太阳能Issue(12)：67-73,7.DOI:10.19911/j.1003-0417.tyn20221020.02
基于K-means算法和积灰损耗系数的中国西北地区光伏电站清洗策略建模分析
MODELING AND ANALYSIS OF CLEANING STRATEGY FOR PV POWER STATIONS IN NORTHWEST CHINA BASED ON K-MEANS ALGORITHM AND DUST ACCUMULATED LOSS COEFFICIENT
摘要
Abstract
In response to the lack of scientific and reasonable cleaning strategies for removing surface dust from PV modules in the Northwest China,this paper proposes a PV power station cleaning strategy model based on the K-means algorithm and dust accumulation loss coefficient.Cluster the power generation logs of PV power station using the K-means algorithm to obtain sunny data samples.Use this sample data to fit the curve of PV module power generation capacity and dust accumulation duration,solve the dust accumulation loss coefficient,and establish a cleaning strategy model in conjunction with the cleaning cost of PV power station;Taking a PV power station in Northwest China as an example for analysis,after comparing the obtained cleaning economic threshold with the long-term operating experience model calculation results of the PV power station,it is found that the accuracy of the model is relatively high.This study aims to provide new ideas for the research of cleaning strategies for PV power stations in Northwest China.关键词
光伏电站/光伏组件/K-means算法/积灰损耗系数/清洗策略Key words
PV power station/PV module/K-means algorithm/dust accumulation loss coefficient/cleaning strategy分类
信息技术与安全科学引用本文复制引用
宗嵩,曾维才,陈志勇,赵多元,何建军,黄财源..基于K-means算法和积灰损耗系数的中国西北地区光伏电站清洗策略建模分析[J].太阳能,2023,(12):67-73,7.基金项目
国家电投五凌电力公司科技项目(320236JJ0920210001) （320236JJ0920210001）
