Lasindu Bopearachchi, Hashan Supun Liyanage, Virantha Haridu Dasanayake, D. P. Chandima, S. Bolonne
{"title":"Efficiency Enhanced Three-Port DC-DC Converter for MPPT Controlled Solar-Battery Systems","authors":"Lasindu Bopearachchi, Hashan Supun Liyanage, Virantha Haridu Dasanayake, D. P. Chandima, S. Bolonne","doi":"10.1109/EECon52960.2021.9580865","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580865","url":null,"abstract":"In this paper, efficiency enhanced a three-port DC-DC converter for MPPT controlled Solar-Battery systems is proposed which consists of two separate power flow paths from solar panel to load and to the battery bank. In this converter, an integration of inductors is applied to maximize the gain of voltage and to reduce the effect of leakage inductance. Two active clamp circuits are applied for providing soft switching. Also, battery management system is designed so as to obtain minimum ripple current in charging/discharging cycles, the proposed system enhances battery efficiency and lifetime. Various converter operation modes as well as controller operation, necessary improvements are discussed in this paper. These control algorithms and control techniques have been implemented and tested in the simulated environment for a load of 100W/100V.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"176 11 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":"134294692","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}
Nayanathara Widyalankara, Nilanga P Jayawickrama, Dilshan Ambegoda, V. Logeeshan
{"title":"Optimum wind turbine design and analysis to harvest wind energy from fast-moving vehicles on highways","authors":"Nayanathara Widyalankara, Nilanga P Jayawickrama, Dilshan Ambegoda, V. Logeeshan","doi":"10.1109/EECon52960.2021.9580948","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580948","url":null,"abstract":"Today, Renewable energy technology has become one of the most concerning technologies in the modern world. Among them, the wind is considered one of the fastest-growing green energy resources and is only hindered due to the fluctuations of wind regimes. When the vehicles are moving at high speed on highways, it induces a large wind force near the roads, and this unused and wasted energy can be directed to harvest electrical power using wind turbines. The wind, generated as a result of the rapid movement of vehicles, can be considered to have a continuing speed. This helps in addressing the issues brought up by fluctuations in the wind, which is the main setback on the use of wind power generation. This paper presents a design of an optimized wind turbine standalone system that can extract wind power from vehicles moving on highways, and the proposed system was implemented and simulated in MATLAB Simulink. Results are analyzed to verify the proposed concept.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"1 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":"130642752","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}
N. C. D. Silva, W. Withanage, V. K. Jayasundara, S. P. Randombage, P. M. T. S. A. Jayasiri, W. M. K. G. Perera, M. D. De Silva, R. Wijesiriwardhana
{"title":"An Experimental Study on Smart Electric Bicycle with Weight Minimized Power Pack","authors":"N. C. D. Silva, W. Withanage, V. K. Jayasundara, S. P. Randombage, P. M. T. S. A. Jayasiri, W. M. K. G. Perera, M. D. De Silva, R. Wijesiriwardhana","doi":"10.1109/EECon52960.2021.9580942","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580942","url":null,"abstract":"Energy-efficient transport systems orientation including the uptake of electric vehicles provides socio-economic opportunities that generate multiplier effects for trade, employment, good quality of life, and improved health. Among many, electric bicycle (e-bicycle) is attracting significant attention worldwide due to its lightweight, compact design, and cheaper price than other electric vehicles. Many smart e-bicycle solutions have been advocated as important supportive tools to embrace e-bicycles but failed to continue the paradigm due to the weight of the bicycle has increased. This paper proposes a novel approach to design an electrically assisted bicycle prototype including hardware, power pack, and bicycle computer to control the motor using physiological information and the bicycle sensor data. The study presents the experimental results regarding fatigue detection based on heart rate, heart rate variability, bike speed data, cadence, and terrain data information for assisting the rider. Accordingly, the novelty of this study is to optimize the weight of the e-bicycle and implement a bicycle computer system to control the motor.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"29 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":"133823520","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}
R. Abayasiri, A. Jayasekara, R. Gopura, K. Kiguchi
{"title":"EMG Based Controller for a Wheelchair with Robotic Manipulator","authors":"R. Abayasiri, A. Jayasekara, R. Gopura, K. Kiguchi","doi":"10.1109/EECon52960.2021.9580949","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580949","url":null,"abstract":"There is an increasing demand for the wheelchairs which could make decisions by acquiring information from the surrounding, for the wheelchair users all around the globe. Such type of wheelchairs is called intelligent wheelchairs and are using different types of high level controlling algorithms to control itself. Using EMG based controller for high level decision making has become a reliable and efficient method due to the high signal to noise ratio of EMG signals and the ability of them to bring out the users' intentions successfully. Usually, those EMG based controllers are incorporated with another modality to achieve the desired tasks through the intelligent wheelchairs. An EMG based high level controller which can be stand-alone without the aid of other modalities is rarely found in the literature. Even the available such type of controllers is mostly designed for the users with full/partial upper limb functions. However, such types of controllers cannot be used by the wheelchair users with trans-humeral amputation/ trans- radial amputation due to the absence of the required muscles. This paper proposes an EMG based high level controlling algorithm for the navigation input generation and to detect the intention for using a robot manipulator for reach to grasp task, for an intelligent wheelchair with a robotic manipulator. The proposed controller has been designed for wheelchair users with trans- humeral amputation/ trans- radial amputation. But it can be used by any type of wheelchair user with neck functions and full/ partial functions of both upper limbs up to the humerus. Experiments have been done with the healthy human subjects to validate the efficacy of the proposed high level controller.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"1 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":"131130459","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}
D.G. Hettiarachchi, G.M.A. Jaward, V.P.V. Tharaka, J. Jeewandara, K.T.M.U. Hemapala
{"title":"IoT Based Building Energy Management System","authors":"D.G. Hettiarachchi, G.M.A. Jaward, V.P.V. Tharaka, J. Jeewandara, K.T.M.U. Hemapala","doi":"10.1109/EECon52960.2021.9580866","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580866","url":null,"abstract":"The ever-growing demand for energy and uncertainty of supply lead towards a major crisis in the energy sector, especially in building energy management. In case of power outages it is crucial to utilize the scarce power sources for the most vulnerable cause of demand. Furthermore, it is evident that due to the lack of monitoring and automation present in building energy management systems, a considerable percentage of energy wastage gets reported. Thus the need for a proper load forecasting methodology has arisen in the recent past. Researchers have formulated statistical methods and machine learning based models to facilitate energy forecasting for future periods. This paper addresses the load forecasting challenge by proposing an IoT (Internet of Things) based energy management system that incorporates an XGBoost (Extreme Gradient Boost) machine learning model to forecast energy consumption. The energy management system consists of a user-friendly central dashboard that acts as a mediator between a NodeMCU device and a cloud-hosted database with the aforementioned machine learning model. The paper concludes with a summarized discussion on the research.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"72 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":"121489474","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":"Keynote Address 02: Power Conversion Technology for Renewable Energy Systems Integrated into Medium Voltage DC Grids","authors":"K. Sun","doi":"10.1109/eecon52960.2021.9580956","DOIUrl":"https://doi.org/10.1109/eecon52960.2021.9580956","url":null,"abstract":"","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"76 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":"134464021","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}
K. Vidanapathirana, K.A.I.M. Kumarapeli, M. Marasinghe, DP Amarasinghe, JR Lucas
{"title":"Performance Evaluation of a Hybrid Dual-Axis Solar Tracking System","authors":"K. Vidanapathirana, K.A.I.M. Kumarapeli, M. Marasinghe, DP Amarasinghe, JR Lucas","doi":"10.1109/EECon52960.2021.9580961","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580961","url":null,"abstract":"In a photo-voltaic solar energy system, solar tracking can harness more energy compared to a fixed system. This paper presents a design of a Manual/Automatic Hybrid Dual Axis Solar Tracking System that tracks the sun's daily and seasonal motions. The hybrid tracker tries to ensure that the solar panel is always positioned perpendicular to the solar incident radiation by operating the tracker along two axes, of east to west (daily motion) and north to south (seasonal motion). The automatic tracking includes Time based Chronological Tracking and Light Dependent Resistor (LDR) based Active Tracking. Daily tracking is operated by a stepper motor while seasonal tracking is done manually by a gear system once a month. Results of the study show that the proposed hybrid dual-axis solar tracking system is capable of improving the overall energy efficiency by around 35%, over a fixed installation, in an economical manner.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"70 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":"127472554","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}
J. Karunadasa, S. S. Jayaweera, H. Kumara, J. Jayasooriya
{"title":"Hardware and Control Design of a Novel Three Phase Grid Tie Inverter System","authors":"J. Karunadasa, S. S. Jayaweera, H. Kumara, J. Jayasooriya","doi":"10.1109/EECon52960.2021.9580944","DOIUrl":"https://doi.org/10.1109/EECon52960.2021.9580944","url":null,"abstract":"Renewable energy-based power generation has become the main focus in the energy field due to the growing concerns over the environmental effects of conventional energy systems. With the advancement in technology, the integration of Solar Photovoltaic (PV) systems into the utility grid has increased over the past few years. Solar PV systems typically generate DC electricity, while the conventional electricity grid is AC of constant voltage and constant frequency. This necessitates the design of low-cost, highly efficient power conversion systems to ensure maximum power capture from solar panels. This paper presents a hardware and control design of a fully controllable source to grid interconnecting system for Solar PV systems with Maximum - Power - Point - Tracking (MPPT). In the proposed system, a Four -Phase Floating Interleaved Boost Converter (4P - FIBC) which is an enhanced boost converter is utilized to have a cost-effective and efficient power conversion. A d-q transformation-based current controlled mechanism is to control the Voltage Source Inverter (VSI). The synchronization between the inverter and the grid is achieved through Phase Locked Loop (PLL) technique. The design is modeled and simulated in MATLAB Simulink. The paper presents the simulation results of the system to verify the system model.","PeriodicalId":118240,"journal":{"name":"2021 3rd International Conference on Electrical Engineering (EECon)","volume":"23 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":"125599532","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}