A method and system for dispatching reserve resources of a power system
By constructing an economic dispatch model and improving the spectral clustering algorithm, and combining reserve tension scores and topological connectivity, regions with scarce and surplus reserve resources are identified. This solves the problems of accuracy and economy in reserve resource allocation in existing technologies, and realizes the safe operation and optimized resource dispatch of high-proportion renewable energy power grids.
Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA SOUTHERN POWER GRID COMPANY
- Filing Date
- 2026-03-12
- Publication Date
- 2026-07-10
AI Technical Summary
In power systems with a high proportion of renewable energy, the cross-regional allocation of reserve resources relies on dispatcher experience or fixed electrical zones, resulting in poor accuracy, economic efficiency, and timeliness that cannot meet the safe operation requirements of power grids with a high proportion of renewable energy. It is also impossible to accurately locate areas with tight and surplus reserves, and there is a lack of dynamic updating mechanisms.
By acquiring real-time and forecast data of the power system, an economic dispatch model is constructed, a reserve capacity allocation plan is calculated, and an improved spectral clustering algorithm is used to dynamically partition the system based on reserve tension scores and topological connectivity. This identifies areas with scarce and surplus reserve resources, and a capacity dispatch strategy is generated based on a cross-regional reserve resource dispatch optimization model to achieve precise allocation of reserve resources.
It enables precise location and dynamic allocation of backup resources, improves the targeting accuracy and economy of cross-regional support, and ensures the safe operation of the power system and the efficiency of resource utilization.
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