Big data power distribution network scheduling method and system
The distribution network information is obtained through big data technology, the twin target is determined and the digital twin is established. Based on these digital twins and distribution network information, the distribution network scheduling model is established, which solves the problem that traditional power management methods are difficult to meet the needs of the high permeability renewable energy access operation of modern distribution networks, and achieves the stable, safe and efficient operation of the distribution network.
Patent Information
- Application Number
- CN202411702195.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2024-05-13
- Filing Date
- 2024-11-26
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2044-11-26
AI Technical Summary
Traditional power management methods are difficult to meet the needs of modern distribution networks for access, operation and efficient utilization of high-permeability renewable energy generation under the background of low-carbon economy. Especially when facing the randomness and volatility of distributed renewable energy and flexible loads, it is difficult to ensure the stable, safe and efficient operation of the power grid.
Through big data technology, we can obtain distribution network information, determine twin targets and establish digital twins, and build distribution network scheduling models based on these digital twins and distribution network information, monitor and dispatch distribution networks in real time, optimize the original scheduling plan, and ensure the stable and safe operation of the power system.
Real-time scheduling and optimization of the distribution network is achieved, scheduling efficiency is improved, the stable, safe and efficient operation of the power system is ensured, and the problem of excessive power load in some areas is avoided.