Optimization of the stand‐alone micro‐grid is needed to minimize energy generation cost and environmental impacts. Protect the environment and saving cost can be obtained by choosing renewable energy sources as the power generation, such as photovoltaic (PV) and wind turbine. In this paper, authors investigate the hybridization utility and size optimization of a stand‐alone micro‐grid using the genetic algorithm. The considered micro‐grid consists on PV generator, wind turbines and storage batteries. This study is based on a bi‐objective optimization process. The life cycle cost (LCC) and the loss of power supply probability are respectively the economic criterion and the system reliability criterion under constraints. The energy modeling of the system's components enables energy flows simulation and further objective functions evaluation. The meteorological data of the location situated in Tunisia are considered. In order to study the resources randomness impact on systems optimal design, the data relating to December and August are used as references respectively to winter and summer. According to hybridization study, the hybrid PV/wind/battery system is the most appropriate system configuration for the studied location for both seasons compared to PV/battery or wind/battery. Results showed the significant influence of the battery bank design on the systems reliability and LCC.

中文翻译：

---

独立可再生能源微电网的杂交效用和尺寸优化

需要对独立的微电网进行优化，以最大程度地降低能源发电成本和环境影响。通过选择可再生能源作为发电资源，例如光伏（PV）和风力涡轮机，可以保护环境并节省成本。在本文中，作者研究了使用遗传算法的独立微电网的杂交效用和大小优化。所考虑的微电网包括光伏发电机，风力涡轮机和蓄电池。本研究基于双目标优化过程。生命周期成本（LCC）和供电概率损失分别是约束条件下的经济准则和系统可靠性准则。系统组件的能量建模可进行能量流仿真和进一步的目标功能评估。考虑了位于突尼斯的气象数据。为了研究资源随机性对系统优化设计的影响，分别以12月和8月的数据作为冬季和夏季的参考。根据杂交研究，与PV /电池或风/电池相比，混合光伏/风/电池系统是两个季节最适合研究位置的系统配置。结果表明，电池组设计对系统可靠性和LCC具有重大影响。相较于PV /电池或风/电池，混合光伏/风/电池系统是两个季节最适合所研究位置的系统配置。结果表明，电池组设计对系统可靠性和LCC具有重大影响。相较于PV /电池或风/电池，混合光伏/风/电池系统是两个季节最适合所研究位置的系统配置。结果表明，电池组设计对系统可靠性和LCC具有重大影响。