{"title":"Predictive Current Control of Three Level Neutral Point Clamped Based Indirect Matrix Converter","authors":"H. Basri, K. Lias","doi":"10.1109/EnCon.2019.8861262","DOIUrl":"https://doi.org/10.1109/EnCon.2019.8861262","url":null,"abstract":"This paper investigates a Finite Control Set Model Predictive Control (FCS-MPC) approach on a newly developed topology called Three Level Neutral Point Clamped Based Indirect Matrix Converter. The proposed control strategy takes advantage of the discrete nature of power converter system to predict the future behavior of the output current and subsequently selects the future state that minimizes a cost function before actuating in the next sampling time. Foremost, an extensive mathematical analysis is performed to comprehend the operating principle of Three Level Indirect Matrix Converter (TLIMC). Its ability to generate multilevel output voltage represents a tremendous advantage especially for high voltage applications. The procedure of developing this control scheme is elucidated by considering two discretization methods which are Forward and Backward Euler’s approximation. The outcomes of each discretization are compared in terms of the harmonics content (THD%) and its ability to track the reference output currents through Matlab/Simulink® simulation. Both approaches illustrate good tracking ability while using an intuitive and versatile control scheme.","PeriodicalId":111479,"journal":{"name":"2019 International UNIMAS STEM 12th Engineering Conference (EnCon)","volume":"04 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129282394","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}
Jessie Rose, Lai Jia Chi, Then Yi Lung, C. K. Vithanawasam
{"title":"Calibrated Analytical Model of Low Cost YL-69 Hygrometer Sensor for Determining Moisture Content of Fruit and Vegetable Waste","authors":"Jessie Rose, Lai Jia Chi, Then Yi Lung, C. K. Vithanawasam","doi":"10.1109/EnCon.2019.8861253","DOIUrl":"https://doi.org/10.1109/EnCon.2019.8861253","url":null,"abstract":"Moisture content (MC) is one of the influential parameters in food waste composting process. With the use of low aeration rate in achieving minimal loss of moisture, 60% moisture content is found to be the optimum indicator. There is a need to retain moisture of the composting process at this set point to achieve peak temperature while eliminating odour emission. A low cost YL-69 hygrometer sensor which has been verified for its applicability in measuring volumetric content of soil was used in this investigation. The sensor measured moisture content of food waste composting process continuously. With this, two models were developed, and standard soil gravimetric method showed a strong relationship of R2 is 0.962 with error 5.02 % (< 10%). The application of YL-69 hygrometer sensor for measurement of moisture content in food waste composting process is thus appropriate.","PeriodicalId":111479,"journal":{"name":"2019 International UNIMAS STEM 12th Engineering Conference (EnCon)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115063837","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":"Integration of Renewable Energy Sources Optimization in Sarawak Using GIS and MCDM-AHP","authors":"F. Jong, M. Ahmed, D. Aik","doi":"10.1109/EnCon.2019.8861261","DOIUrl":"https://doi.org/10.1109/EnCon.2019.8861261","url":null,"abstract":"Running out of finite resources has led Renewable Energy Resources (RES) to be utilized widely around the world. The main factor to increase the productivity of the RES is by identifying renewable resourceful sites. Hence the selection of RES sites in Sarawak through Multi-Criteria Decision-Making Process-Analytical Hierarchy Process (MCDM-AHP) method has been carried out in this research. The objective of this research is to identify the potential RES sites throughout the interior of Sarawak state using MCDM-AHP. From this research, solar, hydro and wind energy are taken into account whereby these resources have the potential to provide great development electrification of the Sarawak state. Proper selection of RES sites in both rural and urban areas is a primary target of this research. For the initial stage of the research, the geographical conditions in different locations of Sarawak State are analyzed in order to generate a number of criteria for each of the selected sites. The collection of criteria data such as solar radiation intensity, population, electrification status, wind speed, land slope and proximity to the road have been analyzed. Accordingly, MDCM-AHP algorithm has been selected as the required solution technique for this research because it is able to perform the complex decision making in solving these problems. A developed scheme which contains RES sites along with their criteria is included in the MCDM-AHP approach to conduct the final selection of RES sites. The output of this research identified a total number of 16 potential RES sites.","PeriodicalId":111479,"journal":{"name":"2019 International UNIMAS STEM 12th Engineering Conference (EnCon)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130693839","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":"Digital Predictive Current Control Fed by Three-Level Indirect Matrix Converter under Unbalanced Power Supply Condition","authors":"H. Basri, K. Lias, S. Mekhilef","doi":"10.1109/EnCon.2019.8861266","DOIUrl":"https://doi.org/10.1109/EnCon.2019.8861266","url":null,"abstract":"This paper presents an experimental evaluation of predictive current control fed by a three-level indirect matrix converter featuring instantaneous reactive power minimization strategy. The proposed topology combines the conventional indirect matrix converter with a back-to-back buck circuit which can synthesize multilevel dc-link voltage. A systematic rectifier switching strategy is elaborated to ensure positive fictitious dc-link voltage at any instant. The generic expression of the instantaneous reactive power was formulated for unbalance supply voltage. The proposed strategy undergone various transient and steady-state test and unbalance supply condition for thorough robustness assessment. The experimental results proved an excellent load current reference tracking with low ripple current and the reactive power minimization has been attained by empirical adjustment of the weighting factor.","PeriodicalId":111479,"journal":{"name":"2019 International UNIMAS STEM 12th Engineering Conference (EnCon)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133924883","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}
Daphne Tay Ye Chee, H. Nabipour-Afrouzi, Z. A. Malek, K. Mehranzamir, J. Ahmed, Tiong Siing Kieh
{"title":"Simulation and Analysis of Electric Field Distributions in Stator Bar Insulation System with Different Arrangement of Cavities","authors":"Daphne Tay Ye Chee, H. Nabipour-Afrouzi, Z. A. Malek, K. Mehranzamir, J. Ahmed, Tiong Siing Kieh","doi":"10.1109/EnCon.2019.8861258","DOIUrl":"https://doi.org/10.1109/EnCon.2019.8861258","url":null,"abstract":"The underlying cause of the cessation in high voltage machineries can be rooted from the failure in the insulation system due to cavity’s discharges originating from the presence of cavities. This paper caters to the study of the electric field distribution inside stator bar insulation system with different arrangement of cavities, in either single or multiple cavities of different alignment to aid the investigation of electric field stresses inside the cavities and the tendency of electrical breakdown in the stator bar insulation system. Simulation using Finite Element Method (FEM) with the assistance of COMSOL software is being carried out for this 2-Dimensional stator bar insulation modelling. A 10kV stator bar insulation system is modelled in 2 dimensions to analyse the electric field distribution under different arrangements of cavities. The simulation results show that the randomly distributed cavities aligned in vertical direction constitutes a greatest upsurge of electric field stress by 85% while horizontally aligned cavities that are 0.7mm apart instigates only 46.2% increase in electric field stress within the cavity. This affirms that the arrangement of cavities poses an influence over the electric field distribution inside stator bar insulation system.","PeriodicalId":111479,"journal":{"name":"2019 International UNIMAS STEM 12th Engineering Conference (EnCon)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124078789","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}
M. E. Hoque, K. Kipli, T. Zulcaffle, D. Mat, A. Joseph, N. Zamhari, R. Sapawi, Mohammad Yasin Arafat
{"title":"Segmentation of Retinal Microvasculature Based on Iterative Self-Organizing Data Analysis Technique (ISODATA)","authors":"M. E. Hoque, K. Kipli, T. Zulcaffle, D. Mat, A. Joseph, N. Zamhari, R. Sapawi, Mohammad Yasin Arafat","doi":"10.1109/EnCon.2019.8861259","DOIUrl":"https://doi.org/10.1109/EnCon.2019.8861259","url":null,"abstract":"The modern ophthalmology is completely dependent on digital image processing to find out the remarkable symptoms for diagnosing the severe cardiovascular disease such as hypertensive retinopathy, and transient ischemic attack that are related to the changes of the retinal microvasculature. Employing the image segmentation techniques, the abnormalities in retinal microvasculature like vessel tortuosity, cotton wool spots, and vessel caliber can be extracted which are recognized as the salient symptoms for the abovementioned cardiovascular diseases. In this paper, an automated method for retinal image segmentation has been proposed. The proposed method was developed employing the thresholding based Iterative Self-Organizing Data Analysis Technique (ISODATA) for image segmentation combining with other existing image preprocessing techniques. The performance of the proposed method was evaluated on the healthy patient image set of (High-Resolution Fundus Image Database) HRFID. This newly developed algorithm achieved 94.3% accuracy with 97.86% specificity and 0.0054 standard deviations. The proposed algorithm can be integrated as the computer-aided clinical diagnostic tool to facilitate the ophthalmologist with further evaluation and validation.","PeriodicalId":111479,"journal":{"name":"2019 International UNIMAS STEM 12th Engineering Conference (EnCon)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115528872","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. Huda, H. Nabipour-Afrouzi, Tiong Siing Kieh, K. Mehranzamir, J. Ahmed, C. Wooi
{"title":"Optimization Analysis of Hybrid Renewable Energy System Using Homer Software for Rural Electrification in Sarawak","authors":"N. Huda, H. Nabipour-Afrouzi, Tiong Siing Kieh, K. Mehranzamir, J. Ahmed, C. Wooi","doi":"10.1109/EnCon.2019.8861260","DOIUrl":"https://doi.org/10.1109/EnCon.2019.8861260","url":null,"abstract":"This research focuses on the design and optimization of a hybrid renewable energy system for the generation of electricity in a rural area in Sarawak, Malaysia. The investigated system consists of the combination of Solar and Biomass energy integrated into a system. The research uses Homer software as the simulation tool. The location area in rural part in Sarawak is firstly identified and the data sets in terms of solar radiation and biomass resources are investigated and collected. Furthermore, the load demands in the location are inspected to determine the amount of power needed to be generated by the system. In addition, the sizing and modelling for the components of the hybrid system will be performed. Besides, the costs for the components needed in the system configurations are calculated. Consequently, all the data sets, load demands and costs for the components are inputted into Homer Software for the simulation. The final stage of the paper is the generation of the net present cost and acquirement of the most optimal configuration for hybrid renewable energy, whereby the Net Present Cost for residential system is at $6.18M and animal farm system acquire Net Present Cost at $9.45M. The percentage difference in between theoretical and simulation total project costs for residential and animal farm system are 7.07% and 9.38% respectively.","PeriodicalId":111479,"journal":{"name":"2019 International UNIMAS STEM 12th Engineering Conference (EnCon)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130184644","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}