Remote Control System for New Energy Grid Connected Power Generation Based on Artificial Intelligence

Currently, China's demand for energy is increasing. In order to reduce China's dependence on traditional mineral energy, some achievements have been made in increasing research and development efforts in new energy. With the continuous increase in the scale of new energy grid connection, the proportion of new energy grid connection is constantly increasing, and problems such as grid stability and power quality degradation are becoming increasingly prominent, which directly affects the widespread application of new energy generation technology. This article explored the research on a remote control system for new energy grid connected power generation based on artificial intelligence. Taking the island detection of photovoltaic grid connected inverters based on Adaboost algorithm as an example, the feasibility of the technology was verified through experiments. The experimental data showed that the accuracy, recall, and F0.5 of island effect prediction based on Adaboost algorithm were 0.98, 0.9523, and 0.7811, respectively, which were higher than other algorithms.