Distributed Day-ahead and Intraday Rolling Trading among Multi-electro-Hydrogen Coupling Micro Energy Network Systems

China has entered an accelerated stage in which hydrogen energy plays a pivotal role in advancing cutting-edge technologies and driving industrial transformation. Industry development trends suggest that the hydrogen energy or electro-hydrogen coupling sectors will transition from a centralized cooperative business model to a more decentralized individual model. This paper explores the establishment of the micro energy network centered around electro-hydrogen coupling energy storage during the technology maturation stage, and investigates the coordination and distributed day-ahead and intraday rolling scheduling strategies within the network. First, a two-stage day-ahead scheduling model is developed, comprising a multi-micro energy network interconnection collaborative energy management decision model with electro-hydrogen coupling energy storage systems, and a multi-micro energy network energy-sharing trading decision model based on non-cooperative game theory. For intraday scheduling, this paper introduces a multi-agent reinforcement learning algorithm to dynamically update the day-ahead plan through exploration-decision-reward mechanisms. Case studies indicate that incorporating energy-sharing scenarios in day-ahead decision-making can significantly reduce reliance on external energy sources and enhance the operational efficiency of RIES. The intraday correction decisions reveal that the correction volume is higher between 00:00 and 07:00 due to significant fluctuations in wind turbine output during the early morning hours.