使用SSA用于农村电气化的混合微电网的最佳尺寸和基于规则的管理
Abdel Djabar Bouchaala1, Ahcene Boukadoum1, Ahmed A Zaki Diab2
1Department of Electrical Engineering, Electrotechnical Laboratory Skikda (LES), University 20 August 1955, 26 Road El Hadaiek, 21000, Skikda, Algeria.
Scientific reports
|December 11, 2025
概括
这项研究利用Salp Swarm算法优化了一个离网的混合可再生能源系统,用于农村电气化. 该系统有效地整合了太阳能,风能和电池存储,最大限度地降低了能源成本,并确保了家庭的可靠电力.
科学领域:
- 可再生能源系统可再生能源系统
- 优化算法 优化算法
- 农村的电气化 农村的电气化
背景情况:
- 微电网是将可再生能源 (RES) 整合到混合可再生能源系统 (HRES) 中的关键.
- 离网HRES对于偏远和农村地区的可靠电力至关重要.
- 本研究侧重于阿尔及利亚斯基克达的一个特定的农村电气化挑战.
研究的目的:
- 确定离网HRES的最佳尺寸和能源管理.
- 为了满足100个住宅房屋的电力需求.
- 为了最大限度地降低能源成本 (COE) 和电力供应损失概率 (LPSP).
主要方法:
- 设计了一个混合可再生能源系统 (HRES),包括光伏 (PV) 面板,风力轮机 (WT),柴油发电机 (DG) 和电池存储系统 (BSS).
- 基于规则的能源管理策略应用于发电分配.
- 为了优化,使用了Salp Swarm算法 (SSA),每小时提供气象和负载数据.
主要成果:
- 最佳配置实现了0.24804美元/千瓦时的COE和0.2412%的LPSP.
- 总年度成本 (TAC) 为245,230美元,每年的模拟负载为230.57千瓦时.
- 与PSO,WOA,MFO和ARO相比,SSA表现出更快的融合和更高的优化.
结论:
- 该Salp Swarm算法是有效的优化离网混合微电网.
- 该研究为农村电气化提供了具有成本效益和可靠的解决方案.
- 研究结果为能源系统设计师和研究人员在开发可持续能源解决方案方面提供了宝贵的见解.
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