一个灵活的多代理系统,用于管理农村社区的混合能源系统的需求和变化
Ehab S Ali1, M H Elkholy2,3, Tomonobu Senjyu4
1Department of Electrical and Electronics Engineering, College of Engineering and Computer Science, Jazan University, 45142, Jizan, Saudi Arabia. esalama@jazanu.edu.sa.
Scientific reports
|May 9, 2025
概括
本研究介绍了一个智能多代理系统 (MAS),用于在偏远地区提供可靠的能源. 适应性MAS框架优化了混合能源系统,确保稳定的电力供应并最大限度地利用可再生能源.
科学领域:
- 能源系统工程 能源系统工程
- 人工智能的人工智能
- 可持续能源 可持续能源
背景情况:
- 由于基础设施的限制和可再生能源 (RES) 的变化,偏远社区面临着稳定能源供应的挑战.
- 智能,适应性能源管理对于确保可靠性和最大限度地利用可再生能源至关重要.
研究的目的:
- 为偏远社区的混合能源系统开发和评估适应性多代理系统 (MAS) 框架.
- 通过整合各种储能和发电技术,提高能源可靠性,成本效益和可持续性.
主要方法:
- 为混合能源系统设计了一个适应性和可扩展的多代理系统 (MAS) 框架.
- 该系统集成了电池储能系统 (BESS),电动汽车电池 (EVB) 与车辆到电网 (V2G) 功能,能储能系统 (HESS) 以及风力轮机 (WTs) 和光伏 (PV) 等可再生能源.
- 人工大猩猩部队优化器被用于实时能源调度优化.
主要成果:
- 拟议的MAS框架在四个场景中进行了评估,其中最全面的系统 (PV-WTs-BESSs-EVBs-HESSs) 实现了最低的运营成本.
- 第4场景显示,与第1场景相比,25千瓦峰值负载微电网的成本降低了0.91%,运营成本为10,688.06美元.
- 模拟结果证实了成本效益,能源稳定性和可持续性的改善.
结论:
- 适应性MAS框架有效地应对偏远和受限制环境中的能源供应挑战.
- 多种存储解决方案和V2G功能的整合提高了电网稳定性,并优化了资源利用.
- 该研究强调了智能能源管理系统在实现可靠,经济和可持续能源获取方面的潜力.
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