2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)最新文献
Pub Date : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851000
K. Anusha, S. Nachiyappan, M. Braveen, K. Pradeep, Siva Reshma Yarlagadda
A Number Plate Detection Technique is a well-known and widely used tool during current era because of the rapid increase in vehicles day by day. The detection of number plates from traffic videos / images system uses a digital image processing technique for the identification of the car registration number plate on the vehicles. This device is utilized indensely populated region to spot the vehicles which are violating the traffic rules, are handed down in malls to allot automobile parking space, identification of the stolen vehicles and also helpful in crime scene investigation. Image of the vehicle is pre-processed by reading the image from a dataset (b) converting it into a gray-scale image and (b) by removing the noises from the image using Gaussian techniques. This number plate is extracted from the image by implementing the contour enhancement method and on extracted characters, machine learning algorithms are used to train the model to perform the segmentation. Within the character recognition process, we classify the characters. The proposed number plate detection technique shows significant improvement in accuracy rate when compared with standard existing systems.
{"title":"A Simple Number Plate Detection Technique with Support Vector Machine for On-Road Vehicles","authors":"K. Anusha, S. Nachiyappan, M. Braveen, K. Pradeep, Siva Reshma Yarlagadda","doi":"10.1109/PECCON55017.2022.9851000","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851000","url":null,"abstract":"A Number Plate Detection Technique is a well-known and widely used tool during current era because of the rapid increase in vehicles day by day. The detection of number plates from traffic videos / images system uses a digital image processing technique for the identification of the car registration number plate on the vehicles. This device is utilized indensely populated region to spot the vehicles which are violating the traffic rules, are handed down in malls to allot automobile parking space, identification of the stolen vehicles and also helpful in crime scene investigation. Image of the vehicle is pre-processed by reading the image from a dataset (b) converting it into a gray-scale image and (b) by removing the noises from the image using Gaussian techniques. This number plate is extracted from the image by implementing the contour enhancement method and on extracted characters, machine learning algorithms are used to train the model to perform the segmentation. Within the character recognition process, we classify the characters. The proposed number plate detection technique shows significant improvement in accuracy rate when compared with standard existing systems.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123440423","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851143
A. Balasundaram, M. R. Prusty, Ayesha Shaik
Autonomous Vehicles (AV) is one of the prominent research areas in Automobile industry. This autonomous vehicle manufacturing and testing involves several influencing factors that need to be analysed and subsequent decision making is carried out. Added to that the decisions have to be precise and fast. Hence, it is necessary that several activities pertaining to AV leverage the services of Artificial Intelligence (AI) for its functioning. This paper performs a comprehensive study of how Artificial Intelligence and its allied sub domains play a pivotal role in AV operations. The study discusses in detail about the various complex operations in AV for which AI is used to provide solutions. Also, a clear mapping of various sub domains of AI to AV problems is performed. Finally a mapping depicting various complex operations in AV and related AI based solutions in provided.
{"title":"A Comprehensive Study on the Impact of Artificial Intelligence in Autonomous Vehicles","authors":"A. Balasundaram, M. R. Prusty, Ayesha Shaik","doi":"10.1109/PECCON55017.2022.9851143","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851143","url":null,"abstract":"Autonomous Vehicles (AV) is one of the prominent research areas in Automobile industry. This autonomous vehicle manufacturing and testing involves several influencing factors that need to be analysed and subsequent decision making is carried out. Added to that the decisions have to be precise and fast. Hence, it is necessary that several activities pertaining to AV leverage the services of Artificial Intelligence (AI) for its functioning. This paper performs a comprehensive study of how Artificial Intelligence and its allied sub domains play a pivotal role in AV operations. The study discusses in detail about the various complex operations in AV for which AI is used to provide solutions. Also, a clear mapping of various sub domains of AI to AV problems is performed. Finally a mapping depicting various complex operations in AV and related AI based solutions in provided.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134198062","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851179
P. Arunkrishna, C. Asha, P. Preetha
In recent times, research towards more ecological and nonpolluting forms of transportation has been motivated by climate change and the exhaustion offossil resources. With their ability to reduce reliance on non - renewable and extraordinary flexibility, electric vehicles (EVs) can make a substantial contribution to this. An adaptive integrated power conversion system (IPCS) is examined in this research, which could eliminate the need for separate power converters and perform in two modes: battery charging and electric propulsion. In this integrated topology, the cascaded dual active bridge (DAB) bidirectional dc-dc converter along with a dc-ac voltage source inverter (VSI) share common power components. This set-up for the system in electric vehicles decreases the switch count and the volume of the power converter unit. An artificial neural network (ANN) controller is used to implement speed control of a three-phase induction motor (IM) via constant V /f regulation for traction operation in closed loop. The backpropagation method and the Levenberg-Marquardt (LM) algorithm are used to train the network. In this paper the adaptive IPCS is compared to the traditional PI based system. The findings of two control modalities are provided, and the comparison analysis is validated with MATLAB Simulink.
{"title":"Performance Analysis of Adaptive Integrated Power Conversion System for Electric Vehicles","authors":"P. Arunkrishna, C. Asha, P. Preetha","doi":"10.1109/PECCON55017.2022.9851179","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851179","url":null,"abstract":"In recent times, research towards more ecological and nonpolluting forms of transportation has been motivated by climate change and the exhaustion offossil resources. With their ability to reduce reliance on non - renewable and extraordinary flexibility, electric vehicles (EVs) can make a substantial contribution to this. An adaptive integrated power conversion system (IPCS) is examined in this research, which could eliminate the need for separate power converters and perform in two modes: battery charging and electric propulsion. In this integrated topology, the cascaded dual active bridge (DAB) bidirectional dc-dc converter along with a dc-ac voltage source inverter (VSI) share common power components. This set-up for the system in electric vehicles decreases the switch count and the volume of the power converter unit. An artificial neural network (ANN) controller is used to implement speed control of a three-phase induction motor (IM) via constant V /f regulation for traction operation in closed loop. The backpropagation method and the Levenberg-Marquardt (LM) algorithm are used to train the network. In this paper the adaptive IPCS is compared to the traditional PI based system. The findings of two control modalities are provided, and the comparison analysis is validated with MATLAB Simulink.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131169783","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851037
S. Samundeswari, V. Lalitha, V. Archana, K. Sreshta
Disability is defined as a situation in which one must rely on others help to meet daily needs. Visual impairment is one of them. Several approaches to improving the quality to live for visually impaired and blind people have been proposed so far, buying things in the store without the help of others is always a difficult undertaking for them. A camera-based assistive text reading framework is being developed as a solution to aid blind individuals in reading text labels and product packaging from hand-held objects in their shopping store. To distinguish the object from crowded backdrops or other nearby objects in the camera view, we used an old, active motion-based method to focus a region of interest (ROI) in the picture by asking the user to shake the object. Based on real-time situations, the voice instructions will aid the user inside the supermarket. The maj or goal of this system is to eliminate other people's assistance in shopping for visually impaired persons by providing them with a convenient, smart environment. When this prototype method is implemented, that makes shopping and product purchasing easier for blind people, saves time for customers, and increases business sales. Where user interface difficulties are investigated and the algorithm's robustness in extracting and reading text from objects with complicated backgrounds is evaluated.
{"title":"OPTICAL CHARACTER RECOGNITION FOR VISUALL YCHALLENGED PEOPLE WITH SHOPPING CART USING AI","authors":"S. Samundeswari, V. Lalitha, V. Archana, K. Sreshta","doi":"10.1109/PECCON55017.2022.9851037","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851037","url":null,"abstract":"Disability is defined as a situation in which one must rely on others help to meet daily needs. Visual impairment is one of them. Several approaches to improving the quality to live for visually impaired and blind people have been proposed so far, buying things in the store without the help of others is always a difficult undertaking for them. A camera-based assistive text reading framework is being developed as a solution to aid blind individuals in reading text labels and product packaging from hand-held objects in their shopping store. To distinguish the object from crowded backdrops or other nearby objects in the camera view, we used an old, active motion-based method to focus a region of interest (ROI) in the picture by asking the user to shake the object. Based on real-time situations, the voice instructions will aid the user inside the supermarket. The maj or goal of this system is to eliminate other people's assistance in shopping for visually impaired persons by providing them with a convenient, smart environment. When this prototype method is implemented, that makes shopping and product purchasing easier for blind people, saves time for customers, and increases business sales. Where user interface difficulties are investigated and the algorithm's robustness in extracting and reading text from objects with complicated backgrounds is evaluated.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132937405","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851066
Irshad Hussain, Ibrar Ullah, R. Ramalakshmi, Tanzila, M. Ashfaq, D. Nayab
We are living in the age of electricity, and it has become an essential part of our lives. We generate power in power stations, which are then transmitted to users for usage. The power that is generated at power stations are fixed and can be increased only through the replacement of the whole structure and this is not a feasible solution to be repeated multiple times, because of many issues that retain it from doing this. So in order to use the generated power efficiently, smart grids play a significant role in minimizing electricity consumption and cost through Demand Side Management (DSM). Smart homes, a specific portion of smart grid performs a very significant role in minimizing cost and consumption via scheduling home appliances. As a result, user waiting time will increase. This scheduling problem is viewed as an optimization problem in this work. An efficient scheme called the Sine-Cosine algorithm (SCA) is being employed in this work. The proposed scheme is implemented on the campus load of a university. Which contains a variety of appliances that are scheduled using the SCA technique. The simulations produced extremely beneficial results in terms of Peak to Average Ratio (PAR) and electricity cost reductions, while keeping an appropriate threshold ratio between the cost of electricity i.e. electrical bill and waiting time of users i.e. user's comfort.
{"title":"Smart Energy Management System for University Campus using Sine-Cosine Optimization Algorithm","authors":"Irshad Hussain, Ibrar Ullah, R. Ramalakshmi, Tanzila, M. Ashfaq, D. Nayab","doi":"10.1109/PECCON55017.2022.9851066","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851066","url":null,"abstract":"We are living in the age of electricity, and it has become an essential part of our lives. We generate power in power stations, which are then transmitted to users for usage. The power that is generated at power stations are fixed and can be increased only through the replacement of the whole structure and this is not a feasible solution to be repeated multiple times, because of many issues that retain it from doing this. So in order to use the generated power efficiently, smart grids play a significant role in minimizing electricity consumption and cost through Demand Side Management (DSM). Smart homes, a specific portion of smart grid performs a very significant role in minimizing cost and consumption via scheduling home appliances. As a result, user waiting time will increase. This scheduling problem is viewed as an optimization problem in this work. An efficient scheme called the Sine-Cosine algorithm (SCA) is being employed in this work. The proposed scheme is implemented on the campus load of a university. Which contains a variety of appliances that are scheduled using the SCA technique. The simulations produced extremely beneficial results in terms of Peak to Average Ratio (PAR) and electricity cost reductions, while keeping an appropriate threshold ratio between the cost of electricity i.e. electrical bill and waiting time of users i.e. user's comfort.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123914157","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9850996
A. Sathishkumar, Sankararao Majji, Tulasi Radhika Patnala, Santoshachandra Rao Karanam, Ashok Kumar V, Mula Malyadri
Current and future trends in broadband communication, particularly for 5G mobile applications, will include Orthogonal Frequency Division Multiplexing (OFDM) into Radio over Fiber (RoF) technology. Its resistance to multipath fading and spectrum efficiency have made Orthogonal Frequency Division Multiplexing a well-known technique. Network spectrum efficiency has been achieved using the modulation format in optical and wireless communication systems. After that, a system was proposed in which four 18Gbps QAM (Quadrature Amplitude Modulation) signals were generated in each transmitter and modulated in continuous wave (CW) using Mach Zehnder Modulator (MZM) before being transmitted over Single Mode Fiber (SMF), which performs significantly high data rates and is cost-effective in accordance with the results modelled.
{"title":"Experimentation Methodology of Orthogonal Frequency Division Multiplexing Signals Process using Radio over Fiber (RoF) system","authors":"A. Sathishkumar, Sankararao Majji, Tulasi Radhika Patnala, Santoshachandra Rao Karanam, Ashok Kumar V, Mula Malyadri","doi":"10.1109/PECCON55017.2022.9850996","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9850996","url":null,"abstract":"Current and future trends in broadband communication, particularly for 5G mobile applications, will include Orthogonal Frequency Division Multiplexing (OFDM) into Radio over Fiber (RoF) technology. Its resistance to multipath fading and spectrum efficiency have made Orthogonal Frequency Division Multiplexing a well-known technique. Network spectrum efficiency has been achieved using the modulation format in optical and wireless communication systems. After that, a system was proposed in which four 18Gbps QAM (Quadrature Amplitude Modulation) signals were generated in each transmitter and modulated in continuous wave (CW) using Mach Zehnder Modulator (MZM) before being transmitted over Single Mode Fiber (SMF), which performs significantly high data rates and is cost-effective in accordance with the results modelled.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121735743","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851113
Pragya Tyagi, L. Padmavathi, A. Abhishek
In this article, a comparative study of the various state of charge (SOC) estimation methods, for example, coulomb count (CC), Kalman filter (KF), and extended Kalman filter (EKF), has been presented for a two-wheeler electric vehicle's Lithium-ion (Li-ion) battery. Accurate estimation of SOC is a critical requirement in EV for its range prediction, charging mode selection, remaining useful life estimation, etc. However, SOC prediction is a challenging task due to the nonlinearities of the battery. Therefore, an electrical equivalent circuit model of Li-ion battery is devised in this work, and the above-said methods, i.e., CC, KF, and EKF, are developed in MATLAB Simulink for battery's SOC estimation under different discharge test profiles. A 39 Ah capacity Li-ion battery with a nominal voltage rating of 72 V, suitable for two-wheeler EV application, is considered for study with all the estimation techniques. It has been found that the EKF method provides minimal error (< ±0.l %) in SOC estimation under all loading conditions since it can incorporate the nonlinearities of battery in its estimation technique.
{"title":"Performance Analysis of State of Charge Estimation Techniques for Two-Wheeler Electric Vehicles","authors":"Pragya Tyagi, L. Padmavathi, A. Abhishek","doi":"10.1109/PECCON55017.2022.9851113","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851113","url":null,"abstract":"In this article, a comparative study of the various state of charge (SOC) estimation methods, for example, coulomb count (CC), Kalman filter (KF), and extended Kalman filter (EKF), has been presented for a two-wheeler electric vehicle's Lithium-ion (Li-ion) battery. Accurate estimation of SOC is a critical requirement in EV for its range prediction, charging mode selection, remaining useful life estimation, etc. However, SOC prediction is a challenging task due to the nonlinearities of the battery. Therefore, an electrical equivalent circuit model of Li-ion battery is devised in this work, and the above-said methods, i.e., CC, KF, and EKF, are developed in MATLAB Simulink for battery's SOC estimation under different discharge test profiles. A 39 Ah capacity Li-ion battery with a nominal voltage rating of 72 V, suitable for two-wheeler EV application, is considered for study with all the estimation techniques. It has been found that the EKF method provides minimal error (< ±0.l %) in SOC estimation under all loading conditions since it can incorporate the nonlinearities of battery in its estimation technique.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122416471","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851035
Arava Sudhakar, B. M. Kumar
The growth of smart grids has led to number of challenges in order to maintain power quality and reliability. On the other hand, the advanced technologies are helping to address the issues that arise due to the heterogeneous entities such as Intermittent Renewable Energy Sources (IRES) and Electric Vehicles (EV's). EV's storage can be utilized to support the energy management in micro grids and other flexible areas like Industries and educational organizations. In order to use EV s as virtual storage units, one has to ensure all the constraints and limitations that are involved. Above all, EV usage for grid energy management should not put EV owner in a chaotic state. There has been numerous EV control strategies proposed for V2G and G2V operations since last decade. Still, it is a big challenge in the real-time environment to address sensitive issues such as: owner flexibility, battery degradation, economic benefit and other uncertainties. This work mainly focuses on maximization of EV storage usage with consideration of battery degradation. A prioritization-based EV strategy is proposed using Adaptive Neuro-Fuzzy Inference System (ANFIS) with four decision variables. A win-win strategy for maximization of battery lifetime and EV exploitation is considered during the prioritization. The proposed EV technique is implemented for educational organization with real-time travel data. The case study presented in this article provides the comprehensive analysis on the impact of proposed control strategy in different aspects.
{"title":"Reducing Grid Dependency and Operating Cost of Micro Grids with Effective Coordination of RES and EV Storage","authors":"Arava Sudhakar, B. M. Kumar","doi":"10.1109/PECCON55017.2022.9851035","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851035","url":null,"abstract":"The growth of smart grids has led to number of challenges in order to maintain power quality and reliability. On the other hand, the advanced technologies are helping to address the issues that arise due to the heterogeneous entities such as Intermittent Renewable Energy Sources (IRES) and Electric Vehicles (EV's). EV's storage can be utilized to support the energy management in micro grids and other flexible areas like Industries and educational organizations. In order to use EV s as virtual storage units, one has to ensure all the constraints and limitations that are involved. Above all, EV usage for grid energy management should not put EV owner in a chaotic state. There has been numerous EV control strategies proposed for V2G and G2V operations since last decade. Still, it is a big challenge in the real-time environment to address sensitive issues such as: owner flexibility, battery degradation, economic benefit and other uncertainties. This work mainly focuses on maximization of EV storage usage with consideration of battery degradation. A prioritization-based EV strategy is proposed using Adaptive Neuro-Fuzzy Inference System (ANFIS) with four decision variables. A win-win strategy for maximization of battery lifetime and EV exploitation is considered during the prioritization. The proposed EV technique is implemented for educational organization with real-time travel data. The case study presented in this article provides the comprehensive analysis on the impact of proposed control strategy in different aspects.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122632849","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851087
B. Tejesh, G. Baskar, B. N. Krishna, K. Deepa, P. Manitha, V. Sailaja
This paper compares results between a fuel cell model and photovoltaic system model usingbuck converter and boost converter which are DC/DC converters. It has limitations, such as a lack of maximum power to meet the application's demands and a significant input current ripple. The constant voltage controller uses its maximum power point tracking (MPPT) technology to collect the maximum power from the fuel cell and solar panel. The MPPT approach improves the efficiency of the electricity provided by the fuel cell and solar panel. The converters selected are advantageous because they reduce the ripple in the current, which might damage the fuel cell stack and solar panel. The classic DC interleaved boost converter and the buck converter using MPPT are simulated using MATLAB/Simulink. Interleaved boost converter is chosen because of its reduced passive component size and reduced current ripple. The constant voltage MPPT technique has proven consistent and linear performance in developing high-efficiency fuel cell systems or with PV systems. The comparison helps in understanding the effectiveness of replacing fuel cell for solar energy in EV charging stations to obtain a steady state power supply without intermittency.
{"title":"A Comparative Analysis of Power Generation Using Solar and Fuel Cell for Charging EVs","authors":"B. Tejesh, G. Baskar, B. N. Krishna, K. Deepa, P. Manitha, V. Sailaja","doi":"10.1109/PECCON55017.2022.9851087","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851087","url":null,"abstract":"This paper compares results between a fuel cell model and photovoltaic system model usingbuck converter and boost converter which are DC/DC converters. It has limitations, such as a lack of maximum power to meet the application's demands and a significant input current ripple. The constant voltage controller uses its maximum power point tracking (MPPT) technology to collect the maximum power from the fuel cell and solar panel. The MPPT approach improves the efficiency of the electricity provided by the fuel cell and solar panel. The converters selected are advantageous because they reduce the ripple in the current, which might damage the fuel cell stack and solar panel. The classic DC interleaved boost converter and the buck converter using MPPT are simulated using MATLAB/Simulink. Interleaved boost converter is chosen because of its reduced passive component size and reduced current ripple. The constant voltage MPPT technique has proven consistent and linear performance in developing high-efficiency fuel cell systems or with PV systems. The comparison helps in understanding the effectiveness of replacing fuel cell for solar energy in EV charging stations to obtain a steady state power supply without intermittency.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133921947","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 : 2022-05-05DOI: 10.1109/PECCON55017.2022.9851163
G. Ramya, P. Suresh, J. Jayashree, A. Charles, T. Daniya
Flexible AC Transmission System devices are reactive power compensation devices employed to suppress the sub synchronous resonance (SSR) in the systems. The main important issue in the transmission lines of power system is SSR and it occurs during the condition, when series compensator is employed to improve the reactive power. It occurs at sub synchronous frequencies due to Electrical instability occurs as the result of shaft failures. Different FACTS devices such as the Static Synchronous Reactor (SSR), Static Synchronous Series Compensator (SSSC), Static Synchronous Compensator, Thyristor Controlled Series Compensator (TCSC), and Unified Power Flow Controller (UPFC) are analysed and reviewed in terms of SSR mitigation to develop a new strategy to mitigate SSR in the system. The new Multilevel inverter-based control strategy will be designed and developed based on the review and analysis using MATLAB Simulink to mitigate the SSR.
{"title":"Review and Analysis of Techniques to Mitigate Sub Synchronous Resonance using FACTS Devices","authors":"G. Ramya, P. Suresh, J. Jayashree, A. Charles, T. Daniya","doi":"10.1109/PECCON55017.2022.9851163","DOIUrl":"https://doi.org/10.1109/PECCON55017.2022.9851163","url":null,"abstract":"Flexible AC Transmission System devices are reactive power compensation devices employed to suppress the sub synchronous resonance (SSR) in the systems. The main important issue in the transmission lines of power system is SSR and it occurs during the condition, when series compensator is employed to improve the reactive power. It occurs at sub synchronous frequencies due to Electrical instability occurs as the result of shaft failures. Different FACTS devices such as the Static Synchronous Reactor (SSR), Static Synchronous Series Compensator (SSSC), Static Synchronous Compensator, Thyristor Controlled Series Compensator (TCSC), and Unified Power Flow Controller (UPFC) are analysed and reviewed in terms of SSR mitigation to develop a new strategy to mitigate SSR in the system. The new Multilevel inverter-based control strategy will be designed and developed based on the review and analysis using MATLAB Simulink to mitigate the SSR.","PeriodicalId":129147,"journal":{"name":"2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114488365","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}
2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future (PECCON)
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