Pub Date : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036666
X. Joanofarc, D. Nivedhika, S. Patnaik, R. Panda
The bioreactor, a multivariable system, is the principle organ of biochemical Industrial processes where active microbial cells are grown and utilized for various useful biological products. To attain optimal growth of microbial cells a constructively designed bioreactor with an appropriate control method is essential. Nonlinearity is also an underlying property of the bioreactor that degrades the growth parameters and affects the biomass growth and its performance. IMC-PID based on Laurent series is employed in this paper for a real time bioreactor with the essential knowledge of its reaction kinetics and a complete understanding of its working. This paper explores the steady state and dynamic nonlinear behaviour of a typical bioreactor elaborately. To start with, an example of a multivariable fed-batch process of E.coli fermentation is considered for which the Relative Gain Array (RGA) and directional sensitivity are analyzed that provides proper I/O pairing. The Strongest input-output pair is identified and a nonlinear model is arrived using the SISO real time data. For fed batch E.coli fermentation, the closed loop performances are analysed using IMC-PID Laurent series method. Finally, the closed loop results are then validated by conducting real time experiments.
{"title":"Closed-loop Performance and Analysis of a Real Time Non-linear Bioreactor Process","authors":"X. Joanofarc, D. Nivedhika, S. Patnaik, R. Panda","doi":"10.1109/ICPEDC47771.2019.9036666","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036666","url":null,"abstract":"The bioreactor, a multivariable system, is the principle organ of biochemical Industrial processes where active microbial cells are grown and utilized for various useful biological products. To attain optimal growth of microbial cells a constructively designed bioreactor with an appropriate control method is essential. Nonlinearity is also an underlying property of the bioreactor that degrades the growth parameters and affects the biomass growth and its performance. IMC-PID based on Laurent series is employed in this paper for a real time bioreactor with the essential knowledge of its reaction kinetics and a complete understanding of its working. This paper explores the steady state and dynamic nonlinear behaviour of a typical bioreactor elaborately. To start with, an example of a multivariable fed-batch process of E.coli fermentation is considered for which the Relative Gain Array (RGA) and directional sensitivity are analyzed that provides proper I/O pairing. The Strongest input-output pair is identified and a nonlinear model is arrived using the SISO real time data. For fed batch E.coli fermentation, the closed loop performances are analysed using IMC-PID Laurent series method. Finally, the closed loop results are then validated by conducting real time experiments.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"430 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122485340","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036711
Partha Sarathi Subudhi, S. Krithiga
Development in power converter research area has given birth to many derived converter systems. A derived converter is invented by employing the advantages of available conventional converters. The derived converters carry many advantages compared to the conventional converters such as: lesser operational loss, single stage power conversion, simplified control circuit, usage of less number of power electronic components, less manufacturing cost and compact design in order to fit for most of the power electronic applications. Derived converters play a major role in integrating renewable energy system to the present smart home system. This paper focuses on the review of different derived converters available with their control strategies and their advantages and limitations.
{"title":"Topological Study of Derived Converters- A review","authors":"Partha Sarathi Subudhi, S. Krithiga","doi":"10.1109/ICPEDC47771.2019.9036711","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036711","url":null,"abstract":"Development in power converter research area has given birth to many derived converter systems. A derived converter is invented by employing the advantages of available conventional converters. The derived converters carry many advantages compared to the conventional converters such as: lesser operational loss, single stage power conversion, simplified control circuit, usage of less number of power electronic components, less manufacturing cost and compact design in order to fit for most of the power electronic applications. Derived converters play a major role in integrating renewable energy system to the present smart home system. This paper focuses on the review of different derived converters available with their control strategies and their advantages and limitations.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126643778","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036693
Ashika Dev Teres
This research emphasis the utility of Big Data analytics, as an upcoming trend, in smart grid data. Large datasets are handled using a relatively newer technology called big data analytics. Volume, variety, velocity, veracity, value, and complexity are the six main characteristics of big data. Smart grids have begun to generate tremendous volume of data which is exponentially increasing with the day and possess majority of the big data characteristics. Earlier researches on big data for smart grids has emphasis only on necessities, design, concepts, problems, challenges and further research directions but this work focus on developing solutions for processing the massive data sets. As a study a residential electricity demand profile with 10 million records is considered and the ‘mapreduce’ function in MATLAB is used for dimensionality reduction. Histograms of power consumption pattern with ‘mapreduce’ helps to visualize huge sets of data without the need to load all the observations instantaneously into memory. This will help in further analysis power consumption pattern and predicting the future power demand and short term /long term load forecasting
{"title":"Histogram Visualization of Smart Grid data using Mapreduce algorithm","authors":"Ashika Dev Teres","doi":"10.1109/ICPEDC47771.2019.9036693","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036693","url":null,"abstract":"This research emphasis the utility of Big Data analytics, as an upcoming trend, in smart grid data. Large datasets are handled using a relatively newer technology called big data analytics. Volume, variety, velocity, veracity, value, and complexity are the six main characteristics of big data. Smart grids have begun to generate tremendous volume of data which is exponentially increasing with the day and possess majority of the big data characteristics. Earlier researches on big data for smart grids has emphasis only on necessities, design, concepts, problems, challenges and further research directions but this work focus on developing solutions for processing the massive data sets. As a study a residential electricity demand profile with 10 million records is considered and the ‘mapreduce’ function in MATLAB is used for dimensionality reduction. Histograms of power consumption pattern with ‘mapreduce’ helps to visualize huge sets of data without the need to load all the observations instantaneously into memory. This will help in further analysis power consumption pattern and predicting the future power demand and short term /long term load forecasting","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592041","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036570
E. Devi, E. A. Devio, S. Yogalakshmi
The two important task of the sensor nodes in WSNs are sensing the environment and forwarding the packets among other nodes. When a cut node is identified in the network, the forwarded data can be rerouted through different path, but the “sensing” function cannot be done. This will lead to loss of precious data which is to be gained by the network from the environment. So the cut node should be recovered immediately after the failure of a node. A Backup node based cut recovery algorithm (BNCR) is proposed to recover the cut node. In this paper back up nodes are selected by using Particle Swarm optimization algorithm. The nodes which is having maximum coverage and at one hop distance to all other nodes in the cluster is selected as backup node. Initially this backup node will be in sleep mode. Once the cut is detected, the cluster head checks for the availability of back up nodes. If back up nodes are available, it will be activated and plays the role of the cut node. If back up nodes are not available at one hop distance, mobile nodes will be initiated by the base station to recover the cut nodes. This algorithm increases the lifetime of the Wireless Sensor Networks
{"title":"An Efficient Cut Recovery Algorithm Using Particle Swam optimization for WSN","authors":"E. Devi, E. A. Devio, S. Yogalakshmi","doi":"10.1109/ICPEDC47771.2019.9036570","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036570","url":null,"abstract":"The two important task of the sensor nodes in WSNs are sensing the environment and forwarding the packets among other nodes. When a cut node is identified in the network, the forwarded data can be rerouted through different path, but the “sensing” function cannot be done. This will lead to loss of precious data which is to be gained by the network from the environment. So the cut node should be recovered immediately after the failure of a node. A Backup node based cut recovery algorithm (BNCR) is proposed to recover the cut node. In this paper back up nodes are selected by using Particle Swarm optimization algorithm. The nodes which is having maximum coverage and at one hop distance to all other nodes in the cluster is selected as backup node. Initially this backup node will be in sleep mode. Once the cut is detected, the cluster head checks for the availability of back up nodes. If back up nodes are available, it will be activated and plays the role of the cut node. If back up nodes are not available at one hop distance, mobile nodes will be initiated by the base station to recover the cut nodes. This algorithm increases the lifetime of the Wireless Sensor Networks","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134501291","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036701
Jagabandhu Majhi, S. Nema, D. Verma
This paper presents the modeling and simulation of water pumping system for hydraulic actuated load fed from solar energy. Now-a-days PV based water pumping system is increasingly used for irrigation purpose in India. In this paper, the boost converter steps up the voltage produced by the PV array for smooth running of a separately excited DC motor which then drives the Centrifugal Pump and the movement of fluid by the centrifugal pump is applied to the hydraulic system after regulated by sine wave controller. The Experimental performance presented provide the utility of such a drive system. A proper designing of directly coupled solar water pumping system powered from solar panels, DC to DC Boost converter, separately excited wound DC motor and centrifugal pump with hydraulic system in cascaded is presented. The model was implemented using MATLAB/ Simulink and MATLAB/ Sims cape.
{"title":"Simulation And Analysis Of Solar Based Water Pumping System For Hydraulic Actuated Load","authors":"Jagabandhu Majhi, S. Nema, D. Verma","doi":"10.1109/ICPEDC47771.2019.9036701","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036701","url":null,"abstract":"This paper presents the modeling and simulation of water pumping system for hydraulic actuated load fed from solar energy. Now-a-days PV based water pumping system is increasingly used for irrigation purpose in India. In this paper, the boost converter steps up the voltage produced by the PV array for smooth running of a separately excited DC motor which then drives the Centrifugal Pump and the movement of fluid by the centrifugal pump is applied to the hydraulic system after regulated by sine wave controller. The Experimental performance presented provide the utility of such a drive system. A proper designing of directly coupled solar water pumping system powered from solar panels, DC to DC Boost converter, separately excited wound DC motor and centrifugal pump with hydraulic system in cascaded is presented. The model was implemented using MATLAB/ Simulink and MATLAB/ Sims cape.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133889479","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036695
Archana Mamadapur, G. Unde Mahadev
The primary aim of this paper is to control the speed of brushless DC motor using Artificial Neural Network (ANN) controller and PID controller. Detailed analysis is performed based on the simulation results of both the methods. A neural control based speed control system of brushless DC motor is designed by analyzing the mathematical model of BLDC motor. Plant model identification is done in Simulink software of MATLAB to identify the ANN block of BLDC motor drive system. Reference control model is designed to give the ideal values of control parameters when the control system responds to the command signal. The performance results of PID controller and ANN controller are compared with reference model output of BLDC motor drive system in MATLAB Simulink environment. Comparative study concludes that ANN based speed control method eliminates the overshoot, reduces the settling time of the system response. It is observed that the ANN based simulation results are closer to the ideal reference control model response than PID based.
{"title":"Speed Control of BLDC Motor Using Neural Network Controller and PID Controller","authors":"Archana Mamadapur, G. Unde Mahadev","doi":"10.1109/ICPEDC47771.2019.9036695","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036695","url":null,"abstract":"The primary aim of this paper is to control the speed of brushless DC motor using Artificial Neural Network (ANN) controller and PID controller. Detailed analysis is performed based on the simulation results of both the methods. A neural control based speed control system of brushless DC motor is designed by analyzing the mathematical model of BLDC motor. Plant model identification is done in Simulink software of MATLAB to identify the ANN block of BLDC motor drive system. Reference control model is designed to give the ideal values of control parameters when the control system responds to the command signal. The performance results of PID controller and ANN controller are compared with reference model output of BLDC motor drive system in MATLAB Simulink environment. Comparative study concludes that ANN based speed control method eliminates the overshoot, reduces the settling time of the system response. It is observed that the ANN based simulation results are closer to the ideal reference control model response than PID based.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114074538","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036674
K. Vijayakumar, G. Vishnuvarthanan, Eugene Yu-Dong Zhang
The core objective of this paper is to increase the overall efficacy of the inverter operation by designing a new controlling strategy by realizing a novel Monkey King Evolution Algorithm (MKEA). Providing an appropriate controller for grid connected inverter without affecting its output is the main motive of this work. During simulation, the effectiveness of the controller is investigated by the analysis of phase voltage, phase current, active power, reactive power, apparent power, grid voltage, and output voltage.
本文的核心目标是通过实现一种新的猴王进化算法(Monkey King Evolution Algorithm, MKEA)来设计一种新的控制策略，从而提高逆变器的整体运行效率。在不影响并网逆变器输出的前提下，为并网逆变器提供合适的控制器是本研究的主要动机。在仿真过程中，通过对相电压、相电流、有功功率、无功功率、视在功率、电网电压和输出电压的分析，考察了控制器的有效性。
{"title":"Evolutionary Algorithm based Controller Design for Grid tie Inverter to improve the Quality of Power System","authors":"K. Vijayakumar, G. Vishnuvarthanan, Eugene Yu-Dong Zhang","doi":"10.1109/ICPEDC47771.2019.9036674","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036674","url":null,"abstract":"The core objective of this paper is to increase the overall efficacy of the inverter operation by designing a new controlling strategy by realizing a novel Monkey King Evolution Algorithm (MKEA). Providing an appropriate controller for grid connected inverter without affecting its output is the main motive of this work. During simulation, the effectiveness of the controller is investigated by the analysis of phase voltage, phase current, active power, reactive power, apparent power, grid voltage, and output voltage.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122499060","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036581
J. Infanta, A. Shalini, N. M. Raja, B. Anusha
Clinical image assessment plays an imperative part in the assessment of the illness in humans. Hence, in most of the disease cases, a suitable procedure is followed to record the bio-medical image in a controlled environment, which further can be evaluated by an experienced doctor or a suitable Computed-Assisted-Diagnosis (CAD) system to confirm the severity of disease; for planning suitable treatment process. In this work, a morphological operation based CAD system is developed to examine the leukocyte segment from the RGB-scale blood smear image. The presentation of developed CAD is evaluated with the other leukocyte examination procedures existing in the literature. The outcome of this work substantiate that, proposed approach is fast and efficient in extracting the leukocyte section from the blood-smear picture with improved accuracy. In this work, the validation of the proposed technique is experimentally authorized with the benchmark LISC database and the results obtained with the proposed study offers an overall accuracy of > 97.96% compared to the related existing techniques.
{"title":"A Study on Segmentation and Evaluation of Leukocyte Section","authors":"J. Infanta, A. Shalini, N. M. Raja, B. Anusha","doi":"10.1109/ICPEDC47771.2019.9036581","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036581","url":null,"abstract":"Clinical image assessment plays an imperative part in the assessment of the illness in humans. Hence, in most of the disease cases, a suitable procedure is followed to record the bio-medical image in a controlled environment, which further can be evaluated by an experienced doctor or a suitable Computed-Assisted-Diagnosis (CAD) system to confirm the severity of disease; for planning suitable treatment process. In this work, a morphological operation based CAD system is developed to examine the leukocyte segment from the RGB-scale blood smear image. The presentation of developed CAD is evaluated with the other leukocyte examination procedures existing in the literature. The outcome of this work substantiate that, proposed approach is fast and efficient in extracting the leukocyte section from the blood-smear picture with improved accuracy. In this work, the validation of the proposed technique is experimentally authorized with the benchmark LISC database and the results obtained with the proposed study offers an overall accuracy of > 97.96% compared to the related existing techniques.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"7 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121181766","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036540
J. Godwin, H. Venkatesan, S. Seralathan, Premkumar T Micha
Biodiesel being the trend in replacing the conventional diesel fuel in considerate with the depletion of fossil fuel. Crotalaria juncea L. were selected as the source because availability is one of the major considerations for the fuel cost. India contributes 27% of Crotalaria juncea L. seeds among the world population. On extracting the oil from the seeds the FFA value was found to be $gt 2$% hence the two stage trans-esterification process was incorporated. The process parameters for the trans-esterification process were investigated for the optimum reaction values. On experimentation it was detailed that the molar ratio of 0.91 v/v, catalyst concentration of 0.94 wt % and reaction time of 120 min were the optimal process parameter values which gave the maximum biodiesel yield of 98.1 %. To validate the result, Bayesian regularized algorithm incorporated in Artificial Neural Network (ANN) model was utilized for the optimization of process parameters. The model was validated with performance evaluation. After predicting the process parameters it was found that the ANN predicted values were in correlation with experimental values.
{"title":"Optimized Biodiesel Production from Crotalaria juncea L. oil for usage in Compression Ignition Engine","authors":"J. Godwin, H. Venkatesan, S. Seralathan, Premkumar T Micha","doi":"10.1109/ICPEDC47771.2019.9036540","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036540","url":null,"abstract":"Biodiesel being the trend in replacing the conventional diesel fuel in considerate with the depletion of fossil fuel. Crotalaria juncea L. were selected as the source because availability is one of the major considerations for the fuel cost. India contributes 27% of Crotalaria juncea L. seeds among the world population. On extracting the oil from the seeds the FFA value was found to be $gt 2$% hence the two stage trans-esterification process was incorporated. The process parameters for the trans-esterification process were investigated for the optimum reaction values. On experimentation it was detailed that the molar ratio of 0.91 v/v, catalyst concentration of 0.94 wt % and reaction time of 120 min were the optimal process parameter values which gave the maximum biodiesel yield of 98.1 %. To validate the result, Bayesian regularized algorithm incorporated in Artificial Neural Network (ANN) model was utilized for the optimization of process parameters. The model was validated with performance evaluation. After predicting the process parameters it was found that the ANN predicted values were in correlation with experimental values.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128674941","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 : 2019-08-01DOI: 10.1109/ICPEDC47771.2019.9036599
R. Subha, S. Himavathi
Nature inspired algorithms have been found to be powerful in solving complex optimization problems due to the intelligence embedded in them. Some of these algorithms have also been used in tracking the maximum power point (MPP) in a partially shaded photovoltaic (PV) array. This paper evaluates the capability of five algorithms inspired from nature in tracking maximum power point under partial shading. The performance of the algorithms are compared in terms of their tracking accuracy, convergence time and implementation complexity to find the most suitable method for MPP tracking.
{"title":"Performance Evaluation of Nature Inspired Algorithms for MPPT in Solar PV Systems with Partial Shading","authors":"R. Subha, S. Himavathi","doi":"10.1109/ICPEDC47771.2019.9036599","DOIUrl":"https://doi.org/10.1109/ICPEDC47771.2019.9036599","url":null,"abstract":"Nature inspired algorithms have been found to be powerful in solving complex optimization problems due to the intelligence embedded in them. Some of these algorithms have also been used in tracking the maximum power point (MPP) in a partially shaded photovoltaic (PV) array. This paper evaluates the capability of five algorithms inspired from nature in tracking maximum power point under partial shading. The performance of the algorithms are compared in terms of their tracking accuracy, convergence time and implementation complexity to find the most suitable method for MPP tracking.","PeriodicalId":426923,"journal":{"name":"2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"245 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117012314","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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