A Fuzzy Comprehensive Evaluation Method for Coal Blending and Combustion Based on Improved Entropy Weight Method

Abstract

The invention relates to a fuzzy comprehensive evaluation method for coal blending and blending combustion based on the improved entropy weight method. 3) sort the importance of each evaluation index and use the improved entropy weight method to determine the weight of each evaluation index in the evaluation index set; 4) construct the membership function of each evaluation index with respect to the comment set; 5 ) Obtain the evaluation index parameters corresponding to each coal blending coal quality scheme to be evaluated, and combine the membership function values ​​of each evaluation index to obtain a fuzzy comprehensive judgment matrix; According to the fuzzy comprehensive evaluation results of coal blending and burning, the optimal coal blending and blending coal quality scheme is determined according to the principle of selecting the maximum membership degree. Compared with the prior art, the present invention has the advantages of quantitative optimization of coal blending scheme, high reliability and credibility, and the like.

Description

Technical field [0001] The present invention relates to the field of coal coal coal coal, in particular, involving a coal-blending composite evaluation method based on improved entropy rights method. Background technique [0002] Coal is the main source of China. With the continuous development of the economy, the total amount of coal consumption accounts for more than 50% of the total energy consumption, so China's power generation form will still be mainly based on the coal-fired thermochemical unit for a long time. Due to the current domestic coal resources shortage, the coal supply is increasingly tightly caused by rising coal prices, and the cost of coal transportation increases. In order to save comprehensive costs, most power plants attempt to pass different or several single coals of coal quality through mechanical processing, according to certain proportions Mixing makes the composite performance of the coal to meet the requirements. However, the determination of mixed c...

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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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