一个基于模糊逻辑的能源管理模型,用于单独的太阳能光伏-风能与电池存储系统
Nayebare Alfred1, Venkataramana Guntreddi2, Aliyu Nuhu Shuaibu1
1Department of Electrical Engineering, Kampala International University, 20000, Ishaka, Uganda.
Scientific reports
|July 9, 2025
概括
一个模糊逻辑能源管理系统优化了非电网诊所的混合可再生能源,确保可靠的电力和降低成本. 这种可持续的解决方案提高了农村地区的医疗保健服务.
科学领域:
- 可再生能源系统可再生能源系统
- 控制系统工程 控制系统工程
- 可持续发展 可持续发展 可持续发展
背景情况:
- 乌干达卡兰加拉等农村地区的离网医疗保健设施由于依赖柴油发电机而遭受不可靠的电力,导致高成本和停电.
- 持续的电力对于提供优质医疗保健至关重要,使得可持续的能源解决方案对于这些偏远的医疗中心至关重要.
研究的目的:
- 开发和评估基于模糊逻辑的能源管理系统 (FLC-EMS),以优化离网卫生设施的混合可再生能源系统 (HRES).
- 与传统柴油发电机系统相比,提高能源可靠性,降低运营成本,并最大限度地减少碳排放.
主要方法:
- 模拟一个混合可再生能源系统 (HRES),包括太阳能光伏 (PV),风力轮机 (WT) 和使用MATLAB/Simulink的电池存储.
- 实现一个模糊逻辑控制器 (FLC-EMS) 拥有27个规则和三角成员功能,以根据负载,可再生能源的可用性和电池充电状态 (SOC) 来管理电力流.
- 模拟系统的性能,以评估供电连续性,经济可行性 (LCOE,NPC) 和环境影响.
主要成果:
- 通过动态平衡PV,WT和电池输入,FLC-EMS成功地确保了在高峰需求期间的连续电源供应.
- 优化的PV-WT-BAT配置在20年内实现了0.281美元的电力水平化成本 (LCOE) 和269,246美元的净当前成本 (NPC).
- 与柴油系统相比,运营成本降低了11.87-18.7%,碳排放量大幅降低.
结论:
- 拟议的FLC-EMS提供了一种可靠且具有成本效益的解决方案,用于供电离网医疗保健设施,增强可持续的农村电气化.
- 该系统适应可变负载和间歇性可再生能源的适应性使其成为改善偏远地区能源获取的可扩展技术.
- 未来的工作包括现实世界的实施和整合机器学习,以加强预测控制.
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