使用多策略的微电网的经济调度管理方法 改进的沙猫群优化
Bingnan Liu1, Zhiyi Song2, Huiji Wang3
1School of Business, Macau University of Science and Technology, Taipa, Macau 999078, China.
Biomimetics (Basel, Switzerland)
|November 26, 2025
概括
一个新的多策略改进的沙猫群优化 (MISCSO) 算法增强了微电网经济调度. 这种先进的方法提高了实现碳减排和绿色投资目标的效率和灵活性.
科学领域:
- 能源管理 能源管理
- 优化算法 优化算法
- 微电网系统 微电网系统
背景情况:
- 数字经济推动了智能,数据驱动的能源管理.
- 环境,社会和治理 (ESG) 因素对于企业的竞争力至关重要.
- 微电网调度对于企业的碳减排和低碳发展至关重要.
研究的目的:
- 解决传统微电网经济调度算法的局限性,例如低效率,可扩展性和灵活性.
- 提出一种新的多策略改进的沙猫群优化 (MISCSO) 算法,用于增强微电网经济调度.
主要方法:
- 开发了一种分布优化的初始化方法,并提供适应性多样性指导,以获得优异的初始人口质量.
- 引入以精英为中心的全球随机移动策略,以平衡精英指导和全球探索.
- 实施了自适应弹性边界映射机制,以管理边界违规行为并增强全球搜索能力.
主要成果:
- 与IEEE CEC2017基准集中的11个最先进的算法相比,MISCSO表现出卓越的优化准确性,融合速度和稳定性.
- 统计分析证实了显著的业绩改善.
- 该算法在微电网经济调度应用中取得了卓越的优化结果.
结论:
- MISCSO算法为智能微电网经济调度提供了重大进步.
- 它有效地平衡了解决方案质量,融合和约束处理.
- MISCSO为追求碳减排和可持续发展目标的企业提供了强大而高效的解决方案.
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