Method for optimizing running parameters of thermal power unit and based on fuzzy set association rule

Abstract

The invention relates to a method for optimizing running parameters of a thermal power unit based on a fuzzy set association rule. The method comprises the following steps of: (1) selecting data; (2) preprocessing the data and dividing a working condition; (3) constructing a fuzzy set; (4) extracting the fuzzy set association rule; and (5) performing regression analysis. According to the method provided by the invention, the optimal parameter and working condition of the thermal power unit which can be achieved under the present running working condition are considered; the main controllable parameters and the historic data influencing the running optimization of the thermal power unit are analyzed; the relevant association rule is excavated by utilizing an excavating technology for automatically constructing the fuzzy set data; a target value for the running parameter optimization when the power supply coal consumption of the thermal power unit is lower is confirmed; and the regression analysis is performed, thereby obtaining a running optimization curve of each parameter under a confirmed working condition. The method provided by the invention has high practical value and wide application prospect in the technical field of energy-saving optimization control during a thermal process of a thermal power plant.

Description

(1) Technical field [0001] The invention relates to a method for optimizing the operating parameters of thermal power units based on fuzzy set association rules, in particular to using the automatic construction of fuzzy set data mining technology to determine the quantitative association rules between important controllable operating parameters and power supply coal consumption rates, so as to obtain specific working conditions The optimal target value of the operating parameters under the conditions, it provides the operator with the best operating parameter setting value of the unit under different external conditions (such as load, coal quality, external ambient temperature), and the optimization result is to make the power supply coal consumption rate of the unit Lower, to achieve higher economic benefits. The invention belongs to the technical field of energy-saving optimal control of thermal process in thermal power plants. (2) Background technology [0002] An impor...

AI Technical Summary

Problems solved by technology

However, the disadvantage is that the fuzzy set on the quantitative attribute domain of the algorithm must be defined by users or industry experts. When the amount of data is large, it is difficult to determine a suitable fuzzy set in the absence of prior knowledge, thus affecting the quality of mining results.

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