Pub Date : 2020-02-01DOI: 10.1109/PIICON49524.2020.9112871
Vinit Srivastava, Bharat Singh Rajpurohit, M. Kaur
Water drops, snow, ice and pollution or their mixture on the surface of insulator affect the insulator performance and results in electrical breakdown of insulator. In last few decades, hydrophobicity and icephobicity is the utmost need to the surface of the insulators but under various environmental circumstances the properties of these surface changes and leads to deterioration of it. In this work, two cases have been analyzed to perceive the electric field dependent behavior of insulators in presence of humidity in the air and the presence of snowflake interactions with the dust, water, and surface roughness has also been investigated to understand the field dependent behavior of it. The results show distortion in the surface electric field resulting into localized electric filed intensification under both cases of investigation. The electrostatic forces playing a major role in initializing all field intensification at the triple point junction of drops and at the edges of the snowflake during interaction in presence of all other environmental conditions.
{"title":"Numerical Analysis on Factors Affecting Hydrophobicity and Icephobicity of the High Voltage Insulator","authors":"Vinit Srivastava, Bharat Singh Rajpurohit, M. Kaur","doi":"10.1109/PIICON49524.2020.9112871","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9112871","url":null,"abstract":"Water drops, snow, ice and pollution or their mixture on the surface of insulator affect the insulator performance and results in electrical breakdown of insulator. In last few decades, hydrophobicity and icephobicity is the utmost need to the surface of the insulators but under various environmental circumstances the properties of these surface changes and leads to deterioration of it. In this work, two cases have been analyzed to perceive the electric field dependent behavior of insulators in presence of humidity in the air and the presence of snowflake interactions with the dust, water, and surface roughness has also been investigated to understand the field dependent behavior of it. The results show distortion in the surface electric field resulting into localized electric filed intensification under both cases of investigation. The electrostatic forces playing a major role in initializing all field intensification at the triple point junction of drops and at the edges of the snowflake during interaction in presence of all other environmental conditions.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120981829","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 : 2020-02-01DOI: 10.1109/PIICON49524.2020.9112965
M. Bajaj, A. Singh
In this work, an energy-efficient and reliable model of photovoltaic based single phase Dynamic Voltage Restorer (DVR) is proposed in order to mitigate severe voltage sags, swells, and interruptions affecting the sensitive equipment connected in low voltage distribution side. In case of short or long duration interruption, it can fulfil the load power requirement acting as a UPS. Fuzzy logic controlled novel boost inverter improves overall efficiency and dynamic performance of the DVR system. Further, it is also designed to solve the voltage quality problem of distribution system with the minimum usage of energy from the utility grid and in the most efficient way by making optimal usage of solar energy. The proposed DVR system model involves two PV systems with low power DC to DC converter, chargeable batteries, switches, fuzzy logic controlled SPWM based boost inverter implemented by two DC to DC boost converters and one injection transformer for each phase under sag/swell. The results obtained after simulation verifies the effectiveness of the proposed model of DVR in recovering the voltage sag/swell and interruption on the low voltage side of the distribution. The DVR model proposed is found capable of recovering voltage sag up to 0.1 p.u. and swell up to 1.9 p.u. of pre-sag voltage.
{"title":"Designing of a Solar Energy based Single Phase Dynamic Voltage Restorer using Fuzzy Logic Controlled Novel Boost Inverter","authors":"M. Bajaj, A. Singh","doi":"10.1109/PIICON49524.2020.9112965","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9112965","url":null,"abstract":"In this work, an energy-efficient and reliable model of photovoltaic based single phase Dynamic Voltage Restorer (DVR) is proposed in order to mitigate severe voltage sags, swells, and interruptions affecting the sensitive equipment connected in low voltage distribution side. In case of short or long duration interruption, it can fulfil the load power requirement acting as a UPS. Fuzzy logic controlled novel boost inverter improves overall efficiency and dynamic performance of the DVR system. Further, it is also designed to solve the voltage quality problem of distribution system with the minimum usage of energy from the utility grid and in the most efficient way by making optimal usage of solar energy. The proposed DVR system model involves two PV systems with low power DC to DC converter, chargeable batteries, switches, fuzzy logic controlled SPWM based boost inverter implemented by two DC to DC boost converters and one injection transformer for each phase under sag/swell. The results obtained after simulation verifies the effectiveness of the proposed model of DVR in recovering the voltage sag/swell and interruption on the low voltage side of the distribution. The DVR model proposed is found capable of recovering voltage sag up to 0.1 p.u. and swell up to 1.9 p.u. of pre-sag voltage.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121217174","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 : 2020-02-01DOI: 10.1109/PIICON49524.2020.9112944
V. Murty, Ashwani Kumar
In this paper, a hybrid optimization combination of ant lion optimization (ALO), genetic algorithm and general algebraic modelling system (GAMS) is presented for optimal placement and sizing of distribution generation and capacitor banks in reconfigured microgrids under uncertainty environment. Appropriate probabilistic models are considered to take care of uncertainty in electricity demand and solar irradiance. Various scenarios are investigated for reactive power compensation with and without interaction of renewable energy sources and reconfiguration. The proposed method is tested on IEEE 69-bus test systems with hourly varying load profile. Numerical results shows that the proposed technique provide significant benefits of reduction in power loss, improvement in voltage profile and cost savings.
{"title":"Multi-objective Planning Model for Reconfigured Microgrids with Distribution Generation and Capacitors under Uncertainty Environment","authors":"V. Murty, Ashwani Kumar","doi":"10.1109/PIICON49524.2020.9112944","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9112944","url":null,"abstract":"In this paper, a hybrid optimization combination of ant lion optimization (ALO), genetic algorithm and general algebraic modelling system (GAMS) is presented for optimal placement and sizing of distribution generation and capacitor banks in reconfigured microgrids under uncertainty environment. Appropriate probabilistic models are considered to take care of uncertainty in electricity demand and solar irradiance. Various scenarios are investigated for reactive power compensation with and without interaction of renewable energy sources and reconfiguration. The proposed method is tested on IEEE 69-bus test systems with hourly varying load profile. Numerical results shows that the proposed technique provide significant benefits of reduction in power loss, improvement in voltage profile and cost savings.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115310412","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 : 2020-02-01DOI: 10.1109/PIICON49524.2020.9113070
R. Chintakindi, A. Mitra
Wide Area Monitoring and Smart Automation (WAMSA), is today’s innovative research area under smart grid execution to overcome real-time protection difficulties. Modern communications and information processing technologies offer outstanding real-time benefits. The development of big data applications and satellite uplinks are rapidly changing. Several new measurement devices are being incorporated into an advanced smart grid metering infrastructure. In this process, PMUs can sense, converting signals from voltage and current into digital form under real-time wide-area monitoring systems. In modern power systems real-time applications point of view, big data analytics are playing a vital role with a rising technological concept that contains smart electricity facilities, for instance, smart power control, energy utilization, and management. Initially, it emphasized that smart grids, modern data analytics, massive-scale information control, and reliable monitoring methods with the extreme size of data. This paper summarizes the PMU setup and installation overview in the Unified Real-time Dynamic State Measurement project (URTDSM) with the Synchrophasor based wide-area monitoring system in India. The novelty of this paper is to focus on big data potential functions and practices like fault detection, transient stability, load forecasting, and power quality monitoring into real-time wide-area monitoring.
{"title":"Execution of Real-time Wide Area Monitoring System with Big Data Functions and Practices","authors":"R. Chintakindi, A. Mitra","doi":"10.1109/PIICON49524.2020.9113070","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9113070","url":null,"abstract":"Wide Area Monitoring and Smart Automation (WAMSA), is today’s innovative research area under smart grid execution to overcome real-time protection difficulties. Modern communications and information processing technologies offer outstanding real-time benefits. The development of big data applications and satellite uplinks are rapidly changing. Several new measurement devices are being incorporated into an advanced smart grid metering infrastructure. In this process, PMUs can sense, converting signals from voltage and current into digital form under real-time wide-area monitoring systems. In modern power systems real-time applications point of view, big data analytics are playing a vital role with a rising technological concept that contains smart electricity facilities, for instance, smart power control, energy utilization, and management. Initially, it emphasized that smart grids, modern data analytics, massive-scale information control, and reliable monitoring methods with the extreme size of data. This paper summarizes the PMU setup and installation overview in the Unified Real-time Dynamic State Measurement project (URTDSM) with the Synchrophasor based wide-area monitoring system in India. The novelty of this paper is to focus on big data potential functions and practices like fault detection, transient stability, load forecasting, and power quality monitoring into real-time wide-area monitoring.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115782358","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 : 2020-02-01DOI: 10.1109/PIICON49524.2020.9113050
U. Kalla, Praveen Kumar, N. Adhikari, Bhim Singh
An Implementation of Adaptive Minor Component based Neural Network Controller for Standalone Micro Hydro System have been presented in this paper. The proposed control scheme effectively controls the voltage and frequency of the standalone micro hydro system and also improves the power quality in order to meet the international standards applicable to such systems. The fast and adaptive convergence procedure of the proposed control significantly improve the dynamic and steady state performance of standalone micro hydro system.
{"title":"Adaptive Minor Component based Neural Network Controller for Standalone Micro Hydro System","authors":"U. Kalla, Praveen Kumar, N. Adhikari, Bhim Singh","doi":"10.1109/PIICON49524.2020.9113050","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9113050","url":null,"abstract":"An Implementation of Adaptive Minor Component based Neural Network Controller for Standalone Micro Hydro System have been presented in this paper. The proposed control scheme effectively controls the voltage and frequency of the standalone micro hydro system and also improves the power quality in order to meet the international standards applicable to such systems. The fast and adaptive convergence procedure of the proposed control significantly improve the dynamic and steady state performance of standalone micro hydro system.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"42 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131435099","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 : 2020-02-01DOI: 10.1109/PIICON49524.2020.9113021
M. K. Perera, R. Disanayaka, E.M.C.S Kumara, W.M.C.S.B Walisundara, H. Priyadarshana, E. Ekanayake, K.T.M.U. Hemapala
This paper presents an implementation of a Multi Agent System based Energy Management System for a microgrid. In addressing the emerging distributed generation concept, microgrids have been identified as a suitable platform for integration. The continuous controlling and monitoring is essential for distributed renewable sources in a microgrid platform. Multi Agent System concept provides a plug and play controlling nature to a microgrid unlike complex and conventional controlling techniques. Here a MAS is proposed with five main agents, which mainly consists of a wind agent, a solar agent, load agents and a server agent. Proposed system operation is based on the optimum supply of loads through the available renewable sources. As presented in this paper the interaction between agents in the system is simulated through Java Agent Development Environment. A microgrid test bed is implemented, in order to apply Multi Agent System operation with physically implemented agents. The main purpose of this paper is to discuss the physical implementation of a MAS for a micro grid application.
{"title":"Multi Agent Based Energy Management System for Microgrids","authors":"M. K. Perera, R. Disanayaka, E.M.C.S Kumara, W.M.C.S.B Walisundara, H. Priyadarshana, E. Ekanayake, K.T.M.U. Hemapala","doi":"10.1109/PIICON49524.2020.9113021","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9113021","url":null,"abstract":"This paper presents an implementation of a Multi Agent System based Energy Management System for a microgrid. In addressing the emerging distributed generation concept, microgrids have been identified as a suitable platform for integration. The continuous controlling and monitoring is essential for distributed renewable sources in a microgrid platform. Multi Agent System concept provides a plug and play controlling nature to a microgrid unlike complex and conventional controlling techniques. Here a MAS is proposed with five main agents, which mainly consists of a wind agent, a solar agent, load agents and a server agent. Proposed system operation is based on the optimum supply of loads through the available renewable sources. As presented in this paper the interaction between agents in the system is simulated through Java Agent Development Environment. A microgrid test bed is implemented, in order to apply Multi Agent System operation with physically implemented agents. The main purpose of this paper is to discuss the physical implementation of a MAS for a micro grid application.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130768472","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 : 2020-02-01DOI: 10.1109/PIICON49524.2020.9113055
Amit Kumar Kar, Mayur, C. Kumar, A. Chakraborti, B. Das, P. Kasari
This paper proposes single stage integration of PMSG to the grid through a modular multilevel cascaded converter(MMCC) based on triple star bridge cells (TSBC). It is a direct three-phase AC to AC conversion system. It has capability to allow power flow in both directions(bidirectional). The paper also talks about control methodologies to allow suitable operation of the TSBC. It can find its applications in medium-voltage/high-voltage systems. The validity and effectiveness of the control mechanisms has been verified in this paper using MATLAB based software simulation.
{"title":"Single Stage Integration of PMSG to the Grid Using MMCC-TSBC for WECS","authors":"Amit Kumar Kar, Mayur, C. Kumar, A. Chakraborti, B. Das, P. Kasari","doi":"10.1109/PIICON49524.2020.9113055","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9113055","url":null,"abstract":"This paper proposes single stage integration of PMSG to the grid through a modular multilevel cascaded converter(MMCC) based on triple star bridge cells (TSBC). It is a direct three-phase AC to AC conversion system. It has capability to allow power flow in both directions(bidirectional). The paper also talks about control methodologies to allow suitable operation of the TSBC. It can find its applications in medium-voltage/high-voltage systems. The validity and effectiveness of the control mechanisms has been verified in this paper using MATLAB based software simulation.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130669698","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 : 2020-02-01DOI: 10.1109/PIICON49524.2020.9113019
Manvi Agarwal, Dipayan Guha, S. Purwar
The work described herein has aimed to deal with the frequency instability problem of an isolated hybrid energy distributed power system (IHEDPS), caused by random and rapid changes in load demand. The IHEDPS model undertaken for the present study comprises a wind turbine generator (WTG), diesel engine generator (DEG), and capacitive energy storage system (CESS). A proportional-integral-derivative controller with a derivative filter (PIDF) is employed as a load frequency controller (LFC) to cope up with the intermittent behavior of wind power and load demand. The quasi-oppositional dragonfly algorithm (QODA) is applied for fine-tuning of PIDF and CESS parameters. The ascendency of QODA optimized PIDF-controller in damping of system oscillations has been realized and compared with the results offered by optimal controller and other controllers available in the state-of-art. The presented results show that least variation in frequency and power has been attained with the proposed QODA optimized PIDF-controller. The performance of the designed controller has also been studied under time-varying load perturbation.
{"title":"Quasi-oppositional dragonfly algorithm: applied for frequency regulation of an isolated hybrid energy distributed power system","authors":"Manvi Agarwal, Dipayan Guha, S. Purwar","doi":"10.1109/PIICON49524.2020.9113019","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9113019","url":null,"abstract":"The work described herein has aimed to deal with the frequency instability problem of an isolated hybrid energy distributed power system (IHEDPS), caused by random and rapid changes in load demand. The IHEDPS model undertaken for the present study comprises a wind turbine generator (WTG), diesel engine generator (DEG), and capacitive energy storage system (CESS). A proportional-integral-derivative controller with a derivative filter (PIDF) is employed as a load frequency controller (LFC) to cope up with the intermittent behavior of wind power and load demand. The quasi-oppositional dragonfly algorithm (QODA) is applied for fine-tuning of PIDF and CESS parameters. The ascendency of QODA optimized PIDF-controller in damping of system oscillations has been realized and compared with the results offered by optimal controller and other controllers available in the state-of-art. The presented results show that least variation in frequency and power has been attained with the proposed QODA optimized PIDF-controller. The performance of the designed controller has also been studied under time-varying load perturbation.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125581749","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 : 2020-02-01DOI: 10.1109/PIICON49524.2020.9112900
S. S. Ahmad, Chetan Urabinahatti, G. Narayanan
This paper reports design and testing of an SiC devices based three phase asymmetric H-bridge converter capable of switching at 50 kHz and intended to drive high-speed switched reluctance machines of speeds up-to 50,000 rpm. The power converter architecture is presented. Selection of SiC MOSFETs and diodes for the given power rating and specifications are discussed. Other subsystems of the converter are also described. Test results are presented for the asymmetric H-bridge converter at 800 V dc bus voltage and 50 A of load current. The MOSFET and diode losses are calculated for the given test condition. The respective junction temperatures and the heat-sink temperature are also estimated. Thermal image is presented for validation of estimated heat-sink temperature. The power converter is used to operate two high-speed SRM prototypes.
{"title":"20 kW, 50 kHz SiC Power Converter for High Speed Switched Reluctance Machine","authors":"S. S. Ahmad, Chetan Urabinahatti, G. Narayanan","doi":"10.1109/PIICON49524.2020.9112900","DOIUrl":"https://doi.org/10.1109/PIICON49524.2020.9112900","url":null,"abstract":"This paper reports design and testing of an SiC devices based three phase asymmetric H-bridge converter capable of switching at 50 kHz and intended to drive high-speed switched reluctance machines of speeds up-to 50,000 rpm. The power converter architecture is presented. Selection of SiC MOSFETs and diodes for the given power rating and specifications are discussed. Other subsystems of the converter are also described. Test results are presented for the asymmetric H-bridge converter at 800 V dc bus voltage and 50 A of load current. The MOSFET and diode losses are calculated for the given test condition. The respective junction temperatures and the heat-sink temperature are also estimated. Thermal image is presented for validation of estimated heat-sink temperature. The power converter is used to operate two high-speed SRM prototypes.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114566031","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 : 2020-02-01DOI: 10.1109/piicon49524.2020.9113061
Venkata Madhava Ram Tatabhatla, Anshul Agarwal, T. Kanumuri
Partial shading is the major drawback of reducing the output power of PV array. Shade dispersion through Tom-Tom puzzle pattern is proposed in this manuscript to reduce the partial shading effects. The proposed method is compared with standard TCT configuration to test its efficacy. 25 panels arranged in 5 × 5 array is considered for the study to test the standard and proposed techniques under the progressive increment of shading patterns. The results demonstrate that the reconfiguration through Tom-Tom configuration yields better performance parameters than the conventional configuration.
{"title":"Parameter Enhancement of Solar Array under Partial Shading conditions","authors":"Venkata Madhava Ram Tatabhatla, Anshul Agarwal, T. Kanumuri","doi":"10.1109/piicon49524.2020.9113061","DOIUrl":"https://doi.org/10.1109/piicon49524.2020.9113061","url":null,"abstract":"Partial shading is the major drawback of reducing the output power of PV array. Shade dispersion through Tom-Tom puzzle pattern is proposed in this manuscript to reduce the partial shading effects. The proposed method is compared with standard TCT configuration to test its efficacy. 25 panels arranged in 5 × 5 array is considered for the study to test the standard and proposed techniques under the progressive increment of shading patterns. The results demonstrate that the reconfiguration through Tom-Tom configuration yields better performance parameters than the conventional configuration.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116832322","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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