iosr-JEEE   Volume-3 ~ Issue-1

Abstract: This paper presents a mathematical model of a doubly fed induction generator (DFIG) in the positive synchronous reference frame under distorted grid voltage conditions eith the help of fuzzy logic controller. The oscillations of the DFIG's electromagnetic torque and the instantaneous stator active and r active powers are fully described when the grid voltage is harmonically distorted. Four alternative control targets are proposed to improve the system responses during grid harmonic distortions. A new rotor current control scheme implemented in the positive synchronous reference frame is developed. The control scheme consists Fuzzy logic controller and a resonant controller consequently, the fundamental and the fifth- and seventh-order components of rotor currents are directly regulated by the Fuzzy–R controller without sequential-component decompositions. The feasibility of the proposed control strategy is validated by simulation studies on a 2.0-MW wind-turbinedriven DFIG system. Compared with the conventional vector control scheme based on standard PI current controllers, the proposed control scheme leads to significant elimination of either DFIG power or torque oscillations under distorted grid voltage conditions.
Keywords -Current control, distorted voltage, doubly fed induction generator (DFIG), harmonics, and modeling.

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regulators,‖ IEEE Trans. Ind. Electron., vol. 56, no. 2, pp. 439–459, Feb. 2009.
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Abstract: The economical and environmental impacts of fossil fuels have forced governments and society to investigate sustainable solutions. The interest has focused principally on the green and clean benefits provided by renewable energy sources. The growth rate of new renewable energy supplies being installed has reached the incredible yearly mark of approximately 30% over the last few years. Consequently, investments in research and development in the field of power electronics have increased proportionally, especially in high voltage and high power grid connected systems. This paper presents ultra capacitor based sensorless current control of a threephase inverter-based distributed generation system. a robust control scheme for high power quality grid connection of inductor–capacitor–inductor (LCL)-filtered distributed generation (DG) inverters. This paper also presents a modified adaptive Kalman filter for sensorless current control of a three-phase inverter-based distributed generation system. The control variable states can be estimated one sample in advance with a reduced number of sensors. Two current control loops with the steepest descent adaptive control for grid voltage estimation have been employed to boost robustness. Stability and dynamic performance have been examined. Simulation and results validate the proposed control approach. Simulation is done using Matlab software.
Keywords: Distributed Generation (DG) Inverter, Inductor-capacitor-inductor (LCL) filter, Ultra capacitor (UC), Robust synchronization and control, Three- phase inverter Sensor less control, sensorless control

[1] Yasser Abdel-Rady I. Mohamed, M. A.-Rahman, and R. Seethapathy, ―Robust Line-Voltage Sensorless Control and
Synchronization of LCL-Filtered Distributed Generation inverters for High Power Quality Grid Connection‖ IEEE Trans. Power
Electronics, vol. 27, no. 1, Jan 2012
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Abstract:The huge demand for high voltage, high current power devices on Silicon on Chip (SoC) has led to the development of Lateral Insulated Gate Bipolar Transistor (Lateral IGBT/ LIGBT), touted as the best candidate to serve these two purposes. This paper is the first to review the research works on techniques used in LIGBTs published till now. The LIGBTs are categorized into four types based on different technologies applied, mainly junction isolation (JI), silicon on insulator (SOI), partial SOI (PSOI) and membrane, and ten varieties based on their device mechanisms, such as reverse conducting, trench gate and super junction.
Keywords :A SoC, LIGBT, JI, SOI, PSOI, Membrane

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Abstract: A Wind-Diesel Power Generation system with neural network is proposed in this paper. The system consists of Wind Power, Diesel Engine and an Intellectual controller. In the proposed topology, the Diesel Engine and the Wind Turbine are variable-speed machines, permitting Maximum fuel efficiency and Maximum energy extract from the wind. MATLAB2009b/Simulink was used to build the dynamic model and simulate the system. The pitch angle of wind turbine is controlled by the Modified Elman Neural Network(MENN).An Modified ENN is used to control Maximum Power Point Tracking(MPPT) and to reduce the THD in the Grid.ENN is a Partial Recurrent Neural Network which is used to achieve fast and stable response for the real power control and its issues
Keywords -Modified Elman Neural Network, Maximum Power Point Tracking, Diesel Engine, Total Harmonic Distortion, Converters.

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Abstract:This paper proposes new evolutionary multi agent based particle swarm optimization algorithms for solving optimal power flows with security constraints(line flows and bus voltages). These methods combines the multi agents in two dimensional and cubic lattice structures with particle swarm optimization (PSO) to form two new algorithms. In Cubic lattice structured multi agent based PSO(CLSMAPSO), an agent represents a particle in cubic lattice structure to PSO, and a candidate solution to the OPF problem. In Two dimensional lattice structured multi agent based PSO(TDLSMAPSO), an agent represents a particle in square lattice structure to PSO, and a candidate solution to the OPF problem. All agents live in a cubic and square lattice like environments, with agents fixed on a lattice point in the ascending order of their fitness value. In order to obtain the optimal solution, each agent in cubic and square lattice competes and cooperates with its neighbor and also a new operator called self learning operator was introduced in this paper. Making use of these agentagent interactions, CLSMAPSO and TDLSMAPSO realizes the purpose of minimizing the objective function value. In this paper, Variable constriction factor has been considered for TDLSMAPSO and CLSMAPSO. The OPF problem has been considered with quadratic cost function, piece wise linear quadratic cost function and quadratic cost function with sinusoidal terms were considered to realize Optimal Power Flow using CLSMAPSO and TDLSMAPSO applied to IEEE 30 bus system. Simulation results show that proposed approaches gives better solution than earlier reported approaches in very quick time.
Keywords -Multi agent systems, Particle swarm optimization, Optimal power flows.l inverter, different phase pulse width modulation, low harmonics, MATLAB/Simulink software, reduced switches and sources.

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Abstract:Energy is everywhere in the environment surrounding us i.e. it is available in the form of thermal energy, light (solar) energy, wind energy, and mechanical energy etc. However, the energy from these sources is often found in such minute quantities that it cannot supply adequate power for any viable purpose. In fact, it has not been possible to capture such energy sufficiently to perform any useful work. But now the scenario is changing due to new technologies on energy harvesting being developed and used. Energy harvesting is a process of capturing minute amounts of energy from one or more of these naturally-occurring energy sources, accumulating them and storing them for later use. Energy-harvesting devices efficiently and effectively capture, accumulate, store, condition and manage this energy and supply it in a form that can be used to perform a helpful task.

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