Control Algorithms of Hybrid Energy Storage System Based on Fuzzy Logic

Abstract

This paper presents methods of controlling a hybrid energy storage system (HESS) operating in a microgrid with renewable energy sources and uncontrollable loads. The HESS contains at least two types of electrochemical batteries having different properties. Control algorithms are based on fuzzy logic and perform real-time control having the goal of active power balancing. Fuzzy rules are adapted to exploit individual advantages of each battery technology while maximising overall HESS lifetime. Presented simulation results illustrate the performance of algorithms, including economical balance and storage systems degradation rate.