A Method for Improving the Data Availability of Distributed Photovoltaic Power Plants

Abstract The growth of distributed photovoltaics is very fast, and there have been situations such as short-term low-voltage distributed photovoltaics sending power to high voltage levels, a voltage exceeding limits, and inadequate operation and maintenance. If data analysis is not done well, it will affect the operation of the power grid and the income of the power station. This article analyses the reasons for the limited data quality of existing distributed photovoltaic monitoring platforms. It proposes a method that can improve the data availability of distributed photovoltaic power plants. By reviewing and repairing abnormal data, efficient application of data can be achieved. It can identify 6 types of abnormal data from 25, and 535 and complete the correction of 6 types of abnormal data. After correction, by comparing the data from nearby power stations, it can be seen that the root mean square deviation is 8.25%.