Full distributed P2P market and distribution network operation based on ADMM: Testing and evaluation

This work models a distributed community-based market with diverse assets (photovoltaic generators and energy storage systems), accounting for network constraints and adopting the relaxed branch flow model. The market is modeled in a single and fully distributed approach, employing the alternating direction method of multipliers (ADMM) to prevent voltage and line capacity problems in the community network and improve data privacy and reduce the communication burden. Different scenarios, based on the penalty term and the agents' number, are tested to study the efficiency of the algorithm and the convergence rate of the ADMM distributed model. The proposed method is tested on 10-bus, 22-bus, and 33-bus medium voltage radial distribution networks, where each node contains a large prosumer with one or several assets. One important conclusion is that the implemented residual balancing technique improves the efficiency of the ADMM distributed algorithm by increasing the convergence rate and reducing the computational time.

Automated summary

This work provides a model for a diverse distributed community-based market with photovoltaic generators and energy storage systems. The model considers network constraints and uses the relaxed branch flow model. It employs the ADMM method to prevent voltage and line capacity issues, improve data privacy, and reduce communication burden. The proposed method is tested on various scenarios and radial distribution networks, showing improved efficiency with the implemented residual balancing technique.