基于多目标混沌的人工蜂鸟算法的区域综合能源系统的低碳经济调度方法
Jie Cao1, Yuanbo Yang2, Nan Qu3
1School of Computer Science, Northeast Electric Power University, Jilin, 132012, China. caojie@neepu.edu.cn.
Scientific reports
|February 19, 2024
概括
本研究引入了一个新的低碳经济调度方法,用于区域综合能源系统 (RIES). 这种方法优化了成本,减少了碳排放,支持碳中和目标.
科学领域:
- 能源系统工程 能源系统工程
- 环境科学 环境科学
- 运营研究 运营研究
背景情况:
- 区域综合能源系统 (RIES) 连接各种能源子系统,以满足各种需求并提高效率.
- 在RIES中实现经济和环境效益对于实现"碳峰值和碳中和"目标至关重要.
- 现有的运输方式可能无法充分平衡经济成本与减少碳排放.
研究的目的:
- 为RIES开发一种新的低碳经济运输方法.
- 为了同时优化经济和环境绩效.
- 为了方便选择与碳减排目标一致的最佳运营计划.
主要方法:
- 为RIES制定一个全面的低碳经济调度模型.
- 建议和应用一个多目标混沌的人工蜂鸟算法来推导帕雷托边界.
- 实施TOPSIS方法,结合主观和客观权重,以选择最佳解决方案.
主要成果:
- 拟议的方法显示出优异的优化结果,融合效率和解决方案多样性.
- 实现了系统运营经济成本降低8.8%.
- 实现了碳排放量减少14.2%.
结论:
- 这种新的低碳经济运输方法有效地平衡了RIES中的经济和环境目标.
- 多目标混沌的人工蜂鸟算法和TOPSIS方法为RIES最佳运行提供了一个强大的框架.
- 这些发现支持向可持续能源系统的过渡和实现碳减排目标.
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