Coal blending optimization method for load distribution and switching mill vector coupling

By establishing a coupled coal blending optimization model based on segmented planned load and switching mill vectors, and combining inversion and feedforward compensation with stochastic configuration networks, the problem of suboptimal coal blending efficiency and cost in thermal power plants was solved, and the optimization of safe, environmentally friendly and economical coal blending schemes was achieved.

CN120977416BActive Publication Date: 2026-06-02HUANENG POWER INT INC DALIAN POWER PLANT +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
HUANENG POWER INT INC DALIAN POWER PLANT
Filing Date
2025-10-20
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

my country's coal blending technology for thermal power plants remains at a non-intelligent stage, relying on "human experience + Excel assistance." The lack of advanced methods and professional software results in suboptimal coal blending efficiency and costs, making it difficult to meet the requirements of safety, environmental protection, and load dispatching.

Method used

A coupled coal blending optimization model for segmented planned load and switching mill vectors was established. The model was solved using a two-stage simplex method based on logical business coupling relationships, calorific value, environmental protection and safety constraints. In addition, feedforward compensation of sulfur constraint boundaries was performed by combining inversion methods and improved stochastic configuration networks. A coal blending optimization software system was developed.

Benefits of technology

It achieved optimal coal blending cost and speed, ensured compliance with environmental protection standards, reduced coal costs for power plants, improved the professional skills of operators, and significantly enhanced economic benefits.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention provides a coal blending optimization method for segmented planned load and switching mill vector coupling, relating to the field of power plant energy conservation and environmental protection technology. The method first determines the objective function of the coupled blending optimization model between segmented planned load and switching mill vector based on optimal coal blending cost, and introduces constraints. Then, the established coupled blending optimization model is transformed into a standard form and a canonical form. For the canonical form, a two-stage simplex method is used to obtain the coal blending scheme. Finally, an inversion method is used to calculate the upper bound of the sulfur constraint, and an improved stochastic configuration network is established based on a historical blending case database to perform feedforward compensation on the sulfur constraint boundary. The historical blending case database is updated based on each real-time coal blending data. This method establishes the coupling relationship between segmented planned load and the blending optimization model through the switching mill vector of the coal mill unit, realizing digital blending primarily based on a computer optimization model.
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