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The Fast Fourier Transform (FFT) method is successfully used for the broken rotor bar fault detection purpose in the induction machines. It is based on the common-steady state analysis of the motor. This method is successfully used with Motor Current Signature Analysis (MCSA) technique for last three decades. However, this method is suffered from some serious drawbacks such as; it is applicable only...
Adjustable speed drive (ASD) is becoming a significant load component for power distribution. It involves the use of an Induction motor (IM). This paper involves modeling and control of an Induction motor and investigates its effects on the total current harmonic distortion of the adjustable speed ac drives. The simulation was carried out with the aid of the Simulink toolbox available in Matlab.
Brushless DC (BLDC) motors are used extensively in the industry for a wide variety of applications. In the Aerospace industry, they are mainly used in the control actuation system in launch vehicles. Different types of faults can develop in a BLDC motor. It is essential to detect these faults in the early stage itself before they develop into system failures. In this paper, fault detection in BLDC...
In this paper, a generalized procedure for designing a Permanent Magnet Brushless DC motor (PMBLDCM) based on design equations is presented. The formulated algorithm can provide a design solution either dependent variables or independent variables are available. A step by step procedure of the design validation and analysis using the MagNet 7.1.1 software is illustrated. The main attention is dedicated...
Multicore processor is one way to address peak performance demands with a design. Multicore devices deliver highly scalable performance and low power, and so they can offer high levels of design flexibility. Here some of the optimization techniques to improve the speed of the Multicore processor based motor controller using FPGA and CORTEX-M1 processor is used. Some of the techniques were proposed...
Efficiency is the sense of energy saving is a main issue in photovoltaic pumping. The objective of this work is to design and simulate an efficient battery less pumping system powered from photovoltaic panels, comprising a new push-pull converter with Induction Motor. In a photovoltaic pump-storage system, solar energy is stored, when sunlight is available as potential energy in water reservoir and...
Three Phase Induction Motors are widely used for industrial and domestic applications. There are various faults that occur in induction motors like stator inter-turn fault, bearing's faults and eccentricity fault. Out of these faults, the rotor broken bar fault is very specific in squirrel cage induction machines. This paper deals with the detection of broken bars in three phase squirrel cage induction...
Induction Motor for many years has been regarded as workhouse in industrial applications. When the application requires large power and torque specifications, the usage of induction motor comes into demand. This results in application of an efficient machine which is stable during various fault conditions. This paper presents the investigations on the fault analysis of a fault tolerant inverter fed...
Multilevel inverters provide cost-effective solution in the medium voltage energy market. These converters synthesize the output voltage waveform from several steps of dc input source which approaches to sinusoidal waveform and minimizes the harmonic distortions. This paper discusses the features of 5-level diode-clamped inverter. The application of diode clamped multilevel inverter in Field-Oriented-Control...
This paper presents a boost converter configuration, control scheme and design of single phase power factor controller for permanent magnet brushless DC motor (PMBLDCM) drive. PMBLDC motors are the latest choice of researchers, due to the high efficiency, silent operation, compact size, high reliability, and low maintenance requirements. The proposed Power Factor Controller topology improves power...
Recently, self tuning fuzzy control techniques are applied to improve the performances of any system. This paper explains the design and application of a self tuning fuzzy control technique to a drilling force control process. The main objective is to design, analyse and compare the performance of self tuning fuzzy PI controller under two different conditions namely when the input scaling factor is...
This paper presents a new and novel approach for solving the dynamic load dispatch (DLD) problem of generating units. Operational constraints, such as valve point loading and ramp rate limits are taken into account in the formulation of DLD problem. The conventional fuel cost curve of the generating units is modeled as a highly non linear curve by inclusion of valve point effect as a rectified sinusoidal...
Accurate load forecasting plays a key role in economical use of energy and real time security analysis of system. In this paper a practical case of small load area of a town getting supplied by nineteen distribution feeders is considered. Four months exhibiting different daily load-curve variation pattern are selected. Graphical analysis of the daily load curves for a week in each month is performed...
This paper presents a contingency analysis study of Embedded Generation (EG) deployment in distribution network. It is expected of increasing amounts of EG that will be connected to power system distribution in the near future. Due to advances of technology and deregulation in the power market, EG is expected to become more cost effective energy sources that open the opportunity of exploiting renewable...
Very often in distribution systems many small loads of the order of 100KVA or less are fed from same feeder. A fault at one load drastically affects the loads even at far end. Here the effect of L-G and L-L faults followed by an Open conductor fault (fuse blow off in one phase) at the remote load point is presented for different feeder X/R ratios. The restoration of supply voltages using a DVR (with...
This Paper propose a new hybrid algorithm for solving the Unit Commitment problem in Hydrothermal Power System using a hybrid Evolutionary Programming - Tabu Search method with cooling-banking constraints. The main objective of this project is to find the generation scheduling by committing the generating units such that the total operating cost can be minimized by satisfying both the forecasted load...
During the last few years, emission control has become a problem of global concern due to the constantly increasing pollution of earth's atmosphere. The traditional generation scheduling problem aims at minimizing the cost of operation subject to fulfillment of demand. Under new structure, generation companies (GENCOs) schedule their generators with an objective to maximize their own profit as well...
This paper presents a solution to Unit commitment (UC) of thermal units based on a new evolutionary algorithm known as Shuffled Frog Leaping Algorithm(SFLA). The integer coded algorithm is based on the behavior of group of frogs searching for a location that has the maximum amount of available food. This algorithm involves local search and shuffling process and these are repeated until a required...
This paper presents an intuitive solution to the auction based dispatch problem in the deregulated power system based on swarm intelligence optimization. The formulated expressions effectively substitute the seller's bidden cost function in the production cost including market strategy. The auction methodology for maximum thermal capacity of every line of the system is completed using the calculated...
This paper proposes an optimal congestion management approach in a deregulated electricity market using Particle swarm optimization (PSO) under Combined Economic and Emission dispatch (CEED) environment. CEED problem has been formulated as a multi-objective problem by considering both economy and emission simultaneously. This bi-objective CEED problem is converted into single objective function using...
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