Joint Optimization Clearing of Electro-hydrogen Coupling System for New Energy Consumption

In this study, a joint optimization clearing model of electro-hydrogen coupling system considering the uncertain output of new energy in electricity spot market has been proposed. Firstly, Monte-Carlo sampling and scenario reduction technologies are used to address real-time market price uncertainty. Secondly, a Cournot equilibrium model is constructed to maximize the profit of each market participant. Then, the nonlinear complementary method is used to solve the equilibrium results. Case studies have demonstrated that by optimizing the strategy of the electro-hydrogen coupling system and virtual bidding simultaneously. Meanwhile, the price gap between the day-ahead market and the real-time market can be effectively reduced, and the price of the electricity market can be more stable and reasonable.