AN OPTIMIZED FUZZY LOGIC-BASED ENERGY MANAGEMENT STRATEGY FOR RENEWABLE ENERGY MICROGRID WITH HYDROGEN STORAGE SYSTEM

Abstract

Renewable energy sources such as wind and solar have been developed in
many countries all over the globe due to their ability to provide environmentally
friendly energy. However, due to the stochastic behavior of these power sources,
controlling energy systems with high renewable energy penetration remains a
challenge. To solve the mentioned problem, this study presents a fuzzy logic
control-based energy management system, which helps regulate the energy
flow within a grid-connected microgrid that integrates hydrogen energy storage.
The proposed technique is further optimized using the particle swarm
optimization algorithm to increase the system’s performance and reliability. The
results have proved that the energy management strategy has the following
merits: (1) energy balance is secured, (2) devices’ lifespan has been prolonged,
and (3) a better fuel economy has been achieved.