Pub Date : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152346
S. Shaikh, M. M. Aman, Usman Ahmed
State estimation is vital tool in observing electrical power system. It is always important to know the operating state of the system with accuracy and less computational efforts. This paper presents a novel data driven approach to perform state estimation of power transmission system using deep neural networks (DNN). The network is trained offline using dataset prepared by generating multiple loading scenarios through programming. The proposed method is evaluated using IEEE 14 bus system with variable Gaussian measurement error at different load buses.
{"title":"Data driven approach for power system state estimation with consideration of multi-level noise","authors":"S. Shaikh, M. M. Aman, Usman Ahmed","doi":"10.1109/ICEPT58859.2023.10152346","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152346","url":null,"abstract":"State estimation is vital tool in observing electrical power system. It is always important to know the operating state of the system with accuracy and less computational efforts. This paper presents a novel data driven approach to perform state estimation of power transmission system using deep neural networks (DNN). The network is trained offline using dataset prepared by generating multiple loading scenarios through programming. The proposed method is evaluated using IEEE 14 bus system with variable Gaussian measurement error at different load buses.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134272819","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152449
M. Ishaq, Muhammad Waqar, M. Afzal
The paper presents a double closed-loop boost converter controller. For regulating output voltage of the boost converter a capacitor, a power switch, and a diode are used. The traditional buck-boost converter has a simple design that achieves high efficiency. Simulink is used to simulate a double closed-loop controller in this manuscript. A double loop is made up of an inner and an outer loop. The outer loop supplies the controller with boost output voltage, while the inner loop supplies the controller with inductor current. The sliding mode controller is regulated by inner loop, whereas the PI controller is regulated by its outer loop. The suggested system is capable of high-voltage photovoltaic applications by using inductors and low-voltage semiconductor devices. The dual closed-loop controller contributes to the achievement of a stable DC output voltage. The converter is capable of producing a broad range of noninverting output voltages. The proposed converter surpasses traditional models in terms of efficiency, voltage gain, ripple content, and dynamic responsiveness. This closed-loop system is durable and dependable, with constant transients and output voltage.
{"title":"Design of Double Closed-Loop Boost Converter Controller to Reduce Transient Voltage Dip for Sudden Load Connection","authors":"M. Ishaq, Muhammad Waqar, M. Afzal","doi":"10.1109/ICEPT58859.2023.10152449","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152449","url":null,"abstract":"The paper presents a double closed-loop boost converter controller. For regulating output voltage of the boost converter a capacitor, a power switch, and a diode are used. The traditional buck-boost converter has a simple design that achieves high efficiency. Simulink is used to simulate a double closed-loop controller in this manuscript. A double loop is made up of an inner and an outer loop. The outer loop supplies the controller with boost output voltage, while the inner loop supplies the controller with inductor current. The sliding mode controller is regulated by inner loop, whereas the PI controller is regulated by its outer loop. The suggested system is capable of high-voltage photovoltaic applications by using inductors and low-voltage semiconductor devices. The dual closed-loop controller contributes to the achievement of a stable DC output voltage. The converter is capable of producing a broad range of noninverting output voltages. The proposed converter surpasses traditional models in terms of efficiency, voltage gain, ripple content, and dynamic responsiveness. This closed-loop system is durable and dependable, with constant transients and output voltage.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115670348","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152338
Abdul Haseeb, M. M. Ashraf, A. Arshad
The electric power industry has placed a high priority on reducing carbon emissions to mitigate their negative impact on the environment and to promote cost-effectiveness. To achieve this goal, the industry is increasingly integrating renewable energy sources, such as solar and wind power, into its expansion planning. However, the effectiveness of these sources varies considerably depending on the location. To minimize carbon emissions and costs, a study was conducted to develop a framework to solve the emission-constrained generation expansion problem using the GAMS optimization tool. This model incorporated a site dependent exploration of renewable energy sources, specifically solar and wind power potential of Pakistan. The study compared the carbon emission results with the base case that did not consider the site dependent Renewable Energy Sources and found that incorporating site-specific Renewable Energy Sources significantly reduced carbon emissions. The research highlights the importance of site-specific selection of renewable energy sources to ensure efficient deployment of renewable energy sources across different locations. It also provides valuable insights into the potential of renewable energy sources to reduce carbon emissions in the electrical power industry. By prioritizing site-specific renewable energy sources, power system planners can effectively incorporate renewable energy sources into their expansion plans to reduce carbon emissions. Exploring Pakistan's renewable potential, as recommended by this study, can reduce the country's reliance on imported fossil fuels for energy generation.
{"title":"Emission Constrained Generation Expansion Planning considering Site-dependent Renewable Energy Sources of Pakistan","authors":"Abdul Haseeb, M. M. Ashraf, A. Arshad","doi":"10.1109/ICEPT58859.2023.10152338","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152338","url":null,"abstract":"The electric power industry has placed a high priority on reducing carbon emissions to mitigate their negative impact on the environment and to promote cost-effectiveness. To achieve this goal, the industry is increasingly integrating renewable energy sources, such as solar and wind power, into its expansion planning. However, the effectiveness of these sources varies considerably depending on the location. To minimize carbon emissions and costs, a study was conducted to develop a framework to solve the emission-constrained generation expansion problem using the GAMS optimization tool. This model incorporated a site dependent exploration of renewable energy sources, specifically solar and wind power potential of Pakistan. The study compared the carbon emission results with the base case that did not consider the site dependent Renewable Energy Sources and found that incorporating site-specific Renewable Energy Sources significantly reduced carbon emissions. The research highlights the importance of site-specific selection of renewable energy sources to ensure efficient deployment of renewable energy sources across different locations. It also provides valuable insights into the potential of renewable energy sources to reduce carbon emissions in the electrical power industry. By prioritizing site-specific renewable energy sources, power system planners can effectively incorporate renewable energy sources into their expansion plans to reduce carbon emissions. Exploring Pakistan's renewable potential, as recommended by this study, can reduce the country's reliance on imported fossil fuels for energy generation.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126060178","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152376
M. Jamil, Kahif Imran, F. Mumtaz, Maliha Shah
Renewable energy integration in transmission networks is more common due to environmental and economical benefits. However, fault detection is a significant subject in such renewable energy-based transmission networks (REBTNs). Furthermore, power transmission lines account for 85 to 87% of all power network faults. The presented research paper proposes an efficient method for detecting and classifying different types of faults on 230-kV REBTNs. Initially, the Adaptive Kalman Filter (AKF) is implemented on the measured 3-Phase current signal for the state estimation of nonfundamental features. Then, the low pass filtering and square law approach is employed for examining the features of the current signal from considered buses. Secondly, the sum of squared current-based fault detection (SSCBFD) and squared current-based fault classification (SCBFC) indices are generated. Then, in case of any faulty condition, considerable variation will be experienced in the SSCBFD and SCBFC indices. A modified IEEE-9 bus test system with a renewable solar energy source is analysed using Matlab/Simulink to determine the efficiency of the suggested methodology. Moreover, the suggested method detects and classifies all kinds of solid and high impedance faults (HIF) successfully and timely.
{"title":"Fault Detection & Classification in 230 kV Transmission Networks Using Hybrid-filtering Approach","authors":"M. Jamil, Kahif Imran, F. Mumtaz, Maliha Shah","doi":"10.1109/ICEPT58859.2023.10152376","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152376","url":null,"abstract":"Renewable energy integration in transmission networks is more common due to environmental and economical benefits. However, fault detection is a significant subject in such renewable energy-based transmission networks (REBTNs). Furthermore, power transmission lines account for 85 to 87% of all power network faults. The presented research paper proposes an efficient method for detecting and classifying different types of faults on 230-kV REBTNs. Initially, the Adaptive Kalman Filter (AKF) is implemented on the measured 3-Phase current signal for the state estimation of nonfundamental features. Then, the low pass filtering and square law approach is employed for examining the features of the current signal from considered buses. Secondly, the sum of squared current-based fault detection (SSCBFD) and squared current-based fault classification (SCBFC) indices are generated. Then, in case of any faulty condition, considerable variation will be experienced in the SSCBFD and SCBFC indices. A modified IEEE-9 bus test system with a renewable solar energy source is analysed using Matlab/Simulink to determine the efficiency of the suggested methodology. Moreover, the suggested method detects and classifies all kinds of solid and high impedance faults (HIF) successfully and timely.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124117295","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152450
Zohair Ahmed Shehzad, Mubeen Ahmad Shaikh, Muhammad Ariz, M. Zakariya, Afaq Hussain
The effective monitoring and control of numerous industrial processes have been made possible by the integration of the Internet of Things (IoT) with machine learning. The IoT and machine learning approaches are used in this research study to provide a unique method for monitoring the parameters of a three-phase induction motor. The suggested system makes use of a variety of sensors to keep track of crucial variables including temperature, humidity, vibration, voltage, and current. The collected data is subsequently transmitted to a cloud-based platform for machine learning algorithm analysis. The study's findings are utilized to forecast the motor's faults and unusual behavior, allowing for the application of corrective and predictive maintenance before any severe damage occurs. The proposed system is appropriate for numerous industrial applications since it is made to be economical and simple to install. The experimental findings indicate that the proposed framework can reliably forecast motor faults, making it a useful tool for industrial motor monitoring and control.
{"title":"IoT & ML-Based Parameter Monitoring of 3-φ Induction Motors for Industrial Application","authors":"Zohair Ahmed Shehzad, Mubeen Ahmad Shaikh, Muhammad Ariz, M. Zakariya, Afaq Hussain","doi":"10.1109/ICEPT58859.2023.10152450","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152450","url":null,"abstract":"The effective monitoring and control of numerous industrial processes have been made possible by the integration of the Internet of Things (IoT) with machine learning. The IoT and machine learning approaches are used in this research study to provide a unique method for monitoring the parameters of a three-phase induction motor. The suggested system makes use of a variety of sensors to keep track of crucial variables including temperature, humidity, vibration, voltage, and current. The collected data is subsequently transmitted to a cloud-based platform for machine learning algorithm analysis. The study's findings are utilized to forecast the motor's faults and unusual behavior, allowing for the application of corrective and predictive maintenance before any severe damage occurs. The proposed system is appropriate for numerous industrial applications since it is made to be economical and simple to install. The experimental findings indicate that the proposed framework can reliably forecast motor faults, making it a useful tool for industrial motor monitoring and control.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122451212","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152428
Malik Shahaan Khalid, Syed Muhammad Jaleed, Arslan Zafar, Sohaib Ali Khan, Hafiz Zia Ur Rehman, Z. Khan
This paper aims to develop a low-cost laser engraving machine. Materials like plastics, acrylic, glass, wood, cardboard, and leather have been used to engrave desired inputs. It have been found that this laser engraving process has a higher precision and accuracy as compared to traditional embellishing and embossing. The laser beam acquires thermal energy, which emerges from the machine and engraves the material. CREO 2.0 software is used for the 3D modeling and simulation of the machine. Arduino and different controller boards are tried and used in assembling the machine in less time. Different dependency and dimensional tests are conducted in order to validate the machine. The results are found to be satisfactory in terms of quality and cost. The final assembly is experimentally verified which is based on a 2D gantry that is mounted with a laser LED payload for laser engraving on various compatible materials.
{"title":"Design and Experimental Verification of a Laser Engraving Machine","authors":"Malik Shahaan Khalid, Syed Muhammad Jaleed, Arslan Zafar, Sohaib Ali Khan, Hafiz Zia Ur Rehman, Z. Khan","doi":"10.1109/ICEPT58859.2023.10152428","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152428","url":null,"abstract":"This paper aims to develop a low-cost laser engraving machine. Materials like plastics, acrylic, glass, wood, cardboard, and leather have been used to engrave desired inputs. It have been found that this laser engraving process has a higher precision and accuracy as compared to traditional embellishing and embossing. The laser beam acquires thermal energy, which emerges from the machine and engraves the material. CREO 2.0 software is used for the 3D modeling and simulation of the machine. Arduino and different controller boards are tried and used in assembling the machine in less time. Different dependency and dimensional tests are conducted in order to validate the machine. The results are found to be satisfactory in terms of quality and cost. The final assembly is experimentally verified which is based on a 2D gantry that is mounted with a laser LED payload for laser engraving on various compatible materials.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133758188","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152403
Akhtar Ali, H. Khalid
The climate change and scarcity of fossil fuel resources has resulted in the shift of automotive industry towards an environment friendly and sustainable solution, i.e. electric vehicle (EV). The DC-AC inverter is one of the main building blocks of EV power train. Selection of an appropriate inverter topology leads to optimal performance, cost effectiveness and reliable operation of the whole power train. This paper compares four inverter topologies for EV applications, including the widely used two-level inverter (TLI) based on IGBTs, technologically advanced SiC MOSFET based TLI, and five and seven-level Cascaded H-Bridge (CHB) inverters. While IGBT -based TLIs are simple, cost-effective, and easy to control, they suffer from high harmonic distortion and losses. Recent research has focused on using SiC MOSFETs in TLIs to improve power density and efficiency. CHB inverters have also emerged as a promising alternative to TLIs, offering better power quality, lower voltage stress, scalability, and fault tolerance capabilities. The comparison in this work is based on losses, cost, and thermal analysis using PLECS software for simulations. Based on the results, it is concluded that the CHB five-level inverter topology is a superior choice for EV powertrains, offering better thermal behavior, reduced total harmonic distortion (THD), and lower losses.
{"title":"Comparative Analysis of Two-Level and Multilevel CHB Topologies for EV Drivetrain","authors":"Akhtar Ali, H. Khalid","doi":"10.1109/ICEPT58859.2023.10152403","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152403","url":null,"abstract":"The climate change and scarcity of fossil fuel resources has resulted in the shift of automotive industry towards an environment friendly and sustainable solution, i.e. electric vehicle (EV). The DC-AC inverter is one of the main building blocks of EV power train. Selection of an appropriate inverter topology leads to optimal performance, cost effectiveness and reliable operation of the whole power train. This paper compares four inverter topologies for EV applications, including the widely used two-level inverter (TLI) based on IGBTs, technologically advanced SiC MOSFET based TLI, and five and seven-level Cascaded H-Bridge (CHB) inverters. While IGBT -based TLIs are simple, cost-effective, and easy to control, they suffer from high harmonic distortion and losses. Recent research has focused on using SiC MOSFETs in TLIs to improve power density and efficiency. CHB inverters have also emerged as a promising alternative to TLIs, offering better power quality, lower voltage stress, scalability, and fault tolerance capabilities. The comparison in this work is based on losses, cost, and thermal analysis using PLECS software for simulations. Based on the results, it is concluded that the CHB five-level inverter topology is a superior choice for EV powertrains, offering better thermal behavior, reduced total harmonic distortion (THD), and lower losses.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133292939","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152321
Farhan H. Malik, Z. Haider, Saqib Ali, S. Akram, Mohammad Khalid, S. Dagher
Global warming, depletion of fossil fuels and energy crisis has been the most debated and researched global challenges of the past few decades and more so from the beginning of the 21st century. One solution that apparently seems to answer our world's biggest challenges is the adoption and penetration of electric vehicles in both private and public transport. Though there has been a steady rise in the use of electric vehicles, yet the estimated targets of electric vehicles in the market share have failed to be met. At the current rate of adoption of EVs, it is not far-fetched to say that it might be too late to make an impact if rigorous efforts are not adopted to promote and incorporate EVs into the system. In this paper, we take a look at some of the issues that are largely preventing consumers from switching toward zero-emission cars.
{"title":"What is Stopping EVs? A Different Approach to Analyze the Challenges","authors":"Farhan H. Malik, Z. Haider, Saqib Ali, S. Akram, Mohammad Khalid, S. Dagher","doi":"10.1109/ICEPT58859.2023.10152321","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152321","url":null,"abstract":"Global warming, depletion of fossil fuels and energy crisis has been the most debated and researched global challenges of the past few decades and more so from the beginning of the 21st century. One solution that apparently seems to answer our world's biggest challenges is the adoption and penetration of electric vehicles in both private and public transport. Though there has been a steady rise in the use of electric vehicles, yet the estimated targets of electric vehicles in the market share have failed to be met. At the current rate of adoption of EVs, it is not far-fetched to say that it might be too late to make an impact if rigorous efforts are not adopted to promote and incorporate EVs into the system. In this paper, we take a look at some of the issues that are largely preventing consumers from switching toward zero-emission cars.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125811149","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152394
Y. Ali
Prosumers are those type of consumers that consume as well as produce the electrical energy. The recent research work is focused on finding more optimal solutions to the power trading scenarios in smart grid. Machine Learning Algorithms provide best solution to such power trading scenarios. In this research work, we develop a Machine Learning-Based Power Trading Algorithm (MLPTA) for an efficient prosumers-based smart grid.
{"title":"A Novel Machine Learning-Based Power Trading Algorithm (MLPTA) for Demand Side Management (DSM)","authors":"Y. Ali","doi":"10.1109/ICEPT58859.2023.10152394","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152394","url":null,"abstract":"Prosumers are those type of consumers that consume as well as produce the electrical energy. The recent research work is focused on finding more optimal solutions to the power trading scenarios in smart grid. Machine Learning Algorithms provide best solution to such power trading scenarios. In this research work, we develop a Machine Learning-Based Power Trading Algorithm (MLPTA) for an efficient prosumers-based smart grid.","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125103955","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 : 2023-05-06DOI: 10.1109/ICEPT58859.2023.10152354
Amir Hamza, Mohammad Hamza, M. Awais, Faiza Ahmad, Zahid Rehman
In industries, three-phase inductive loads such as induction motors are widely used due to their low cost, easy maintenance, reliability, and robustness. Due to inductive loads, the power factor is reduced which results in the wastage of power, high billing costs, and penalties from electric power supply companies. In order to resolve this issue, a system has been designed for the power factor improvement of three-phase loads using the programmable logic controller (PLC) which will definitely minimize the operation cost of the plant, and also the demand for electricity supply on utility side will be reduced. The system is implemented by a combination of Hardware and software. The software consists of PLC programming whereas hardware consists of power and control circuits along with the protective devices. The programming of PLC is logic based which controls step by step sequence of operations. When the inductive load adds to the system, PLC will read the signal as an input from the contactor coil of the magnetic contactor connected with the motor and will send the signal as an output to the corresponding contactor coil of the magnetic contactor to switch the appropriate capacitor bank in order to improve the power factor. The experimental results for seven different cases utilized by different combinations of loads, without and with the use of the developed system have been discussed in this paper. So, from the perspective of energy management, we have always a need to improve the power factor of the Load. Due to many industrial control applications, the PLC is used as a power factor controller (PFC).
{"title":"Development and Deployment of Programmable Logic Controller-Based Switched Capacitor Banks to Enhance Power Factor of Three-Phase Induction Motors","authors":"Amir Hamza, Mohammad Hamza, M. Awais, Faiza Ahmad, Zahid Rehman","doi":"10.1109/ICEPT58859.2023.10152354","DOIUrl":"https://doi.org/10.1109/ICEPT58859.2023.10152354","url":null,"abstract":"In industries, three-phase inductive loads such as induction motors are widely used due to their low cost, easy maintenance, reliability, and robustness. Due to inductive loads, the power factor is reduced which results in the wastage of power, high billing costs, and penalties from electric power supply companies. In order to resolve this issue, a system has been designed for the power factor improvement of three-phase loads using the programmable logic controller (PLC) which will definitely minimize the operation cost of the plant, and also the demand for electricity supply on utility side will be reduced. The system is implemented by a combination of Hardware and software. The software consists of PLC programming whereas hardware consists of power and control circuits along with the protective devices. The programming of PLC is logic based which controls step by step sequence of operations. When the inductive load adds to the system, PLC will read the signal as an input from the contactor coil of the magnetic contactor connected with the motor and will send the signal as an output to the corresponding contactor coil of the magnetic contactor to switch the appropriate capacitor bank in order to improve the power factor. The experimental results for seven different cases utilized by different combinations of loads, without and with the use of the developed system have been discussed in this paper. So, from the perspective of energy management, we have always a need to improve the power factor of the Load. Due to many industrial control applications, the PLC is used as a power factor controller (PFC).","PeriodicalId":350869,"journal":{"name":"2023 International Conference on Emerging Power Technologies (ICEPT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129870977","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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