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使用改进的鱼优化算法进行微网的经济高效和可持续运行

Sohayla M El-Zaher¹, Aya M Ahmed¹, Eman M Ahmed¹

¹Electrical Engineering Department, Faculty of Engineering, Mansoura University, El- Mansoura, 35516, Egypt.

Scientific reports

|February 3, 2026

概括

本研究介绍了一种改进的鱼优化算法 (IWOA),用于微电网 (MGs) 中的能源管理系统 (EMS). IWOA显著降低了39.66%的运营成本,同时确保了可靠的电力供应.

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
优化算法优化算法

背景情况:

全球向可持续能源的转变需要弹性微电网 (MG) 和高效的可再生能源整合.
由于可变的可再生能源发电和波动的电网价格,在MGs中管理能源供应和需求是具有挑战性的.
现有的能源管理系统 (EMS) 可能在电网连接和岛屿模式中难以实现成本效益和适应性.

研究的目的:

为微电网 (MG) 开发一个具有成本效益和可持续的能源管理系统 (EMS).
增强MG在电网连接和岛屿模式下运行的弹性和经济绩效.
为应对可再生能源的变化和电网价格波动所带来的挑战.

主要方法:

开发了一种改进的鱼优化算法 (IWOA),具有非线性游泳参数和莱维飞行机制.
集成动态能源交易策略,以优化实时电网交互.
在基准低压微电网 (MG) 系统上进行模拟和验证.

主要成果:

与标准算法相比,拟议的基于IWOA的EMS实现了39.66%的运营成本降低.
IWOA的竞争性运行时间为4.2分钟,这表明了效率.
动态能源交易策略有效优化了实时能源交易.

结论:

使用IWOA开发的EMS框架为微电网能源管理提供了强大的解决方案.
这种方法提高了现代电力系统的经济可行性和环境可持续性.
该研究验证了微电网运行先进优化技术的有效性.

关键词:

能源管理系统能源管理系统改进了鱼优化功能微电网就是一个微电网.可再生能源是可再生能源的来源.

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