CN109817360B - Prediction method for predicting nuclear thermal power deviation and Gk parameter trend of RPN system - Google Patents
Prediction method for predicting nuclear thermal power deviation and Gk parameter trend of RPN system Download PDFInfo
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Abstract
The invention discloses a method for predicting nuclear thermal power deviation and trend of Gk parameters of an RPN system. The method comprises the following steps: respectively calculating the core power distribution of 40MWD/tU burnup per interval every day in the next week; respectively calculating the cumulative value of the power of the peripheral component corresponding to each measuring channel of the RPN system, wherein the cumulative value is obtained by cumulatively multiplying the power of the peripheral component normalized component in the reactor core power distribution by the corresponding weight factor; and selecting the nuclear power of each measurement channel of the current RPN system as reference power Pr0, taking the corresponding peripheral component power accumulated value as a reference peripheral component power accumulated value, calculating the ratio of the peripheral component power accumulated value to the reference peripheral component power accumulated value on a certain day in the future, and multiplying the ratio by the reference power to obtain the nuclear power predicted value Pr of each measurement channel of the RPN system, namely:
the prediction method can realize the prediction of the RPN system core power.
Description
Technical Field
The invention relates to the field of nuclear power generation, in particular to a method for predicting nuclear thermal power deviation and Gk parameter trend of an RPN system by a nuclear power station.
Background
Nuclear instrumentation Systems (RPNs) measure reactor power, power change rate, and axial distribution of power with a series of neutron detectors distributed outside the reactor pressure vessel, which are important systems directly related to reactor safety. The nuclear power indicated by four power ranges of the RPN system is one of the most important indexes for controlling the unit by an operator.
As the fuel consumption is deepened and the fuel consumption distribution is changed, the reactor power measured by each power range channel of the RPN system has larger deviation with the actual power (provided by a KME system with higher precision by a thermal balance method) or the reading of each channel, and the deviation can be corrected by modifying the power range Gk parameter of the RPN system.
At present, in a nuclear power plant, the indicated nuclear power of an RPN system is corrected by means of irregular calibration and modification of a Gk parameter (an artificially added gain coefficient of the nuclear power of the RPN system). A physical tester of the reactor core of the power station executes reactor core parameter tracking once a day, wherein the deviation of the nuclear power indicated by a RPN system of a unit, the information of a computer of the power station and the thermal power indicated by a control system (KIC system) is calculated, and when the deviation of the nuclear thermal power reaches a judgment standard of 1.5 percent FP, a Gk parameter calibration test needs to be executed, and the parameters are calibrated and adjusted again. When the Gk parameter calibration test is executed, if the Gk parameter value is found to exceed the range of 0.95-1.05, the RPN system power range coefficient periodic calibration test needs to be executed.
Therefore, the nuclear thermal power deviation and the Gk parameter trend of a future unit are predicted by a certain technical means, and the Gk parameter calibration time node is early warned in advance, so that the nuclear power site planning work arrangement is facilitated, and the human error risk is reduced as much as possible; meanwhile, monitoring of the power variation trend of the reactor core is enhanced, parameter calibration can be completed in time, the nuclear power display precision is improved, the safety of the reactor core is guaranteed, and the generating allowance of a unit is excavated.
At present, a prediction method for nuclear power station nuclear thermal power deviation or RPN system Gk parameter trend prediction is not available at home.
The general method is that the deviation of the nuclear thermal power is not predicted, and when the deviation of the nuclear thermal power is counted every day, if the deviation reaches a certain limit value or standard, the Gk parameter calibration and adjustment test is temporarily prepared to be executed; if the calculated Gk parameter value is found to be out of the range of 0.95-1.05 when Gk parameter calibration is executed, the periodic scale test of the RPN system power range coefficient needs to be temporarily prepared to be executed.
Problems and disadvantages of the prior art:
the unit nuclear thermal power deviation or the prediction of the trend of the Gk parameter of the RPN system is lacked, which brings much inconvenience to the planning work arrangement of the nuclear power station and increases the risk of human error. Especially, the field adjustment of the Gk parameter is high-risk operation, and if the optimal working window cannot be planned in advance and reserved, great risk is caused; in addition, the periodic scale test of the power range coefficient of the RPN system has strict requirements on test conditions, causes great disturbance to the reactor core, and brings great influence to on-site work arrangement if the most appropriate working window cannot be planned and reserved in advance.
Lack of prediction on the thermal power deviation of the unit nuclear or the trend of the Gk parameter of the RPN system can cause delay of Gk parameter calibration response, thus being not beneficial to reactor core safety and possibly losing a certain power generation allowance.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide a prediction method for predicting nuclear thermal power deviation and Gk parameter trend of an RPN system, which develops a brand-new nuclear power change rule tracking system by researching the nuclear power detection principle of the RPN system and the behavior of leakage neutrons under different reactor core power distributions, thereby realizing the prediction of the nuclear power of the RPN system; the thermal power of the KIC system is predicted by a numerical prediction method through research on a thermal power change model indicated for the KIC system; on the basis, the prediction of the nuclear thermal power deviation and the prediction of the change of the GK parameter of the RPN system are realized.
In order to achieve the purpose, the invention provides a prediction method for predicting the nuclear thermal power deviation and the trend of Gk parameters of an RPN system, which comprises the step of predicting the nuclear power values indicated by four channels of the RPN system in a future week.
In a preferred embodiment, the step of predicting the four channel indicated core power values of the RPN system in a future week includes: respectively calculating the power distribution of the reactor core at certain burning intervals every day in the future week; respectively calculating the cumulative value of the power of the peripheral component corresponding to each measuring channel of the RPN system, wherein the cumulative value is obtained by cumulatively multiplying the power of the peripheral component normalized component in the reactor core power distribution by the corresponding weight factor; and selecting the nuclear power of each measurement channel of the current RPN system as reference power Pr0, taking the corresponding peripheral component power accumulated value as a reference peripheral component power accumulated value, calculating the ratio of the peripheral component power accumulated value to the reference peripheral component power accumulated value on a certain day in the future, and multiplying the ratio by the reference power to obtain the nuclear power predicted value Pr of each measurement channel of the RPN system, namely:
in a preferred embodiment, the core power distribution per interval burn-up is a core power distribution per interval 40MWD/tU burn-up.
In a preferred embodiment, the prediction method for predicting the nuclear thermal power deviation and the trend of the Gk parameter of the RPN system further comprises the step of estimating the value of the indicated thermal power of the KIC system in the future week.
In a preferred embodiment, the step of estimating the value of the indicated thermal power of the KIC system in the future week comprises: selecting the average value of the thermal power of the unit tracking a period of time in the current reactor core every day as the reference thermal power; judging the future nuclear power drift trend according to the theoretical reactor core power distribution calculation result, and if the nuclear power drifts forwards, estimating the thermal power value as the reference thermal power minus 0.1% FP; if the nuclear power drifts negatively, the thermal power value is estimated as the reference thermal power plus 0.1% FP.
In a preferred embodiment, the reference thermal power is the average value of the thermal powers of the selected current daily core tracking 20min plant.
In a preferred embodiment, the method for predicting the thermal power deviation of the core and the trend of the Gk parameter of the RPN system further comprises the step of calculating a predicted value of the thermal power deviation of the core in the future week.
In a preferred embodiment, the step of calculating the predicted value of the deviation of the core thermal power in the future week comprises: and respectively calculating the absolute values of the difference values of the predicted nuclear power values of the four power range channels of the RPN system and the predicted thermal power value of the KIC system every day in the future week, and taking the maximum value in the absolute values of the deviation as the predicted nuclear thermal power deviation value at the moment.
In a preferred embodiment, the prediction method for predicting the nuclear thermal power deviation and the trend of the Gk parameters of the RPN system further comprises the step of calculating the predicted value of the Gk parameters in the future week.
In a preferred embodiment, the step of calculating the predicted value of the Gk parameter in the future week comprises the following formula: gk predicted value ═ Gk set value × (Pth/Prk); wherein: the Gk predicted value is a Gk parameter predicted value; the Gk set value is the actual set value of the field RPN system; pth is an estimated value of the heat power of the KIC system; prk is the predicted value of the kernel power of the K channel of the RPN system (K is 1,2,3, 4).
Compared with the prior art, the prediction method for predicting the nuclear thermal power deviation and the Gk parameter trend of the RPN system has the following beneficial effects: the unit nuclear thermal power deviation and the trend of the Gk parameter of the RPN system are predicted, technical support can be provided for planning work arrangement of a power station, Gk parameter calibration and adjustment can be conveniently arranged in advance, and even a periodic scale test execution window of the power range coefficient of the RPN system is obtained.
Drawings
FIG. 1 is a graph of peripheral component versus RPN system proximity probe response weight distribution for a method of predicting nuclear thermal power deviation and trend of parameters Gk of an RPN system in accordance with an embodiment of the present invention.
Fig. 2a is a comparison graph of peripheral component power variation and core power variation of a prediction method for predicting a nuclear thermal power deviation and a trend of a Gk parameter of an RPN system according to an embodiment of the present invention.
Fig. 2b is a comparison graph of peripheral component power variation and core power variation of a prediction method for predicting a nuclear thermal power deviation and a trend of a Gk parameter of an RPN system according to an embodiment of the present invention.
Fig. 3 is a comparison of a flow chart of a prediction method for predicting nuclear thermal power deviation and trend of Gk parameters of an RPN system according to an embodiment of the present invention and a flow chart of a prior art prediction method.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
When the unit operates at stable power, along with the deepening of fuel consumption and the change of fuel consumption distribution, the nuclear power measured by each power range channel of the RPN system changes due to the change of the number of leakage neutrons and presents a certain change rule, namely, the nuclear power of the RPN system drifts regularly.
According to the prediction method, a brand-new nuclear power change rule tracking system is developed by researching the nuclear power detection principle of the RPN system and the leakage neutron behaviors under different power distributions, so that the nuclear power of the RPN system is predicted; the thermal power of the KIC system is predicted by a certain numerical prediction method through research on a thermal power change model indicated for the KIC system; on the basis, the prediction of the nuclear thermal power deviation and the prediction of the change of the GK parameter of the RPN system are realized.
The main purposes of the prediction method are two:
the method has the advantages that firstly, the unit nuclear thermal power deviation and the trend of the Gk parameter of the RPN system are predicted, technical support is provided for planning work arrangement of a power station, Gk parameter calibration and adjustment are convenient to arrange in advance, and even a periodic scale test execution window of the power range coefficient of the RPN system is provided.
Secondly, the nuclear thermal power deviation of the unit and the Gk parameter trend of the RPN system are predicted, the monitoring of the reactor core power is enhanced, the nuclear power of the RPN system can be calibrated in time, the nuclear safety is guaranteed, the generating margin of the unit is excavated, and the generating capacity of the unit is increased.
The method for predicting the nuclear thermal power deviation and the trend of the Gk parameter of the RPN system comprises a step of predicting the nuclear power value indicated by four channels of the RPN system in the future week, a step of estimating the KIC system indicated thermal power value in the future week, a step of calculating the predicted value of the nuclear thermal power deviation in the future week and a step of calculating the predicted value of the Gk parameter in the future week.
In some embodiments, the method for predicting the number of indicated core power values for four channels of the RPN system in a future week comprises: respectively calculating the core power distribution of 40MWD/tU burnup per interval every day in the next week; respectively calculating the cumulative value of the power of the peripheral component corresponding to each measuring channel of the RPN system, wherein the cumulative value is obtained by cumulatively multiplying the power of the peripheral component normalized component in the reactor core power distribution by the corresponding weight factor; and selecting the nuclear power of each measurement channel of the current RPN system as reference power Pr0, taking the corresponding peripheral component power accumulated value as a reference peripheral component power accumulated value, calculating the ratio of the peripheral component power accumulated value to the reference peripheral component power accumulated value on a certain day in the future, and multiplying the ratio by the reference power to obtain the nuclear power predicted value Pr of each measurement channel of the RPN system, namely:
the nuclear instrumentation system (RPN) power range is composed of 4 measurement channels distributed outside the core, and the detector of each measurement channel is an uncompensated boron-coated ionization chamber. Neutrons leaked out from the core strike the detector and react with boron in the detector to generate alpha particles, and finally output current is generated, and the current magnitude can indicate the power level in the core. According to the detection principle, the change rule of the nuclear power indicated by the RPN system can be directly influenced by the change of the reactor core leakage neutrons, namely, the change of the reactor core neutron flux level and the reactor core power distribution.
Through counting the nuclear power change and Gk parameter calibration data of a plurality of cycles of two units of urban harbor nuclear power, the results of field flux diagram measurement test are found: the RPN system indicates that nuclear power changes are primarily affected by power changes in 17 peripheral components of the core adjacent to the RPN detectors. Referring to fig. 1, fig. 1 is a diagram illustrating a peripheral component to RPN system proximity detector response weight distribution of a prediction method for predicting nuclear thermal power deviation and trend of Gk parameters of an RPN system according to an embodiment of the present invention.
After the power of the peripheral component in a certain cycle of a certain unit is weighted and accumulated according to the weight, the power change of the peripheral component is in direct proportion to the change of the nuclear power and in inverse proportion to the adjustment trend of the Gk parameter. Referring to fig. 2a to 2b and fig. 3, fig. 2a is a comparison diagram of the peripheral component power variation and the core power variation of the prediction method for predicting the nuclear thermal power deviation and the trend of the Gk parameters of the RPN system according to an embodiment of the present invention. Fig. 2b is a comparison graph of peripheral component power variation and core power variation of a prediction method for predicting a nuclear thermal power deviation and a trend of a Gk parameter of an RPN system according to an embodiment of the present invention. Fig. 3 is a comparison of a flow chart of a prediction method for predicting nuclear thermal power deviation and trend of Gk parameters of an RPN system according to an embodiment of the present invention and a flow chart of a prior art prediction method.
Based on the research findings, the core power change can be completely predicted by calculating the power distribution change of the peripheral components, so as to predict the future core power value.
When the unit operates at stable power, the KIC system indicates that the thermal power has certain fluctuation, the fluctuation is influenced by a plurality of variables such as the temperature of a cold leg and a hot leg of a loop, the rotating speed of a main pump, the flow of the loop and the like, and the overall fluctuation condition follows a normal distribution rule. In addition, according to historical statistical data, the thermal power fluctuation is small, and the fluctuation does not exceed the range of 0.1% FP generally.
According to statistical data, the thermal power fluctuation is far smaller than the nuclear power fluctuation, and the thermal power fluctuation amplitude is also far smaller than the nuclear thermal power deviation control standard. For convenience of statistics and for ensuring the conservatism of the calculation of the nuclear thermal power deviation, when the prediction of the nuclear thermal power deviation and the prediction of the Gk parameter of the RPN system are considered, the thermal power can be estimated according to the following method:
in some embodiments, the step of estimating the value of the indicated thermal power of the KIC system in the future week may be performed next, and includes:
selecting the average value of the thermal power of the current unit tracking 20min of reactor core each day as the reference thermal power;
judging the future nuclear power drift trend according to the theoretical reactor core power distribution calculation result, and if the nuclear power drifts forwards, estimating the thermal power value as the reference thermal power minus 0.1% FP; if the nuclear power drifts negatively, the thermal power value is estimated as the reference thermal power plus 0.1% FP.
In some embodiments, the step of calculating the predicted thermal power deviation of the core for the next week may be performed, and includes:
and respectively calculating the absolute values of the difference values of the predicted nuclear power values of the four power range channels of the RPN system and the predicted thermal power value of the KIC system every day in the future week, and taking the maximum value in the absolute values of the deviation as the predicted nuclear thermal power deviation value at the moment.
In some embodiments, the step of calculating the predicted value of the Gk parameter in the next week may be performed by: gkPrediction value＝GkSet valueAnd (Pth/Prk), calculating the predicted value of the Gk parameter in the future week by using the formula. Wherein: gkPrediction valueThe predicted value of the Gk parameter is obtained; gkSet valueThe actual set value is the actual set value of the field RPN system; pth is an estimated value of the heat power of the KIC system; prk is the predicted value of the kernel power of the K channel of the RPN system (K is 1,2,3, 4).
In summary, the prediction method for predicting the nuclear thermal power deviation and the trend of the Gk parameter of the RPN system has the following advantages:
the unit nuclear thermal power deviation and the trend of the Gk parameter of the RPN system are predicted, technical support is provided for planning work arrangement of a power station, Gk parameter calibration and adjustment can be conveniently arranged in advance, and even a periodic scale test execution window of the power range coefficient of the RPN system is provided.
The nuclear thermal power deviation of the unit and the Gk parameter trend of the RPN system are predicted, the core power monitoring is enhanced, the nuclear power of the RPN system can be calibrated in time, the nuclear safety is guaranteed, the generating allowance of the unit is excavated, and the generating capacity of the unit is increased.
The prediction method is applied to the second cycle of a second unit of a certain nuclear power plant at present. For example, in the period of 2018.7-12 months, the prediction of the nuclear thermal power deviation and the trend of the Gk parameter of the unit for one week in the future is executed once every three weeks, and the prediction of the nuclear thermal power deviation and the prediction of the Gk parameter for 25 weeks in total are completed, wherein the prediction of the nuclear thermal power deviation and the prediction of the Gk parameter for one week in the future are successfully completed, technical personnel are successfully helped to early warn 4 times of nuclear thermal power deviation overrun, the technical personnel are promoted to strengthen the monitoring of the reactor core state, plan window arrangement is coordinated in advance, corresponding Gk parameter calibration work is completed, and obvious assistance is provided for guaranteeing the reactor core safety and improving the generating capacity of the unit.
For example, taking the two parameter and trend predictions executed in 2018 on days 11, 21 and 28, 11 and 28 as examples, the predicted nuclear thermal power deviation (maximum value of predicted nuclear thermal power deviation of four power range channels of the RPN system) and the parameter value of the RPN system "Gk" are as follows:
according to the summary requirement of a nuclear thermal power deviation control meeting of the power plant, the nuclear thermal power control standard of the unit of the number 2 unit of the nuclear power plant is 1.0% FP during the period, when the nuclear thermal power deviation exceeds 1.0% FP, the unit needs to execute an RPN8 test, and the GK parameter is calibrated and modified again.
From the predicted values, the predicted value of the thermal power deviation of the nuclear of the unit exceeds 1.0% FP at 2018.12.1 days and 2018.12.2 days, namely the predicted value reaches the standard that the unit needs to execute an RPN8 test. Therefore, the power plant technicians strengthen the core state monitoring in the days, closely track the actual nuclear thermal power deviation change condition of the unit, and make RPN8 test and GK parameter field modification test field execution window arrangement in advance in cooperation with the power plant operation and planning personnel. At 2018.12.2, when the maximum value of the actual nuclear thermal power deviation of the unit reaches 1.225% FP, the maximum value deviates from the predicted out-of-limit date (2018.12.1 days) of the nuclear thermal power deviation of the unit by only one day, and the predicted deviation value is very close to the actual deviation value on site. The plant technician then completed the RPN8 test site implementation the day 2018.12.2 and completed the site modification for the new GK parameters. After the unit completes the modification of the new Gk parameter, the maximum indicated value in the four channels of the nuclear power of the unit is reduced by about 1.23% FP, and the operator then performs power boosting operation on the unit to boost the electric power by 2 MWe.
From the discovery that the real nuclear thermal power deviation of the unit exceeds the limit, the on-site GK parameter is re-calibrated and modified, the power of the unit is improved, and the unit is seamlessly connected and smoothly implemented in one day. Compared with the method, the method shortens the discovery time of the out-of-limit of the nuclear thermal power deviation of the unit, greatly improves the response efficiency of Gk parameter calibration and modification of the nuclear power plant, effectively ensures the timeliness and effectiveness of nuclear power calibration of the power plant, is beneficial to planning work arrangement and on-site monitoring of the nuclear power, and provides assistance for improving the generating capacity of the unit.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (4)
1. A prediction method for predicting nuclear thermal power deviation and trend of Gk parameter of an RPN system is characterized by comprising the step of predicting four channel indication nuclear power values of the RPN system in a future week, and comprises the following steps:
respectively calculating the power distribution of the reactor core at certain burning intervals every day in the future week;
respectively calculating the cumulative value of the power of the peripheral component corresponding to each measuring channel of the RPN system, wherein the cumulative value is obtained by cumulatively multiplying the power of the peripheral component normalized component in the reactor core power distribution by the corresponding weight factor;
the nuclear power of each measurement channel of the current RPN system is selected as a reference power Pr0, the corresponding peripheral component power accumulated value is a reference peripheral component power accumulated value, then the ratio of the peripheral component power accumulated value to the reference peripheral component power accumulated value calculated on a certain day in the future is multiplied by the reference power, and thus the nuclear power predicted value Pr of each measurement channel of the RPN system is obtained, namely:
estimating the value of the indicated thermal power of the KIC system in the future week;
calculating a thermal power deviation predicted value of the kernel in the future week, wherein the step of calculating the thermal power deviation predicted value of the kernel in the future week comprises the following steps: respectively calculating the absolute values of the difference values of the predicted nuclear power values of the four power range channels of the RPN system and the predicted thermal power value of the KIC system every day in the future week, and taking the maximum value in the absolute values of the deviation as the predicted nuclear thermal power deviation value at the moment; and
calculating a predicted value of the Gk parameter in the future week, wherein the step of calculating the predicted value of the Gk parameter in the future week comprises the following formula:
Gkprediction value＝GkSet value×(Pth/Prk)
Wherein: gkPrediction valueThe predicted value of the Gk parameter is obtained; gkSet valueThe actual set value is the actual set value of the field RPN system; pth is an estimated value of the heat power of the KIC system; prk is the predicted value of the kernel power of the k channel of the RPN system (k is 1,2,3, 4).
2. The method of predicting nuclear thermal power bias and the trend of the Gk parameters of an RPN system of claim 1, wherein the core power distribution per interval burnup is a core power distribution per interval of 40MWD/tU burnup.
3. The method of predicting nuclear thermal power bias and trend of parameters Gk of an RPN system of claim 1 wherein said step of estimating the indicated thermal power value of the KIC system in a future week comprises:
selecting the average value of the thermal power of the unit tracking a period of time in the current reactor core every day as the reference thermal power; and
judging the future nuclear power drift trend according to the theoretical reactor core power distribution calculation result, and if the nuclear power drifts forwards, estimating the thermal power value as the reference thermal power minus 0.1% FP; if the nuclear power drifts negatively, the thermal power value is estimated as the reference thermal power plus 0.1% FP.
4. The method of predicting nuclear thermal power bias and RPN system Gk parameter trends of claim 3 wherein the baseline thermal power is a selected current daily core tracking 20min plant thermal power average.
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