DSO-prosumers cooperative scheduling approach considering multi-timescale peer-to-peer transactions of electricity and flexibility resources

Abstract

The rapid evolution of peer-to-peer (P2P) transaction mechanisms has facilitated end-use prosumers in energy sharing to enhance energy utilization and address uncertainties in renewable energy sources (RES). However, the lack of coordination across different timescales and heterogeneous distributed resources results in potential economic losses. To this end, a cooperative scheduling approach considering multi-timescale P2P transactions is proposed. Firstly, multi-timescale P2P transactions mechanism is proposed to coordinate the heterogeneous resources between prosumers. In day-ahead stage, prosumers engage in electricity transactions using expected output of RES. In intraday stage, flexible resources are traded among prosumers to mitigate prediction deviation of RES. Meanwhile, the Nash bargaining theory is introduced to allocate the interests. Then, to determine reasonable flexibility requirement in intraday stage, a two-side chance constrained economic dispatch (TS-CCED) model is proposed, in which DSO can set the reference requirement interval at given confidence level to balance the economy and safety of system operation. Finally, to reduce the computational complexity, the Gaussian mixture model is applied to convert the TS-CCED model into a convex optimization problem with guaranteed accuracy. Case study based on the IEEE 33-bus system and IEEE-123 bus system verifies the effectiveness of the proposed method.