The Method of Distributed Photovoltaic Power Generation Situation Awareness Based on Micro-Meteorology
To improve the effect of distributed photovoltaic power generation awareness,this paper proposes a method of distributed photovoltaic power generation situation awareness that considers micro-meteorology.This paper first normalizes the collected data,and then extracts the current weather state data based on the K-means clustering algorithm.Finally,it establishes a model of distributed photovoltaic power generation situation awareness based on the Elman neural network with the status data as the input,so as to realize the function of photovoltaic power generation situation awareness.The experimental results indicate that the accuracy of applying the proposed method for photovoltaic power generation perception is higher than 94.2%,the consumption time is less than 45.3 ms,the perception efficiency and accuracy are both higher,and the application value is greater.
万方数据
维普
