To solve the problem of high resource surplus rate in the application of scheduling algorithms for global power resource scheduling, a new scheduling algorithm combining user profiles and association rules is proposed to achieve reasonable allocation of global power resources. By using the dual clustering algorithm, the electricity consumption data of all users in the entire dispatch area is analyzed, and a power user profile is constructed to describe the personalized electricity consumption needs of users. Based on the user profiles, a global resource allocation model is established centered on meeting user needs. The resource scheduling subtasks are summarized within the entire domain, the support and confidence between different subtasks are calculated, and association rules are combined to achieve grouping of subtasks. The resources are divided into different domains according to the subtasks group. A secondary dispatching center is set up in each domain, and then is connected with the primary dispatching center in the whole domain to realize the centralized scheduling of resources in the whole domain. The experimental results show that after the application of the proposed scheduling algorithm, the daily global resource surplus rate of the power testing system has significantly decreased, only maintaining around 12%. This algorithm has good practical value.