综合能源系统的低碳最佳调度基于多策略改进的算法和绿色证书-碳交易协调
1School of Electrical Engineering, Guangxi University, Nanning, China.
PloS one
|September 12, 2025
概括
中国的综合能源系统 (IES) 现在可以利用新的动态贸易框架平衡可再生能源使用和碳减排. 这种系统可以改善时间安排,减少排放和成本,同时提高绿色能源的份额.
科学领域:
- 能源系统工程 能源系统工程
- 环境政策 环境政策
- 计算优化计算优化
背景情况:
- 中国的综合能源系统 (IES) 面临着实现双碳目标的挑战.
- 传统的碳市场缺乏为低碳运营提供动态激励措施.
研究的目的:
- 为IES提出一个协调框架,将动态碳排放交易 (CET) 和绿色证书交易 (GCT) 整合在一起.
- 开发一个先进的优化算法 (MSAGOOSE) 以实现强大的调度.
主要方法:
- 一种基于可再生能源消耗的适应性定价的新型GCT-CET机制.
- 多策略改进的优化 (MSAGOOSE) 算法用于高维调度.
- 在安省24小时IES时间表的案例研究.
主要成果:
- 与最先进的算法相比,MSAGOOSE显示出更高的准确性.
- 拟议的框架将碳排放量减少27.3%,运营成本减少24.8%.
- 在案例研究中,可再生能源的份额增加到88%.
结论:
- 集成的GCT-CET和MSAGOOSE框架有效地平衡了IES的经济和环境目标.
- 这种政策与算法的共同设计为低碳能源转型提供了一个可扩展和灵活的解决方案.
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