Papers by Asst. Prof., EEE Vel Tech, Chennai
Springer Nature Link, 2021
The objective of the paper is to analyse and compare the performance of three-phase Cuk-based inv... more The objective of the paper is to analyse and compare the performance of three-phase Cuk-based inverter with PWM and SPWM techniques in the aspects of power quality using MATLAB/Simulink. In three-phase inverters configuration, a distinct method known as single-stage inverters, which has less control circuit complexity and requires minimum number of switching components, is implemented for this comparative analysis. Three-phase Cuk inverter is one of the capable methods to implement in grid-integrated and stand-alone applications. The normal PWM technique involves modulation of 50 Hz square wave with high frequency switching pulses, which was introduced originally for the inverters. Here, 125 kHz pulses are selected as high frequency switching pulses. In SPWM technique, a 50 Hz sine wave is modulated by high frequency switching pulses. Since sinusoidal signal is selected as modulating signal in SPWM, the harmonics are reduced when compared to other PWM control techniques.
Sciencedirect, 2021
Now a days, Electric Vehicles (EVs) are familiar with abundant types of battery chemistries with ... more Now a days, Electric Vehicles (EVs) are familiar with abundant types of battery chemistries with different specifications. Battery Management System (BMS) is an essential and important device of an EV for smooth operation and long life. In present scenario, a separate BMS has been used for the particular battery. So, there is a need of a common BMS for all type of EVs. This paper proposes a simulation design of common BMS for four different batteries namely Nickel-Metal-Hydride, Nickel-Cadmium, Lithium-Ion and Lead-Acid. A common simulation and mathematical modelling of aforementioned four types of battery is executed here. The proposed system is designed to manipulate and control the instantaneous values of the battery parameters like Battery voltage, Current, Power consumption and State of Charge (SoC). This proposed BMS continuously monitors the battery parameters with high accuracy, especially in SoC measurement. The working of BMS is controlled and monitored by using Extended Kalman Filter (EKF). The entire mathematical modelling and simulation work of BMS is analysed by using MATLAB/Simulink.
Springer Nature Link, 2022
In this paper, a standalone Photovoltaic (PV) system with Hybrid Energy Storage System (HESS) whi... more In this paper, a standalone Photovoltaic (PV) system with Hybrid Energy Storage System (HESS) which consists of two energy storage devices namely Lithium Ion Battery (LIB) bank and Supercapacitor (SC) pack for household applications is proposed. The design of standalone PV system is carried out by considering the average solar radiation of the selected city. During the frequent load variation conditions, the Supercapacitor can discharge its energy since it can discharge high current with less time and during constant load condition LIBs take care of supplying required energy to the load. In this system, P&O algorithm is used for Maximum Power Point Tracking (MPPT) to achieve higher efficiency. MATLAB-Simulink is used to evaluate the performance of the proposed standalone PV system with HESS under various solar irradiance as well as AC loading conditions.
IEEE, 2024
In an electric power system, the main goal of Hydrothermal Generation Scheduling (HTGS) is to eff... more In an electric power system, the main goal of Hydrothermal Generation Scheduling (HTGS) is to effectively manage hydrothermal unit power generation while abiding by system restrictions. The scheduling timeframe can range from a single day to multiple days. HTGS poses a challenging optimization problem due to its non-linear, non-convex, and non-smooth nature, making traditional techniques less effective. To address this complexity, a novel Osprey Optimization Algorithm (OAA) is introduced in this study. The algorithm is structured around three key stages: Initialization, Position Identification, and Fish Hunting and Transport to Optimal Locations. Notably, the OAA algorithm stands out for its unique feature of not requiring algorithmic tuning parameters, thereby expanding the search space for achieving optimal solutions. The effectiveness of the proposed OAA algorithm is demonstrated through its application to a test system comprising four hydro and three thermal units, with simulation results compared against recent experimental findings in the literature.
IEEE
Artificial intelligence-driven models demonstrate robustness and comprehensiveness across various... more Artificial intelligence-driven models demonstrate robustness and comprehensiveness across various application domains and prediction timeframes. Introducing a novel algorithm, Walrus Optimization Techniques (Walrus_OT), inspired by the natural behavior of walruses. This research aims to utilize both linear and non-linear models to predict electricity consumption by leveraging economic coefficients. Focusing on Tamil Nadu as a case study, factors such as population, GDP, and individual income are incorporated as independent variables. Forecasts are extended up to 2031, employing average scenarios to predict future electricity consumption. To assess model performance, It is suggested to use a complete reference range for Mean Absolute Percentage Error (MAPE). The analysis shows that nonlinear models is preferred for yearly power consumption predictions. These models provide the least MAPE for future projections in addition to clarifying the connection between consumption data and influencing variables. This study creates a basis for comparing different electric consumption forecasting techniques and provides insightful information for researchers choosing models.
IEEE, 2024
In this proposed model, an IGBT based inverter is employed to regulate the speed of a Three Phase... more In this proposed model, an IGBT based inverter is employed to regulate the speed of a Three Phase Induction Motor (TPIM). The effectiveness of the proposed system is evaluated in both closed and open loop control. A novel hybrid Pulse Width Modulation (PWM) controller is designed to regulate the output of the inverter. The sinusoidal PWM (SPWM) signals are used to control ON/OFF switching state of the six IGBTs which will function as the switches of three-phase inverter. The inverter works at 180° conduction mode which is preferred since each switch can be utilised better in this mode of conduction. Selective Harmonic Elimination (SHE) and Three-phase harmonic filter is implemented to reduce the Total Harmonic Distortion (THD) which is hybrid with the SPWM inverter. The idea of opposite harmonic injection is used for implementing SHE PWM method. The study has been done to investigate the speed control both above and below the rated speed of the induction motor. The control strategy is developed using Simulink and the simulation outputs illustrates the effectiveness of the system.
IEEE, 2024
For the generation of electrical energy, breeze energy is a trustworthy and talented renewable vi... more For the generation of electrical energy, breeze energy is a trustworthy and talented renewable vitality basis. An innovative proposal with many scientific and economic benefits is using wind source technology to charge electric vehicles. Worldwide, the market for Wind Energy Conversion System (WECS) has been expanding significantly. High-quality output power is commonly produced when wind energy demand grows. WECS has significant modelling, control, and grid integration issues as a result of the intermittent nature of wind energy. A proper controller mechanism has to be created in order to significantly improve WECS. An innovative method for maximizing the power of wind energy founded on Radial Basis Function Neural Networks (RBFNN) is proposed in this study to increase the power of Double Fed Induction Generators (DFIG). DFIG based wind turbine, and to provide outstanding dynamic performance in response to breeze rapidity fluctuations. MPPT is a strong algorithm that operates around an ideal rotating speed by utilizing RBFNN for mechanical speed control. We evaluated the performance of DFIG founded WECS with MATLAB/Simulink. The RBFNN efficiency is 91% when comparing MPPT controllers.
Springer, 2024
The deployment of grid connected photovoltaic (PV) systems has become increasingly vital in the p... more The deployment of grid connected photovoltaic (PV) systems has become increasingly vital in the pursuit of sustainable and renewable energy sources. As the global demand for electricity rises, the efficient and reliable incorporation of PV power into electrical grid is of paramount importance. An elementary Luo converter is employed here to enhance the resultant voltage of PV array. To further improve the system’s performance, a Grey Wolf optimized radial basis function neural network (GWO-RBFNN) is employed for maximum power point tracking (MPPT). The GWO algorithm is employed to fine-tune output of RBFNN, making it capable of adaptively extract maximum power. According to the obtained MPP, the input signals to the pulse width modulation generator is tuned using the proposed hybrid MPPT controller. These pulses regulates the operation of elementary Luo converter and guarantees maximum energy conversion efficiency. The converter’s DC link voltage is subsequently subject into grid through a single-phase voltage source inverter which is synchronized with the grid. To facilitate seamless grid integration and synchronization, a conventional proportional integral (PI) controller is deployed. The simulation outputs attained using Matlab results in a robust and efficient system, capable of contributing reliable renewable energy to the grid. The tracking efficiency of the proposed hybrid MPPT controller reaches up to 98.1% and the THD value is reduced to 2.95% which indicates the power quality of the proposed system.
Springer, 2022
Design and validation of a single-phase buck-boost inverter with Grey Wolf optimization algorithm... more Design and validation of a single-phase buck-boost inverter with Grey Wolf optimization algorithm under partial shaded conditions | SpringerLink
International Journal of Power Electronics and Drive Systems(IJPEDS), 2023
Power generation is challenged to meet energy demand during peak hours. As a result of limited no... more Power generation is challenged to meet energy demand during peak hours. As a result of limited non-renewable energy resources, power utilities heavily rely on fossil fuels. Therefore, scientists and researchers are looking for some distributed generators to provide additional power during peak hours. During such period, load demand is solved using solar power. As a consequence, gridconnected solar photovoltaic (PV) systems are catching the attention owing to their ability to significantly reduce the use of fossil fuels. Under partial shading condition (PSC), this paper utilizes Luo converter along with cascaded artificial neural network (ANN), which is a machine learning based maximum power point tracking (ML-MPPT) approach for tracking optimal power from PV system. The gained DC supply is converted into AC voltage using 1 Φ VSI attached to the system. In addition, PI controller engaged controls the voltage at grid side and results in effective grid synchronization. Furthermore, MATLAB/Simulink analysis is carried out and the outcomes reveal the effectiveness of proposed system with 98% efficiency under different PV circumstances.
Solar Photovoltaic (PV) system based power generation is going to become the major power source i... more Solar Photovoltaic (PV) system based power generation is going to become the major power source in the following few decades. Because of the advantages such as reliability, cleanliness, feasibility in small scale to medium scale power generation etc., Solar Photovoltaic (PV) based power generation is developing very rapidly. Hybrid MPPT control methods are essential to track and achieve maximum power generation from solar PV systems under normal and Partially Shaded Conditions (PSC). The proposed Hybrid Grey Wolf Optimization (GWO) algorithm with Adaptive Neuro-Fuzzy Inference System (ANFIS) will effectively tracks the Maximum Power Point when compared to the conventional hybrid MPPT methods. Luo converter is employed as DC-DC converter to convert the variable DC output from solar panel into a nominal DC level. The Luo converter output is given to a single phase Voltage Source Inverter (VSI) and the inverter is connected to grid. The Arithmetic Optimization Algorithm (AOA) tuned Fractional order Proportional Integral controller (FOPI) is adopted to maintain the stability of the grid connected inverter. The tracking efficiency of the proposed system is maintained around 98 % even under different irradiance conditions with very less convergence time of 0.016 s.
International Journal of Power Electronics and Drive Systems (IJPEDS), 2023
Power generation is challenged to meet energy demand during peak hours. As a result of limited no... more Power generation is challenged to meet energy demand during peak hours. As a result of limited non-renewable energy resources, power utilities heavily rely on fossil fuels. Therefore, scientists and researchers are looking for some distributed generators to provide additional power during peak hours. During such period, load demand is solved using solar power. As a consequence, grid-connected solar Photovoltaic (PV) systems are catching the attention owing to their ability to significantly reduce the use of fossil fuels. Under Partial Shading Condition (PSC), this paper utilizes Luo Converter along with Cascaded Artificial Neural Network (ANN), which is a Machine Learning Based Maximum Power Point Tracking (ML-MPPT) approach for tracking optimal power from PV system. The gained DC supply is converted into AC voltage using VSI attached to the system. In addition, PI controller engaged controls the voltage at grid side and results in effective grid synchronization. Furthermore, MATLAB Simulink analysis is carried out and the outcomes reveal the effectiveness of proposed system with 98% efficiency under different PV circumstances.
IEEE, 2022
An innovative multilevel inverter is projected in this paper with the integration of packed U cel... more An innovative multilevel inverter is projected in this paper with the integration of packed U cell and level doubling network. The inverter uses a single DC source and two floating capacitors per phase to provide multilevel output voltage. The voltage across capacitors establishes an unequal ratio along with the available de source. The desired voltage of the capacitor is reached with natural balancing of the capacitor without using any sensors and thus the intermediate dc voltage levels are produced. Hence the proposed topology improves the power quality, reduces the switch count, size and cost when compared to another topology. Operation of the circuits verified by simulations in MATLAB/Simulink.
International Journal of Recent Technology and Engineering (IJRTE), 2019
This paper proposes a 1Φ 31 level inverter using minimum number of switching devices and improved... more This paper proposes a 1Φ 31 level inverter using minimum number of switching devices and improved THD level. Multi Carrier based Pulse Width-Modulation (MC-PWM) control method is used to control MOSFET switches in input and load side. In this paper a modified hybrid asymmetrical multilevel inverter using eight numbers of switching devices driven by the multicarrier modulation technique is proposed. This inverter produces thirty one levels at output from four different dc voltage sources. Also THD level is taken into consideration to maintain the power quality. The proposed 31 level inverter is verified through MATLAB simulink.
IEEE Conference - 7th International Conference on Electrical Energy Systems, 2021
Induction motor drives are the
indispensable choice for the constant as well as
variable speed ap... more Induction motor drives are the
indispensable choice for the constant as well as
variable speed applications due to evolution of the
power electronics based sophisticated precise control
systems. On the other hand, they offer consistent
performance in any operating environment with less
maintenance cost. However, faults are inevitable to
occur and usually arbitrary in nature, so the detection
of the faults well in advance is of paramount
importance, especially the ones that can cause severe
damage to the machine. This paper attempts to
simulate the faults utilizing Fast Fourier Transform
and Wavelet signal processing techniques for
analysing the signals and diagnosing the fault
condition. Further it will present that the Wavelets
provide information on the localization of fault and
stand out from the other techniques, especially for
identifying the faults at the start-up of the drive.
Another and most important advantage of Wavelets is
that it diagnoses the fault at incipient level, which helps
in reconfiguration of drive without shut down if load
condition permits. Diagnosis of fault at incipient level
is most sought in process control industries.
Keywords: Fault diagnosis, incipient fault, fault at
start-up, faults under transient condition, external
faults, FFT, and Wavelets.
6th International Conference for Convergence in Technology, 2021
Space-vector methods for two/three level inverters involve computation of dwell times for synthes... more Space-vector methods for two/three level inverters involve computation of dwell times for synthesizing the reference space vector which is practically impossible for high resolution inverters. Moreover, density of space vectors in the space vector diagrams for high resolution inverters is very high and that computation of dwell times may not be necessary. So, nearest space vector approach is used for controlling high resolution inverters. This paper presents a different approach to find the nearest spacevector algorithm for high-resolution multilevel inverters. The method finds coordinates of all the space vectors in the vicinity of a given reference space vector and determines the nearest one and thus controls the inverter. Working of the control strategy is verified by simulations in MATLAB/Simulink
INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, 2020
The advent of Power Electronic Devices capable of handling high currents, aided the design of Var... more The advent of Power Electronic Devices capable of handling high currents, aided the design of Variable frequency drive (VFD) with Induction motor or inverter fed induction motor drive, which can be characterized by increased reliability and reduced cost. Though taken care highly, such type of drive system is prone for different kinds of faults. When fault occurs, the drive operation has to be stopped if it is designed for general fault detection. The cost of this schedule can be high, and this justifies the development of incipient fault diagnosis. Finding the fault immediately after it occurs is general method of diagnosing the fault. In this case the damage occurs to component or system. If the fault is detected just before it damages the component or system is much better than general fault diagnosis. i.e. diagnosing the fault at developing stage. It saves the system or component from damage. In turn the cost of damage is reduced. This is called the incipient fault detection. In this paper, general fault detection as well as incipient fault detection using the wavelets has been simulated using MATLAB/SIMULINK package. Simulation results are presented showing both the general fault detection and incipient fault detection using the Wavelets.
This paper is written with respect to the modeling of DC Micro grid using solar panel and backup ... more This paper is written with respect to the modeling of DC Micro grid using solar panel and backup generator by applying Hybrid Optimization Model for Electric Renewable (HOMER) pro software tool to supply cost effective and reliable independent power to a limited number of rural communities that used specific type of DC loads. The model area was selected ahead of the modeling and analysis process and indicated on Map using the HOMER pro area search facility. A generator that used Methanol was added to the system to enable the designed model more reliable. The contribution of each source type was analyzed in detail in the analysis section of the paper. It showed that the contribution of the generator is insignificant as compared to the contribution of the solar panel in supplying the loads. This paper mainly focused in analyzing the primary and secondary simulation data outputs by considering the base and current model systems. The base model system contained the solar panel and battery storage only. Whereas the current model system contained the solar panel, battery storage and generator. The optimal operation shows a unit cost of Rs. 0.125/kWh with the selected energy system with 100% renewable energy contribution eliminating the need for conventional generator. The developed model helped in sizing the components of the energy system and decides the optimal combination for electrification of the rural village in Navamalai, Aliyar region, Coimbatore District, India by DC power. Final conclusion reached based on the identified optimal model and analysis.
International Journal of Recent Technology and Engineering, 2019
This paper proposes a 1Φ 31 level inverter using minimum number of switching devices and improved... more This paper proposes a 1Φ 31 level inverter using minimum number of switching devices and improved THD level. Multi Carrier based Pulse Width-Modulation (MC-PWM) control method is used to control MOSFET switches in input and load side. In this paper a modified hybrid asymmetrical multilevel inverter using eight numbers of switching devices driven by the multicarrier modulation technique is proposed. This inverter produces thirty one levels at output from four different dc voltage sources. Also THD level is taken into consideration to maintain the power quality. The proposed 31 level inverter is verified through MATLAB simulink.
International Journal of Pure and Applied Mathematics, 2018
In real world there is a need of high voltage dc supply in electric traction, HVDC transmission e... more In real world there is a need of high voltage dc supply in electric traction, HVDC transmission etc. To convert ac to dc normally bridge rectifiers are used. There are some problems created due to the use of more number of power electronic components like high switching voltage stress, complexity of circuit control and poor power factor. In conventional bridge rectifiers the total harmonic distortion (THD), electromagnetic interferences also in considerable level. The required number of electronic devices also high in bridge type rectifiers. To compensate these drawbacks a bridgeless SEPIC PFC rectifier is proposed. This proposed converter will converts ac into dc without using
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Papers by Asst. Prof., EEE Vel Tech, Chennai
indispensable choice for the constant as well as
variable speed applications due to evolution of the
power electronics based sophisticated precise control
systems. On the other hand, they offer consistent
performance in any operating environment with less
maintenance cost. However, faults are inevitable to
occur and usually arbitrary in nature, so the detection
of the faults well in advance is of paramount
importance, especially the ones that can cause severe
damage to the machine. This paper attempts to
simulate the faults utilizing Fast Fourier Transform
and Wavelet signal processing techniques for
analysing the signals and diagnosing the fault
condition. Further it will present that the Wavelets
provide information on the localization of fault and
stand out from the other techniques, especially for
identifying the faults at the start-up of the drive.
Another and most important advantage of Wavelets is
that it diagnoses the fault at incipient level, which helps
in reconfiguration of drive without shut down if load
condition permits. Diagnosis of fault at incipient level
is most sought in process control industries.
Keywords: Fault diagnosis, incipient fault, fault at
start-up, faults under transient condition, external
faults, FFT, and Wavelets.
indispensable choice for the constant as well as
variable speed applications due to evolution of the
power electronics based sophisticated precise control
systems. On the other hand, they offer consistent
performance in any operating environment with less
maintenance cost. However, faults are inevitable to
occur and usually arbitrary in nature, so the detection
of the faults well in advance is of paramount
importance, especially the ones that can cause severe
damage to the machine. This paper attempts to
simulate the faults utilizing Fast Fourier Transform
and Wavelet signal processing techniques for
analysing the signals and diagnosing the fault
condition. Further it will present that the Wavelets
provide information on the localization of fault and
stand out from the other techniques, especially for
identifying the faults at the start-up of the drive.
Another and most important advantage of Wavelets is
that it diagnoses the fault at incipient level, which helps
in reconfiguration of drive without shut down if load
condition permits. Diagnosis of fault at incipient level
is most sought in process control industries.
Keywords: Fault diagnosis, incipient fault, fault at
start-up, faults under transient condition, external
faults, FFT, and Wavelets.
UNIT I - SYNCHRONOUS RELUCTANCE MOTORS
Constructional features – Types – Axial and Radial flux motors – Operating principles – Variable Reluctance and Hybrid Motors – SYNREL Motors – Voltage and Torque Equations - Phasor diagram- Characteristics.
UNIT II - STEPPING MOTORS
Constructional features – Principle of operation – Variable reluctance motor – Hybrid motor – Single and multi stack configurations – Torque equations – Modes of excitations – Characteristics – Drive circuits – Microprocessor control of stepping motors – Closed loop control.
UNIT III - SWITCHED RELUCTANCE MOTORS
Constructional features – Rotary and Linear SRMs - Principle of operation – Torque production – Steady state performance prediction- Analytical method -Power Converters and their controllers –Methods of Rotor position sensing – Sensorless operation – Closed loop control of SRM -Characteristics.
UNIT IV - PERMANENT MAGNET BRUSHLESS D.C. MOTORS
Permanent Magnet materials – Magnetic Characteristics – Permeance coefficient -Principle of operation – Types – Magnetic circuit analysis – EMF and torque equations –Commutation – Power controllers – Motor characteristics and control.
UNIT V - PERMANENT MAGNET SYNCHRONOUS MOTORS
Principle of operation – Ideal PMSM – EMF and Torque equations – Armature reaction MMF – Synchronous Reactance – Sinewave motor with practical windings - Phasor diagram – Torque/speed characteristics - Power controllers - Converter Volt-ampere requirements.