PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design
Design and Development Of Paddy Cutter Using Solar Energy
Design Of Double-Input DC-DC Converter (DIC) Solar PV-Battery Hybrid Power System
Comparison of Harmonics, THD and Temperature Analysis of 3-Phase Induction Motor with Normal Inverter Drive and 5-Level DCMI Drive
Application of Whale Optimization Algorithm for Distribution Feeder Reconfiguration
Detection and Classification of Single Line to Ground Boundary Faults in a 138 kV Six Phase Transmission Line using Hilbert Huang Transform
The Modeling of Analogue Systems through an Object-Oriented Design Method
Circuit Design Techniques for Electromagnetic Compliance
A Technological Forecast for Growth in Solid-State Commercial Lighting using LED Devices
Testing of Analogue Design Rules Using a Digital Interface
Simulation and Transient Analysis of PWM Inverter Fed Squirrel Cage Induction Motor Drives
In this paper a soft switching dc–dc converter with high voltage gain and low over voltage stress and harmonics is proposed. It consists of a ZVS boost converter stage and a ZVS half-bridge converter stage and the two stages are merged into a single stage. The ZVS boost converter stage pro- vides a continuous input current and ZVS operation of the power switches. The ZVS half-bridge converter stage provides a high voltage gain. The principle of operation and the system analysis are presented in this paper. Theoretical analysis and performance of the proposed converter were verified on a 100W experimental prototype operating at 108 kHz switching frequency. Here both the ZVS and ZCS is done. It reduces the overvoltage stress and harmonics.
A development of the techniques for accurately assessing the wind power potential of site is gaining increased significance. This is because of the fact that the planning and establishment of a wind energy system depends upon various factors. Once the details of wind resource is known for potential wind power site, efficient design of a wind energy system demands optimum matching of wind turbines to the potential wind site to obtain higher plant factor. The model which is designed is useful for planning of the wind power stations as it can be applied for accurate assessment of wind power potential at a site. The Weibull model is the most used one and provides good results. However, the accurate determination of the wind speed distribution law constitutes a major problem. Multi Layer Perceptron type Artificial Neural Networks (ANN) are used here for the approximation of the wind speed distribution law. In this paper, site energy characteristic is determined by means of the neural approach and compared with those obtained by the classical method. Distribution law is achieved by the neural model which provides assessments closer to the discrete distribution than the Weibull model.
A novel, high-efficiency inverter using MOSFETs for all active switches is presented for photovoltaic, nonisolated, ac module applications. The proposed H6-type configuration features high efficiency over a wide load range, low ground leakage current, no need for split capacitors, and low-output ac-current distortion. A two stages ac module combining non isolated high step up converter and high efficiency inverter with H6 type configuration used to solve the aforementioned issues. The two stages configuration can significantly reduce the power decoupling capacitance by locating the capacitor in dc link. Detailed power stages operating principle, PWM scheme and novel bootstrap power supply for proposed inverter are described. When the unipolar PWM scheme in used a transformer less PV system.
This paper describes about the single and double stage control of DC traction motor. DC series motors provide excellent control of speed for acceleration and deacceleration and it is used for their simplicity, each of application and favourable cost still in indian country most of the locomotive run with DC motor only because DC series motor is high starting torque with load hence it is preferable for traction purpose. The invention relates generally to traction motor control systems, and relates more particularly to locomotive traction motor suspension and current control systems. In this case describes controlling of single and double stage of DC series traction motor. The simulation and experimental results are done by using MATLAB software package and shows the comparison results.
This paper presents the BrushLess Dc (BLDC) motor sensorless control system. The sensorless techniques are based on a hysteresis comparator, and a potential start-up method with a high starting torque which is suggested. The hysteresis comparator is used to compensate for the phase delay of the back-EMFs due to a Low-Pass Filter (LPF) and also prevent multiple output transitions from noise or ripple in the terminal voltages. The rotor position is aligned at standstill for maximum starting torque without an additional sensor and any information of motor parameters. Also, the stator current can be easily adjusted by modulating the pulse width of the switching devices during the alignment. The life time of the motor is improved by using the sensorless technique.