Method for intelligently calculating, predicting and controlling steam temperature of power station boiler

A steam temperature and predictive control technology, which is applied in the control of superheat temperature, steam superheat, steam generation, etc., can solve the problems of inability to reflect, deviate from the characteristics of the steam temperature system, and the control effect cannot be satisfied, so as to improve the dynamic adjustment performance and stability. Sex, programming to achieve simple effects

Inactive Publication Date: 2017-05-31
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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AI Technical Summary

Problems solved by technology

However, since the steam temperature system is affected by many factors at any time, the results of online identification often cannot reflect or even completely deviate from the real characteristics of the steam temperature

Method used

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  • Method for intelligently calculating, predicting and controlling steam temperature of power station boiler
  • Method for intelligently calculating, predicting and controlling steam temperature of power station boiler
  • Method for intelligently calculating, predicting and controlling steam temperature of power station boiler

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Embodiment Construction

[0066] The following will combine figure 1 and figure 2 And the specific examples further describe the present invention in detail.

[0067] Such as Figure 1-Figure 2 As shown, this embodiment relates to a predictive control method for the steam temperature of a power plant boiler based on intelligent calculation for predictive control law learning, and the specific steps are as follows:

[0068] Step 1. Determine the sampling interval T for predictive control s ;

[0069] Step 2. Identify the local model G described by the input-output differential equation of the steam temperature system when the unit operates under M typical load conditions m ;

[0070] Step 3. Apply model predictive control to all local models G m Carry out the tracking control simulation of the square wave signal; Step 4. Put all the local models G m The control simulation data is used to train the intelligent computing model, thus forming an intelligent predictive controller IPC;

[0071] Step ...

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Abstract

The invention discloses a method for intelligently calculating, predicting and controlling steam temperature of a power station boiler. The method comprises the following steps: step one, determining a sampling time interval Ts of prediction and control; step two, identifying local models Gm described by an input-output difference equation form of a steam temperature system of a unit operating under M typical load conditions; step three, tacking, simulating tracking control of square-wave signals of all the local models Gm by using model prediction control; step four, training an intelligent calculation model by using control simulation data of all the local models GM to form an intelligent prediction controller IPC; step five, identifying a nonlinear inverse model of a regulation valve; and step six, taking the trained intelligent prediction controller IPC as a real-time controller to obtain a temperature-reducing water valve opening degree actual command u(t) which can be implemented at current sampling time. The method has the advantage that the problem of low control performance of steam temperature caused by the change of steam temperature object with long time delay, great inertia and time-variant characteristic along with the loads of the unit can be avoided.

Description

technical field [0001] The invention relates to an intelligent calculation and predictive control method for boiler steam temperature in a power station, which belongs to the technical field of boiler automatic control and is suitable for automatic control of superheated steam temperature and reheated steam temperature of a thermal power unit. Background technique [0002] Controlling the steam temperature of power plant boilers within the allowable set value range, including superheated steam temperature and reheated steam temperature, is an indispensable link to improve the economic benefits of generating units and ensure the safe operation of generating units, and is increasingly popular among power generation manufacturers and scientific researchers of great importance. [0003] Nowadays, almost all large-scale power plant units have to participate in power grid peak regulation, and the response speed to the automatic generation control (AGC) command of the central adjus...

Claims

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Application Information

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IPC IPC(8): F22G5/20
CPCF22G5/20
Inventor 王东风李玲张妍
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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