Abstract: In response to the current issue of rough management and operation methods for power grid dispatching and control data, this paper takes the dispatching and control data object as the core, integrates electrical physical characteristics, time polymorphism characteristics, multi-source information characteristics, and business implications of data asset planning methods, and proposes a multi domain value evaluation technology research that considers data ontology attributes and power grid operation mechanisms. Firstly, conduct a comprehensive and in-depth analysis of the deep-seated characteristics, laws, and mechanisms of power grid dispatching and control data, and establish an element system for evaluating the asset value of power grid dispatching and control data; Secondly, use analytic hierarchy process and expert scoring to construct a valuation model for dispatching and control data assets; Finally, the feasibility and rationality of the data asset value evaluation method are verified through typical power grid dispatching and control data application scenarios. The validation results indicate that the proposed dispatching and control data asset evaluation method can quantify the value evaluation of dispatching and control data assets, improve the data management capability and scheduling lean management level of dispatching and control big data platforms.