An Efficient Fuzzy Logic Based MPPT Control Strategy for Multi-Source Hybrid Power System

Abstract

This paper presents the simulation and the implementation of an efficient fuzzy logic (FL) based MPPT control strategy for multi-source renewable energy system. Wind energy conversion system (WECS), a solar photovoltaic system (SPV) and a biodiesel generator (BDG) as well as a storage battery are integrated in the same hybrid power system (HPS). In the proposed strategy, Fuzzy logic Maximum Power Point Tracking (FL MPPT) control systems are studied, analyzed and applied to the SPV and to the WECS to efficiently extract maximum power. The FL technique effectiveness is demonstrated through structured comparisons to Perturb and Observe (P&O) algorithm over the output power analysis and to the Tip Speed Ratio (TSR) technique respectively in the case of the SPV and the WECS. To evaluate the reliability of the proposed system to continuously providing sufficient power to the load, the integration of the three energy sources is implemented and analyzed using two typical scenarios. A hysteresis controller is used to trigger and stop the backup BDG and also to maintain the storage battery state of charge (SOC) variation between the desired values. The simulation results show that the FL MPPT controllers is able to track the maximum power point of SPV and WT more efficiently in comparison to traditional techniques such as P&O and TSR controllers. Moreover, the results suggest that the integration of the three energy sources helps significantly to increase power reliability despite the wind speed and solar irradiance variation.