Modeling and intelligent control of a stand-alone PV-Wind-Diesel-Battery hybrid system

This paper presents a study of the modelling and intelligent control of a stand-alone hybrid energy system based on solar-wind-diesel with battery. In this study as the proposed system operate in a standalone mode the power quality is expected to decrease by the fluctuations from each of the voltage and frequency with varying loads and each of the two renewable sources which have depended on the wind speed, and solar radiation and temperature. This can be solved, by controlling the Pulse Width Modulation (PWM) of Voltage Source Converter (VSC) as modelled with Battery Energy Storage System (BESS). Consequently, it is of great interest the operation and intelligent control of the aforementioned systems for certain normal, and abnormal operating conditions. Furthermore, the other aim of this work is to design this control by soft computing techniques such as fuzzy logic and PI controllers have been adopted in Matlab/Simulink to simulate the outcomes, and choosing a suitable controller with proposed modelling hybrid system, as more as robustness; By compare the dynamic performances of PI and the fuzzy controllers through the study of the voltage and frequency control of the micro-grid under disturbances, moreover, to express and verify a much more capable, precise and robustness between these two types of controllers to quickly repair and stabilize the micro-grid during events such as the islanding.