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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 study, a modified non-uniform adiabatic section in a Two-Phase Closed Thermosiphon (TPCT) is proposed where the uniform section was replaced by convergent and divergent (C-D) sections. The heat transfer analysis was performed on the modified TPCT and their findings were compared with standard TPCT. The deionized water (DI) in the proportion of 30 vol% is filled in both the TPCTs. Further, the heat transfer performance analysis was carried out for three different orientations, such as 0°, 45° and 90°, and heat input was varied from 50 to 250 W. The effect of these geometrical changes and inclination angles on the heat transfer performance of both the TPCT were evaluated to compare the thermal resistance, wall temperature variation and heat transfer coefficient. The non-dimensional numbers such as Weber (WE), Bond (BO), Condensation (CO) and Kutateladze (KU) were investigated based on heat fluxes for both TPCTs. By introducing the convergent-divergent section nearer to the condenser, the pressure before and after the C-D section was increased and decreased. This enhances the heat transfer in the evaporator slightly up to 2% and 1.4% at horizontal and 45° orientation, respectively, in Non-Uniformed Adiabatic Section (NUAS) TPCT when compared to Uniformed Adiabatic Section (UAS) TPCT. The thermal resistance of NUAS TPCT was reduced by up to 4.5% relative to UAS TPCT in horizontal and 45°. The results of the non-dimensional number also confirmed that NUAS TPCT provided better performance by enhancing 2% more pool boiling characteristics, interaction forces and condensate returns. Several factors such as gravity assistance, fluid accumulation, pressure drop and thermal resistance exert an influence on the heat transfer performance of the proposed NUAS TPCT at various orientation angles. However, different type of cross-sectional variations subjected to orientation changes may also get influenced by several other parameters that in turn affect the heat transfer performance distinctly.
Mohanraj Chandran; Rajvikram Madurai Elavarasan; Ramesh Neelakandan; Umashankar Subramaniam; Rishi Pugazhendhi. Influence of Geometrical Changes in an Adiabatic Portion on the Heat Transfer Performance of a Two-Phase Closed Thermosiphon System. Energies 2021, 14, 3070 .
AMA StyleMohanraj Chandran, Rajvikram Madurai Elavarasan, Ramesh Neelakandan, Umashankar Subramaniam, Rishi Pugazhendhi. Influence of Geometrical Changes in an Adiabatic Portion on the Heat Transfer Performance of a Two-Phase Closed Thermosiphon System. Energies. 2021; 14 (11):3070.
Chicago/Turabian StyleMohanraj Chandran; Rajvikram Madurai Elavarasan; Ramesh Neelakandan; Umashankar Subramaniam; Rishi Pugazhendhi. 2021. "Influence of Geometrical Changes in an Adiabatic Portion on the Heat Transfer Performance of a Two-Phase Closed Thermosiphon System." Energies 14, no. 11: 3070.
This paper presents a novel control strategy employing the maximum power point tracking (MPPT) and direct power control strategy (DPC) for permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS). The WECS adopts medium voltage source converter with AC-DC-AC configuration. The 10 MW wind farm is implemented in this paper which consists of 2 MW PMSG’s wind systems. The PMSG’s of the wind farm is connected to the DC collection grid through a DC/DC rectifier topology. The DC collection system is connected to the AC grid using single DC/AC inverter thus providing simple control technique which controls the number of PMSG generators. The output power fluctuations are compensated using direct torque control based maximum power point controller and direct power control. The DC link voltage and the active power injected to AC grid is controlled using grid side controller and the maximum power is extracted using the machine side controller of the wind turbine. Pitch angle control strategy is also used in order to reduce the turbine speed during high wind speed condition. The proposed controller provides aneffective solution for grid integration and constant power flow from the generator system to thegrid system. Simulation results are presented and analyzed the performance of the control strategies implemented in the system.
Ramji Tiwari; K. Kumar; N. Ramesh Babu; K.R. Prabhu. Coordinated MPPT and DPC Strategies for PMSG based Grid Connected Wind Energy Conversion System. Energy Procedia 2018, 145, 339 -344.
AMA StyleRamji Tiwari, K. Kumar, N. Ramesh Babu, K.R. Prabhu. Coordinated MPPT and DPC Strategies for PMSG based Grid Connected Wind Energy Conversion System. Energy Procedia. 2018; 145 ():339-344.
Chicago/Turabian StyleRamji Tiwari; K. Kumar; N. Ramesh Babu; K.R. Prabhu. 2018. "Coordinated MPPT and DPC Strategies for PMSG based Grid Connected Wind Energy Conversion System." Energy Procedia 145, no. : 339-344.
This paper proposes a multi-input single output (MISO) super lift negative output Luo converter for DC grid connected hybrid wind and photo voltaic (PV) system. The proposed converter is developed by sharing the charging capacitor and DC link capacitor between the two super lift negative output Luo converters to form a hybrid system. Therefore, it has the advantage of the simple structure and reduced converter passive components. The proposed converter is designed and then analyzed for the DC grid connected hybrid wind and PV system. This study considers a 500W wind system and a 560W PV system with maximum power point tracking (MPPT) algorithms of perturb& observe (P&O) method for both wind and PV system. The proposed converter effectiveness has been validated and compared with the proportional integral (PI) and P&O control algorithms by using the simulation results. Based on the availability of the wind and PV energy sources, the converter usage is presented.
K. Kumar; Ramji Tiwari; N. Ramesh Babu; K.R. Prabhu. Analysis of MISO Super Lift Negative Output Luo Converter with MPPT for DC Grid Connected Hybrid PV/Wind System. Energy Procedia 2018, 145, 345 -350.
AMA StyleK. Kumar, Ramji Tiwari, N. Ramesh Babu, K.R. Prabhu. Analysis of MISO Super Lift Negative Output Luo Converter with MPPT for DC Grid Connected Hybrid PV/Wind System. Energy Procedia. 2018; 145 ():345-350.
Chicago/Turabian StyleK. Kumar; Ramji Tiwari; N. Ramesh Babu; K.R. Prabhu. 2018. "Analysis of MISO Super Lift Negative Output Luo Converter with MPPT for DC Grid Connected Hybrid PV/Wind System." Energy Procedia 145, no. : 345-350.
This paper proposes an artificial neural network (ANN) based maximum power point tracking (MPPT) control strategy for wind energy conversion system (WECS) implemented with a DC/DC converter. The proposed topology utilizes a radial basis function network (RBFN) based neural network control strategy to extract the maximum available power from the wind velocity. The results are compared with a classical Perturb and Observe (P&O) method and Back propagation network (BPN) method. In order to achieve a high voltage rating, the system is implemented with a quadratic boost converter and the performance of the converter is validated with a boost and single ended primary inductance converter (SEPIC). The performance of the MPPT technique along with a DC/DC converter is demonstrated using MATLAB/Simulink.
Ramji Tiwari; Kumar Krishnamurthy; Ramesh Babu Neelakandan; Sanjeevikumar Padmanaban; Patrick William Wheeler. Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System. Electronics 2018, 7, 20 .
AMA StyleRamji Tiwari, Kumar Krishnamurthy, Ramesh Babu Neelakandan, Sanjeevikumar Padmanaban, Patrick William Wheeler. Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System. Electronics. 2018; 7 (2):20.
Chicago/Turabian StyleRamji Tiwari; Kumar Krishnamurthy; Ramesh Babu Neelakandan; Sanjeevikumar Padmanaban; Patrick William Wheeler. 2018. "Neural Network Based Maximum Power Point Tracking Control with Quadratic Boost Converter for PMSG—Wind Energy Conversion System." Electronics 7, no. 2: 20.
This paper presents the measurement of phase fraction of multiphase using LabVIEW/FPGA&RT. Phase fraction measurement is done by high-frequency gamma ray photons attenuation from multiple scintillation detectors without dead time between dwell intervals. This phase fraction measurement method is based on the differences in the linear or mass attenuation coefficient of components of each phase to light. The electromagnetic wave attenuation based on Beer-Lambert’s law gives the width of individual phases. Even though this method requires shielding, it has the advantages of penetrating through steel. Other phase fraction methods include differences in the permittivity of the components of phases. The voltage across the two electrodes kept opposite to each other determines the phase fraction. But, it has the disadvantages of requirements of special shielding for low capacitance and stray capacitance. Besides, the differences in the conductivity can measure the path resistance. This conductivity change gives phase fraction. Among the above volume—percentage measurement methods, former method is more accurate for industrial applications.
Merina Mathew; N. Ramesh Babu; M. Suresh; P. Sanjeevikumar. High Response Photon-Counting for Phase Fraction Measurement Using Compact-RIO with FPGA. Lecture Notes in Electrical Engineering 2017, 133 -137.
AMA StyleMerina Mathew, N. Ramesh Babu, M. Suresh, P. Sanjeevikumar. High Response Photon-Counting for Phase Fraction Measurement Using Compact-RIO with FPGA. Lecture Notes in Electrical Engineering. 2017; ():133-137.
Chicago/Turabian StyleMerina Mathew; N. Ramesh Babu; M. Suresh; P. Sanjeevikumar. 2017. "High Response Photon-Counting for Phase Fraction Measurement Using Compact-RIO with FPGA." Lecture Notes in Electrical Engineering , no. : 133-137.
This paper focuses on the comparison of perturb and observe (P&O) and adaptive neuro-fuzzy inference system (ANFIS) based maximum power point tracking to track the optimum maximum power from PV system. This article also points out the performance of the boost converter and modified Single-Ended Primary-Inductor Converter (SEPIC) using above two techniques for PV. P&O and ANFIS techniques are used to generate duty cycle of DC/DC converters. The study is performed by using MATLAB/Simulink with the rating of 200 W PV and it has been observed that the modified SEPIC converter based ANFIS produces superior results compared with classical boost converter.
S. Saravanan; N. Ramesh Babu; Padmanaban Sanjeevikumar. Comparative Analysis of DC/DC Converters with MPPT Techniques Based PV System. Lecture Notes in Electrical Engineering 2017, 275 -284.
AMA StyleS. Saravanan, N. Ramesh Babu, Padmanaban Sanjeevikumar. Comparative Analysis of DC/DC Converters with MPPT Techniques Based PV System. Lecture Notes in Electrical Engineering. 2017; ():275-284.
Chicago/Turabian StyleS. Saravanan; N. Ramesh Babu; Padmanaban Sanjeevikumar. 2017. "Comparative Analysis of DC/DC Converters with MPPT Techniques Based PV System." Lecture Notes in Electrical Engineering , no. : 275-284.
A comparative analysis of different types pitch angle controller is designed in this paper to achieve a steady output torque for stable wind turbine operation. The control techniques are implemented and developed to provide a uniform constant torque to the permanent magnet synchronous generator (PMSG). The wind system consists of a wind turbine, a pitch actuator and PMSG. The control strategy used are proportional-integral (PI) and fuzzy logic controller (FLC). The performance of the control strategies is investigated in terms of aerodynamic torque, generator speed and the generator power. The complete wind energy conversion system (WECS) is developed and tested using MATLAB/Simulink. The performance of the control strategies is evaluated under varying wind-speed condition. The performance of the pitch angle controllers is found satisfactory, but the strategy with fuzzy logic-based controller shows better performance as compared to PI controller.
Ramji Tiwari; N. Ramesh Babu; P. Sanjeevikumar. Fuzzy Logic-Based Pitch Angle Controller for PMSG-Based Wind Energy Conversion System. Lecture Notes in Electrical Engineering 2017, 277 -286.
AMA StyleRamji Tiwari, N. Ramesh Babu, P. Sanjeevikumar. Fuzzy Logic-Based Pitch Angle Controller for PMSG-Based Wind Energy Conversion System. Lecture Notes in Electrical Engineering. 2017; ():277-286.
Chicago/Turabian StyleRamji Tiwari; N. Ramesh Babu; P. Sanjeevikumar. 2017. "Fuzzy Logic-Based Pitch Angle Controller for PMSG-Based Wind Energy Conversion System." Lecture Notes in Electrical Engineering , no. : 277-286.
In this paper, a novel fuzzy logic-based control (FLC) strategy is developed to perform multi-function strategy for smooth and controlled operation of three-phase renewable energy system (RES)-based wind energy conversion system (WECS) with grid integration. The inverter acts as an converter to infuse the power obtained from the wind energy and as a active power filter to compensate reactive power demand and load current harmonics. The control strategies in accordance with 3-phase 4-wire unbalanced load tend to appear as a balanced linear load system at grid. The control strategy is developed and validated using MATLAB/Simulink. The proposed controller is compared with PI-based controller and validate that the proposed FLC provide better efficiency by reducing harmonics.
Ramji Tiwari; N. Ramesh Babu; R. Arunkrishna; P. Sanjeevikumar. Comparison Between PI Controller and Fuzzy Logic-Based Control Strategies for Harmonic Reduction in Grid-Integrated Wind Energy Conversion System. Lecture Notes in Electrical Engineering 2017, 297 -306.
AMA StyleRamji Tiwari, N. Ramesh Babu, R. Arunkrishna, P. Sanjeevikumar. Comparison Between PI Controller and Fuzzy Logic-Based Control Strategies for Harmonic Reduction in Grid-Integrated Wind Energy Conversion System. Lecture Notes in Electrical Engineering. 2017; ():297-306.
Chicago/Turabian StyleRamji Tiwari; N. Ramesh Babu; R. Arunkrishna; P. Sanjeevikumar. 2017. "Comparison Between PI Controller and Fuzzy Logic-Based Control Strategies for Harmonic Reduction in Grid-Integrated Wind Energy Conversion System." Lecture Notes in Electrical Engineering , no. : 297-306.
In this paper, a six-switch AC/DC/AC converter is proposed for single-phase wind energy system application. The proposed converter consists of two arms with three switches in each, where the top layer switches are used for the rectification mode and lower layer switches are used for the inversion mode of operation. The middle layer switches are shared by the both rectification and inversion mode operation based on the modified PWM scheme. A small rated DC link capacitor is chosen by providing suitable coordination control and EX-OR gate logic between the rectification and inversion mode of operation. The proposed single-phase six-switch converter has the advantage of both reduced number of switches and small DC link capacitor size. To validate the effectiveness of the proposed converter, simulation results are presented for 1 kW wind system.
K. Kumar; K. R. Prabhu; N. Ramesh Babu; P. Sanjeevikumar. A Novel Six-Switch Power Converter for Single-Phase Wind Energy System Applications. Lecture Notes in Electrical Engineering 2017, 267 -275.
AMA StyleK. Kumar, K. R. Prabhu, N. Ramesh Babu, P. Sanjeevikumar. A Novel Six-Switch Power Converter for Single-Phase Wind Energy System Applications. Lecture Notes in Electrical Engineering. 2017; ():267-275.
Chicago/Turabian StyleK. Kumar; K. R. Prabhu; N. Ramesh Babu; P. Sanjeevikumar. 2017. "A Novel Six-Switch Power Converter for Single-Phase Wind Energy System Applications." Lecture Notes in Electrical Engineering , no. : 267-275.
In this paper, a novel co-ordinated hybrid maximum power point tracking (MPPT)-pitch angle based on a radial basis function network (RBFN) is proposed for a variable speed variable pitch wind turbine. The proposed controller is used to maximise output power when the wind speed is low and optimise the power when the wind speed is high. The proposed controller provides robustness to the nonlinear characteristic of wind speed. It uses wind speed, generator speed, and generator power as input variables and utilises the duty cycle and the reference pitch angle as the output control variables. The duty cycle is used to control the converter so as to maximise the power output and the reference pitch angle is used to control the generator speed in order to control the generator output power in the above rated wind speed region. The effectiveness of the proposed controller was verified using MATLAB/Simulink software.
Ramji Tiwari; Sanjeevikumar Padmanaban; Ramesh Babu Neelakandan. Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System. Energies 2017, 10, 1493 .
AMA StyleRamji Tiwari, Sanjeevikumar Padmanaban, Ramesh Babu Neelakandan. Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System. Energies. 2017; 10 (10):1493.
Chicago/Turabian StyleRamji Tiwari; Sanjeevikumar Padmanaban; Ramesh Babu Neelakandan. 2017. "Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System." Energies 10, no. 10: 1493.
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 paper, a radial basis function network-based single maximum power point tracking (MPPT) control algorithm for a hybrid solar and wind energy system is designed and analyzed for standalone and grid connected applications. The extraction of maximum power from the intermittent and erratic nature renewable energy sources is the main target in the hybrid renewable energy system. In the literature, many researchers developed an individual MPPT control algorithm for solar and wind energy system, which in turn increases the number of control algorithms in a hybrid system. In this paper, a single MPPT controller is proposed to extract maximum power from both the sources simultaneously. The performance of the proposed MPPT control algorithm is analyzed in both standalone and grid connected modes, under different weather conditions. The hybrid renewable energy system is designed by considering 560-W photovoltaic system and 500-W wind system with the conventional boost converter, and it is simulated in MATLAB/Simulink environment to analyze the performance of the proposed MPPT controller.
K. Kumar; N. Ramesh Babu; K. R. Prabhu. Design and Analysis of RBFN-Based Single MPPT Controller for Hybrid Solar and Wind Energy System. IEEE Access 2017, 5, 15308 -15317.
AMA StyleK. Kumar, N. Ramesh Babu, K. R. Prabhu. Design and Analysis of RBFN-Based Single MPPT Controller for Hybrid Solar and Wind Energy System. IEEE Access. 2017; 5 ():15308-15317.
Chicago/Turabian StyleK. Kumar; N. Ramesh Babu; K. R. Prabhu. 2017. "Design and Analysis of RBFN-Based Single MPPT Controller for Hybrid Solar and Wind Energy System." IEEE Access 5, no. : 15308-15317.
Ramji Tiwari; Ramesh Babu. N. Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System. International Journal of Intelligent Systems and Applications 2017, 9, 62 -73.
AMA StyleRamji Tiwari, Ramesh Babu. N. Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System. International Journal of Intelligent Systems and Applications. 2017; 9 (5):62-73.
Chicago/Turabian StyleRamji Tiwari; Ramesh Babu. N. 2017. "Comparative Analysis of Pitch Angle Controller Strategies for PMSG Based Wind Energy Conversion System." International Journal of Intelligent Systems and Applications 9, no. 5: 62-73.
Velappagari Sekhar; Ramesh Babu N. Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System. Journal of Green Engineering 2017, 6, 369 -384.
AMA StyleVelappagari Sekhar, Ramesh Babu N. Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System. Journal of Green Engineering. 2017; 6 (4):369-384.
Chicago/Turabian StyleVelappagari Sekhar; Ramesh Babu N. 2017. "Modified Fuzzy Logic Based Control Strategy for Grid Connected Wind Energy Conversion System." Journal of Green Engineering 6, no. 4: 369-384.
Renewable energy technique is gaining more interest due to increasing demand and threat zero carbon foot prints. The energy from wind has a high potential as a source of energy. The growing demand of wind energy tends to produce a quality output power in terms of grid integration. An appropriate controller is required to control the power produce by the wind energy. A decent number of research publications reports had reviewed maximum power point tracking (MPPT), grid side controller (GSC) and machine side controller (MSC) associated with wind energy conversion system (WECS). However survey on pitch angle based control has not been focused exclusively in any such reviews. A concise review of pitch angle controller, maximum power extraction control and grid synchronisation controller is analysed in this paper. Thus, this paper presents a comprehensive review of overall control strategies for wind energy conversion control. The review paper is intended to provide a suitable reference for further research in the field of wind energy.
Ramji Tiwari; N. Ramesh Babu. Recent developments of control strategies for wind energy conversion system. Renewable and Sustainable Energy Reviews 2016, 66, 268 -285.
AMA StyleRamji Tiwari, N. Ramesh Babu. Recent developments of control strategies for wind energy conversion system. Renewable and Sustainable Energy Reviews. 2016; 66 ():268-285.
Chicago/Turabian StyleRamji Tiwari; N. Ramesh Babu. 2016. "Recent developments of control strategies for wind energy conversion system." Renewable and Sustainable Energy Reviews 66, no. : 268-285.
This paper proposes a neural network (NN) based maximum power point tracking (MPPT) algorithm for photovoltaic (PV) system with a high step–up converter design. The proposed methodology uses Radial Basis Function Network (RBFN) in NN algorithm for MPPT and the results are compared with classical perturb and observe (P&O) method and incremental conductance (INC) method. Also, to improve the voltage rating, a new modified Single Ended Primary Inductor Converter (SEPIC) is proposed and the results are validated with boost and SEPIC converter. The performance of the proposed algorithm is verified for various irradiance and temperature conditions.
S. Saravanan; N. Ramesh Babu. RBFN based MPPT algorithm for PV system with high step up converter. Energy Conversion and Management 2016, 122, 239 -251.
AMA StyleS. Saravanan, N. Ramesh Babu. RBFN based MPPT algorithm for PV system with high step up converter. Energy Conversion and Management. 2016; 122 ():239-251.
Chicago/Turabian StyleS. Saravanan; N. Ramesh Babu. 2016. "RBFN based MPPT algorithm for PV system with high step up converter." Energy Conversion and Management 122, no. : 239-251.
In this paper, a comparative analysis of different control methods to extract the maximum power from Permanent Magnet Synchronous Generator (PMSG) based Wind Energy Conversion System (WECS) under different wind speed condition is presented. The WECS consists of a wind turbine, a PMSG and a DC/DC converter which is connected to a DC load. The Maximum Power Point Tracking (MPPT) control technique compared here are Proportional Integral (PI) control, Perturb and Observe (P&O) method and Fuzzy Logic Controller (FLC). The parameters considered for analysing the efficiency of the MPPT controller is the output DC voltage and power across the load. The steady state voltage and the dynamic response of the system under different wind speed is considered to justify the overall efficiency of the controllers. The system is designed and configured in MATLAB/SIMULINK software and the results are validated.
Ramji Tiwari; N Ramesh Babu. Fuzzy Logic Based MPPT for Permanent Magnet Synchronous Generator in wind Energy Conversion System. IFAC-PapersOnLine 2016, 49, 462 -467.
AMA StyleRamji Tiwari, N Ramesh Babu. Fuzzy Logic Based MPPT for Permanent Magnet Synchronous Generator in wind Energy Conversion System. IFAC-PapersOnLine. 2016; 49 (1):462-467.
Chicago/Turabian StyleRamji Tiwari; N Ramesh Babu. 2016. "Fuzzy Logic Based MPPT for Permanent Magnet Synchronous Generator in wind Energy Conversion System." IFAC-PapersOnLine 49, no. 1: 462-467.
In recent years, power quality has become the main concern in power system engineering. Classification of power system faults is the first stage for improving power quality and ensuring the system protection. For this purpose a robust classifier is necessary. In this paper, classification of power system faults using Empirical Mode Decomposition (EMD) and Support Vector Machines (SVMs) is proposed. EMD is used for decomposing voltages of transmission line into Intrinsic Mode Functions (IMFs). Hilbert Huang Transform (HHT) is used for extracting characteristic features from IMFs. A multiple SVM model is introduced for classifying the fault condition among ten power system faults. Algorithm is validated using MATLAB/SIMULINK environment. Results demonstrate that the combination of EMD and SVM can be an efficient classifier with acceptable levels of accuracy.
N. Ramesh Babu; B. Jagan Mohan. Fault classification in power systems using EMD and SVM. Ain Shams Engineering Journal 2015, 8, 103 -111.
AMA StyleN. Ramesh Babu, B. Jagan Mohan. Fault classification in power systems using EMD and SVM. Ain Shams Engineering Journal. 2015; 8 (2):103-111.
Chicago/Turabian StyleN. Ramesh Babu; B. Jagan Mohan. 2015. "Fault classification in power systems using EMD and SVM." Ain Shams Engineering Journal 8, no. 2: 103-111.
In this paper, the nonlinear autoregressive model with exogenous inputs (NARX) is proposed for wind speed forecast. Forecasting wind speed is a challenging task in wind energy research domain which influences the dynamic control of wind turbine and for system scheduling. The aim of this study is to obtain suitable forecast model for wind speed with time series input variables such as wind direction, humidity, pressure and time. The meteorological data observed with 15 minute time intervals is used for the model and the performance is evaluated and compared with the back propagation neural network (BPNN). The result shows that the proposed model outperforms the BPNN based on the metrics used.
Babu. N Ramesh; P Arulmozhivarman. Dynamic Neural Network Based Very Short-Term Wind Speed Forecasting. Wind Engineering 2014, 38, 121 -128.
AMA StyleBabu. N Ramesh, P Arulmozhivarman. Dynamic Neural Network Based Very Short-Term Wind Speed Forecasting. Wind Engineering. 2014; 38 (2):121-128.
Chicago/Turabian StyleBabu. N Ramesh; P Arulmozhivarman. 2014. "Dynamic Neural Network Based Very Short-Term Wind Speed Forecasting." Wind Engineering 38, no. 2: 121-128.