2021 3rd International Conference on Electrical Engineering (EECon)最新文献

{"title":"Electric Regenerative Hybrid System For A Traditional Auto-Rickshaw","authors":"H. Bisht, G. Udupa","doi":"10.1109/EECon52960.2021.9580958","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580958","url":null,"abstract":"In today's world, traditional auto-rickshaws are one of the most commonly used modes of public transportation, and they also contribute significantly to air pollution. The fact that they use an internal combustion (i/c) engine is one of the key reasons for this. For generating power to run the vehicle, all internal combustion engines use petrol/diesel fuel. Fuel efficiency can be enhanced via engine right-sizing, load leveling, and regenerative braking if conventional vehicles are converted to hybrid electric vehicles (HEV s) by adding an electric power train to the conventional power train. This study aims is to design a cost-effective electric regenerative hybrid system for traditional auto rickshaw that does not require major structural changes. The electric regenerative hybrid system would be capable of operating the auto rickshaw in two modes: electric mode and i/c engine mode. The brushless DC electric motor (BLDC motor) in the auto rickshaw will be powered by a Lithium-ion battery in electric mode. In engine mode, the Auto Rickshaw will operate on an internal combustion engine while also generating electricity to charge the battery. The simulation was run on the Matlab/Simulink platform to look at battery and vehicle output while using a battery pack.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116637233","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":"Application of Machine Learning Algorithms for Predicting Vegetation Related Outages in Power Distribution Systems","authors":"A. U. Melagoda, T. D. L. P. Karunarathna, G. Nisaharan, P. A. G. M. Amarasinghe, S. Abeygunawardane","doi":"10.1109/EECon52960.2021.9580947","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580947","url":null,"abstract":"A large number of faults in power distribution systems is caused due to vegetation growing near power lines. Therefore, to maintain high system reliability, outages should be prevented as much as possible before they occur. This paper proposes a data-driven approach to predict vegetation-related outages in power distribution systems. Three Machine Learning (ML) methods i.e., the Neural Network (NN), Decision Tree Classifier (DTC) and Random Forest Classifier (RFC) are used to predict the vegetation-related outages. Historical outage data and weather data are used as the inputs to the ML methods. Then, the ML models are trained and used to predict the probability of occurrence of an outage in the next fourteen days. A risk map is generated by incorporating the geographical location of distribution feeders based on the predicted outage probabilities. Moreover, a real-time outage prediction platform is developed to provide the utilities a better insight into vegetation-related outages. The accuracy of predicting failures is found to be 72.57%, 84.06% and 93.79% for NN, DTC and RFC, respectively.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125394408","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":"Development of An Effective 3D Mapping Technique for Heritage Structures","authors":"Mahinda Mahinda, H.P.A.J. Udhyani, P. Alahakoon, W. Kumara, M. Hinas, J. Thamboo","doi":"10.1109/EECon52960.2021.9580945","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580945","url":null,"abstract":"Historical buildings and structures are important for a country and the world since they are the only living evidence of the engineering technology of mankind. Therefore, it is of utmost importance to protect and preserve them to safeguard the identity of the particular civilizations, retain their cultural significance, and ensure their accessibility to present and future generations. Since many historic structures are in a partially dilapidated state, to prevent further deterioration, it is essential to record their present status in structural engineering and building material aspects. This is typically a costly, time-demanding, unsafe, and challenging task. As a solution, 3D geomatics technologies, and UAV systems are now being used in the world to document existing structures, especially in difficult- to-access areas. This is also usually a high-cost task. In this research, an effective technique for generating structural information of an existing building or a similar structure to preserve the details or for duplicating as a true replica is developed. The developed solution is a remote-controllable custom-made drone system with a GoPro Hero 7 camera. Different types of structures were selected, and after running several test cases, the most suitable image-taking technique and the processing platform were identified. The effecting factors to the accuracy such as the number of images taken, and overlap percentage of images were identified and their optimum contribution detected. As a result, the proposed solution abled to yield a dimensional accuracy of 98.9 %. This study concludes that the developed effective solution is a valid alternative to high-cost 3D mapping techniques.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"235 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132467657","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":"Validation of Meteonorm 8 for energy estimation of Solar Power Plants in Sri Lanka, Using PVsyst Software","authors":"Geekiyanage Viduruwan, D. K. A. Induranga","doi":"10.1109/EECon52960.2021.9580960","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580960","url":null,"abstract":"The study presents a validation of using MT 8 (Meteonorm 8) international weather data provider's data for energy forecasting of photovoltaic energy. The study has used PVsyst software for a 1 MW DC photovoltaic solar power station in the Anuradhapura region, Sri Lanka, as a case study. A custom-built weather station situated at the solar power station premises has gathered weather data such as global horizontal irradiance (GHI), ambient temperature, module temperature, wind speed, wind direction, and rain data for six months. These weather station data are used as the inputs in PV syst software for the PV energy forecasting and validating the model. Also, the study has used weather data of six months of MT8. According to the validated model, two different energy yield forecasting was done for both types of weather data, and a comparison is made with the actual PV energy generation of the solar power station with the simulation done using MT8 weather data. The simulation-based on MT8 shows a monthly generation error from −6.0% to 14.2% compared to the actual energy generation of the power station.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130146229","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":"SOC Level Estimation of Lithium-ion Battery Based on Time Series Forecasting Algorithms for Battery Management System","authors":"J. Jeewandara, Karunadasa Jp, K. Hemapala","doi":"10.1109/EECon52960.2021.9580869","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580869","url":null,"abstract":"To fulfill a reliable battery management system, a precise state of charge (SOC) estimation method for a battery energy storage system should be developed. This study makes two contributions to the battery management system. First, a combined electro-thermal battery model is proposed. To identify the electrical and thermal battery parameters, constant current -constant voltage (CC-CV) charge, constant current (CC) discharge, and pulse discharge tests should be performed on the lithium-ion battery cells and each of the above experiments, battery SOC level should be estimated precisely. The second study of this research is the development of the SOC level estimation method by using time series forecasting algorithms. In this study, six kinds of models are used in realtime, and each of the models is evaluated with the performance indices and the computational time, and finally, forecast diagrams are graphically represented for each of the experiments.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121218804","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":"Influence of Water and Powder Contaminants on Dielectric Strength of Transformer Oil","authors":"M.S.M. Abeyrathna, M. Karunaratne, K.P.V. Kahingala, R. Samarasinghe, J. R. Lucas","doi":"10.1109/EECon52960.2021.9580950","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580950","url":null,"abstract":"Transformer failure statistics reveal that most of the transformer failures are due to insulation failures, where a considerable fraction of that percentage is caused by oil contamination. In this paper, the influence of water and powder contaminants on the electrical performance of transformer oil is investigated. The powder contaminant used is the fibrous dust obtained from the pressboard insulation of high voltage transformers. In a transformer, pressboard powder can easily contaminate the oil during the operation due to electrical and thermal stresses. Levels of powder contaminants selected for the research are 20mg, 40mg, and 80mg and added water levels were 1 ppm, 2 ppm, 3 ppm, and 4 ppm for an initial water level of 26ppm. Effect of contamination on AC breakdown voltage and visual streamer inception voltage of transformer oil was measured, and the results were statistically analyzed. This consists of Pearson correlation analysis, one-way multivariate analysis of variance and one-way analysis of variance. The correlation between the measured parameters of powder and water contamination levels was calculated with the Pearson correlation coefficient. The effect size which is a parameter that indicates how much the variance of the response (dependent) variable is described by the predictor(independent) variable was calculated using one-way multivariate analysis of variance and one-way analysis of variance methods. The results obtained from one-way multivariate analysis of variance showed an 86.1 % effect size for the case of powder contamination. For the same case, with univariate one-way analysis of variance results, 88.8% and 96.2% effect sizes were calculated for breakdown voltage strength and visual streamer inception voltage respectively. For the water contamination case, one-way analysis of variance statistical method was utilized, and the effect size was calculated as 99.34% for the response variable (average of breakdown voltage and visual streamer inception voltage). Results of both cases made it evident that there is a significant effect of contamination on the dielectric strength of transformer oil. With a higher number of experimental results, the accuracy of the statistical analysis could be improved and with an increased number of response variables the analysis can be extended.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117163024","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":"Sample Entropy Analysis of Cardiac and Respiratory Responses during Four Limbs Exercise","authors":"K. Bandara, R. Wijesiriwardana","doi":"10.1109/EECon52960.2021.9580954","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580954","url":null,"abstract":"This study was aimed to elucidate the effects of exercise on sample entropy of beat-to-beat (RR) intervals (SampEn-RR) and breath-to-breath (BB) intervals (SampEn-BB). A four limbs-based exercise equipment was used for the experiment and a wireless wearable respiration and heart rate monitoring system was used for recording the RR and BB intervals during lower limbs (LL), upper limbs (UL), and all four limbs (AL) exercises. A significant increment in both SampEn-RR and S ampEn-BB was observed during exercises when compared with pre and post-exercise states. Further comparisons of statistical parameters during AL and UL exercises showed the highest and the lowest mean of S ampEn values. Moreover, the comparison between exercise duration and the linear trend line gradients obtained from both S ampEn-RR and SampEn-BB during exercise revealed an inversely proportional relationship between them. Thereby, this work supports analysis of trend line gradients of SampEn would be helpful to determine the fatigue level during exercise.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"31 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123993118","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":"Development of a Cost-effective Half-Duplex Power Line Communication System for Low Bandwidth Home Automation Applications","authors":"W. Wanninayake, B. Kumarasiri, M. N. Dharmaweera, B. Pilanawithana","doi":"10.1109/EECon52960.2021.9580877","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580877","url":null,"abstract":"This paper proposes a novel, cost-effective power line communication (PLC) system for low bandwidth home automation applications such as switching, dimming control, and periodic status reporting. The proposed system consists of a main controller node and several appliance nodes. Electrical appliances to be automated are connected through the appliance nodes to the power outlets (i.e., sockets). The main controller node, which is plugged into one of the power sockets, has an active internet connection. The home network with a star topology, where appliances are centred around the main controller node, communicates over the powerline. The proposed solution, which is a half-duplex communication system, controls appliances by sending commands from the main controller and retrieve sensor data from the appliances. The developed system provides a low-cost alternative to available solutions in the market. This paper highlights novel electronic engineering techniques used to maximize cost-effectiveness without compromising the overall quality of the proposed system.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"177 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116215987","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":"Workshop on ‘Soft Robotics for Biomedical Applications’: Facial Expression Rendering for High Fidelity Robotic Patients","authors":"T. Lalitharatne","doi":"10.1109/eecon52960.2021.9580874","DOIUrl":"https://doi.org/10.1109/eecon52960.2021.9580874","url":null,"abstract":"","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122589224","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":"Techno-Economic Assessment of Using Utility Scale Battery Storage to Facilitate Variable Renewable Energy (VRE) Integration in Sri Lanka","authors":"K. H. A. Kaushalya, K. Hemapala","doi":"10.1109/EECon52960.2021.9580872","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580872","url":null,"abstract":"Sri Lanka has envisaged an ambitious target for renewable capacity integration to the power system as indicated through favorable government policy targets and long-term generation expansion planning studies carried out by Ceylon Electricity Board. These renewable capacity additions are mainly comprised of wind and solar, both of which are variable renewable sources (VRE) which affect the operation and stability of the power system due to the inherent intermittency and variability of the sources. This rapid increase of VRE integration to the power system, calls for a more flexible power system and battery storage systems are emerging as one of the potential solutions to increase system flexibility. A technical and economic evaluation was carried out through the study on the use of battery storage compared to thermal generators in providing operational reserves to the system and reducing VRE curtailments which in turn support VRE integration. For technical analysis, dispatch simulation using Stochastic Dual Dynamic Programming (SDDP) was used and a cost benefit analysis based on the dispatch simulation results for 2022–2031 horizon were used for economic evaluation. It was observed that compared to thermal generators, battery storage contributed favorably in reducing VRE curtailments and providing operational reserves.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126601082","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}