Supercritical thermal power generating unit dynamic working condition identification method based on big data
A thermal power unit and working condition identification technology, which is applied in computer control, instruments, simulators, etc., can solve problems such as low efficiency, difficulty in obtaining accurate models, and high uncertainty, and achieve the effect of increasing the probability of success and improving the ability of identification
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[0048] The technical solutions in the present invention will be further described below with reference to the accompanying drawings and embodiments.
[0049] Original data source:
[0050] The data used in this example comes from "Modern Engineering Cybernetics", author Han Pu, published in China Electric Power Press in 2017. Among them, data_step_io1.mat, data_step_io2.mat, data_step_io3.mat, data_step_io4.mat, data_step_io5.mat, and data_step_iomat respectively contain the u1, u2, u3, y1, y2, y3 used in the previous article, and the data comes from the DCS historical database records The data under the normal operation of the unit within a continuous 45-hour period, the sampling period Ts=10 seconds. For ease of observation, the above data are shown in image 3 , Figure 4 middle.
[0051] In Modern Engineering Cybernetics, particle swarm algorithm is used to identify the dynamic model of the data, and the results are shown in Table 1.
[0052] Table 1. Dynamic model of...
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