Method, device and equipment for determining coal furnace mixed coal parameters
By constructing a coal-power coupling model and using graph neural networks to optimize coal blending parameters, the problem of inaccurate determination of coal blending parameters in existing technologies has been solved, enabling rapid and accurate coal blending ratio decision-making and improving the power plant's dispatching capability and grid adaptability.
CN122263583APending Publication Date: 2026-06-23HUADIAN TRADING INTERNATIONAL (BEIJING) CO LTD
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Patent Information
- Application Number
- CN202610202089.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-11
- Publication Date
- 2026-06-23
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Figure CN122263583A_ABST
Abstract
The application discloses a coal furnace mixed coal parameter determination method, device and equipment, wherein the method comprises the following steps: obtaining historical power plant operation data and historical coal type data; based on the historical power plant operation data and the historical coal type data, a coal power coupling model for representing the mapping relationship between the coal quality parameters and the coal furnace performance indexes is trained; current power grid operation data and current coal furnace operation data are obtained, and based on the current power grid operation data and the current coal furnace operation data, a constraint condition is constructed; a target function is constructed based on the coal furnace performance indexes, a mixed coal parameter determination model is constructed based on the target function, the coal power coupling model and the constraint condition, the mixed coal parameter determination model is solved, and the target mixed coal parameter corresponding to the coal furnace on the power plant side is determined; and the target mixed coal parameter is used for representing the mixed coal proportion of different coal types. Through the above method, the mixed coal parameter can be quickly and accurately determined, and the power grid peak regulation demand can be adapted.
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