Abstract: In the real-time electricity trading market,considering the impact of renewable energy generation volatility,system voltage stability and real-time load demand,based on multi-type energy consortium model containing renewable energy,photovoltaic and wind energy connected to different systems are simulated,and different load demand curves are selected to design operation scenarios;based on the equilibrium income of each main body,income balance evaluation,optimal distribution of power generation and the total alliance revenue,a multi-space-time scale auxiliary service optimization operation model is constructed. Research shows that:（1）The alliance model reduces the impact of renewable energy volatility on power stability,promotes the overall operating income and confirms the theoretical application value of the model;（2）multi-space-time scale auxiliary service operation strategy meets real-time load demand.And in a real-time market environment. And it can lay the foundation for the optimization of the multi-period output of each subject and the formulation of the bidding price;（3）It reveals the correlation law between the changes in the total revenue of the alliance based on dynamic auxiliary services,the changes in the equilibrium revenue of each entity and the real-time demand of load,which provides the empirical data support for the theory of real-time electricity market transactions.