Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862444
Shivanshu Kumar, H. S. Bhattacharyya, A. B. Choudhury, C. K. Chanda
Lithium-ion battery is the most popular battery in the world of electric vehicles; it does have some disadvantages, such as capacity fading and power fading. Capacity fade in a lithium-ion battery is affected by a loss of active electrode material and active lithium, whereas power fade is caused by rise in the battery's internal resistance. In this paper, we use various least square approaches to estimate a lithium-ion batteries capacity and also minimize the sum squared error though Teacher Learning-Based Optimization technique. For this, 8 cells are selected, out of which the most and least degraded cells being trained to determine the parameters of the predicted capacity model, and then the remaining cells being tested against the trained cells to estimate the capacity with that predicted model using different least square methods. From the result, the maximum MAPE has been found to be approximately 1.5 % using all approaches.
{"title":"Capacity Estimation of Lithium-ion Battery with Least Squares Methods","authors":"Shivanshu Kumar, H. S. Bhattacharyya, A. B. Choudhury, C. K. Chanda","doi":"10.1109/ICICCSP53532.2022.9862444","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862444","url":null,"abstract":"Lithium-ion battery is the most popular battery in the world of electric vehicles; it does have some disadvantages, such as capacity fading and power fading. Capacity fade in a lithium-ion battery is affected by a loss of active electrode material and active lithium, whereas power fade is caused by rise in the battery's internal resistance. In this paper, we use various least square approaches to estimate a lithium-ion batteries capacity and also minimize the sum squared error though Teacher Learning-Based Optimization technique. For this, 8 cells are selected, out of which the most and least degraded cells being trained to determine the parameters of the predicted capacity model, and then the remaining cells being tested against the trained cells to estimate the capacity with that predicted model using different least square methods. From the result, the maximum MAPE has been found to be approximately 1.5 % using all approaches.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129315453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862403
Godvin Joseph, Lalith Kumar Sahu
This paper presents a fault detection technique that can be implemented in most of the dc-ac converters for the detection of open circuit switch faults. The proposed fault detection method uses a fault detection module (FDM) based on transistor logic which can be connected across individual power electronic switches in the topology. A faulty switch in topology is identified on the basis of charge across the capacitor present in this FDM. A switch is healthy if the voltage across this capacitor is nearly zero and not healthy if the capacitor is fully charged. There is no need for additional fault detecting algorithms for this fault detection method. This fault detection technique is simulated on an H-bridge inverter. The effectiveness of the FDM is validated by hardware implementation on an H-bridge inverter.
{"title":"Open Circuit Fault Detection Method for H-Bridge using Transistor Logic Fault Detection Module","authors":"Godvin Joseph, Lalith Kumar Sahu","doi":"10.1109/ICICCSP53532.2022.9862403","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862403","url":null,"abstract":"This paper presents a fault detection technique that can be implemented in most of the dc-ac converters for the detection of open circuit switch faults. The proposed fault detection method uses a fault detection module (FDM) based on transistor logic which can be connected across individual power electronic switches in the topology. A faulty switch in topology is identified on the basis of charge across the capacitor present in this FDM. A switch is healthy if the voltage across this capacitor is nearly zero and not healthy if the capacitor is fully charged. There is no need for additional fault detecting algorithms for this fault detection method. This fault detection technique is simulated on an H-bridge inverter. The effectiveness of the FDM is validated by hardware implementation on an H-bridge inverter.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128566128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862373
Ashish A. Dongre, J. Mishra, Ravi Kumar Majji
This paper presents a new way to integrate Dynamic Voltage Restorer (DVR) and grid-connected Photovoltaic (PV) structure using Nine Switch Converter (NSC) to mitigate voltage sag and supply power to critical voltage sensitive load. NSC configuration provides two different three-phase outputs. One output of the NSC is arranged in a series connection near the point of common coupling (PCC), and the other is arranged in a shunt connection near the load end. The series connection helps to mitigate supply voltage sag and distortion problems while the shunt output provides PV power in the connected network. A PV-fed boost converter powers the DC side of the NSC. Here the Synchronous Reference Frame (SRF) theory generates the control signals for NSC, and to track the maximum power from the PV panel, an incremental conductance algorithm (INC) is used. At different operating conditions, the validity of the proposed system is verified using MATLAB/Simulink.
{"title":"Nine Switch Multifunctional Converter Configuration for Integrating Dynamic Voltage Restorer and Solar Photovoltaic","authors":"Ashish A. Dongre, J. Mishra, Ravi Kumar Majji","doi":"10.1109/ICICCSP53532.2022.9862373","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862373","url":null,"abstract":"This paper presents a new way to integrate Dynamic Voltage Restorer (DVR) and grid-connected Photovoltaic (PV) structure using Nine Switch Converter (NSC) to mitigate voltage sag and supply power to critical voltage sensitive load. NSC configuration provides two different three-phase outputs. One output of the NSC is arranged in a series connection near the point of common coupling (PCC), and the other is arranged in a shunt connection near the load end. The series connection helps to mitigate supply voltage sag and distortion problems while the shunt output provides PV power in the connected network. A PV-fed boost converter powers the DC side of the NSC. Here the Synchronous Reference Frame (SRF) theory generates the control signals for NSC, and to track the maximum power from the PV panel, an incremental conductance algorithm (INC) is used. At different operating conditions, the validity of the proposed system is verified using MATLAB/Simulink.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129139906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862490
B. T. Narayane, A. Lavanya, P. Thevamudhan, Muhammed Arshad Javad, M. Vijayalaxmi
The Brushless DC motor is a reliable motor, which exhibits characteristics such as high torque to power ratio, high efficiency, compact size and lower maintenance due to brushless structure. Due to these merits, this paper proposes to develop a solar fedBrushless DC motor drivenair-cooling system, which can operate satisfactorily for longer time periods as compared to brushed motors. To ensure the constant speed of the Brushless DC motor, Proportional Integral controller is used. In addition, the controller parameters of Proportional Integral controllerare tuned with soft computing techniques such as Fuzzy logic, Artificial Neural Network and Adaptive Neuro Fuzzy Inference System to obtain the better performance in the proposed system. The performance of PV array and speed control of the BLDC motor for air cooling system is analyzedin MATLAB Simulink environment.
{"title":"BLDC Motor Driven Solar Powered Air-Cooling System","authors":"B. T. Narayane, A. Lavanya, P. Thevamudhan, Muhammed Arshad Javad, M. Vijayalaxmi","doi":"10.1109/ICICCSP53532.2022.9862490","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862490","url":null,"abstract":"The Brushless DC motor is a reliable motor, which exhibits characteristics such as high torque to power ratio, high efficiency, compact size and lower maintenance due to brushless structure. Due to these merits, this paper proposes to develop a solar fedBrushless DC motor drivenair-cooling system, which can operate satisfactorily for longer time periods as compared to brushed motors. To ensure the constant speed of the Brushless DC motor, Proportional Integral controller is used. In addition, the controller parameters of Proportional Integral controllerare tuned with soft computing techniques such as Fuzzy logic, Artificial Neural Network and Adaptive Neuro Fuzzy Inference System to obtain the better performance in the proposed system. The performance of PV array and speed control of the BLDC motor for air cooling system is analyzedin MATLAB Simulink environment.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116858791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862317
S. Pradhan, A. Sahoo, R. Jena
Direct Torque Control (DTC) is the most frequently employed approach in electric vehicles due to its numerous benefits. However, torque ripples reduce the system's efficiency due to the hysteresis comparators. This results in variable frequency operation, while the finite frequency sampling produces a pseudorandom overshoot of the hysteresis band. Thus, operation at low speeds, mainly when motor resistances vary, affects the machine's behavior. In this paper, a switching scheme for speed control of induction motor driven EV is assessed in light of Space Vector Modulation to improve the performance. The findings of the simulation study represent a reduction in torque, flux ripple, and current harmonics. A comparative analysis of the proposed technique with the conventional DTC shows improved performance.
{"title":"Comparison of DTC and SVM - DTC of Induction motor drive for Electric Vehicle application","authors":"S. Pradhan, A. Sahoo, R. Jena","doi":"10.1109/ICICCSP53532.2022.9862317","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862317","url":null,"abstract":"Direct Torque Control (DTC) is the most frequently employed approach in electric vehicles due to its numerous benefits. However, torque ripples reduce the system's efficiency due to the hysteresis comparators. This results in variable frequency operation, while the finite frequency sampling produces a pseudorandom overshoot of the hysteresis band. Thus, operation at low speeds, mainly when motor resistances vary, affects the machine's behavior. In this paper, a switching scheme for speed control of induction motor driven EV is assessed in light of Space Vector Modulation to improve the performance. The findings of the simulation study represent a reduction in torque, flux ripple, and current harmonics. A comparative analysis of the proposed technique with the conventional DTC shows improved performance.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117296995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862349
Kumaresh Pal, A. K. Akella, K. Namrata, Subhendu Pati
Recognition and detection of face are the most important aspects in different fields like video surveillance, interface of computer with human and database management of images. This paper discusses about the feature extraction of an image using Gabor transform and then the extracted output is used as the input to the neural network. The training of the neural network is done with input image data. The Gabor wavelet gives emphasis to the vital parts of the face containing cheeks, mouth, nose and eye. Neural network used as a classifier technique for doing the recognition and unrecognizing of face. Also in this paper a hybrid technique using wavelet transform and neural network called as wavelet neural network (WNN) is used for the face detection. The multi scale analysis quality of wavelet transforms and the classification ability of artificial neural network is combined in the WNN. The accuracy of face detection is more with this hybrid WNN approach. Three main issues of face recognition are pre-processing of image, feature extraction of the image and classification of the input image. The results of both the proposed images are disused to show its accuracy.
{"title":"Face Detection Using Artificial Neural Network and Wavelet Neural Network","authors":"Kumaresh Pal, A. K. Akella, K. Namrata, Subhendu Pati","doi":"10.1109/ICICCSP53532.2022.9862349","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862349","url":null,"abstract":"Recognition and detection of face are the most important aspects in different fields like video surveillance, interface of computer with human and database management of images. This paper discusses about the feature extraction of an image using Gabor transform and then the extracted output is used as the input to the neural network. The training of the neural network is done with input image data. The Gabor wavelet gives emphasis to the vital parts of the face containing cheeks, mouth, nose and eye. Neural network used as a classifier technique for doing the recognition and unrecognizing of face. Also in this paper a hybrid technique using wavelet transform and neural network called as wavelet neural network (WNN) is used for the face detection. The multi scale analysis quality of wavelet transforms and the classification ability of artificial neural network is combined in the WNN. The accuracy of face detection is more with this hybrid WNN approach. Three main issues of face recognition are pre-processing of image, feature extraction of the image and classification of the input image. The results of both the proposed images are disused to show its accuracy.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117314386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862508
Shivangi Burman, M. Dubey
In this research work, designing of Cuk converter which operated in a closed loop using PI controller technique to maintain the respective reference voltage has been carried out. The regulated voltage obtained at the DC link capacitor terminals is then provided to the voltage source inverter (VSI) in order to feed the load. The Cuk converter generated inverting output. A BLDC motor is considered as a load in this research work. The Cuk is a type of DC-to-DC converter that either increases or decreases the output voltage according to our needs. In addition, Cuk converter provides advantages like high efficiency, having simple configuration, not having any transformer hence low losses, operates on high frequency and easy control strategy. In this paper, the performance of BLDC motor is analyses on the basis of its transient performance, steady state performance and dynamic performance. These results are generated using MATLAB/Simulink.
{"title":"Design an Efficient Cuk Converter for a BLDC Motor Drive","authors":"Shivangi Burman, M. Dubey","doi":"10.1109/ICICCSP53532.2022.9862508","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862508","url":null,"abstract":"In this research work, designing of Cuk converter which operated in a closed loop using PI controller technique to maintain the respective reference voltage has been carried out. The regulated voltage obtained at the DC link capacitor terminals is then provided to the voltage source inverter (VSI) in order to feed the load. The Cuk converter generated inverting output. A BLDC motor is considered as a load in this research work. The Cuk is a type of DC-to-DC converter that either increases or decreases the output voltage according to our needs. In addition, Cuk converter provides advantages like high efficiency, having simple configuration, not having any transformer hence low losses, operates on high frequency and easy control strategy. In this paper, the performance of BLDC motor is analyses on the basis of its transient performance, steady state performance and dynamic performance. These results are generated using MATLAB/Simulink.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114458206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862458
M. Saini, Shagufta Khan, Vipul Dutt Mishra, Manav Mehra, Deeksha Singh, Gopal Sengar
The evolution of transportation with non-renewable resources is playing a vital role in increasing pollution which leads to global warming. The alarming state of global warming necessitates the complete adoption of renewable energy-based transportation infrastructure. This led to the adoption of new primary energy sources. The evolution of transportation and the increasing number of Electric Vehicles (EVs) will also affect the charging status. This research paper provides a solution to overcome the problem of charging EVs by the use of renewable energy sources. In this study the energy source used to charge the vehicle is a combination of renewable and non-renewable, specifically here in the vehicle is charged by the combination of solar energy and electricity, depending upon their availability. Solar energy will be used to charge the car first, but if it is not available at the time, the vehicle can still be charged using electricity. Using the concept, the vehicle is charged through a hybrid system. To monitor and control the battery health and status of the EVs, the IoT embedded smart sensors will be used here.
{"title":"IoT Based Hybrid EV Charging System with Data Processing","authors":"M. Saini, Shagufta Khan, Vipul Dutt Mishra, Manav Mehra, Deeksha Singh, Gopal Sengar","doi":"10.1109/ICICCSP53532.2022.9862458","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862458","url":null,"abstract":"The evolution of transportation with non-renewable resources is playing a vital role in increasing pollution which leads to global warming. The alarming state of global warming necessitates the complete adoption of renewable energy-based transportation infrastructure. This led to the adoption of new primary energy sources. The evolution of transportation and the increasing number of Electric Vehicles (EVs) will also affect the charging status. This research paper provides a solution to overcome the problem of charging EVs by the use of renewable energy sources. In this study the energy source used to charge the vehicle is a combination of renewable and non-renewable, specifically here in the vehicle is charged by the combination of solar energy and electricity, depending upon their availability. Solar energy will be used to charge the car first, but if it is not available at the time, the vehicle can still be charged using electricity. Using the concept, the vehicle is charged through a hybrid system. To monitor and control the battery health and status of the EVs, the IoT embedded smart sensors will be used here.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115303158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862375
V. Yadav, Vikas Sharma, Ganesh P. Prajapat, J. Kundu, Atul Sharma, N. K. Gupta
Light Emitting Diode (LED) showcases a better performance than conventional lighting methods. The LED load's circuit, also known as an LED driver, can be categorized into a single-stage, multi-stage, or integrated stage topology. This paper puts a thin line description on the history and development of LED, its characteristics and different packings, OLED modeling and electrical characteristics of LED. It also showcases different standards and regulations for LEDs and testing methods for LEDs. This work, in general is expected to be utilized by a researcher and engineers to make an appropriate choice while selecting a circuit for LED.
{"title":"A Review on Light-Emitting-Diodes Characteristics","authors":"V. Yadav, Vikas Sharma, Ganesh P. Prajapat, J. Kundu, Atul Sharma, N. K. Gupta","doi":"10.1109/ICICCSP53532.2022.9862375","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862375","url":null,"abstract":"Light Emitting Diode (LED) showcases a better performance than conventional lighting methods. The LED load's circuit, also known as an LED driver, can be categorized into a single-stage, multi-stage, or integrated stage topology. This paper puts a thin line description on the history and development of LED, its characteristics and different packings, OLED modeling and electrical characteristics of LED. It also showcases different standards and regulations for LEDs and testing methods for LEDs. This work, in general is expected to be utilized by a researcher and engineers to make an appropriate choice while selecting a circuit for LED.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116249523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-21DOI: 10.1109/ICICCSP53532.2022.9862354
T. Panigrahi, S. Das, Rajasri Tripathy
The new trends of custom power devices (CPD) has vastly improved due to cost effective and improved reactive power management. The CPD-like hybrid active filter (HAF) is proposed in this literature using various current control approaches to enhance power quality (PQ) by controlling harmonics reduction and managing reactive power. With steady-state and transient situations, three different controlling techniques are adopted in this research. Performance of the proposed approaches' is evaluated using the MATLAB/Simulink tool, and the overall percentage of total harmonic distortions (THD) is calculated following IEEE harmonic standards.
{"title":"Power Quality Improvement Using Different Control Techniques in Hybrid Filters","authors":"T. Panigrahi, S. Das, Rajasri Tripathy","doi":"10.1109/ICICCSP53532.2022.9862354","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862354","url":null,"abstract":"The new trends of custom power devices (CPD) has vastly improved due to cost effective and improved reactive power management. The CPD-like hybrid active filter (HAF) is proposed in this literature using various current control approaches to enhance power quality (PQ) by controlling harmonics reduction and managing reactive power. With steady-state and transient situations, three different controlling techniques are adopted in this research. Performance of the proposed approaches' is evaluated using the MATLAB/Simulink tool, and the overall percentage of total harmonic distortions (THD) is calculated following IEEE harmonic standards.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114757545","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：