Pub Date : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386738
K. Sardar, A. Maji, K. Mandal, B. Tudu
A control methodology is presented here to generate and support active as well as reactive power flow from the photovoltaic (PV) system. This system ensures maximum active power extraction from PV system for the load and reactive power support for the grid. Two-stage method is applied for better utilization of PV system. In first stage, DC/DC boost converter is considered and the Perturb and Observe (P & O) algorithm plays important role in extracting maximum power from PV system. In second stage, a power controller is implemented for conversion of DC power to AC power. A current controller along with a dc-link voltage regulator acts as active power controller and current controller along with a sensing unit which senses the quadrature component of the load current acts as a reactive power controller. Active power and reactive power along with voltage and current at different stages of the system have been observed. The system efficiency is found to be approximately 97%.
本文提出了一种控制方法来产生和支持光伏(PV)系统的有功和无功功率流。该系统保证了光伏系统对负荷的最大有功功率提取和对电网的无功功率支持。为了更好地利用光伏系统，采用了两级法。第一阶段考虑DC/DC升压变换器，其中Perturb and Observe (P & O)算法在光伏系统的最大功率提取中发挥重要作用。在第二阶段，实现用于将直流电源转换为交流电源的电源控制器。电流控制器与直流电压调节器一起作为有功功率控制器，电流控制器与传感单元一起检测负载电流的正交分量作为无功功率控制器。观察了系统不同阶段的有功功率和无功功率随电压和电流的变化情况。系统效率约为97%。
{"title":"Control Strategy for Active and Reactive Power Regulation of Grid Tied Photovoltaic System","authors":"K. Sardar, A. Maji, K. Mandal, B. Tudu","doi":"10.1109/IEMRE52042.2021.9386738","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386738","url":null,"abstract":"A control methodology is presented here to generate and support active as well as reactive power flow from the photovoltaic (PV) system. This system ensures maximum active power extraction from PV system for the load and reactive power support for the grid. Two-stage method is applied for better utilization of PV system. In first stage, DC/DC boost converter is considered and the Perturb and Observe (P & O) algorithm plays important role in extracting maximum power from PV system. In second stage, a power controller is implemented for conversion of DC power to AC power. A current controller along with a dc-link voltage regulator acts as active power controller and current controller along with a sensing unit which senses the quadrature component of the load current acts as a reactive power controller. Active power and reactive power along with voltage and current at different stages of the system have been observed. The system efficiency is found to be approximately 97%.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114547585","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 : 2021-02-05DOI: 10.1109/iemre52042.2021.9387021
Sangeeta Sahu, B. Nayak, R. Dash
Five-phase permanent magnet synchronous motors (PMSM) have significant applications in which highly accurate speed and torque control of the motor are a major requirement. This paper presents the speed and torque ripple analysis of five phase vector controlled Permanent Magnet Synchronous Motor at different speed transition. The average torque, torque ripple, speed and speed ripple are calculated and analyzed for Permanent Magnet Synchronous Motor. The analysis has been carried out through MATLAB Simulink Power Graphical User Interface.
{"title":"Modeling and Vector Control of Five Phase Surface Permanent Magnet Synchronous Motor","authors":"Sangeeta Sahu, B. Nayak, R. Dash","doi":"10.1109/iemre52042.2021.9387021","DOIUrl":"https://doi.org/10.1109/iemre52042.2021.9387021","url":null,"abstract":"Five-phase permanent magnet synchronous motors (PMSM) have significant applications in which highly accurate speed and torque control of the motor are a major requirement. This paper presents the speed and torque ripple analysis of five phase vector controlled Permanent Magnet Synchronous Motor at different speed transition. The average torque, torque ripple, speed and speed ripple are calculated and analyzed for Permanent Magnet Synchronous Motor. The analysis has been carried out through MATLAB Simulink Power Graphical User Interface.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125630320","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386525
Aritra Dutta, R. Bose, S. K. Chakraborty, Sandip Roy, Haraprasad Mondal
Data and veracious information are an important feature of any organization; it takes special care as a like asset of the organization. Cloud computing system main target to provide service to the user like high-speed access user data for storage and retrieval. Now, big concern is data protection in cloud computing technology as because data leaking and various malicious attacks happened in cloud computing technology. This study provides user data protection in the cloud storage device. The article presents the architecture of a data security hybrid infrastructure that protects and stores the user data from the unauthenticated user. In this hybrid model, we use a different type of security model.
{"title":"Data Security Mechanism for Green Cloud","authors":"Aritra Dutta, R. Bose, S. K. Chakraborty, Sandip Roy, Haraprasad Mondal","doi":"10.1109/IEMRE52042.2021.9386525","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386525","url":null,"abstract":"Data and veracious information are an important feature of any organization; it takes special care as a like asset of the organization. Cloud computing system main target to provide service to the user like high-speed access user data for storage and retrieval. Now, big concern is data protection in cloud computing technology as because data leaking and various malicious attacks happened in cloud computing technology. This study provides user data protection in the cloud storage device. The article presents the architecture of a data security hybrid infrastructure that protects and stores the user data from the unauthenticated user. In this hybrid model, we use a different type of security model.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126739689","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386732
K. Das, A. Baruah
This paper proposes a new learning about the significance of part elements of a scene image with the effort of data processing. A top down tree structure with every node representing an annotation or bounding box having labeled visual features of an object existing in the image is studied in the paper. The images and its object annotations are from a trained dataset and are parsed to obtain the proposed representation. The images from the datasets and their parsed tree representations will be trained using a network called LSTM (Long Short Term Memory) network. The object detection may not be agnostic to the entire content of the image due to being influenced by the image composition and the discovered parts. The attempt has been made to show the object detection as a representation of the objects and their locations, parts of these objects, and the accuracy of the object detection method has been noted to have an efficient record with the implementation of the baseline Fast Region Based Convolutional Neural Network(FRCNN) method. The tested google open images datasets are used and found to have increased object detection record in notably respect to the use of high cost sensors in digital devices.
{"title":"A Study of Data Processing for Object Recognition in Scene Image using FRCNN: A Smart Grid Technology","authors":"K. Das, A. Baruah","doi":"10.1109/IEMRE52042.2021.9386732","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386732","url":null,"abstract":"This paper proposes a new learning about the significance of part elements of a scene image with the effort of data processing. A top down tree structure with every node representing an annotation or bounding box having labeled visual features of an object existing in the image is studied in the paper. The images and its object annotations are from a trained dataset and are parsed to obtain the proposed representation. The images from the datasets and their parsed tree representations will be trained using a network called LSTM (Long Short Term Memory) network. The object detection may not be agnostic to the entire content of the image due to being influenced by the image composition and the discovered parts. The attempt has been made to show the object detection as a representation of the objects and their locations, parts of these objects, and the accuracy of the object detection method has been noted to have an efficient record with the implementation of the baseline Fast Region Based Convolutional Neural Network(FRCNN) method. The tested google open images datasets are used and found to have increased object detection record in notably respect to the use of high cost sensors in digital devices.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125526147","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386742
D. Majumdar, S. Pal, R. Ganguly
Reliability estimation of photovoltaic (PV) modules is an essential aspect of selecting the technology of PV modules by PV manufacturers. The authors of this paper use a few figures of merit (FOM) to perform the “Reliability Analysis” of PV modules. The FOM of PV modules of various wattages and produced by different technologies are measured. The authors have done all the experiments in open roof-top atmosphere conditions at different insolations and temperatures.
{"title":"Comparative Reliability Analysis of PV Modules under tropical conditions","authors":"D. Majumdar, S. Pal, R. Ganguly","doi":"10.1109/IEMRE52042.2021.9386742","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386742","url":null,"abstract":"Reliability estimation of photovoltaic (PV) modules is an essential aspect of selecting the technology of PV modules by PV manufacturers. The authors of this paper use a few figures of merit (FOM) to perform the “Reliability Analysis” of PV modules. The FOM of PV modules of various wattages and produced by different technologies are measured. The authors have done all the experiments in open roof-top atmosphere conditions at different insolations and temperatures.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116544967","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386524
Vishnu Vardhan Sai Lanka, Millend Roy, Shikhar Suman, Shivam Prajapati
The paper presents a framework that realistically simulates a microgrid and forecasts renewable energy and load demand. Electricity spot prices are also forecasted and used by the scheduler to optimize the total microgrid cost per day. The energy storage and conventional supplies are coherently scheduled to meet the demand. Forecasting models described here give an excellent insight to choose the appropriate architecture to safeguard grid stability, smooth scheduling, and energy management. Finally, the results help in a better understanding of the functioning of the smart grid system.
{"title":"Renewable Energy and Demand Forecasting in an Integrated Smart Grid","authors":"Vishnu Vardhan Sai Lanka, Millend Roy, Shikhar Suman, Shivam Prajapati","doi":"10.1109/IEMRE52042.2021.9386524","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386524","url":null,"abstract":"The paper presents a framework that realistically simulates a microgrid and forecasts renewable energy and load demand. Electricity spot prices are also forecasted and used by the scheduler to optimize the total microgrid cost per day. The energy storage and conventional supplies are coherently scheduled to meet the demand. Forecasting models described here give an excellent insight to choose the appropriate architecture to safeguard grid stability, smooth scheduling, and energy management. Finally, the results help in a better understanding of the functioning of the smart grid system.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133942922","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386730
Dhruv Batra, Shagun Saboo, Anurag Techkchandani
In India, there are many Agri-tech start-ups, which majorly focused on supply chain, and now focusing on the expansion of farms and management of yields. There is a larger area, which is still unexplored and has never achieved any focus by any start-ups,” The leftover stubble after the segregation of grains”. We all know, we are into a pandemic situation, which has an alarming risk of deterioration of lungs of all the COVID19 recovered as well as non-recovered patient. As we are approaching the month of October, North India has a greater challenge coming its way, that is Stubble Burning. Keeping this in mind, this paper focuses on the prediction of stubble produced in a particular farm using OpenCV and AI, and calculation of its actual worth, which will help convince the farmers to sell it instead of burning. Managing the disposal of stubble in a better way, and helping in reducing farmers suicide and also to grow their economy using this model.
{"title":"Crop Stubble Burning: Can modern technology trigger a new revolution?","authors":"Dhruv Batra, Shagun Saboo, Anurag Techkchandani","doi":"10.1109/IEMRE52042.2021.9386730","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386730","url":null,"abstract":"In India, there are many Agri-tech start-ups, which majorly focused on supply chain, and now focusing on the expansion of farms and management of yields. There is a larger area, which is still unexplored and has never achieved any focus by any start-ups,” The leftover stubble after the segregation of grains”. We all know, we are into a pandemic situation, which has an alarming risk of deterioration of lungs of all the COVID19 recovered as well as non-recovered patient. As we are approaching the month of October, North India has a greater challenge coming its way, that is Stubble Burning. Keeping this in mind, this paper focuses on the prediction of stubble produced in a particular farm using OpenCV and AI, and calculation of its actual worth, which will help convince the farmers to sell it instead of burning. Managing the disposal of stubble in a better way, and helping in reducing farmers suicide and also to grow their economy using this model.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123955442","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386973
S. Shree, Shweta Bharti, Chameli Reang, Aditya Pratyush, Pooja Joshi
This paper presents cascade amplifier with parametric variation using CMOS technology which can be stimulated at lower technology node. Amplifiers used for high frequency operations and higher bandwidth designed by BJT technology undergoes various limitations like small scale integration, power consumption and high frequency operation. CMOS Technology has an edge over BJT in various terms like low power dissipation, large-scale integration and high speed. This paper reflects the advantages of using MOSFET Technology for direct coupled common emitter followed by common base amplifier where we try to apply parametric variations in the proposed work which directly reduces the leakage current and hence power consumption in CMOS Technology. This research depicts trusted changes in power consumption for CMOS based cascade amplifier as compared to conventional cascade amplifier. The research paper also shows high performance by changing “w/l” ratio as a process parameter for a particular Technology node. In this paper, chip variations and environmental variation including FinFET Technology are taken into account with material properties to reduce the power consumption of cascade amplifier in the standby mode. The proposed work has several applications in high frequency amplifier design where parameters associated with amplifier can be improved by parametric variation and proposed FinFET based amplifier design.
{"title":"Cascade FinFET Direct Coupled Amplifier with Power Efficient Technique","authors":"S. Shree, Shweta Bharti, Chameli Reang, Aditya Pratyush, Pooja Joshi","doi":"10.1109/IEMRE52042.2021.9386973","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386973","url":null,"abstract":"This paper presents cascade amplifier with parametric variation using CMOS technology which can be stimulated at lower technology node. Amplifiers used for high frequency operations and higher bandwidth designed by BJT technology undergoes various limitations like small scale integration, power consumption and high frequency operation. CMOS Technology has an edge over BJT in various terms like low power dissipation, large-scale integration and high speed. This paper reflects the advantages of using MOSFET Technology for direct coupled common emitter followed by common base amplifier where we try to apply parametric variations in the proposed work which directly reduces the leakage current and hence power consumption in CMOS Technology. This research depicts trusted changes in power consumption for CMOS based cascade amplifier as compared to conventional cascade amplifier. The research paper also shows high performance by changing “w/l” ratio as a process parameter for a particular Technology node. In this paper, chip variations and environmental variation including FinFET Technology are taken into account with material properties to reduce the power consumption of cascade amplifier in the standby mode. The proposed work has several applications in high frequency amplifier design where parameters associated with amplifier can be improved by parametric variation and proposed FinFET based amplifier design.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127437048","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 : 2021-02-05DOI: 10.1109/IEMRE52042.2021.9386754
Farhan Hai Khan, Tannistha Pal, Bishal Kundu, Rounik Roy
Wind energy is one of the fastest-growing green technologies as it provides clean, safe, and renewable electricity generation. This study provides insights into the available methodologies for sustainable power harnessing using wind resources, scrutinizing the developments in the recent decades and the future potential of global wind power industries. Contrasting and comparing the expected Weibull distribution to the true frequency distribution of the actual wind speed, this research proposes an empirical equation using Polynomial Lasso Regression techniques over field data obtained from Turkey, for the instantaneous active power generated by wind turbines in practical scenarios. A detailed overview of the wind energy calculation and improvements is discussed with the existing wind power production techniques. Finally, an optimal analysis of wind power utilization in top Indian states, and inspection of potential wind power applications is carried out with respect to the Indian subcontinent.
{"title":"Wind Energy: A Practical Power Analysis Approach","authors":"Farhan Hai Khan, Tannistha Pal, Bishal Kundu, Rounik Roy","doi":"10.1109/IEMRE52042.2021.9386754","DOIUrl":"https://doi.org/10.1109/IEMRE52042.2021.9386754","url":null,"abstract":"Wind energy is one of the fastest-growing green technologies as it provides clean, safe, and renewable electricity generation. This study provides insights into the available methodologies for sustainable power harnessing using wind resources, scrutinizing the developments in the recent decades and the future potential of global wind power industries. Contrasting and comparing the expected Weibull distribution to the true frequency distribution of the actual wind speed, this research proposes an empirical equation using Polynomial Lasso Regression techniques over field data obtained from Turkey, for the instantaneous active power generated by wind turbines in practical scenarios. A detailed overview of the wind energy calculation and improvements is discussed with the existing wind power production techniques. Finally, an optimal analysis of wind power utilization in top Indian states, and inspection of potential wind power applications is carried out with respect to the Indian subcontinent.","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122948378","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 : 2021-02-05DOI: 10.1109/iemre52042.2021.9386734
{"title":"Contributed Papers","authors":"","doi":"10.1109/iemre52042.2021.9386734","DOIUrl":"https://doi.org/10.1109/iemre52042.2021.9386734","url":null,"abstract":"","PeriodicalId":202287,"journal":{"name":"2021 Innovations in Energy Management and Renewable Resources(52042)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122778693","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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