This invention belongs to the field of distribution network optimization and scheduling technology, specifically disclosing a two-stage distributed bar optimization method and
system based on NDOE-guided DSO-
prosumer dynamic negotiation optimization. The method includes acquiring relevant distribution
network data, inputting the data into a pre-constructed NDOE-guided distribution network-
prosumer dynamic negotiation optimization model, obtaining a distribution network optimization scheduling scheme involving DSO and prosumers, and defining the NDOE-guided distribution network-
prosumer dynamic negotiation optimization model as a lower-level prosumer objective function and an upper-level DSO objective function constructed using the ATC
algorithm. The method involves solving the lower-level prosumer objective function to obtain the prosumer response DOE, substituting this DOE into the upper-level DSO objective function, and solving the upper-level DSO objective function to obtain the target DOE. The method iterates until the ATC
algorithm meets the convergence requirement. This invention allows prosumers to actively participate in optimization, effectively avoiding
voltage limit exceedance problems caused by trading disturbances, while also considering the economic interests of market participants.