摘要
利用多时间尺度下并网光伏电站电量资料以及同期的气象资料,研究了不同季节下典型气象因子对光伏发电量的影响机制和多变量间的耦合关系.结果表明:采用日尺度,全年日光伏发电量与日太阳总辐射的相关性最显著,其余依次是日照时数、气温日较差、日相对湿度(负相关)、日最高气温、日平均气温;不同季节中,夏季要考虑高温高湿的影响,春、秋、冬3季则要考虑气温日较差的影响;采用小时尺度,全年平均逐时光伏发电量与太阳总辐射的日变化趋势基本一致.
Based on multi-time scale power data from grid-connected photovoltaic power station and meteorological data over the same period, the impact of typical meteorological factors on the photovoltaic power generation under different seasons and their multi-variable coupling relationship are analyzed. Adopting daily-scale, daily photovoltaic power generation during the whole year has the most significant correlation with daily global solar irradiation, followed by sunshine duration, diurnal temperature range, relative humidity （with negative correlation）, daily maximum temperature, daily average temperature. In different seasons, the influence of high temperature and high humidity in summer, and diurnal temperature range （indicating weather types） in other seasons are considered. Adopting hour-scale, diurnal change of photovoltaic power generation remains almost the same as the global solar irradiation.
出处
《上海电力学院学报》
CAS
2016年第3期261-266,共6页
Journal of Shanghai University of Electric Power
基金
国家自然科学基金青年项目(51307105)
上海市高校青年教师培养资助计划(ZZsd113016)
上海电力学院人才基金项目(k2013-010)
关键词
光伏发电量
太阳总辐射
日照时数
气温日较差
时间尺度
PV power generation
the global solar irradiation
sunshine duration
diumal tem- perature range
time scale
作者简介
通讯作者简介：赵晋斌（1972-），男，博士，教授，湖北武汉人．主要研究方向为现代电力电子技术在电力系统中的应用，新能源发电技术．E-mml：zhaojinbin@shiep．edu．cn．
