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, order reduction of power system model using Particle Swarm Optimization (PSO) and Differential Evolution (DE) based on different objectives is considered. In the literature, model reduction problems using soft computing techniques are solved based on only by the minimization of Integral square error (ISE) where large errors between original and reduced order are magnified. But there are other performance indices like Integral absolute error (IAE), Integral time absolute error (ITAE) etc. where IAE gives equal weights to both small and large errors and ITAE puts a heavy penalty on errors that persist for long period of time. Model reductions using PSO and DE are solved based on single ISE, IAE and ITAE objectives for numerator. The denominator is reduced by dominant pole retention method. The proposed method is applied to the transfer function matrix of a 10th order two-input two-output linear time invariant model of a power system. The performance of the algorithms is tested by comparing the relevant simulation results.
In this paper, a new single-phase cascaded multilevel inverter is proposed. This structure consists of series connection of proposed basic unit blocks which are built with both unidirectional and bidirectional switches. It can generate only positive Levels at the output. Therefore, an H-bridge is added to the proposed inverter. This inverter is called developed cascaded multilevel inverter. The proposed topology requires lesser number of power switches, drive circuits and dc voltage sources that lead to reduction installation space and cost of the inverter. Thus the simulation has been carried out for various modulation indices using MATLAB/SIMULINK and the results were verified.
The Pulse Width Modulation (PWM) inverter fed Induction (IM) is widely used in the variable speed drives applications these days with more efficient performance. In the present time, the developments in power electronics and semiconductor technology have led to prevalent use of power electronic converters in the electric drive systems. Many PWM techniques are being used to obtain variable voltage and frequency supply from a three-phase voltage source inverter. The sinusoidal PWM technique has been widely accepted by the researchers, academicians and in the industries [1-4]. But in the present time, space vector PWM (SVPWM) trend is increasing because of their easy digital realization, low switching losses, reduced harmonics with better dc bus utilization. The main advantage of SVPWM is that it reduces harmonic content in the line to line voltage and increases fundamental output voltage by approximately 15% with smooth control of induction motor. In the present paper, the authors have proposed and developed open and closed loop SVPWM inverter fed Induction motor model in the latest MATLAB/Simulink environment. It has also been observed that the closed loop model gives better results as compared to open loop model. Further, the V/f control and Total Harmonic Distortion (THD) analysis has been carried out.
The information on network capability is required for demanding use of the network reliably. Hence, fast and accurate methodologies are needed for computation of network capability. Available Transfer Capability (ATC) is the measure of system capability which remains with the system for further transactions. Generally, the methodologies for computation of linear ATC are not considering the effect of reactive power flows in the network. In this paper, a methodology which considers the reactive power flows for the Enhancement of Linear ATC (ELATC) is presented. In this paper, a novel concept of ATC and its cost allocation based on power transactions is proposed. The sample 3 bus system is used as a case study for theoretical analysis. Another case study i.e., IEEE 14 bus system is used for simulation analysis. The MATLAB program has been developed and the simulation results are presented and compared.
This paper deals with the performance of a wind energy conversion system operating as a power generator and Active filter simultaneously. As a power generator, the wind energy conversion system converts wind energy into electrical energy; as an active filter, it sinks the harmonic currents injected by Non linear load connected at the same feeder. This study is intended to two types of disturbances: voltage dips and wind speed variations. Simulation results are carried out by Matlab/simulink software.