Transaction Impact Factor Based Transactive Energy Framework for Distribution Network Management Using Collaborative Multiagent Optimization Method

Transactive energy systems are transforming traditional distribution grids into dynamic, market-based environments. However, fully achieving this vision requires addressing key challenges in distributed optimization and decentralized coordination. To this end, this paper proposes a novel framework to realize the benefits of transactive systems using targeted economic mechanisms and collaborative optimization methods. The proposed framework introduces a novel economic concept termed the transaction impact factor that links trading incentives with distribution locational marginal prices. By considering this factor, market decisions reflect the true operational impact on the grid. Moreover, to enable independent agents to collaborate iteratively and maximize their individual benefits, this paper develops a cyclic pattern identification-driven convergence algorithm. Simulation tests on an IEEE feeder system validate the effective performance of the proposed method in improving market efficiency, grid reliability, and integration of distributed resources.