To address the issue of new energy generation being at a disadvantage in intraday power market transactions due to its unstable nature

this paper proposes a real-time dispatch optimization method for regional power systems based on multi-energy complementarity characteristics. This method aims to provide a basis for the proportion of installed capacities of various energy sources within the region and establish a multi-energy dispatch optimization mechanism. Based on this optimization mechanism

a mathematical model of multi-energy complementarity is developed with the objectives of achieving a high proportion of new energy generation and low coal consumption thermal power generation. While ensuring economic efficiency

the optimal proportion of new energy storage configuration under high new energy consumption conditions is determined. Through a hierarchical optimization operation strategy

the quantum particle swarm optimization algorithm is employed to solve the multiobjective optimization function. Taking a certain regional power system as an example

the proposed method utilizes the characteristics of multi-energy complementarity to achieve the goals of high new energy consumption and optimal thermal power generation with the minimum new energy storage configuration.