Application of Grey Wolf Algorithm in Phased Planning of Wind Power Integration into Distribution Network

This research centers on using the gray wolf optimization algorithm for wind power access distribution network phased planning and suggests a model utilizing multi-objective optimization to address issues like power fluctuations, uneven load distribution, and voltage fluctuations. This study examines how wind power access affects the distribution network, implementing the gray wolf optimization algorithm to strategically plan the network's stages for system stability and cost-effectiveness. Experimental results show that this algorithm has significant advantages in improving network efficiency, reducing power loss and enhancing voltage stability. The research has verified the superior performance of the gray wolf optimization algorithm under complex constraints and provided effective technical support for distribution network planning for large-scale wind power access.