grid by a multifunctionality grid-tied inverter (MFGTI). Hence for integrating the SPV with the utility grid, there are challenges to overcome, such as keeping the grid synchronized, and power quality issues under nonlinear load, & solar irradiation conditions. A modified synchronous reference frame (SRF) control technique is proposed to make the MFGTI capable to inject the active power from SPV into the utility grid. Simultaneously compensate the reactive power, and the current harmonics to improve the PF within the IEEE standard 519-2022. The proposed system is implemented using MATLAB®/Simulink software, and it is evaluated under various solar irradiation, and nonlinear load conditions.
{"title":"Design and Analysis of High Gain DC-DC Boost Converter for Grid Connected Solar Photovoltaic System","authors":"Mohammad Reza Rasekh, P. Jamwal, Vijayakumar Gali, Mohammad Jawid Ahmadi","doi":"10.1109/ICPEE54198.2023.10060054","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060054","url":null,"abstract":"This paper presents a high-gain DC-DC converter for a rooftop solar photovoltaic (SPV) system with a multifunctional grid-tied inverter. In order to achieve a smooth integration of roof-top SPV with the utility grid, a high gain DCDC converter is required to boost up to a higher voltage gain, to reduce ripple voltage, and switching stress at the DC bus. Further, this higher gain DC voltage is converted into a three-phase AC voltage of the demanded utility grid by a multifunctionality grid-tied inverter (MFGTI). Hence for integrating the SPV with the utility grid, there are challenges to overcome, such as keeping the grid synchronized, and power quality issues under nonlinear load, & solar irradiation conditions. A modified synchronous reference frame (SRF) control technique is proposed to make the MFGTI capable to inject the active power from SPV into the utility grid. Simultaneously compensate the reactive power, and the current harmonics to improve the PF within the IEEE standard 519-2022. The proposed system is implemented using MATLAB®/Simulink software, and it is evaluated under various solar irradiation, and nonlinear load conditions.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124690543","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060143
M. Das, S. Swain, C. Nayak, Ritesh Dash
Renewable energy sources have emerged as a viable option to meet the rising energy demand, slow down climate change, and promote sustainable development. This paper offers a collection of unique solutions that permit information interchange between the consumers and the distributed generating center, which state that they need to be managed effectively. The integration of these systems is performed in a distributed manner using microgrid systems. In microgrids, the energy management system should be able to guide and provide efficient control to ensure power supply reliability by both the generation and distribution systems at the lowest possible operating cost. The application of renewable energy sources for energy management in a microgrid system is discussed in this paper, along with performance analysis and a look at the impact of load variation on system performance.
{"title":"Energy Management for a RES-Powered DC Microgrid Under Variable Load","authors":"M. Das, S. Swain, C. Nayak, Ritesh Dash","doi":"10.1109/ICPEE54198.2023.10060143","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060143","url":null,"abstract":"Renewable energy sources have emerged as a viable option to meet the rising energy demand, slow down climate change, and promote sustainable development. This paper offers a collection of unique solutions that permit information interchange between the consumers and the distributed generating center, which state that they need to be managed effectively. The integration of these systems is performed in a distributed manner using microgrid systems. In microgrids, the energy management system should be able to guide and provide efficient control to ensure power supply reliability by both the generation and distribution systems at the lowest possible operating cost. The application of renewable energy sources for energy management in a microgrid system is discussed in this paper, along with performance analysis and a look at the impact of load variation on system performance.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130700299","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}
Diabetes is a disorder of the metabolism caused by high glucose levels in the body. Diabetes causes eye deficiency, also known as Diabetic Retinopathy (DR), which causes significant vision loss over time. Diabetes patients’ vision can be saved if DR is detected and diagnosed early. Microaneurysms, haemorrhages, and exudates are prior signs of DR that emerge on the surface of retina. Nevertheless, diagnosing DR is a challenging problem that necessitates the services of an experienced ophthalmologist. Using an automated classifier, an artificial intelligence based deep learning can assist the ophthalmologist in providing an expert advice related to the assessment of the DR. A large volume of data is required to effectively train the model for the classification of DR, that is a major constraint in the DR area. Transfer learning is a methodwhich could assist in combating image limitation. The central idea behind transfer learning approach is that, this framework was already trained on large set of images which could be fine-tuned to fit for the required set of data. This paper applied transfer learning based VGG16 and InceptionV3 model for the DR classification on a public benchmark IDRiD dataset (Indian Diabetic Retinopathy Image Dataset). These models are used to address the problem and to maximize the results.
{"title":"Application of Transfer Learning Approach for Diabetic Retinopathy Classification","authors":"Nasmin Jiwani, Ketan Gupta, Md. Haris Uddin Sharif, Ripon Datta, Farhan Habib, Neda Afreen","doi":"10.1109/ICPEE54198.2023.10060777","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060777","url":null,"abstract":"Diabetes is a disorder of the metabolism caused by high glucose levels in the body. Diabetes causes eye deficiency, also known as Diabetic Retinopathy (DR), which causes significant vision loss over time. Diabetes patients’ vision can be saved if DR is detected and diagnosed early. Microaneurysms, haemorrhages, and exudates are prior signs of DR that emerge on the surface of retina. Nevertheless, diagnosing DR is a challenging problem that necessitates the services of an experienced ophthalmologist. Using an automated classifier, an artificial intelligence based deep learning can assist the ophthalmologist in providing an expert advice related to the assessment of the DR. A large volume of data is required to effectively train the model for the classification of DR, that is a major constraint in the DR area. Transfer learning is a methodwhich could assist in combating image limitation. The central idea behind transfer learning approach is that, this framework was already trained on large set of images which could be fine-tuned to fit for the required set of data. This paper applied transfer learning based VGG16 and InceptionV3 model for the DR classification on a public benchmark IDRiD dataset (Indian Diabetic Retinopathy Image Dataset). These models are used to address the problem and to maximize the results.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121964183","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10059889
A. Gauri, K. G. Sreeni, G. Shiny
This work presents a Direct Torque Control (DTC) technique for a six-phase asymmetrical induction motor fed with a two-level six-phase inverter for torque ripple minimization. By increasing the levels in conventional torque hysteresis controller, high torque ripples (which is a major problem in basic DTC) can be minimized and dynamic torque response can be improved. But in practice, the inevitable delay existing in the implementation of hysteresis controllers will cause undesirable overshoot and undershoot in the torque response resulting in high ripples. Also, the torque decreasing rate is comparatively higher than that of torque increase which further boosts the torque ripples and degrades the steady-state performance. A five-level torque controller with modified output status is presented here by taking into account the above two limitations. The auxiliary subspace which is inherently present in a six-phase machine causing stator current distortion is also controlled by generating virtual voltage vectors. The resulting DTC drive is validated using MATLAB/Simulink software.
{"title":"Torque Ripple Reduction in Six-phase Induction Motor Drive using DTC Technique","authors":"A. Gauri, K. G. Sreeni, G. Shiny","doi":"10.1109/ICPEE54198.2023.10059889","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10059889","url":null,"abstract":"This work presents a Direct Torque Control (DTC) technique for a six-phase asymmetrical induction motor fed with a two-level six-phase inverter for torque ripple minimization. By increasing the levels in conventional torque hysteresis controller, high torque ripples (which is a major problem in basic DTC) can be minimized and dynamic torque response can be improved. But in practice, the inevitable delay existing in the implementation of hysteresis controllers will cause undesirable overshoot and undershoot in the torque response resulting in high ripples. Also, the torque decreasing rate is comparatively higher than that of torque increase which further boosts the torque ripples and degrades the steady-state performance. A five-level torque controller with modified output status is presented here by taking into account the above two limitations. The auxiliary subspace which is inherently present in a six-phase machine causing stator current distortion is also controlled by generating virtual voltage vectors. The resulting DTC drive is validated using MATLAB/Simulink software.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129112866","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 : 2023-01-03DOI: 10.1109/icpee54198.2023.10060453
{"title":"ICPEE 2023 Blank Page","authors":"","doi":"10.1109/icpee54198.2023.10060453","DOIUrl":"https://doi.org/10.1109/icpee54198.2023.10060453","url":null,"abstract":"","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122575134","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10059829
Vikranth Avusula, Sephali Shradha Khamari, G. S. Rani, R. Behera
Designing of a 3-phase squirrel cage induction motor (IM) for high performance applications with high efficiency, high power factor and torque is a challenging task for a machine designer. This work proposes an efficient 15 kW induction motor with high speed operation for electric vehicle applications. The rotor and stator slot dimensions of IM are analyzed which affects the performance parameters. The IM is designed using JMAG software and the results are presented.
{"title":"Design of 15 kW, 440 V Three Phase Induction Motor for Electrical Vehicle Applications with Improved Efficiency and Wide Speed Range","authors":"Vikranth Avusula, Sephali Shradha Khamari, G. S. Rani, R. Behera","doi":"10.1109/ICPEE54198.2023.10059829","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10059829","url":null,"abstract":"Designing of a 3-phase squirrel cage induction motor (IM) for high performance applications with high efficiency, high power factor and torque is a challenging task for a machine designer. This work proposes an efficient 15 kW induction motor with high speed operation for electric vehicle applications. The rotor and stator slot dimensions of IM are analyzed which affects the performance parameters. The IM is designed using JMAG software and the results are presented.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122804923","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：