Abstract: The volatility of wind power or photovoltaic power generation,and the supporting role of hydropower or thermal power energy on the auxiliary services of the power systemare are considered detail in this paper.Aiming to satisfy the real-time electricity trading balance of the electricity market and the optimal benefits of each entity and based on the operating mechanism of multi-type energy alliances,this paper simulates the multi-scale combination of various entities and constructs a dynamic analysis model of Shapley value related to the proportion of auxiliary service income and output.By analyzing the changes of the optimal power generation ratio and revenue of each entity during load peak and valley operation,it provides a decision basis for each entity to participate in the market bidding configuration of optimal power generation and cost control.At the same time,this study demonstrates the coupling relationship between the peak and valley power balance mode that meets real-time load demand and the dynamic allocation of auxiliary services.This model reflects the change trend of the equilibrium portfolio of the auxiliary service market,and can balance the volatility of renewable energy as a whole and reduce the negative impact of the increase in real-time market transactions on the income of each entity.This research lays the foundation for the dynamic combination and optimization of decision-making among various entities,as well as for mining the value of resources within the alliance.