为可持续和有弹性的住宅社区优化风能光伏电池微电网
Jyotismita Mishra1, Ajay Shankar2
1Vellore Institute of Technology, Chennai, 600127, India. jyotismita.mishra@vit.ac.in.
Scientific reports
|July 7, 2025
概括
这项研究使用灰狼算法优化风能太阳能电池微电网. 它平衡了成本,可靠性和能源,提高了自给自足和电池寿命.
科学领域:
- 可再生能源系统可再生能源系统
- 优化技术 优化技术
- 微电网设计设计
背景情况:
- 集成太阳能,风能和电池存储的微电网对于偏远和城市的能源需求越来越重要.
- 分布式能源资源 (DER) 的最佳设计是微电网自给自足,可靠性和经济可行性的关键.
- DER的不可预测性需要先进的随机优化,以便有效地管理微电网.
研究的目的:
- 提出基于灰狼的多目标优化技术,用于风能太阳能电池辅助住宅微电网的组件尺寸.
- 通过基于微电网负载配置的最佳组件尺寸来最大限度地降低可再生能源成本.
- 通过建模经济,可靠性和能源指数来解决能源三难题,以实现平衡的三维目标.
主要方法:
- 开发了一个基于灰狼的多目标优化算法.
- 微电网的建模是考虑到经济,可靠性和能源指数.
- 组件尺寸的确定是为了最大限度地降低可再生能源成本.
- 使用容量降解因子分析来评估电池寿命.
主要成果:
- 提出的灰狼优化技术有效地确定了住宅微电网的最佳组件大小.
- 多目标方法成功地平衡了经济,可靠性和能源方面的考虑.
- 数字分析提供了对组件尺寸对电池寿命和微电网性能影响的见解.
结论:
- 基于灰狼的优化是设计高效可靠的风能太阳能电池微电网的强大方法.
- 该方法有助于在微电网系统中实现平衡的能源三难题.
- 优化DER尺寸对于提高微电网自给自足和经济可行性至关重要,同时考虑电池退化.
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