2022 IEEE International Power and Renewable Energy Conference (IPRECON)最新文献

{"title":"Impedance source Inverter for Water Pumping Application","authors":"Shantanu S. Mundhe, M. Bagewadi, S. Dambhare","doi":"10.1109/IPRECON55716.2022.10059517","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059517","url":null,"abstract":"Impedance source inverter for driving Dynamic model of Induction Motor rated at 3HP for water pumping application is presented in this paper. ZSI can operate in the shoot through condition, unlike typical voltage and current source inverters. The usual PWM technique is changed to either increase or decrease the voltage level available at the inverter's input using the simple boost control mode. Additionally, this system only requires one stage of power conversion, negating the requirement for a second DC-DC converter. Using MATLAB Simulink, the system is validated for the intended parameters.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"88 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":"132723201","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":"Performance Analysis of Various Compensation Topologies in Wireless Power Transfer","authors":"P. Sandhya, G. Nisha","doi":"10.1109/IPRECON55716.2022.10059510","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059510","url":null,"abstract":"Wireless charging is a steady, appropriate and secure method of powering and charging Electric vehicles (EV). Inductive coupling is the most common method of Wireless Power Transfer (WPT). The performance of an inductively coupled energy transfer system for moderate operating distance between the transmitter and receiver coils can be improved by utilizing resonant circuits in both primary and secondary side. Compensation topologies are essential in magnetic resonant coupling WPT system to improve the Power Transfer Efficiency over certain distances and is being promoted for EV charger applications. This paper presents various compensation topologies for wireless power transfer and compare the results from both simulation and validates the same using experimental setup to support the concepts.","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":"133351322","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":"Realtime Authentication using 3D Password","authors":"Supriya Chakraborty, Rahul Kundu, Saikat Paramanik, Annu Kumari, Ushoshee Mukherjee","doi":"10.1109/IPRECON55716.2022.10059508","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059508","url":null,"abstract":"The complex advancement of the computing world makes access to confidential information more vulnerable. The daily activities like banking, official back-office activities and etc. are performed completely online. The sustainable and successful practice for authentication is One Time Password. However, it needs end-user interaction and either internet or phone connection. In this regard, a new alternative scheme with less requirement of resources- 3D password is proposed that uses real-time features of end-users for accessing the confidential data/services. In this work, facial expression, eye-ball movement, and keyboard values are collated and normalize to form the 3D password and subsequently validated. The exhaustive experimental results exhibit around 80","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"78 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":"124470500","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 Hybrid Adaptive Filtering Algorithm based Control Strategy for LVRT Capability Enhancement of Grid-Connected DFIG-WECS","authors":"Arindam Chakraborty, T. Maity","doi":"10.1109/IPRECON55716.2022.10059617","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059617","url":null,"abstract":"This work proposes a novel application of the hybrid adaptive filtering algorithm (HAFA) that combines both continuous mixed p-norm (CMPN) topology and least mean square root of exponential (LMSRE) strategy in order to improve the low voltage ride-through (LVRT) capability of the grid-connected doubly fed induction generator (DFIG) based wind energy conversion system (WECS). This article suggests the CMPN-LMSRE-based HAFA because of its quick convergence, low computing load, and straightforward construction. Through quick convergence velocity, the proposed HAFA adjusts the gains of all proportional-integral (PI) controllers. Under the cascaded arrangement, four PI controllers are used in the rotor side converter (RSC), and four more are used in the grid side converter (GSC). The RSC is regulated by cascaded structure-based PI controllers to limit generator power loss and enhance power production. In contrast, GSC is controlled to preserve the grid side reactive power and dc-link voltage. By contrasting the outcomes of the proposed CMPN-LMSRE-based PI controllers with those of CMPN-based and LMSRE-based PI controllers during severe grid disturbances, the validity of the proposed CMPN-LMSRE-based PI controllers is confirmed. The MATLAB application is used to carry out the LVRT capability.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"118 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":"124685592","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":"Short-term wind speed prediction using Bayesian optimized LSTM network","authors":"Rohit Kumar Sharma, Vishnu Namboodiri V, S. Rathore, Rahul Goyal","doi":"10.1109/IPRECON55716.2022.10059475","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059475","url":null,"abstract":"The wind is a highly complex phenomenon that depends on geographical and environmental conditions. Wind speed depends on many variables such as temperature, pressure, humidity, and other lower atmospheric conditions, and thus mathematical modeling is highly complex and requires high computational power and time for wind speed prediction. Over the years, data-driven models for multi-step ahead time-series predictions have been gaining attention and are still in the evolutionary stage. Improvements in prediction models help the wind generation systems to operate efficiently. The accumulation of errors in the multi-step prediction creates a challenge in formulating novel prediction models. A prediction model based on long short-term memory (LSTM) is proposed in this study for short-term wind prediction up to a prediction horizon of 3 hours ahead. Hyperparameters of the LSTM model are tuned by Bayesian optimization. The wind speed data of two different sites are considered for the evaluation of the proposed model. Further, Support vector Regression based on the Multiple Input Multiple Output (MIMO) strategy is used to compare the performance of the proposed model. Bayesian optimized Long Short Term Memory (BO-LSTM) model shows nearly 30% and 16 % improvement in the MSE and RMSE scores, respectively, over the SVR model.","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":"121774334","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 Development of a Speech Recognition System for Autistic People","authors":"Joshmi J M, V. R. Jisha","doi":"10.1109/IPRECON55716.2022.10059559","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059559","url":null,"abstract":"Autism spectrum disorder (ASD) is one of the fast growing neurodevelopmental disorders across the world. By suitable interventions, their life can be improved a lot. The severity of disease and level of intervention required is different for different persons. Speech given by the ASD people are distorted ones. In this project a distorted Malayalam speech recognition system is developed using Mel-frequency cepstral coefficients(MFCCs) and its derivative features of speech. A Deep neural network is used for recognizing distorted speech. Based on the relevance of words in the life of an autistic patient, level of similarities and difficulties in pronunciation, a distorted Malayalam speech dataset is created. The distorted Malayalam speech recognition system got a Word error rate of 2.8%.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"67 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":"127869845","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":"Recognition of Vowels, Consonants and Compound Character Sequences from Ancient Tamil Stone Inscriptions using Deep Neural Networks","authors":"P. Uma Maheswari, A. Aswathy, S. Ezhilarasi, M. Revathi Priya","doi":"10.1109/IPRECON55716.2022.10059489","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059489","url":null,"abstract":"Tamil Stone Inscriptions are ancient handwritten documents engraved on stone that contain a veritable mine of information and traditional knowledge. With reference to the authenticated sources, around 65% Indian inscriptions were found in Tamil language. Amidst many inscriptions character recognition studies that have been published for different languages, no significant effort has been taken for Tamil language. There are few high performances online Handwritten Tamil OCRs for modern Tamil alphabets, but they perform with less than 20% accuracy while dealing stone inscription characters since the alphabets are of ancient form and also the difference between background and foreground is very meager in stone inscriptions. Most of the existing character recognition studies for Handwritten Tamil scripts have relied upon the widely used Hidden Markov Model (HMM), in spite of its familiar shortcomings and few reported in ANN. Though character recognition from the images of inscribed documents is challenging because of the complex character structure of the Tamil language scripts and other artifacts like aging and degradation, modern techniques needs to be developed to digitize such inscriptions and preserves them as electronic documents. In this paper, a novel approach is proposed for recognizing the inscription characters from the ancient Tamil stone inscriptions based on two recently developed models of Convolutional Neural Networks and Recurrent Neural Network (RNN). Camera captured stone inscriptions script images are taken as input and enhanced for clarity through various image enhancement techniques like filtering, luminous, erosion, dilation and blurring. Project profile based character segmentation is done for extracting individual characters out of script image. Over segmentation reduction is done for eliminating touching and broken characters. The character recognition is done in twofold. (i) Recognition of single characters (vowels and consonants) using Convolutional Neural Network (ii) Recognition of compound characters using Recurrent Neural Networks-BLSTM model. A meticulous test on large datasets has been performed to evaluate the performance of the proposed approach. Experimental results show that the proposed CNN based system achieved training accuracy of 88% and validation accuracy of 94% is obtained (Included RNN accuracy). The system performance is evaluated on various test cases in each phase and the limitations have been identified.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"48 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":"116684660","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":"Quarantined-subject monitoring and indoor positioning with anti-absconding artificial intelligence (Project BANTAY)","authors":"Derwin P. Ara, Aljohn Ric C. Marcaida, Arnold Ceigfred E. Seangoy, Angelino A. Pimentel","doi":"10.1109/IPRECON55716.2022.10059471","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059471","url":null,"abstract":"Quarantine is the process of restricting and separating the movement of people who have been exposed to a contagious disease to avoid proliferation. Quarantined subjects were monitored manually, and patients tended to abscond or “run away.” In the Philippines, there was a lack of research and the absence of similar technology commercially available related to this matter. Project Bantay integrated Artificial Intelligence of Things (AIoT), indoor positioning systems, and wearable technology to alleviate the shortage of personnel, long-term savings on workforce utilization in the government, and predict absconding or “run-away” potentially infectious individuals in our current and future quarantine facilities. Also, it included information system development for monitoring quarantined subjects' heart rates and temperatures that would eventually help the government combat and prepare for a similar unexpected pandemic. The prototype would start by turning on the device after being placed on the quarantined subject. The device must be linked to the router, and the sensors must then be calibrated. The web interface should receive and be able to see data readings, including temperature, heart rate, the location of the subject being quarantined, and the removal of the device via an IR reading. The temperature, heart rate sensor, and indoor positioning all measured above a p-value of 0.05, which accepted the null hypothesis, confirming that the actual and commercial product versus Project Bantay's temperature, heart rate, and indoor positioning accuracy was statistically the same. The anti-absconding tendencies of the hypothetical dataset using machine learning data analytics showed that among four inherently multioutput machine learning regression algorithms, the Decision Tree Regression Algorithm could output a much better result in determining the tendencies of a subject to abscond from the quarantine facility.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"27 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":"132750931","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 Novel Strategy for Ramp Rate Control of Wind Farms","authors":"J. Karunadasa, B. H. A. V. L. Gunarathne, Aunshi Senanayake, H. S. Perera, Dilmi Kaunarathne, Amasa Ekanayake","doi":"10.1109/IPRECON55716.2022.10059536","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059536","url":null,"abstract":"Interconnection of wind power plants to the grid has inherent adverse effects on power system stability due to the intermittent nature of availability. The injected power comprises of ramps with fast rising and falling that are detrimental to small power systems owing to their smaller inertia. This paper proposes a power electronic based ramp controller that can successfully arrest fast ramps having rates outside set limits unique to the power system they operate in. The system consists of a battery energy storage, a bidirectional DC-DC converter, three-phase Voltage Source Inverter (VSI) and a power-frequency three-phase transformer. Both converters are operated with current control Pulse Width Modulation (PWM) for fast response. The system is simulated with real time data obtained from an existing wind farm in Mannar, Sri Lanka, and the results show successful arresting of fast ramps with minimum of battery storage. Design details, hardware system, control philosophy, control algorithm, operation and simulation are presented. Simulation results are presented and discussed.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"163 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":"131825600","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":"Prediction of Electric Vehicle Charging Load with Uncertainty using Probabilistic Methodology","authors":"J. Das, Venugopalan K, Johnson Daniel","doi":"10.1109/IPRECON55716.2022.10059502","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059502","url":null,"abstract":"The development of Electric Vehicle technology in a region will bring forward new challenges in the reliable operation of the distribution network. Accuracy and reliability in EV load forecasting can effectively comprehend EV load on a large scale. Compared to other load forecasting techniques, there are very few published literature with different EV load prediction. This paper presents a probabilistic approach to predict localized EV load subject to operational and social constraints. The power system under consideration is the urban location of Kochi, Kerala. The uncertainty associated with the input values and the generated EV load has been quantified and presented graphically. This method can be used to predict the variability in the output owing to the variable nature of the input variables used for analysis.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"8 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":"116800401","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}