使用改进的遗传鱼算法优化建筑集成能源调度
1College of Electrical and Computer Technology, Jilin Jianzhu University, Changchun, Jilin, China.
Scientific reports
|January 29, 2024
概括
这项研究利用一种新的算法优化了集成能源系统的能源调度,大大降低了成本和碳排放. 增强的鱼算法可确保不同能源需求的建筑物的稳定和高效运行.
科学领域:
- 能源系统工程 能源系统工程
- 环境科学 环境科学
- 计算智能是一种计算智能.
背景情况:
- 越来越多的环境问题推动了向可再生能源发电的转变.
- 可再生能源的不稳定性和不同的用户需求需要优化能源调度.
- 建筑集成能源系统 (BIES) 为管理各种能源组件提供了解决方案.
研究的目的:
- 为BIES开发一个能源调度优化模型.
- 优先考虑经济效率并尽量减少碳排放.
- 为应对可再生能源不稳定性和需求波动带来的挑战.
主要方法:
- 收集和预处理区域建筑符合性数据.
- 实施一个增强的多目标遗传鱼算法.
- 组件的集成:燃气轮机,风能/太阳能模块,热,电动汽车,交流,和储能.
主要成果:
- 改进的鱼算法显示出强大的融合和稳定性.
- 优化日程安排有效地平衡了经济和环境目标.
- 实现了~92.896元的平均每日成本降低和~0.091的碳排放减少.
结论:
- 提出的模型和算法对于优化BIES运行是有效的.
- 实现了显著的成本节约和环境效益.
- 这种方法促进了高效的能源管理,并减少了对环境的影响.
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