【摘要】 针对在先验知识较少的状况下对大规模光伏发电系统的运行状态评估极为困难的问题,建造了新一代太阳能电站。首先对其在不同的工作环境下产生的多维监测数据进行主成分分析(PCA)降维;然后使用层次聚类分析,评估光伏电站运行状态。实验表明:该方法有效解决了在先验知识缺乏情况下对光伏电站的运行状态评估,具有重要的理论和应用价值。更多还原

【Abstract】 Aiming at the problem that it is extremely difficult to evaluate the operational status of large-scale photovoltaic power generation systems with less prior knowledge,a new generation of solar power plants is built.Firstly,the multi-dimensional monitoring data generated in different working environments is subjected to principal component analysis( PCA) dimensionality reduction,and then hierarchical cluster analysis is used to evaluate the operating status of the photovoltaic power plants. Experiments show that this method effectively solves the evaluation of the operating state of photovoltaic power plants in the absence of prior knowledge,and has important theoretical and practical value.更多还原