Pub Date : 2016-11-01DOI: 10.1109/POWERI.2016.8077388
Harsh Vardhan, Lalita Gupta
An ECG signal contains important information required for diagnosis and analysis of heart diseases. So if there is noise induced in an ECG signal then scrutinizing of that signal for pathological, anatomical and physiological aspects goes worthless. Noises can be introduced by various sources, but a common source for high frequency noise is due to forces acting on the electrodes. In this paper noise removal from ECG signal is based on empirical mode decomposition (EMD) and a set of intrinsic mode functions (IMF) is obtained. The main contribution here is adopting Hurst exponent in the selection of IMFs to reconstruct the cardiac signal. This EMD and Hurst-based (EMDH) approach is evaluated in cardiac signal enhancement experiments considering environmental noises with different indices of non-stationarity. Simulation here is done on the MIT-BIH database to evaluate proposed algorithm. Experiments show that the presented method offers good results to detect characteristic waves and remove noise from the ECG signal.
{"title":"Enhancement of ECG signal using EMD and hurst-based mode selection technique","authors":"Harsh Vardhan, Lalita Gupta","doi":"10.1109/POWERI.2016.8077388","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077388","url":null,"abstract":"An ECG signal contains important information required for diagnosis and analysis of heart diseases. So if there is noise induced in an ECG signal then scrutinizing of that signal for pathological, anatomical and physiological aspects goes worthless. Noises can be introduced by various sources, but a common source for high frequency noise is due to forces acting on the electrodes. In this paper noise removal from ECG signal is based on empirical mode decomposition (EMD) and a set of intrinsic mode functions (IMF) is obtained. The main contribution here is adopting Hurst exponent in the selection of IMFs to reconstruct the cardiac signal. This EMD and Hurst-based (EMDH) approach is evaluated in cardiac signal enhancement experiments considering environmental noises with different indices of non-stationarity. Simulation here is done on the MIT-BIH database to evaluate proposed algorithm. Experiments show that the presented method offers good results to detect characteristic waves and remove noise from the ECG signal.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128455165","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077468
U. Kalla, M. Mantri
This paper presents an adaptive back propagation learning scheme for three phase four wire grid integrated solar PV - battery microgrid feeding three phase and single phase nonlinear loads simultaneously. The proposed power quality improved 3 phase 4 wire solar PV - battery micogrid is capable of delivering highly non-sinusoidal currents to nonlinear and unbalance loads of different types such that single and three phase industrial and domestic loads, while the source currents in all three phases remains balanced and sinusoidal. An adaptive back propagation learning scheme is used to control the microgrid voltage control and power quality improvement under various loading conditions through mitigation of harmonic currents, reactive power compensation and active power balancing in the system. It also improve the system power factor in highly nonlinear and unbalanced loading conditions. The proposed scheme significantly improves the steady state and dynamic performances of the 3 phase 4 wire grid integrated solar PV - battery micogrid system.
{"title":"An adaptive control of voltage source converter based scheme for grid connected solar PV - battery system","authors":"U. Kalla, M. Mantri","doi":"10.1109/POWERI.2016.8077468","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077468","url":null,"abstract":"This paper presents an adaptive back propagation learning scheme for three phase four wire grid integrated solar PV - battery microgrid feeding three phase and single phase nonlinear loads simultaneously. The proposed power quality improved 3 phase 4 wire solar PV - battery micogrid is capable of delivering highly non-sinusoidal currents to nonlinear and unbalance loads of different types such that single and three phase industrial and domestic loads, while the source currents in all three phases remains balanced and sinusoidal. An adaptive back propagation learning scheme is used to control the microgrid voltage control and power quality improvement under various loading conditions through mitigation of harmonic currents, reactive power compensation and active power balancing in the system. It also improve the system power factor in highly nonlinear and unbalanced loading conditions. The proposed scheme significantly improves the steady state and dynamic performances of the 3 phase 4 wire grid integrated solar PV - battery micogrid system.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129610942","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077234
D. Nalini, D. Ruth, K. Dhanalakshmi
A linear (translational) actuator using synergistically configured shape memory alloy (SMA) actuator wires is designed to work by the principle of variable stiffness actuation. Synergistic SMA actuators use aiding force to create repetitive motion and are thereby capable of producing increased displacement when compared to the antagonistically biased SMA systems. The stiffness variant in the SMA actuator wires and, the force and displacement characteristics of the actuator are obtained experimentally. The actuator (system) model is obtained using the experimental data. Stiffness feedback is employed for control; in order to measure up the performance of the actuator with stiffness feedback, a comparison is made with displacement and force feedback. Simulations are carried out for regulation and tracking control. The control results demonstrate that, stiffness feedback enhances the performance of the (variable stiffness) actuator.
{"title":"Design of a variable stiffness actuator using shape memory alloy wire","authors":"D. Nalini, D. Ruth, K. Dhanalakshmi","doi":"10.1109/POWERI.2016.8077234","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077234","url":null,"abstract":"A linear (translational) actuator using synergistically configured shape memory alloy (SMA) actuator wires is designed to work by the principle of variable stiffness actuation. Synergistic SMA actuators use aiding force to create repetitive motion and are thereby capable of producing increased displacement when compared to the antagonistically biased SMA systems. The stiffness variant in the SMA actuator wires and, the force and displacement characteristics of the actuator are obtained experimentally. The actuator (system) model is obtained using the experimental data. Stiffness feedback is employed for control; in order to measure up the performance of the actuator with stiffness feedback, a comparison is made with displacement and force feedback. Simulations are carried out for regulation and tracking control. The control results demonstrate that, stiffness feedback enhances the performance of the (variable stiffness) actuator.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129658592","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077156
J. P. Sharma, H. Kamath, Asheesh Shah
A stochastic performance analysis is a useful tool for an unbalance distribution feeder having voltage deepened load characteristics under deregulated environment. As the planning, smooth operation, and distributed generation (DG) integration aspects of an unbalance distribution feeder affected by the DG penetration level and may have a favorable or adverse impact on feeder performance. Therefore a cautious analysis to assess the impact on feeder performance with a reasonable penetration level of DG is required. The proposed strategy has been implemented on a modified IEEE 37 feeder having stochastic static ZIP load models. A constant power (PQ) model of distributed generation integrated with above feeder to simulate penetration of DGs with three different scenarios for 24 hours. These scenarios have different penetration level and DG locations with diverse DG capacity frameworks. The outcome has demonstrated the adequacy of the DG penetration levels under time varying scenarios.
{"title":"Influence of distributed generation penetration level on performance indices of unbalance radial feeder","authors":"J. P. Sharma, H. Kamath, Asheesh Shah","doi":"10.1109/POWERI.2016.8077156","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077156","url":null,"abstract":"A stochastic performance analysis is a useful tool for an unbalance distribution feeder having voltage deepened load characteristics under deregulated environment. As the planning, smooth operation, and distributed generation (DG) integration aspects of an unbalance distribution feeder affected by the DG penetration level and may have a favorable or adverse impact on feeder performance. Therefore a cautious analysis to assess the impact on feeder performance with a reasonable penetration level of DG is required. The proposed strategy has been implemented on a modified IEEE 37 feeder having stochastic static ZIP load models. A constant power (PQ) model of distributed generation integrated with above feeder to simulate penetration of DGs with three different scenarios for 24 hours. These scenarios have different penetration level and DG locations with diverse DG capacity frameworks. The outcome has demonstrated the adequacy of the DG penetration levels under time varying scenarios.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"956 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127028019","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077371
Malay Kumar, Jasraj Meena, M. Vardhan, Sanjeev Jain
The rapid development of cloud computing services and expansion of mobile computing devices have made computation outsourcing a promising solution for execution of extensive computation. In this framework, a computationally weak client outsources its large computation load to a cloud server. However, outsourcing of data and computation to a cloud server brings many security and privacy concern. In this paper, we are addressing matrix multiplication (MM) problem, because MM is a computation-intensive problem and useful in many domains. In the proposed MM outsourcing algorithm, the client outsources input dataset to the cloud server without revealing to them both the input dataset and the output. The algorithm is a non-interactive solution to the client, it sends only input and receives output along with the proof of verification from the cloud server. Further, this work extends the definition of verifiable computation to public verifiable computation, which allows participating worker (not only the client) to verify the correctness of the result computed on the cloud server. The analytical analysis shows that the algorithm is successfully meeting the challenges of correctness, security, verifiability, and efficiency. The practical evaluation validates the proposed algorithm. The result analysis shows that the algorithm is highly efficient and endorses the practical usability of the algorithm.
{"title":"Public delegation & verifiability of matrix multiplication to a malicious cloud server","authors":"Malay Kumar, Jasraj Meena, M. Vardhan, Sanjeev Jain","doi":"10.1109/POWERI.2016.8077371","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077371","url":null,"abstract":"The rapid development of cloud computing services and expansion of mobile computing devices have made computation outsourcing a promising solution for execution of extensive computation. In this framework, a computationally weak client outsources its large computation load to a cloud server. However, outsourcing of data and computation to a cloud server brings many security and privacy concern. In this paper, we are addressing matrix multiplication (MM) problem, because MM is a computation-intensive problem and useful in many domains. In the proposed MM outsourcing algorithm, the client outsources input dataset to the cloud server without revealing to them both the input dataset and the output. The algorithm is a non-interactive solution to the client, it sends only input and receives output along with the proof of verification from the cloud server. Further, this work extends the definition of verifiable computation to public verifiable computation, which allows participating worker (not only the client) to verify the correctness of the result computed on the cloud server. The analytical analysis shows that the algorithm is successfully meeting the challenges of correctness, security, verifiability, and efficiency. The practical evaluation validates the proposed algorithm. The result analysis shows that the algorithm is highly efficient and endorses the practical usability of the algorithm.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127128295","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077206
N. Garg, D. K. Palwalia
Deregulation of the power system industries has recently increased tremendously throughout the globe. This has curved great attention of power system researchers in finding new pilgrims in the competitive market. This paper presents a case study of 5 and 30 Bus system using MW-Mile method. Three approaches reverse, absolute and dominant have been applied to the cost estimation of transmission wheeling. Wheeling charges is one of the decisive aspects of open access electricity market The obtained results show the convergence and being practiced in the markets.
{"title":"Deregulation of transmission pricing:MW-Mile method","authors":"N. Garg, D. K. Palwalia","doi":"10.1109/POWERI.2016.8077206","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077206","url":null,"abstract":"Deregulation of the power system industries has recently increased tremendously throughout the globe. This has curved great attention of power system researchers in finding new pilgrims in the competitive market. This paper presents a case study of 5 and 30 Bus system using MW-Mile method. Three approaches reverse, absolute and dominant have been applied to the cost estimation of transmission wheeling. Wheeling charges is one of the decisive aspects of open access electricity market The obtained results show the convergence and being practiced in the markets.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130082803","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077242
Abhishek Kumar, S. K. Parida, S. Sourab
This paper describes a probabilistic approach based on a linearization of basic load flow equations. The method computes expected values (mean) and standard deviation of the voltages, angles, injected active and reactive powers and thereby obtain their respective probability density curves. Another method named, Point estimate method utilizes mean, standard deviation and probability of above method to obtain more precise probability density curves. Finally, probability density curves obtained from both methods are compared and results are concluded.
{"title":"Comparative analysis of linearization and point estimate methods for solving probabilistic load flow","authors":"Abhishek Kumar, S. K. Parida, S. Sourab","doi":"10.1109/POWERI.2016.8077242","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077242","url":null,"abstract":"This paper describes a probabilistic approach based on a linearization of basic load flow equations. The method computes expected values (mean) and standard deviation of the voltages, angles, injected active and reactive powers and thereby obtain their respective probability density curves. Another method named, Point estimate method utilizes mean, standard deviation and probability of above method to obtain more precise probability density curves. Finally, probability density curves obtained from both methods are compared and results are concluded.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130548660","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077313
R. Agarwal, Ikhlaq Hussain, Bhim Singh
In this paper, a composite observer based control technique is proposed for a single-stage single-phase solar photovoltaic (PV) grid tied system. The system aims at integrating solar PV power generating station to single-phase distribution grid for supplying active power to linear or nonlinear loads connected at the point of interconnection (PoI). The main contribution of this paper is the use of composite observer driven control technique for a single-stage PV-grid tied system which improves the power quality on the grid side by providing harmonics alleviation, reactive power compensation and power factor correction. For maximum power point tracking, an incremental conductance based approach is implemented to increase the efficacy of the solar PV system. Simulation is done using MATLAB software and experimental tests are carried out on a laboratory prototype for studying the behaviour of the system under varying nonlinear loading and solar insolation conditions.
{"title":"Composite observer based control technique for single-phase solar PV-Grid tied system","authors":"R. Agarwal, Ikhlaq Hussain, Bhim Singh","doi":"10.1109/POWERI.2016.8077313","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077313","url":null,"abstract":"In this paper, a composite observer based control technique is proposed for a single-stage single-phase solar photovoltaic (PV) grid tied system. The system aims at integrating solar PV power generating station to single-phase distribution grid for supplying active power to linear or nonlinear loads connected at the point of interconnection (PoI). The main contribution of this paper is the use of composite observer driven control technique for a single-stage PV-grid tied system which improves the power quality on the grid side by providing harmonics alleviation, reactive power compensation and power factor correction. For maximum power point tracking, an incremental conductance based approach is implemented to increase the efficacy of the solar PV system. Simulation is done using MATLAB software and experimental tests are carried out on a laboratory prototype for studying the behaviour of the system under varying nonlinear loading and solar insolation conditions.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130698895","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077157
Harita Shah, K. Verma
Voltage Stability is a challenging issue for secure and reliable operation of modern power systems. In this paper, a fast and efficient Artificial Neural Network (ANN) based approach with dimensionality reduction is proposed for online voltage stability monitoring of power systems. The dimension of the system data is reduced by selecting suitable training features for ANN using Principal Component Analysis (PCA). The performance comparison with different types of ANN architectures is also carried out for the proposed approach. Various voltage stability indices are used as indicator for voltage stability monitoring under varying operating conditions including N-1 contingency. The effectiveness of the proposed approach is demonstrated on IEEE 39 bus New England test system.
{"title":"Voltage stability monitoring by different ANN architectures using PCA based feature selection","authors":"Harita Shah, K. Verma","doi":"10.1109/POWERI.2016.8077157","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077157","url":null,"abstract":"Voltage Stability is a challenging issue for secure and reliable operation of modern power systems. In this paper, a fast and efficient Artificial Neural Network (ANN) based approach with dimensionality reduction is proposed for online voltage stability monitoring of power systems. The dimension of the system data is reduced by selecting suitable training features for ANN using Principal Component Analysis (PCA). The performance comparison with different types of ANN architectures is also carried out for the proposed approach. Various voltage stability indices are used as indicator for voltage stability monitoring under varying operating conditions including N-1 contingency. The effectiveness of the proposed approach is demonstrated on IEEE 39 bus New England test system.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128996387","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 : 2016-11-01DOI: 10.1109/POWERI.2016.8077296
Sajib Chakraborty, Mohammed Mahedi Hasan, Saurav Das, M. Razzak
In Bangladesh, approximately 3900 square miles of entire length is surrounded by 700 rivers including tributaries. Around 770,000 inland and 510,000 marine fishermen survive in this country, whose income entirely depends on fisheries. Bangladeshi fishermen mainly use trawler for fishing purpose in sea and river. Those trawler boats require electric power at night for fishing and lighting purposes. Currently, in a trawler, electric power is supplied by a battery which is charged through a dynamo synchronized with trawler engine. These dynamos require diesel to serve electric power. In this paper, a novel MPPT-based solar power system for fishing trawler is discussed to reduce fuel consumption. This paper defines a method of extracting the maximum current from the PV cell to quickly charge a lead acid cell battery during its “bulk” or constant current charging phase. A PID controller is implemented to ensure that the DC-DC buck converter maintains a constant current output regardless of the charge level of the battery as long as it is in the bulk charging stage. The simulation and hardware results show that the algorithm has been optimized for commercially available 24V PV cells.
{"title":"A novel MPPT-based synchronous buck converter for solar power system in fishing trawler","authors":"Sajib Chakraborty, Mohammed Mahedi Hasan, Saurav Das, M. Razzak","doi":"10.1109/POWERI.2016.8077296","DOIUrl":"https://doi.org/10.1109/POWERI.2016.8077296","url":null,"abstract":"In Bangladesh, approximately 3900 square miles of entire length is surrounded by 700 rivers including tributaries. Around 770,000 inland and 510,000 marine fishermen survive in this country, whose income entirely depends on fisheries. Bangladeshi fishermen mainly use trawler for fishing purpose in sea and river. Those trawler boats require electric power at night for fishing and lighting purposes. Currently, in a trawler, electric power is supplied by a battery which is charged through a dynamo synchronized with trawler engine. These dynamos require diesel to serve electric power. In this paper, a novel MPPT-based solar power system for fishing trawler is discussed to reduce fuel consumption. This paper defines a method of extracting the maximum current from the PV cell to quickly charge a lead acid cell battery during its “bulk” or constant current charging phase. A PID controller is implemented to ensure that the DC-DC buck converter maintains a constant current output regardless of the charge level of the battery as long as it is in the bulk charging stage. The simulation and hardware results show that the algorithm has been optimized for commercially available 24V PV cells.","PeriodicalId":332286,"journal":{"name":"2016 IEEE 7th Power India International Conference (PIICON)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123061331","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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