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

New energy power generation has strong randomness and volatility. Especially in the case of a high proportion NE (network security) generation, its sudden random short period time will seriously affect stable operation grid. Therefore, this paper proposes BP neural network algorithm to study distributed grid-connected cooperative control technology. First all, studies artificial intelligence detail applies it coordinated grid-connected; then, based on status quo renewable PG (power generation), establishes suitable wind speed series model, thus an optimization model rolling scheduling algorithm. The experimental results show that average running is maintained at about 0.2 s, which can effectively realize online operation. In addition, through adjustment, error between total output curve unit actual be significantly reduced. research shows good effect, promote development farms systems, increase capacity systems.