DSO-prosumers bi-level distributionally robust optimization method with NDOE guidance in the P2P energy trading

Peer-to-peer (P2P) trading provide solutions for improving distributed energy utilization and system flexibility through a decentralized trading model between prosumers. However, prosumers cannot take into account network constraints when trading under incomplete information, and the uncertainty of renewable energy output can easily lead to security problems such as voltage violation, which will bring potential risks to the safe operation of the distribution network. To this end, this paper proposes a negotiated dynamic operating envelope (NDOE) guidance DSO-prosumers dynamic negotiation optimization method to realize the coordinated optimization of system security and economy. This method constructs a bi-level distributionally robust coordination framework. By comprehensively considering the cross-period scheduling and coupled coordination of flexible resources, the upper-level DSO and lower-level prosumers gradually converge through multiple rounds of iterative information and strategy exchange to an optimal import/export power envelope that balances mutual utility. In this way, a P2P market is realized that not only meets the safety requirements of the distribution network but also maximizes the trading freedom of prosumers. Simultaneously, a prosumer P2P trading model based on two-stage distributionally robust optimization (TSDRO) is introduced to improve the applicability of the method in the scenario of renewable energy output uncertainty. To solve the bi-level model with a parallel-coupled structure established in this paper, a TriAMC-ATC nested distributed algorithm is introduced, ensuring the independence and dynamic optimality of the decision-making processes of different participants while meeting the privacy requirements of prosumer trading. The improved IEEE 33-node system is analyzed, and the results verify the effectiveness of the proposed model and method.