Performance Ratio Test and Uncertainty Evaluation of Photovoltaic Power Generation System based on Linear Regression
Qingbin Yang, Lianghui Xu, Lie Xia, Zhilei Chen, Shuangqing Zhang, Rongrong Zhou · 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) · 2021
With the development of photovoltaic industry technology, the installed capacity of photovoltaic power generation is increasing, and the evaluation of performance ratio (PR) of photovoltaic power generation system is extremely important. The PR test of photovoltaic power generation system has been studied and defined in domestic and foreign standards early, and test methods have also been given, but these test methods have a strong dependence on the weather conditions during testing, and the uncertainty evaluation is extremely difficult. In this paper, a testing and evaluation method including uncertainty evaluation for PR of photovoltaic system based on linear regression is proposed. This method reduces the dependence on the weather conditions during the whole testing period, and also makes the uncertainty evaluation feasible. Finally, a numerical example proves the rationality of using this method to test the PR of photovoltaic power generation system. Compared with the traditional method, it is shown that this method reduces the sensitivity to the weather conditions in the test, it can truly reflect the performance of the photovoltaic power generation system, and has a higher engineering practice and application value.