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.

中文翻译：

---

使用MATLAB和Homer设计最佳混合动力系统以向埃塞俄比亚农村地区提供可靠的电力供应

整合不同的能源，例如太阳能光伏，风能和水能，可确保为农村社区负载提供可靠的电力。混合动力系统通过为可再生能源的间歇性提供替代电源，从而为乡村提供了充足的电源。因此，利用上述资源以可持续的方式使农村社区电气化是可再生能源间歇性的挑战。因此，有效的资源管理是间歇性可再生能源的合理选择。埃塞俄比亚的大多数乡村都缺乏电力。这会导致森林砍伐，长途跋涉取水，并且没有足够的良好社会服务，例如诊所和学校。因此，这项研究的目的是使可再生能源的供电可靠性最大化。有关风速和太阳辐射的数据可从NASA地面气象局获得。水电数据是通过物理测量获得的。Homer软件考虑了不同的配置选项，以找到混合系统的最佳配置。选择最佳配置系统并确定混合组件的大小。最佳的混合动力系统由太阳能光伏，风能和水力发电组成，分别为社区提供13％，52％和35％的负荷。模糊逻辑控制器旨在管理能量的间歇性。因此，需求和能源是不可预测的。智能控制系统对于相应地管理系统很重要。控制系统是在MATALAB软件中设计的。通过资源组合获得的结果表明需求和供给是平衡的。从需求和能源的十二种概率组合中，组合之一表明，当需要7.5 kW时，混合动力系统产生/输出的功率为10 kW，大于需求。为了满足7.5 kW的需求，控制系统分别从风能，水力和太阳能资源中获取4.25 kW，2.75 kW和1.08 kW的份额。设计了模糊逻辑控制系统，以监视资源可用性和负载需求。该控制器正在根据规则管理需求和可用资源。混合动力系统产生/输出的功率为10 kW，大于需求。为了满足7.5 kW的需求，控制系统分别从风能，水力和太阳能资源中获取4.25 kW，2.75 kW和1.08 kW的份额。设计了模糊逻辑控制系统，以监视资源可用性和负载需求。该控制器正在根据规则管理需求和可用资源。混合动力系统产生/输出的功率为10 kW，大于需求。为了满足7.5 kW的需求，控制系统分别从风能，水力和太阳能资源中获取4.25 kW，2.75 kW和1.08 kW的份额。设计了模糊逻辑控制系统，以监视资源可用性和负载需求。该控制器正在根据规则管理需求和可用资源。