Coal blending combustion fuzzy comprehensive evaluation method based on improved entropy weight method

Abstract

The invention relates to a coal blending combustion fuzzy comprehensive evaluation method based on an improved entropy weight method. The method comprises the following steps of 1) determining an evaluation index set according to factors affecting the selection of coal blending combustion coal types, 2) determining a comment set according to the actual coal blending combustion condition requirement of the power plant, 3) sequencing the importance of each evaluation index and determining the weight of each evaluation index in the evaluation index set by adopting an improved entropy weight method, 4) constructing a membership function of each evaluation index with respect to the comment set, 5) obtaining an evaluation index parameter corresponding to each to-be-evaluated coal blending combustion coal quality scheme, and combining according to a membership function value of each evaluation index to obtain a fuzzy comprehensive judgment matrix, and 6) performing fuzzy transformation according to the fuzzy comprehensive judgment matrix to obtain a coal blending combustion fuzzy comprehensive evaluation result, and determining an optimal coal blending combustion coal quality scheme according to the principle of selecting the maximum membership degree. Compared with the prior art, the method has the advantages of quantitative optimization of the coal blending scheme, high reliabilityand credibility and the like.

Description

technical field [0001] The invention relates to the field of coal blending and burning in power plants, in particular to a fuzzy comprehensive evaluation method for coal blending and burning based on an improved entropy weight method. Background technique [0002] Coal is the main energy source in our country. With the continuous development of the economy, the total consumption of coal accounts for more than 50% of the total energy consumption. Therefore, the form of power generation in my country will still be dominated by coal-fired thermal power units for a long time. Due to the current shortage of domestic coal resources and the increasingly tight supply of coal, the price of coal has risen and the cost of coal transportation has increased. Mixing is carried out so that the comprehensive performance of the mixed coal meets the requirements. However, the determination of the coal blending ratio is a multi-factor comprehensive evaluation process, and many factors are con...

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Problems solved by technology

However, the determination of the coal blending ratio is a multi-factor comprehensive evaluation process, and many factors are considered. If the blending coal ratio is not appropriate, it will cause huge adverse effects on the combustion equipment, such as: insufficient boiler output, poor combustion Problems such as stability, difficulty in ignition, reduced boiler efficiency, increased costs, and serious pollutant emissions

[0003] At present, there are many coal blending optimization algorithms used by most power plants, and each algorithm has various differences in coal blending applications. For example, the BP neural network algorithm is the most widely used, but it will be affected by the combustion characteristics database of coal types; genetic algorithm It has good global search performance, but it will be affected by the large difference of coal types, resulting in complex constraint conditions and inaccurate calculation results; fuzzy comprehensive evaluation can effectively establish the fuzzy relationship between different coal types, but the evaluation index weight needs to be Artificial setting, high subjectivity, reduces the credibility of the results; simply applying the entropy weight method to determine the weight of the evaluation index will appear too objective, resulting in a lack of practical significance, and there is still a lot of research on coal blending and blending. research significance and value

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