摘要
结合北京地区实际环境因素和某光伏并网发电系统运行数据,对PM2.5和环境温度进行等级划分。利用灰色关联度模型,得到系统因素(PM2.5浓度、环境温度)与系统特征(组件温度、辐射量、发电量)之间相互影响的灰色关联度及系统准优因素和准优特征。发现轻度雾霾时,对发电量影响可忽略不计;中度雾霾且环境温度偏低时,PM2.5影响组件温度,环境温度升高时,影响辐射量;重度污染甚至严重污染时,PM2.5主要影响辐射量,对组件温度影响小。
Combined with the actual environmental factors in Beijing and a PV grid-connected power generation system operating data,the PM2.5 and environment temperature are graded.Based on the gray relation degree model,the PM2.5 concentration and environment temperature are set as the system factor and the PV module temperature,radiation and power generation are set as the system characteristics.The gray relation degree and system quasi-optimal factors between the system factors and the system characteristics are obtained,as well as the quasi-excellent features.When the haze is light,the impact on power generation is negligible.However,with the increase of haze,when the environment temperature is low,PM2.5 affects the PV module temperature and then the environment temperature increasing,PM2.5 affects the amount of radiation.When the haze forms severe pollution and even serious pollution,PM2.5 mainly affects the amount of radiation,the impact on the PV module temperature is small.
作者
李英姿
曾万昕
李智
胡亚伟
LI Yingzi;ZENG Wanxin;LI Zhi;HU Yawei(Beijing University of Civil Engineering and Architecture,Beijing 100049,China;State Grid Beijing Changping Electric Power Supply Company,Beijing 102200,China;China Railway Huatie Engineering Design Group Co,Ltd,Beijing 100071,China;Beijing Electric Power Engineering Company,Beijing 100070,China)
出处
《电器与能效管理技术》
2018年第14期56-62,共7页
Electrical & Energy Management Technology
关键词
PM2.5浓度
光伏发电量
环境温度
灰色关联度
组件温度
辐射量
PM2.5 concentration
PV power generation
environment temperature
gray relation degree
PV module temperature
radiation amount