Pub Date : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060088
Prashant K. Aher, S. Patil, Ameya V Gambhir, Abhishek Mandhana, A. Deshpande, S. Pandey
This paper presents an extended Kalman filter (EKF) to estimate the state of charge (SOC) of series connected battery pack considering different practical aspects. Modeling is done to determine how capacity and resistance changes at the cell level affect battery pack performance. Experimental current and voltage of Li-ion cell along with the nonlinear least square method are used to obtain optimized model parameters, which can reduce the computation time as compared to identifying them in real time. The proposed EKF can reduce computation and complexity from a hardware deployment point of view by using an algorithm iteratively for all cells in the battery pack. The efficiency of proposed method is evaluated by simulating different real time scenarios in MATLAB. Impact of unequal charge distribution among different cells to decide battery pack SOC is analyzed. Performance of the proposed EKF for SOC estimation is found to be improved with reduced complexity and computations.
{"title":"Lithium-Ion Battery Pack SOC Estimation using Optimized ECM Parameters and Kalman Filter","authors":"Prashant K. Aher, S. Patil, Ameya V Gambhir, Abhishek Mandhana, A. Deshpande, S. Pandey","doi":"10.1109/ICPEE54198.2023.10060088","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060088","url":null,"abstract":"This paper presents an extended Kalman filter (EKF) to estimate the state of charge (SOC) of series connected battery pack considering different practical aspects. Modeling is done to determine how capacity and resistance changes at the cell level affect battery pack performance. Experimental current and voltage of Li-ion cell along with the nonlinear least square method are used to obtain optimized model parameters, which can reduce the computation time as compared to identifying them in real time. The proposed EKF can reduce computation and complexity from a hardware deployment point of view by using an algorithm iteratively for all cells in the battery pack. The efficiency of proposed method is evaluated by simulating different real time scenarios in MATLAB. Impact of unequal charge distribution among different cells to decide battery pack SOC is analyzed. Performance of the proposed EKF for SOC estimation is found to be improved with reduced complexity and computations.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116190284","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10059865
A. Chakraborty, S. Chatterjee, R. Mandal
In the present work, autocorrelation aided deep learning framework for islanding detection in grid connected distributed generation system is proposed. For this purpose, islanding along with other transient events were simulated on a grid connected power system network with DG penetration. For each case, negative sequence voltage signals obtained at the point of common connection were used to determine the sequence components of the autocorrelation function. From the autocorrelation sequences representing each type of transient event, 36 features were extracted. The obtained feature vectors were fed as inputs to a bi-directional longshort type memory network classifier for classification of islanding and other events. It has been examined that the suggested methodology has resulted in 99.01% accuracy in discriminating islanding from non-islanding events. Besides, for the multiclass classification, a mean accuracy of 98.50% is obtained. Comparative studies with machine learning classifiers indicated that the result of the suggested methodology is better. The proposed model can be used for accurate prediction and classification of islanding and other transient events in power system network.
{"title":"Autocorrelation Aided Islanding Detection Using bi-directional Long-short Type Memory Network","authors":"A. Chakraborty, S. Chatterjee, R. Mandal","doi":"10.1109/ICPEE54198.2023.10059865","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10059865","url":null,"abstract":"In the present work, autocorrelation aided deep learning framework for islanding detection in grid connected distributed generation system is proposed. For this purpose, islanding along with other transient events were simulated on a grid connected power system network with DG penetration. For each case, negative sequence voltage signals obtained at the point of common connection were used to determine the sequence components of the autocorrelation function. From the autocorrelation sequences representing each type of transient event, 36 features were extracted. The obtained feature vectors were fed as inputs to a bi-directional longshort type memory network classifier for classification of islanding and other events. It has been examined that the suggested methodology has resulted in 99.01% accuracy in discriminating islanding from non-islanding events. Besides, for the multiclass classification, a mean accuracy of 98.50% is obtained. Comparative studies with machine learning classifiers indicated that the result of the suggested methodology is better. The proposed model can be used for accurate prediction and classification of islanding and other transient events in power system network.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134225535","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060048
S. Shukla, M. Manohar, C. Patel, T. Tailor, Arun Rathore
The current transmission infrastructure must be able to transmit more electricity due to the alarming increase in energy consumption. Instead of relying on the constraints of three-phase double-circuit lines to meet the growing power needs, a new generation of six-phase transmission systems has emerged as a potential solution. The protection challenges with six-phase transmission systems are exceptionally challenging, however, because of the enormous number of probable flaws. Given the advantages of six-phase systems over three-phase systems in meeting rising power demands and the dearth of existing protection schemes for six-phase lines, there is room for the development of a consistent protection scheme for a six-phase system that can satisfactorily perform the proposed protection tasks under a wide range of operating contingencies. To that end, this research proposes a novel protection strategy based on an ensemble of decision trees and the S-transform. To train the fault detector/classifier, the estimated frequency and phase of the current signals in real time have been utilised as input characteristics, and the S-transform has been used to do so. With a one-cycle moving window, it is feasible to estimate the input characteristics in a recursive fashion. To ensure the anticipated scheme is applicable to a six-phase system, it has been subjected to extensive simulations of a variety of fault conditions with a broad range of fault characteristics. The proposed relaying approach can reliably detect and classify issues in a single cycle across all test cases.
{"title":"A Combined S-transform and Ensemble of DT based Protection scheme for six-phase transmission line","authors":"S. Shukla, M. Manohar, C. Patel, T. Tailor, Arun Rathore","doi":"10.1109/ICPEE54198.2023.10060048","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060048","url":null,"abstract":"The current transmission infrastructure must be able to transmit more electricity due to the alarming increase in energy consumption. Instead of relying on the constraints of three-phase double-circuit lines to meet the growing power needs, a new generation of six-phase transmission systems has emerged as a potential solution. The protection challenges with six-phase transmission systems are exceptionally challenging, however, because of the enormous number of probable flaws. Given the advantages of six-phase systems over three-phase systems in meeting rising power demands and the dearth of existing protection schemes for six-phase lines, there is room for the development of a consistent protection scheme for a six-phase system that can satisfactorily perform the proposed protection tasks under a wide range of operating contingencies. To that end, this research proposes a novel protection strategy based on an ensemble of decision trees and the S-transform. To train the fault detector/classifier, the estimated frequency and phase of the current signals in real time have been utilised as input characteristics, and the S-transform has been used to do so. With a one-cycle moving window, it is feasible to estimate the input characteristics in a recursive fashion. To ensure the anticipated scheme is applicable to a six-phase system, it has been subjected to extensive simulations of a variety of fault conditions with a broad range of fault characteristics. The proposed relaying approach can reliably detect and classify issues in a single cycle across all test cases.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116784069","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060750
L. Nanda, S. Mandal, A. Priya, Arjyadhara Pradhan, C. Jena, Babita Panda
This paper deals with the design and simulation of a simple but efficient photovoltaic system with boost converter. One type of renewable energy source is the solar energy in which the PV arrays are used for generation of electrical power. The PV cell converts solar energy into electrical energy. The performance of the PV Module is sometimes affected by temperature, solar insolation, shading & array configuration.In this paper the PV model with boost converter and MPPT has been discussed. MPPT is used to track the maximum power in the I-V and P-V curves at different insolation levels. This leads to the generation of more efficient electrical power which can be supplied to either utilities or for household purposes. By using the MATLAB simulation software the design of an boost converter with proposed MPPT algorithm for photovoltaic (PV) application is simulated for different types of irradiation.
{"title":"Solar Photo Voltaic Panel Interfaced Boost Converter with MPPT Algorithm at Various Climatic Conditions","authors":"L. Nanda, S. Mandal, A. Priya, Arjyadhara Pradhan, C. Jena, Babita Panda","doi":"10.1109/ICPEE54198.2023.10060750","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060750","url":null,"abstract":"This paper deals with the design and simulation of a simple but efficient photovoltaic system with boost converter. One type of renewable energy source is the solar energy in which the PV arrays are used for generation of electrical power. The PV cell converts solar energy into electrical energy. The performance of the PV Module is sometimes affected by temperature, solar insolation, shading & array configuration.In this paper the PV model with boost converter and MPPT has been discussed. MPPT is used to track the maximum power in the I-V and P-V curves at different insolation levels. This leads to the generation of more efficient electrical power which can be supplied to either utilities or for household purposes. By using the MATLAB simulation software the design of an boost converter with proposed MPPT algorithm for photovoltaic (PV) application is simulated for different types of irradiation.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123539667","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060850
S. R. Mallick, V. Goswami, Rudranarayan Dash, R. K. Lenka, S. Sharma, Rabindra Kumar Barik
Most IoT-enabled smart grids are centralized. Blockchain-based decentralized systems are secure, private, transparent, stable, and auditable. Since Blockchain transactions are immutable, energy trade and tracking are more straightforward. Scalable connection and access control management are implemented in these networks through the queueing concept. By keeping this in mind, the present article proposes a priorityreservation queueing-based analytical model for Blockchain-assisted smart grid systems to facilitate easy accessibility between consumers and distributors. We also present various numerical findings to illustrate the effectiveness of the proposed system.
{"title":"A priority-reservation queueing-based approach for Blockchain-assisted smart-grid system","authors":"S. R. Mallick, V. Goswami, Rudranarayan Dash, R. K. Lenka, S. Sharma, Rabindra Kumar Barik","doi":"10.1109/ICPEE54198.2023.10060850","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060850","url":null,"abstract":"Most IoT-enabled smart grids are centralized. Blockchain-based decentralized systems are secure, private, transparent, stable, and auditable. Since Blockchain transactions are immutable, energy trade and tracking are more straightforward. Scalable connection and access control management are implemented in these networks through the queueing concept. By keeping this in mind, the present article proposes a priorityreservation queueing-based analytical model for Blockchain-assisted smart grid systems to facilitate easy accessibility between consumers and distributors. We also present various numerical findings to illustrate the effectiveness of the proposed system.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130916853","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10059766
Nawin Ra, A. Bhattacharjee
Vanadium Redox Flow Battery (VRFB) storage is getting prominence due to its long life cycle. In addition, the unique feature offered by VRFB storage in scaling the power capacity and energy capacity individually has also assisted the rising large scale implementation of VRFB storage as a replacement to the existing energy storage technologies. The proposed work describes the optimization of overall power loss of the VRFB system using Genetic Algorithm (GA) for the first time. Stack power loss and pump power loss are both taken into account at the same time during the multi-variable optimization. The proposed work has been validated by charge-discharge operation data set of a practical 1kW6h VRFB system using four distinct electrolyte flow rates. From the GA based optimization, it has been found that an optimal flow rate of around 6 L/min results in the lowest overall VRFB system power loss for the stack currents of 40A and 50A. The proposed topology can be highly effective for increasing the overall efficiency of scalable VRFB storage, hence assuring the dependability of VRFB integrated power system applications.
{"title":"Vanadium Redox Flow Battery System Power Loss Optimization: Genetic Algorithm based Approach","authors":"Nawin Ra, A. Bhattacharjee","doi":"10.1109/ICPEE54198.2023.10059766","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10059766","url":null,"abstract":"Vanadium Redox Flow Battery (VRFB) storage is getting prominence due to its long life cycle. In addition, the unique feature offered by VRFB storage in scaling the power capacity and energy capacity individually has also assisted the rising large scale implementation of VRFB storage as a replacement to the existing energy storage technologies. The proposed work describes the optimization of overall power loss of the VRFB system using Genetic Algorithm (GA) for the first time. Stack power loss and pump power loss are both taken into account at the same time during the multi-variable optimization. The proposed work has been validated by charge-discharge operation data set of a practical 1kW6h VRFB system using four distinct electrolyte flow rates. From the GA based optimization, it has been found that an optimal flow rate of around 6 L/min results in the lowest overall VRFB system power loss for the stack currents of 40A and 50A. The proposed topology can be highly effective for increasing the overall efficiency of scalable VRFB storage, hence assuring the dependability of VRFB integrated power system applications.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127483196","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060751
S. Deb, Dacheng Li, Sunanda Sinha, Prashant Malik, Gautam Raina, Jihong Wang
Globally, this century is the time of localized energy system that are smart and considers cogeneration and considering digitalization as well as decarbonization. Local energy Systems (LES) across the world connected at power distribution level aim to generate and use energy locally thereby reducing the pressure on power transmission infrastructures. LES ameliorate fuel poverty, assists community income generation, improve network management, and reduce operating cost. A surge in LES deployment has been intensively examined in recent era. This work intents to deliver a comprehensive and systematic overview of LES with special focus on the modelling of LES, tools for modelling LES, pilot projects on LES. It is expected that this review will endow the research community with the latest findings in the paradigm of LES.
{"title":"Local Energy System: A Comprehensive Review of Modelling, Tools and Pilot Projects","authors":"S. Deb, Dacheng Li, Sunanda Sinha, Prashant Malik, Gautam Raina, Jihong Wang","doi":"10.1109/ICPEE54198.2023.10060751","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060751","url":null,"abstract":"Globally, this century is the time of localized energy system that are smart and considers cogeneration and considering digitalization as well as decarbonization. Local energy Systems (LES) across the world connected at power distribution level aim to generate and use energy locally thereby reducing the pressure on power transmission infrastructures. LES ameliorate fuel poverty, assists community income generation, improve network management, and reduce operating cost. A surge in LES deployment has been intensively examined in recent era. This work intents to deliver a comprehensive and systematic overview of LES with special focus on the modelling of LES, tools for modelling LES, pilot projects on LES. It is expected that this review will endow the research community with the latest findings in the paradigm of LES.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114379997","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10060705
A. K. Parida, A. Mohapatra, Rudra Narayan Das, Chidurala Saiprakash, Sarita Samal, Ranjeeta Patel
The main hindrance in the PV array that reduces its effectiveness is partial shading. During partial shading condition (PSC), PV array obtain non-uniform irradiance, resulting in mismatch loss in series connected PV modules. To compensate for the consequences of partial shading on the PV array, physical relocation techniques are used. This paper, proposed a puzzlebased arrangement (PBA) physical reconfiguration technique. The sole motive of this work is to reduce the effect of partial shading and to enhance the power of the PV array. The outcomes of the proposed PBA physical reconfiguration is analysed and evaluated against the conventional array configurations under different shading patterns. The outcomes of all the configurations are investigated in MATLAB Simulink and analysed on the basis of Fill Factor, Mismatch Loss and Global Maximum power.
{"title":"Power Enhancement of Solar PV Array Under PSC by Puzzle Based Arrangement","authors":"A. K. Parida, A. Mohapatra, Rudra Narayan Das, Chidurala Saiprakash, Sarita Samal, Ranjeeta Patel","doi":"10.1109/ICPEE54198.2023.10060705","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10060705","url":null,"abstract":"The main hindrance in the PV array that reduces its effectiveness is partial shading. During partial shading condition (PSC), PV array obtain non-uniform irradiance, resulting in mismatch loss in series connected PV modules. To compensate for the consequences of partial shading on the PV array, physical relocation techniques are used. This paper, proposed a puzzlebased arrangement (PBA) physical reconfiguration technique. The sole motive of this work is to reduce the effect of partial shading and to enhance the power of the PV array. The outcomes of the proposed PBA physical reconfiguration is analysed and evaluated against the conventional array configurations under different shading patterns. The outcomes of all the configurations are investigated in MATLAB Simulink and analysed on the basis of Fill Factor, Mismatch Loss and Global Maximum power.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123996523","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 : 2023-01-03DOI: 10.1109/icpee54198.2023.10059770
{"title":"ICPEE 2023 Cover Page","authors":"","doi":"10.1109/icpee54198.2023.10059770","DOIUrl":"https://doi.org/10.1109/icpee54198.2023.10059770","url":null,"abstract":"","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122914895","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 : 2023-01-03DOI: 10.1109/ICPEE54198.2023.10059912
Shubham T. Kamble, H. B. Gobburi, V. Borghate
The proposed reliable multi-level inverter with the fault tolerant operation. The topology is with an asymmetrical source combination and the source ratio is 3:1. Under normal conditions, the topology develops a nine-level output voltage waveform with eight switches in which seven switches are unidirectional and one switch is bidirectional. The open-circuit fault is the most common fault which occurs due to the fault in the gate drive circuit. The magnitude of output voltage and level fall from nine to the five level when the fault occurs in the unidirectional switches and output voltage falls to three level when the fault is in the bi-directional switch. To maintain rated output voltage, the tap-changing transformer is placed between the inverter output and load. The presented multilevel inverter topology is simulated in MATLAB Simulink.
{"title":"Reliable Multilevel Inverter Topology using two DC Sources.","authors":"Shubham T. Kamble, H. B. Gobburi, V. Borghate","doi":"10.1109/ICPEE54198.2023.10059912","DOIUrl":"https://doi.org/10.1109/ICPEE54198.2023.10059912","url":null,"abstract":"The proposed reliable multi-level inverter with the fault tolerant operation. The topology is with an asymmetrical source combination and the source ratio is 3:1. Under normal conditions, the topology develops a nine-level output voltage waveform with eight switches in which seven switches are unidirectional and one switch is bidirectional. The open-circuit fault is the most common fault which occurs due to the fault in the gate drive circuit. The magnitude of output voltage and level fall from nine to the five level when the fault occurs in the unidirectional switches and output voltage falls to three level when the fault is in the bi-directional switch. To maintain rated output voltage, the tap-changing transformer is placed between the inverter output and load. The presented multilevel inverter topology is simulated in MATLAB Simulink.","PeriodicalId":250652,"journal":{"name":"2023 International Conference on Power Electronics and Energy (ICPEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130102083","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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