Fine management platform of power dispatch standard ledger based on operational accident abnormal data

With the increasing complexity of the power system operational conditions, the management of standard ledgers becomes crucial to ensuring the safe and stable operation of the power grid. Firstly, the classification of accident abnormal data during power dispatch operations is analyzed. A data mining algorithm based on grey relational data classification and support vector machines is proposed, leading to the construction of a fine management platform for power dispatch standard ledgers based on operational accident abnormal data. The system architecture, key interfaces, abnormal data mining process, and basic functionalities of the platform are outlined.Finally, the performance of the platform is analyzed through case studies in areas such as automated abnormal classification and archiving, fine ledger management, and comprehensive evaluation analysis, demonstrating the effectiveness of the platform through comparative discussions.