Research on Power System Automation Management System Based on Digital Twins
The complex and changeable operation mode of power system increases the difficulty of its automation management.Therefore,a set of power system automation management system based on digital twin is constructed,and its system architecture contains five layers:perception layer,data layer,computing layer,function layer,and application layer,which combines the digital twin model of the power system with the actual physical world to achieve real-time automated monitoring,analysis,and control.In order to make the power system automation management system more reliable and effective,two kinds of power system abnormal fault handling processes based on knowledge base and based on data-driven are proposed,and their advantages and disadvantages are analysed.The results show that both have their advantages and disadvantages,and the knowledge base-based fault handling process,which is suitable for dealing with known and historically frequent fault types,is more efficient in execution and relies heavily on expert experience and knowledge.The data-driven fault handling process based on the unknown fault diagnosis capability is very superior,but requires the support of a large amount of sample data,hardware investment and algorithm optimisation is more complicated.
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