{"title":"DC-Linked Feedback Compensated Shunt Active Harmonic Filter for Traction Power Supply Substation Medium Voltage Line","authors":"Jian Teck Hau, R. Tan, Jing En Chin","doi":"10.1109/i-PACT52855.2021.9696563","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696563","url":null,"abstract":"A modern DC electric railway traction power supply system consists of a twelve-pulse rectifier which will cause 11th and 13th order harmonics to be injected into the power system. A shunt active harmonic filter (SAHF) is proposed to mitigate the harmonics at medium voltage (MV) line. SAHF control strategy usually consists of three core elements which include reference current generation, DC-link feedback control, and current control and gate signal generation. This paper proposed a distinct time domain-based control strategy with DC-linked feedback reference current compensation method which has a simple topology, low mathematical complexity, and fast response time. Detailed performance analysis of SAHF is carried out in the parameter selection process whereby the effects of each parameter are discussed. The implementation of SAHF in traction power supply substation (TPSS) is simulated using MATLAB/Simulink. The harmonic analysis result has shown the effectiveness of the proposed SAHF in reducing THDv, TDDi, 11th order IHDi, and 13th order IHDi of TPSS MV line to levels lower than 4.61%, 1.03%, 0.96%, and 0.67% respectively which are compliant with the limits recommended by IEEE std. 519–2014.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"72 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":"134103389","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}
{"title":"Analysis of Multi-Machine Power System with PSS using Participation Factor Method","authors":"Jarapala Siva Naik, R. Thirumalaivasan, M. Janaki","doi":"10.1109/i-PACT52855.2021.9696864","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696864","url":null,"abstract":"The power system stabilizer (PSS) plays a key role in multi-machine power systems. The main objective of PSS is to provide damping of the rotor oscillations, whenever there is a transient disturbance. In this paper, eigenvalues and participation factor are used to identify the oscillatory modes in a multi-machine system without and with PSS. The transient simulation is carried out to validate the steady state model. The proposed methods runs for N-number of buses and M-number of generators. The study system comprises a 4-generators and 10-buses two area multi-machine system. The results obtained on the study system show that oscillatory response of speed deviation and rotor angle is well damped with PSS.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"33 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":"121747879","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}
Anik Dutta, Md. Nowroz Farhan Noor, Md.Raihan Ali Khan, Shubhra Kanti Sinha Shuva, Md. Abdur Razzak
{"title":"Identification and Tracking of Underground Cable Fault Using GSM and GPS Modules","authors":"Anik Dutta, Md. Nowroz Farhan Noor, Md.Raihan Ali Khan, Shubhra Kanti Sinha Shuva, Md. Abdur Razzak","doi":"10.1109/i-PACT52855.2021.9696581","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696581","url":null,"abstract":"Underground cables are used for electrical power transmission from the power system grid to substations and consumers especially in city and densely populated areas such as railway stations, hospitals, airports etc. In underground cable systems, cables are positioned under the surface. Generally, the process of detecting the underground cable fault is complex, time-consuming, and costly. When any fault occurs, identifying, and tracking the source of the fault is complicated because the entire line is to be drilled to inspect the cable line fault. This paper presents a microcontroller-based underground cable fault identification and tracking system using GSM and GPS techniques. The purpose of this research is to develop a microcontroller-based smart and time-convenient design for the detection of the underground cable fault. This research aims to find out the distance of cable fault from the control room of the base station in kilometer using GSM and GPS service providing an alert of the exact fault location for repairing the cable fault.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"112 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":"122825450","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}
V. Indragandhi, A. Chitra, Raunak Singhania, Divyansh Garg, V. Subramaniyaswamy
{"title":"Bimodal Insulin Delivery System Using Internet of Things and Machine Learning Approach","authors":"V. Indragandhi, A. Chitra, Raunak Singhania, Divyansh Garg, V. Subramaniyaswamy","doi":"10.1109/i-PACT52855.2021.9696619","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696619","url":null,"abstract":"Internet of things (IOT) and Machine Learning (ML) techniques have achieved quite high standards with the availability of high-speed GPU's and wide range of applications in real world. Both of them are shaping the way we live, travel, work and communicate. Medication in India is the core power of the Economy but, it's quite expensive. This paper aims at an attempt to deploy these IOT and ML techniques for Automating Insulin Drug Delivery (AIDD) for comatose patients. The main focus is to replace the existing Insulin Delivery Systems which are costly and limited to only certain hospitals, with a cost friendly and smart system which incorporates IOT and Machine learning with good accuracy and a very affordable price. In this the rotor system is designed and presented which is employed to deliver the required amount of insulin. The rotation of the designed rotor system is controlled by a motor. In order to make the system more flexible, bimodal operation is developed using IOT which enables either manual or automatic mode. To fix the optimal ML technique, the various machine models such as Linear Regression, Decision Tree and Random Forest is employed to predict insulin dose amount that must be given to the patient by examining his/her condition. This method makes it possible to treat a diabetic patient remotely, without the need of a physical person.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"29 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":"124177620","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}
{"title":"Design of Outer Voltage Control Loop using Type-2 Fuzzy Logic Controller for TCSC","authors":"M. Das, Pritam Patel, S. Swain, Ritesh Dash","doi":"10.1109/i-PACT52855.2021.9697010","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9697010","url":null,"abstract":"This research paper investigate the use of fuzzy logic based controller for outer voltage control loop have been presented. Non-linear controller such as the Hysteresis controller and linear PI controller was also used to realize the controller for a voltage source converter. From both the controller it is found that they require detail mathematical models for their Implementation. Implementation of a mathematical model sometimes does not give accurate result and it may also happen that the model does not reflect the real-time system features. So these days Fuzzy logic controllers are being implemented in the electronics field for the Implementation of controllers. Here type-2 fuzzy logic controller has been designed for outer voltage control loop using Matlab Simulink software.","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":"130008560","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}
{"title":"A Solar and Wind: Hybrid Energy System Connected to the Grid Reduces Voltage Fluctuation and Improve Reliability","authors":"P. Dhal","doi":"10.1109/i-PACT52855.2021.9697020","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9697020","url":null,"abstract":"A practical energy management method for a small-scale hybrid wind-solar-battery power system is proposed in this research. To evaluate the performance of a hybrid micro grid, dc-dc converter and controllers were built together with wind and solar power conversion and energy storage technologies. The hybrid power system is configured to run at unity power factor, and the Maximum Power Point Tracking (MPPT) methodology is used to control the output voltage as the weather shifts. An energy management system maintains the power balance for fluctuations in renewable energy sources power generation as well as load demand fluctuations. However, this proposed system improved reliability; reduce voltage fluctuations due to various irradiations and wind speed combined with the main grid. The battery with a DC-DC converter is incorporated into the main power system by a 3– - inverter and also the battery is used to store the energy in normal condition and deliver the energy when not available from the sources.","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":"130011319","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}
Chuanhui Lau, Hungyang Leong, Joonhuang Chuah, N. Kamarudin
{"title":"An Eye Fatigue Recognition System using YOLOv2","authors":"Chuanhui Lau, Hungyang Leong, Joonhuang Chuah, N. Kamarudin","doi":"10.1109/i-PACT52855.2021.9696747","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696747","url":null,"abstract":"The rapid increase in global population significantly drives the hiking demand for transportations. This trend further leads to the increase in the number of road traffic accidents globally. Based on a study, fatigue due to prolonged driving is one of the leading causes for traffic accidents. With a customized Graphical User Interface (GUI), this work aims to develop an eye fatigue recognition system using YOLOv2 model. The proposed method used PERCLOS and blink rate parameters as indicators to determine the alertness of the user. This proposed method achieved a real-time average accuracy of 99.23% in normal lighting conditions and 98.57% in low light conditions.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"17 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":"130097751","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}
{"title":"Design and Analysis of a 48V On-board Fast Charging System for Electric Vehicles","authors":"Afreen Maliat, M. A. Al Mahmud, Md. Abdur Razzak","doi":"10.1109/i-PACT52855.2021.9697037","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9697037","url":null,"abstract":"Global warming, pollution, and other environmental issues are becoming more and more acute. The environmental effects caused by transportation sectors are intensifying because of rising traffic congestion around the world. Electric vehicles (EVs) are becoming more popular around the world. EVs are a promising technology for dramatically reducing the environmental stress of automotive transportation. EVs have the potential to reduce the use of fossil fuels, but obstacles such as limited range, charging time, and a shortage of charging stations have slowed their adoption. This paper presents a solution to the slow charging of electric vehicles by designing a 48V onboard fast charging system for EV that operates in the Constant Current-Constant Voltage (CC/CV) mode and charges the battery in around an hour. The designed charger may be plugged into any single-phase AC socket to charge the 48V lithium-ion battery used in the EVs. A full-bridge phase-shifted (FBPS) dc-dc converter for galvanic isolation and dc-dc conversion. The FBPS DC-DC converter is designed, and the model is then built, tested and investigated in MATLAB/Simulink. The simulation results confirmed that the battery is being charged in CC-CV mode and the charger is able to charge the battery in one hour if 100 Ampere current is delivered to the 100Ah battery for one hour.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"6 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":"128240098","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}
{"title":"A Report on Voice Recognition System: Techniques, Methodologies and Challenges using Deep Neural Network","authors":"P. Deepa, Rashmita Khilar","doi":"10.1109/i-PACT52855.2021.9697005","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9697005","url":null,"abstract":"Voice recognition has been advancing at a fast rate. Many cases involving edited audio clips and incorrect identity claims are reported on a daily basis. Due to the growing importance of information processing technology, it becomes easier and easier to identify people by their voices. Voice recognition consists of detecting a user's identity based on characteristics of their voice. It is a widely applied form of biometric recognition in the world, particularly in fields where security has a high priority. The deep neural networks were used as feature extractor alongside classifiers, but they haven't been completely trained due to the success of deep learning. While such methods are extremely efficient, they still require manual attention. Especially in DNN, interactivity between people and machines is essential. This is where the art of voice recognition comes from. In addition to their application in speech recognition, deep neural networks have demonstrated their potential to be used for voice recognition as well. They provide an efficient implementation of complex nonlinear models for learning unique and invariant data structures. The main contribution of this work is to provide a brief overview of the field of deep neural networks and voice recognition, describing its system, underlying approaches, and challenges.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"137 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":"128529428","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}
{"title":"Maximum Power Extraction using Ant Lion Optimization Technique for Photovoltaic System","authors":"B. M, S. Sahoo, S. Sukchai","doi":"10.1109/i-PACT52855.2021.9696943","DOIUrl":"https://doi.org/10.1109/i-PACT52855.2021.9696943","url":null,"abstract":"A Novel Maximum Power Point Tracking (MPPT) Algorithms has been designed for the Photovoltaic System (PV) to overcome the effect of partial shading condition using Ant Lion Optimizer (ALO) algorithm. The conventional Algorithms has been failed to track the peak point for variable atmospheric conditions. The novelty of this work is the Ant Lion Optimizer (ALO) algorithm has been proposed for MPPT which has the ability to perform under variable atmospheric conditions. The detailed simulation and experimental work has been carried out on ALO algorithm. To validate its performance and to show the supremacy of this method it has been further compared with conventional Perturb and Observe (P&O) and Incremental Conductance (IC) Algorithms. The simulation study has been carried out for various steady state and dynamic operating conditions. The boost converter experimental setup has been developed in the laboratory to test the feasibility of the system. dSPACE DS1103 control interface is for Real Time Implementation (RTI). The experimental results have shown very good agreement with the simulation results.","PeriodicalId":335956,"journal":{"name":"2021 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"57 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":"124782506","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}