低碳低电压直流微电网的优化控制方法,经济性和可靠性.
Shenggang Zhu1, Enzhong Wang2, Fanfei Zeng3
1CHN Energy Technology & Environment Group Co., Ltd, Beijing 100039, China.
ACS omega
|January 6, 2025
概括
本研究提出了DC微电网的新优化方法,以提高经济性,减少碳排放,提高安全性. 这种方法确保了高效的能源管理,并延长了储能系统的寿命.
科学领域:
- 电气工程 电气工程
- 能源系统 能源系统
- 优化算法 优化算法
背景情况:
- 电流微电网提供经济,低碳和安全方面的优势.
- 管理可再生能源 (如光伏) 和负载的不确定性对于高效运行至关重要.
- 现有的方法可能无法完全满足直流微电网的多目标优化需求.
研究的目的:
- 为低压直流微电网提出一个多场景优化控制方法.
- 为了增强经济效益,减少碳足迹,并确保系统安全.
- 优化能源储能系统在整个生命周期中的运行.
主要方法:
- 利用了Wasserstein生成对抗网络与梯度惩罚 (WGAN-GP) 和K-means集群用于场景生成.
- 开发了基于使用时间的电价和运行模式的能源交换策略.
- 建立了一个多目标优化模型,其目标是净收入,储能利用率和二氧化碳排放.
- 采用非主导排序北极优化算法 (NSAPOA) 和多属性边界近似区域比较 (MABAC) 进行优化.
主要成果:
- 拟议的NSAPOA有效地为多目标问题产生帕雷托最佳解决方案.
- WGAN-GP和K-means方法成功地处理了光伏输出和负载的不确定性.
- 综合方法实现了经济和低碳运行,考虑到储能器件的使用寿命.
结论:
- 开发的优化控制方法为DC微电网的经济和低碳运行提供了强大的解决方案.
- 这种方法有效地平衡了竞争目标,包括利能力,能源效率和环境影响.
- 这种方法有助于可持续和高效地将可再生能源整合到DC微电网系统中.
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