一种新的方法来提高光伏发电的功率质量,基于24个太阳能项
Qingqing Li1, Wangjie Pan2, Wangwang Jin2
1College of Civil Engineering and Architecture, Qingdao Agricultural University, Qingdao, 266109, People's Republic of China. lqq76@163.com.
Scientific reports
|April 24, 2025
概括
这项研究使用中国的24个太阳能条件来预测光伏发电,改进电网连接方法. 新方法将电网稳定性提高17.75%,有助于大规模的光伏集成.
科学领域:
- 可再生能源系统可再生能源系统
- 电网集成技术 电网集成技术
- 太阳能发电预测 太阳能发电预测
背景情况:
- 越来越多的联网光伏 (PV) 发电给电网稳定带来了挑战,因为它具有间歇性.
- 太阳能发电量受到天气和季节性变化的重大影响,需要改进预测和整合策略.
研究的目的:
- 调查中国24个太阳能条款对光伏发电的影响.
- 开发和验证基于太阳能条件的光伏系统的优化电网连接方法.
主要方法:
- 对24个太阳能项的分析,以确定与光伏输出的相关系数.
- 建议使用太阳能项的平均值进行电网连接方法.
- 使用转移学习模型优化拟议的方法.
主要成果:
- 建立了光伏输出和太阳能条件之间的相关系数.
- 拟议的电网连接方法通过转移学习进行了优化,在小型光伏发电厂上进行了验证.
- 该方法表明,电网稳定性增加了17.75%.
结论:
- 开发的平均电网连接方法准确地反映了季节性太阳辐射变化.
- 这种方法提供了一种实际的策略,用于增强连接到电网的光伏系统,并促进大规模的光伏电力集成.
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