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This paper presents the design and analytical modeling of the proposed solar photovoltaic standalone system under varying environmental conditions. The proposed system consists of a unique structure of a solar PV-tree, maximum power point tracking (MPPT) technique, and DC–DC converter. The output voltage acquired from the solar PV tree is low. A DC–DC boost converter is utilized to step-up the required amount of voltage level. In this paper, the appropriate duty cycle is obtained for extracting the optimum power from the solar PV tree by using various MPPT mechanisms such as perturb and observe (P&O), incremental conductance (INC), and a radial basis function network (RBFN)-based neural network (NN). The proposed solar photovoltaic tree-based energy harvesting system is designed and validated by using MATLAB/SIMULINK software and real-time application. The simulation results of the above-mentioned three techniques are compared with each other in order to show the effectiveness of the proposed system with RBFN. The RBFN-MPPT provides a significant improvement in tracking efficiency of 6.0% and 5.72% as compared with the P&O method and the INC method at 1000 W/m2 irradiance condition. From the simulation and real-time results, it is concluded that the RBFN-based NN provides better tracking efficiency and less oscillation as compared with the other two algorithms.
Pitchai Pandiyan; Subramani Saravanan; Natarajan Prabaharan; Ramji Tiwari; Thangam Chinnadurai; Neelakandan Babu; Eklas Hossain. Implementation of Different MPPT Techniques in Solar PV Tree under Partial Shading Conditions. Sustainability 2021, 13, 7208 .
AMA StylePitchai Pandiyan, Subramani Saravanan, Natarajan Prabaharan, Ramji Tiwari, Thangam Chinnadurai, Neelakandan Babu, Eklas Hossain. Implementation of Different MPPT Techniques in Solar PV Tree under Partial Shading Conditions. Sustainability. 2021; 13 (13):7208.
Chicago/Turabian StylePitchai Pandiyan; Subramani Saravanan; Natarajan Prabaharan; Ramji Tiwari; Thangam Chinnadurai; Neelakandan Babu; Eklas Hossain. 2021. "Implementation of Different MPPT Techniques in Solar PV Tree under Partial Shading Conditions." Sustainability 13, no. 13: 7208.
In this chapter, the origin of the dust that settles on the outermost surface of the solar photovoltaic (PV) panels and the consequences of that on the characteristics of solar panels, namely electrical, thermal and optical characteristics due to dust accumulation are reviewed briefly. Moreover, the variety of techniques used for cleaning the solar panel are also discussed to choose the best method depending upon the solar plant capacity. The dust property as well as dust deposition rate varies based on the location all over the world. The deposition of dust depends on a variety of factors such as environmental factors, installation factors and installation site. The chapter helps researchers and academicians who are working in the field of factors influencing the dust accumulation on solar panels, and finally the mitigation methods for enhancing the performance of the solar PV panels.
P Pandiyan; S Saravanan; T Chinnadurai; Tiwari Ramji; N Prabaharan; S Umashankar. Mitigation Techniques for Removal of Dust on Solar Photovoltaic System. Electrical and Electronic Devices, Circuits, and Materials 2021, 373 -392.
AMA StyleP Pandiyan, S Saravanan, T Chinnadurai, Tiwari Ramji, N Prabaharan, S Umashankar. Mitigation Techniques for Removal of Dust on Solar Photovoltaic System. Electrical and Electronic Devices, Circuits, and Materials. 2021; ():373-392.
Chicago/Turabian StyleP Pandiyan; S Saravanan; T Chinnadurai; Tiwari Ramji; N Prabaharan; S Umashankar. 2021. "Mitigation Techniques for Removal of Dust on Solar Photovoltaic System." Electrical and Electronic Devices, Circuits, and Materials , no. : 373-392.
Welding process is found to be a predominant procedure in most of the processing industries, especially in the automobile sector for maintenance operation and fabrication. Ultrasonic Polymer Welding (USW) is used for the joining process because of its flexibility and short needed welding time. In this article, two different polymer materials PC and ABS are blended in the ratio of 60:40 and molded into a sheet. Furthermore, molded PC/ABS sheets are joined using USW with different processing parameter settings. Three major influencing process parameters like pressure (P), amplitude (A) and weld time (Tw) are considered and other processing parameters are kept at constant. The experiment is carried out for 26 welded samples and from the obtained results it is noticed that the above-mentioned process parameters directly influence the tensile strength of welded joints. Additionally, the ultrasonically welded samples tensile strength is analyzed with the help of Artificial Neural Network technique (ANN) and Adaptive Neuro-Fuzzy Inference System method (ANFIS). From the simulation results, an optimized ANFIS model provides the superior result as compared to ANN. Moreover, Scanning Electron Microscope analysis is carried out to visualize the weld interface between the joint. Also, Finite Element Modeling (ANSYS) is performed to understand the heat dissipation during the welding process.
T. Chinnadurai; Natarajan Prabaharan; S. Saravanan; M. Karthigai Pandean; P. Pandiyan; Hassan Haes Alhelou. Prediction of Process Parameters of Ultrasonically Welded PC/ABS Material Using Soft-Computing Techniques. IEEE Access 2021, 9, 33849 -33859.
AMA StyleT. Chinnadurai, Natarajan Prabaharan, S. Saravanan, M. Karthigai Pandean, P. Pandiyan, Hassan Haes Alhelou. Prediction of Process Parameters of Ultrasonically Welded PC/ABS Material Using Soft-Computing Techniques. IEEE Access. 2021; 9 ():33849-33859.
Chicago/Turabian StyleT. Chinnadurai; Natarajan Prabaharan; S. Saravanan; M. Karthigai Pandean; P. Pandiyan; Hassan Haes Alhelou. 2021. "Prediction of Process Parameters of Ultrasonically Welded PC/ABS Material Using Soft-Computing Techniques." IEEE Access 9, no. : 33849-33859.
This study proposes a new approach for the detection of broken rotor bar (BRB) fault in three phase induction motor drive using Hilbert transform (HT) and artificial neural networks (ANNs), where the machine is controlled by direct torque control (DTC). HT is preferred to develop the stator current envelope. The sideband frequency and its amplitude of the samples are the input for the ANN. By using fast Fourier transform, the amplitude and frequency components are extracted and the severity of fault is determined by comparing the magnitude of an average of sideband frequency with the fundamental frequency. High accuracy identification of fault is found by ANN, where the results are trained and tested to a minimum mean square error that will detect the number of BRB in the induction motor. DTC is adopted for a suitable control technique in the industrial drives system to maintain good performance in torque control. The performance of the proposed method is verified by using MATLAB/SIMULINK and experimental tests.
Senthil Kumar Ramu; Gerald Christopher Raj Irudayaraj; Saravanan Subramani; Umashankar Subramaniam. Broken rotor bar fault detection using Hilbert transform and neural networks applied to direct torque control of induction motor drive. IET Power Electronics 2020, 13, 3328 -3338.
AMA StyleSenthil Kumar Ramu, Gerald Christopher Raj Irudayaraj, Saravanan Subramani, Umashankar Subramaniam. Broken rotor bar fault detection using Hilbert transform and neural networks applied to direct torque control of induction motor drive. IET Power Electronics. 2020; 13 (15):3328-3338.
Chicago/Turabian StyleSenthil Kumar Ramu; Gerald Christopher Raj Irudayaraj; Saravanan Subramani; Umashankar Subramaniam. 2020. "Broken rotor bar fault detection using Hilbert transform and neural networks applied to direct torque control of induction motor drive." IET Power Electronics 13, no. 15: 3328-3338.
High switching frequency and high voltage gain DC-DC boost converters are required for electric vehicles. In this paper, a new high step-up boost converter (HSBC) is designed for fuel cell electric vehicles (FCEV) applications. The designed converter provides the better high voltage gain compared to conventional boost converter and also reduces the input current ripples and voltage stress on power semiconductor switches. In addition to this, a neural network based maximum power point tracking (MPPT) controller is designed for the 1.26 kW proton exchange membrane fuel cell (PEMFC). Radial basis function network (RBFN) algorithm is used in the neural network controller to extract the maximum power from PEMFC at different temperature conditions. The performance analysis of the designed MPPT controller is analyzed and compared with a fuzzy logic controller (FLC) in MATLAB/Simulink environment.
K. Jyotheeswara Reddy; N. Sudhakar; S. Saravanan; B. Chitti Babu. High Step-Up Boost Converter with Neural Network Based MPPT Controller for a PEMFC Power Source Used in Vehicular Applications. International Journal of Emerging Electric Power Systems 2018, 19, 1 .
AMA StyleK. Jyotheeswara Reddy, N. Sudhakar, S. Saravanan, B. Chitti Babu. High Step-Up Boost Converter with Neural Network Based MPPT Controller for a PEMFC Power Source Used in Vehicular Applications. International Journal of Emerging Electric Power Systems. 2018; 19 (5):1.
Chicago/Turabian StyleK. Jyotheeswara Reddy; N. Sudhakar; S. Saravanan; B. Chitti Babu. 2018. "High Step-Up Boost Converter with Neural Network Based MPPT Controller for a PEMFC Power Source Used in Vehicular Applications." International Journal of Emerging Electric Power Systems 19, no. 5: 1.
Sudha Ramasamy; Damodhar Reddy; Saravanan S.; Chitti Babu B.. Comparative Analysis of RBFN andFuzzy-SVPWM Controller Based Boost TypeVienna Rectifier for 1kW Wind EnergyConversion System. Journal of Green Engineering 2018, 8, 177 -200.
AMA StyleSudha Ramasamy, Damodhar Reddy, Saravanan S., Chitti Babu B.. Comparative Analysis of RBFN andFuzzy-SVPWM Controller Based Boost TypeVienna Rectifier for 1kW Wind EnergyConversion System. Journal of Green Engineering. 2018; 8 (2):177-200.
Chicago/Turabian StyleSudha Ramasamy; Damodhar Reddy; Saravanan S.; Chitti Babu B.. 2018. "Comparative Analysis of RBFN andFuzzy-SVPWM Controller Based Boost TypeVienna Rectifier for 1kW Wind EnergyConversion System." Journal of Green Engineering 8, no. 2: 177-200.
In this paper, a new single switch high step-up dc-dc converter with high voltage gain is proposed. The proposed topology is developed by combining boost and SEPIC converter with diode - capacitor circuit to reduce the stress across the semiconductor devices. The proposed converter produces low switching voltage and hence it improves its efficiency. The operating principle and the steady state performance analysis are discussed. The performance of the converter is validated by developing a prototype circuit with input voltage of 30 V, output voltage of 300 V and output power rating of 250 W. The theoretical analysis and experimental results concludes the proposed converter is suitable for high voltage applications.
S. Saravanan; N. Ramesh Babu. Design and Development of Single Switch High Step-Up DC–DC Converter. IEEE Journal of Emerging and Selected Topics in Power Electronics 2017, 6, 855 -863.
AMA StyleS. Saravanan, N. Ramesh Babu. Design and Development of Single Switch High Step-Up DC–DC Converter. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2017; 6 (2):855-863.
Chicago/Turabian StyleS. Saravanan; N. Ramesh Babu. 2017. "Design and Development of Single Switch High Step-Up DC–DC Converter." IEEE Journal of Emerging and Selected Topics in Power Electronics 6, no. 2: 855-863.
In this article a high step up DC-DC Converter which is integrated with renewable energy resources is proposed. The disadvantage of conventional converters is that it has high duty ratio and high voltage stress across power devices with less efficiency. The proposed methodology uses flyback converter to obtain high static voltage gain to improve the efficiency of the converter by reducing the voltage stress across the switch and diodes. Thus by avoiding the operation of the high duty ratio and recycling of coupled inductor stored energy, the overall efficiency of the converter gets improved.
Ramji Tiwari; Saravanan S; Ramesh Babu N; Gaurav Kumar; Vivek Siwach. Design and development of a high step-up DC-DC Converter for non-conventional energy applications. 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE) 2016, 1 -4.
AMA StyleRamji Tiwari, Saravanan S, Ramesh Babu N, Gaurav Kumar, Vivek Siwach. Design and development of a high step-up DC-DC Converter for non-conventional energy applications. 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE). 2016; ():1-4.
Chicago/Turabian StyleRamji Tiwari; Saravanan S; Ramesh Babu N; Gaurav Kumar; Vivek Siwach. 2016. "Design and development of a high step-up DC-DC Converter for non-conventional energy applications." 2016 Biennial International Conference on Power and Energy Systems: Towards Sustainable Energy (PESTSE) , no. : 1-4.
Photovoltaic (PV) cell based power generation is best alternative developing for fossil fuel as it does not have pollution issues. This paper focuses on performance of boost and Cuk DC/DC converter, used in MPPT based PV system. Perturb and Observe (P&O) technique used to generate duty cycle of converters. The simulation study is performed using MATLAB/Simulink for the PV system and it has been observed that the Cuk converter produces better results compared with boost converter.
S Saravanan; N. Ramesh Babu; Saravanan S.; Babu N.R.. Performance analysis of boost & Cuk converter in MPPT based PV system. 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] 2015, 1 -6.
AMA StyleS Saravanan, N. Ramesh Babu, Saravanan S., Babu N.R.. Performance analysis of boost & Cuk converter in MPPT based PV system. 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]. 2015; ():1-6.
Chicago/Turabian StyleS Saravanan; N. Ramesh Babu; Saravanan S.; Babu N.R.. 2015. "Performance analysis of boost & Cuk converter in MPPT based PV system." 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] , no. : 1-6.