2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)最新文献_第2页

ABC Algorithm Based Fuzzy-Pid-(1+Pidd) Controller for Load Frequency Control in Multi Microgrids 基于ABC算法的模糊pid -(1+ pid)控制器在多微电网负荷频率控制中的应用

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633638

Satyabrata Dalei, B. P. Sahoo, Ramendranath Polai, Anubhav Nanda, Sujit Kumar Minz

引用次数: 0

Analysis of Partial Shading Effect on the Crystalline Silicon Photovoltaic Module Temperature Distribution 部分遮阳对晶体硅光伏组件温度分布的影响分析

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633733

Manish Kumar, H. M. Niyaz, Rajesh Gupta

{"title":"Analysis of Partial Shading Effect on the Crystalline Silicon Photovoltaic Module Temperature Distribution","authors":"Manish Kumar, H. M. Niyaz, Rajesh Gupta","doi":"10.1109/RDCAPE52977.2021.9633733","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633733","url":null,"abstract":"The electrical mismatch occurs in the serially connected solar cells under the partially shaded photovoltaic (PV) modules due to non-uniform illumination. The mismatch leads to a non-uniform distribution of temperature in the PV module, which can have a detrimental effect on long-term reliability and instantaneous output power. The present research aims to study temperature distribution under the active and inactive states of bypass diode in a partially shaded PV module. The distribution of temperature in a shaded PV module is estimated using the proposed electro-thermal PSPICE model. The temperature distribution has been estimated and analyzed for an increasing number of shaded cells and their shaded area. The proposed model is validated with the experiment. Results show that the temperature gradient and its distribution in a shaded PV module changes in the transition of bypass diode state from inactive to active. This change in temperature gradient and its distribution has been quantified in terms of the thermal shade effect factor. A thermal shade effect factor value less than −1 indicates the temperature gradient amplification during the active bypass diode state. This amplification would cause the temperature of the shaded cell to rise manifold. On the other hand, a thermal shade effect factor value greater than −1 indicates the higher temperature gradient during the inactive bypass diode state.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115514100","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: 2

Detection of Pancreatic Tumor using Particle Swarm Optimization based Image Enhancement 基于粒子群优化图像增强的胰腺肿瘤检测

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633730

Bhawna Dhruv, Neetu Mittal, Megha Modi

引用次数: 0

COVIDetect-DESVM: Explainable framework using Differential Evolution Algorithm with SVM classifier for the diagnosis of COVID-19 COVIDetect-DESVM:基于差分进化算法和SVM分类器的COVID-19诊断可解释框架

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633679

Abhishek Dixit, Ashish Mani, Rohit Bansal

{"title":"COVIDetect-DESVM: Explainable framework using Differential Evolution Algorithm with SVM classifier for the diagnosis of COVID-19","authors":"Abhishek Dixit, Ashish Mani, Rohit Bansal","doi":"10.1109/RDCAPE52977.2021.9633679","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633679","url":null,"abstract":"The SARS-CoV-2 (COVID-19) epidemic has a huge impact on the health and daily life of people. More than 200 countries are impacted due to this pandemic. To light the COVID-19 virus we need a powerful monitoring system to identify the patients and isolate them. The current detection tests are either done by measuring the body temperature or spotting the genetic material of the SARS-CoV-2. These techniques are time-consuming and have a poor detection rate. Radiological images like chest X-rays are also highlighted and help in the diagnosis of COVID-19 patients. Initial studies suggest that COVID-19 patients have abnormalities in their chest X-rays and can be used in the diagnosis of COVID-19. Based on this literature research, various solutions have been proposed utilizing chest X-rays to detect the SARS-CoV-2. Most of these solutions use non-public datasets and complicated structures with fewer accurate results. In our study, we propose a self-learning, interpretable model for real-time detection of COVID-19. This model utilizes a Differential evolution algorithm for feature selection and Support Vector Machine (SVM) as a classifier. The aim is to obtain higher accuracy in detecting COVID-19 infected patients using X-ray images. We have also used the LIME explanation algorithm to explain the predictability of our model and this makes our design very robust and sustainable. This fully transparent, Interpretable, and explainable model can be used in hospitals where there is a huge demand for rapid tests and radiologists are busy.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125952409","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 Novel PID-AW based MPPT technique for SPV system 一种新的基于PID-AW的SPV系统MPPT技术

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633355

Yagyadatta Goswami, K. Rana, Vineet Kumar

{"title":"A Novel PID-AW based MPPT technique for SPV system","authors":"Yagyadatta Goswami, K. Rana, Vineet Kumar","doi":"10.1109/RDCAPE52977.2021.9633355","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633355","url":null,"abstract":"Various of MPPT (maximum power point tracking) techniques have been used to draw the maximum power output from solar photovoltaic (SPV) systems. Two popular classical MPPT techniques e.g. perturb and observe (P&O) and incremental conductance (IC) have applied for best optimized results. Shortcoming of P&O and IC is of oscillations around the maximum power point (MPP). A proportional integral derivative -based dp/dv with Anti-windup (PID-AW) controller is proposed to counter the oscillations around MPP. The proposed technique is based on the classical model of the PID controller that leads to integral saturation. PID controller requires anti-windup (AW) that limit the controller’s integral action to avoid the undesirable windup phenomenon. The performance parameters of the PID-AW controller are ripples in power output, offset and ITAE under standard test conditions (STC). The proposed technique is used to strengthen the capability of classical PID, P&O and IC algorithm. Presented MATLAB®/Simulink® based simulations proves the superiority of PID-AW MPPT technique in comparison to the classical PID, conventional P&O and IC algorithm.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126139085","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

Analysis of Differential Evolution Variants for Optimal Sizing of Autonomous Microgrid 自治微电网最优规模的差分演化变量分析

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633417

R. Ahirwar, P. Paliwal, T. Thakur

引用次数: 0

SPV System Monitoring with Wireless Data Acquisition System Employing LAB VIEW 基于LAB VIEW的无线数据采集系统的SPV系统监控

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633459

R. Viral, D. Asija, T. Bahar, M. Bansal, H. Singh

引用次数: 0

DFIG-based wind turbine using DVR with neural network control for augmentation of Fault ride through 基于dfig的DVR风力发电机组采用神经网络控制增强故障穿越能力

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633350

Soumya Chandravanshi, Shubhrata Gupta

{"title":"DFIG-based wind turbine using DVR with neural network control for augmentation of Fault ride through","authors":"Soumya Chandravanshi, Shubhrata Gupta","doi":"10.1109/RDCAPE52977.2021.9633350","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633350","url":null,"abstract":"The aim of this paper is to present a series grid interface topology for enhancing the fault ride-through (FRT) efficiency of DFIG-based wind turbines. The most commonly used type of generator, the doubly fed induction generator-based wind turbine (DFIG-WT), is highly susceptible to grid voltage disturbances. The topology depicts a WT that is connected to an electric grid and uses DVR. DVR is a series interface method coupled to DFIG-WT, to resolve the voltage issue and conform with WT's FRT capability. Since DVR can provide quick voltage sag mitigation during faults, help ride through capability, and boost grid power quality with integrated wind generators, it is a good fit for grid operations. The control algorithm used defines the solution’s effectiveness in overcoming most grid faults. The use of combined feed forward and feedback control based on neural network control to increase DVR performance is investigated in this research in terms of DC connection voltage balancing, active and reactive power assistance, mitigation of voltage sag and for DFIG WT’s FRT capability when there is a balanced sag and short circuit fault condition. The DVR’s operation, with the ability of this control to compensate for sag and regulate load voltage to the best of its ability is confirmed by findings from a 1.5 MW grid- connected DFIG WT MATLAB simulation.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123044309","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 Computer Vision Based on Vehicle Detection and Counting System Using Sensor Security 基于传感器安全的计算机视觉车辆检测与计数系统

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633454

Prashant Kumar, Shilpi Sharma

引用次数: 3

Modeling and Analysis of a Wide Battery Voltage Range On-Board Electric Vehicle Charger 车载大电池电压范围充电器的建模与分析

2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE) Pub Date : 2021-10-07 DOI: 10.1109/RDCAPE52977.2021.9633693

C. L., Poornima Kulkarni, Channakeshava S M, Rakshith P

{"title":"Modeling and Analysis of a Wide Battery Voltage Range On-Board Electric Vehicle Charger","authors":"C. L., Poornima Kulkarni, Channakeshava S M, Rakshith P","doi":"10.1109/RDCAPE52977.2021.9633693","DOIUrl":"https://doi.org/10.1109/RDCAPE52977.2021.9633693","url":null,"abstract":"The very known fact that vehicles with IC engines require fossil fuels as their oxygen and in turn emit hazardous gases back to the atmosphere being a paramount benefactor forces us to learn more about eco-friendly vehicles to counter the effect of conventional IC engines: Clearly the Electric Vehicles. In On board charger (OBC), a two-stage converter connect the input grid supply and the battery, whose output levels vary from the vehicle architecture. OBCs are typically offered in voltage ranges: 48-72, and 96-150 V. This work focuses on the study and propose a revolutionary common battery charger for automotive applications with a voltage range of 50-400 V and presents a control mechanism for achieving the inconsistent DC link in the power factor correction (PFC) stage. A DC-DC converter is implemented with the design consideration and control algorithm. In addition, the study simulates and presents a two-stage common battery charger with a broad output voltage range. A high-efficiency common charger that can handle a large range of battery voltages is ideal for charging a wide variety of automobiles.","PeriodicalId":424987,"journal":{"name":"2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132564738","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