Research Article Open Access

Implementation of MPPT Tracking Dc-Dc Converter Using PSO With Fuzzy for the Control of Inverter Fed Induction Motor

Abstract

In this paper proposes for the photovoltaic (PV) system using a modified particle swarm optimization (PSO) algorithm an improved maximum power point tracking (MPPT) method. The main advantage of the method is the reduction of the steady- state oscillation (to practically zero) once the maximum power point (MPP) is located. Furthermore, the proposed method has the ability to track the MPP for the extreme environmental condition, e.g., large fluctuations of insolation and partial shading condition. The algorithm is simple and can be computed very rapidly; thus, its implementation using a low-cost microcontroller is possible. Finally, a multiphase dc–dc converter is used for high-voltage and high power applications. A generalized converter is configured such that the boost-half-bridge (BHB) cells and voltage doublers are connected in parallel or in series to increase the output voltage and/or the output power. Here a three phase inverter is also added in the output of conventional system for obtaining AC voltage for AC load. The device voltage rating and current rating are reduced by increasing the number of switches in series and number of diodes in parallel connection, respectively.

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