Incorporating P2P Trading Into DSO's Decision-Making: A DSO-Prosumers Cooperated Scheduling Framework for Transactive Distribution System

• DOI: 10.1109/tpwrs.2022.3187191
• Publication Date: 2022-06-29T19:42:35Z
• Authors: Hongzhang Sheng; Chengfu Wang; Xiaoming Dong; Ke Meng; Zhaoyang Dong
• Keywords: Transactive memory

The emerging prosumers have changed the way traditional distribution systems operate. While harvesting benefits of Distributed Energy Resources (DERs), prosumers' self-dispatching and internal energy trading can also bring technical challenges economic loss to system operator (DSO). To this end, a DSO-prosumers cooperated scheduling framework for transactive system, which considers impact peer-to-peer (P2P) trading, is proposed in paper. First, by incorporating P2P among into scheduling, DSO cooperate optimize power flow. Meanwhile, Nash bargaining theory introduced achieve optimal allocation interests. Then, improve computational efficiency, established problem decomposed two subproblems, i.e., physical flow problem, virtual problem. Finally, order protect individual privacy, each solved via alternating direction method multipliers (ADMM) algorithm distributed manner. Case study based on IEEE 33-bus test verifies effectiveness method.