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Energy Management for Standalone DC Microgrid Using Artificial Bee Colony

This paper presents an optimized energy management system for small-scale standalone DC microgrid that consists of solar photovoltaic, wind, and fuel cell coupled with a battery energy storage system. The energy management system has been designed based on low complexity fuzzy logic controller of only 25-rules to manage the power flow that supplies a house load during 24 hours and to maintain state of charge of the battery energy storage system. The fuzzy logic controller is optimized using one of the efficient optimization techniques, artificial bee colony to enhance the system efficiency. As a case study, real data for solar irradiation, ambient temperature, wind speed and house load profile were collected in a hot summer day from Dhahran city in Saudi Arabia and applied to the proposed system. Energy analysis of the microgrid operation during day hours and comparison of the system before and after optimization are presented.