CN115660173A - Power ramp prediction method, apparatus, device, storage medium and program product - Google Patents
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Abstract
The present application relates to a power ramp prediction method, apparatus, device, storage medium and program product. The method comprises the following steps: the method comprises the steps of firstly obtaining measurement activity under any burnup in the reactor core operation process, then carrying out iterative solution according to the measurement activity and a pre-established objective function to obtain an optimal water gap parameter, and finally carrying out power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor. By adopting the method, the variation trend of the quadrant power inclination along with the fuel consumption and the variation trend along with the power level can be obtained, so that the reactor core quadrant power inclination factor can be quantitatively predicted, the prediction effect is good, the arbitrariness of manual adjustment is avoided, the reliability is high, the operation plan of the unit can be intervened in advance, and the operation safety of the unit is improved.
Description
Technical Field
The present application relates to the field of pressurized water reactor core operation and safety technology, and more particularly, to a power ramp prediction method, apparatus, device, storage medium, and program product.
Background
In the daily operation of a pressurized water reactor nuclear power plant, the arrangement of fuel assemblies of a reactor core is generally 1/4 rotational symmetry, but the actual measured power distribution of the core is not 1/4 symmetric, and when the asymmetry of the actual power distribution of the core exceeds a certain limit value, a local hot spot of the core exceeds the design limit value, so that potential safety risk is caused.
At present, the water gap parameters are usually manually adjusted, and then the power inclination is predicted according to the manually adjusted water gap parameters. However, the manual adjustment is arbitrary, and the actual prediction effect is not good, and the reliability is too low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a power tilt prediction method, apparatus, device, storage medium, and program product for addressing the above technical problems.
In a first aspect, the present application provides a power tilt prediction method. The method comprises the following steps:
acquiring the measurement activity under any burnup in the reactor core operation process;
performing iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to the parameters of the water gap to be optimized;
and performing power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
In one embodiment, the iteratively solving according to the activity and a pre-established objective function to obtain an optimal water gap parameter includes:
inputting the initial water gap parameter serving as a water gap parameter to be optimized into a target function to obtain the maximum difference value of theoretical power distribution and actual measurement power distribution;
and if the maximum difference value accords with the preset constraint condition, ending the iterative computation, and determining the water gap parameter to be optimized when the iterative computation is ended as the optimal water gap parameter.
In one embodiment, the method further comprises:
if the maximum difference value does not accord with the preset constraint condition, adjusting the water gap parameter to be optimized so as to update the water gap parameter to be optimized;
and inputting the updated parameters of the water gap to be optimized into the objective function for iterative computation.
In one embodiment, the method further comprises:
obtaining reaction section parameters under any burnup; wherein the reaction section parameter takes a water gap parameter to be optimized as a state variable;
and solving a neutron diffusion equation according to the reaction section parameters to obtain theoretical power distribution.
In one embodiment, the determining the measured power distribution according to the theoretical power distribution and the measured activity includes:
determining a correction factor by using the pre-acquired theoretical activity and the pre-acquired measured activity;
and correcting the theoretical power distribution by using the correction factor to obtain the actually measured power distribution.
In one embodiment, the performing power tilt prediction based on the optimal water gap parameter to obtain the target tilt factor includes:
based on the optimal water gap parameters, performing next-step burnup power distribution calculation to obtain the average component power of the reactor core and the average component power of each quadrant of the reactor core;
and determining the target inclination factor of each quadrant of the reactor core according to the average component power of each quadrant of the reactor core and the average component power of the reactor core.
In a second aspect, the present application further provides a power tilt prediction apparatus. The device comprises:
the activity acquisition module is used for acquiring the measurement activity under any fuel consumption in the reactor core operation process;
the calculation module is used for carrying out iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to a parameter of a water gap to be optimized;
and the prediction module is used for carrying out power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, the memory stores a computer program, and the processor realizes the following steps when executing the computer program:
acquiring the measurement activity under any burnup in the reactor core operation process;
performing iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to the parameters of the water gap to be optimized;
and performing power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
In a fourth aspect, the present application further provides a computer-readable storage medium. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of:
acquiring the measurement activity under any burnup in the reactor core operation process;
performing iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to the parameters of the water gap to be optimized;
and performing power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
In a fifth aspect, the present application further provides a computer program product. Computer program product comprising a computer program which when executed by a processor performs the steps of:
acquiring the measurement activity under any burnup in the reactor core operation process;
performing iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to the parameters of the water gap to be optimized;
and performing power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
According to the power inclination prediction method, the device, the equipment, the storage medium and the program product, the measured activity under any fuel consumption in the reactor core operation process is firstly obtained, then iterative solution is carried out according to the measured activity and a pre-established objective function to obtain the optimal water gap parameter, and finally power inclination prediction is carried out based on the optimal water gap parameter to obtain the target inclination factor. According to the embodiment of the application, the optimal water gap parameter can be obtained by carrying out iterative solution according to the measurement activity and the pre-established objective function, the arbitrariness of manual adjustment is avoided, and the reliability is high; then, predicting the power inclination according to the optimal water gap parameter to obtain a target inclination factor, so that a better prediction effect can be obtained; because the limit value of the power inclination is changed along with the power level, the margin of the power inclination can be changed by changing the power level, so that the operation plan of the unit is intervened in advance, and the operation safety of the unit is improved.
Drawings
FIG. 1 is a flow diagram of a power ramp prediction method in one embodiment;
FIG. 2 is one of the flow charts of the steps of determining an optimal water gap parameter in one embodiment;
FIG. 3 is a second flowchart of the step of determining the optimal water gap parameter in one embodiment;
FIG. 4 is a flow diagram of obtaining a theoretical power distribution in one embodiment;
FIG. 5 is a schematic illustration of parameters of water gaps between fuel assemblies according to one embodiment;
FIG. 6 is a flow diagram of obtaining a target skew factor in one embodiment;
FIG. 7 is a schematic core division diagram according to one embodiment;
FIG. 8 is a flow chart of a power ramp prediction method in another embodiment;
FIG. 9 is one of the block diagrams of a power tilt prediction apparatus in one embodiment;
FIG. 10 is a block diagram of a compute module in one embodiment;
FIG. 11 is a second block diagram of the power tilt prediction apparatus in one embodiment;
FIG. 12 is a block diagram of a prediction module in one embodiment;
FIG. 13 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more clearly understood, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, a power tilt prediction method is provided, as shown in fig. 1, and is exemplified by being applied to a computer device, it is understood that the computer device may be a terminal, a server, or a system including a terminal and a server, and is implemented by interaction between the terminal and the server. The embodiment of the application comprises the following steps:
The reactor core is a region formed by nuclear fuel elements, wherein the chain fission reaction is carried out in the region and consists of a nuclear fuel assembly, a control rod assembly and water which is used as a neutron moderator and a coolant; burnup refers to the degree of consumption of nuclear fuel during reactor operation; and measuring the measure of nuclear reaction of the activity characterization detector and the reactor core neutrons, and indicating the local power.
The detector measures the measured activity of the nuclear fuel at any burnup during core operation, and the computer device then obtains the measured activity. The embodiment of the present application does not limit the kind of the detector.
For example, the activity A of nuclear fuel at any burnup during core operation is measured using a miniature fission chamber probe M,n (k)，k＝1,2,..,K(K<NFA), and the computer device then obtains the measured activity a M,n (k) Wherein n is a burnup point identifier, K is a component identifier, K is the number of fuel components capable of activity measurement, and NFA is the total number of fuel components in the core.
And 102, carrying out iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter.
The target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to the water gap parameter to be optimized. The theoretical power distribution refers to the power distribution theoretically calculated by the fuel assembly under any fuel consumption; the measured power distribution refers to the power distribution actually measured by the fuel assembly at any burnup.
The computer equipment firstly carries out iterative solution on the target function according to the measured activity and the target function taking the maximum difference value between the theoretical power distribution and the actually-measured power distribution as a target and taking the precision value of the target function less than or equal to the set value as a constraint condition, and finally obtains the optimal water gap parameter;
for example, the activity is measured as A M,n (k) Theoretical power distribution of P C,n (i, j) the measured power distribution is P M,n (i, j) and an objective function of E = max (P) C,n (i,j)-P M,n (i, j)), with an objective function E = max (P) C,n (i,j)-P M,n (i, j)) is less than or equal to the set precision value epsilon as a constraint condition, and the objective function is iteratively solved. Because the theoretical power distribution is related to the water gap parameter and the actually measured power distribution is determined according to the theoretical power distribution and the measured activity, the theoretical power distribution and the actually measured power distribution can be converted into a relational expression comprising the water gap parameter, and further, the objective function can be converted into a relational expression comprising the water gap parameter, so that after the objective function is iteratively solved, the optimal water gap parameter h can be obtained n (I, J), wherein I =1,2,. I, J =1,2,. J, I and J are divided into the number of rows and columns of the rectangular arrangement of the core.
And 103, performing power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
Wherein, the power inclination refers to the uneven power distribution of the fuel assembly in 4 quadrants, and the inclination factor can represent the uneven power distribution.
And the computer equipment acquires the average component power of the reactor core and the average component power of the largest quadrant in the reactor core according to the optimal water gap parameter, and calculates a target inclination factor as a predicted value of the power inclination by utilizing the ratio of the average component power of the largest quadrant in the reactor core to the average component power of the reactor core.
For example, according to the optimal water gap parameter h n (i, j) obtaining average assembly power of the reactor core
And average assembly power of the largest quadrant in the core
Average assembly power using the largest quadrant in the core
Average assembly power to core
Ratio of (A to B)
A target tilt factor is calculated as a predicted value of the power tilt. As will be appreciated, the target inclination factor is the average assembly power from the largest quadrant in the core
Average assembly power to core
Ratio of (A to B)
Calculated average component power when changing the largest quadrant
Or average component power of the core
Thereafter, the target tilt factor may be changed.
In the power inclination prediction method, the measured activity under any fuel consumption in the reactor core operation process is firstly obtained, then iterative solution is carried out according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter, and finally power inclination prediction is carried out based on the optimal water gap parameter to obtain a target inclination factor. According to the embodiment of the application, more accurate water gap parameters can be obtained through iterative solution, theoretical power distribution can be determined according to the water gap parameters to be optimized, actual measurement power distribution is obtained through activity and theoretical power distribution, then the optimal water gap parameters can be obtained, power inclination prediction is carried out by using the solved optimal water gap parameters, a better prediction effect can be obtained, the arbitrariness of manual adjustment is avoided, and the reliability is high; because the quadrant power inclination is changed along with the power level, the quadrant power inclination can be changed by changing the power level, so that the operation plan of the unit is intervened in advance, and the operation safety of the unit is improved.
In an embodiment, as shown in fig. 2, the process of iteratively solving according to the activity and the pre-established objective function to obtain the optimal water gap parameter may include the following steps:
The computer equipment inputs the initial water gap parameter as the water gap parameter to be optimized into the target function, namely, the initial value of the water gap parameter is input into the target function, and the maximum value of the difference is obtained according to the difference between the theoretical power distribution and the actually measured power distribution in the target function. The maximum value of the difference is the maximum difference between the theoretical power distribution and the measured power distribution.
For example, the initial water gap parameter d (i, j) = d 0 As a parameter of the water gap to be optimized, to the objective function E = max (P) C,n (i,j)-P M，n (i, j)) according to the theoretical power distribution P in the objective function C,n (i, j) and the measured power distribution P M,n (i, j) difference (P) C,n (i,j)-P M，n (i, j)), the difference (P) is obtained C,n (i,j)-P M，n (i, j)) of the maximum value.
And 202, if the maximum difference value meets the preset constraint condition, ending the iterative computation, and determining the water gap parameter to be optimized when the iterative computation is ended as the optimal water gap parameter.
The constraint condition means that the target function is less than or equal to a set precision value and is used as the constraint condition.
After the computer equipment inputs the water gap parameter to be optimized into the objective function, if the maximum difference value of the obtained theoretical power distribution and the actually-measured power distribution accords with the preset constraint condition, the iterative calculation can be ended, and the water gap parameter to be optimized at the moment is determined as the optimal water gap parameter.
For example, if the initial water gap parameter is input to the objective function as the water gap parameter to be optimized, and the maximum difference between the obtained theoretical power distribution and the obtained actual power distribution is smaller than or equal to the set precision value, the iterative calculation may be ended, and the water gap parameter to be optimized at this time is determined to be the optimal water gap parameter, that is, the initial water gap parameter is determined to be the optimal water gap parameter.
In the above embodiment, the initial water gap parameter is input into the objective function as the water gap parameter to be optimized to obtain the maximum difference between the theoretical power distribution and the actual power distribution, and then it is determined whether the maximum difference meets the preset constraint condition, if the maximum difference meets the preset constraint condition, the iterative computation is ended, and the water gap parameter to be optimized when the iterative computation is ended is determined as the optimal water gap parameter. By the embodiment of the application, the objective function and the constraint condition are established, the water gap parameter to be optimized can be optimized, the optimal water gap parameter is finally obtained, the difference between theoretical power distribution and actual power distribution is reduced, the purpose of optimization is achieved, and the reliability of predicting the reactor core quadrant power tilt factor is improved.
In one embodiment, as shown in fig. 3, the embodiment of the present application may further include the following steps:
and 203, if the maximum difference value does not meet the preset constraint condition, adjusting the water gap parameter to be optimized so as to update the water gap parameter to be optimized.
And when the computer equipment judges that the maximum difference value between the theoretical power distribution and the actual power distribution is greater than the set precision value, adjusting the water gap parameter to be optimized so as to update the water gap parameter to be optimized.
And step 204, inputting the updated water gap parameter to be optimized into an objective function for iterative calculation.
And under the condition that the maximum difference value does not accord with the preset constraint condition, the computer equipment adjusts the parameter of the water gap to be optimized so as to update the parameter of the water gap to be optimized, inputs the updated parameter of the water gap to be optimized into the objective function for iterative calculation until the obtained maximum difference value of the theoretical power distribution and the actually-measured power distribution accords with the preset constraint condition, ends the iterative calculation, and determines the parameter of the water gap to be optimized when the iterative calculation is ended as the optimal water gap parameter.
For example, the initial water gap parameter is used as the water gap parameter d to be optimized 0 Inputting the parameters into an objective function, and adjusting a water gap parameter d to be optimized if the maximum difference between the theoretical power distribution and the actual power distribution does not accord with a preset constraint condition 0 To obtain the updated water gap parameter d to be optimized 1 And the updated water gap parameter d to be optimized 1 Inputting the data into an objective function, finishing iterative calculation and determining an optimized water gap parameter d at the moment when the maximum difference value of the theoretical power distribution and the actually-measured power distribution obtained at the moment accords with a preset constraint condition 1 The optimal water gap parameter is obtained; if the maximum difference value between the theoretical power distribution and the actual power distribution does not accord with the preset constraint condition, adjusting the water gap parameter d to be optimized 1 To obtain the updated water gap parameter d to be optimized 2 And the updated water gap parameter d to be optimized 2 And inputting the parameters into an objective function, repeating the steps until the maximum difference value between the theoretical power distribution and the actual power distribution meets the preset constraint condition, ending the iterative computation, and determining the water gap parameter to be optimized when the iterative computation is ended as the optimal water gap parameter.
In the above embodiment, it is first determined that the maximum difference value does not meet the preset constraint condition, and the initial water gap parameter is adjusted; and then inputting the adjusted water gap parameters into the objective function to continue iterative computation. By the embodiment of the application, the objective function and the constraint condition are established, the water gap parameters can be optimized, the optimal water gap parameters are finally obtained, and the difference between theoretical power distribution and actual measurement power distribution is reduced, so that the purpose of optimization is achieved, and the reliability of predicting the reactor core quadrant power tilt factor is improved.
In the process of inputting the parameters of the water gap to be optimized into the objective function for iterative calculation, the parameters of the water gap to be optimized input in the next iterative calculation are obtained by adjusting the parameters of the water gap to be optimized input in the previous iterative calculation. Therefore, in the process of multiple iterative calculations, the water gap parameter to be optimized input each time is different, and the theoretical power distribution is determined according to the water gap parameter to be optimized. It can be understood that in the process of multiple iterative computations, the theoretical power distribution corresponds to the water gap parameter to be optimized input in the current iterative computation.
The theoretical power distribution corresponding to the parameter of the water gap to be optimized in a certain iteration process is obtained as an example for explanation. Specifically, in an embodiment, as shown in fig. 4, the embodiment of the present application may further include the following steps:
The reaction section parameter is a parameter for measuring the nuclear reaction size of neutrons and substances, and the reaction section parameter takes a water gap parameter to be optimized as a state variable.
The computer equipment takes the standard width as a reference, and when the water gap parameter to be optimized is the standard width, the obtained reaction section parameter is taken as a reference section; and when the parameter of the water gap to be optimized is higher than the standard width or lower than the standard width, the parameter of the reaction cross section is obtained by superposing a correction quantity related to the water gap on the reference cross section. The correction amount may be positive or negative.
For example, as shown in fig. 5, when the parameter of the water gap to be optimized at this time is a standard width based on the standard width, the reaction cross-section parameter Σ is a reference cross-section Σ determined from parameters such as the fuel temperature and the water density 0 (ii) a When the parameter of the water gap to be optimized is higher than the standard width or lower than the standard width, the parameter sigma of the reaction section is the parameter sigma of the reference section 0 The correction amount Δ Σ (d) related to the water gap is added. The value of the correction amount may be positive or negative.
And 302, solving a neutron diffusion equation according to the reaction section parameters to obtain theoretical power distribution.
The neutron diffusion equation is an equilibrium equation describing a nuclear reaction of neutrons in a medium and is a second-order partial differential equation.
The reaction section parameters take the water gap parameters to be optimized as state variables, the computer equipment determines the reaction section parameters according to the water gap parameters to be optimized, and then the neutron diffusion equation is solved through the numerical values of the reaction section parameters to obtain theoretical power distribution.
In the above embodiment, the reaction section parameter under any burnup is obtained first; wherein the reaction section parameter takes a water gap parameter to be optimized as a state variable; and then solving a neutron diffusion equation according to the reaction section parameters to obtain theoretical power distribution. By the embodiment of the application, the relation between the water gap parameter to be optimized and the theoretical power distribution can be determined, and necessary conditions are established for obtaining the measured power distribution and the optimal water gap parameter later.
In an embodiment, the step of determining from the theoretical power distribution and the measured activity according to the measured power distribution may include: determining a correction factor by using the pre-acquired theoretical activity and the pre-acquired measured activity; and correcting the theoretical power distribution by using the correction factor to obtain the actually measured power distribution.
After the computer equipment obtains the theoretical activity and the measured activity to determine the correction factor, the theoretical power distribution is corrected by using the correction factor to obtain the actually measured power distribution.
For example, obtaining a measured activity A M,n (k) And theoretical activity A C,n (k) Thereafter, the ratio A of the measured activity to the theoretical activity is determined M,n (k)/A C,n (k) I.e. the correction factor, and then the correction factor A M,n (k)/A C,n (k) And theoretical power distribution P C,n (i, j) to obtain the measured power distribution P M,n (i,j)＝(A M,n (k)/A C,n (k))*P C,n (i,j)。
In the above embodiment, after the theoretical activity and the measured activity are calculated to determine the correction factor, the correction factor is used to correct the theoretical power distribution, so as to obtain the actual measured power distribution. According to the embodiment of the application, the accurate actually-measured power distribution can be obtained by correcting the theoretical power distribution according to the correction factor, so that a cushion is made for establishing a target function, and the acquisition of the subsequent optimal water gap parameter is facilitated.
In an embodiment, as shown in fig. 6, the process of performing power tilt prediction based on the optimal water gap parameter to obtain the target tilt factor may include the following steps:
And the computer equipment carries out next step of fuel consumption calculation based on the optimal water gap parameters to obtain power distribution corresponding to the step, and then obtains the average assembly power of the reactor core and the average assembly power of each quadrant of the reactor core. The next step of fuel consumption calculation refers to a calculation process for obtaining the fuel consumption distribution of the component in the next step based on the power distribution obtained by the optimal water gap parameter and the fuel consumption distribution of the fuel component under any fuel consumption. After the subsequent component burn-up distribution is obtained, the power distribution may be updated based on the component burn-up distributions on both sides of the equation and the subsequent component burn-up distribution.
E.g. based on the optimal water gap parameter h n (i, j) corresponding Power distribution P n (i, j), carrying out next step of fuel consumption calculation to obtain power distribution P corresponding to the step n+1 (i, j), and then obtaining the average component power of the reactor core
And average assembly power of each quadrant of the core
Wherein the next step of fuel consumption calculation refers to power distribution P obtained based on the optimal water gap parameter n (i, j) and bu burnup distribution of the Fuel assemblies at any burnup n (i, j) obtaining the component burnup distribution bu of the next step n+1 (i, j) calculation procedure of (i, j), wherein bu n+1 (i,j)＝bu n (i,j)+t/m×(P n (i,j)+P n+1 (i, j))/2. Obtaining the component burnup distribution bu of the next step n+1 After (i, j), the power distribution P can be updated by solving the neutron diffusion equation n+1 (i, j). Wherein t is the equivalent full power operation time, m is the uranium loading, and n is the burnup point identifier.
And the computer equipment obtains the target inclination factor of each quadrant of the reactor core according to the ratio of the average component power of each quadrant of the reactor core to the average component power of the reactor core.
For example, average assembly power using the largest quadrant in the core
Average assembly power to core
The ratio of the first and second values yields a target inclination factor, wherein the denominator of the target inclination factor is the average component power of the core
Average component power with maximum quadrant of molecules
Wherein the average component power of the core
Is to distribute the power P of each component n+1 (i, j) are added and then divided by the total number of components, i.e.
As shown in fig. 7, when i =1,2.. 4, the characterized core is divided by a "+" shape, and when i =1=5,6.. 8, the characterized core is divided by an "x";
in the above embodiment, the average component power of the core and the average component power of each quadrant of the core are obtained first, and then the target tilt factor of each quadrant of the core is obtained according to the ratio of the average component power of each quadrant of the core to the average component power of the core. Through this application embodiment, can obtain quadrant power slope along with the change trend of power level, because quadrant power slope is along with power level change, then can change quadrant power slope through changing power level, and then intervene the operation plan of unit in advance, promote the security of unit operation.
In one embodiment, as shown in fig. 8, a power tilt prediction method is provided, and an embodiment of the present application may include the following steps:
Wherein the reaction section parameter takes a water gap parameter to be optimized as a state variable.
And 505, if the maximum difference value does not accord with the preset constraint condition, adjusting the water gap parameter to be optimized to update the water gap parameter to be optimized, and inputting the updated water gap parameter to be optimized into the objective function for iterative computation.
And step 506, if the maximum difference value meets the preset constraint condition, ending the iterative computation, and determining the water gap parameter to be optimized when the iterative computation is ended as the optimal water gap parameter.
And 507, based on the optimal water gap parameters, performing next-step burnup power distribution calculation to obtain the average assembly power of the reactor core and the average assembly power of each quadrant of the reactor core.
And step 508, determining a target inclination factor of each quadrant of the reactor core according to the average component power of each quadrant of the reactor core and the average component power of the reactor core.
In the above embodiment, the measured activity at any burnup in the reactor core operation process is obtained first, the corresponding relationship between the parameter of the water gap to be optimized and the theoretical power distribution is determined, the correction factor is determined by using the pre-obtained theoretical activity and the measured activity, and then the theoretical power distribution is corrected by using the correction factor, so as to obtain the actually measured power distribution. And then, inputting the initial water gap parameter serving as a water gap parameter to be optimized into the objective function to obtain the maximum difference value of the theoretical power distribution and the actual measurement power distribution, and obtaining the optimal water gap parameter under the condition that the maximum difference value meets the constraint condition. And finally, determining the target tilt factor of each quadrant of the reactor core according to the average component power of each quadrant of the reactor core and the average component power of the reactor core. Through iterative calculation, a more appropriate water gap parameter can be obtained, and therefore, a better prediction effect can be obtained by using the optimal water gap parameter to perform power tilt prediction. And because the inclination factor can represent the change trend of the quadrant power inclination along with the power level, the problem of the quadrant power inclination can be changed according to the inclination factor, so that the operation plan of the unit is disturbed in advance, and the operation safety of the unit is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments are shown in sequence as indicated by the arrows, the steps are not necessarily executed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the above embodiments may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of performing the steps or stages is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the present application further provides a power tilt prediction apparatus for implementing the power tilt prediction method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme described in the above method, so specific limitations in one or more embodiments of the power tilt prediction device provided below can be referred to the limitations of the power tilt prediction method in the foregoing, and details are not described here.
In one embodiment, as shown in fig. 9, there is provided a power tilt prediction apparatus including: activity acquisition module, calculation module and prediction module, wherein:
the activity acquisition module 601 is used for acquiring the measured activity under any fuel consumption in the reactor core operation process;
a calculation module 602, configured to perform iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to a parameter of a water gap to be optimized;
and the predicting module 603 is configured to perform power tilt prediction based on the optimal water gap parameter to obtain a target tilt factor.
In one embodiment, as shown in fig. 10, the calculation module 602 includes:
the maximum difference acquisition submodule 6021 is configured to input the initial water gap parameter as a water gap parameter to be optimized into the target function, so as to obtain a maximum difference between the theoretical power distribution and the actual measurement power distribution;
the optimal parameter obtaining submodule 6022 is configured to end the iterative computation if the maximum difference value meets a preset constraint condition, and determine the water gap parameter to be optimized when the iterative computation is ended as the optimal water gap parameter.
In one embodiment, the method further comprises the following steps:
the iterative computation submodule 6023 is configured to, if the maximum difference value does not meet the preset constraint condition, adjust the water gap parameter to be optimized to update the water gap parameter to be optimized; and inputting the updated parameters of the water gap to be optimized into the objective function for iterative computation.
In one embodiment, as shown in fig. 11, the apparatus further includes:
a reaction section parameter obtaining module 604, configured to obtain a reaction section parameter at any burnup; wherein the reaction section parameter takes a water gap parameter to be optimized as a state variable;
and a theoretical power obtaining module 605, configured to solve the neutron diffusion equation according to the reaction cross-section parameter to obtain theoretical power distribution.
In one embodiment, the calculating module 602 is specifically configured to determine a correction factor by using the pre-obtained theoretical activity and the pre-obtained measured activity, and correct the theoretical power distribution by using the correction factor to obtain the measured power distribution.
In one embodiment, as shown in fig. 12, the prediction module 603 includes:
the power acquisition submodule 6031 is configured to perform next-step burnup power distribution calculation based on the optimal water gap parameter, and acquire average component power of the reactor core and average component power of each quadrant of the reactor core;
and the factor determination submodule 6032 is configured to determine a target inclination factor of each quadrant of the core according to the average component power of each quadrant of the core and the average component power of the core.
The various modules in the power tilt prediction apparatus described above may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 13. The computer device includes a processor, a memory, an Input/Output interface (I/O for short), and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The database of the computer apparatus is used to store optimal water gap parameters, power distribution, fuel assembly burn-up distribution data at any burn-up, average assembly power for each quadrant of the core, and average assembly power data for the core. The input/output interface of the computer device is used for exchanging information between the processor and an external device. The communication interface of the computer device is used for connecting and communicating with an external terminal through a network. The computer program is executed by a processor to implement a power tilt prediction method.
Those skilled in the art will appreciate that the architecture shown in fig. 13 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring the measurement activity under any burnup in the reactor core operation process;
performing iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to the parameters of the water gap to be optimized;
and performing power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
inputting the initial water gap parameter serving as a water gap parameter to be optimized into a target function to obtain the maximum difference value of theoretical power distribution and actual measurement power distribution;
and if the maximum difference value accords with the preset constraint condition, ending the iterative computation, and determining the water gap parameter to be optimized when the iterative computation is ended as the optimal water gap parameter.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
if the maximum difference value does not accord with the preset constraint condition, adjusting the water gap parameter to be optimized so as to update the water gap parameter to be optimized;
and inputting the updated water gap parameter to be optimized into the objective function for iterative calculation.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
obtaining reaction section parameters under any burnup; wherein the reaction section parameter takes a water gap parameter to be optimized as a state variable;
and solving a neutron diffusion equation according to the reaction section parameters to obtain theoretical power distribution.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
determining a correction factor by using the pre-acquired theoretical activity and the pre-acquired measured activity;
and correcting the theoretical power distribution by using the correction factor to obtain the actually measured power distribution.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
based on the optimal water gap parameters, performing next-step burnup power distribution calculation to obtain the average component power of the reactor core and the average component power of each quadrant of the reactor core;
and determining the target inclination factor of each quadrant of the reactor core according to the average component power of each quadrant of the reactor core and the average component power of the reactor core.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring the measurement activity under any burnup in the reactor core operation process;
performing iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to the parameters of the water gap to be optimized;
and performing power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
In one embodiment, the computer program when executed by the processor implements the steps of:
inputting the initial water gap parameter serving as a water gap parameter to be optimized into a target function to obtain the maximum difference value of theoretical power distribution and actual measurement power distribution;
and if the maximum difference value accords with the preset constraint condition, ending the iterative computation, and determining the water gap parameter to be optimized when the iterative computation is ended as the optimal water gap parameter.
In one embodiment, the computer program when executed by the processor implements the steps of:
if the maximum difference value does not accord with the preset constraint condition, adjusting the water gap parameter to be optimized so as to update the water gap parameter to be optimized;
and inputting the updated water gap parameter to be optimized into the objective function for iterative calculation.
In one embodiment, the computer program when executed by the processor implements the steps of:
obtaining reaction section parameters under any burnup; wherein the reaction section parameter takes a water gap parameter to be optimized as a state variable;
and solving a neutron diffusion equation according to the reaction section parameters to obtain theoretical power distribution.
In one embodiment, the computer program when executed by the processor implements the steps of:
determining a correction factor by using the pre-acquired theoretical activity and the pre-acquired measured activity;
and correcting the theoretical power distribution by using the correction factor to obtain the actually measured power distribution.
In one embodiment, the computer program when executed by the processor implements the steps of:
based on the optimal water gap parameters, performing next-step burnup power distribution calculation to obtain the average component power of the reactor core and the average component power of each quadrant of the reactor core;
and determining the target inclination factor of each quadrant of the reactor core according to the average component power of each quadrant of the reactor core and the average component power of the reactor core.
In one embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, performs the steps of:
acquiring the measurement activity under any burnup in the reactor core operation process;
performing iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measurement power distribution as a target, the actual measurement power distribution is determined according to the theoretical power distribution and the measurement activity, and the theoretical power distribution is determined according to a parameter of a water gap to be optimized;
and performing power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
In one embodiment, the computer program when executed by the processor implements the steps of:
inputting the initial water gap parameter serving as a water gap parameter to be optimized into a target function to obtain the maximum difference value of theoretical power distribution and actual measurement power distribution;
and if the maximum difference value accords with the preset constraint condition, ending the iterative computation, and determining the water gap parameter to be optimized when the iterative computation is ended as the optimal water gap parameter.
In one embodiment, the computer program when executed by the processor implements the steps of:
if the maximum difference value does not accord with the preset constraint condition, adjusting the water gap parameter to be optimized so as to update the water gap parameter to be optimized;
and inputting the updated water gap parameter to be optimized into the objective function for iterative calculation.
In one embodiment, the computer program when executed by the processor implements the steps of:
obtaining reaction section parameters under any neutron burnup; wherein the reaction section parameter takes a water gap parameter to be optimized as a state variable;
and solving a neutron diffusion equation according to the reaction section parameters to obtain theoretical power distribution.
In one embodiment, the computer program when executed by the processor implements the steps of:
determining a correction factor by using the pre-acquired theoretical activity and the pre-acquired measured activity;
and correcting the theoretical power distribution by using the correction factor to obtain the actually measured power distribution.
In one embodiment, the computer program when executed by the processor implements the steps of:
based on the optimal water gap parameters, performing next-step burnup power distribution calculation to obtain the average component power of the reactor core and the average component power of each quadrant of the reactor core;
and determining the target inclination factor of each quadrant of the reactor core according to the average component power of each quadrant of the reactor core and the average component power of the reactor core.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (10)
1. A method of power tilt prediction, the method comprising:
acquiring the measurement activity under any burnup in the reactor core operation process;
performing iterative solution according to the measured activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measured power distribution as a target, the actual measured power distribution is determined according to the theoretical power distribution and the measured activity, and the theoretical power distribution is determined according to a water gap parameter to be optimized;
and carrying out power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
2. The method according to claim 1, wherein the iteratively solving according to the activity and a pre-established objective function to obtain an optimal water gap parameter comprises:
inputting the initial water gap parameter serving as a water gap parameter to be optimized into the target function to obtain the maximum difference value of the theoretical power distribution and the measured power distribution;
if the maximum difference value accords with the preset constraint condition, the iterative calculation is ended, and the water gap parameter to be optimized when the iterative calculation is ended is determined as the optimal water gap parameter.
3. The method of claim 2, further comprising:
if the maximum difference value does not accord with the preset constraint condition, adjusting the water gap parameter to be optimized so as to update the water gap parameter to be optimized;
and inputting the updated water gap parameter to be optimized into the objective function for iterative calculation.
4. The method according to any one of claims 1-3, further comprising:
obtaining reaction section parameters under any burnup; wherein the reaction section parameter takes the water gap parameter to be optimized as a state variable;
and solving a neutron diffusion equation according to the reaction section parameters to obtain the theoretical power distribution.
5. The method of claim 1, wherein the measured power distribution is determined from the theoretical power distribution and the measured activity, comprising:
determining a correction factor by using the pre-acquired theoretical activity and the measured activity;
and correcting the theoretical power distribution by using the correction factor to obtain the actually measured power distribution.
6. The method of claim 1, wherein the performing power tilt prediction based on the optimal water gap parameter to obtain a target tilt factor comprises:
based on the optimal water gap parameters, performing next-step burnup power distribution calculation to obtain the average component power of the reactor core and the average component power of each quadrant of the reactor core;
and determining a target inclination factor of each quadrant of the reactor core according to the average assembly power of each quadrant of the reactor core and the average assembly power of the reactor core.
7. A power tilt prediction apparatus, characterized in that the apparatus comprises:
the activity acquisition module is used for acquiring the measurement activity under any fuel consumption in the reactor core operation process;
the calculation module is used for carrying out iterative solution according to the measurement activity and a pre-established objective function to obtain an optimal water gap parameter; the target function takes the maximum difference value of theoretical power distribution and actual measured power distribution as a target, the actual measured power distribution is determined according to the theoretical power distribution and the measured activity, and the theoretical power distribution is determined according to a water gap parameter to be optimized;
and the prediction module is used for carrying out power inclination prediction based on the optimal water gap parameter to obtain a target inclination factor.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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| CN202211328791.1A CN115660173A (en) | 2022-10-27 | 2022-10-27 | Power ramp prediction method, apparatus, device, storage medium and program product |
| PCT/CN2023/077341 WO2024087422A1 (en) | 2022-10-27 | 2023-02-21 | Power tilt prediction method and apparatus, device, storage medium, and program product |
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| WO2024087422A1 (en) * | 2022-10-27 | 2024-05-02 | 中广核研究院有限公司 | Power tilt prediction method and apparatus, device, storage medium, and program product |
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| JPH03246488A (en) * | 1990-02-26 | 1991-11-01 | Toshiba Corp | Fuel assembly for thermal neutron type reactor |
| CN1308962C (en) * | 2004-12-03 | 2007-04-04 | 大亚湾核电运营管理有限责任公司 | Method for inhibiting quadrantal power inclination of pressurized water reactor nuclear power station |
| CN115206563B (en) * | 2022-07-11 | 2024-06-04 | 中广核研究院有限公司 | Prediction method and device for reactor core power quadrant inclination factor and computer equipment |
| CN115660173A (en) * | 2022-10-27 | 2023-01-31 | 中广核研究院有限公司 | Power ramp prediction method, apparatus, device, storage medium and program product |
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