Soft computing techniques based maximum power point tracking and harmonic reduction for grid connected pv system and pv wind hybrid system

Abstract

Renewable energy sources are utilized to meet the energy demand and also an alternative solution for reducing environmental pollution and greenhouse effects. Renewable energy sources include solar, wind, tide, biomass, and geothermal sources, which are not naturally stable in time, location, season, and weather, and the cost of installing these systems is very high. The efficiency of these renewable energy systems is also lower than that of fossil fuels, and controlling of these resources is very difficult when connected to the grid. Therefore, in order to increase the efficiency of these renewable sources, MPPT techniques are developed and also in order to control, power electronics converters are used for interfacing these renewable energy sources to the grid. Power electronic devices that are utilised to connect various types of HRESs to the grid may experience power quality issues such as voltage sags, swells, disruptions and harmonics. Therefore, in this research we focus on improving the efficiency (maximum power) of renewable energy systems, as well as THD reduction when these systems are connected to the grid. The main objectives of the proposed research are to extract the maximum power from the PV system with minimum convergence time and to minimize the THD in the grid current. In order to avoid demerits of conventional MPPT techniques, and also to extract maximum power from PV systems there is a lot of intelligence based (Fuzzy, ANN,..etc) and also soft computing based MPPT techniques (ALO, BAT and CS) are implemented. These soft computing techniques are still unable to provide maximum power from PV systems with less convergence time. Therefore, it is necessary to develop a need of developing a hybrid combination of the aforementioned soft computing techniques to iv achieve maximum power from PV systems with less convergence time. With this scope, a hybrid combination of BAT-PO and ALO-CS soft computing-based MPPT techniques was considered in this research for 1kW grid connected solar PV system is simu