面向人工智能的地区电网检修数据样本生成方法及系统
By analyzing the power grid topology and power flow calculations, high-quality maintenance data samples are generated, solving the problem of time-consuming manual operations in power grid maintenance, achieving rapid response and efficient maintenance data generation, and supporting artificial intelligence decision-making.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD
- Filing Date
- 2025-08-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies rely on manual operation in power grid maintenance, which is time-consuming and labor-intensive, making it difficult to quickly respond to complex and ever-changing maintenance needs and failing to meet the requirements of efficient simulation calculations for ultra-high voltage AC projects.
By analyzing the power grid topology and power flow calculation results, we identify faulty equipment and lines, formulate maintenance plans, generate maintenance data mother samples, construct an adjustable component set, modify component parameters to generate maintenance power flow sub-sample data, and optimize maintenance strategies using graph theory and optimization algorithms.
Generate high-quality data that meets the actual needs of specific power grids, enhance the diversity and reliability of power grid maintenance data, and support the rapid response and decision-making of artificial intelligence models.
Smart Images
Figure CN121639396B_ABST