Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9777076
P. Krishna, V. Meena, Vinay Singh
Load frequency control (LFC) in an interconnected power system is advancing towards a crucial path due to the modern penetration of highly uncertain renewable energy sources in power systems. The modern LFC systems should be capable of handling complex regulation problems with a high degree of renewable source diversification to assure the generation-load balance. In this contribution, a rule-based fuzzy PI controller is implemented in a four-area interconnected power system with penetration of renewable energy sources like wind energy, hydro-gen aqua electrolyzer - fuel cell (HAE-FC), photo-voltaic (PV) system, and geothermal energy sources separately in each area along with a conventional energy source. The frequency response of four-area interconnected power system is obtained employing a rule-based fuzzy PI controller for load disturbances and is compared with the conventional PI controller. The simulation results demonstrate the superiority of the fuzzy PI controller over the conventional PI controller.
{"title":"Load Frequency Control in Four-area Interconnected Power System Using Fuzzy PI Controller With Penetration of Renewable Energies","authors":"P. Krishna, V. Meena, Vinay Singh","doi":"10.1109/ICPC2T53885.2022.9777076","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777076","url":null,"abstract":"Load frequency control (LFC) in an interconnected power system is advancing towards a crucial path due to the modern penetration of highly uncertain renewable energy sources in power systems. The modern LFC systems should be capable of handling complex regulation problems with a high degree of renewable source diversification to assure the generation-load balance. In this contribution, a rule-based fuzzy PI controller is implemented in a four-area interconnected power system with penetration of renewable energy sources like wind energy, hydro-gen aqua electrolyzer - fuel cell (HAE-FC), photo-voltaic (PV) system, and geothermal energy sources separately in each area along with a conventional energy source. The frequency response of four-area interconnected power system is obtained employing a rule-based fuzzy PI controller for load disturbances and is compared with the conventional PI controller. The simulation results demonstrate the superiority of the fuzzy PI controller over the conventional PI controller.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133809887","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9777044
T. Thomas, M. Mishra
This paper deals with robust control strategy used for the power management of a DC microgrid. The DC mi-crogrid considered here comprises of a PV source, permanent magnet synchronous generator based wind system, hybrid storage combination of battery and supercapacitor and a DC load. The PV and wind systems are operating at maximum power point during normal operation. PV is operating in MPPT using P & O algorithm and wind is operating using optimum torque based algorithm. A control strategy has been proposed for power sharing between storage systems and renewable sources. This strategy uses the Lyapunov function and ensures global asymptotic stability of the closed loop system. The bypassing of high frequency components to supercapacitor in the control strategy helps in reducing the current stress occurring in the battery. A robust controller based on sliding mode is used for tracking the current reference in the wind energy system. A power management algorithm has been developed based on this control technique for balancing the power, when there is a change in the renewable input, SoC of storage systems or load. During these disturbances, the DC link voltage is tightly regulated. The effectiveness of this strategy is explored by formal analysis and simulation using MATLAB/Simulink.
{"title":"A Robust Control Strategy for Power Management of an Islanded DC Microgrid","authors":"T. Thomas, M. Mishra","doi":"10.1109/ICPC2T53885.2022.9777044","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777044","url":null,"abstract":"This paper deals with robust control strategy used for the power management of a DC microgrid. The DC mi-crogrid considered here comprises of a PV source, permanent magnet synchronous generator based wind system, hybrid storage combination of battery and supercapacitor and a DC load. The PV and wind systems are operating at maximum power point during normal operation. PV is operating in MPPT using P & O algorithm and wind is operating using optimum torque based algorithm. A control strategy has been proposed for power sharing between storage systems and renewable sources. This strategy uses the Lyapunov function and ensures global asymptotic stability of the closed loop system. The bypassing of high frequency components to supercapacitor in the control strategy helps in reducing the current stress occurring in the battery. A robust controller based on sliding mode is used for tracking the current reference in the wind energy system. A power management algorithm has been developed based on this control technique for balancing the power, when there is a change in the renewable input, SoC of storage systems or load. During these disturbances, the DC link voltage is tightly regulated. The effectiveness of this strategy is explored by formal analysis and simulation using MATLAB/Simulink.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116898060","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776918
Samiran Das, Chirag Kyal, S. Pratiher
Traditional clustering methods groups data points according to attributes such as similarity, continuity, neighbor-hood information, etc. overlooks the structural properties of the data. Consequently, prevalent clustering approaches to below-par performance in real-world applications. Unlike traditional clustering approaches, subspace clustering methods attempt to group datapoints keeping the inherent structure and rank-related properties of the data into account. Despite the rapid growth in deep learning-based approaches, very few works have utilized deep learning for the subspace clustering task. This work introduced an auto-encoder-based deep learning architecture consisting of a self-expressive layer for the deep subspace clustering task. We use smoothed L2, L0.5 and Frobenius norms instead of the actual measures for ease of optimization task. We also explored the efficacy of sparsity measures that characterize the self-representation coefficient matrix of the self-expressive layer. The experiments conducted on standard datasets suggest that the application of efficient sparsity measures improves the performance of the subspace clustering approach and results in superior performance compared to the previous deep subspace clustering approaches.
{"title":"On Sparsity Measures In Deep Subspace Clustering","authors":"Samiran Das, Chirag Kyal, S. Pratiher","doi":"10.1109/ICPC2T53885.2022.9776918","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776918","url":null,"abstract":"Traditional clustering methods groups data points according to attributes such as similarity, continuity, neighbor-hood information, etc. overlooks the structural properties of the data. Consequently, prevalent clustering approaches to below-par performance in real-world applications. Unlike traditional clustering approaches, subspace clustering methods attempt to group datapoints keeping the inherent structure and rank-related properties of the data into account. Despite the rapid growth in deep learning-based approaches, very few works have utilized deep learning for the subspace clustering task. This work introduced an auto-encoder-based deep learning architecture consisting of a self-expressive layer for the deep subspace clustering task. We use smoothed L2, L0.5 and Frobenius norms instead of the actual measures for ease of optimization task. We also explored the efficacy of sparsity measures that characterize the self-representation coefficient matrix of the self-expressive layer. The experiments conducted on standard datasets suggest that the application of efficient sparsity measures improves the performance of the subspace clustering approach and results in superior performance compared to the previous deep subspace clustering approaches.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115384107","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776987
Franklin M. Miranda, Arnel C. Fajardo, Ruji P. Medina
Many countries have been facing problems concerning Pulmonary Tuberculosis. These illnesses have a great toll on human lives whether young or old. Medicines and health awareness have driven Health and Medical institutions to embrace the advancement in the medical field. It aimed to maximize the ability of Medical science to combat this illness. With medical and computer science combined led Artificial Intelligence and Neural networks to produce a drastic product in the early detection of Pulmonary Tuberculosis. Moreover, Image processing of captured photographs of Chest X-ray results was processed using a technique. The Contrast Low Adaptive Histogram Equalization and Grab Cut was used to concentrate on the region of interest for lungs. The Radial basis function was utilized as the network model and part of the program is to use Scikit learn in determining the confusion matrix, precision, recall, f1-score, and support. The concept was the first step to provide medical “diagnosis”, especially in low and hard-up far-flung communities that were rarely visited by a specialist for Chest X-ray interpretation.
{"title":"Pulmonary Tuberculosis Detection using Digitally Photographed Chest X-RAY Images","authors":"Franklin M. Miranda, Arnel C. Fajardo, Ruji P. Medina","doi":"10.1109/ICPC2T53885.2022.9776987","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776987","url":null,"abstract":"Many countries have been facing problems concerning Pulmonary Tuberculosis. These illnesses have a great toll on human lives whether young or old. Medicines and health awareness have driven Health and Medical institutions to embrace the advancement in the medical field. It aimed to maximize the ability of Medical science to combat this illness. With medical and computer science combined led Artificial Intelligence and Neural networks to produce a drastic product in the early detection of Pulmonary Tuberculosis. Moreover, Image processing of captured photographs of Chest X-ray results was processed using a technique. The Contrast Low Adaptive Histogram Equalization and Grab Cut was used to concentrate on the region of interest for lungs. The Radial basis function was utilized as the network model and part of the program is to use Scikit learn in determining the confusion matrix, precision, recall, f1-score, and support. The concept was the first step to provide medical “diagnosis”, especially in low and hard-up far-flung communities that were rarely visited by a specialist for Chest X-ray interpretation.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116166271","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776784
D. Singh, N. Verma
This paper provides an approach for design of Fuzzy Model Based (FMB) control system for generic aircraft and UAV related application. The FMB control is an evolving nonlinear control strategy which consists of a fuzzy model and a fuzzy controller connected in a closed-loop. In proposed work an application-oriented research, in which an emerging soft computing-based technique (fuzzy system) is applied for design of flight control system of Generic aircraft. The existing theoretical base developed in fuzzy systems literature is explored/customized for aircraft related application. The short period mode of longitudinal aircraft dynamics is considered for simulation and demonstration purpose. The fuzzy model of longitudinal aircraft dynamics are obtained from nonlinear dynamics equations about various representative points (equilibrium points) of flight envelop with some fuzzy rules. The aircraft flight envelope parameters i.e operating altitude and Mach Number are characterized as premise parameters and elements of stability and control derivative matrix are identified as consequent parameters of fuzzy model. The decay rate fuzzy controller with constraint on state and control input parameters is considered and its feedback gains are obtained by solving the LMI stability conditions. The closed-loop response of FMB controller is presented at three initial flight conditions. The simulation result reveals that proposed FMB controller is well suited at various identified operating points of the flight envelop. It not only stabilizes the aircraft dynamics but also provides improved transient performance. This demonstrates the utility of FMB control system for aircraft / UAVs related application.
{"title":"Design of Fuzzy Control System for Generic Aircraft/UAVs","authors":"D. Singh, N. Verma","doi":"10.1109/ICPC2T53885.2022.9776784","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776784","url":null,"abstract":"This paper provides an approach for design of Fuzzy Model Based (FMB) control system for generic aircraft and UAV related application. The FMB control is an evolving nonlinear control strategy which consists of a fuzzy model and a fuzzy controller connected in a closed-loop. In proposed work an application-oriented research, in which an emerging soft computing-based technique (fuzzy system) is applied for design of flight control system of Generic aircraft. The existing theoretical base developed in fuzzy systems literature is explored/customized for aircraft related application. The short period mode of longitudinal aircraft dynamics is considered for simulation and demonstration purpose. The fuzzy model of longitudinal aircraft dynamics are obtained from nonlinear dynamics equations about various representative points (equilibrium points) of flight envelop with some fuzzy rules. The aircraft flight envelope parameters i.e operating altitude and Mach Number are characterized as premise parameters and elements of stability and control derivative matrix are identified as consequent parameters of fuzzy model. The decay rate fuzzy controller with constraint on state and control input parameters is considered and its feedback gains are obtained by solving the LMI stability conditions. The closed-loop response of FMB controller is presented at three initial flight conditions. The simulation result reveals that proposed FMB controller is well suited at various identified operating points of the flight envelop. It not only stabilizes the aircraft dynamics but also provides improved transient performance. This demonstrates the utility of FMB control system for aircraft / UAVs related application.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115557735","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776989
Akhilesh Kuanr Tiwari, Lalit Kuanr Sahu
Adoption rate of Electric Vehicles (EVs) is highly influenced by charging infrastructure. Onboard battery chargers are preferred to recharge the battery packs installed in low power EVs. This paper presents a two-stage five-level rectifier based on-board charger for EV charging application. The proposed five-level rectifier constituted by six active switches capable to produce five distinct voltage level which reduces the size of filter and improves the power quality. The control scheme and the operating states for the rectifier are presented in detail. With the applied control scheme, the rectifier is capable to achieve unity power factor for all output voltages and regulated output voltage at the charging port. The proposed battery charger is capable to attain high efficiency which can ultimately make it suitable to work in integration with utility grid.
{"title":"Single Phase Multilevel Converter Based Battery Charger For Low Power EV Charging","authors":"Akhilesh Kuanr Tiwari, Lalit Kuanr Sahu","doi":"10.1109/ICPC2T53885.2022.9776989","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776989","url":null,"abstract":"Adoption rate of Electric Vehicles (EVs) is highly influenced by charging infrastructure. Onboard battery chargers are preferred to recharge the battery packs installed in low power EVs. This paper presents a two-stage five-level rectifier based on-board charger for EV charging application. The proposed five-level rectifier constituted by six active switches capable to produce five distinct voltage level which reduces the size of filter and improves the power quality. The control scheme and the operating states for the rectifier are presented in detail. With the applied control scheme, the rectifier is capable to achieve unity power factor for all output voltages and regulated output voltage at the charging port. The proposed battery charger is capable to attain high efficiency which can ultimately make it suitable to work in integration with utility grid.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123328629","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9777057
Vidyapati Jha, Priyanka Tripathi
Carbon monoxide is a common byproduct of incomplete combustion of carbon materials. It is a toxic gas that causes headaches, nausea, and dizziness, as well as death in some cases. As a result, human safety and security in the presence of CO are critical. Apart from detection, designing a recommendation system for a long time carbon monoxide inhalation has, therefore, become very much vital to avoid such severe incidents. This paper proposes and implements a recommendation system for each specific interval of time so that users must beware of each time interval of CO inhalation. This recommendation system can be used in medical diagnosis by the doctor during any health-related issue. The proposed system in this research paper creates storage on ThingSpeak channels that constantly updates the data from the CO sensors on the concentration of the CO gas. After that, continuous IoT analytics through MATLAB on Thingspeak sends a health recommendation for each specific time interval. This recommendation is made throughout the days hence behaves as an advisory system. Also, in this system, for a limited purpose, a specific alert message system is added through the IFTTT web service when the concentration of CO goes beyond the threshold value.
{"title":"IoT based recommendation system for healthcare due to inhalation of Carbon Monoxide","authors":"Vidyapati Jha, Priyanka Tripathi","doi":"10.1109/ICPC2T53885.2022.9777057","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777057","url":null,"abstract":"Carbon monoxide is a common byproduct of incomplete combustion of carbon materials. It is a toxic gas that causes headaches, nausea, and dizziness, as well as death in some cases. As a result, human safety and security in the presence of CO are critical. Apart from detection, designing a recommendation system for a long time carbon monoxide inhalation has, therefore, become very much vital to avoid such severe incidents. This paper proposes and implements a recommendation system for each specific interval of time so that users must beware of each time interval of CO inhalation. This recommendation system can be used in medical diagnosis by the doctor during any health-related issue. The proposed system in this research paper creates storage on ThingSpeak channels that constantly updates the data from the CO sensors on the concentration of the CO gas. After that, continuous IoT analytics through MATLAB on Thingspeak sends a health recommendation for each specific time interval. This recommendation is made throughout the days hence behaves as an advisory system. Also, in this system, for a limited purpose, a specific alert message system is added through the IFTTT web service when the concentration of CO goes beyond the threshold value.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121243964","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9777061
Sakthi Sundaram S, Kousik Ghosh, K. Hatua, A. Mitra
The Electric Vehicle (EV) disruption in the auto-motive market is quite evident in the present times. Functional safety is the prime requirement of the automotive market which have been achieved throughout the design and development of control board. The Power management integrated circuit (PMIC) is a System on a Chip (SoC) solution that have been used in the developed control board to meet the higher Automotive Safety Integrity Level (ASIL). This paper also focuses on addressing the different control aspect requirements for EV applications by utilizing the advantages of Digital Signal Processor (DSP) and Field Programmable Gate Array (FPGA). The advantages of digital power electronics control for high power density converters using soft Intel FPGA Intellectual Property (IP) cores are discussed.
{"title":"Design and Development of DSP-FPGA based Control Board for Electric Vehicle (EV) Applications","authors":"Sakthi Sundaram S, Kousik Ghosh, K. Hatua, A. Mitra","doi":"10.1109/ICPC2T53885.2022.9777061","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9777061","url":null,"abstract":"The Electric Vehicle (EV) disruption in the auto-motive market is quite evident in the present times. Functional safety is the prime requirement of the automotive market which have been achieved throughout the design and development of control board. The Power management integrated circuit (PMIC) is a System on a Chip (SoC) solution that have been used in the developed control board to meet the higher Automotive Safety Integrity Level (ASIL). This paper also focuses on addressing the different control aspect requirements for EV applications by utilizing the advantages of Digital Signal Processor (DSP) and Field Programmable Gate Array (FPGA). The advantages of digital power electronics control for high power density converters using soft Intel FPGA Intellectual Property (IP) cores are discussed.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121699268","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776973
Vikram Singh, Loveleen Kaur, J. Kumar, Amrita Singh
Renewable energy-based battery charging systems for Electric Vehicles (EV) have seen surge in automotive research in last few years. Solar PV-fed EVs are thoroughly examined in this research. Among the many benefits of using batteries to store energy in ground vehicles include zero emissions, load levelling, excellent transient functioning, and ability to recover energy while braking. To meet these criteria, bidirectional DC-DC converter is needed to connect PV to battery's dc-link. A PV-powered electric vehicle must be able to operate in two distinct modes: charging and discharging. Maximum Power Point Tracking (MPPT) technique is utilized in this study to harvest most power by solar PV. In addition, DC-DC converter with bidirectional output requires closed-loop control circuit which is proposed in this paper. MATLAB simulations are used to confirm system's efficacy.
{"title":"Solar PV Tied Electric Vehicle Charging System Using Bidirectional DC-DC Converter","authors":"Vikram Singh, Loveleen Kaur, J. Kumar, Amrita Singh","doi":"10.1109/ICPC2T53885.2022.9776973","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776973","url":null,"abstract":"Renewable energy-based battery charging systems for Electric Vehicles (EV) have seen surge in automotive research in last few years. Solar PV-fed EVs are thoroughly examined in this research. Among the many benefits of using batteries to store energy in ground vehicles include zero emissions, load levelling, excellent transient functioning, and ability to recover energy while braking. To meet these criteria, bidirectional DC-DC converter is needed to connect PV to battery's dc-link. A PV-powered electric vehicle must be able to operate in two distinct modes: charging and discharging. Maximum Power Point Tracking (MPPT) technique is utilized in this study to harvest most power by solar PV. In addition, DC-DC converter with bidirectional output requires closed-loop control circuit which is proposed in this paper. MATLAB simulations are used to confirm system's efficacy.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130922248","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}
Pub Date : 2022-03-01DOI: 10.1109/ICPC2T53885.2022.9776688
V. Meena, P. Naresh, Vinay Singh
This article presents a method for model order reduction (MOR) of Cuk converter in discrete domain. The MOR is obtained using time moments (TMs) and Markov parameters (MPs) matching. For this purpose, the expressions of TMs and MPs are derived in discrete domain. The state space averaging (SSA) method is exploited to compute transfer function of converter. Test system is included to illustrate the methodology of MOR. In the test case, the fourth-order system is reduced to first-order, second -order, and third -order models. To signify the efficacy of the method, step and impulse response are plotted for system and models. For a equitable comparative study, time domain specifications for lower limit (LL) and upper limit (UL) are presented. The results presented prove the effectiveness and applicability of the proposed method.
{"title":"Model Order Reduction of Cuk Converter in Discrete Domain using Time Moments and Markov Parameters","authors":"V. Meena, P. Naresh, Vinay Singh","doi":"10.1109/ICPC2T53885.2022.9776688","DOIUrl":"https://doi.org/10.1109/ICPC2T53885.2022.9776688","url":null,"abstract":"This article presents a method for model order reduction (MOR) of Cuk converter in discrete domain. The MOR is obtained using time moments (TMs) and Markov parameters (MPs) matching. For this purpose, the expressions of TMs and MPs are derived in discrete domain. The state space averaging (SSA) method is exploited to compute transfer function of converter. Test system is included to illustrate the methodology of MOR. In the test case, the fourth-order system is reduced to first-order, second -order, and third -order models. To signify the efficacy of the method, step and impulse response are plotted for system and models. For a equitable comparative study, time domain specifications for lower limit (LL) and upper limit (UL) are presented. The results presented prove the effectiveness and applicability of the proposed method.","PeriodicalId":283298,"journal":{"name":"2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130596369","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}
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