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Integrating different energy resources, like solar PV, wind, and hydro is used to ensure reliable power to the rural community loads. Hybrid power system offers sufficient power supply for the rural villages by providing alternative supply for intermittent nature of renewable energy resource. Hence, intermittency of renewable energy resources is a challenge to electrify the rural community in a sustainable manner with the above sources. Thus, efficient resources management is a reasonable choice for intermittent renewable energy resources. The majority of rural villages in Ethiopia are suffering from lack of electricity. This causes deforestation, travel for long distance to fetch water, and no good social services, like clinic and schools, sufficiently. Therefore, the objective of this study was to maximize reliability of power supply by renewable energy sources. Data on wind speed and solar radiation are obtained from the NASA surface meteorological agency. While hydro data are obtained from physical measurements. Different configuration options are considered by Homer software to find the optimal configuration of hybrid system. The optimal configuration system is selected and hybrid components are sized. The optimal hybrid system consists of solar PV, wind, and hydro to supply a community load with a share of 13%, 52%, and 35% respectively. The fuzzy logic controller is designed to manage the intermittent nature of energies. Hence, the demand and energy sources are unpredictable; intelligent control system is important to manage the system accordingly. The control system is designed in MATALAB software. The result obtained from resource combination shows demand and supply are balanced. From the Twelve probabilistic combinations of demand and energy sources, one of the combinations shows that when 7.5 kW is demanded, the power generated/output from hybrid system is 10 kW which is greater than demand. To satisfy 7.5 kW demand control system takes 4.25 kW, 2.75 kW, and 1.08 kW share from wind, hydro, and solar sources respectively. The fuzzy logic control system is designed, to monitor the resource availability and load demand. This controller was managing the demand and the available resources according to the rule. [ABSTRACT FROM AUTHOR]

Fuzzy logic controller system is one of the intelligent methods of energy management system that aims at conserving energy. The effectiveness of fuzzy logic controller is depending on set of restrictions, linguistic variables, values, and number of probabilistic combinations of resources to formulate the rules. These should be considered to obtain optimal results in terms of energy conservation. Therefore, the objective of this study was to maximize power supply from solar and battery for energy saving. The evaluated performances in this study were the demand and supply. Optimization was conducted with the rule-based fuzzy logic control system in MAT LAB software. A total of thirty-three (33) number of combinations/rules were performed. Using rule viewer tool in Mat lab as performance analysis, it was observed that the demand was the main set of restriction for all three resources to supply (35.3 contribution of grid,17.5 contribution of battery, and 17.5 contribution of solar, respectively), while the grid had the highest contribution to supply 35.3 kW of demand. Rule based fuzzy shown that the results obtained are in total conformance to that of the traditional energy management method, with intelligently switch the load to the available resources at a time. Thus, 80% of the national grid energy was saved during day time and 35% during night time. The majority of the loads were shared by solar in day time and battery and grid in night time. [ABSTRACT FROM AUTHOR]