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
Energy management in sensor networks is a critical issue to prolong the network lifetime. However, the end-to-end latency increases due to energy saving algorithms. We propose a new protocol, LLSS (Low Latency Sleep Schedule) that provides a dynamic sleep schedule for the radios to increase the network lifetime as well as transmit the target's information to the sink with low end-to-end latency. In the surveillance state, the radios of interior nodes are put into sleep using a static schedule. If a target arrives, radio schedule of the nodes nearby the target is dynamically changed to wake up the neighbors and start sensing before the target reaches their location. The intermediate nodes in the target to sink path is activated in order to transmit the information to the sink with low latency. We show theoretically how the energy consumption of the interior and border nodes is balanced using our schedule. Our approach is to (1) increase the network lifetime (2) transmit the target location to the sink with low latency. Simulation results show that LLSS provides low latency when compared to S-MAC and increases the network lifetime by 25% more than S-MAC at low load.
In this paper, attempts have been made to analyze and understand the voltage stability problem in a radial distribution system. Till now only constant power load model has been used to analyze the voltage stability problem of distribution system. However, in a distribution system the power demand for almost all the loads, which are connected, such as television, refrigerators etc. are voltage dependent in nature. Hence, for analyzing the voltage stability problem in a radial distribution system, it is more proper to take into account the voltage dependent characteristics of the loads instead of the constant power characteristics of the loads.
This paper presents a speed control scheme using a new and simple structure of fuzzy logic controller (FLC) for a closed-loop, variable speed induction motor (IM) drive. The drive makes use of thyristor on the secondary side as phase-controlled ac switches operating at slip frequency. Such phase-controlled thyristor allows the torque of the machine to be varied from zero to values bounded by the normal torque/speed characteristic of the basic motor. The various functional blocks of the system which govern the system behavior for small variations about the operating pointing point are derived, and the transient responses are presented. The proposed FLC is developed to have less computational burden, which improves the dynamic behavior of the induction motor drive.
The aim of this paper is to study the performances of Single-phase Induction motor at varying Pulse Width Modulation signals (PWM) and adjustable switching capacitance. The control system is implemented in such a way that it allowed the change in motor speed and loading level.
The attractiveness of this configuration is the elimination of pulse generating unit, and the centrifugal switch. The pulses are generated based on the back e.m.f , and the duty period of the electronic switches is controlled in such a way with purpose to obtain optimized capacitor values that, in turn leads to maximum torque and efficiency. The electromagnetic processes are modeled and the simulation results are presented and analyzed in order to obtain optimized solution combining maximum torque with low capacitors values.
Matlab /simulink approach is implemented in processing the behaviors of Single Phase Induction Motor, where the most of the machine parameters are accessible for control verification purposes. Prototype model for result verification should be described in future work.
When integrated to the power system, large wind farms pose stability and control issues. A thorough study is needed to identify the potential problems and to develop measures to mitigate them. Although integration of high levels of wind power into an existing transmission system does not require a major redesign, it necessitates additional control and compensating equipments to enable recovery from severe system disturbances.
This paper insights into the use of a Static Synchronous Compensator (STATCOM) along with wind farms for the purpose of stabilizing the grid voltage after grid-side disturbances such as a three phase short circuit fault, temporary trip of a wind turbine and sudden load changes. The strategy focuses on a fundamental grid operational requirement to maintain proper voltages at the point of common coupling by regulating voltage. The DC voltage at individual wind turbine (WT) inverters is also stabilized to facilitate continuous operation of wind turbines during disturbances.
This paper describes the operation and control of a variable speed Well’s turbine driven permanent magnet synchronous generator connected to the grid. The generator is interfaced to the grid by means of fully controlled frequency converter which consist of a PWM rectifier, an intermediate dc circuit and a PWM inverter through a LCL filter. Power flow into the grid can be controlled regulating the grid current. Control is achieved in two stages namely by regulating the dc link voltage and then regulating the grid current entering the distribution network. This is realized by coordinated control of generator side converter and the grid side converter. Although current and voltage control schemes are possible, current control principle is used for its excellent dynamic characteristics. The performance of the control schemes are evaluated based on their steady state and dynamic response characteristics, harmonic distortion of the output currents and the quality of power injected to the grid. Response of the system under steady state and dynamic conditions are studied. Also the behavior with varying input conditions and with grid voltage distortions are analyzed. Various fault conditions are also investigated. In each case the grid current distortion and the dynamic performance of the converter control schemes are evaluated.
The commercial lighting market is developing to find new and improved light sources. The aim of this paper is to investigate LED technology to identify the limitations they have that have prevented their widespread use throughout the commercial lighting market. LEDs offer benefits, including energy saving, longer life times, and new lighting applications through organic LEDs (OLEDs).
Through interviewing technical experts it was ascertained that there are a number of limitations that prevent LEDs from being used in more lighting applications. These include luminous efficacy/output (the amount of light emitted for every watt of energy used) and cost. It is the belief across much of the lighting industry that when these issues have been resolved, and LED technology can supply more light per watt of energy than other established forms of lighting, they will be used on a much larger scale in areas such as general lighting.
Transmission line fault identification requires fast and accurate analysis. The tripping action depends mainly on the voltage and current waveforms during the fault. Wavelet analysis, which is a mathematical tool for signal analysis is used to detect the type of fault occurring on the transmission line. A single area network with 500kv and 200 kms transmission line is simulated by using matlab and the simulated results are used to determine fault distance at different locations. To identify the fault, Gabor Wavelet is used. The discrete Gabor algorithm is implemented by using ‘C’ program.
Winding insulation is an important constituent of a transformer. Any weakness of insulation may result in winding deformation and hence, in the failure of the transformer. Insulation failure arises due to over voltages, notches, glitches, etc. Comparison of recorded neutral currents is a standard technique used for the detection of fault in the power transformer winding insulation during impulse test. Any shift in the recorded waveforms between reduced and full voltage confirms the existence of fault. In the present work, the recorded neutral current waveforms obtained from a 61MVA, 11.5/230 kV generator transformer have been considered for analysis. Faults have been created in the discs of the High Voltage windings at specific locations. An impulse voltage of 100V is applied to the high voltage winding and the neutral currents for the healthy case and the faulted discs windings have been recorded using digital oscilloscope. These recorded neutral current waveforms are analyzed using wavelets for fault identification. The component of the noise which is inherent in the signal during recording was isolated using Daubechies7 wavelet and these denoised signals were analyzed further using Daubechies7 wavelet to identify the fault in the winding.