ANFIS based energy management strategy for PV/Wind/Battery hybrid energy system

Abstract

This paper presents a strategy for the energy management for a hybrid PV/Wind/Battery (PWB) energy system using the adaptive network-based fuzzy inference system (ANFIS). The energy management system is aimed at reducing the fluctuations of power injected into the grid, which is one of the major problems in the renewable energy systems. Another objective is to maintain the battery state of charge (SOC) within the acceptable limits so that the lifetime of the batteries can be increased. The ANFIS has been used to manage the power among the grid, source and the batteries. The results demonstrate that the ANFIS is rendering good performance and the fluctuations are reduced considerably.