Intelligent Decision-Making, Dispatch, and Emergency Response for Power Dispatch

Project Background

Multi-source Data Fusion: Automatically correlates multi-source data such as SCADA, fault recording, and weather alerts through a power grid semantic knowledge graph, eliminating information silos.

Solution

Intelligent Recovery Plan Generation: The Agent automatically enumerates viable recovery paths, generates 3-5 candidate plans based on safety constraints and economic indicators, and ranks them with recommendations.
Controlled Dispatch Command Execution: Recommended plans are compiled into standard operating sequences, where critical operations require manual review and routine operations can be automatically issued by the Agent.
Intelligent Emergency Resource Allocation: Real-time assessment of repair teams, spare parts inventory, and emergency generator vehicle locations, automatically generating allocation plans and optimizing routes.
Post-Event Self-Evolution Learning: Every response process is fully recorded, and evaluation feedback automatically updates judgment logic and recovery strategies.

Customer Testimonial

What impressed us most is the Agent's 'self-evolution' capability. During the first typhoon, the system's recovery plans were still conservative; by the second typhoon, it had learned to prioritize load transfer for critical customers.