Gad Radwa S A, Zaher Hegazy, Al-Wahsh H, Eid M H, AlMetwaly Wael M, Abdelqawee Islam M
Basic Science Department, Faculty of Engineering at Shoubra, Benha University, Banha, Egypt.
Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt.
Sci Rep. 2025 Aug 19;15(1):30314. doi: 10.1038/s41598-025-95302-5.
Availability of a dependable electricity source is essential for improving living standards. When designing a micro-grid system, two key factors must be considered: cost-effectiveness and service quality. A major challenge in hybrid system design is balancing cost and reliability. To address this, a Renewable Energy System (RES) is optimized using a hybrid PV/Wind system with a diesel generator and battery storage. A novel hybrid harbor seal jellyfish searching (HHSJS) method is introduced for system configuration and component sizing. HHSJS seeks to address the problem with the investigation of the current harbor seal whiskers optimization algorithm (HSWOA). A temporal control technique is used to switch between JS and HSWOA operators throughout the search operation. The effectiveness of HHSJS is tested using 50 benchmark functions. Recent hourly wind speed data from two meteorological stations in Egypt: the Northwest Coast area and the New Valley Governorate. Despite the complexity of RES design, the optimal component sizing has been effectively determined for each location using HHSJS. This suggests that RES can be a viable solution for electrification projects, improving energy access in remote Egyptian regions and other developing areas with similar climates.
可靠电力来源的可用性对于提高生活水平至关重要。在设计微电网系统时,必须考虑两个关键因素:成本效益和服务质量。混合系统设计中的一个主要挑战是平衡成本和可靠性。为了解决这个问题,使用带有柴油发电机和电池储能的混合光伏/风力系统对可再生能源系统(RES)进行了优化。引入了一种新颖的混合海豹水母搜索(HHSJS)方法用于系统配置和组件选型。HHSJS旨在通过研究当前的海豹须优化算法(HSWOA)来解决该问题。在整个搜索操作过程中,使用一种时间控制技术在JS和HSWOA算子之间进行切换。使用50个基准函数测试了HHSJS的有效性。来自埃及两个气象站的最新每小时风速数据:西北海岸地区和新河谷省。尽管RES设计复杂,但使用HHSJS已有效地为每个地点确定了最佳组件选型。这表明RES可以成为电气化项目的可行解决方案,改善埃及偏远地区和其他气候相似的发展中地区的能源供应。