Pub Date : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404533
S. K. Prince, Shaik Affijulla, G. Panda
The fault current in DC microgrids changes quickly compared to conventional AC power systems. This is due to low passivity-based distributed energy resources in DC microgrids that transfer power through electronic converters. Additionally, due to the limited magnitude of fault current, fault detection and identification is an additional challenging task. This paper proposes a new effective protection system for rapid short-circuit detection and isolation of faults in a 9 bus DC microgrid system. This is accomplished by allowing, via a cumulative sum of differential forward and reverse current based method, the fault Isolation by a solid-state circuit breaker action. The faulty line is identified through boundary analysis of locally measured current and voltage signals. The defective branch is isolated by a trip at each node in the system. Finally, two tests of simulation results of the system under pole-pole fault in PSS®SINCAL have been designed which achieve the reliability of the method. The simulation result showed that the system fault can be isolated by a trip at each node in the system.
{"title":"Fault Detection in IEEE 9-Bus DC Microgrid System using Differential Current Method","authors":"S. K. Prince, Shaik Affijulla, G. Panda","doi":"10.1109/ICEPE50861.2021.9404533","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404533","url":null,"abstract":"The fault current in DC microgrids changes quickly compared to conventional AC power systems. This is due to low passivity-based distributed energy resources in DC microgrids that transfer power through electronic converters. Additionally, due to the limited magnitude of fault current, fault detection and identification is an additional challenging task. This paper proposes a new effective protection system for rapid short-circuit detection and isolation of faults in a 9 bus DC microgrid system. This is accomplished by allowing, via a cumulative sum of differential forward and reverse current based method, the fault Isolation by a solid-state circuit breaker action. The faulty line is identified through boundary analysis of locally measured current and voltage signals. The defective branch is isolated by a trip at each node in the system. Finally, two tests of simulation results of the system under pole-pole fault in PSS®SINCAL have been designed which achieve the reliability of the method. The simulation result showed that the system fault can be isolated by a trip at each node in the system.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"87 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125719210","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404489
Arbogast Nyandwi, Anurag Gupta, Dinesh Kumar, A. Ved
The utilization of diesel generators to provide power to the load demand on remote rural areas in Tanzania has extensively spread which results in a shortage of energy facilities. With increments in oil cost and the stresses over an unnatural weather change, the hybridization of the accessible sustainable assets with diesel generator has become a powerful answer for increment framework reliability for supplying the load demand. This work proposes an Adaptive Genetic Algorithm (AGA) based new methodology for the ideal structure of hybrid energy framework involving sunlight based PV, diesel generator, and battery associated frameworks for providing the electrical energy in remote rural areas. The proposed framework utilizes the meteorological information of sun-powered illuminations and temperature gathered from the meteorological site of Tanzania and real-time data from HOMER programming created by the National Renewable Energy Laboratory (NREL). Improvement of the Hybrid Energy System (HES) incorporates minimization of net present cost (NPC), diminished emanations of harmful gases in terms of CO2, NOx, and SOx which makes the system more economical as well as reliable for the residential household applications for remote rural areas. The optimized results were accomplished by utilizing AGA, which utilizes the factors, such as PV cluster ratings in terms of irradiation and temperature data, the number of battery banks, diesel generator appraised power, fuel cost, framework initialization cost, operation, and maintenance cost and emission constraints are considered as the input information chromosomes for the calculation. A reasonable AGA program based demand-side management (DSM) was defined utilizing MATLAB tool kit with the target capacity of limiting the net present expense and emissions of gases which leads to maximization of system reliability of the proposed HES for electrifying the rural areas in independent applications.
{"title":"Design Optimization Analysis Based On Demand Side Management of a Stand-alone Hybrid Power System Using Genetic Algorithm for Remote Rural Electrification","authors":"Arbogast Nyandwi, Anurag Gupta, Dinesh Kumar, A. Ved","doi":"10.1109/ICEPE50861.2021.9404489","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404489","url":null,"abstract":"The utilization of diesel generators to provide power to the load demand on remote rural areas in Tanzania has extensively spread which results in a shortage of energy facilities. With increments in oil cost and the stresses over an unnatural weather change, the hybridization of the accessible sustainable assets with diesel generator has become a powerful answer for increment framework reliability for supplying the load demand. This work proposes an Adaptive Genetic Algorithm (AGA) based new methodology for the ideal structure of hybrid energy framework involving sunlight based PV, diesel generator, and battery associated frameworks for providing the electrical energy in remote rural areas. The proposed framework utilizes the meteorological information of sun-powered illuminations and temperature gathered from the meteorological site of Tanzania and real-time data from HOMER programming created by the National Renewable Energy Laboratory (NREL). Improvement of the Hybrid Energy System (HES) incorporates minimization of net present cost (NPC), diminished emanations of harmful gases in terms of CO2, NOx, and SOx which makes the system more economical as well as reliable for the residential household applications for remote rural areas. The optimized results were accomplished by utilizing AGA, which utilizes the factors, such as PV cluster ratings in terms of irradiation and temperature data, the number of battery banks, diesel generator appraised power, fuel cost, framework initialization cost, operation, and maintenance cost and emission constraints are considered as the input information chromosomes for the calculation. A reasonable AGA program based demand-side management (DSM) was defined utilizing MATLAB tool kit with the target capacity of limiting the net present expense and emissions of gases which leads to maximization of system reliability of the proposed HES for electrifying the rural areas in independent applications.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126931978","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404468
S. Karmakar, Bhim Singh
The installation of large-scale solar PV plants has been increasing rapidly worldwide, and its integration presents the electricity grid with new technical challenges, as a solar panel power plant fluctuates rapidly with the movement of clouds in the sky. One of the possible and widely adopted solutions to mitigate the large fluctuation in power generation is integrating large-size battery energy storage (BES) with the solar PV plant. In this paper, an MW size fundamental-switched voltage source converter (VSC) is used in the power conditioning system (PCS) of battery energy storage (BES) for the integration of a large-scale PV plant with the grid. The BES is used to make PV plant power dispatchable by mitigating the short-term power fluctuations due to clouds' movement. For the solar PV plant power generation smoothening, a simple moving average (SMA) algorithm with a battery state of charge (SOC) control (SMA-SOC algorithm) is used in BES. In the Matlab/Simulink environment, a 10 MW solar PV plant with 5MW/2.5 MWh BES configuration is realized and then implemented in an OPAL-RT real-time simulator to validate the concept.
{"title":"Battery Energy Storage (BES) for Mitigation of Short-Term Power Fluctuations in Large-Scale Solar PV Plant Due to Cloud Movement","authors":"S. Karmakar, Bhim Singh","doi":"10.1109/ICEPE50861.2021.9404468","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404468","url":null,"abstract":"The installation of large-scale solar PV plants has been increasing rapidly worldwide, and its integration presents the electricity grid with new technical challenges, as a solar panel power plant fluctuates rapidly with the movement of clouds in the sky. One of the possible and widely adopted solutions to mitigate the large fluctuation in power generation is integrating large-size battery energy storage (BES) with the solar PV plant. In this paper, an MW size fundamental-switched voltage source converter (VSC) is used in the power conditioning system (PCS) of battery energy storage (BES) for the integration of a large-scale PV plant with the grid. The BES is used to make PV plant power dispatchable by mitigating the short-term power fluctuations due to clouds' movement. For the solar PV plant power generation smoothening, a simple moving average (SMA) algorithm with a battery state of charge (SOC) control (SMA-SOC algorithm) is used in BES. In the Matlab/Simulink environment, a 10 MW solar PV plant with 5MW/2.5 MWh BES configuration is realized and then implemented in an OPAL-RT real-time simulator to validate the concept.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124868463","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404485
Manikanchan Mandal, D. Bose, C. K. Chanda
As the Power System Network/Infrastructure is continuously growing, so does its complexity. As a result, it is more prone to various adverse events which leads to disruption of power flow or continuity. In this paper an approach towards the power system resiliency has been tried with the help of betweenness centrality and minimum spanning tree concept of graph theory. Betweenness centrality of a power system network have been considered here to analyze resiliency of the system in order to find the most critical bus(es) or node(s) and along with that minimum spanning tree based on active power flow has been taken to find out the critical lines, so that what are the effects towards its associated transmission line(s) can be observed precisely. Also, the critical transmission lines based on Minimum Spanning Tree have been taken into consideration in order to harden them. In order to implement these simulations have been carried out on IEEE 57 Bus System.
{"title":"Assessment of Resiliency by incorporating DGs in Power Network using Graph Theoretic Approach","authors":"Manikanchan Mandal, D. Bose, C. K. Chanda","doi":"10.1109/ICEPE50861.2021.9404485","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404485","url":null,"abstract":"As the Power System Network/Infrastructure is continuously growing, so does its complexity. As a result, it is more prone to various adverse events which leads to disruption of power flow or continuity. In this paper an approach towards the power system resiliency has been tried with the help of betweenness centrality and minimum spanning tree concept of graph theory. Betweenness centrality of a power system network have been considered here to analyze resiliency of the system in order to find the most critical bus(es) or node(s) and along with that minimum spanning tree based on active power flow has been taken to find out the critical lines, so that what are the effects towards its associated transmission line(s) can be observed precisely. Also, the critical transmission lines based on Minimum Spanning Tree have been taken into consideration in order to harden them. In order to implement these simulations have been carried out on IEEE 57 Bus System.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123645371","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404507
Sumana Das, Subir Datta, L. Saikia
This article briefs about an evaluation of dynamic impact of capacitive energy storage (CES) in load frequency control (LFC) in a renewable energy based three area power system. The proposed power system model consists of Thermal and solar thermal power plant in area 1, Thermal and wind plant in area 2, Thermal and Photovoltaic plant in area 3. The areas are interconnected through AC/DC tie line. In this study nonlinearities such as governor dead band and generation rate constraints are considered for thermal generating unit. Tilted-integral-derivative with filter (TIDF) controller is taken as a secondary controller. The system dynamic responses such a frequency deviation, tie power deviation and settling time of the proposed system are compared with and without CES with different types of controller. The simulated results showed that with the coordinated action of CES with proposed secondary controller the system dynamic performances have improved.
{"title":"Effect of CES on Load Frequency Control in Multiarea AC/DC Interconnected System","authors":"Sumana Das, Subir Datta, L. Saikia","doi":"10.1109/ICEPE50861.2021.9404507","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404507","url":null,"abstract":"This article briefs about an evaluation of dynamic impact of capacitive energy storage (CES) in load frequency control (LFC) in a renewable energy based three area power system. The proposed power system model consists of Thermal and solar thermal power plant in area 1, Thermal and wind plant in area 2, Thermal and Photovoltaic plant in area 3. The areas are interconnected through AC/DC tie line. In this study nonlinearities such as governor dead band and generation rate constraints are considered for thermal generating unit. Tilted-integral-derivative with filter (TIDF) controller is taken as a secondary controller. The system dynamic responses such a frequency deviation, tie power deviation and settling time of the proposed system are compared with and without CES with different types of controller. The simulated results showed that with the coordinated action of CES with proposed secondary controller the system dynamic performances have improved.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122079124","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404433
S. Manglik, Aryadip Sen, Bhim Singh, B. K. Panigrahi
A low power brushless DC (BLDC) motor drive for domestic flour mill is manifested here. A soft starting based motion sensorless speed control algorithm for BLDC motor fed flour mill is implemented here as the large speed variation is the key challenge for a flour mill application. The implemented sensorless control is tolerant enough to control the current variation in position sensorless mode due to intermittent load variation of the flour mill. The sensorless control used here is insensitive to the switching noise and separate filtration for this not needed. Good rotor position estimation is achieved in wide speed range using the implemented sensorless control. A single DC link current sensor is used for the current control in sensorless starting and load variation. A boost converter based power factor correction is implemented her for maintaining the grid side power quality. The developed sensolress control algorithm is the motor model independent and no parameter estimation is required. The stability and reliability of this system is validated using both simulation and experimental test results.
{"title":"Low Power Sensorless PMBLDC Motor Drive with PFC for Domestic Flour Mill","authors":"S. Manglik, Aryadip Sen, Bhim Singh, B. K. Panigrahi","doi":"10.1109/ICEPE50861.2021.9404433","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404433","url":null,"abstract":"A low power brushless DC (BLDC) motor drive for domestic flour mill is manifested here. A soft starting based motion sensorless speed control algorithm for BLDC motor fed flour mill is implemented here as the large speed variation is the key challenge for a flour mill application. The implemented sensorless control is tolerant enough to control the current variation in position sensorless mode due to intermittent load variation of the flour mill. The sensorless control used here is insensitive to the switching noise and separate filtration for this not needed. Good rotor position estimation is achieved in wide speed range using the implemented sensorless control. A single DC link current sensor is used for the current control in sensorless starting and load variation. A boost converter based power factor correction is implemented her for maintaining the grid side power quality. The developed sensolress control algorithm is the motor model independent and no parameter estimation is required. The stability and reliability of this system is validated using both simulation and experimental test results.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123408332","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404384
N. Babu, L. Saikia, S. K. Bhagat, Satish Kumar Ramoji, D. Raja, M. Behera
This article demonstrates the impact of redox flow battery (RFB) and wind systems (WS) on a two-area LFC system. Area-1, 2 comprises of WS-thermal units. A maiden effort was made to utilize integral minus tilt derivative (I-TD) as a secondary controller in LFC studies. The I-TD gains are optimized by an algorithm named by crow search optimization (CSO) technique. Performance comparisons of I-TD with PID, TID are found to be better. Moreover, comparative studies are conducted with random and fixed wind velocities of WS. Further the system with integration of WS, AC-HVDC and RFB show better dynamics over thermal alone. Furthermore, the optimal location of RFB is also found in the disturbance located control area.
{"title":"Impact of Wind System and Redox Flow Batteries on LFC Studies under Deregulated Scenario","authors":"N. Babu, L. Saikia, S. K. Bhagat, Satish Kumar Ramoji, D. Raja, M. Behera","doi":"10.1109/ICEPE50861.2021.9404384","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404384","url":null,"abstract":"This article demonstrates the impact of redox flow battery (RFB) and wind systems (WS) on a two-area LFC system. Area-1, 2 comprises of WS-thermal units. A maiden effort was made to utilize integral minus tilt derivative (I-TD) as a secondary controller in LFC studies. The I-TD gains are optimized by an algorithm named by crow search optimization (CSO) technique. Performance comparisons of I-TD with PID, TID are found to be better. Moreover, comparative studies are conducted with random and fixed wind velocities of WS. Further the system with integration of WS, AC-HVDC and RFB show better dynamics over thermal alone. Furthermore, the optimal location of RFB is also found in the disturbance located control area.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116552751","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404453
S. Das, P. Ray, A. Mohanty, G. Panda
In this work a photovoltaic (PV) and battery storage system (BSS) based microgrid (MG) integrated with shunt hybrid active filter (SHAF) is proposed for power quality (PQ) enhancement in three phase system. The proposed system is developed to reduce harmonics and manage the reactive power in the power system. For tracking the maximum power in the PV array, a novel self-tuned perturbs and observe (SPO) algorithm is employed. The SHAF employs a maximize M Kalman filter (MMKF) for reference current estimation and hysteresis current control (HCC) for switching signal generation. The proposed system is compared with the traditional Kalman Filter using MATLAB/Simulink tool.
{"title":"Power Quality Enhancement in PV and Battery Storage Based Microgrid Using Hybrid Active Filter","authors":"S. Das, P. Ray, A. Mohanty, G. Panda","doi":"10.1109/ICEPE50861.2021.9404453","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404453","url":null,"abstract":"In this work a photovoltaic (PV) and battery storage system (BSS) based microgrid (MG) integrated with shunt hybrid active filter (SHAF) is proposed for power quality (PQ) enhancement in three phase system. The proposed system is developed to reduce harmonics and manage the reactive power in the power system. For tracking the maximum power in the PV array, a novel self-tuned perturbs and observe (SPO) algorithm is employed. The SHAF employs a maximize M Kalman filter (MMKF) for reference current estimation and hysteresis current control (HCC) for switching signal generation. The proposed system is compared with the traditional Kalman Filter using MATLAB/Simulink tool.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"134 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120850893","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404431
Kishore Bingi, P. Devan, B. Prusty
This paper focuses on designing a complex fractional differentiator for the order $alpha+jbeta$. An approximation technique using curve fitting based iterative algorithm is proposed for the implementation of these differentiators. Furthermore, the development of various complex fractional-order filters, namely low-pass, high-pass, band-pass, and all-pass, is presented. Bode diagrams from the results show that the proposed filters have produced a similar behavior to the conventional and fractional filter. Similarly, Bode diagrams of approximated filters using the proposed technique also confirms the achievement of similar behavior to the traditional and fractional filter. The step response on the process plant also proved that the fractional low-pass filter with complex order accomplished well on filtering the noise signal.
{"title":"Design and Analysis of Fractional Filters with Complex Orders","authors":"Kishore Bingi, P. Devan, B. Prusty","doi":"10.1109/ICEPE50861.2021.9404431","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404431","url":null,"abstract":"This paper focuses on designing a complex fractional differentiator for the order $alpha+jbeta$. An approximation technique using curve fitting based iterative algorithm is proposed for the implementation of these differentiators. Furthermore, the development of various complex fractional-order filters, namely low-pass, high-pass, band-pass, and all-pass, is presented. Bode diagrams from the results show that the proposed filters have produced a similar behavior to the conventional and fractional filter. Similarly, Bode diagrams of approximated filters using the proposed technique also confirms the achievement of similar behavior to the traditional and fractional filter. The step response on the process plant also proved that the fractional low-pass filter with complex order accomplished well on filtering the noise signal.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"4 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120918535","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 : 2021-03-05DOI: 10.1109/ICEPE50861.2021.9404393
Utkal Ranjan Muduli, Bheemaiah Chikondra, R. Behera
The common-mode voltage (CMV) is a significant problem for the two-level VSI fed motor drive because it causes winding insulation failure and bearing destruction. In this paper, the impact of CMV is studied using a five-phase two-level voltage source inverter (FPTL-VSI) fed five-phase induction motor drive. For FPTL-VSI, the CMV cannot be completely canceled out, but it can be reduced by using appropriate switching vector selection. In this paper, a Virtual Vector (VV) based direct torque control (DTC) method for near-constant switching frequency is developed to improve CMV. A CMV is reduced by 80% when compared to its peak value under the proposed VVDTC scheme. This technique analyzes the response of the resultant speed and torque of the voltage vector across a wide range of speeds using a volt-second balancing method. The high-powered FPIM drive laboratory prototype is used to validate the proposed controller experimentally over a wide range of speeds.
{"title":"Virtual Vector based DTC with CMV Reduction for Five-Phase Induction Motor Drive","authors":"Utkal Ranjan Muduli, Bheemaiah Chikondra, R. Behera","doi":"10.1109/ICEPE50861.2021.9404393","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404393","url":null,"abstract":"The common-mode voltage (CMV) is a significant problem for the two-level VSI fed motor drive because it causes winding insulation failure and bearing destruction. In this paper, the impact of CMV is studied using a five-phase two-level voltage source inverter (FPTL-VSI) fed five-phase induction motor drive. For FPTL-VSI, the CMV cannot be completely canceled out, but it can be reduced by using appropriate switching vector selection. In this paper, a Virtual Vector (VV) based direct torque control (DTC) method for near-constant switching frequency is developed to improve CMV. A CMV is reduced by 80% when compared to its peak value under the proposed VVDTC scheme. This technique analyzes the response of the resultant speed and torque of the voltage vector across a wide range of speeds using a volt-second balancing method. The high-powered FPIM drive laboratory prototype is used to validate the proposed controller experimentally over a wide range of speeds.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133678204","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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