考虑天气条件和负载的不确定性,为电网连接的微电网制定多层次的最佳能源管理策略
H E Keshta1, E G Hassaballah2,3, A A Ali4
1Faculty of Engineering at Shoubra, Benha University, Banha, Egypt.
Scientific reports
|May 2, 2024
概括
本研究介绍了一个双层能源管理系统 (EMS),用于网联微电网. 该新系统通过使用冠状病毒群体免疫优化器 (CHIO) 来优化运营成本,用于电池调度和不确定性下的实时调整.
科学领域:
- 电气工程 电气工程
- 可再生能源系统可再生能源系统
- 优化技术 优化技术
背景情况:
- 微电网需要复杂的能源管理系统 (EMS) 以实现经济效率和运营优化.
- 网联微电网面临负载变化和可再生能源 (RES) 不确定性带来的挑战.
研究的目的:
- 为网联微电网开发一个双层能源管理模型.
- 在不确定的条件下,尽量降低运营成本,同时遵守技术约束.
主要方法:
- 采用了一种双层优化方法.
- 第一个层次使用冠状病毒群体免疫优化器 (CHIO) 进行前一天电池调度,以及用于柴油发电机 (DG) 设定点的拉格朗奇乘法.
- 第二层实施了基于实际条件的重新安排的新实时策略.
主要成果:
- 基于CHIO的双层EMS有效降低了与电网连接的微电网的运营成本.
- 尽管天气,关税和负载预测的实时不确定性,但该系统表现出了最佳的经济性能.
结论:
- 拟议的双层EMS,集成CHIO,为优化微电网经济运营提供了有效的解决方案.
- 实时策略成功地管理不确定性,在动态环境中确保成本效益.
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