2022 IEEE International Power and Renewable Energy Conference (IPRECON)最新文献_第2页

Mitigation of MPPT Generated Interharmonics in Grid Connected PV Systems by Modified P and O Algorithm 基于改进P和O算法的并网光伏系统MPPT间谐波抑制

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059491

Rakhee R, P. Latha

{"title":"Mitigation of MPPT Generated Interharmonics in Grid Connected PV Systems by Modified P and O Algorithm","authors":"Rakhee R, P. Latha","doi":"10.1109/IPRECON55716.2022.10059491","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059491","url":null,"abstract":"The high penetration of renewable energy systems like photovoltaic (PV)systems in the distribution network gives rise to several power quality issues. The causes and effects of interharmonics generated from PV side is addressed in recent literature and the perturbation of the Maximum Power Point Tracking (MPPT) algorithm is identified as the major cause for inducing interharmonics in the grid current. In this paper, the effect of perturbation step size of MPPT algorithm on different MPPT performance factors like tracking speed, efficiency and interharmonics is studied. Usually, a compromise is to be made between these factors while choosing step size. In this paper, P & O algorithm with two fixed step sizes, an adaptive step size P & O algorithm and a hybrid P & O algorithm is proposed to reduce interharmonics generated from MPPT. The algorithms are simulated in MATLAB and results are compared with conventional fixed step size P & O algorithm with small as well as big perturbation step size. Analysis of the results show that the Hybrid P and O MPPT method reduces interharmonics introduced by the MPPT operation without much compromising the other performance factors of the algorithm.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123844396","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}

引用次数: 0

IoT indoor localization using design of experiment analysis and multi-output regression models 利用实验分析和多输出回归模型设计物联网室内定位

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059563

Angelino A. Pimentel, R. Baldovino

{"title":"IoT indoor localization using design of experiment analysis and multi-output regression models","authors":"Angelino A. Pimentel, R. Baldovino","doi":"10.1109/IPRECON55716.2022.10059563","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059563","url":null,"abstract":"Received signal strength indicator (RSSI) measures the power level present in a received radio signal, and it is the mainstream wireless signal measurement tool for vast indoor localization systems. In this study, the researchers addressed the lack of research in comparing popular wireless technologies using design of experiments (DOE) and lack of contrast of inherently multi-output learning regression algorithms to improve the model accuracy and set a standard algorithm for indoor localization. This would benefit IoT developers in decisioning thewireless technology and algorithm to be utilized in a specific task. The study investigated RSSI from independent factors using coded levels: interference, distances from the transmitter, and wireless technologies on publicly available IoT localization datasets. The study determined the parameters significantly affecting the RSSI through DOE and statistical analysis. Using Minitab®, the study implemented a 3k full-factorial design and analyzed the model using ANOVA, optimization and residual plots, regression equations, and model summaries. Moreover, different regression algorithms were tested: multiple linear, k-nearest neighbors, decision tree, and random forest regression methods. Performance metrics used were MSE, standard deviation, and R-sq values. Results showed that there is an optimum wireless technology for a given set of optimal conditions. Also, the DT model outperformed well for an indoor localization application.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121302712","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}

引用次数: 0

Performance Evaluation of PV Array Systems Under Partial Shaded Situations to Minimize Mismatching Power Losses 部分荫蔽条件下光伏阵列系统性能评估以减少失配功率损耗

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059499

S. Kazmi, Muzammil M. Ahmad, Sheikh Farha Ahmad, R. Pachauri

引用次数: 0

Validation of Global Wind Atlas for India 印度全球风地图集的验证

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059572

B. Ramdas, J. Bastin, B. Krishnan, T. S. Kumar, J. C. Solomon, K. Balaraman

{"title":"Validation of Global Wind Atlas for India","authors":"B. Ramdas, J. Bastin, B. Krishnan, T. S. Kumar, J. C. Solomon, K. Balaraman","doi":"10.1109/IPRECON55716.2022.10059572","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059572","url":null,"abstract":"Identification of wind potential sites is the preliminary work in the wind farm development process. This has been initially achieved with the support of wind atlases. The validation of wind atlas based on ground measurements is an essential work to enhance confidence on their usage. The latest version of Global Wind Atlas (GWA) has been introduced in November 2019 which indicates the wind potential across the globe at a node spacing of 250m. In this paper, Annual Average Wind Speed and Wind Power Density validation of GWA in offshore, onshore and Islands sites have been carried out for India based on the ground based measurements. This paper very first informs the quality check carried out on the atlas and secondly the validation of it based on the field measurement data. Based on the analysis, the GWA annual average wind speed predictions in offshore and onshore homogeneous sites are found to be within the defined uncertainty band of measured wind speeds. The GWA wind speed correlation in offshore sites is found to be better than other sites. However, in Complex and North Eastern states, the GWA wind speed in more than 50% of sites is falling out of the uncertainty band of measured wind speed. In Islands, the GWA underestimates the annual average wind speed in Lakshadweep and overestimates in Andaman & Nicobar.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338762","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}

引用次数: 1

A New Step-up Converter with Voltage Booster Units and Three-level Structure for Renewable Energy Application 一种可再生能源应用的新型升压单元三电平结构升压变换器

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059492

Zhangyong Chen, F. Xiao, Haifeng Liu

引用次数: 0

An Ensembling Approach using DL & Non-DL Techniques for Detecting Brain Tumors using MRI Scans MRI扫描中使用DL和非DL技术检测脑肿瘤的集成方法

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059480

R. Singhal, Shailender Gupta, Poonam Singhal

{"title":"An Ensembling Approach using DL & Non-DL Techniques for Detecting Brain Tumors using MRI Scans","authors":"R. Singhal, Shailender Gupta, Poonam Singhal","doi":"10.1109/IPRECON55716.2022.10059480","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059480","url":null,"abstract":"A brain tumor is an abnormal growth of brain cells and tissues, which may further lead to life-threatening diseases, one of them being cancer. Doctors use Magnetic Resonance Imaging (MRI) scans to identify such tumors. However, the primary concern of detecting and extracting these infectious tumors using MRI is highly tedious and complex, hindering the accuracy of trained clinicians and radiologists. Thus, to address these challenges and categorize whether a tumor is present inside the brain, researchers have begun employing various Machine Learning (ML) and Deep Learning (DL) algorithms. Apart from these techniques, other non-DL algorithms have also been used to solve the problem. Thus, in this paper, the proposed scheme is based on utilizing various non-DL features - statistical, image-based, and the novel technique of Topological Data Analysis (TDA) and ensembling them with DL-based techniques. These non-DL features are initially embedded in the original MRI scan and passed on through a CNN-based classifier. The proposed model is able to achieve higher accuracies, precision, and recall when compared to the existing VGGNet16 and ResNet50 models.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115947979","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}

引用次数: 0

Vedic Multiplier and Wallace Tree Adders Based Optimised Processing Element Unit for CNN on FPGA 基于FPGA的CNN优化处理单元Vedic乘法器和Wallace树加法器

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059532

Dhanya Ok, Y. Premson, R. Sakthivel

引用次数: 0

IoT Enabled Electronic Security & Remote Monitoring Solution For Electric Bikes 基于物联网的电动自行车电子安全和远程监控解决方案

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059526

Anna Joy, A. Ravi, Jestin Roy, G. Karthikeyan, T. Rajan

{"title":"IoT Enabled Electronic Security & Remote Monitoring Solution For Electric Bikes","authors":"Anna Joy, A. Ravi, Jestin Roy, G. Karthikeyan, T. Rajan","doi":"10.1109/IPRECON55716.2022.10059526","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059526","url":null,"abstract":"The Internet of Things (IoT) will be able to integrate a wide range of various and heterogeneous end systems transparently and smoothly, while also offering open access to chosen subsets of data for the creation of a wide range of digital services. The enormously wide range of devices, link layer technologies, and services that could be included in such a system makes it a very difficult undertaking to create a standard design for the IoT. This study suggests creating a short-distance shared transportation system with smart mobility. The system comprises of a charging station, a web application, a mobile application, a server, and an edge computing device that is mounted on an electric bike (e-bike). Each bicycle is regarded as a thing (Thing) that is linked to the internet, or a “Internet of Things” (IoT). The location, condition, and environmental parameters of the bike are uploaded to the web server for data analytics and display by an administrator-specific web application. Users can start utilising the bike sharing system by downloading a mobile app. The proposed system can be scaled to build a distributed shared mobility system that can fit hundreds of e-bikes.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"10 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132407290","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}

引用次数: 0

Data-driven Model Development and Validation for Laboratory Scale OC-OTEC Plant 实验室规模OC-OTEC工厂的数据驱动模型开发和验证

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059574

R. S, S. S, R. S K, B. Pattanaik, S. Sutha, P. Jalihal

{"title":"Data-driven Model Development and Validation for Laboratory Scale OC-OTEC Plant","authors":"R. S, S. S, R. S K, B. Pattanaik, S. Sutha, P. Jalihal","doi":"10.1109/IPRECON55716.2022.10059574","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059574","url":null,"abstract":"The growth of Renewable Energy (RE) resources is increasing rapidly to meet the energy and freshwater demand of the remote islands. Ocean Thermal Energy Conversion (OTEC) is identified as one of the promising renewable energy resources for tropical islands. Major challenges associated with OTEC are to improve the efficiency and reduce the production cost. Data-driven approach is one of the efficient techniques to develop models from Real time data to improve the efficiency of industrial processes and develop advanced control schemes. In this paper, linear data-driven models are developed for the Open Cycle (OC-OTEC) process by considering it as Single -Input Single Output (SISO) and Multi-Input Multi-Output (MIMO). Data is collected from OTEC Laboratory scale experimental setup established at National Institute of Ocean Technology (NIOT) and data driven models are developed using system identification techniques. To identify the proper inputs and outputs, sensitivity analysis is carried out based on the collected data. Then, models for OC-OTEC are developed to generate power and freshwater. The manipulated variables for model development are considered as sea surface warm water flow rate and deep sea cold water flow rate and disturbance as sea surface temperature variation due to climate changes. Finally, the developed models are validated by evaluating their performance metrics.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131171549","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}

引用次数: 0

A Single-Module Multi Input Multi Output DC-DC Converter Driven E-Rickshaw Based on Hybrid Sources 基于混合电源的单模块多输入多输出DC-DC变换器驱动三轮车

2022 IEEE International Power and Renewable Energy Conference (IPRECON) Pub Date : 2022-12-16 DOI: 10.1109/IPRECON55716.2022.10059669

Tuhinanshu Mishra, Ravindra K. Singh

引用次数: 0