AUTHOR=Lu Yonglin , Sun Jinyong , Hu Jinying , Chen Rui , Liao Yifa , Shang Jingrui 

TITLE=Investigation on the coordinated operation control technology of distributed new energy grid connection using artificial intelligence algorithms

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2023.1253890

DOI=10.3389/fenrg.2023.1253890

ISSN=2296-598X

ABSTRACT=New energy power generation has strong randomness and volatility. Especially in cases where the proportion of NE(Network Security) generation is high, its sudden random generation in a short period of time will seriously affect the stable operation of the power grid. Therefore, this article proposes the BP neural network algorithm to study the collaborative operation control technology of distributed NE grid connection. Firstly, a detailed study was conducted on artificial intelligence algorithms and applied to the coordinated operation control of distributed NE grid connection. We have studied the current situation of renewable energy PG(Power Generation) and established a suitable wind speed time series model. An optimization model based on rolling scheduling optimization algorithm has been proposed. According to the experimental results, it can be seen that the average operation time of the rolling scheduling optimization algorithm is maintained at around 0.2 seconds, which can effectively achieve online operations. In addition, by rolling adjustment, the error between the total output curve of the unit and the actual total output curve of the unit can be significantly reduced. It can be seen that the rolling scheduling optimization algorithm has good optimization effects.The research in this article can promote the coordinated development of wind farms and power systems, and improve the capacity of power systems.