Maximum Power Point Tracking of Hybrid System Using Incremental Conductance Method

Abstract

Renewable energy sources have become a popular alternative energy source where conventional power generation techniques are inconvenient. Over the past few years, the generation of photovoltaic and wind power has increased significantly. In this study, we proposed a hybrid energy system incorporating solar panels and wind turbine generators as an alternative to conventional electrical systems. A straightforward, cost-effective control technique was suggested to monitor the point where maximum energy can be coerced under constantly changing environmental conditions from the PV and wind turbine generator system. In combination with comprehensive simulation results, the entire hybrid system is described to uncover the feasibility of the scheme.

This dissertation concerned to presents a control and simulation of hybrid renewable energy system connected to the grid. The studied system includes a photovoltaic panel, doubly fed induction generator based wind turbine, and a battery for storage energy. The PV array and wind systems are connected to the common DC bus by a boost converter. The battery is connected by a bi-directional DC/DC converter, and then integrated into the AC utility grid via a common DC/AC inverter. To extract the maximum energy, a simulation study has been carried out according to the meteorological conditions (wind speed and variable solar irradiance) while maintaining power quality at a satisfactory level. To capture the maximum power, a MPPT algorithm is applied for both wind turbine and photovoltaic panel.