一个多重负载平衡控制战略,用于建筑物的新型低碳综合能源系统
Wenjie Wang1, Yefan Shu1, Zhengyu Wang2
1Huaiyin Institute of Technology, Huaiyin Jiangsu, China.
PloS one
|August 14, 2025
概括
本研究介绍了一种新的多重负载平衡控制策略 (MLBS),用于构建能源系统,利用改进的金枪鱼群优化 (ITSO). 通过优化能源存储和负载管理,MLBS显著降低了成本和碳排放.
科学领域:
- 能源系统工程 能源系统工程
- 优化算法 优化算法
- 可持续发展的建筑设计
背景情况:
- 全球不断增长的能源需求需要创新的建筑能源解决方案.
- 整合能源存储系统是提高建筑能源灵活性的关键.
- 减少碳排放是现代能源管理的一个关键方面.
研究的目的:
- 为建筑能源系统提出和评估多重负载平衡控制策略 (MLBS).
- 通过集成存储,增强建筑能源系统的灵活调度能力.
- 降低建筑能源管理中的经济成本和碳排放.
主要方法:
- 开发了一个多重负载平衡控制策略 (MLBS),使用了改进的金枪鱼群优化 (ITSO) 算法.
- 集成电池和压缩空气储能到建筑能源系统中.
- 通过使用低碳经济调度模型,使用MLBS和没有MLBS的案例研究建筑群进行了比较.
主要成果:
- 在案例研究中,MLBS有效调整了电和热负荷.
- 应用MLBS导致季度规划成本,运营成本,碳交易成本和总碳排放量大幅减少.
- 运输系统经营者-MLBS能源调度策略证明了最短的计算时间和最低的能源调度成本.
结论:
- 拟议的MLBS与低碳经济调度模型相结合,为建筑能源系统的经济效率和碳排放减少提供了显著的改进.
- ITSO算法为能源调度提供了一种有效的优化方法.
- 综合能源储存和控制战略提高了建筑能源管理的整体性能和可持续性.
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