The electric power sector is making significant changes to the power grid in order to make the power supply more stable, meet rising demand, and optimize the use of distributed generators. The Internet of Things (IoT) and digital technologies are being used simultaneously in smart microgrids, a key strategy for future power grids. IoT -based smart energy monitoring and management systems are a type of technology that uses devices and software connected to the Internet to monitor, control, and manage the energy use of the micro grid. In this paper, IoT-based technology is used to create a smart energy monitoring, management, and protection system for a smart microgrid. The whole system can provide real-time monitoring, control, protection, and efficient management of the microgrid's energy resources, as well as ways to detect electric theft. Using wireless communication technology, the IoT platform can send and receive measured data from the control panel room. Once access permissions to the Blynk IoT cloud software for the ESP32 and ESP8266 modules for the system are set up, micro grid operators can simply monitor all electrical parameters and control relay modules of the control panel room, electric distribution poles, and energy meters using smartphones or personal computers at any-time from anywhere. So, the IoT-based smart energy monitoring, management, and control strategy presented in this research is set up to improve energy use efficiency, reduce energy costs, and improve grid stability through real-time monitoring, control, and protection systems.
{"title":"IoT-Based Smart Energy Monitoring, Management, and Protection System for a Smart MicroGrid","authors":"Md. Ibne Joha, Md Minhazur Rahman, Md. Ibna Zubair","doi":"10.1109/ICPC2T60072.2024.10474733","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10474733","url":null,"abstract":"The electric power sector is making significant changes to the power grid in order to make the power supply more stable, meet rising demand, and optimize the use of distributed generators. The Internet of Things (IoT) and digital technologies are being used simultaneously in smart microgrids, a key strategy for future power grids. IoT -based smart energy monitoring and management systems are a type of technology that uses devices and software connected to the Internet to monitor, control, and manage the energy use of the micro grid. In this paper, IoT-based technology is used to create a smart energy monitoring, management, and protection system for a smart microgrid. The whole system can provide real-time monitoring, control, protection, and efficient management of the microgrid's energy resources, as well as ways to detect electric theft. Using wireless communication technology, the IoT platform can send and receive measured data from the control panel room. Once access permissions to the Blynk IoT cloud software for the ESP32 and ESP8266 modules for the system are set up, micro grid operators can simply monitor all electrical parameters and control relay modules of the control panel room, electric distribution poles, and energy meters using smartphones or personal computers at any-time from anywhere. So, the IoT-based smart energy monitoring, management, and control strategy presented in this research is set up to improve energy use efficiency, reduce energy costs, and improve grid stability through real-time monitoring, control, and protection systems.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"26 5","pages":"398-403"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531420","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10474994
George Eldho John, Rajesh G
V2V(vehicle-to-vehicle) communication has many applications with regard to intelligent transportation systems(ITS), accident prevention, traffic detection, etc. One of the major challenges in V2V communication is the data transmission in high mobility and bandwidth bottlenecks. CAM (cooperative awareness messages), messages are transmitted at a very high rate to update LDM (local dynamic map) to get better traffic awareness. CAM uses broadcast messaging. This could overload the communication network in a dense traffic scenario. In this paper, a data compression framework using the transmission of autoencoder(AE) models in vehicular sensor networks is proposed, where the comparable AE variants are analyzed. The accelerometer and gyrometer data have been used for analysis and the evaluation of the AE variants is performed. The simulation results show the superior performance of the denoising AE. Security is also a concern in transmitting sensor data to other vehicles. The proposed method adds an extra layer of security due to the transmission of AE models in the initialization phase.
{"title":"Autoencoders for Compressed Transmission of Vehicular Data","authors":"George Eldho John, Rajesh G","doi":"10.1109/ICPC2T60072.2024.10474994","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10474994","url":null,"abstract":"V2V(vehicle-to-vehicle) communication has many applications with regard to intelligent transportation systems(ITS), accident prevention, traffic detection, etc. One of the major challenges in V2V communication is the data transmission in high mobility and bandwidth bottlenecks. CAM (cooperative awareness messages), messages are transmitted at a very high rate to update LDM (local dynamic map) to get better traffic awareness. CAM uses broadcast messaging. This could overload the communication network in a dense traffic scenario. In this paper, a data compression framework using the transmission of autoencoder(AE) models in vehicular sensor networks is proposed, where the comparable AE variants are analyzed. The accelerometer and gyrometer data have been used for analysis and the evaluation of the AE variants is performed. The simulation results show the superior performance of the denoising AE. Security is also a concern in transmitting sensor data to other vehicles. The proposed method adds an extra layer of security due to the transmission of AE models in the initialization phase.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"12 2","pages":"480-485"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531363","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10475105
Arpana A R, Parvathy S
Electric vehicles (EVs) have become a popular trend in modern times due to their numerous benefits such as the use of renewable energy instead of conventional fuel. When designing the EV architecture, selecting the appropriate DC-DC converter topology is crucial. These converters are essential for matching input voltage with system requirements and controlling power flow. In this study, a high voltage gain Transformerless Buck-Boost converter was chosen for the EV system, which demonstrated high efficiency and minimal power loss. The source for the converter was obtained from solar panels and the MPPT controller was employed for converter control. The performance of the selected converter topology was compared with that of the conventional Buck-Boost converter and Boost converter because these two converters are mainly used in EV systems. The analysis showed that the transformer-less buck-boost converter[2] performed better than the conventional buck-boost converter. The simulation of these converters was carried out using MATLAB Simulink and the results were verified. In conclusion, the chosen converter topology offers improved performance and efficiency, making it a suitable choice for EV systems that use renewable energy sources.
{"title":"Performance Analysis of Solar Powered EV with Transformerless Buck-Boost Converter","authors":"Arpana A R, Parvathy S","doi":"10.1109/ICPC2T60072.2024.10475105","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10475105","url":null,"abstract":"Electric vehicles (EVs) have become a popular trend in modern times due to their numerous benefits such as the use of renewable energy instead of conventional fuel. When designing the EV architecture, selecting the appropriate DC-DC converter topology is crucial. These converters are essential for matching input voltage with system requirements and controlling power flow. In this study, a high voltage gain Transformerless Buck-Boost converter was chosen for the EV system, which demonstrated high efficiency and minimal power loss. The source for the converter was obtained from solar panels and the MPPT controller was employed for converter control. The performance of the selected converter topology was compared with that of the conventional Buck-Boost converter and Boost converter because these two converters are mainly used in EV systems. The analysis showed that the transformer-less buck-boost converter[2] performed better than the conventional buck-boost converter. The simulation of these converters was carried out using MATLAB Simulink and the results were verified. In conclusion, the chosen converter topology offers improved performance and efficiency, making it a suitable choice for EV systems that use renewable energy sources.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"21 15","pages":"31-36"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531270","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10474658
Divya S, P. G. Latha
The rapidly growing demand of electric vehicle(EV) has a detrimental impact on power quality of the utility distribution grid. The choice of EV battery charger design is crucial in reducing power quality issues. Conventional diode bridge rectifier(DBR) based converters introduce significant harmonics which also adversely affects the battery life. A DBR interfaced with a zeta converter can reduce the power supply distortions and improve the input power factor during battery charging. PI controllers are comprehensively applied in battery chargers; nevertheless, their performance tends to suffer under system dynamics. The diversity of electric vehicles (EVs) and the dynamic changes in battery operating conditions introduce numerous uncertainties, making an artificial intelligence (AI) based controller a preferable choice for EV charging applications. The performance of an isolated zeta converter with PI, fuzzy logic and Artificial Neural Network(ANN) based controllers is tested in MATLAB/Simulink environment under different operating conditions. Analysis of the results clearly indicates that AI based controllers are not only effective in reducing harmonics but also in ensuring improved performance under both steady-state and dynamic conditions.
{"title":"Performance Improvement of EV Charger Using AI Based Controllers","authors":"Divya S, P. G. Latha","doi":"10.1109/ICPC2T60072.2024.10474658","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10474658","url":null,"abstract":"The rapidly growing demand of electric vehicle(EV) has a detrimental impact on power quality of the utility distribution grid. The choice of EV battery charger design is crucial in reducing power quality issues. Conventional diode bridge rectifier(DBR) based converters introduce significant harmonics which also adversely affects the battery life. A DBR interfaced with a zeta converter can reduce the power supply distortions and improve the input power factor during battery charging. PI controllers are comprehensively applied in battery chargers; nevertheless, their performance tends to suffer under system dynamics. The diversity of electric vehicles (EVs) and the dynamic changes in battery operating conditions introduce numerous uncertainties, making an artificial intelligence (AI) based controller a preferable choice for EV charging applications. The performance of an isolated zeta converter with PI, fuzzy logic and Artificial Neural Network(ANN) based controllers is tested in MATLAB/Simulink environment under different operating conditions. Analysis of the results clearly indicates that AI based controllers are not only effective in reducing harmonics but also in ensuring improved performance under both steady-state and dynamic conditions.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"191 4","pages":"468-473"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531130","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10475067
Akshika Jain, Gunjan, Ajay K Sharma
Improving network lifetime with energy-efficient utilization is the main aim of Wireless Sensor Networks (WSNs) design. Sink mobility is an effective strategy for increasing performance in WSNs, such as easing traffic stress from sensor nodes. WSN routing protocols are categorized into distinct groups depending on their network topology and suitability. In this research article, we have analyzed the performance of various WSN routing protocols such as DIRECT, LEACH, PEGASIS, MR-LEACH, and EEUCLC under the following mobile sink locations. We assumed three sink positions for static sink scenarios: center, corner, and outside the Region of Interest (RoI). Random, grid, spiral, and Gaussian models have been used for the mobile sink. For a large-scale WSN, multi-hopping and unequal clustering is an effective mechanisms for improving the network performance. However, to further improve the efficiency, sink mobility is an efficient method for enhancing the execution of WSNs as it avoids creating energy holes/hot spots by avoiding long-distance transmissions in those areas. It is found through our simulation that by using random and deterministic mobility patterns, energy efficiency improves by 7%-10%.
{"title":"Performance Comparison of Routing Techniques using Sink Mobility Models for IoT assisted WSN","authors":"Akshika Jain, Gunjan, Ajay K Sharma","doi":"10.1109/ICPC2T60072.2024.10475067","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10475067","url":null,"abstract":"Improving network lifetime with energy-efficient utilization is the main aim of Wireless Sensor Networks (WSNs) design. Sink mobility is an effective strategy for increasing performance in WSNs, such as easing traffic stress from sensor nodes. WSN routing protocols are categorized into distinct groups depending on their network topology and suitability. In this research article, we have analyzed the performance of various WSN routing protocols such as DIRECT, LEACH, PEGASIS, MR-LEACH, and EEUCLC under the following mobile sink locations. We assumed three sink positions for static sink scenarios: center, corner, and outside the Region of Interest (RoI). Random, grid, spiral, and Gaussian models have been used for the mobile sink. For a large-scale WSN, multi-hopping and unequal clustering is an effective mechanisms for improving the network performance. However, to further improve the efficiency, sink mobility is an efficient method for enhancing the execution of WSNs as it avoids creating energy holes/hot spots by avoiding long-distance transmissions in those areas. It is found through our simulation that by using random and deterministic mobility patterns, energy efficiency improves by 7%-10%.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"7 2","pages":"421-426"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531276","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 : 2024-01-18DOI: 10.1109/icpc2t60072.2024.10474897
A. A. Hussein, H. Abdulrazzak
Cluster-based routing or Hierarchical is a widely recognized approach with particular benefits in terms of scalability and communication efficiency. In Wireless Sensor Networks supported $IoT$, the utilization of clustered routing is a cost-effective method of data collection and transmission, where nodes with the most energy remaining can be utilized to collect and transmit data. This paper proposed a soft Fuzzy C-Means Dynamic Clustering (FCM-DC) Approach. A new Cluster Head (CH) selection technique was presented also. The proposed model was compared with an existing cluster based routing protocol, LEACH protocol, and LEACH-C protocol. The proposed FCM-DC model reduce the packet delay about 16% in 50 nodes scenario and 86% in 100 nodes scenario compared with LEACH.
{"title":"Fuzzy C-Means Clustering Approach for Green IoT in Smart Cities","authors":"A. A. Hussein, H. Abdulrazzak","doi":"10.1109/icpc2t60072.2024.10474897","DOIUrl":"https://doi.org/10.1109/icpc2t60072.2024.10474897","url":null,"abstract":"Cluster-based routing or Hierarchical is a widely recognized approach with particular benefits in terms of scalability and communication efficiency. In Wireless Sensor Networks supported $IoT$, the utilization of clustered routing is a cost-effective method of data collection and transmission, where nodes with the most energy remaining can be utilized to collect and transmit data. This paper proposed a soft Fuzzy C-Means Dynamic Clustering (FCM-DC) Approach. A new Cluster Head (CH) selection technique was presented also. The proposed model was compared with an existing cluster based routing protocol, LEACH protocol, and LEACH-C protocol. The proposed FCM-DC model reduce the packet delay about 16% in 50 nodes scenario and 86% in 100 nodes scenario compared with LEACH.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"46 1-2","pages":"588-593"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531310","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10475112
Rani Kumari, B. K. Naick
The effectiveness and reliability of a power distribution system hinge on the establishment and maintenance of efficient coordination between protective relays. Alongside the prevention of unwarranted overloads, inadequate coordination among relays may lead to an increased likelihood of revealing concealed failures within crucial components of the protection system, like Circuit Breakers. To assess the potential degradation of system reliability due to protection system malfunctions, this study proposes the utilization of a Markov model (MM) in combination with a Monte Carlo simulation (MCS) algorithm. Furthermore, the study also addresses the impact of the protective equipment mis-coordination on the concealed failure of protection systems. Subsequently, using a modified Canadian benchmark distribution system, the study computes the reliability indices of System Average Interruption Duration Index (SAIDI) and Expected Energy Not Supplied (EENS) for three distinct scenarios characterized by varying relay settings and protection coordination. The findings are subsequently presented to demonstrate how miscoordination of protection systems within the distribution network can affect the overall system reliability.
{"title":"Protection Coordination Impact on Reliability of Distribution Systems With Distributed Energy Resources","authors":"Rani Kumari, B. K. Naick","doi":"10.1109/ICPC2T60072.2024.10475112","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10475112","url":null,"abstract":"The effectiveness and reliability of a power distribution system hinge on the establishment and maintenance of efficient coordination between protective relays. Alongside the prevention of unwarranted overloads, inadequate coordination among relays may lead to an increased likelihood of revealing concealed failures within crucial components of the protection system, like Circuit Breakers. To assess the potential degradation of system reliability due to protection system malfunctions, this study proposes the utilization of a Markov model (MM) in combination with a Monte Carlo simulation (MCS) algorithm. Furthermore, the study also addresses the impact of the protective equipment mis-coordination on the concealed failure of protection systems. Subsequently, using a modified Canadian benchmark distribution system, the study computes the reliability indices of System Average Interruption Duration Index (SAIDI) and Expected Energy Not Supplied (EENS) for three distinct scenarios characterized by varying relay settings and protection coordination. The findings are subsequently presented to demonstrate how miscoordination of protection systems within the distribution network can affect the overall system reliability.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"185 4","pages":"345-350"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531131","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10474726
Piyush Gajbhiye, P. Chaturvedi
This paper provides detailed design and implementation of bidirectional dc/dc converter in continuous conduction mode using two full bridge circuits separated by LC-LCC resonant tank in forward buck and reverse boost mode respectively. AC equivalent circuit analysis method using first harmonic approximation is used for analysis. Soft switching of all switches is achieved which helps in improving the efficiency of the converter. Bidirectional power flow is achieved using phase angle control method. The analysis is verified using computer simulation results in MATLAB software.
{"title":"Forward LC - Reverse LCC Bidirectional Resonant Converter for Buck and Boost Operation","authors":"Piyush Gajbhiye, P. Chaturvedi","doi":"10.1109/ICPC2T60072.2024.10474726","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10474726","url":null,"abstract":"This paper provides detailed design and implementation of bidirectional dc/dc converter in continuous conduction mode using two full bridge circuits separated by LC-LCC resonant tank in forward buck and reverse boost mode respectively. AC equivalent circuit analysis method using first harmonic approximation is used for analysis. Soft switching of all switches is achieved which helps in improving the efficiency of the converter. Bidirectional power flow is achieved using phase angle control method. The analysis is verified using computer simulation results in MATLAB software.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"21 14","pages":"185-191"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531271","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 : 2024-01-18DOI: 10.1109/icpc2t60072.2024.10474940
Amit Kumar Singh, Himani Dewangan, Sonti Venu, Sachin Jain
Using electric motors with a phase greater than three present some advantages over conventional three phase machines: higher reliability, reduced power per phase, increased torque density, and reduced torque pulsations. A nine-phase inverter implies 512 switching vectors in each one of its four harmonic planes. Recently, model predictive control (MPC) has attracted a wide attention in area of power converters and drives due to its various advantages like that of several control targets, variables and constraints can be included in single cost function and simultaneously controlled. Consequently, in this article performance of model predictive control is studied within the context of a nine-phase system. The motor is driven by a nine-phase power supply system, which means it has nine distinct windings or phases instead of the typical three in a three-phase system. This allows for more precise control of the motor's torque and speed, as well as better performance in terms of torque ripple reduction and efficiency. This article explores the principles and advantages of nine-phase MPC, particularly in applications such as robotics, electric vehicles, and industrial automation where high precision and dynamic performance are crucial.
{"title":"Model Predictive Control for Nine Phase Induction Motor","authors":"Amit Kumar Singh, Himani Dewangan, Sonti Venu, Sachin Jain","doi":"10.1109/icpc2t60072.2024.10474940","DOIUrl":"https://doi.org/10.1109/icpc2t60072.2024.10474940","url":null,"abstract":"Using electric motors with a phase greater than three present some advantages over conventional three phase machines: higher reliability, reduced power per phase, increased torque density, and reduced torque pulsations. A nine-phase inverter implies 512 switching vectors in each one of its four harmonic planes. Recently, model predictive control (MPC) has attracted a wide attention in area of power converters and drives due to its various advantages like that of several control targets, variables and constraints can be included in single cost function and simultaneously controlled. Consequently, in this article performance of model predictive control is studied within the context of a nine-phase system. The motor is driven by a nine-phase power supply system, which means it has nine distinct windings or phases instead of the typical three in a three-phase system. This allows for more precise control of the motor's torque and speed, as well as better performance in terms of torque ripple reduction and efficiency. This article explores the principles and advantages of nine-phase MPC, particularly in applications such as robotics, electric vehicles, and industrial automation where high precision and dynamic performance are crucial.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"15 7","pages":"657-662"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531274","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 : 2024-01-18DOI: 10.1109/icpc2t60072.2024.10474694
Md Ashraful Alam, Meharajul Kabir, Mayur Basu, Ahmed Saber
The rapid growth of Electric Vehicle (EV) charging stations has raised concerns about their impact on grid stability. This paper presents a study on integrating PV Systems with smart inverters in EV charging stations to enhance grid stability and energy efficiency. Two scenarios are analyzed: one without smart inverters and one with their integration. In the absence of smart inverters, charging events are poorly aligned with energy supply, resulting in voltage fluctuations, grid instability, and higher operational costs. However, the introduction of smart inverters significantly improves the situation. It optimizes charging operations, reduces energy waste, enhances grid stability, and minimizes voltage fluctuations. The proposed system's model and mechanism are comprehensively analyzed using the ETAP platform. This research underscores the vital role of smart inverters in promoting eco-friendly charging and improving overall grid stability in the context of EV charging stations.
{"title":"Voltage Stability Enhancement for EV Stations: An Optimal Mechanism Utilizing a Smart Solar Inverter","authors":"Md Ashraful Alam, Meharajul Kabir, Mayur Basu, Ahmed Saber","doi":"10.1109/icpc2t60072.2024.10474694","DOIUrl":"https://doi.org/10.1109/icpc2t60072.2024.10474694","url":null,"abstract":"The rapid growth of Electric Vehicle (EV) charging stations has raised concerns about their impact on grid stability. This paper presents a study on integrating PV Systems with smart inverters in EV charging stations to enhance grid stability and energy efficiency. Two scenarios are analyzed: one without smart inverters and one with their integration. In the absence of smart inverters, charging events are poorly aligned with energy supply, resulting in voltage fluctuations, grid instability, and higher operational costs. However, the introduction of smart inverters significantly improves the situation. It optimizes charging operations, reduces energy waste, enhances grid stability, and minimizes voltage fluctuations. The proposed system's model and mechanism are comprehensively analyzed using the ETAP platform. This research underscores the vital role of smart inverters in promoting eco-friendly charging and improving overall grid stability in the context of EV charging stations.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"193 4","pages":"805-809"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531126","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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