J. Baskaran

Simulated Annealing approach for congestion minimization using Distributed power Generation

The introduction of Distributed Generation (DG) devices for power system improves the stability, reduction in losses and increase in the cost of generation. In this paper Simulated Annealing (SA) is used to optimize the various parameters in IEEE 33 bus radial distribution system. Expenditure of losses and savings are also estimated. Load flow analysis is done in IEEE 33 bus radial distributed network using Forward-Backward sweep method. Using MATlab the performance of simulated annealing is illustrated. The feasibility of the proposed system is proved with Five Distributed Generations (DGs) which is the combination of Solar, Wind, Fuel cell, Geothermal, Biomass, reciprocating engines, and micro turbines. Using multiple DGs the improved results are discussed in this paper.

A modular multilevel inverter with cascaded half bridge cells

A new edition of cascaded multilevel inverter (MLI) based on secondary multilevel constituent (SMC) consisting of a series of stacked half bridge cells and an H-bridge inverter is proposed in this paper. The proposed MLI outputs higher voltage levels with the same number of switching devices. The projected MLI topology is optimized for minimal number of power switches and dc sources to synthesize the maximum level at the output voltage. In this paper, the comprehensive topology of the proposed MLI, its operating modes along with optimal structures and simulation results using fundamental switching are presented. The MLI is constructed for an output power of 1KW and is tested with a PWM method to validate the viability under wide range of operating conditions.

Comparison of controllers in SEPIC DC-DC Converter with high gain

Modified SEPIC DC-DC Converter with reduced ripple, High efficiency, Low switch voltage, Low input voltage presented in this paper. The magnetic coupling allows to increase the static gain with reduced switch voltage. Input voltage equal to 12V and efficiency equal to 93% was obtained with magnetic coupling with an output voltage equal to 210V and with feedback efficiency is 96% with an output voltage equal to 290V.

PFC Bridgeless buck-boost converter-fed BLDC motor drive

A Permanent brushless DC motor posses high torque/weight ratio, operate at high speed, very compact and are electronically controlled. The speed control of BLDC motor is achieved by controlling the DC link voltage of the voltage source inverter feeding BLDC motor using a single voltage sensor. An electronic commutation of BLDC motor is used for voltage source inverter to operate in a low-frequency operation for reduced switching losses in the voltage source inverter. A Bridgeless buck-boost converter is meant to work in discontinuous inductor current mode to supply a unity Power at AC mains. The motor speed control is implemented using fuzzy logic controller. All control suffers from the problem related to undesirable overshoot, longer setting times and vibrations while going one state to another. To overcome the maximum overshoot fuzzy logic control technique is used. The purpose is to achieve accurate trajectory control of the speed of PMBLDC motor. The fuzzy logic speed control of BLDC motor and bridgeless power factor correction configuration of the buck-boost converter for improved power quality was simulated using MATLAB/ Simulink and the objective is observed and validated.

Optimal location of Distributed Generation using micro-genetic algorithm

The introduction of Distributed Generation (DG) devices for power system increases the stability, reduction in losses and increase in the cost of generation. In this paper Micro Genetic Algorithm (MGA) a non conventional optimization technique is used to optimize the various parameters. The various parameters taken into consideration are their type, location and size of the DG devices. The simulation on a distribution system with steady state basis was performed by modelling DG with different types. The results are compared and justified with another search method like Micro Genetic Algorithm (MGA). The results reveal the benefits of this method, which makes it challenging for solving simultaneous optimization problems of DG device in a power system network.

Fuzzy-sa approach for optimization of Distributed Generation parameters in a power system network

The introduction of Distributed Generation (DG) devices for power system improves the stability, reduction in losses and increase in the cost of generation. In this paper Hybrid Simulated Annealing (SA) is used to optimize the various parameters. The various parameters taken into consideration are their type, location and size of the DG devices. The simulation was performed on a distribution system with various types of DGs and modeled for steady state studies. The optimization results are compared among Genetic Algorithm(GA), Fuzzy Simulated Annealing (FSA) and with Micro Genetic Algorithm(MGA) The results reveal the benefits of the proposed method, for solving simultaneous optimization problems of DG devices in a power system network.

Optimal location of UPFC for congestion relief in power systems using Simulated annealing algorithm

Optimal power flow based mostly generation approach for congestion management approach has been planned using power flow controllers UPFC. The most purpose is to seek out the optimum location of FACTS controllers during a fourteen bus facility using Simulated annealing (SA) algorithm. Congestion might happen in cable because of lack of co-ordination between generation and transmission utilities. Because of that generation outages, abrupt improve of load demand, or failure of equipments might happen, which is able to be corrected using Unified Power Flow Controller (UPFC). The result for the quality system was acquired by simulating the check system using MATLAB/SIMULINK. The results area unit provided for the system with UPFC and THD is found using FFT analysis in Mat lab file.

Performance analysis of Seven Level Inverter with Interleaved Boost Converter under phase disposition and Variable Frequency Inverted Sinusoidal PWM's

This paper analyse the performance of Seven Level Inverter which is configured by means of capacitor selection circuit and an H- bridge inverter. Multicarrier Sinusoidal Phase Disposition Pulse Width Modulation (MCSPDPWM) and Variable Frequency Inverted Sinusoidal PWM technique (VFISPWM) are employed for analysing the Total Harmonic Distortion (THD) of the Seven Level output. The capacitor selection circuit converts the output of the Soft Switching Interleaved Boost Converter and solar source into three level direct current (DC) voltage and an H- bridge inverter further converts three level dc voltage to seven level alternating current (AC) voltage. The performance parameters like output voltage and efficiency of two different Soft Switching Interleaved Boost Converters are compared and analysed with the conventional Interleaved Boost Converter.

A modified carrier PWM strategy for multilevel inverters

In this paper, a new pulse width modulation switching strategy based on carrier amalgamation that provides maximum utilization of dc-link voltage in the linear region. The modified carrier is derived from the amalgamation of inverted sine and triangular carrier at the peak of reference sine waveform. The objective of the proposed strategy is to achieve enhanced fundamental voltage over wide output voltage range while improving THD. The performance of proposed modulation strategy is tested in single phase 11 level inverter in terms of fundamental component and total harmonic distortion (THD) through MATLAB/Simulink.

Analysis of multistage flyback photovoltaic conversion system

An electrolytic capacitor used as a decoupling reservoir which restrict the lifetime of photovoltaic (PV) micro inverters.. The project focuses on selection of the minimum decoupling capacitor value for the proper operation of discontinuous conduction mode fly back PV micro inverter by considering the total harmonic distortion (THD) and PV power utilization ratio. A decoupling capacitor selection method for single-stage and two-stage fly back inverters is proposed. For two stage inverters, the control method of the dc-dc converter determines the stage where the decoupling function takes place. Thus, the PV side decoupling capacitor should be dimensioned according to the PV power utilization ratio, and the inverter side decoupling capacitor should be selected according to the desired THD limitation. The corresponding voltage ripple limits for THD and PV power utilization.