Data driving based modeling and control method of thermal power generating unit

A thermal power unit, data-driven technology, applied in general control systems, control/regulation systems, simulators, etc., to achieve the effect of ensuring precision, accurate models, and less calculation

Inactive Publication Date: 2019-03-22
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +4
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, it does not use real data to perform calculations and uses predictive control for the entire system

Method used

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  • Data driving based modeling and control method of thermal power generating unit
  • Data driving based modeling and control method of thermal power generating unit
  • Data driving based modeling and control method of thermal power generating unit

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Embodiment Construction

[0047] In order to make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the following will be combined with the attachments of the embodiments of the present invention. Figure 1-16 , The technical solutions of the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are a part of the embodiments of the present invention, rather than all the embodiments. Based on the described embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art fall within the protection scope of the present invention.

[0048] Subspace model identification method

[0049] The subspace identification method uses the state space form to describe the system to be identified:

[0050] x k+1 =Ax k +Bu k

[0051] y k =Cx k +Du k

[0052] Where u k ∈R 5 , Y k ∈R 4 Are the input and output data vectors at time k, x k ∈R n Is the state variable at time k....

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Abstract

The invention provides a data driving based modeling and control method of a thermal power generating unit. According to the real-time running data of the unit, firstly, variables which have direct influences on a system model are selected as input and output variables of a system, and a data pretreatment method is determined; the model of the thermal power generating unit is identified by utilizing a subspace identification algorithm, so as to obtain discrete models of the thermal power generating unit, and the discrete models are combined, so as to obtain an overall model of the thermal power generating unit; and afterwards, the thermal power generating unit is controlled by utilizing a model predictive control method, so that quite good control performance is reached, and the load regulation ability of the thermal power generating unit is predicted, and the effect of quite well guiding the production scheduling of a thermal power plant is achieved.

Description

Technical field [0001] The present invention relates to the technical field of thermal power unit systems, in particular to a data-driven thermal power unit modeling and control method. Background technique [0002] At present, generator sets have developed into large-capacity, high-parameter unit sets, and the dynamic performance of various process equipment and automatic control equipment has become more and more complex. Only by mastering the dynamic characteristics of each part of them and properly composing them into the control system can we guarantee a higher level of reliability and automation. Therefore, system identification has received widespread attention. The identification model is only an approximation of the input and output characteristics of the object in the sense of a certain criterion. The degree of approximation depends on the deepening of people's understanding of the prior knowledge of the process and the understanding of the nature of the data set, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B17/02
CPCG05B17/02
Inventor 张江南李文启李炳楠朱峰张广涛王勇蔡远利王彭军梁正玉郭为民唐耀华
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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