通过修改的混乱虫算法最大化微电网能量输出.
Zhiyu Yan1, Yimeng Li2, Mahdiyeh Eslami3,4
1College of Electrical Engineering, Yellow River Conservancy Technical Institute, Kaifeng 475004, Henan, China.
Heliyon
|January 16, 2024
概括
一个新的修改的混沌虫算法 (MCGA) 优化了微电网的能源管理,大大降低了每天的电力成本. 这种先进的方法为清洁能源整合提供了精确,灵活和可适应的解决方案.
科学领域:
- 电气工程 电气工程
- 优化算法 优化算法
- 可再生能源系统可再生能源系统
背景情况:
- 微电网对于可靠和高效的能源分配日益重要.
- 技术经济能源管理战略 (TEMS) 对于优化微电网运营至关重要.
- 整合多种清洁能源带来了复杂的管理挑战.
研究的目的:
- 引入一个修改的混沌虫算法 (MCGA) 来解决微电网中的TEMS问题.
- 优化微电网参数以最大限度地降低整体每日电力成本.
- 评估MCGA的绩效与现有的能源管理策略相比.
主要方法:
- 改进的混沌虫算法 (MCGA) 的开发和实施.
- 在微电网模型中集成燃料电池,电池存储和光伏系统.
- 与已知方法比较的比较模拟分析,如HOMER,GAMS,GWO和MILPA.
主要成果:
- 与基准方法相比,MCGA在最大限度地降低整体每日电价方面表现优异.
- 拟议的MCGA战略实现了显著改进的最佳解决方案.
- MCGA表现出高精度,灵活性和适应不同电力价格和环境条件的适应性.
结论:
- 修改的混沌虫算法 (MCGA) 为微电网TEMS提供了有效和有前途的解决方案.
- 通过精确和灵活的能源管理,MCGA提高了微电网的性能.
- 这种优化策略具有显著的潜力,可以提高清洁能源微电网的经济可行性.
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