At present

the deployment of smart distribution network terminals suffers from the coexistence of insufficient coverage of sensing terminals and redundant installations. Moreover

the concept of “one terminal per distribution area” has not yet been achieved and standardized configurations guidelines for smart terminals are lacking

resulting in increased operational and maintenance workloads. To address these issues

an optimization method for terminal deployment oriented to computational simulation of smart distribution networks is proposed. First

a smart terminal deployment optimization method based on the concept of “minimal precise data acquisition combined with digital system-based computational simulation” is presented. By adopting a three-pronged strategy that includes optimizing terminal deployment

strengthening interdisciplinary coordination

and deepening data utilization

a differentiated configuration strategy for the deployment of smart distribution terminals is formulated. Then

based on the proposed deployment optimization method

a computational simulation approach for smart distribution networks is established. By constructing a distribution network computational simulation framework supported by smart terminals

the intelligence level of distribution networks is enhanced

thereby facilitating the integration and development of distributed energy resources

energy storage systems

and electric vehicles. Finally

the effectiveness of the proposed method is demonstrated through simulations.