JPH11237002A - Power plant controller - Google Patents

Abstract

PROBLEM TO BE SOLVED: To automatically correct a dynamic preceding control signal to an optimum value according to history of feature amount related to steam temperature. SOLUTION: At change of load command signal, the feature amount of min steam temperature is extracted by a feature amount extracting part 1-1 according to the signal of the output of a main steam temperature seller 207. When it is judged that controllability was not improved at previous adjustment based on the deviation between the extracted feature amount and a previous feature amount, a membership function stored in an adjustment rule storage part 104 is corrected under command from a membership function automatic correcting part 102. Here, a parameter correction coefficient assuming part 103 assumes a parameter correction coefficient based on the corrected membership function, and according to the assumed value, a dynamic preceding control parameter is corrected and a new dynamic preceding control parameter is generated by a parameter calculation part 105. The new generated dynamic preceding control parameter is outputted to a dynamic preceding control signal generator 202, and a dynamic preceding control signal is generated according to the dynamic preceding control parameter which is automatically adjusted.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a power plant control device, and more particularly to a power plant control device having a function of tuning parameters relating to a dynamic preceding control signal for suppressing a change in steam temperature when a load changes. About.

[0002]

2. Description of the Related Art In a power plant such as a thermal power plant, fluctuations in a main steam temperature, which is a steam temperature at a turbine inlet, are controlled by using feedback control and advance control when controlling the temperature of steam supplied to a turbine. The control is performed, and a great result is achieved in the improvement of the plant controllability by performing these controls. In particular, for a thermal power plant with a large response delay, the advance control of increasing or decreasing the fuel in advance by predicting that the steam temperature fluctuates according to the load fluctuation is an effective method. However, in the conventional precedence control method, a control signal, for example, a control parameter (dynamic precedence control parameter) for determining a dynamic precedence control signal is obtained by a plant operator observing a fluctuation of a control amount such as a main steam temperature. However, it has to be adjusted manually.

On the other hand, Japanese Patent Application Laid-Open No. 7-4420 discloses an automatic adjustment of preceding control parameters.
No. 5 publication. In this conventional technique, in order to suppress a change in the steam temperature when the load command signal changes, a deviation between the main steam temperature and the target temperature when the load command signal changes is regarded as a feature amount of the steam temperature,
An optimum parameter of the dynamic preceding control signal is calculated by fuzzy inference based on the feature amount, and the parameter is automatically adjusted based on the calculated value.

[0004]

According to the prior art, the deviation between the main steam temperature and the target temperature when the load command signal changes is taken as a characteristic value of the steam temperature, and is obtained from fuzzy inference based on this characteristic value. The parameters of the dynamic preceding control signal can be automatically adjusted. However, if the rules and the membership function used for the fuzzy inference for generating the dynamic precedence control signal are not properly set, it becomes impossible to calculate the optimal dynamic precedence control parameter, or The number of inferences required to calculate the optimal dynamic precedence control parameters is enormous. Incidentally, Japanese Patent Laid-Open No. 2-24
As described in JP-A-4302, JP-A-7-93004, and JP-A-7-230303, it is conceivable to use a method of modifying a membership function, but this method is applied to a parameter tuning method. It is difficult to do.

SUMMARY OF THE INVENTION An object of the present invention is to provide a power plant capable of automatically correcting a dynamic preceding control signal for suppressing a change in steam temperature at the time of a load change to an optimum value in accordance with a history of characteristic quantities relating to steam temperature. It is to provide a control device.

[0006]

To achieve the above object, the present invention provides a feature extracting means for extracting a feature related to steam temperature during a load change period in response to a change in a load command signal; Dynamic preceding control signal creating means for creating and outputting a dynamic leading control signal for suppressing the fluctuation of the steam temperature in response to a change in the command signal in accordance with a dynamic leading control parameter; and Fuel amount control means for controlling the amount of fuel supplied to the boiler based on the characteristic amount extraction means; and a correction coefficient of a dynamic advance control parameter for defining the dynamic advance control signal based on the characteristic amount extracted by the characteristic amount extraction means. Parameter correction coefficient estimating means for correcting the dynamic preceding control parameter with a correction coefficient estimated by the parameter correction coefficient estimating means. It is obtained by constituting the power plant control system comprising a correction means for automatically correcting the correction coefficient of the dynamic preceding control parameters according to the feature amount of history by the extraction amount extraction means.

When the power plant control device is constructed, the characteristic amount extracting means is configured to calculate a characteristic amount of the steam temperature based on a deviation between the steam temperature and the target temperature during the load change period in response to a change in the load command signal. It can be constituted by one having a function of extracting.

In configuring the power plant control device, the following elements can be added.

(1) The dynamic advance control parameters defining the dynamic advance control signal are a rise time, a gain, and a convergence time of the dynamic advance control signal.

(2) The feature quantity extracted by the feature quantity extracting means is the maximum deviation between the steam temperature and the control target value of the steam temperature between the change start time and the change end time of the load command signal. The extracted feature quantity, the feature quantity extracted at the end time of the change of the load command signal out of the deviation between the steam temperature and the control target value of the steam temperature, the steam temperature and the control target value of the steam temperature Of the maximum deviation from the load command signal after the change end time of the load command signal.

(3) The parameter correction coefficient estimating means estimates a correction coefficient of a dynamic preceding control parameter from a plurality of feature amounts extracted by the feature amount extracting means using fuzzy inference.

(4) The correcting means automatically corrects a membership function in fuzzy inference used by the parameter correction coefficient estimating means for correcting a dynamic preceding control parameter.

(5) display means for displaying the dynamic leading control parameter corrected by the parameter correction means;
A parameter adjusting means for forcibly adjusting a dynamic preceding control parameter used in the dynamic preceding control signal creating means in response to an operation based on the display content of the display means is provided.

According to the above-mentioned means, after the dynamic preceding control parameter relating to the dynamic preceding control signal is automatically corrected based on the steam temperature characteristic when the load command signal changes, the characteristic during the next load change period is changed. It extracts and automatically corrects the correction coefficient of the dynamic preceding control parameter according to the deviation between the previous characteristic amount and the current characteristic amount. For example, automatically modify the membership function of fuzzy inference. By executing such control for each load change period, it is possible to automatically correct the dynamic preceding control signal for suppressing the fluctuation of the steam temperature when the load command changes, to an optimum value. By controlling the fuel amount to the boiler based on the dynamic advance control signal automatically adjusted to the optimum value, it is possible to minimize the fluctuation of the steam temperature when the load changes.

[0015]

DESCRIPTION OF THE PREFERRED EMBODIMENTS One embodiment of the present invention will be described below with reference to the drawings.

FIG. 1 is a block diagram of a regulator used in a power plant control device, and FIG. 2 is an overall configuration diagram of the power plant control device. In FIG. 2, the power plant control device is a thermal power plant control device 2 for controlling the thermal power plant 3 as a load command signal setting device 20.
1. Dynamic preceding control signal generator 202, main steam pressure controller 203, adder 204, generator output controller 205, multiplier 206, main steam temperature controller 207, adder 208, water supply controller 209, It is configured to include a fuel amount controller 210 and a regulator 1, and a generator output controller 205, a water supply amount controller 209, and a fuel amount controller 210 are connected to the thermal power plant 3.

The load command signal setting device 201 adds a load command signal LO for designating a load required as the thermal power plant 3 to the adder 204 and the dynamic control signal generator 2.
02, output to the adjuster 1. In response to the load command signal LO, the dynamic preceding control signal generator 202 converts the dynamic preceding control signal FV for suppressing the fluctuation of the main steam temperature T when the load command signal LO changes into the dynamic control parameter K. , Ta, and Tb. That is, the dynamic advance control signal generator 202 outputs a dynamic advance control signal FV for correcting an excess or deficiency of the fuel amount when the load command signal LO changes. The main steam pressure controller 203 adds the main steam pressure correction signal Pr for maintaining the main steam pressure P at the target value from the main steam pressure P and the main steam pressure setting signal (target value of main steam pressure) P0. 204. The adder 204 adds the load command signal LO and the main steam pressure correction signal Pr and outputs a static advance control signal L1 as a target value of the water supply amount. The generator output controller 205 outputs a turbine control valve control signal MWv for controlling the opening of the turbine control valve to the thermal power plant 3 based on the generator output (detected value) MW and the load command signal LO. It is configured as output control means. The multiplier 206 multiplies the static advance control signal L1 from the adder 204 by a gain and outputs the static advance control signal L2 to the adder 208. The main steam temperature controller 207 generates a deviation ΔT between the main steam temperature (detected value) T of the thermal power plant 3 and the main steam temperature setting signal (target steam temperature value) T0 and corrects the main steam temperature. A signal Tr is generated, and the deviation ΔT is output to the adjuster 1 as a feature amount relating to the main steam temperature, and a main steam temperature correction signal Tr is output to the adder 208. The adder 208 adds the main steam temperature correction signal Tr, the static advance control signal L2, and the dynamic advance control signal FV to generate a fuel amount target signal L3, and outputs this signal L3 to the fuel amount controller 210. It is supposed to. The fuel amount controller 210 controls a fuel amount adjustment valve control signal FFv for controlling the opening of a fuel adjustment valve for adjusting the fuel amount to the boiler from the fuel amount (detected value) FF and the fuel amount target signal L3.
Is generated and output to the thermal power plant 3. That is, the adder 208 and the fuel amount 210 are configured as fuel amount control means for controlling the fuel amount. Further, the water supply amount controller 209 generates a water supply pump control signal WFv for controlling the driving amount of the water supply pump from the water supply amount (detected value) VF and the static advance control signal L1 and outputs the signal to the thermal power plant 3. It is configured as water supply amount control means.
The adjuster 1 automatically adjusts the preceding control parameters K, Ta, and Tb when the load command signal LO changes based on the deviation ΔT.

Next, the operation of the thermal power plant control device 2 will be described. First, when the load command signal LO is output from the load command signal setting device 201, the generator output controller 205
Outputs a turbine control valve control signal MWv generated based on the difference between the load command signal LO and the generator output MW, and the adder 204 outputs a main steam pressure correction signal Pr
A static preceding control signal L1 generated from the load command signal LO and the load command signal LO is output as a target value of the water supply amount. Then, the opening of the turbine control valve is controlled in accordance with the turbine control valve control signal MWv, and the generator output is adjusted in accordance with the load command signal LO. When the static advance control signal L1 is output, the water supply amount controller 209 outputs a feedwater pump control signal WFv generated based on the difference between the water supply amount WF and the static advance control signal L1. Thereby, control for maintaining the amount of water supplied to the water supply pump at the target value is executed. Further, when the static advance control signal L1 is converted into the static advance control signal L2 by the multiplier 206 and input to the adder 208, the adder 208 outputs the main steam temperature correction signal Tr,
A fuel amount target signal L3 generated based on the static leading control signal L2 and the dynamic leading control signal FV is output. The fuel amount target signal L3 is input to the fuel amount controller 210, and the fuel amount controller 210 outputs a fuel amount adjustment valve control signal FF generated based on the difference between the fuel amount FF and the fuel amount target signal L3.
v is output, and the control signal FFv is input to the thermal power plant 3. Thus, the opening of the fuel amount adjustment valve is controlled, and control for maintaining the fuel amount at the target value is executed.

On the other hand, the dynamic precedence control signal generator 202
The change state of the load command signal LO is monitored, and the load command signal L
In response to O, a dynamic advance control signal FV for correcting an excess or deficiency of the fuel amount when the load command signal LO changes is generated according to the dynamic advance control parameters K, Ta, and Tb.

Here, the characteristics of the dynamic control signal FV are shown in FIG.
It is explained according to. For example, as shown in FIG. 3A, when a load command signal LO for commanding to increase the load is output, the static preceding control signal L2 is used to increase the amount of fuel as shown in FIG. 3B. Is output as a signal. Further, based on the difference between the load command signal LO and the generator output MW at this time, control for opening the opening of the turbine control valve is performed, and the amount of steam supplied to the steam turbine increases. At this time, the main steam pressure P is set to a set value (target value).
In order to maintain P0, control for increasing the water supply amount WF is performed according to the static advance control signal L1. If the dynamic advance control is not performed while such control is being performed, the main steam temperature T decreases as the water supply amount WF increases, and the main steam temperature T may be maintained at the target value. become unable. Therefore, when the load command signal LO supporting the increase in the load is output, before the main steam temperature T decreases, the dynamic preceding control signal F is set to increase the fuel amount FF in advance.
V is output. When the load decreases, on the contrary, a dynamic preceding control signal FV that decreases the fuel amount FF is output. As shown in FIG. 3 (c), the dynamic preceding control signal FV used for such dynamic preceding control is a time T1 from the change start time T1 of the load command signal LO.
a, and rises with a constant slope until time T2, and a constant gain K from time T2 to a change end time T3 of the load command signal LO.
And a constant slope during the convergence time Tb from the change end time T3 to the dynamic preceding control signal output end time T4.
Are set so as to exhibit the characteristic of converging to. This characteristic is expressed by the following equation.

FV = K (t−T2) / Ta (t ≦ T1 + Ta) (1) FV = K (T1 + Ta <t ≦ T3) (2) FV = −K (t−T3) / (Tb + K) (T3 <t ≦ T3 + Tb) (3) FV = 0 (T3 + Tb <t) (4) The dynamic precedence control signal FV having the above characteristics is the static precedence control signal L2. , The fuel amount target signal L3 output from the adder 208 has a characteristic as shown in FIG. When the control for increasing the fuel amount is performed based on the fuel amount target signal L3, it is possible to suppress the main steam temperature T from fluctuating when the load changes. In this case, the dynamic preceding control signal FV is generated based on the dynamic preceding control parameters K, Ta, and Tb.
In order to suppress the fluctuation of the main steam temperature T, it is necessary to adjust the dynamic preceding control parameters K, Ta, and Tb to appropriate values, and the adjustment is performed by the adjuster 1.

As shown in FIG. 1, the adjuster 1 includes a feature amount extraction unit 101, a membership function automatic correction unit 102, a parameter correction coefficient estimation unit 103, and an adjustment rule storage unit 10.
4. It is configured to include a parameter calculation unit 105.

The characteristic amount extraction unit 101 receives a load command signal LO
The main steam temperature T and the main steam temperature, which are output signals from the main steam temperature controller 207, are configured as feature amount extracting means for extracting a feature amount related to the steam temperature during the load change period in response to the change of the main steam temperature. Deviation Δ from setting signal T0
The feature quantity of the steam temperature waveform is extracted based on the time series data of T. Specifically, as shown in FIG.
When the load command signal LO changes like a ramp from time T1 to time T3, steam temperature deviations Tma, Tmb, and Tmc are extracted as characteristic quantities of the main steam temperature waveform. The characteristic amount Tma indicates the maximum steam temperature deviation between the change start time T1 and the change end time T3 of the load command signal LO, the characteristic amount Tmb indicates the steam temperature deviation at the change end time T3 of the load command signal LO, Feature value Tmc
Indicates the maximum steam temperature deviation after the change end time T3 of the load command signal LO.

The membership function automatic correction unit 102
Correction for automatically correcting the correction coefficient of the dynamic preceding control parameter according to the deviation between the characteristic amount during the previous load change period and the characteristic amount during the current load change period among the characteristic amounts extracted by the characteristic amount extraction unit 101. For example, as described later, the adjustment rule storage unit 104
The membership function stored in is automatically modified.

The adjustment rule storage unit 104 stores, for example, information on membership functions shown in FIG. 5 and adjustment rules shown in FIG. 6 as functions and rules used for fuzzy inference. As shown in FIG. 5 (a), the membership function includes the main steam temperature features Tma and Tma.
An antecedent membership function for qualitatively evaluating mb and Tmc and a parameter correction coefficient qualitatively determined by the adjustment rule as shown in FIG. It consists of a consequent membership function to convert to CpTa and CpTb. In the antecedent membership function, the horizontal axis represents the feature values Tma, Tmb, and Tmc, and the vertical axis represents the qualitative degree. Also, Tma1 to Tma5, Tmb1 to Tmb
mb5 and Tmc1 to Tmc5 are values for determining the antecedent membership function, respectively, where NB is a negative deviation, ZE is a zero deviation, and PB is a name of the antecedent membership function indicating a positive deviation. It is. Here, the feature value Tm
In the membership function regarding a, for example, when the feature value Tma is Tmm ′, the feature value Tma is a function M
This indicates that B (the degree of negative deviation) is 0.2 and the degree of the function ZE (the degree of zero deviation) is 0.6.

On the other hand, the horizontal axis in the membership function of the consequent part represents a parameter correction coefficient, and the vertical axis represents a qualitative degree. Also, parameter correction coefficients Cp1 to Cp5
Is a value for determining the consequent part membership function, and SM, ME, and BG are names of the consequent part membership function, respectively.

The antecedent part membership function and the consequent part membership function having the above configuration are linked according to the adjustment rule shown in FIG. For example, among the plurality of adjustment rules, rule 3 indicated by rule number 3 is described as follows: “When feature amount Tma is PB, feature amount Tmb is ZE, and feature amount Tmc is PB, the modification coefficient CpK is SM
(Meaning that the value is corrected in the decreasing direction), the correction coefficient CpTa is B
G (meaning that the value is corrected in the increasing direction), and the correction coefficient CpTb is SM. " This is because "the function PB is used for the feature value Tma, the function ZE is used for the feature value Tmb, and the function PB is used for the feature value Tmc as the antecedent membership function. The function BG is used for the coefficient CpTa, and the function SM is used for the correction coefficient CpTb.
Are used as consequent part membership functions. It means. It is to be noted that the consequent part membership function ME indicates that the value is substantially unchanged without modifying the value.

On the other hand, parameter correction coefficient estimating section 103
Are dynamic advance control parameters K and T that define a dynamic advance control signal FV based on the feature amount extracted by the feature amount extraction unit 101 and the information stored in the adjustment rule storage unit 104.
It is configured as parameter correction coefficient estimating means for estimating correction coefficients CpK, CpTa, CpTb of a and Tb. Further, the parameter calculation unit 105 is configured as a parameter correction unit that corrects the previous dynamic preceding parameter with the correction coefficient estimated by the parameter correction coefficient estimation unit 103. Hereinafter, the membership function automatic correction unit 10
2. Specific functions of the parameter correction coefficient estimation unit 103 and the parameter calculation unit 105 will be described.

First, an example of how to obtain a parameter correction coefficient by fuzzy inference will be described with reference to FIG. In the feature amount extraction unit 101, for example, the feature amounts Tma ', Tma'
When mb ′ and Tmc ′ are obtained, a qualitative degree is obtained for these features using the antecedent membership function. That is, with reference to each adjustment rule, the minimum value of the qualitative degree (referred to as the degree of conformity) is determined for each rule. For example, in rule 3, the feature amount Tm
Using a function PB for a ′, a function ZE for a feature amount Pmb ′, and a function PB for a feature amount Tmc ′,
Qualitative degree GA, G corresponding to each function for each feature amount
B and GC are obtained. Then, the degree indicating the minimum value among these degrees, that is, the degree GC is obtained as the degree of conformity in the rule 3. Similarly, in rule 4, qualitative degrees GA, GB, and GC 'of the feature amounts Tma', Tnb ', and Tmc' according to each function are obtained. The minimum value of these degrees, that is, the degree GA, is defined in Rule 4.
Is determined as the conformity of Similarly, the fitness of each rule is obtained, and the consequent membership function of each rule is weighted by the fitness of each rule. For example, with regard to rule 3, the function SM for the correction coefficient CpK is weighted by the goodness-of-fit GC (hatched portion in FIG. 7). Similarly, the membership function of the consequent part of each rule is weighted according to the degree of matching. Thereafter, a union of the weights of the rules is obtained, and the center of gravity GCpK of the union is calculated as a new parameter correction coefficient C
Determined as pG. Other parameter correction coefficients CpTa,
CpTb is determined by a similar method.

By the above processing, the correction coefficients CpK, CpTa, and CpK for the dynamic preceding control parameters K, Ta, and Tb are calculated.
When CpTb is obtained, the parameter operation unit 105 calculates the dynamic preceding control parameters K, T
a and Tb are added to the correction coefficient Cp obtained by the estimation operation.
K, CpTa, CpTb, and multiplies this value as a new dynamic advance control parameter.
02 is output. Thereby, the dynamic preceding control signal creator 202 creates the dynamic preceding control signal FV according to the new dynamic preceding control parameter.

Next, the specific function of the membership function automatic correction unit 102 will be described with reference to FIG. First, after the dynamic preceding control parameters are corrected by the method described above, when the same load command signal LO is output again, the feature amount extraction unit 101 causes the feature amount extraction unit 101 to output, for example, the feature amounts Tma2 ″ and Tmb2. When “, Tmc2” is obtained, these feature amounts and the feature amounts Tma ′, Tmb ′, Tm extracted in the previous load change period are obtained.
c ′ are compared with each other, and whether or not the controllability is improved is determined by this comparison. This determination is made, for example, by the feature amount T
If the sum of the absolute values of ma2 ", Tmb2", and Tmc2 "is smaller than the sum of the absolute values of the features Tma ', Tmb', and Tmc ', the controllability is improved. A method is used that assumes that has not been improved.

In this determination, when a determination result that the controllability has not been improved is obtained, the dynamic preceding control parameters K, Ta, and Tb created by the parameter correction coefficients CpK, CpTa, and CpTb obtained last time are: This means that the previous value was not an appropriate value for the load command signal LO, and it can be said that the dynamic preceding control according to the dynamic change parameter automatically adjusted last time was not an appropriate control. In this case, the factor that most influenced the determination of these parameter correction coefficients was the rule with the highest degree of conformity at the time of the previous parameter correction coefficient estimation, that is, the rule or the degree of conformity that exceeded a certain threshold value α. Are the rules of the top X term, these rules include the feature values Tma ′,
This means that Tmb 'and Tmc' are not rules that should have a high degree of conformity. Therefore, in order to make the degree of conformity of the rule to these features more appropriate, for example, as shown in FIG.
The membership function is corrected such that the inclination of the function PB with respect to the function PB is corrected and the function PB ′ is corrected. This correction is performed so that the fitness G ′ after the membership function is corrected for the feature amounts Tma ′, Tmb ′, and Tmc ′ is smaller than the fitness G before the correction. On the other hand, when the controllability is improved, the membership function can be modified so that the fitness G ′ after the modification becomes larger than the fitness G before the modification.

By repeating the above operation for each load change period in which the load command signal LO changes, the adjustment rule applied to the automatic adjustment of the dynamic preceding control signal used for suppressing the fluctuation of the steam temperature conforms. Rules that have a higher degree and are not suitable for automatic adjustment have a lower degree of conformity. So, by using the adjustment rules with the higher conformity in order,
A dynamic preceding control signal suitable for a change in load can be created, and by using this dynamic preceding control signal, a change in steam temperature during a load change can be reliably suppressed.

In the above-described embodiment, the method of changing the slope of the membership function of the antecedent part has been described as the method of correcting the membership function. However, the method of changing the shape of the membership function of the consequent part is adopted. Can also.

As described above, according to the present embodiment,
Since the membership function for creating the dynamic advance control signal is automatically adjusted to the optimal value according to the history of the feature quantity related to the steam temperature, the fuel amount is automatically adjusted based on the dynamic advance control signal. , The fluctuation of the steam temperature at the time of load change can be minimized.

In the above-described embodiment, a display means for displaying the dynamic preceding control parameters adjusted by the adjuster 1, for example, a CRT display device is provided, and the display contents displayed on the screen of the CRT display device are provided. On the basis of this, it is also possible to provide a device having a function as a parameter adjusting means for forcibly adjusting the dynamic advance control parameter input to the dynamic advance control signal generator 202 by the operation of the operator.

[0037]

As described above, according to the present invention,
The dynamic preceding control signal for suppressing the fluctuation of the steam temperature at the time of load change is automatically adjusted to the optimum value according to the history of the feature value related to the steam temperature. It can be minimized automatically.

[Brief description of the drawings]

FIG. 1 is a block diagram of an adjuster showing an embodiment of the present invention.

FIG. 2 is an overall configuration diagram of a thermal power plant control device showing one embodiment of the present invention.

FIG. 3 is a waveform diagram for explaining dynamic preceding control in the thermal power plant control device.

FIG. 4 is a diagram for explaining a method of extracting a characteristic amount of a main steam temperature when a load changes.

FIG. 5 is a diagram illustrating a membership function used for fuzzy inference.

FIG. 6 is a diagram for explaining a configuration of an adjustment rule used for fuzzy inference.

FIG. 7 is a diagram for explaining a method of calculating a control parameter correction coefficient by fuzzy inference in the adjuster according to the present invention.

FIG. 8 is a diagram for explaining a method of modifying a membership function used for fuzzy inference in the adjuster according to the present invention.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Regulator 2 Thermal power plant control apparatus 101 Feature amount extraction unit 102 Membership function automatic correction unit 103 Parameter correction coefficient estimation unit 104 Adjustment rule storage unit 105 Parameter calculation unit 201 Load command signal setting unit 202 Dynamic advance control signal generator 203 Main steam pressure controller 204 Adder 205 Generator output controller 206 Multiplier 207 Main steam temperature controller 208 Adder 209 Water supply amount controller 210 Fuel amount controller

Continuation of the front page (51) Int.Cl. ⁶ Identification symbol FI // F01D 15/00 F01D 15/00 (72) Inventor Saburo Kitamura 3-2-2, Sachimachi, Hitachi City, Hitachi City, Ibaraki Prefecture Hitachi Engineering Services, Ltd. Inside

Claims (7)

[Claims] 1. A feature amount extracting means for extracting a feature amount related to a steam temperature during a load change period in response to a change in a load command signal, and suppressing a change in the steam temperature in response to a change in the load command signal. Dynamic preceding control signal creating means for creating and outputting a dynamic leading control signal in accordance with the dynamic leading control parameter, and fuel amount controlling means for controlling a fuel amount to the boiler based on the dynamic leading control signal; A parameter correction coefficient estimating means for estimating a correction coefficient of a dynamic preceding control parameter defining the dynamic preceding control signal based on the feature amount extracted by the feature amount extracting means; Parameter correction means for correcting the dynamic preceding control parameter by a correction coefficient according to A power plant control apparatus comprising: a correction unit that automatically corrects a correction coefficient of a preceding control parameter. 2. A feature amount extracting means for extracting a feature amount of a steam temperature based on a deviation between a steam temperature and a target temperature during a load change period in response to a change in a load command signal; Dynamic preceding control signal creating means for creating and outputting a dynamic leading control signal for suppressing the fluctuation of the main steam temperature in accordance with a dynamic leading control parameter, and a boiler based on the dynamic leading control signal A fuel amount control unit for controlling the amount of fuel supplied to the vehicle, and a parameter correction coefficient for estimating a correction coefficient of a dynamic precedence control parameter defining the dynamic precedence control signal based on the characteristic amount extracted by the characteristic amount extraction unit. Estimating means, parameter correcting means for correcting the dynamic preceding control parameter by a correction coefficient estimated by the parameter correcting coefficient estimating means, and extraction by the feature amount extracting means. A power generator comprising: a correction unit that automatically corrects a correction coefficient of the dynamic preceding control parameter in accordance with a deviation between the characteristic amount during the previous load change period and the characteristic amount during the current load change period among the characteristic amounts. Plant control equipment. 3. The dynamic advance control parameter defining the dynamic advance control signal is a rise time, a gain, and a convergence time of the dynamic advance control signal. Power plant control equipment. 4. The feature quantity extracted by the feature quantity extracting means is extracted from a maximum deviation between a steam temperature and a control target value of the steam temperature between a change start time and a change end time of the load command signal. The characteristic amount, the characteristic amount extracted at the end time of the change of the load command signal out of the deviation between the steam temperature and the control target value of the steam temperature, the steam temperature and the control target value of the steam temperature The power plant control device according to claim 2 or 3, wherein the maximum deviation is a characteristic amount extracted after a change end time of the load command signal. 5. A method according to claim 1, wherein said parameter correction coefficient estimating means estimates a correction coefficient of a dynamic preceding control parameter from a plurality of feature amounts extracted by said feature amount extracting means using fuzzy inference. Item 1, 2, 3 or 4
A power plant control device according to any one of the preceding claims. 6. The fuzzy inference used by the parameter correction coefficient estimating means for correcting a dynamic precedence control parameter, wherein the correcting means automatically corrects a membership function. Power plant control equipment. 7. A display means for displaying the dynamic advance control parameter corrected by the parameter correction means, and a dynamic advance control signal generating means for responding to an operation based on the display content of the display means. 7. The power plant control apparatus according to claim 1, further comprising parameter adjustment means for forcibly adjusting the preceding control parameter.