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The recently developed, emerging Z-source inverter topologies are well suitable for Power Conditioning System (PCS).This paper presents the effective performance analysis of three different voltage type Impedance Source Inverter (ZSI) topologies such as classical ZSI, improved Z-source inverter and embedded Z-source inverter with four control techniques, namely Simple Boost Control (SBC), Maximum Constant Boost Control (MCBC), Maximum Constant Boost with Third Harmonic Injection and Modified SVPWM for Power Conditioning System. ZSI family is a single stage high efficiency power converter that eliminates almost all the limitations of traditional inverters such as Voltage Source Inverter (VSI) and Current Source Inverter (CSI). Performance analysis is carried out based on the obtainable impedance source capacitor voltage, inductor current ripples, DC link voltage ripples, peak output voltage, output phase current harmonics and effectiveness of the control methods for battery powered applications. [ABSTRACT FROM AUTHOR]

Abstract: In this paper a new, an Improved Particle Swarm Optimization (IPSO) is proposed for optimizing the power system performance. Recently, the Particle Swarm Optimization (PSO) technique has been applied to solve power engineering optimization problems giving better results than classical methods. Due to slow convergence and local minima, particle swarm optimization fails to give global results. To overcome these drawbacks, in this paper presents the application of improved particle swarm optimization for optimal sizing and allocation of a Static Compensator (STATCOM) and minimize the voltage deviations at all the buses in a power system. This algorithm finds an optimal settings for present infrastructure as well as optimal locations, sizes and control settings for Static Compensator (STATCOM) units. A 30 bus system is used as an example to illustrate the technique. Results show that the Improved Particle Swarm Optimization (IPSO) is able to find the best solution with statistical significance and a high degree of convergence. The simulation results are presented to show a significant improvement of the power system reliability and feasibility and potential of this new approach. [Copyright &y& Elsevier]

Abstract: The Matrix Converter (MC) is well known for its diverse advantages and applications but the output characteristics are adversely affected by the input voltage disturbances because there is no energy storage elements present in the dc link. Hence the matrix converter fed drive performance is affected. In this paper, Internal Model Control (IMC) based controller which is capable of achieving perfect set point tracking and disturbance rejection is proposed for compensating the voltage disturbances and load disturbances of matrix converter fed vector controlled Induction Motor (IM) drives. Modeling of matrix converter with input voltage disturbances and parameter estimation of IMC based speed and current controllers for vector controlled induction motor drive are described in this paper. The simulation results validate the input voltage disturbance rejection and improved dynamic performance of matrix converter fed induction motor drive obtained using IMC based controller. [Copyright &y& Elsevier]

Abstract: This paper investigates the effectiveness of an Artificial Neural Network (ANN) while training as an asymmetric half bridge DC–DC converter circuit used in sensitive applications. The ANN is trained to form a mapping between the inputs and outputs of converter circuit using back propagation algorithm. After training the Artificial Neural Network monitor the asymmetric half bridge converter in order to detect the performance deviations. The ultimate objective of the designed Neural network is to perform like the trained converter circuit when the circuit is changed from its original conditions. Such information can be valuable for many sensitive power electronic applications. Typical simulation results are provided that indicates the effectiveness of the proposed scheme. [Copyright &y& Elsevier]

Abstract: Asymmetric control scheme is an approach to achieve Zero Voltage Switching (ZVS) for half bridge isolated DC–DC converters. Due to the switching property included in their structure, DC–DC converters have a nonlinear behavior and their controller design is accompanied with complexities. But by employing the average method it is possible to approximate the system into a linear system and then linear control methods can be used. Dynamic performance of half bridge converters output voltage can be controlled by Pole placement and PID controllers. In this paper, Genetic Algorithm is used to optimize the system to achieve the optimum dynamic response. Matrix coefficients and dominant poles of closed loop transfer function is selected based on Genetic Algorithm. The results show an improvement in voltage control response in a short time. [Copyright &y& Elsevier]