Power station boiler combustion optimization method based on data driven case matching

Abstract

The invention discloses a power station boiler combustion optimization method based on data driven case matching. The method comprises the steps that (1) a thermal parameter Y=[Y1, Y2, ..., Y8+M] which is relevant to boiler efficiency Z1 and nitrogen oxide Z2 and cannot be optimized and adjusted is determined; (2) a thermal parameter M=[X1, X2, ..., X1+F1+F2] which is relevant to the boiler efficiency Z1 and the nitrogen oxide Z2 and can be optimized and adjusted is determined; (3) operation cases are extracted from a historical database of a monitor information system SIS, so that a case library matrix H_XYZ is formed; (4) real-time operation data are extracted from a real-time collection DCS, and a current operating condition vector C_XYZ is judged; (5) pattern matching is carried out on the C_XYZ and the H_XYZ, and boiler combustion is optimized and adjusted or the H_XYZ is updated according to the pattern matching result; (6) the step 4 and the step 5 are executed again, and it is maintained that the operating state is optimal. The power station boiler combustion optimization method based on data driven case matching has the advantage of solving the optimal value selection problem of adjustable thermal parameters which are relevant to the boiler efficiency and nitrogen oxide emission within a unit operating full load range in a thermal power generating unit boiler combustion system.

Description

technical field [0001] The invention relates to an optimization operation technology of a boiler combustion system in a power station, in particular to a combustion optimization method based on data-driven case matching, and belongs to the technical field of automatic control. Background technique [0002] Thermal power generation is a very important part of my country's electricity production, and its power generation far exceeds the sum of the power generation of other forms of power generation, and there will be no major changes in a long period of time. The thermal power industry is not only the main creator of high-quality clean energy, but also a large primary energy consumer and pollutant emitter. However, the world is facing a serious crisis of energy depletion, and the environmental pollution caused by pulverized coal combustion has increasingly attracted widespread attention from all over the world. In the face of increasingly intensified resource and environmenta...

AI Technical Summary

Problems solved by technology

These operating data contain rich and valuable unit status information. Traditional data analysis and processing are only superficial processing and utilization of these data, such as summarizing, tabulating, and trend analysis, and can only provide display knowledge that people can understand. Failure to deeply analyze the hidden laws behind the data is actually a waste of resources

At the same time, due to the diversity, dynamics and intersectionality of these data itself, it brings difficulties to manual analysis and processing, which inevitably leads to a huge waste of data resources.

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