2021 Innovations in Power and Advanced Computing Technologies (i-PACT)最新文献_第9页

Low Voltage Ride Through Estimation in Microgrid using Deep Neural Network 基于深度神经网络的微电网低压穿越估计

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696782

Pretty Mary Tom, J. Edward

{"title":"Low Voltage Ride Through Estimation in Microgrid using Deep Neural Network","authors":"Pretty Mary Tom, J. Edward","doi":"10.1109/i-PACT52855.2021.9696782","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696782","url":null,"abstract":"One of the vital needs for the distribution systems is the Low-Voltage-Ride-through (LVRT) capability which has to meet the grid code standards. The capability of the distribution system to stay connected even during voltage sag issues is termed as LVRT. A solar-wind-battery based hybrid renewable energy system (HRES) for microgrid applications is considered in this work which enables the use of renewable energy resources effectively, each and every system of HRES is controlled exclusively. The output of PV is boosted with the aid of a LUO converter which is controlled by a closed loop control based on Crow Search Algorithm. The wind energy conversion system utilizes doubly-fed-induction generator (DFIG), the output of which is converted to DC by a PWM rectifier and this is controlled by a PI controller. The battery system uses a bidirectional Buck-Boost converter and the state of charge (SOC) of the battery is monitored by artificial neural network (ANN). The key aspect of this work is the estimation of LVRT and this is accomplished by Signal processing approach based Deep Neural Network (DNN). Notch filter is used for pre-processing by which the noises are removed, Hilbert transform is used for segmentation and SIFT for feature extraction. The trained and test data are classified with DNN classifier from which the LVRT is estimated. The proposed strategy is implemented in MATLAB and the results were attained. The grid current THD is observed as 4.72% and the LVRT is estimated at 2.6sec.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130776804","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

Investigation of Polymer Functionalized QTFs as Potential Gas Sensors Using COMSOL Multiphysics 利用COMSOL多物理场研究聚合物功能化qtf作为潜在气体传感器

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696801

J. J. Imaculate, Adduri Aishwarya, K. G., S. A. Sampson

引用次数: 0

New Approach to Detect Replay Attack for Speaker Verification System Using High Frequency Features and ELM Based BiLSTM 利用高频特征和基于ELM的BiLSTM检测说话人验证系统重放攻击的新方法

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696930

B. K. P., Derick Mathew, R. C, R. M.

引用次数: 1

Design of Single-Tuned Harmonic Passive Filters for DC Electric Railway Traction Power Supply System 直流电力铁路牵引供电系统单调谐谐波无源滤波器设计

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696916

Jing En Chin, R. Tan, Jian Teck Hau

{"title":"Design of Single-Tuned Harmonic Passive Filters for DC Electric Railway Traction Power Supply System","authors":"Jing En Chin, R. Tan, Jian Teck Hau","doi":"10.1109/i-PACT52855.2021.9696916","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696916","url":null,"abstract":"The development of the electric railway system in Malaysia is growing rapidly since 1995. The use of a twelve-pulse rectifier to convert AC to DC supply in TPSS will generate the 11th and 13th harmonic current to the distribution lines. In this paper, a DC urban electric railway system is modeled and its harmonic analysis is discussed. It was found that the harmonic current distortion caused by the TPSS has exceeded the TDD and IHDi limits based on IEEE 519–2014 standard. Thus, the harmonic filter is chosen to mitigate this harmonic problem. The single-tuned harmonic passive filters are designed as they are more cost-effective, simple to design, and have high flexibility. The three-dimensional perspective of impedance, quality factor, and reactive power is analyzed to reduce the harmonic, improve the power factor, and prevent interharmonics at a low cost. The reactive power and quality factor selected based on the three-dimensional perspective are used to determine the capacitance, inductance, and resistance of the single-tuned harmonic passive filter. In addition, the graph of impedance against harmonic order and the bode diagram are plotted to analyze the characteristics of the filters. The results show that the designed filters can reduce the TDD to 1.97% and below. Besides, the 11th IHDi is reduced to 1.94% and below while the 13th IHDi is reduced to 1.97% and below. Therefore, the harmonic current distortion is complying with the IEEE 519-2014 standard limits with the presented single-tuned harmonic passive filters.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"355 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126687898","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 Maximum Power Point Algorithms for Annulling the Effect of Irradiance and Temperature for Standalone Electric Vehicle Charger 独立电动汽车充电器最大功率点算法消除辐照度和温度影响的性能评价

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696741

Kameswara Satya Prakash Oruganti, C. Vaithilingam, Gowthamraj Rajendran, A. Ramasamy, R. Gamboa

{"title":"Performance Evaluation of Maximum Power Point Algorithms for Annulling the Effect of Irradiance and Temperature for Standalone Electric Vehicle Charger","authors":"Kameswara Satya Prakash Oruganti, C. Vaithilingam, Gowthamraj Rajendran, A. Ramasamy, R. Gamboa","doi":"10.1109/i-PACT52855.2021.9696741","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696741","url":null,"abstract":"The study presented in this paper deals with the evaluation of maximum power point tracking (MPPT) algorithms to nullify the effect of varying irradiance and temperature inputs given to the solar photovoltaic (PV) powered standalone electric vehicle (EV) chargers. Three different MPPT algorithms, namely perturb and observe (PO), particle swarm optimization (PSO), and cuckoo search (CA) algorithm, are designed and the settling time to reach steady-state by overcoming the effect of variable irradiance and temperature along with partial shading is analyzed. In this analysis, four different conditions are introduced: constant irradiation and constant temperature, which is an ideal case followed by change in irradiation with constant temperature, constant irradiance with temperature change, and finally, both varying irradiance and temperature. Among the algorithms, the CA algorithm tracks to the maximum power of 19.9kW, 12.8kW, 12.3kW, and 19.42kW respectively for all conditions. The analysis confirmed that the CA algorithm remains superior with 24%, 67%, 79%, and 40% of a maximum power compared to others by achieving the steady state at 0.2 seconds.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125652652","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

Investigations on Finite Element Analysis of Permanent Magnet Synchronous Motor Using ANSYS RMxprt and Maxwell for Electric Vehicle Applications 基于ANSYS RMxprt和Maxwell的电动汽车用永磁同步电机有限元分析研究

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696899

S. N, Allirani S

引用次数: 2

Vibration Analysis of Electrical Machine 电机振动分析“，

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696991

M. Saravanan, G. K. Rajini

引用次数: 0

A Medical Decision Support System to Detect Covid-19 Pneumonia Using CNN 基于CNN的Covid-19肺炎检测医疗决策支持系统

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696553

S. Devi, Amirthavarshini D, Anbukani R S, Harini T K

{"title":"A Medical Decision Support System to Detect Covid-19 Pneumonia Using CNN","authors":"S. Devi, Amirthavarshini D, Anbukani R S, Harini T K","doi":"10.1109/i-PACT52855.2021.9696553","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696553","url":null,"abstract":"Due to the pandemic by the spread of the COVID virus, there has been a mandatory demand to screen patients. Predominantly RTPCR test is used to detect the virus. The RTPCR test is the most commonly used technique to detect COVID - 19 viruses. The test takes a minimum of 12 hours which is time-consuming and might put a patient's life at stake. This detection method for COVID screening is said to have a false detection rate. CT scans have been used for COVID-19 screening and using CT has several challenges especially since their radiation dose is considerably higher than x-rays. Hence, CXRs are a better choice for the initial assessment. Detection of COVID-19 pneumonia is a fine-grained problem as doctors cannot detect it just by looking at the x-ray images. Moreover, the radiologists visit many patients every day and the diagnosis process take significant time, which may increase errors in screening notably. Therefore, a medical decision support system for screening COVID-19 patients is of utmost importance. Our proposed system is a web application that helps to screen COVID-19 patients effectively.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116579923","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

App controlled Robotic Arm with Ultrasonic Sensor and Solar Panels 应用程序控制的机械臂与超声波传感器和太阳能电池板

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9697049

Shreyas V Kuradagi, Kritika Arora, P. Mahalakshmi, S. Balaganapathy, A. Sharmila

{"title":"App controlled Robotic Arm with Ultrasonic Sensor and Solar Panels","authors":"Shreyas V Kuradagi, Kritika Arora, P. Mahalakshmi, S. Balaganapathy, A. Sharmila","doi":"10.1109/i-PACT52855.2021.9697049","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9697049","url":null,"abstract":"Usually movement of goods from one location to another requires human input. This is a tiring job in industries where goods are picked and placed in bulk and the weight of goods to be carried is beyond human potential. Automation industry can play a large role in reducing the human labour and making the process more efficient. In this paper, we put forward a solution to this problem using environment friendly automation technology. We use NodeMCU as the connection between the system and the device through the internet. Our goal is to reduce human interference in hazardous work environment and place with oxygen deficiency through an app controlled 3D printed robotic arm. This arm can be controlled through an android application from anywhere around the globe and can be programmed to perform basic tasks. Furthermore, we are using 3D printing technology so as to eliminate the requirements of production moulds thereby reducing the cost of the arm and making it more feasible. Another objective of this Project was to make the Arm as environmentally safe as possible. Hence, a solar panel will be connected to the Chassis. This ensures that the primary source of power for the Arm is solar energy which is a renewable resource. In addition to this, the plastic which will be used to 3D print the individual parts will be biodegradable and thereby reducing the carbon footprint.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619027","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

Non-Invasive IoT-Based Anaesthesia Control System 无创物联网麻醉控制系统

2021 Innovations in Power and Advanced Computing Technologies (i-PACT) Pub Date : 2021-11-27 DOI: 10.1109/i-PACT52855.2021.9696586

Raghav Khattar, S. Srinivas, A. Sharmila, S. Balaganapathy

{"title":"Non-Invasive IoT-Based Anaesthesia Control System","authors":"Raghav Khattar, S. Srinivas, A. Sharmila, S. Balaganapathy","doi":"10.1109/i-PACT52855.2021.9696586","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696586","url":null,"abstract":"In this paper, we present the design, implementation and the authentication of a novel Internet of Things (IoT) Anaesthesia drug control system for the online continuous and mutinous controlling of Anaesthesia drugs by detecting two vital body parameters, i.e., body temperature and pulse rate. The mentioned complete system comprises a NodeMCU based control system that drives and reads out the signal from the sensors. When the sensors sense readings of heart rate, body temperature and sweat from the patient's body, which are out of the normal range, the system is designed to drive the servomotor and hence control the Anaesthesia drugs injection in the body according to the patient's current state. The IoT network is upheld by a Cloud framework, which permits the specialist to monitor all the patient's information through Ubidots Cloud. The real time readings of the body parameters of the patient and the position of servo motor, hence the status of the Anaesthesia drug delivery is sent to the hospital cloud from where an anesthetist can observe the readings. If abnormal body temperature and heart rate is observed, the concerned personnel are alerted. Anaesthesia delivery is stopped until the state of the patient becomes normal. The approval closes with the check that this framework effectively works for the concurrent observing and controlling of sedation and the system is turned off manually with a switch. This work is focused on automating the process of Anaesthesia delivery and making the process more economical and efficient.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"417 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131526993","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