Electrical Engineering Conference

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1st International Conference on Electrical Engineering 2016 (Pre Text)
(Institute of Electrical and Electronics Engineers, Inc., 2016-12) Rajapakse, A; Prasad, WD
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The 2nd International Conference on Electrical Engineering 2018 (Pre Text)
(Institute of Electrical and Electronics Engineers, Inc., 2018) Samarasinghe, R; Abeygunawardana, S
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3rd International Conference on Electrical Engineering 2021 (Pre Text)
(Institute of Electrical and Electronics Engineers, Inc., 2021) Abeykoon, AMHS; Velmanickam, L
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An adaptive protection scheme for small scale microgrids based on fault current level
(Institute of Electrical and Electronics Engineers, Inc., 2018-09) Peiris, WLT; Eranga, WH; Hemapala, KTMU; Prasad, WD; Samarasinghe, R; Abeygunawardana, S
With the growing of the “Microgrid” concept in the modern world, new protection systems are required. This protection system should be handled the all configurations and all conditions of the microgrids and suitable for small scale less expensive microgrids. This paper proposed a reliable, online, adaptive and accurate method for microgrid protection by using fault current level of the system considering the modes of operation, dynamic nature of the Distributed Generators (DGs) and different types of the loads. This is an adaptive protection scheme for a microgrid; where a Microgrid Central Protection Unit (CPU) monitors the microgrid continuously using a communication medium, whenever fault is detected in the network, the relay settings of the microgrid are altered adaptively based on instructions issued by CPU. This method can be operated accurately by estimation fault current level of the Microgrid at the instant and using that relay tripping current at any disturbance and can be calculated at any condition. By using this protection strategy, can create self-operated microgrid and can avoid human interference to the microgrid operation, design and calculation.
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Analysis of induction motor performance under unbalanced supply voltage conditions and its impact on the network voltage unbalance propagation
(Electrical Engineering Society (EESoc) of Department of Electrical Engineering, University of Moratuwa, 2015-12) Kattriarachchi, KG; Arachchige, VO; Kanchana, LG; Gunaratna, RDDCY; Jayasekara, AGBP
Voltage unbalance (VU) is regarded as a power quality problem of significant concern at the electricity distribution level. Influence of unbalanced supply voltages on the adverse performance of power system and its equipment is intensified by the fact that a small unbalance in the phase voltages can cause a disproportionately larger unbalance in phase currents. Naturally, three phase Induction Motor (IM) loads which are considered to be the main work horses of many industrial environments, are symmetrical devices and do not possess any inherent unbalance. However, the operation of three-phase induction motor is adversely affected by the supply source unbalance. Voltage unbalance causes a lot of adverse effects on induction motor such as Overheating, line-current unbalance, derating, torque pulsation, and inefficiency. The overheating leads to winding insulation degradation. Despite the degrading of motor performance, it has been found that the existing level of the voltage unbalance (VU) at the point of common coupling (PCC) is attenuated due to the presence of induction motor load. The following analysis shows how VU is attenuated by three phase induction motors at the point of evaluation (POE). Finally this paper presents a practical approach to evaluate VU propagation at different points of the network in terms of the Voltage Unbalance Factor (VUF) and hence the level of attenuation made by induction motor loads.
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Analysis of torque sensorless steer by wire system using the bilateral tele-operation concept
(Institute of Electrical and Electronics Engineers, Inc., 2021-09) Senevirathne, EH; Abeykoon, AMHS; Wijewardhana, WMTG; Abeykoon, AMHS; Velmanickam, L
The mechanical linkage of the steering column can ideally be replaced by a bilateral controller-based steer by wire system. This paper presents an intuitive method of designing a bilaterally controlled steer by wire system based on disturbance observers and reaction torque observers. The presented system can overcome the force sensing demerits of traditional force sensors as well as the demerits of existing steer by wire systems based on bilateral control systems. Feedback torque from the steering rack to the steering wheel conveys important data about the road conditions as well as the vehicle conditions to the driver. Hence, accurate feedback to the driver is vital for smooth vehicle handling. The presented method has the capability of tuning the system as per the desire. The validity of the proposed method has been verified through simulations using real-world vehicle and controller data.
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Application of machine learning algorithms for predicting vegetation related outages in power distribution systems
(Institute of Electrical and Electronics Engineers, Inc., 2021-09) Melagoda, AU; Karunarathna, TDLP; Nisaharan, G; Amarasinghe, PAGM; Abeygunawardane, SK; Abeykoon, AMHS; Velmanickam, L
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.
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Application of machine learning algorithms for solar power forecasting in Sri Lanka
(Institute of Electrical and Electronics Engineers, Inc., 2018-09) Amarasinghe, PAGM; Abeygunawardane, SK; Samarasinghe, R; Abeygunawardana, S
Reliability and stability of a power system get decrease with the integration of large proportion of renewable energy. Renewable sources such as solar and wind are highly intermittent, and it is difficult to maintain system stability with intolerable proportion of renewable energy injection. Solar power forecasting can be used to improve system stability by providing approximated future power generation to system control engineers and it will facilitate dispatch of hydro power plants in an optimum way. Machine Learning (ML) algorithms have shown great performance in time series forecasting and hence can be used to forecast power using weather parameters as model inputs. This paper presents the application of several ML algorithms for solar power forecasting in Buruthakanda solar park situated in Hambantota, Sri Lanka. The forecasting performance of implemented ML algorithms is compared with Smart Persistence (SP) method and the research shows that the ML models outperforms SP model.
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Application of robot autobiographical memory in long-term human-robot social interactions
(Institute of Electrical and Electronics Engineers, Inc., 2018-09) Edirisinghe, MMSN; Muthugala, MAVJ; Jayasekara, AGBP; Samarasinghe, R; Abeygunawardana, S
Robots are becoming a part of the human society. They are intended to maintain long-term social interactions with humans. A memory about each interaction partner is essential for a robot for maintaining long-term social interactions. Therefore, robot memory must possess the abilities for extracting, storing, updating and recalling information during social interactions. This work studies the application of a robot’s autobiographical memory in long-term social interactions in multi-user environments. The proposed system is capable of acquiring knowledge about users through friendly conversations and recall them during future interactions. The autobiographical memory which has been designed with a three-layered architecture is employed for storing significant information which is required for long-term social interactions. The interaction manager module has been designed as a finite state machine for managing the interaction between the robot and the user. Dialogue flows were defined for each state to communicate with the user. The system has been tested and validated by using a set of experiments.
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Cloud movement analysis using Lucas Kanade method
(Institute of Electrical and Electronics Engineers, Inc., 2021-09) Weligamage, SU; Ravindu, HM; Bandara, T; Ranathunga, L; Abeykoon, AMHS; Velmanickam, L
Weather forecasting is an important task as it helps people to manage their work.Cloud movement is a major factor for the variation of the weather. Along with the other factors, cloud movement scan beused to predict the weather changes. This paper propose a method to analyze the cloud movements and calculate the motion vectors using Lucas Kanade method. Cloud velocity vector scan beused with cloud types, wind and thermal data to predict the cloud patterns which helps to forecast weather changes. Proposed method has implemented on a software plat form and experiments has been carried out to validate the system.
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Comparison of techniques based on current signature analysis to fault detection and diagnosis in induction electrical motors
(Institute of Electrical and Electronics Engineers, Inc., 2016-12) Fontes, AS; Cardoso, CAV; Oliveira, LPB; Rajapakse, A; Prasad, WD
The wide use of electrical induction motors in industries throughout the world requires, increasingly, more precision in fault diagnosis. Techniques of predictive maintenance such as Motor Current Signature Analysis (MCSA) and Motor Current Square Signature Analysis (MSCSA) are used to detect and diagnose faults patterns, characterized by the stator current spectrum, in induction motors. In this article, these techniques are applied and compared for different faults in real motors, such as inter-turn short circuit in the stator winding and eccentricity in the air gap. To assist in the comparison of these patterns of the stator current spectrum with and without faults, a theoretical model of a healthy electrical induction motor was used, with the same values of the real supply voltages, which generated the frequency spectrum patterns. The results presented in this article, which should be emphasized, demonstrated that the techniques mentioned above were suitable for the cited faults, whose comparison between the techniques showed the suitability of each one.
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Condition monitoring system for outdoor insulators
(Institute of Electrical and Electronics Engineers, Inc., 2018-09) Karunarathna, IMAM; Karunathilaka, KLT; Wanasinghe, WMHM; Sampath, GKL; Lucas, JR; Samarasinghe, R; Samarasinghe, R; Abeygunawardana, R
High Voltage insulators are vital components in transmission and distribution systems in a power network. Most of the insulators are used in open air applications where they are subjected to different environmental conditions. Exposure to these different weather conditions and contaminations determine their performance as insulators. Condition monitoring of power line insulators is an important requirement for asset management and engineers in a power network in order to maintain a healthy power system. There are several techniques that have been introduced to fulfill this requirement. One of the techniques of measuring surface leakage current is introduced here. In this paper, rainy weather conditions are simulated in an artificial rain making chamber and the performance of insulators are examined at different contamination levels. This paper highlights the concepts of measuring surface leakage current for insulators under contaminated conditions. Results show that the surface leakage current is closely related to the insulator condition.
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A dc link for the power system simulator
(Electrical Engineering Society (EESoc) of Department of Electrical Engineering, University of Moratuwa, 2015-12) Abeyrathne, PM; Abeysinghe, AMGT; Karunanayake, IM; Ranasinghe, PMH; Dias, MP; Lucas, JR; Jayasekara, AGBP
High Voltage Direct Current (HVDC) links are used for bulk power transmission due to its advantages over the alternating current (ac) transmission. A HVDC link between India and Sri Lanka has also being proposed. Hence it is a timely needfor the students in local universitiesto be able to study the behaviour of HVDC transmission. This paper presents the design of a DC link for a locally assembled Power System Simulator as a teaching tool.The objective is to use this design as a learning tool to study the behaviour of HVDC transmission under normal and abnormal operation. It is expected to be used for laboratory experiments related to HVDC transmission and Power Electronics, hence providing the opportunity for visualization of the behaviour of performance parameters at the significant points of the model.
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DC microgrid as a solution for utilisation of solar photovoltaic sources
(Institute of Electrical and Electronics Engineers, Inc., 2016-12) Bandara, AIMH; Binduhewa, P; Ekanayake, J; Rajapakse, A; Prasad, WD
MicroGrid (MG) is a convenient solution to integrate renewable energy sources to the existing power network. Though ac MicroGrids are widely studied, researches are focused towards the implementation of dc MicroGrids in order to improve the utilization of renewable sources with dc power output. In this study a MicroGrid architecture for commercial buildings and domestic houses with solar photovoltaic (PV) as the renewable energy source is proposed. The dc MicroGrid was implemented in PSCAD/EMTDC software package and simulations studies were conducted to validate the operation.
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Design and simulation of a human-like robot neck mechanism
(Electrical Engineering Society (EESoc) of Department of Electrical Engineering, University of Moratuwa, 2015-12) Edirisinghe, EANS; Lakmal, RAP; Lakshitha, TGG; Sirimanna, SWDTS; Jayasekara, AGBP; Jayasekara, AGBP
A vast range of human-friendly interactive robotic heads is being developed by researchers. However these robot heads require improvements in construction and behavior to achieve more human-like performance. Therefore this paper proposes a design of a robotic head with human-like movements. The details of the kinematic analysis, particulars on mechanical design of the neck, the electrical and control system of the robotic neck are discussed. The design parameters have been identified by analyzing the bio-mechanical information related to basic head movements of the humans. This paper includes a way to imitate human neck movements of flexion and lateral flexion. Design of this robotic neck platform is done in such a way that it can be used as a platform for facilitating further developments in integrating more additive features to a robotic neck, which are to be incorporated as per needed by any developer.
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Design and simulation of a robotic arm for a service robot
(Electrical Engineering Society (EESoc) of Department of Electrical Engineering, University of Moratuwa, 2015-12) Pathirana, MGK; Perera, KTK; Sirithunge, HPC; Srimal, PHDAS; Jayasekara, AGBP; Jayasekara, AGBP
This paper focuses on designing and simulation of an interactive robotic arm for pick and place and service applications. The robot is expected to have image processing and voice recognition capability. The mechanical structure is simulated using forward kinematics and for this, Denavit-Hartenberg parameter method is used for the proposed design and hence the mechanical structure is simulated in MATLAB and SolidWorks. SolidWorks structure comprises the proposed link lengths and joints which were used for forward kinematics calculations and workspace simulations. Static and dynamic torques are taken into consideration to determine the torques of joint motors. It is expected to find the design requirements and assess the scope of the robot arm before its manipulation.
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Design of a multi-zone dielectric fresnel lens for microwave wireless power transfer in concrete structures
(Institute of Electrical and Electronics Engineers, Inc., 2018-09) Salama, R; Liyanapathirana, R; Samarasinghe, R; Abeygunawardana, S
Wireless power transfer (WPT) can be used for a number of applications in civil engineering such as powering of embedded sensors in concrete. In this paper, a multi-zone dielectric lens is designed and used to enhance the performance of WPT in concrete structures. Analytical equations are used to calculate the design parameters of the dielectric lens andperformance pertaining to the transmission coefficient, S21, and electric field distribution of the WPT with and without the dielectric lens is investigated using computational models. It is shown that by using a dielectric lens, the performance of WPT in concrete structures can be significantly enhanced. It is also shown that by using the dielectric lens, the external power source can be placed at a distance of 1200 mm from the concrete structure and achieve an S21 that is similar to that achieved by the WPT without the dielectric lens when the external power source is placed at a distance of 200 mm.
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Design of a small electric vehicle charger with multi-ports
(Institute of Electrical and Electronics Engineers, Inc., 2018-09) Wijesekera, A; Binduhewa, P; Samarasinghe, R; Abeygunawardana, S
In developing countries, small vehicles such as three-wheelers are one of the most commonly used public transportation method and considered as an efficient way to travel in the traffic. Even though the commonly used type is based on fossil fuels, fully electric small vehicles are commercially available and developing. The biggest hurdle for the expansion of small Electric Vehicles (EVs) is the unavailability of charging stations around the country. This paper presents a charging station for small EVs. The proposed charging system has the capability of charging multiple small EVs simultaneously. Also, the charging station is capable of bi-directional power flow and thus small EVs can support grid when required. The performances of the controllers are verified by simulating the system in PSCAD/EMTDC. Finally, a cost analysis also was carried out to find out the financial feasibility.
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Design optimization of a power generator soundproofing enclosure
(Institute of Electrical and Electronics Engineers, Inc., 2018-09) De Zoysa, ADN; Iroshan, KA; Premaratne, UK; Ehelepola, I; Samarasinghe, R; Abeygunawardana, S
It is a vital requirement to have passive noise control enclosure in order to depress air borne noise of reciprocating engine type power generators. The design of these enclosures needs to be optimized in terms of the sound pressure level and the designing cost. We have used the existing acoustic equations to obtain the optimization based on the objective functions derived for the sound pressure level and enclosure design cost. Metaheuristic optimization algorithms such as genetic algorithms and particle swarm algorithm are capable of solving these optimization problems which have constraints for different parameters. The results obtained for a real world design problem confirms that particle swarm optimization provides better results than genetic algorithm in terms of optimality of the solutions and also the computational efficiency. Furthermore, it was observed that there is a significant linear relationship (R-Squared = 99.3%, p-value < 0.001) between the minimum enclosure design cost and the sound pressure level of the enclosure (SPLE) for the preferred range for SPLE values (65 to 70). The minimum possible enclosure design cost increases linearly with decreasing SPLE value. Therefore, the least possible SPLE value depends on the available financial resources.
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Development of a cost-effective half-duplex power line communication system for low bandwidth home automation applications
(Institute of Electrical and Electronics Engineers, Inc., 2021-09) Wanninayake, WMSG; Kumarasiri, BU; Dharmaweera, MN; Pilanawithana, B; Abeykoon, AMHS; Velmanickam, L
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.