Pub Date : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358284
J. Bhutto, Abdulwasa B. Barnawi, M. Abdullah, S. Gupta
This paper presents a loss sensitivity factor (LSF) technique for improving the voltage profile of the grid connected photovoltaic (PV) system. Now a days, many of governments are encouraging people to install PV systems in their rooftops, agriculture fields, office buildings to increase the power supplies and reduce the power generation by using conventional energy sources like coal, diesel, etc. Continue increase of integration these PV power plants to grid will affect the voltage profile of the grid. Hence, maintaining the grid supply voltage within the limit and integration of generated PV power without deficient is a big challenge. The proposed loss sensitivity factor techniques is uses loss weight factor in calculation of power loss, grid synchronization and minimizes power loss during integration, therefore the voltage profile will be improved. This technique help to identify optimal placing of active power filters in the power system network. The PV system model is developed in MATLAB Simulink software and developed the proposed LSF method. A rigorous simulation tests are conducted to test the proposed LSF techniques. The simulation results have shown that the proposed LSF technique is working well in identifying the system requirements and shunt active power filter is working in compensating power quality issues and maintain voltage and current profiles as per standards.
{"title":"Integration of Solar Photovoltaic Systems to Grid using Loss Sensitivitity Factor method for Improvement of Voltage Profile","authors":"J. Bhutto, Abdulwasa B. Barnawi, M. Abdullah, S. Gupta","doi":"10.1109/ICRAIE51050.2020.9358284","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358284","url":null,"abstract":"This paper presents a loss sensitivity factor (LSF) technique for improving the voltage profile of the grid connected photovoltaic (PV) system. Now a days, many of governments are encouraging people to install PV systems in their rooftops, agriculture fields, office buildings to increase the power supplies and reduce the power generation by using conventional energy sources like coal, diesel, etc. Continue increase of integration these PV power plants to grid will affect the voltage profile of the grid. Hence, maintaining the grid supply voltage within the limit and integration of generated PV power without deficient is a big challenge. The proposed loss sensitivity factor techniques is uses loss weight factor in calculation of power loss, grid synchronization and minimizes power loss during integration, therefore the voltage profile will be improved. This technique help to identify optimal placing of active power filters in the power system network. The PV system model is developed in MATLAB Simulink software and developed the proposed LSF method. A rigorous simulation tests are conducted to test the proposed LSF techniques. The simulation results have shown that the proposed LSF technique is working well in identifying the system requirements and shunt active power filter is working in compensating power quality issues and maintain voltage and current profiles as per standards.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123056845","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358354
Atharv Paliwal, Bhavik Mohindroo, Kriti Suneja
This work proposes a Red Green Blue (RGB) image encryption and decryption digital system which uses random number sequence generators as core and also provides its internal architectural layout. SC-CNN (State Controlled Cellular Neural Network) based chaotic system which stands optimal in generating multi-scroll chaotic generators is inculcated in this system. The hyperbolic tangent function used in state equations of the chaotic generator is implemented via CORDIC (Coordinate Rotational Digital Computer) algorithm, which is an efficient algorithm to compute various trigonometric and hyperbolic functions. The above techniques are combined together to give hardware credibility to the scheme described. The randomness and the level of encryption are analyzed and validated with the help of multiple test inputs and corresponding encrypted outputs. The complete encryption and decryption flows are simulated using Xilinx Vivado 2019.1 and realized on FPGA (Field programmable gate array), Zynq 7 board, as the chosen device.
{"title":"Hardware Design of Image Encryption and Decryption Using CORDIC Based Chaotic Generator","authors":"Atharv Paliwal, Bhavik Mohindroo, Kriti Suneja","doi":"10.1109/ICRAIE51050.2020.9358354","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358354","url":null,"abstract":"This work proposes a Red Green Blue (RGB) image encryption and decryption digital system which uses random number sequence generators as core and also provides its internal architectural layout. SC-CNN (State Controlled Cellular Neural Network) based chaotic system which stands optimal in generating multi-scroll chaotic generators is inculcated in this system. The hyperbolic tangent function used in state equations of the chaotic generator is implemented via CORDIC (Coordinate Rotational Digital Computer) algorithm, which is an efficient algorithm to compute various trigonometric and hyperbolic functions. The above techniques are combined together to give hardware credibility to the scheme described. The randomness and the level of encryption are analyzed and validated with the help of multiple test inputs and corresponding encrypted outputs. The complete encryption and decryption flows are simulated using Xilinx Vivado 2019.1 and realized on FPGA (Field programmable gate array), Zynq 7 board, as the chosen device.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127235518","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358370
Kaja Bantha Navas Raja Mohamed, S. Prakash
The researchers have used various algorithms like Auto Regressive Integrated Moving Average (ARIMA), Nearest Neighbour Search, Wavelet Transform, Random Trees, Neural Network etc. to predict solar and wind forecasting. Though there are many algorithms for forecasting, Neural Network has gained special attention due its validity checking features. In these researches' the solar and wind data and pattern has been predicted by using Neural Network. Some researchers have combined neural network with another algorithm to form hybrid algorithm for prediction. Also, researches have been carried out combining two or three renewable energy resources like solar and wind etc. The review paper consists of Machine Learning techniques and wind energy resources, basic of wind resources parameters, wind energy resources prediction data using Neural Network, wind energy resources prediction data using Neural Network with its hybrid algorithm and wind and solar energy resources prediction using Neural Network with its hybrid algorithm. This paper complied scientometric with wind and solar energy resources forecasting with neural network in terms of distribution of documents, distribution of articles, citation of the documents, organization enhanced with research, organization enhanced with funding agencies and authors Contribution by year over the period 2010 -2020.
{"title":"A Systematic Review on Wind Energy Resources Forecasting by Neural Network","authors":"Kaja Bantha Navas Raja Mohamed, S. Prakash","doi":"10.1109/ICRAIE51050.2020.9358370","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358370","url":null,"abstract":"The researchers have used various algorithms like Auto Regressive Integrated Moving Average (ARIMA), Nearest Neighbour Search, Wavelet Transform, Random Trees, Neural Network etc. to predict solar and wind forecasting. Though there are many algorithms for forecasting, Neural Network has gained special attention due its validity checking features. In these researches' the solar and wind data and pattern has been predicted by using Neural Network. Some researchers have combined neural network with another algorithm to form hybrid algorithm for prediction. Also, researches have been carried out combining two or three renewable energy resources like solar and wind etc. The review paper consists of Machine Learning techniques and wind energy resources, basic of wind resources parameters, wind energy resources prediction data using Neural Network, wind energy resources prediction data using Neural Network with its hybrid algorithm and wind and solar energy resources prediction using Neural Network with its hybrid algorithm. This paper complied scientometric with wind and solar energy resources forecasting with neural network in terms of distribution of documents, distribution of articles, citation of the documents, organization enhanced with research, organization enhanced with funding agencies and authors Contribution by year over the period 2010 -2020.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116049158","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358295
Yasmine Berriane
Speaker's Biography
演讲者的传记
{"title":"Speaker's Biography","authors":"Yasmine Berriane","doi":"10.1109/ICRAIE51050.2020.9358295","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358295","url":null,"abstract":"Speaker's Biography","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116131464","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358357
About Jaipur
5th IEEE International Conference (Virtual Mode) on Recent Advances and Innovations in Engineering (ICRAIE 2020) IEEE Conference Record # 51050 DECEMBER 1-3, 2020
{"title":"5th IEEE International Conference (Virtual Mode) on Recent Advances and Innovations in Engineering (ICRAIE 2020) IEEE Conference Record # 51050 DECEMBER 1-3, 2020","authors":"About Jaipur","doi":"10.1109/ICRAIE51050.2020.9358357","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358357","url":null,"abstract":"5th IEEE International Conference (Virtual Mode) on Recent Advances and Innovations in Engineering (ICRAIE 2020) IEEE Conference Record # 51050 DECEMBER 1-3, 2020","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"33 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116735112","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358380
Afida Ahmad, A. Ashaari, Nora Baizura Mohd Isa
This paper proposes a function that can interpolate real data as well as preserving the nature of the data. A rational cubic Bézier function expressed in terms of Ball control points and weights is presented. Four shape parameters are proposed which provides more freedom to the user to control the shape of the data. Sufficient conditions needed to preserve its positivity are presented. The degree of smoothness attained achieved $C$1 continuity. Three different real data are used in the application which are real data of oxygen level in gas, real data of a conductance obtained from experiments and real data consists of the output of a pressurizer inside a Pressurized Water Reactor. The output measures the water level of the pressurizer when the inputs which are the temperature and heat loss are varied. The results show that the proposed method managed to produce smooth interpolants as well as preserving the positivity of the data.
{"title":"Using Bézier-Ball Function to Interpolate Positive Real Data and it's Application","authors":"Afida Ahmad, A. Ashaari, Nora Baizura Mohd Isa","doi":"10.1109/ICRAIE51050.2020.9358380","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358380","url":null,"abstract":"This paper proposes a function that can interpolate real data as well as preserving the nature of the data. A rational cubic Bézier function expressed in terms of Ball control points and weights is presented. Four shape parameters are proposed which provides more freedom to the user to control the shape of the data. Sufficient conditions needed to preserve its positivity are presented. The degree of smoothness attained achieved $C$1 continuity. Three different real data are used in the application which are real data of oxygen level in gas, real data of a conductance obtained from experiments and real data consists of the output of a pressurizer inside a Pressurized Water Reactor. The output measures the water level of the pressurizer when the inputs which are the temperature and heat loss are varied. The results show that the proposed method managed to produce smooth interpolants as well as preserving the positivity of the data.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"53 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116842707","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358320
Nurhanis Athirah Fadzil, S. Hatim, S. J. Elias, Siti Nurbava Ismail, Abd Razak Mansor, Adam Wong Yoon Khang
Learning medium for students in schools are very crucial as it will capture the student interest, thus make them understand about the topic. However, most of the time, students in school are learning in the traditional method, where all notes are obtained from textbooks provided for them. The theory explained in the textbooks make students confuse with what they had learn and the explanations is too details. This situation will affect the interest of students to study. With the growing of technology in almost every domain, sector, and industry revolution 4.0, mobile apps had become part of our life where the benefit of it also can be extend to the classroom. Thus, the use of mobile apps in education has several benefits by providing intuitive learning and attractive platforms. This research addresses the needs of mobile applications in learning environment. It will focus on development of a mobile apps for learning chemistry. This paper will consider the case study for a local secondary school in Malaysia. Usability test and Functionality test will be conducted to evaluate the function of the mobile apps. The methodology used to develop the mobile learning application is Mobile Application Development Life Cycle (MADLC) Model. The result form this research had shown that, mobile apps can help school students understanding the theory of specific topics in chemistry subject. Thus, mobile apps can be one of the learning tools, providing intuitive learning and attractive platforms, for students in school, which not only depending on their textbooks.
{"title":"Chemistry Education (Rate of Reaction) via Eleaming Mobile Application","authors":"Nurhanis Athirah Fadzil, S. Hatim, S. J. Elias, Siti Nurbava Ismail, Abd Razak Mansor, Adam Wong Yoon Khang","doi":"10.1109/ICRAIE51050.2020.9358320","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358320","url":null,"abstract":"Learning medium for students in schools are very crucial as it will capture the student interest, thus make them understand about the topic. However, most of the time, students in school are learning in the traditional method, where all notes are obtained from textbooks provided for them. The theory explained in the textbooks make students confuse with what they had learn and the explanations is too details. This situation will affect the interest of students to study. With the growing of technology in almost every domain, sector, and industry revolution 4.0, mobile apps had become part of our life where the benefit of it also can be extend to the classroom. Thus, the use of mobile apps in education has several benefits by providing intuitive learning and attractive platforms. This research addresses the needs of mobile applications in learning environment. It will focus on development of a mobile apps for learning chemistry. This paper will consider the case study for a local secondary school in Malaysia. Usability test and Functionality test will be conducted to evaluate the function of the mobile apps. The methodology used to develop the mobile learning application is Mobile Application Development Life Cycle (MADLC) Model. The result form this research had shown that, mobile apps can help school students understanding the theory of specific topics in chemistry subject. Thus, mobile apps can be one of the learning tools, providing intuitive learning and attractive platforms, for students in school, which not only depending on their textbooks.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128320919","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358337
Alok Negi, Prachi Chauhan, Krishan Kumar, R. S. Rajput
Multidisciplinary initiatives in the new world of coronavirus were combined to limit the spread of the pandemic. Interestingly, the AI group was a part of those efforts. This result-based approach is used to help scan, assess, predict and track current patients and possibly potential patients. Developments for tracking social distances or recognizing face masks have made headlines in particular. Most current advanced approaches to face mask recognition are built based on deep learning which is dependent on a large number of face samples. Nearly everybody wears a mask during corona virus outbreak in order to effectively avoid the spread of COVID-19 virus. Our goal is to train a customized deep learning model that helps to detect even if or not a person wears a mask and study the concept of model pruning with Keras-Surgeon. Model pruning can be efficient in reducing model size, so that it can be easily implemented and inferred on embedded systems.
{"title":"Face Mask Detection Classifier and Model Pruning with Keras-Surgeon","authors":"Alok Negi, Prachi Chauhan, Krishan Kumar, R. S. Rajput","doi":"10.1109/ICRAIE51050.2020.9358337","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358337","url":null,"abstract":"Multidisciplinary initiatives in the new world of coronavirus were combined to limit the spread of the pandemic. Interestingly, the AI group was a part of those efforts. This result-based approach is used to help scan, assess, predict and track current patients and possibly potential patients. Developments for tracking social distances or recognizing face masks have made headlines in particular. Most current advanced approaches to face mask recognition are built based on deep learning which is dependent on a large number of face samples. Nearly everybody wears a mask during corona virus outbreak in order to effectively avoid the spread of COVID-19 virus. Our goal is to train a customized deep learning model that helps to detect even if or not a person wears a mask and study the concept of model pruning with Keras-Surgeon. Model pruning can be efficient in reducing model size, so that it can be easily implemented and inferred on embedded systems.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124660684","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358303
H. Sharma, Rina Sharma, D. Somwanshi
Wireless Sensor ability is shifting our lives at a quick speed. Detecting highlight and remote component are two extraordinary things about this innovation that watches the encompassing condition without wire. A wide spread scope of entries are utilizing the Wireless Sensor innovation. Arranged work is to evaluate execution of Adhoc On-demand Multipath Distance Vector (AOMDV) with static and mobile sink hub based on following nature of administrations parameters Average End to End delay, Packet Delivery Ratio, Average Throughput, and Consumed Energy. Simulation based results contrasted static sink hub and moving sink hub and shows that arbitrary sink hub is increasingly skilled as far as generally speaking execution in WSN.
{"title":"A Comparison of Lifetime in WSN with Static and Mobile Sink","authors":"H. Sharma, Rina Sharma, D. Somwanshi","doi":"10.1109/ICRAIE51050.2020.9358303","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358303","url":null,"abstract":"Wireless Sensor ability is shifting our lives at a quick speed. Detecting highlight and remote component are two extraordinary things about this innovation that watches the encompassing condition without wire. A wide spread scope of entries are utilizing the Wireless Sensor innovation. Arranged work is to evaluate execution of Adhoc On-demand Multipath Distance Vector (AOMDV) with static and mobile sink hub based on following nature of administrations parameters Average End to End delay, Packet Delivery Ratio, Average Throughput, and Consumed Energy. Simulation based results contrasted static sink hub and moving sink hub and shows that arbitrary sink hub is increasingly skilled as far as generally speaking execution in WSN.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121175377","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 : 2020-12-01DOI: 10.1109/ICRAIE51050.2020.9358283
Harshit Kargeti, A. Sharma, Brijesh Singh
Mostly, photo voltaic (PV) panels are operated with integration of dc-dc power converter, whose duty ratio is controlled to track the instantaneous maximum power point of the PV source. With an uncertain variation of the shading on the PV modules/strings during the time of peak load demand, there is a need to study the variations of the duty ratio of the DC-DC converter connected between the source and the load, to maintain the desired terminal voltage for a grid-connected PV system. The present study proposes an approach for the determination of DC-DC converter duty-ratio with variation in the load demand, irradiance and weather temperature. The studied approach has been implemented for a PV system with standard PV module models. The duty-ratio of the DC-DC converter for maximum PowerPoint has been obtained without shading, uniform shading, and non-uniform shading cases. Simultaneous MPP duty-ratio values and three-dimensional plots for variation in the load demand and the irradiance have been presented. The results obtained are very useful for the proper design of the DC-DC converter.
{"title":"Performance Evaluation of PV Integrated DC-DC Converter with Load Demand, Irradiance, and Temperature Variations","authors":"Harshit Kargeti, A. Sharma, Brijesh Singh","doi":"10.1109/ICRAIE51050.2020.9358283","DOIUrl":"https://doi.org/10.1109/ICRAIE51050.2020.9358283","url":null,"abstract":"Mostly, photo voltaic (PV) panels are operated with integration of dc-dc power converter, whose duty ratio is controlled to track the instantaneous maximum power point of the PV source. With an uncertain variation of the shading on the PV modules/strings during the time of peak load demand, there is a need to study the variations of the duty ratio of the DC-DC converter connected between the source and the load, to maintain the desired terminal voltage for a grid-connected PV system. The present study proposes an approach for the determination of DC-DC converter duty-ratio with variation in the load demand, irradiance and weather temperature. The studied approach has been implemented for a PV system with standard PV module models. The duty-ratio of the DC-DC converter for maximum PowerPoint has been obtained without shading, uniform shading, and non-uniform shading cases. Simultaneous MPP duty-ratio values and three-dimensional plots for variation in the load demand and the irradiance have been presented. The results obtained are very useful for the proper design of the DC-DC converter.","PeriodicalId":149717,"journal":{"name":"2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126493191","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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