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Method for acquiring coal parameter of thermal power generating unit boiler cost minimum mixed coal

A technology with the lowest cost and thermal power unit, applied in data processing application, prediction, calculation and other directions, can solve the problems of lack of accuracy, difficulty in fully considering the diversity of coal quality into the furnace, etc., to achieve the effect of ensuring rationality

Inactive Publication Date: 2014-11-19
STATE GRID CORP OF CHINA +1
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Problems solved by technology

Due to the diversity and complexity of coal sources in power plants, it is difficult to fully consider the influence of the diversity of incoming coal quality on the predicted value by this method of determining the predicted value, which lacks accuracy.

Method used

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  • Method for acquiring coal parameter of thermal power generating unit boiler cost minimum mixed coal
  • Method for acquiring coal parameter of thermal power generating unit boiler cost minimum mixed coal
  • Method for acquiring coal parameter of thermal power generating unit boiler cost minimum mixed coal

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Embodiment Construction

[0036] The invention aims at the problem that it is difficult to determine the coal quality parameter of the lowest boiler cost coal blending, and proposes a method for obtaining the coal quality parameter value of the lowest boiler cost coal blending.

[0037] The specific implementation method is as follows:

[0038] Step 1: Collect common single coal data of power plant boilers and establish a single coal information database;

[0039] Step 2: Taking the minimum blending ratio of high-quality coal, the largest blending ratio of inferior coal, and the lowest unit price of raw coal as the objective function, and using the single coal database, boiler design coal quality and historical coal data as constraints, establish a mathematical model for power coal blending;

[0040] Step 3: Based on the mathematical model of power coal blending established in step 2, use the exhaustive method to search all coal blending combinations in the single coal database, determine the coal blen...

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Abstract

The invention discloses a method for acquiring a coal parameter of thermal power generating unit boiler cost minimum mixed coal. The method adopts the objective functions that high-grade coal composition is minimum, poor coal composition is maximum and raw coal unit cost is minimum to establish a dynamic coal composition mathematical model, and predicts the model according to a general regression neural network, so that the acquired coal quality parameter value of the mixed coal is more reasonable, and rationality and economy of boiler operation are ensured. The method comprises the following steps: adopting the objective functions that high-grade coal composition is minimum, poor coal composition is maximum and raw coal unit cost is minimum, adopting the constraint conditions of single coal database, boiler design coal quality and historical coal data, establishing the dynamic coal composition mathematical model, and adopting the general regression neural network technology to establish coal quality characteristic prediction model for the mixed coal. The method is suitable for acquiring the coal parameter of thermal power generating unit boiler cost minimum mixed coal.

Description

technical field [0001] The invention relates to a method for obtaining coal quality parameters of coal blending with the lowest cost for thermal power unit boilers, and belongs to the technical field of coal blending optimization for thermal power unit operation. Background technique [0002] my country's coal resources are widely distributed and have many varieties, and the characteristics of different coal types vary greatly. The design of power plant boilers is generally based on a given design coal type, and the boiler is subject to many objective conditions when using the design coal type, such as the shortage of coal types, the large number of coal sources, and transportation costs. In the face of various types of coal with different characteristics and unstable coal sources, it is necessary to adopt scientific and reasonable blending methods and advanced coal quality prediction technology to achieve the goal of reducing the cost of coal blending in power plants and in...

Claims

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 桂良明陈林国夏永俊
Owner STATE GRID CORP OF CHINA
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