微气象的分布式光伏发电态势感知方法  

The Method of Distributed Photovoltaic Power Generation Situation Awareness Based on Micro-Meteorology

作　　者：叶德亮 YE Deiang(Shanwei Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Shanwei,Guangdong Province,056015 China)

机构地区：[1]广东电网有限责任公司汕尾供电局,广东汕尾516600

出　　处：《科技资讯》2024年第1期74-77,共4页Science & Technology Information

摘　　要：为提高分布式光伏发电感知效果,提出考虑微气象的分布式光伏发电态势感知方法。首先对采集数据归一化处理,然后基于K-means聚类算法提取当前时刻天气状态的数据,最后以天气状态数据作为输入,基于Elman神经网络完成分布式光伏发电态势感知模型的建立,实现光伏发电态势感知的功能。实验结果表明,应用所提方法进行光伏发电感知,其准确率高于94.2%,且消耗时间低于45.3 ms,感知效率及感知准确率均较高,应用价值较大。To improve the effect of distributed photovoltaic power generation awareness,this paper proposes a method of distributed photovoltaic power generation situation awareness that considers micro-meteorology.This paper first normalizes the collected data,and then extracts the current weather state data based on the K-means clustering algorithm.Finally,it establishes a model of distributed photovoltaic power generation situation awareness based on the Elman neural network with the status data as the input,so as to realize the function of photovoltaic power generation situation awareness.The experimental results indicate that the accuracy of applying the proposed method for photovoltaic power generation perception is higher than 94.2%,the consumption time is less than 45.3 ms,the perception efficiency and accuracy are both higher,and the application value is greater.

关 键 词：微气象 分布式光伏 发电态势 感知方法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]