Information interaction and optimal scheduling method for prosumers in an energy community considering the profit driven degree

Driven by the evolution of the energy internet, distributed energy growth, and power system modernization, consumers are transforming into prosumers with both production and consumption capabilities. This paper develops a prosumer trade model incorporating profit driven degree. A profit driven mechanism, based on Weber-Fechner's law, measures how trading decisions respond to real-time electricity price sensitivity and demand urgency. Through information exchange among neighboring prosumers, a distributed convergence optimization method is applied to rapidly determine consistent transaction power. An optimal scheduling model is built to minimize operating costs for all prosumers, solved via the alternating direction multiplier method. Using the IEEE-33 node distribution network with 19 prosumers, simulations verify the model's effectiveness. Results show a 17.1% reduction in total community cost and up to 41.2% reduction in main grid purchases when profit driven behavior and information interaction are considered. The synchronous ADMM algorithm converges in about 10 iterations, demonstrating the model's economic efficiency, enhanced clean energy utilization, and computational suitability for engineering applications.