CN102183890B - Method for optimizing and setting regulator parameters of coordinated control system - Google Patents

Abstract

The invention relates to a method for optimizing and setting regulator parameters of a coordinated control system. The method is characterized by being used for optimizing and setting proportion integration differentiation (PID) regulator parameters from multiple targets of a boiler follow coordinated control system of a generating unit and comprising the following steps of: acquiring a controlled object model of the boiler follow coordinated control system of the generating unit through model identification, namely increasing the quantity of boiler fuel under the condition of unchanged opening of a turbine control valve by steps, and recording the main stream pressure and an output power valve of the generating unit per 5 seconds until the main stream pressure and the output power valve are stable; increasing the opening of the turbine control valve under the condition of unchanged quantity of the boiler fuel by steps, and recording the main stream pressure and the output power valve of the generating unit per 5 seconds. By the method, a closed-loop control system has enough stability, and accumulated heat of a boiler can be fully utilized on the premise of ensuring safe running of the unit so that the unit has a power response speed as fast as possible.

Description

Coordinated control system regulator parameter optimal tunning method

Technical field

The invention belongs to thermal technology's automatic control technology field, what relate to is a kind of PID (PID) regulator parameter multiple-objection optimization setting method of monoblock boiler follow coordinated control system.

Background technology

The basic task that monoblock is coordinated control is under the prerequisite that guarantees unit operation safety, to make unit have fast as far as possible power response.The dynamic perfromance of boiler is slower because the dynamic perfromance of steam turbine is very fast; Thereby monoblock coordinates to control the boiler follow coordinated control system that generally adopts by PID (PID) regulator formation; Promptly through steam turbine pitch power controlling; Through boiler combustion rate control main vapour pressure, make unit have power response characteristic faster.

The characteristics of monoblock boiler follow coordinated control system are to accelerate the power response speed of unit through the accumulation of heat that makes full use of boiler.During load up, open big steam turbine pitch aperture earlier, main vapour pressure descends, and boiler discharges accumulation of heat with the response load up; During load down, turn down steam turbine pitch aperture earlier, main vapour pressure rises, and boiler increases accumulation of heat with the response load down.Boiler side is finally kept main vapour pressure at set-point according to the variation adjustment combustion rate of main vapour pressure.In whole lifting load process, the variation of main vapour pressure has reflected the variation of boiler heat storage, and main vapour pressure changes more greatly, and expression utilizes boiler heat storage abundant more, and the power response speed of unit is just fast more.But, generally require the deviation of main vapour pressure and setting value must be controlled in given the permitted maximum range in order to guarantee the security of unit operation.

For monoblock boiler follow coordinated control system, best PID (PID) regulator parameter should satisfy following two conditions: (1) closed-loop control system has enough stability; (2) under the prerequisite that guarantees unit operation safety, can make full use of the accumulation of heat of boiler, make unit have fast as far as possible power response speed.Therefore when the PID of adjusting (PID) regulator parameter, performance for stability index be should consider, the characteristics and the requirement of the monoblock boiler follow coordinated control system of condition (2) also will be considered like the control system self of condition (1).The present invention just is being based on this starting point, proposes a kind of PID (PID) regulator parameter multiple-objection optimization setting method of monoblock boiler follow coordinated control system.Also do not see at present the report that similar approach is arranged.

Summary of the invention

Technical matters: the purpose of this invention is to provide a kind of coordinated control system regulator parameter optimal tunning method; Make closed-loop control system have enough stability; Simultaneously under the prerequisite that guarantees unit operation safety; Can make full use of the accumulation of heat of boiler, make unit have fast as far as possible power response speed.

Technical scheme: for solving the problems of the technologies described above; Technical scheme provided by the invention is: a kind of coordinated control system regulator parameter optimal tunning method; This method is the proportional integral derivative controller parameter multiple-objection optimization setting method that is used for monoblock boiler follow coordinated control system

This method comprises the steps:

A1. obtain monoblock boiler follow coordinated control system plant model through Model Distinguish; Promptly under the constant condition of steam turbine pitch aperture; Step increases the boiler fuel amount; Note monoblock main vapour pressure and output power value per 5 seconds, stablize constant up to main vapour pressure and output power; Under the constant condition of boiler fuel amount, step increases steam turbine pitch aperture, notes monoblock main vapour pressure and output power value per 5 seconds, stablizes constant up to main vapour pressure and output power; According to the above-mentioned dynamic characteristic of the course test figure that writes down; Employing obtains the transfer function model of fuel quantity-main vapour pressure process, fuel quantity-output power process, steam turbine pitch aperture-main vapour pressure process and steam turbine pitch aperture-output power process respectively based on the process model discrimination method of step response;

The transfer function model of four processes that A2. obtain with steps A 1; Constitute basic monoblock boiler follow coordinated control system with separate first proportional integral derivative controller and second proportional integral derivative controller; The simulation control subsystem of using as parameter optimization; Promptly first proportional integral derivative controller is input as the poor of set value of the power and measured value; Be output as steam turbine pitch aperture, second proportional integral derivative controller be input as the poor of main vapour pressure setting value and measured value, be output as fuel quantity;

A3. confirm to be used for the optimization aim that the proportional integral derivative controller parameter optimization is adjusted: at set value of the power N _E0When doing the step variation, the rise time t of system power response _RNThe shortest, the attenuation rate ψ of system power response _NMaximum, the main vapour pressure response attenuation rate ψ of system _PThe most approaching given minimum main vapour pressure response attenuation rate ψ _Pmin

A4. with the scale-up factor K of first proportional integral derivative controller and second proportional integral derivative controller _P, integration time constant T _i, derivative time constant T _DAs setting parameter,, adopt non-domination quicksort genetic algorithm constantly to search for scale-up factor K through the emulation of monoblock boiler follow coordinated control system _P, integration time constant T _i, derivative time constant T _DParameter value as proportional integral derivative controller; Make monoblock boiler follow coordinated control system output response can satisfy the optimization aim that steps A 3 is confirmed, the parameter value of searching for the many groups proportional integral derivative controller that meets optimization aim of acquisition through non-domination quicksort genetic algorithm constitutes parameter tuning and optimizes disaggregation M;

A5. according to the performance requirement of monoblock boiler follow coordinated control system, in optimizing disaggregation M, carry out the preference decision-making as follows:

A51. rated output setting value N _E0When doing the step variation, each separates pairing monoblock boiler follow coordinated control system power response attenuation rate ψ among the optimization disaggregation M _NWith main vapour pressure response attenuation rate ψ _P

A52. from optimize disaggregation M, select the power response attenuation rate greater than ψ _Nmin, main vapour pressure response attenuation rate is greater than ψ _PminBe deconstructed into new optimization disaggregation M1, wherein ψ _NminAnd ψ _PminBe respectively the minimum power response attenuation rate and the minimum main vapour pressure response attenuation rate that set;

A53. rated output setting value N _E0Rise or during load down with the rate of change of per minute R% rated load, optimize that each separates the absolute value e of the main vapour pressure maximum dynamic error of pairing monoblock boiler follow coordinated control system among the disaggregation M1 _Pmax, wherein R is the unit liter of electrical network requirement or the load change rate of load down;

A54. from optimize disaggregation M1, select main vapour pressure maximum dynamic error absolute value e _PmaxLess than also approaching most e _P0One group of optimum solution of separating, wherein e as the proportional integral derivative controller parameter _P0Absolute value for the main vapour pressure maximum dynamic error that unit allowed;

The optimum proportional integral derivative controller parameter of that group that the preference decision process of A5 is obtained; As the parameter of final proportional integral derivative controller, accomplish monoblock boiler follow coordinated control system proportional integral derivative controller Multi-object optimization and adjust.

Beneficial effect: the present invention adopts the multiple-objection optimization strategy that PID (PID) regulator parameter of monoblock boiler follow coordinated control system is optimized and adjusts; Can guarantee that control system has required stability; And under the prerequisite that guarantees unit operation safety, control system has fast as far as possible power response speed.The present invention is applicable to the monoblock of various types of employing boiler follow coordinated control systems, can obtain optimum PID (PID) regulator parameter easily.

Description of drawings:

Fig. 1 is a monoblock boiler follow coordinated control system structure;

The load variations response curve of optimization system when Fig. 2 a is a set value of the power by the velocity variations of 2%/min rated load;

The main vapour pressure of optimization system changed response curve when Fig. 2 b was a set value of the power by the velocity variations of 2%/min rated load;

The steam turbine pitch aperture of optimization system changed response curve when Fig. 2 c was a set value of the power by the velocity variations of 2%/min rated load;

The furnace coal weight of optimization system changed response curve when Fig. 2 d was a set value of the power by the velocity variations of 2%/min rated load.

Embodiment

Below in conjunction with accompanying drawing the present invention is further specified.

Unit coordinatedcontrol system is one 2 * 2 a multi-variable system, and PID (PID) regulator parameter optimal tunning is a multiple goal optimizing problem in essence.At first to obtain monoblock and coordinate control controlled device mathematical model,, confirm that several are used for the optimization aim of PID (PID) regulator parameter optimal tunning again according to the characteristics of boiler follow coordinated control system.Through Control System Imitation, adopt multi-objective genetic algorithm Comparative Examples integral differential (PID) regulator parameter to carry out the multiple goal optimizing then, obtain one group and optimize disaggregation.Carry out the preference decision-making at last, concentrate at optimization solution and choose PID (PID) regulator parameter of one group of parameter as optimum.

A kind of coordinated control system regulator parameter optimal tunning method provided by the invention, this method is the proportional integral derivative controller parameter multiple-objection optimization setting method that is used for monoblock boiler follow coordinated control system, this method comprises the steps:

A6. obtain monoblock boiler follow coordinated control system plant model through Model Distinguish; Promptly under the constant condition of steam turbine pitch aperture; Step increases the boiler fuel amount; Note monoblock main vapour pressure and output power value per 5 seconds, stablize constant up to main vapour pressure and output power; Under the constant condition of boiler fuel amount, step increases steam turbine pitch aperture, notes monoblock main vapour pressure and output power value per 5 seconds, stablizes constant up to main vapour pressure and output power; According to the above-mentioned dynamic characteristic of the course test figure that writes down; Employing obtains the transfer function model of fuel quantity-main vapour pressure process, fuel quantity-output power process, steam turbine pitch aperture-main vapour pressure process and steam turbine pitch aperture-output power process respectively based on the process model discrimination method of step response;

The transfer function model of four processes that A7. obtain with steps A 6; Constitute basic monoblock boiler follow coordinated control system with separate first proportional integral derivative controller and second proportional integral derivative controller; The simulation control subsystem of using as parameter optimization; Promptly first proportional integral derivative controller is input as the poor of set value of the power and measured value; Be output as steam turbine pitch aperture, second proportional integral derivative controller be input as the poor of main vapour pressure setting value and measured value, be output as fuel quantity;

A8. confirm to be used for the optimization aim that the proportional integral derivative controller parameter optimization is adjusted: at set value of the power N _E0When doing the step variation, the rise time t of system power response _RNThe shortest, the attenuation rate ψ of system power response _NMaximum, the main vapour pressure response attenuation rate ψ of system _PThe most approaching given minimum main vapour pressure response attenuation rate ψ _Pmin

A9. with the scale-up factor K of first proportional integral derivative controller and second proportional integral derivative controller _P, integration time constant T _i, derivative time constant T _DAs setting parameter,, adopt non-domination quicksort genetic algorithm constantly to search for scale-up factor K through the emulation of monoblock boiler follow coordinated control system _P, integration time constant T _i, derivative time constant T _DParameter value as proportional integral derivative controller; Make monoblock boiler follow coordinated control system output response can satisfy the optimization aim that steps A 3 is confirmed, the parameter value of searching for the many groups proportional integral derivative controller that meets optimization aim of acquisition through non-domination quicksort genetic algorithm constitutes parameter tuning and optimizes disaggregation M;

A10. according to the performance requirement of monoblock boiler follow coordinated control system, in optimizing disaggregation M, carry out the preference decision-making as follows:

A51. rated output setting value N _E0When doing the step variation, each separates pairing monoblock boiler follow coordinated control system power response attenuation rate ψ among the optimization disaggregation M _NWith main vapour pressure response attenuation rate ψ _P

A52. from optimize disaggregation M, select the power response attenuation rate greater than ψ _Nmin, main vapour pressure response attenuation rate is greater than ψ _PminBe deconstructed into new optimization disaggregation M1, wherein ψ _NminAnd ψ _PminBe respectively the minimum power response attenuation rate and the minimum main vapour pressure response attenuation rate that set;

A53. rated output setting value N _E0Rise or during load down with the rate of change of per minute R% rated load, optimize that each separates the absolute value e of the main vapour pressure maximum dynamic error of pairing monoblock boiler follow coordinated control system among the disaggregation M1 _Pmax, wherein R is the unit liter of electrical network requirement or the load change rate of load down;

A54. from optimize disaggregation M1, select main vapour pressure maximum dynamic error absolute value e _PmaxLess than also approaching most e _P0One group of optimum solution of separating, wherein e as the proportional integral derivative controller parameter _P0Absolute value for the main vapour pressure maximum dynamic error that unit allowed;

The optimum proportional integral derivative controller parameter of that group that the preference decision process of A5 is obtained; As the parameter of final proportional integral derivative controller, accomplish monoblock boiler follow coordinated control system proportional integral derivative controller Multi-object optimization and adjust.

Practical implementation step of the present invention is following:

(1) obtains the coordinated control system plant model through Model Distinguish: under the constant condition of steam turbine pitch aperture; Step increases the boiler fuel amount; Note monoblock main vapour pressure and output power value per 5 seconds, stablize constant up to main vapour pressure and output power.Under the constant condition of boiler fuel amount, step increases steam turbine pitch aperture, notes monoblock main vapour pressure and output power value per 5 seconds, stablizes constant up to main vapour pressure and output power.Based on the above-mentioned dynamic characteristic of the course test data that writes down; Employing obtains the transfer function model of fuel quantity-main vapour pressure process, fuel quantity-power output process, steam turbine pitch aperture-main vapour pressure process and steam turbine pitch aperture-power output process respectively based on the process model discrimination method of step response;

The transfer function model of four processes that (2) obtain with step 1; Constitute basic monoblock boiler follow coordinated control system with two PIDs (PID) regulator; The simulation control subsystem of using as parameter optimization, promptly a regulator be input as the poor of set value of the power and measured value, be output as steam turbine pitch aperture; Another regulator be input as the poor of main vapour pressure setting value and measured value, be output as fuel quantity (combustion rate);

(3), choose the optimization aim of following three indexs: at set value of the power N as PID (PID) regulator parameter according to the characteristics of boiler follow coordinated control system _E0When doing the step variation, a) the rise time t of system power response _RNThe shortest; B) the attenuation rate ψ of system power response _NMaximum; C) the attenuation rate ψ of system's main vapour pressure response _PThe most approaching given minimum main vapour pressure response attenuation rate ψ _Pmin

(4) with the scale-up factor K of PID (PID) regulator _P, integration time constant T _i, derivative time constant T _DAs setting parameter, through Control System Imitation, adopt non-domination quicksort genetic algorithm NSGA-II (Zhao Liang, the applied research [D] of genetic algorithm in thermal process modeling and optimization control, Nanjing: Southeast China University, 2006, pp29-31) constantly search for K _P, T _i, T _DParameter value as regulator; Make system's output response can satisfy determined 3 optimization aim of step 3, the many groups regulator parameter that meets optimization aim that obtains through non-domination quicksort genetic algorithm NSGA-II rope constitutes parameter tuning optimization disaggregation M;

(5) the combining unit unit boiler characteristics of following coordinated control system are carried out the preference decision-making, concentrate among the M at optimization solution and choose PID (PID) regulator parameter of one group of parameter as optimum.Its method and step are following:

(A1) rated output setting value N _E0When doing the step variation, each separates pairing control system power response attenuation rate ψ among the optimization disaggregation M _NWith main vapour pressure response attenuation rate ψ _P

(A2) from optimize disaggregation M, select power response attenuation rate ψ _NGreater than ψ _Nmin, main vapour pressure response attenuation rate ψ _PGreater than ψ _PminBe deconstructed into new optimization disaggregation M1, wherein ψ _NminAnd ψ _PminBe respectively the minimum power response attenuation rate and the minimum main vapour pressure response attenuation rate that set;

(A3) rated output setting value N _E0When loading with the rate of change liter (or falling) of per minute R% rated load, each separates the absolute value e of the main vapour pressure maximum dynamic error of pairing control system among the optimization disaggregation M1 _Pmax, wherein R is the load change rate of unit liter (or falling) load of electrical network requirement;

(A4) the absolute value e of selection main vapour pressure maximum dynamic error from optimize disaggregation M1 _PmaxLess than also approaching most e _P0One group of optimum solution of separating, wherein e as PID (PID) regulator parameter _P0The absolute value of the maximum main vapour pressure dynamic deviation that allows for the unit of setting.

(A5) that group optimum solution that A4 is obtained is accomplished the multiple-objection optimization of PID (PID) regulator parameter of monoblock boiler follow coordinated control system and is adjusted as the parameter of final PID (PID) regulator.

Control system controlled device transfer function model can adopt the related transfer function identification Method based on step response to obtain.The multiple goal optimizing also can be selected other multi-objective genetic algorithm for use except adopting non-domination quicksort genetic algorithm NSGA-II.When the decision-making of multiple-objection optimization preference; The purpose of step (A2) is to make closed-loop control system have required stability; The purpose of step (A4) is under the premise that security is guaranteed; Make the main vapour pressure fluctuation as far as possible, thereby make full use of boiler heat storage, make system have fast as far as possible power response speed.

Fig. 1 is the monoblock boiler follow coordinated control system structure that is used for the regulator parameter optimal tunning.Among the figure: N _E0, N _E, P _T0, P _T, μ _TWith μ _BBe respectively power of the assembling unit setting value, real power, unit main vapour pressure setting value, unit main vapour pressure measured value, steam turbine pitch aperture and the unit furnace coal weight (boiler combustion rate) sent out of unit.Two regulators all adopt proportional integral (PI) regulator.

For the validity of this method is described, be example with certain 300 megawatt unit, it through the load mathematical model of controlled plant after the identification is:

$\left[\begin{array}{c}{N}_E\\ P_T\end{array}\right]=\left[\begin{array}{cc}{G}_{11}\left(s\right)& G_{12}\left(s\right)\\ G_{21}\left(s\right)& G_{22}\left(s\right)\end{array}\right]\left[\begin{array}{c}{\mathrm{\μ}}_T\\ {\mathrm{\μ}}_B\end{array}\right]$

Wherein:

$G_{11}\left(s\right)=\frac{4.665s(1+99s)}{(1+50s+{58}^2{s}^2)(1+4.1s)}(\mathrm{MW}/\%)$

$G_{12}\left(s\right)=\frac{2.069(1+311s)}{{(1+149s)}^2(1+22.4s)}(\mathrm{MW}/T/h)$

$G_{21}\left(s\right)=-1.42(0.04+\frac{0.96}{1+70s})(0.1\mathrm{MPa}/\%)$

$G_{22}\left(s\right)=\frac{1.265s(1+205s)}{{(1+128s)}^2(1+11.7s)}(0.1\mathrm{MPa}/T/h)$

G11 (S) is to be input with steam turbine pitch aperture, and unit is real, and to send out power be the transport function of output procedure; G12 (S) is to be input with unit furnace coal weight (boiler combustion rate), and unit is real, and to send out power be the transport function of output procedure; G21 (S) is to be input with steam turbine pitch aperture, and the unit main vapour pressure is the transport function of output procedure; G22 (S) is to be input with unit furnace coal weight (boiler combustion rate), and the unit main vapour pressure is the transmission letter of output procedure.MW/% represents one of every percentage of megawatt, and MW/T/h represents each tph of megawatt, and MPa/% represents one of every percentage of MPa, and MPa/T/h represents each tph of MPa.

It is following that utilization the present invention carries out proportional integral derivative regulator parameter optimal tunning process:

(1) set value of the power is done the step disturbance of 1 megawatt; Attenuation rate the shortest with rise time of power response, power response is maximum, the attenuation rate of main vapour pressure response is an optimization aim near 75%, adopts the scale-up factor K of non-domination quicksort genetic algorithm NSGA-II to two proportional integrals (PI) regulator _P, integration time constant T _iCarry out multiple-objection optimization, calculate, obtain optimization disaggregation M (only having provided the part optimization solution) as shown in table 1 through system emulation.Provide the numbering of optimization solution in the table, corresponding optimization target values (power rise time, power attenuation rate and main vapour pressure attenuation rate) and other corresponding performance parameter (power overshoot amount and pressure maximum dynamic error).

(2) setting the minimum power attenuation rate is 90%, and minimum main vapour pressure attenuation rate is 75%.From optimize disaggregation M, select the power attenuation rate>90%, the main vapour pressure attenuation rate>75% separate, constitute new optimization disaggregation M1, (only having provided the part optimization solution) as shown in table 2.

(3) the supposition unit is reduced to 270 megawatts (load variations 10%) from rated load (300 megawatt) by the speed of per minute 2% rated load; Each separates the main vapour pressure maximum dynamic error that corresponding regulator produces among the calculation optimization disaggregation M1 in this load alternation process; (give the overshoot of power response in the table, promptly the load variations amount surpasses the number percent of 30 megawatts) as shown in table 3.

(4) establishing the main vapour pressure maximum dynamic error that unit allows is 0.4 MPa; Select to optimize maximum dynamic error < 0.4 MPa of main vapour pressure among the disaggregation M1; And be optimum solution near separating of 0.4 MPa, and promptly select to be numbered 3 separate, its corresponding regulator parameter is:

$G_{\mathrm{pid}1}\left(s\right)=0.782+\frac{0.576}{s}$

$G_{\mathrm{pid}2}\left(s\right)=246.88+\frac{2.65}{s}$

When set value of the power was pressed velocity variations-30 megawatt (10% rated load) of per minute 2% rated load, this control response curve of optimizing regulator was as shown in Figure 2.Can find out that the real power of sending out almost overlaps with the setting value curve of power, system has good Steam Generator in Load Follow performance, and main vapour pressure is in the maximum dynamic error of allowing is 0.4 MPa scope.

M (part) is separated in the 1 megawatt hour multiple-objection optimization of table 1 set value of the power step

Table 2 satisfies the multiple-objection optimization disaggregation M1 (part) of stability requirement

Table 3 is optimized the response index (part) when set value of the power is made ramp of separating among the disaggregation M1

Claims (1)

1. coordinated control system regulator parameter optimal tunning method, it is characterized in that: this method is the proportional integral derivative controller parameter multiple-objection optimization setting method that is used for monoblock boiler follow coordinated control system, and this method comprises the steps:

A1. obtain monoblock boiler follow coordinated control system plant model through Model Distinguish; Promptly under the constant condition of steam turbine pitch aperture; Step increases the boiler fuel amount; Note monoblock main vapour pressure and output power value per 5 seconds, stablize constant up to main vapour pressure and output power; Under the constant condition of boiler fuel amount, step increases steam turbine pitch aperture, notes monoblock main vapour pressure and output power value per 5 seconds, stablizes constant up to main vapour pressure and output power; According to the above-mentioned dynamic characteristic of the course test figure that writes down; Employing obtains the transfer function model of fuel quantity-main vapour pressure process, fuel quantity-output power process, steam turbine pitch aperture-main vapour pressure process and steam turbine pitch aperture-output power process respectively based on the process model discrimination method of step response;

The transfer function model of four processes that A2. obtain with steps A 1; Constitute basic monoblock boiler follow coordinated control system with separate first proportional integral derivative controller and second proportional integral derivative controller; The simulation control subsystem of using as parameter optimization; Promptly first proportional integral derivative controller is input as the poor of set value of the power and measured value; Be output as steam turbine pitch aperture, second proportional integral derivative controller be input as the poor of main vapour pressure setting value and measured value, be output as fuel quantity;

A3. confirm to be used for the optimization aim that the proportional integral derivative controller parameter optimization is adjusted: at set value of the power N _E0When doing the step variation, the rise time t of system power response _RNThe shortest, the attenuation rate ψ of system power response _NMaximum, the main vapour pressure response attenuation rate ψ of system _PThe most approaching given minimum main vapour pressure response attenuation rate ψ _Pmin

A4. with the scale-up factor K of first proportional integral derivative controller and second proportional integral derivative controller _P, integration time constant T _i, derivative time constant T _DAs setting parameter,, adopt non-domination quicksort genetic algorithm constantly to search for scale-up factor K through the emulation of monoblock boiler follow coordinated control system _P, integration time constant T _i, derivative time constant T _DParameter value as proportional integral derivative controller; Make monoblock boiler follow coordinated control system output response can satisfy the optimization aim that steps A 3 is confirmed, the parameter value of searching for the many groups proportional integral derivative controller that meets optimization aim of acquisition through non-domination quicksort genetic algorithm constitutes parameter tuning and optimizes disaggregation M;

A5. according to the performance requirement of monoblock boiler follow coordinated control system, in optimizing disaggregation M, carry out the preference decision-making as follows:

A51. rated output setting value N _E0When doing the step variation, each separates pairing monoblock boiler follow coordinated control system power response attenuation rate ψ among the optimization disaggregation M _NWith main vapour pressure response attenuation rate ψ _P

A52. from optimize disaggregation M, select the power response attenuation rate greater than ψ _Nmin, main vapour pressure response attenuation rate is greater than ψ _PminBe deconstructed into new optimization disaggregation M1, wherein ψ _NminAnd ψ _PminBe respectively the minimum power response attenuation rate and the minimum main vapour pressure response attenuation rate that set;

A53. rated output setting value N _E0Rise or during load down with the rate of change of per minute R% rated load, optimize that each separates the absolute value e of the main vapour pressure maximum dynamic error of pairing monoblock boiler follow coordinated control system among the disaggregation M1 _Pmax, wherein R is the unit liter of electrical network requirement or the load change rate of load down;

A54. from optimize disaggregation M1, select main vapour pressure maximum dynamic error absolute value e _PmaxLess than also approaching most e _P0One group of optimum solution of separating, wherein e as the proportional integral derivative controller parameter _P0Absolute value for the main vapour pressure maximum dynamic error that unit allowed;

The optimum proportional integral derivative controller parameter of that group that the preference decision process of A51-A54 is obtained; As the parameter of final proportional integral derivative controller, accomplish monoblock boiler follow coordinated control system proportional integral derivative controller Multi-object optimization and adjust.

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