In this paper, a simple and efficient hybrid Simulated Annealing Particle Swarm (SAPS) algorithm is proposed to determine the optimal size of a Microgrid (MG) that guarantees economically and reliable operation of the off-line mode and/or on-line mode of the MG. The proposed SAPS optimizer considers the intermittent nature of renewable energy sources (RESs) while boosting the power supply security/stability. Batteries are resized to enhance the power supply reliability and acting as virtual synchronous inertia. During disturbances/fault circumstances, the primary frequency control is provided by batteries and diesel generators. The constraints are set to achieve higher levels of power supply security and frequency stability. Qena AL-Gadida (QA) city is the MG under concern. The SAPS results are validated versus Simulated Annealing (SA) and Particle Swarm Optimization (PSO). The results revealed the reliability and applicability of the proposed sizing procedure. Moreover, adopting the primary frequency regulation of batteries resulted in a slight increase in the overall costs.

在本文中，提出了一种简单有效的混合模拟退火粒子群 (SAPS) 算法来确定微电网 (MG) 的最佳尺寸，以保证离线模式和/或在线模式的经济可靠运行。 MG。提议的 SAPS 优化器考虑了可再生能源 (RES) 的间歇性，同时提高了电源的安全性/稳定性。调整电池大小以提高电源可靠性并充当虚拟同步惯性。在干扰/故障情况下，主要频率控制由电池和柴油发电机提供。设置约束以实现更高级别的电源安全性和频率稳定性。Qena AL-Gadida (QA) 市是受关注的 MG。SAPS 结果与模拟退火 (SA) 和粒子群优化 (PSO) 相比得到验证。结果表明了所提出的分级程序的可靠性和适用性。此外，采用电池一次调频导致整体成本略有增加。