一种基于时间划分的受限多目标优化方法,用于煤矿集成能源系统调度问题
IEEE transactions on cybernetics
|January 6, 2026
概括
本研究介绍了一种基于时间划分的新算法,以解决复杂的煤矿综合能源系统调度问题. 新方法提高了对高维能量系统的优化性能.
科学领域:
- 工程 工程师 工程师 工程师
- 优化优化 优化优化
- 能源系统 能源系统
背景情况:
- 煤矿综合能源系统调度问题 (CMIES-DP) 是一个复杂的,高维的,受约束的多目标优化问题 (CMOP).
- 现有的受约束的多目标进化算法 (CMOEA) 难以处理高维变量,缺乏对CMIES-DP目标和约束的具体分析.
研究的目的:
- 提出一个基于时间划分的新型CMOEA (TDCEA),适用于CMIES-DP.
- 解决当地最佳的挑战,并提高CMIES-DP.的搜索能力.
主要方法:
- 根据目标和约束的时间关系,将CMIES-DP分解为更小的子问题.
- 顺序解决子问题和随机连接决策变量.
- 组合解决方案集的优化,以找到可行的帕雷托最佳解决方案.
- 对约束-目标关系的分析,以指导人口演变.
主要成果:
- 拟议的TDCEA被应用于一个真实的CMIES-DP案例.
- 实验结果显示,TDCEA在多样性,融合和分布方面优于先进的算法.
- 该算法有效地处理了问题的高维和多目标性质.
结论:
- 与现有的方法相比,TDCEA为解决CMIES-DP提供了一种优越的方法.
- 时间划分策略和指导人口演变显著提高了优化性能.
- 这项研究为复杂的能源系统调度问题提供了有针对性的技术.
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