With the expanding application of smart technologies in novel power systems, one challenge to improve system control accuracy is to integrate the dispatching decision process in the power market clearing mechanism to reflect the impact and dependence of market outcomes on emerging technologies. Therefore, the paper proposes an energy dispatching assistant decision-making method integrated with a market operation model for novel power systems. The approach adopts a two-tier optimization with a lower tier of sub-grid-independent operating networks and sends decisions to an upper tier operator that makes market transactions based on unit mix and a second-order cone AC tidal model. In addition, a single leader multi-follower game is developed in which each sub-grid derives its own dispatching decisions related to renewables, storage devices and demand response, which are interconnected through the main grid using mixed integer linear programming. Given the mixed integer nature of the upper and lower level decisions, a new reconfiguration decomposition method is developed to solve this two-layer optimization model. Through simulation experiments on three test systems, it is demonstrated that the proposed method can accurately represent the physical characteristics of the novel power system and obtain reasonable results with significant computational efficiency, verifying its effectiveness.