[Advances in Intelligent Systems and Computing] Applications of Artificial Intelligence Techniques in Engineering Volume 698 (SIGMA 2018, Volume 1) || Predictive Control of Energy Management System for Fuel Cell Assisted Photo Voltaic Hybrid Power System

摘要： Distributed generation systems also known as hybrid power systems which involve renewable energy sources are extensively used due to their ef?ciency and green interface. Considering the varying environmental conditions, these systems are prone to many disadvantages and limitations. In order to overcome these constraints, intelligent techniques which can achieve steady process and power balance are to be implemented. This paper provides an intelligent control using fuzzy inference system and energy management algorithm for Fuel cell assisted PV Battery system. The supervisory control was implemented to achieve utmost feasible ef?- ciency despite varying conditions such as irradiance and Hydrogen levels. With Lev- elized cost being adapted, an ef?cient energy management system attributes for even power distribution throughout the day can be implemented. Our thought process was demonstrated, and ?nal software interface was simulated using MATLAB/Simulink to obtain results which con?rm the effectiveness of the developed system.