Electrical energy is a fundamental entity for society and economic growth of any country. Unfortunately, many of the rural areas of Ethiopia have not benefited from uses of electricity in the same proportion as the more populated urban areas of the country due to the remote location and the low population densities. Many researchers are focusing on renewable energy sources such as photovoltaic, steam, wind energies biomass and so on. Among them this work focusses on the Fuzzy Logic Controller based maximum power tracking for hybrid solar/wind power generation with multiple storage system for Debre Tsion Island. Using energy storage devices increases the overall system reliability and stability. In this work, batteries are used as the primary energy storage system for short to medium storage term, while hydrogen fuel cell is used as the long-term energy storage. There are generally two types of loads considered in this paper (domestic and community load) with total electric demand of 52kW. To satisfy this demand, 50% total generation is assumed to be contributed from solar while the remaining 50% is covered by wind energy system (i.e. 26 kW from solar and 26 kW from wind). The real wind speed and solar irradiation data of the area is used for the design, analysis and simulation of hybrid system. Fuzzy logic controller is used to harvest the maximum potential from solar and wind at the selected site. The components of the hybrid system are modeled and simulated in MATLAB/Simulink. The simulation results clearly explain about how the controller can track the maximum power from the both solar and wind energy system. The performance of the controller on PV system has been checked in two scenarios. The first scenario is with constant irradiation and temperature (1000 W/m2 and 25oC) while the second scenario is with variable irradiance at constant temperature (one-year real data at 25oC). From the simulation result, the performance of the controller on the first scenario is 98.75%. In scenario 2, the minimum performance of the controller is 93.48% at irradiation of 7.04kW/m2 and the maximum 99.1% at irradiation of 7.04kW/m2. Similarly, the required power from the wind is obtained with the rated speed of 10.4m/s.