基于非主导排序虫优化算法的微电网调度策略的研究.
Yutong Chen1, Wu Ning2, Wei Du1
1Department of Electronic and Information Engineering, Liaoning University of Technology, Jinzhou, 121001, China.
Scientific reports
|May 20, 2025
概括
本研究介绍了一种新的微电网调度策略,使用非主导排序杂草虫优化算法 (NSDBO). 通过改善可再生能源整合,NSDBO算法提高了微电网的经济效益和运营效率.
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:
- 微电网为可再生能源提供自动操作和管理,提高电力供应的可靠性.
- 微电网面临着经济效益低,运行效率低下的挑战.
- 优化微电网调度对于最大限度地发挥其潜力至关重要.
研究的目的:
- 制定先进的微电网调度策略,以克服经济和运营效率低下的问题.
- 为微电网应用引入非主导排序虫优化算法 (NSDBO).
- 在多目标微电网优化中,增强全球搜索能力,避免局部优化.
主要方法:
- 实现非主导排序虫优化算法 (NSDBO).
- 将非主导分类机制集成到层级解决方案集中.
- 与灰狼优化器 (GWO) 和标准的泥甲虫优化 (DBO) 相比,NSDBO的评估.
主要成果:
- 与其他算法相比,NSDBO在超量 (HV) 和代际距离 (GD) 中表现出卓越的性能.
- 该算法有效地避免了本地最佳值,并改善了全球搜索能力.
- 与GWO相比,NSDBO的整体运营成本降低了52%,与DBO相比降低了8.1%.
结论:
- 拟议的NSDBO算法有效地改善了微电网的经济效益.
- NSDBO提高了运营效率,并减少了微电网中的环境污染.
- 这一战略为优化微电网性能和整合可再生能源提供了一个有希望的解决方案.
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