{"title":"Hysteresis Based Fixed Switching Frequency Current Control of a Three Phase Grid Connected Voltage Source Inverter","authors":"S. Lakshmi, K. Mathew","doi":"10.1109/IPRECON55716.2022.10059577","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059577","url":null,"abstract":"The traditional Fixed Band Hysteresis Current Control though being widely used for the current control of a grid connected system, it has the drawback of variable switching frequency. To overcome this drawback, Variable Band Hysteresis Current Control has been recommended in the literature. This paper proposes a Hysteresis based Current Control of Three Phase Grid Connected Voltage Source Inverter, wherein a single reference wave is used per phase instead of a hysteresis band. Here the upper and lower boundaries of the inductor current in each phase are either controlled by the comparator or by the switching logic based on the nature of its slope. Theoretical analysis and the MATLAB/Simulink results are included to validate the proposed method.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"121 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":"123072150","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":"Voltage Stability Assessment of Transmission System with Electric Vehicles as Virtual Power Plants","authors":"K. B. L. Nair, R. M. Shereef","doi":"10.1109/IPRECON55716.2022.10059549","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059549","url":null,"abstract":"The proposition of Electric Vehicles (EVs) for mobility is gaining prominence due to foreseen depletion of fossil fuels as well as the ease of charging them at home or in parking lots from renewable energy sources. Aggregators with smart communication facilitate the utilization of batteries of EVs as portable power plants for emergency and ancillary services as well as for daily load scheduling which helps to increase the reliability of the existing grid. But the penetration of such power sources from the distribution side should also ensure the stability of the existing power system. This paper investigates the voltage stability of a power system with participation of EVs in grid scheduling. A cost model of battery of EV to schedule the available active and reactive power is proposed. A hierarchical control strategy to aggregate the capacities of EV batteries is also proposed in this paper. Optimal scheduling of modified IEEE 9 bus test system is done in MATPOWER with EVs as virtual power plants (VPP). To evaluate the voltage stability of the system, L-indices of the load buses with and without the participation of EVs are determined using MATLAB.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"21 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":"125922758","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":"Deep CNN Based Approach for Driver Drowsiness Detection","authors":"Jumana R, Chinnu Jacob","doi":"10.1109/IPRECON55716.2022.10059547","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059547","url":null,"abstract":"Driver sleepiness is one of the leading causes of road accidents. Drowsiness is the main risk factor that causes traffic crashes, several injuries, and a high risk of fatalities. Deep learning has made some progress in identifying the driver drowsiness while driving a vehicle. In this study, we propose a two-dimensional CNN-based classification model to extract the information from facial images and categorize it into sleepy and non-sleepy classes. The performance of the model was compared to that of other transfer learning techniques, such as VGG-16 and ResNet-50. Furthermore, the validation accuracy of each model has been evaluated and measured along with precision, recall, and f1-score. According to the evaluations, the proposed model exhibits better performance than other transfer learning strategies.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"18 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":"125502360","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}
Mohammad Afkar, R. Gavagsaz-Ghoachani, M. Phattanasak, S. Pierfederici
{"title":"Thermal analysis of two-input boost converter","authors":"Mohammad Afkar, R. Gavagsaz-Ghoachani, M. Phattanasak, S. Pierfederici","doi":"10.1109/IPRECON55716.2022.10059519","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059519","url":null,"abstract":"This paper investigates losses in a two-input boost converter operating on continuous current conduction mode with a constant switching frequency. The converter can be applied for renewable sources such as photovoltaic cells and fuel cell applications where several stacks of cells are separated. A thermal imaging camera shows the temperature distribution for the main switch devices when all input powers are identical. A synchronous rectifier is used to reduce the losses on the switch devices. Using a anti-parallel diode and the MOSFET is compared in terms of losses. One can observe that using a synchronous rectifier offers higher efficiency than using a diode.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"32 3 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":"116414645","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":"On-line Estimation Method of Junction Temperature Based on SiC Module Aging Parameter Identification","authors":"Chao Zhang, Bochao Du, Shuimei Cui","doi":"10.1109/IPRECON55716.2022.10059527","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059527","url":null,"abstract":"Accurate evaluation of junction temperature is extremely important to improve the safety and reliability of SiC modules. However, it is difficult to obtain the internal junction temperature of SiC modules in real time, limited by sensors and testing methods. The junction temperature estimation based on the thermal network model combined with an integrated negative thermal coefficient (NTC) thermistor is an effective evaluation method. The existing thermal network models omit effects of the solder layer fatigue aging due to thermal stress, resulting in junction temperature estimation error. In this paper, a junction temperature estimation method is proposed, which establish the relationship between NTC sensor temperature and the thermal resistances of chip solder layer and bottom layer. The junction temperature and NTC sensor temperature of the SiC module is expressed using the equation of state analysis to obtain a discrete-time system of temperature. The aging thermal resistance parameters of the thermal network model can be identified online, and the accurate online estimation of different aging conditions inside the module can be realized.","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":"122433853","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":"Novel Gradient-Based Optimizer: A Case Study on Economic Load Dispatch Problem","authors":"Sanket Raval, N. Thangadurai, S. Deb","doi":"10.1109/IPRECON55716.2022.10059479","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059479","url":null,"abstract":"The Gradient-Based Optimizer (GBO) is newly invented metaheuristic optimization algorithm based on Newton's based method. In this paper, novel gradient-based optimizer is proposed based on Levy-Assisted and Opposition Based Strategy (LEOBGBO- Levy Enhanced Opposition Based GBO). Proposed optimizer also utilizes gradient search rule and local escaping operator as original GBO. Newly proposed optimizer is applied for solving standard benchmark functions as well as Economic Load Dispatch (ELD) problem. The performance of the proposed metaheuristic is compared with other state of the art algorithms. Performance analysis proves the superiority of proposed optimizer over other algorithms for benchmark function as well as ELD.","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":"114184995","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":"Various Non-Isolated Three Phase grid-integrated PV Inverter Topologies for Leakage Current Reduction - A simulation-based study","authors":"S. Ramasamy, Gianluca Gatto, Amit Kumar","doi":"10.1109/IPRECON55716.2022.10059530","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059530","url":null,"abstract":"Non-Isolated grid-integrated inverter configurations are vastly preferred due to their high efficiency, low cost and compatibility with the system. The main downside of the system is galvanic isolation, leakage current (LC) minimisation, and reactive power compensation. Galvanic isolation and leakage current reduction in non-isolated inverter configuration mainly depends on inverter structure and modulation techniques. Based on these issues, several single-phase grid-integrated inverter configurations are developed and reviewed. Compared to single-phase inverter topologies, there are very few studies on three-phase inverter topologies. Hence, in this paper, several three-phase inverter topologies are reviewed based on AC and DC clamping isolation, hybrid isolation with modified discontinuous pulse width modulation technique on LC reduction, current THD, and the strengths and weaknesses of the structure. Finally, simulations are carried out in MATLAB/Simulink for different inverter topologies.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"22 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":"114448083","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}
A. Biju, J. Joseph, Leah Kurian, Thalha Jamsheed, Priya C V
{"title":"An Automated System For Subject Allocation Among Faculty in Academic Institutions","authors":"A. Biju, J. Joseph, Leah Kurian, Thalha Jamsheed, Priya C V","doi":"10.1109/IPRECON55716.2022.10059509","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059509","url":null,"abstract":"It is inferred that, in many academic institutions, the faculties have to work overtime. This is due to the increased demands and tasks placed on them in addition to academic labor reducing their valuable time. This results in work dissatisfaction and indignation among faculties. In order to increase satisfaction and better manage workloads, a number of colleges and academic institutions have used workload allocation models. From the list of subjects, the faculties provide the preferences of the choice of subjects. Each faculty must be allocated with fixed n umber of subjects. The allocation must happen in such a way that no faculty member remains unallocated and no subject remains without a faculty, given that each faculty member provides more than three preferences for a subject and more than two preferences for lab. At present, academic institutions follow a manual method of subject allocation to faculties. This work presents an optimal distribution of subjects to the faculties, considering the above-mentioned constraints in an automated and efficient manner.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"46 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":"129579435","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":"FPGA Implementation of processing element unit in CNN accelerator using Modified Booth Multiplier and Wallace Tree Adder on UniWiG Architecture","authors":"Bless Thomas, Manju Manuel","doi":"10.1109/IPRECON55716.2022.10059525","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059525","url":null,"abstract":"Deep Neural Networks (DNNs) are useful for re-solving many practical problems such as traffic monitoring, vehicle detections. Among DNNs, Convolutional Neural Networks (CNNs) are generally used for image processing and video processing applications. In CNN, most of the computations are used up by convolution process. Winograd minimal filtering-based algorithm is one of the effective methods for computing convolution for small filter sizes. A prominant component of CNN accelerator design is the processing element (PE) unit which mainly comprises of the bulky multiply and accumulate (MAC) units and adder tree. It is the PE that performs the convolution operation. In this paper, new processing element has been designed using Modified Booth Encoding multiplier (MBE) and Wallace tree adders to reduce the amount of hardware resources and power consumption. This modified PE unit is implemented on an architecture known as UniWiG (Unified Winograd GEMM architecture). The proposed design reduces hardware complexity and achieves better power efficiency than the previous designs. Hardware realization of this work is done using Verilog Hardware Description Language(HDL) and tested on FPGA board.","PeriodicalId":407222,"journal":{"name":"2022 IEEE International Power and Renewable Energy Conference (IPRECON)","volume":"23 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":"128264012","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 Performance Analysis of a Permanent Magnet Flux Switching Motor","authors":"Navametha Ramkumar, J. Merlyn, N. C. Lenin","doi":"10.1109/IPRECON55716.2022.10059699","DOIUrl":"https://doi.org/10.1109/IPRECON55716.2022.10059699","url":null,"abstract":"Permanent magnet flux switching motors is a combination of Switched Reluctance Motor (SRM)) and Permanent Magnet Synchronous Motor (PMSM). Due to its robust rotor structure and high torque density, it has become a suitable option for many applications like automotive, electric power generation, home appliance and etc. This paper explores the design of a 4-pole stator and 2-pole rotor Permanent Magnet Flux Switching Motors (PMFSM) and its electromagnetic performance and the results obtained.","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":"124719775","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}