Pub Date : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853696
R. Panwar, Vikas Sharma, M. Sharma, Bhavesh Vyas
Large number of substations have been upgraded to higher voltage level by loop in loop out of existing transmission lines to meet the increasing load demand. Therefore; large number of loops of different voltage levels has been created between substations. Transformers of different MVA ratings; percentage impedance and tap ratios have been installed at the substations. Presently there is no coordination between adjoining substation operators for tap setting of transformers. Therefore; due to mismatch of transformers tap ratio and percentage impedance; circulating MVARs are flowing on transmission lines resulting in higher transmission losses; increase loading of transformers & lines and poor voltage profile. In this paper impact of circulating MVAR flow and its control through coordinated tap setting of transformers has been studied. Rajasthan power system has been considered to carry out the studies and has been modeled in Mi-Power software. Rajasthan Power System have total 750 buses comprising 2 nos. 765 KV; 35 nos. 400 KV; 147 nos. 220 KV; 504 nos. 132 KV and 62 nos. generator buses with load of 10000 MW. Effect of coordinated Tap setting of transformers on circulating MVAR flow; transmission losses; network voltage profile and lines & transformers loading have been analyzed. Proposed methodology has been successfully tested on Rajasthan power system to remove the circulating MVAR flows on 220 kV and 132 kV network.
{"title":"Circulating MVAR control in Rajasthan (India) transmission system","authors":"R. Panwar, Vikas Sharma, M. Sharma, Bhavesh Vyas","doi":"10.1109/ICPEICES.2016.7853696","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853696","url":null,"abstract":"Large number of substations have been upgraded to higher voltage level by loop in loop out of existing transmission lines to meet the increasing load demand. Therefore; large number of loops of different voltage levels has been created between substations. Transformers of different MVA ratings; percentage impedance and tap ratios have been installed at the substations. Presently there is no coordination between adjoining substation operators for tap setting of transformers. Therefore; due to mismatch of transformers tap ratio and percentage impedance; circulating MVARs are flowing on transmission lines resulting in higher transmission losses; increase loading of transformers & lines and poor voltage profile. In this paper impact of circulating MVAR flow and its control through coordinated tap setting of transformers has been studied. Rajasthan power system has been considered to carry out the studies and has been modeled in Mi-Power software. Rajasthan Power System have total 750 buses comprising 2 nos. 765 KV; 35 nos. 400 KV; 147 nos. 220 KV; 504 nos. 132 KV and 62 nos. generator buses with load of 10000 MW. Effect of coordinated Tap setting of transformers on circulating MVAR flow; transmission losses; network voltage profile and lines & transformers loading have been analyzed. Proposed methodology has been successfully tested on Rajasthan power system to remove the circulating MVAR flows on 220 kV and 132 kV network.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126081731","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853264
Shruti Kapil, Meenu Chawla
Data Mining is the technique used to visualize and scrutinize the data and drive some useful information from that data so that information can be used to perform any useful work. So clustering is the one of the technique that has been proposed to be used in the area of data mining The notion behind clustering is to assigning objects to cluster based upon some customary characteristics such that object belonging to one cluster are similar other than those belonging to other clusters. There are numerous clustering algorithms available but K-means clustering is widely used to form clusters of colossal dataset. The footprint factor for k-means clustering is its scalability, efficiency, simplicity. This proposed paper aims to study the k-means clustering and various distance function used in k-means clustering such as Euclidean distance function and Manhattan distance function. Experiment and results are shown to observe the effect of these distance function upon k-means clustering. The distance functions are compared using number of iterations, within sum squared errors and time taken to build the full model.
{"title":"Performance evaluation of K-means clustering algorithm with various distance metrics","authors":"Shruti Kapil, Meenu Chawla","doi":"10.1109/ICPEICES.2016.7853264","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853264","url":null,"abstract":"Data Mining is the technique used to visualize and scrutinize the data and drive some useful information from that data so that information can be used to perform any useful work. So clustering is the one of the technique that has been proposed to be used in the area of data mining The notion behind clustering is to assigning objects to cluster based upon some customary characteristics such that object belonging to one cluster are similar other than those belonging to other clusters. There are numerous clustering algorithms available but K-means clustering is widely used to form clusters of colossal dataset. The footprint factor for k-means clustering is its scalability, efficiency, simplicity. This proposed paper aims to study the k-means clustering and various distance function used in k-means clustering such as Euclidean distance function and Manhattan distance function. Experiment and results are shown to observe the effect of these distance function upon k-means clustering. The distance functions are compared using number of iterations, within sum squared errors and time taken to build the full model.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120844462","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853352
Satyanarayana Burada, D. Joshi, K. Mistry
Now a days power system protection is an important task for an operating engineer, which can be done by doing online security assessment. Contingency analysis is one of the best methods to forecast the condition of power system if any unwanted event occured in the power system. To do contingency analysis first the operator has to know the parameters like voltage, power and voltage angle at each and every bus by doing load flow analysis on the system. Newton Raphson method is the best load flow method as it gives accurate results in less time. In this paper all line outage contingencies in a standard 6 bus and 5 bus power system has been done in MATLAB environment. For each line outage contingency, load flow analysis has been done on the system and the active power and voltage performance indices have been calculated. These two performance indices will give the idea about the change in active power flow through the lines and voltages at the buses for a particular line outage. Summation of these two indices will give the performance index value through which ranking of severity will be given to the lines. And from the load flow results comparison has been done between low rank and high rank line outage contingencies. This contingency analysis helps the operational engineer to know which line outage is dangerous to the system and what prior action is to be taken to minimize the effect of that particular line outage.
{"title":"Contingency analysis of power system by using voltage and active power performance index","authors":"Satyanarayana Burada, D. Joshi, K. Mistry","doi":"10.1109/ICPEICES.2016.7853352","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853352","url":null,"abstract":"Now a days power system protection is an important task for an operating engineer, which can be done by doing online security assessment. Contingency analysis is one of the best methods to forecast the condition of power system if any unwanted event occured in the power system. To do contingency analysis first the operator has to know the parameters like voltage, power and voltage angle at each and every bus by doing load flow analysis on the system. Newton Raphson method is the best load flow method as it gives accurate results in less time. In this paper all line outage contingencies in a standard 6 bus and 5 bus power system has been done in MATLAB environment. For each line outage contingency, load flow analysis has been done on the system and the active power and voltage performance indices have been calculated. These two performance indices will give the idea about the change in active power flow through the lines and voltages at the buses for a particular line outage. Summation of these two indices will give the performance index value through which ranking of severity will be given to the lines. And from the load flow results comparison has been done between low rank and high rank line outage contingencies. This contingency analysis helps the operational engineer to know which line outage is dangerous to the system and what prior action is to be taken to minimize the effect of that particular line outage.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120948098","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853268
A. Reddy, M. D. Reddy
Reconfiguration of radial distribution system is a significant way of altering the power flow through the lines. This paper presents a novel method to interpret the network reconfiguration problem with an objective of minimizing real power loss and simultaneously, improving the voltage profile in radial distribution system (RDS). A Meta-heuristic Particle swarm optimization (PSO) is used to reconfigure and recognize the optimal tie switches for reduction of real power loss in a radial distribution system. Different scenarios of reconfiguration of distributed network are precise to study the performance of the proposed technique. The constraints of voltage and branch current carrying capacity are incorporated in the assessment of the objective function. The proposed method has been tested on IEEE 33-bus and 69-bus systems at different load patterns to demonstrate the performance and effectiveness of the predictable method. The outcomes attained, illustrates that improvement in voltages and a reduction in the real power loss.
{"title":"Optimization of network reconfiguration by using Particle swarm optimization","authors":"A. Reddy, M. D. Reddy","doi":"10.1109/ICPEICES.2016.7853268","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853268","url":null,"abstract":"Reconfiguration of radial distribution system is a significant way of altering the power flow through the lines. This paper presents a novel method to interpret the network reconfiguration problem with an objective of minimizing real power loss and simultaneously, improving the voltage profile in radial distribution system (RDS). A Meta-heuristic Particle swarm optimization (PSO) is used to reconfigure and recognize the optimal tie switches for reduction of real power loss in a radial distribution system. Different scenarios of reconfiguration of distributed network are precise to study the performance of the proposed technique. The constraints of voltage and branch current carrying capacity are incorporated in the assessment of the objective function. The proposed method has been tested on IEEE 33-bus and 69-bus systems at different load patterns to demonstrate the performance and effectiveness of the predictable method. The outcomes attained, illustrates that improvement in voltages and a reduction in the real power loss.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132506101","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853536
Neha Gaba, Neelam Barak, Shipra Aggarwal
Moving object identification and tracking motion is the base source to extract vital information regarding moving objects from sequences in continuous image based surveillance systems. An advanced approach to motion detection for automatic video analysis has been presented in the paper. This achieves complete detection of moving object which is robust against of changes in brightness, dynamic variations in the surrounding environment and noise from the background. The proposed method is a pixel dependent and non-parametrized approach that is based on first frame to build the model. The detection of the foreground which represents the object and background which is the surrounding of the environment starts once the subsequent frame is captured. It utilizes unique tracking methodology that identifies and eliminates the ghost object from dissolving into the background of the frame. The proposed algorithm has been test implemented on several open source videos by imposing single set of variables to overcome shortcomings of relevant and recently developed techniques.
{"title":"Motion detection, tracking and classification for automated Video Surveillance","authors":"Neha Gaba, Neelam Barak, Shipra Aggarwal","doi":"10.1109/ICPEICES.2016.7853536","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853536","url":null,"abstract":"Moving object identification and tracking motion is the base source to extract vital information regarding moving objects from sequences in continuous image based surveillance systems. An advanced approach to motion detection for automatic video analysis has been presented in the paper. This achieves complete detection of moving object which is robust against of changes in brightness, dynamic variations in the surrounding environment and noise from the background. The proposed method is a pixel dependent and non-parametrized approach that is based on first frame to build the model. The detection of the foreground which represents the object and background which is the surrounding of the environment starts once the subsequent frame is captured. It utilizes unique tracking methodology that identifies and eliminates the ghost object from dissolving into the background of the frame. The proposed algorithm has been test implemented on several open source videos by imposing single set of variables to overcome shortcomings of relevant and recently developed techniques.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133241303","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}
Electro-optical sighting systems are used for surveillance, target acquisition and tracking. The stabilization of the line of sight (LOS) against vehicle-induced disturbances is an essential feature of the electro-optical gimbaled sighting systems, mounted on mobile platforms. Due to factors like host platform dynamics, friction, cable restraint and noise, the pointing and tracking accuracy of the gimbaled system degrades substantially. This work presents control law design for LOS stabilization of a gimbaled electro-optical sighting system, using sliding mode controller (SMC). Other controllers like proportional-integral (PI) controller (conventional frequency domain approach) and linear quadratic gaussian with loop transfer recovery (LQG/LTR) controller (state-space based optimal control) are also compared with SMC for such application. SMC is a non-linear controller that is modified in this work which further reduces the chatter so as to achieve better steady state accuracy. All these controllers meet the stringent requirements of disturbance attenuation and command following.
{"title":"Sliding mode control based line-of-sight (LOS) stabilization of electro-optical sighting system","authors":"Shashi Singh, Rajeev Marathe, Avnish Kumar, Rajesh Kumar","doi":"10.1109/ICPEICES.2016.7853071","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853071","url":null,"abstract":"Electro-optical sighting systems are used for surveillance, target acquisition and tracking. The stabilization of the line of sight (LOS) against vehicle-induced disturbances is an essential feature of the electro-optical gimbaled sighting systems, mounted on mobile platforms. Due to factors like host platform dynamics, friction, cable restraint and noise, the pointing and tracking accuracy of the gimbaled system degrades substantially. This work presents control law design for LOS stabilization of a gimbaled electro-optical sighting system, using sliding mode controller (SMC). Other controllers like proportional-integral (PI) controller (conventional frequency domain approach) and linear quadratic gaussian with loop transfer recovery (LQG/LTR) controller (state-space based optimal control) are also compared with SMC for such application. SMC is a non-linear controller that is modified in this work which further reduces the chatter so as to achieve better steady state accuracy. All these controllers meet the stringent requirements of disturbance attenuation and command following.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133377632","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853182
S. Saini, M. Sharma, Bhavesh Vyas, Manoj Gupta
The Paper presents study of 11 kV distribution network of Jaipur city, with shunt capacitor placement at 11kV voltage level. In the current scenario utilities are managing the expansion of distribution network without planning the shunt capacitors. This paper provides an analysis of distribution losses in Jaipur city by modeling the present scenario of distribution network operating without shunt capacitor banks. The model of 260 bus network is designed and reactive power requirement for constant power load are calculated from load flow studies by using Mi-power Software. The proposed model is designed with capacitor installation, calculating the reactive power requirements of real time existing system. Comparative studies have been carried with updated system parameters for power flow. The effect of capacitors on network lines, transformers, Substation power factor & system loadings have been researched both with & without Capacitor Bank over the Test system. An overall financial analysis detailing annual cost & energy saving is also presented. Lastly capacity utilization factor suggesting for optimal utilization of capacitor banks with case studies, are followed by results with simulated changes in swing bus voltage have been addressed.
{"title":"A case study for loss reduction in distribution networks using shunt capacitors","authors":"S. Saini, M. Sharma, Bhavesh Vyas, Manoj Gupta","doi":"10.1109/ICPEICES.2016.7853182","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853182","url":null,"abstract":"The Paper presents study of 11 kV distribution network of Jaipur city, with shunt capacitor placement at 11kV voltage level. In the current scenario utilities are managing the expansion of distribution network without planning the shunt capacitors. This paper provides an analysis of distribution losses in Jaipur city by modeling the present scenario of distribution network operating without shunt capacitor banks. The model of 260 bus network is designed and reactive power requirement for constant power load are calculated from load flow studies by using Mi-power Software. The proposed model is designed with capacitor installation, calculating the reactive power requirements of real time existing system. Comparative studies have been carried with updated system parameters for power flow. The effect of capacitors on network lines, transformers, Substation power factor & system loadings have been researched both with & without Capacitor Bank over the Test system. An overall financial analysis detailing annual cost & energy saving is also presented. Lastly capacity utilization factor suggesting for optimal utilization of capacitor banks with case studies, are followed by results with simulated changes in swing bus voltage have been addressed.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129330991","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853637
R. Jain, Shashank Sharma, M. Sreejeth, Madhusudan Singh
A Programmable Logic Controller (PLC) based power factor correction method for a 3-phase Induction Motor (IM) through switching of shunt capacitors is proposed in this paper. A 3 phase IM has a low power factor (pf) at no load as it draws large magnetizing current and the active power delivered to the motor is low, which is utilized to overcome the no-load losses. The PLC based power factor improvement algorithm is developed and implemented on a 3 Phase laboratory prototype IM coupled to a DC generator and the effectiveness of the algorithm is tested under no-load and loaded condition. Based on the instantaneously measured value of power factor, the PLC switches the appropriate bank of capacitors into the circuit depending on the load condition to improve the pf. Large scale use of PLC in industrial automation, adaptability, simple implementation and economics justified its selection as the switching controller. A significant improvement in power factor under different loading conditions is observed.
{"title":"PLC based power factor correction of 3-phase Induction Motor","authors":"R. Jain, Shashank Sharma, M. Sreejeth, Madhusudan Singh","doi":"10.1109/ICPEICES.2016.7853637","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853637","url":null,"abstract":"A Programmable Logic Controller (PLC) based power factor correction method for a 3-phase Induction Motor (IM) through switching of shunt capacitors is proposed in this paper. A 3 phase IM has a low power factor (pf) at no load as it draws large magnetizing current and the active power delivered to the motor is low, which is utilized to overcome the no-load losses. The PLC based power factor improvement algorithm is developed and implemented on a 3 Phase laboratory prototype IM coupled to a DC generator and the effectiveness of the algorithm is tested under no-load and loaded condition. Based on the instantaneously measured value of power factor, the PLC switches the appropriate bank of capacitors into the circuit depending on the load condition to improve the pf. Large scale use of PLC in industrial automation, adaptability, simple implementation and economics justified its selection as the switching controller. A significant improvement in power factor under different loading conditions is observed.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128669521","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853629
Rahul Chakole, M. Palandurkar, M. Renge
Now-a-days, the world is going towards environmental friendly and sustainable renewable energy resources instead of fossil fuel based energy. Thus, energy storage system has become an emerging technology for renewable energy source and application. Supercapacitors have competitive advantages over batteries like high power density and fast charging. However supercapacitors with boost converter gives good performance and optimum cost benefit. Also it helps to achieve high power level and reduction in current ripple. In this paper, performance of supercapacitor is presented using boost convertor to maintain constant output voltage across DC motor with the help of MATLAB Simulink software and experimental results using Digital Signal Controller (DSC).
{"title":"Energy management of supercapacitor with DC-DC converter","authors":"Rahul Chakole, M. Palandurkar, M. Renge","doi":"10.1109/ICPEICES.2016.7853629","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853629","url":null,"abstract":"Now-a-days, the world is going towards environmental friendly and sustainable renewable energy resources instead of fossil fuel based energy. Thus, energy storage system has become an emerging technology for renewable energy source and application. Supercapacitors have competitive advantages over batteries like high power density and fast charging. However supercapacitors with boost converter gives good performance and optimum cost benefit. Also it helps to achieve high power level and reduction in current ripple. In this paper, performance of supercapacitor is presented using boost convertor to maintain constant output voltage across DC motor with the help of MATLAB Simulink software and experimental results using Digital Signal Controller (DSC).","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117193933","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 : 2016-07-04DOI: 10.1109/ICPEICES.2016.7853669
R. Tripathi, G. Tiwari, V. Dwivedi
In this study; the analysis has been carried for overall thermal gain and equivalent electrical exergy of partially and fully covered N photovoltaic thermal-compound parabolic concentrator connected in series. Here; it is a basically comparative study to find to choose the best system for use for thermal gain and electrical gain. The outlet temperature at Nth collector has been derived. The thermal modelling has been done by considering certain assumption. The electrical efficiency of solar cell has been derived. The annual analysis has been taken for location New Delhi; India and clear day type whether condition. The maximum annual overall thermal energy gain has been obtained 1220.03 kWh which is for partially covered N photovoltaic thermal(PVT)-compound parabolic concentrator (CPC) and maximum annual electrical gain has been found 141.76 kWh in fully covered N PVT-CPC collector. The maximum overall exergy has been obtained 133.62 kWh for N PVT-CPC collector.
{"title":"Overall energy and exergy performance of partially covered N-photovoltaic thermal (PVT)-compound parabolic concentrator (CPC) collectors connected in series","authors":"R. Tripathi, G. Tiwari, V. Dwivedi","doi":"10.1109/ICPEICES.2016.7853669","DOIUrl":"https://doi.org/10.1109/ICPEICES.2016.7853669","url":null,"abstract":"In this study; the analysis has been carried for overall thermal gain and equivalent electrical exergy of partially and fully covered N photovoltaic thermal-compound parabolic concentrator connected in series. Here; it is a basically comparative study to find to choose the best system for use for thermal gain and electrical gain. The outlet temperature at Nth collector has been derived. The thermal modelling has been done by considering certain assumption. The electrical efficiency of solar cell has been derived. The annual analysis has been taken for location New Delhi; India and clear day type whether condition. The maximum annual overall thermal energy gain has been obtained 1220.03 kWh which is for partially covered N photovoltaic thermal(PVT)-compound parabolic concentrator (CPC) and maximum annual electrical gain has been found 141.76 kWh in fully covered N PVT-CPC collector. The maximum overall exergy has been obtained 133.62 kWh for N PVT-CPC collector.","PeriodicalId":305942,"journal":{"name":"2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125645733","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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