A Fully-Decentralized Transactive Energy Management under Distribution Network Constraints via Peer-to-Peer Energy Trading

    This dataset is used to study the P2P-based distributed transactive energy management problem in the distribution system, which is solved via a fully-decentralized ADMM approach. Considering that P2P trading is a form of the decentralized trading, a fully decentralized computation algorithm without a central supervisor is proposed to compute our proposed model on a peer-to-peer basis. A multi-period AC optimal power flow (OPF) model is used to monitor power flow in distribution system. The exactness of second-order cone relaxation is recovered by the convex-concave procedure, making sure that P2P transactions do not violate network constraints. Numerical results of the IEEE 33-bus and 141-bus distribution systems which are based on the given dataset verify the effectiveness of our proposed method in ensuring physical feasibility, lowering data communication and protecting data privacy during P2P energy trading.