通过短期测试得到的PR,会受到环境温度、太阳辐照度、风速和风向等环境因素的影响而出现不同程度的季节偏差,使其难以体现光伏系统的中、长期运行状况.文章利用PR气象修正方法对实例电站的运行数据进行统计和分析,最终得到PR的最佳短期测试方案,进而实现光伏组件温升损失的量化分析.分析结果表明:在对PR进行季节偏差修正的前提下,当测试时间仅为1~3 d时,应选择在日照条件较佳的时间段进行测试,若日照条件不稳定,则须要延长监测天数至7 d以上,以上方案均能够提升PR的测量精度;光伏系统的温升损失是导致光伏系统发电量损耗的重要因素.%The short-term test data of PR is impacted by ambient temperature, irradiance, wind speed, wind direction, and the other external environmental factors. Thesefactors result insome different degree of seasonal bias to PR short-term testing data, which makesithard to reflect the medium and long term running status of PV system. In this paper, the weather-corrected method is used to carry out statistic and analysis on the operation data of the sample PV station. According to the statistics, a better short-term test scheme for PR testing of PV system is proposed, and the quantitative analysis method of temperature rising loss is also presented. It is shown that there are two ways to improve measuring precision of PR. Under the premise of seasonal bias correction of PR testing data, if testing time is only 1~3 days, it is better to execute the test when irradiation conditions are better; when the irradiation conditions are not stable, the number of testing days are needed to extend to 7 days or more. In addition, the temperature rising loss of PV modules is the most important factor that causes the electric energy loss of PV system.
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