A novel optimized sizing and management strategy of a grid-connected hybrid photovoltaic (PV)-solar-battery-group system were proposed for the electrification of residential consumers in Northwest Africa (a case of Mauritania), and the influence of the state of the sky (clear, moderately overcast, and overcast) was analyzed according to the load flowing (LF) and the cycle charging (CC) strategies. In order to mitigate the pressure on the national grid, consolidate the consumer autonomy, minimize the cost of medium- and long-term consumption bills, and CO₂-related emissions, a cartographic approach was conducted as the first attempt to map the electricity consumption potential for buildings in the city of Nouakchott (Mauritania) using a geo-referenced database. ArcGIS®, HOMER Pro®, and MATLAB® softwares were used for the establishment of the load profile, optimized sizing of the PV-batteries-group-grid system, and calculation of the lightness index, respectively. The LF strategy provided the best monitoring of the load throughout the day by minimizing the generator uptime. The techno-economic analysis revealed the values of cost of energy (COE) and net present cost (NPC) as follows: COE = $0.0549/kWh and NPC = $24,796 for the LF PV-batteries-grid strategy, COE = 0.0646 $/kWh and NPC = $23,380 for the CC PV-batteries-grid strategy, and COE = $0.17/kWh and NPC = $23,262 for the case of the grid on its own.

针对西北非（毛里塔尼亚的一个案例）住宅消费者的电气化，提出了一种并网混合光伏 (PV)-太阳能-电池组系统的新型优化规模和管理策略，以及根据负载流动 (LF) 和循环充电 (CC) 策略分析天空（晴朗、中度阴天和阴天）。为缓解国家电网压力，巩固消费者自主权，最大限度降低中长期用电成本和CO ₂相关的排放，作为首次尝试使用地理参考数据库绘制努瓦克肖特市（毛里塔尼亚）建筑物的电力消耗潜力，进行了制图方法。ArcGIS®、HOMER Pro® 和 MATLAB® 软件分别用于建立负载曲线、优化光伏电池组电网系统的大小以及计算亮度指数。LF 策略通过最大限度地减少发电机正常运行时间，提供全天最佳负载监控。技术经济分析揭示了能源成本 (COE) 和净现成成本 (NPC) 的值如下：COE = $0.0549/kWh 和 NPC = $24,796 对于 LF PV-batteries-grid 策略，COE = 0.0646 $/kWh CC PV-batteries-grid 策略的 NPC = $23,380，COE = $0.17/kWh，NPC = $23，