Pub Date : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986412
Pallavi Rani, Shikhar, S. Murugesan, A. K. Singh
An efficient way to lessen the burden on the grid is by deploying micro-grids to offer local power to consumers. The issues associated by such micro-grids are power quality, load sharing, synchronization and operating the distributed generators in grid forming and grid following converters. In this work, modelling and implementation of grid following mode and grid forming mode of converters along with the phase locked loop, filter and controller are done. This paper presents an approach for controlling the power between DC source and utility grid, and vice verse. In both the type of modes, the modeled approach provides accurate active power, reactive power, phase angle, frequency, voltage and current waveform. The motive of this work is to explain the two operating modes of the inverter in a lucid manner for the researchers. This modeling is essential for the researchers to easily understand about the grid following and grid forming operating mode of the converters. A grid-connected inverter for distributed generation is modeled and it is presented in a simpler fashion so that the researcher can understand and implement both the fundamental idea behind the grid-connected inverter's component parts and how they work together as an unit. Both grid-forming and grid-following modes of operation are modelled and implemented in MATLAB R2021a.
{"title":"Modeling and Implementation of Grid Following and Grid Forming Inverters","authors":"Pallavi Rani, Shikhar, S. Murugesan, A. K. Singh","doi":"10.1109/UPCON56432.2022.9986412","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986412","url":null,"abstract":"An efficient way to lessen the burden on the grid is by deploying micro-grids to offer local power to consumers. The issues associated by such micro-grids are power quality, load sharing, synchronization and operating the distributed generators in grid forming and grid following converters. In this work, modelling and implementation of grid following mode and grid forming mode of converters along with the phase locked loop, filter and controller are done. This paper presents an approach for controlling the power between DC source and utility grid, and vice verse. In both the type of modes, the modeled approach provides accurate active power, reactive power, phase angle, frequency, voltage and current waveform. The motive of this work is to explain the two operating modes of the inverter in a lucid manner for the researchers. This modeling is essential for the researchers to easily understand about the grid following and grid forming operating mode of the converters. A grid-connected inverter for distributed generation is modeled and it is presented in a simpler fashion so that the researcher can understand and implement both the fundamental idea behind the grid-connected inverter's component parts and how they work together as an unit. Both grid-forming and grid-following modes of operation are modelled and implemented in MATLAB R2021a.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115125431","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 : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986480
Naveena Meka, P. Tripathy
There has been a significant increase in the quantum of photovoltaic (PV) generation over recent years. This has enhanced PV penetration into the present grid. In the current trend of the competitive power market, PV has gained a major foothold. Participation of PV in the current scheme of Availability Based Tariff (ABT) poses certain inherent challenges. Similarly, Single Part Tariffs alone as promulgated by Central Electricity Regulatory Commission (CERC) and several State Electricity Regulatory Commissions (SERC's) may not much evolve to their full potential. The paper evaluates current tariff practices on 10 MW PV plant which is a scaled version of a PV plant located in India. It further evolves viable and effective tariff models to keep must-run plants going. Mechanisms such as the Deviation Settlement, Absolute Error Model and Generation Based Incentivisation have been intricately dwelled upon. The suggestive tariff models will not only benefit the PV generators but also motivate their levels of participation.
{"title":"Modalities of Tariff Mechanisms for PV Generating Plants","authors":"Naveena Meka, P. Tripathy","doi":"10.1109/UPCON56432.2022.9986480","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986480","url":null,"abstract":"There has been a significant increase in the quantum of photovoltaic (PV) generation over recent years. This has enhanced PV penetration into the present grid. In the current trend of the competitive power market, PV has gained a major foothold. Participation of PV in the current scheme of Availability Based Tariff (ABT) poses certain inherent challenges. Similarly, Single Part Tariffs alone as promulgated by Central Electricity Regulatory Commission (CERC) and several State Electricity Regulatory Commissions (SERC's) may not much evolve to their full potential. The paper evaluates current tariff practices on 10 MW PV plant which is a scaled version of a PV plant located in India. It further evolves viable and effective tariff models to keep must-run plants going. Mechanisms such as the Deviation Settlement, Absolute Error Model and Generation Based Incentivisation have been intricately dwelled upon. The suggestive tariff models will not only benefit the PV generators but also motivate their levels of participation.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126744103","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 : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986406
K. Mohit, Rajeev Gupta, B. Kumar
Computer-aided diagnosis (CAD) emerges as an exhaustive diagnostic tool in the Covid-19 pandemic outbreak and is enormously investigated for automatic and more accurate detections. Artificial intelligence (AI) based radiographic images (Computed Tomography, X-Ray, Lung Ultrasound) interpretation improves the overall diagnosis efficiency of Covid-19 infections. In this paper, CAD based deep meta learning approach has been discussed for automatically quick analysis of chest computed tomography (CT) images regarding the early detection of corona virus (Covid-19) presence inside a subject. We incorporated a self-supervised contrastive-learning neural network for unbiased feature representation and classifications using fine-tuned pre-trained Inception module on 28203 chest CT images. This trainable multi-shot end-to-end deep learning architecture is validated on public dataset of normal and covid-19 CT images obtaining normalized accuracy of 0.9708. Results verify our model to be able enough to assist radiologists and specialists in screening and correct diagnosis of Covid-19 patients in less span of time.
{"title":"Self-Supervised Contrastive Learning for Covid-19 Classification from Computed Tomography Images","authors":"K. Mohit, Rajeev Gupta, B. Kumar","doi":"10.1109/UPCON56432.2022.9986406","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986406","url":null,"abstract":"Computer-aided diagnosis (CAD) emerges as an exhaustive diagnostic tool in the Covid-19 pandemic outbreak and is enormously investigated for automatic and more accurate detections. Artificial intelligence (AI) based radiographic images (Computed Tomography, X-Ray, Lung Ultrasound) interpretation improves the overall diagnosis efficiency of Covid-19 infections. In this paper, CAD based deep meta learning approach has been discussed for automatically quick analysis of chest computed tomography (CT) images regarding the early detection of corona virus (Covid-19) presence inside a subject. We incorporated a self-supervised contrastive-learning neural network for unbiased feature representation and classifications using fine-tuned pre-trained Inception module on 28203 chest CT images. This trainable multi-shot end-to-end deep learning architecture is validated on public dataset of normal and covid-19 CT images obtaining normalized accuracy of 0.9708. Results verify our model to be able enough to assist radiologists and specialists in screening and correct diagnosis of Covid-19 patients in less span of time.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130777002","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 : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986411
Narayana Darapaneni, Pramod Srinivas, K. Reddy, A. Paduri, Lakshmikanth Kanugovi, Pavithra J, S. B. G., B. S
Most of the real-world problems can be solved with the help of classification. Some problems that might feel to be regression can also be solved using classification by binning the values. But due to the presence of a large number of classification algorithms, it becomes difficult to choose one particular model. SVC, KNN, and Naive Bayes are some of the traditional models available which do the task quite efficiently, but when it comes to the explainability of the outcome these models fail to address them. This is when the real use of tree-based models comes in handy as we can visualize the entire flow of conditions that leads to a particular outcome. In this paper, we have tried to compare the performance and explainability of the Decision tree, Random Forest, AdaBoost, GBoost, and XGBoost for this we have considered the credit default dataset from Kaggle.
{"title":"Tree Based Models: A Comparative And Explainable Study For Credit Default Classification","authors":"Narayana Darapaneni, Pramod Srinivas, K. Reddy, A. Paduri, Lakshmikanth Kanugovi, Pavithra J, S. B. G., B. S","doi":"10.1109/UPCON56432.2022.9986411","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986411","url":null,"abstract":"Most of the real-world problems can be solved with the help of classification. Some problems that might feel to be regression can also be solved using classification by binning the values. But due to the presence of a large number of classification algorithms, it becomes difficult to choose one particular model. SVC, KNN, and Naive Bayes are some of the traditional models available which do the task quite efficiently, but when it comes to the explainability of the outcome these models fail to address them. This is when the real use of tree-based models comes in handy as we can visualize the entire flow of conditions that leads to a particular outcome. In this paper, we have tried to compare the performance and explainability of the Decision tree, Random Forest, AdaBoost, GBoost, and XGBoost for this we have considered the credit default dataset from Kaggle.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127248050","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 : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986476
A. Maurya, Md Akram Ahmad, Pankaj Kumar, J. Kumar, K. Koley
Complementary metal-oxide semiconductor (CMOS) technology is the most frequent technology used in the semiconductor industries. Its integration in integrated circuits (ICs) shows effective response and motivates to enhance the performance of electronic gadgets. However, due to the slight low ON-current and high OFF -current of metal-oxide semiconductor field-effect transistor (MOSFET), research is going on for the replacement of MOSFET for getting better ON-current to OFF-current ratio. The research on III- V semiconductor materials based MOSFE Ts shows better result and it seems that using III-V semiconductor material enhances the performance. So, in this report we have analysed the M OSFE T characteristics with the combinational arrangements of III and V group semiconductor materials, so that we could know which III- V semiconductor materials are reliable. The drain current characteristics of III- V MOSFETs have been observed to establish the comparative analysis of ON-current, OFF-current, ON-current to OFF-current ratio, and DIBL effect. The observed results are compared with the characteristics of Silicon based MOSFET to benchmark the device performance.
{"title":"Performance Analysis of Compound III-V Semiconductor Materials based MOSFET","authors":"A. Maurya, Md Akram Ahmad, Pankaj Kumar, J. Kumar, K. Koley","doi":"10.1109/UPCON56432.2022.9986476","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986476","url":null,"abstract":"Complementary metal-oxide semiconductor (CMOS) technology is the most frequent technology used in the semiconductor industries. Its integration in integrated circuits (ICs) shows effective response and motivates to enhance the performance of electronic gadgets. However, due to the slight low ON-current and high OFF -current of metal-oxide semiconductor field-effect transistor (MOSFET), research is going on for the replacement of MOSFET for getting better ON-current to OFF-current ratio. The research on III- V semiconductor materials based MOSFE Ts shows better result and it seems that using III-V semiconductor material enhances the performance. So, in this report we have analysed the M OSFE T characteristics with the combinational arrangements of III and V group semiconductor materials, so that we could know which III- V semiconductor materials are reliable. The drain current characteristics of III- V MOSFETs have been observed to establish the comparative analysis of ON-current, OFF-current, ON-current to OFF-current ratio, and DIBL effect. The observed results are compared with the characteristics of Silicon based MOSFET to benchmark the device performance.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127976248","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 : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986389
K. Kavi, Abhishek Devedi, R. Mishra
This paper compares and analyzes the performance of DMDG-TFET and DMDG-GDOV TFET with Si source and with heterojunction formed by Ge Source. It reports the influence of using gate drain overlap with heterojunction formed by Ge source on the performance parameters such as drain current(ID), subthreshold swing(SS), current switching ratio(ION/IOFF), am- bipolar current, capacitance, transconductance and intrinsic delay of the TFET device. The gate-drain overlap helps in improving the ambipolar behavior of the device as the electric field in the ambipolar region is reduced. Further the influence of Silicon-Germanium heterojunction reduces the tunneling barrier width which results in the improved-ON current of the proposed device. This also improves the transconductance and switching speed of the TFET device.
{"title":"Performace Improvement of TFET using Gate drain overlap structure with hetrojunction","authors":"K. Kavi, Abhishek Devedi, R. Mishra","doi":"10.1109/UPCON56432.2022.9986389","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986389","url":null,"abstract":"This paper compares and analyzes the performance of DMDG-TFET and DMDG-GDOV TFET with Si source and with heterojunction formed by Ge Source. It reports the influence of using gate drain overlap with heterojunction formed by Ge source on the performance parameters such as drain current(ID), subthreshold swing(SS), current switching ratio(ION/IOFF), am- bipolar current, capacitance, transconductance and intrinsic delay of the TFET device. The gate-drain overlap helps in improving the ambipolar behavior of the device as the electric field in the ambipolar region is reduced. Further the influence of Silicon-Germanium heterojunction reduces the tunneling barrier width which results in the improved-ON current of the proposed device. This also improves the transconductance and switching speed of the TFET device.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526781","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}
Smart agriculture or digital farming systems is a part of urban farming. It is known for their qualitative and quantitative cultivation of different varieties of crops to be grown in the farm or household gardens or kitchen gardens. Under the Internet of Things (IoT), other technologies are involved in the urban farming process include solar panels, soil moisture sensor technology, temperature sensing technology, automation, and irrigation systems. The application of smart agriculture using IoT tools can help us monitor and automate the process which requires regular monitoring. The smart urban farming process helped us to experiment with sensors like soil, temperature (at distinct temperatures), climate, and availability of moisture in the soil. After monitoring the parameters that affect the development of crops, we can provide crops the most suitable condition to grow in.
{"title":"Smart Urban Farming System","authors":"Sangeeta Kurundkar, Sayali Patukale, Rahul Ekambaram, Prathamesh Kachkure, Ritika Sisodiva, Dhiraj S. Rathod","doi":"10.1109/UPCON56432.2022.9986403","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986403","url":null,"abstract":"Smart agriculture or digital farming systems is a part of urban farming. It is known for their qualitative and quantitative cultivation of different varieties of crops to be grown in the farm or household gardens or kitchen gardens. Under the Internet of Things (IoT), other technologies are involved in the urban farming process include solar panels, soil moisture sensor technology, temperature sensing technology, automation, and irrigation systems. The application of smart agriculture using IoT tools can help us monitor and automate the process which requires regular monitoring. The smart urban farming process helped us to experiment with sensors like soil, temperature (at distinct temperatures), climate, and availability of moisture in the soil. After monitoring the parameters that affect the development of crops, we can provide crops the most suitable condition to grow in.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124928102","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 : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986420
Ashwani Kumar, R. Singh
In the era of the fast-growing communication world, wireless communication plays a vital role in transferring information between senders and the receivers. RFID (Radio Frequency Identification and Detection) communication is making ease to monitor, data capture, and identify different types of equipment and assets. There is a need to develop a reader antenna which uses hybrid technology and integrate with the indoor applications. In this paper, a new design of reader microstrip patch antenna is proposed using CST Microwave Studio simulation software. A low weight, circularly polarized antenna is proposed using FR4 as a substrate with dielectric constant $varepsilon_{r}=4.2$ and loss tangent $tan delta=0.025$. Characteristics of microstrip patch antenna such as VSWR, gain, S11, and radiation pattern were analyzed at resonant frequency of 5.43GHz. The result was verified by the fabrication of the antenna, resonating at 5.5 GHz and found to be used for Indoor Localization of inventory management and supply chain administration. VSWR of the antenna is 1.05 and the gain of the antenna is 2.05 dBi. The overall size occupied by the antenna is $50times 50 times 1.6 text{mm}$.
在通信世界快速发展的时代，无线通信在发送方和接收方之间的信息传递中起着至关重要的作用。RFID(无线射频识别和检测)通信使监控、数据捕获和识别不同类型的设备和资产变得容易。有必要开发一种使用混合技术并与室内应用相结合的读取天线。本文利用CST Microwave Studio仿真软件，设计了一种新型的阅读器微带贴片天线。提出了一种低重量圆极化天线，采用FR4作为衬底，介电常数为$varepsilon_{r}=4.2$，损耗正切为$tan delta=0.025$。分析了微带贴片天线在5.43GHz谐振频率下的驻波比、增益、S11和辐射方向图等特性。通过天线的制作验证了这一结果，谐振频率为5.5 GHz，可用于库存管理和供应链管理的室内定位。天线的驻波比为1.05，增益为2.05 dBi。天线占用的整体尺寸为$50times 50 times 1.6 text{mm}$。
{"title":"Design of RFID Reader Antenna for WLAN/WiMAX Application","authors":"Ashwani Kumar, R. Singh","doi":"10.1109/UPCON56432.2022.9986420","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986420","url":null,"abstract":"In the era of the fast-growing communication world, wireless communication plays a vital role in transferring information between senders and the receivers. RFID (Radio Frequency Identification and Detection) communication is making ease to monitor, data capture, and identify different types of equipment and assets. There is a need to develop a reader antenna which uses hybrid technology and integrate with the indoor applications. In this paper, a new design of reader microstrip patch antenna is proposed using CST Microwave Studio simulation software. A low weight, circularly polarized antenna is proposed using FR4 as a substrate with dielectric constant $varepsilon_{r}=4.2$ and loss tangent $tan delta=0.025$. Characteristics of microstrip patch antenna such as VSWR, gain, S11, and radiation pattern were analyzed at resonant frequency of 5.43GHz. The result was verified by the fabrication of the antenna, resonating at 5.5 GHz and found to be used for Indoor Localization of inventory management and supply chain administration. VSWR of the antenna is 1.05 and the gain of the antenna is 2.05 dBi. The overall size occupied by the antenna is $50times 50 times 1.6 text{mm}$.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132138107","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 : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986464
Vipin Kumar Chaudhary, Mukesh Singh, Bharat Lal
Future transportation is expected to rely on electric vehicles due to their durability and the reduced emissions of greenhouse gases and $CO_{2}$. However, the continual increase in the penetration of an electrical load leads to several other problems, including voltage configuration, identifying the best placement location for electric vehicle charging stations, and increasing net operating power losses of the distribution system. And also reduced voltage stability amplitude after deploying electric vehicle charging stations to the distribution network. As mentioned, it is essential to deploy the two algorithm-based appropriate electric vehicle charging stations in the proper location. One is the mathematical modeling-based electric vehicle charging station load, and the other is the random modeling-based electric vehicle charging station load. This study is based on the type of electric vehicle charging stations and their location and observed the voltage profile configuration, total power of the system, total line losses, real power, and reactive power. The proposed approach is verified on the IEEE-33 bus system with and without electric vehicle charging station modes and simulated using MATLAB programming tools. Finally, to signify the importance of electric vehicle charging station load systems, the authors will discuss the strengths and weaknesses of each solution. And also discuss the comparison between mathematical modeling-based electric vehicle charging station load and random modeling-based electric vehicle charging station load.
{"title":"Deployment Impact of Electric Vehicle Charging Stations on Radial Distribution System","authors":"Vipin Kumar Chaudhary, Mukesh Singh, Bharat Lal","doi":"10.1109/UPCON56432.2022.9986464","DOIUrl":"https://doi.org/10.1109/UPCON56432.2022.9986464","url":null,"abstract":"Future transportation is expected to rely on electric vehicles due to their durability and the reduced emissions of greenhouse gases and $CO_{2}$. However, the continual increase in the penetration of an electrical load leads to several other problems, including voltage configuration, identifying the best placement location for electric vehicle charging stations, and increasing net operating power losses of the distribution system. And also reduced voltage stability amplitude after deploying electric vehicle charging stations to the distribution network. As mentioned, it is essential to deploy the two algorithm-based appropriate electric vehicle charging stations in the proper location. One is the mathematical modeling-based electric vehicle charging station load, and the other is the random modeling-based electric vehicle charging station load. This study is based on the type of electric vehicle charging stations and their location and observed the voltage profile configuration, total power of the system, total line losses, real power, and reactive power. The proposed approach is verified on the IEEE-33 bus system with and without electric vehicle charging station modes and simulated using MATLAB programming tools. Finally, to signify the importance of electric vehicle charging station load systems, the authors will discuss the strengths and weaknesses of each solution. And also discuss the comparison between mathematical modeling-based electric vehicle charging station load and random modeling-based electric vehicle charging station load.","PeriodicalId":185782,"journal":{"name":"2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116951641","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 : 2022-12-02DOI: 10.1109/UPCON56432.2022.9986459
Hanif Zafor, Nabajyoti Mazumdar, A. Nag
A huge number of sensor hubs constitute wireless sensor networks (WSNs), each of which has at least one sensor, a power unit, a radio device for data transfer, and a processing unit. Sensor nodes are deployed geographically and equipped with low limited energy to monitor our environment and transfer data to a Sink node called base station (B.S). The data transmission may be in a single-hop or multiple-hop for the further processing. WSN confronts a number of difficulties, including energy constraints, coverage issues, and sensor node failure owing to a variety of factors. The survey research gives you quick and easy access to the notion of existing energy-efficient, coverage-aware, and fault-tolerant solutions. With this motive in mind, and taking into account the influence of the clustering process on the control and management of WSN energy usage. To address these issues, we looked at various current solutions in survey articles on cluster-based WSN routing protocols in terms of energy efficiency, coverage awareness, and fault tolerance. In this study, we assessed the articles in a static sink node based on their Characteristics and Objectives of different WSN clustering approaches, which we presented in two tables. Researchers may find this survey useful at the beginning for a quick understanding on gaps or shortcomings in the area of WSN static sink in order to conduct future research.
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