Research on Line Loss Anomaly Analysis Method Based onScenario-Based Logic Tree Model

To address the issues of disorganized scenario-based analysis logic and inadequate monitoring and evaluation of line loss rates and anomaly rates in traditional electric energy data platforms, this study conducts research on enhancing scenario-based logical chain analysis capabilities under the principle of "competing for every kilowatt-hour and reducing every unit of loss". The proposed system primarily consists of three functional modules: autonomous scenario-based logical chain analysis, comprehensive penetration monitoring, and multi-dimensional problem analysis. It enables flexible combination, on-demand customization, and experience accumulation of basic anomaly analysis units, dynamically forming scenario-based analysis themes. Furthermore, it improves the efficiency of line loss anomaly investigation and management through refined line loss calculation, task assignment to individuals, and closed-loop tracking of governance within deadlines. This provides effective support for loss reduction and efficiency enhancement in power grids in the new era.