Distributed Collaboration Method for Peer-to-Peer Transactions in Reconfigurable Distribution Network

Abstract

Peer-to-peer (P2P) energy trading facilitates the sharing and utilization of distributed energy sources within an active distribution network (ADN). However, the temporal variability of P2P energy transactions imposes limitations on their reliance on a fixed distribution network topology, as this may lead to line congestion or voltage deviations. An effective solution is to achieve collaboration between P2P energy trading and the distribution network reconfiguration (DNR). In this paper, a bi-level P2P-DNR framework is proposed for the P2P transactions in a reconfigurable distribution network. At the lower level, P2P transactive energy is employed by prosumers to explore demand-side flexibility. At the upper level, the distribution system operator (DSO) minimizes power losses and enhances the power grid security by considering a multi-period DNR. AC power flow model with line switches is constructed by the DSO and graph-based heuristic switching constraints are considered to promote the DSO's optimal operation. Moreover, a two-tier iterative distributed algorithm with binary variable reduction is developed that enables prosumers to deal with trading in a P2P market at the lower level and the DSO manages the distribution network operation at the upper level. The convergence of the convex iterative algorithm with reduced binary variables is proved theoretically. Case studies are presented to validate the effectiveness of the proposed bi-level P2P-DNR model in terms of market equilibrium, network flexibility, and loss reduction.