Aiming at the complexity of distribution network scheduling caused by high permeability distributed power access

this study builds a collaborative control strategy for fusion model prediction

uncertainty modeling and multi-time scale control. This paper studies the construction of a distributed power supply-friendly scheduling framework from three aspects: the physical layer

the control layer and the information layer

puts forward an output optimization model based on model prediction

builds a dynamic adjustment mechanism that takes into account the randomness of the source charge

and designs a multi-time-scale active-reactive power collaborative control algorithm covering long-term planned to second-level response. The improved IEEE 33 node system is used for simulation verification to evaluate the performance of the strategy in terms of voltage stability

response timeliness and control resource efficiency. The results show that the proposed method has good adaptability and robustness.