一种电网时空动态特性智能认知算法库引擎的构建方法
By constructing an intelligent cognitive algorithm library engine for the spatiotemporal dynamic characteristics of the power grid, the problem of insufficient computational performance of the intelligent cognitive algorithm for the spatiotemporal dynamic characteristics of the power grid is solved, realizing efficient real-time online analysis of the power grid and second-level intelligent situation assessment and decision-making, and reducing R&D costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD
- Filing Date
- 2023-02-08
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the computational performance of intelligent cognitive algorithms for the spatiotemporal dynamic characteristics of power grids is difficult to guarantee. There is a lack of optimization for the characteristics of intelligent cognitive algorithms for power grids, resulting in high R&D costs and insufficient timeliness. Static evaluation and decision-making, transient evaluation and decision-making algorithms are difficult to run efficiently on general computing frameworks.
A smart cognitive algorithm library engine for the spatiotemporal dynamic characteristics of the power grid is constructed, including a storage layer, a computing layer, and an algorithm layer. It adopts distributed storage, full data interface, sparse matrix storage, streaming computing, and configurable component modules to achieve unified data management and efficient algorithm operation, and supports second-level intelligent situation assessment and decision-making.
It improves the timeliness of real-time online power grid analysis, reduces algorithm development costs, and achieves efficient unified management and second-level response of power grid static assessment and decision-making algorithms and transient assessment and decision-making algorithms.
Smart Images
Figure CN116737689B_ABST