CN113586323B - Unsteady-state hydroelectric generating set starting sequence determining method, device and storage medium - Google Patents
Unsteady-state hydroelectric generating set starting sequence determining method, device and storage medium Download PDFInfo
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Abstract
The disclosure provides a method, a device and a storage medium for determining a starting sequence of an unsteady-state hydroelectric generating set, wherein the method comprises the following steps: determining a first starting-up sequence of the plurality of hydroelectric generating sets according to the health degrees respectively corresponding to the plurality of hydroelectric generating sets, determining a second starting-up sequence of the plurality of hydroelectric generating sets according to the operation states respectively corresponding to the plurality of hydroelectric generating sets, determining accumulated operation time of the plurality of hydroelectric generating sets deviating from an optimal working condition respectively, and determining a target starting-up sequence of the plurality of hydroelectric generating sets under an unsteady working condition according to the first starting-up sequence, the second starting-up sequence and the accumulated operation time. The hydraulic power plant can be guaranteed to reasonably operate under the condition of deviating from the optimal working condition, and the service life of the hydroelectric generating set and the economic value of the hydraulic power plant are prolonged.
Description
Technical Field
The disclosure relates to the technical field of hydropower plant equipment, in particular to a method and a device for determining a starting sequence of an unsteady-state hydroelectric generating set and a storage medium.
Background
At present, no clear study exists for the sequence management of the startup and shutdown of a plurality of hydroelectric generating sets in a certain plant station, and the startup and shutdown of the hydroelectric generating sets are only judged subjectively by operators on duty. In addition, under the condition of deviating from good working conditions (such as unit voltage regulation, no-load operation and operation in an un-recommended interval), the start-up sequence is mainly judged by an operator on duty.
However, the staff has a large difference in understanding the status of the equipment, and the definitions of the defects of the equipment are not completely the same among different staff, so that the control of the starting sequence of the different staff has a large difference. Therefore, under the unsteady state working condition, a reasonable starting sequence cannot be determined, and the service life of the hydroelectric generating set and the economic value of a hydropower plant are influenced.
Disclosure of Invention
The application provides a method, a device and a storage medium for determining the starting sequence of an unsteady-state hydroelectric generating set, and aims to solve one of the technical problems in the related art at least to a certain extent.
An embodiment of a first aspect of the present application provides a method for determining a startup sequence of an unsteady-state hydroelectric generating set, including: determining a first starting sequence of the plurality of hydroelectric generating sets according to the health degrees corresponding to the plurality of hydroelectric generating sets respectively; determining a second starting sequence of the plurality of water-turbine generator sets according to the corresponding operation states of the plurality of water-turbine generator sets; respectively determining accumulated running time of the plurality of water-turbine generator sets deviating from the optimal working condition; and determining the target starting-up sequence of the plurality of hydroelectric generating sets under the unsteady state working condition according to the first starting-up sequence, the second starting-up sequence and the accumulated running time.
An embodiment of a second aspect of the present application provides a device for determining a startup sequence of an unsteady-state hydroelectric generating set, including: the first sequencing module is used for determining a first starting sequence of the plurality of water-turbine generator sets according to the health degrees corresponding to the plurality of water-turbine generator sets respectively; the second sequencing module is used for determining a second starting sequence of the plurality of water-turbine generator sets according to the corresponding operation states of the plurality of water-turbine generator sets; the first determining module is used for respectively determining the accumulated running time of the plurality of water-turbine generator sets deviating from the optimal working condition; and the third sequencing module is used for determining the target starting-up sequence of the plurality of water-turbine generator sets under the unsteady state working condition according to the first starting-up sequence, the second starting-up sequence and the annual accumulated running time.
An embodiment of a third aspect of the present application provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor, so that the at least one processor can execute the method for determining the starting-up sequence of the unsteady-state hydroelectric generating set.
An embodiment of a fourth aspect of the present application proposes a non-transitory computer-readable storage medium storing computer instructions, where the computer instructions are configured to cause the computer to execute the method for determining a startup sequence of an unsteady-state hydroelectric generating set disclosed in the embodiment of the present application.
In this embodiment, a first startup sequence of the plurality of hydro-generator sets is determined according to health degrees respectively corresponding to the plurality of hydro-generator sets, a second startup sequence of the plurality of hydro-generator sets is determined according to operation states respectively corresponding to the plurality of hydro-generator sets, accumulated operation time of the plurality of hydro-generator sets deviating from an optimal working condition is respectively determined, and a target startup sequence of the plurality of hydro-generator sets under an unsteady working condition is determined according to the first startup sequence, the second startup sequence and the accumulated operation time. Therefore, the target starting-up sequence of the plurality of hydroelectric generating sets under the unsteady state working condition can be determined by combining the health degree, the running state, the accumulated running time deviating from the optimal working condition and other factors of the hydroelectric generating sets, the hydroelectric generating sets can be reasonably operated under the off-optimal working condition, and the service life of the hydroelectric generating sets and the economic value of the hydroelectric generating sets are prolonged. And further solves the technical problems that the reasonable starting sequence cannot be determined under the unsteady state working condition in the related technology, so that the service life of the hydroelectric generating set and the economic value of a hydropower plant are influenced.
Additional aspects and advantages of the disclosure will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure.
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The foregoing and/or additional aspects and advantages of the present disclosure will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a method for determining a startup sequence of an unsteady-state hydroelectric generating set according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a method for determining a startup sequence of an unsteady-state hydroelectric generating set according to another embodiment of the present disclosure;
FIG. 3a is a two-dimensional distribution of hydro-generator stator heat generation data in accordance with an embodiment of the disclosure;
FIG. 3b is a schematic diagram of a second load zone of a stator according to an embodiment of the present disclosure;
FIG. 3c is a schematic illustration of a value interval of a second load zone of a stator according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of an unsteady-state hydro-generator set startup sequence determining device according to another embodiment of the present disclosure;
fig. 5 is a schematic diagram of an unsteady-state hydro-generator set startup sequence determining device according to another embodiment of the present disclosure;
fig. 6 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present application.
Detailed Description
Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the disclosure include all alternatives, modifications, and equivalents as may be included within the spirit and scope of the appended claims.
Aiming at the technical problem that in the background art, a reasonable starting sequence cannot be determined under the unsteady state working condition, so that the service life of the hydroelectric generating set and the economic value of a hydropower plant are influenced, the technical scheme of the embodiment provides a method for determining the starting sequence of the unsteady state hydroelectric generating set, and the method is described below with reference to specific embodiments.
It should be noted that, the execution body of the method for determining the starting-up sequence of the non-steady-state hydroelectric generating set in this embodiment may be a device for determining the starting-up sequence of the non-steady-state hydroelectric generating set, where the device may be implemented in a software and/or hardware manner, and the device may be configured in an electronic device, where the electronic device may include, but is not limited to, a terminal, a server, and the like.
Fig. 1 is a flowchart of a method for determining a startup sequence of an unsteady-state hydroelectric generating set according to an embodiment of the present disclosure, as shown in fig. 1, the method includes:
s101: and determining a first starting sequence of the plurality of hydroelectric generating sets according to the health degrees respectively corresponding to the plurality of hydroelectric generating sets.
The plurality of hydroelectric generating sets are arranged in the hydropower station and used for generating hydropower, the number of the plurality of hydroelectric generating sets can be determined according to the scale of the hydropower station, and the hydropower station is not limited.
The health degree may represent the equipment health condition of each hydro-generator set, for example: the degree of health may be indicated by rotor cavitation, cracking, unabated defects, and any other possible condition, without limitation.
The plurality of hydro-generator sets may be ordered according to the health degree, and the obtained sequence may be referred to as a first starting-up sequence, for example: the first startup sequence is obtained by sequencing the plurality of water turbine generator sets from high to low according to the health degree, that is, the startup sequence of the plurality of water turbine generator sets can be determined according to the health degree of the water turbine generator sets.
For example, a plurality of hydro-generator sets such as: unit 1, unit 2, unit 3, unit 4 and unit 5, a first start-up sequence is for example: unit 1, unit 2, unit 3, unit 4 and unit 5.
S102: and determining a second starting sequence of the plurality of water-turbine generator sets according to the corresponding running states of the plurality of water-turbine generator sets.
After the first startup sequence is determined, further, the embodiment of the disclosure may further determine a second startup sequence of the plurality of hydro-turbo generator sets according to the operation states corresponding to the plurality of hydro-turbo generator sets respectively.
The running state is used for describing state characteristics in the running process of the water turbine generator set, for example: the component heating characteristics, component runout characteristics, and any other possible status characteristics are not limiting herein.
And the plurality of hydro-generator sets are ordered according to the operation state, the obtained sequence may be referred to as a second starting-up sequence, for example: the second startup sequence is obtained by sequencing the plurality of hydro-turbo generator sets from low to high according to the operation state, that is, the startup sequence of the plurality of hydro-turbo generator sets may be determined according to the operation state of the hydro-turbo generator sets, where the second startup sequence is as follows: unit 4, unit 1, unit 2, unit 3, unit 5.
S103: and respectively determining the accumulated running time of the plurality of water-turbine generator sets deviating from the optimal working condition.
Further, the accumulated running time of the plurality of hydro-generator sets deviating from the optimal working condition is respectively determined, wherein the deviation from the optimal working condition is as follows: the unit voltage regulation, no-load operation, operation in an un-recommended section, etc., and the accumulated operation time may be an annual accumulated operation time, or may also be an accumulated operation time calculated from the time of installation, which is not limited herein. That is, the operation time of each hydro-generator set, which deviates from the optimal working condition every year, is calculated respectively.
The steps S101, S102, and S103 may be performed simultaneously or in random order, without limitation.
S104: and determining the target starting-up sequence of the plurality of hydroelectric generating sets under the unsteady state working condition according to the first starting-up sequence, the second starting-up sequence and the accumulated running time.
In some embodiments, the time difference between the longest aggregate run time and the shortest aggregate run time may be calculated. In practical application, a plurality of hydroelectric generating sets: the cumulative operation time corresponding to the unit 1, the unit 2, the unit 3, the unit 4 and the unit 5 can be respectively represented by TL1, TL2, TL3, TL4 and TL5, and then the unit with the longest cumulative operation time can be represented by tlmax=max { TL1, TL2, TL3, TL4 and TL5}, and the unit with the shortest cumulative operation time can be represented by tlmin=min { TL1, TL2, TL3, TL4 and TL5}, and the time difference value=tlmax-TLmin. Further, the time difference value is compared with a preset threshold value, and whether the time difference value is larger than or equal to the preset threshold value is judged. The preset threshold value can be flexibly determined according to an actual application scene, for example: and if the preset threshold value is equal to 100 hours, judging whether the time difference value is greater than or equal to the preset threshold value, namely: whether the time difference value +.100 is true or not is judged. If the time difference is greater than or equal to the preset threshold (100 hours), the longest unit of accumulated running time in the first starting sequence is moved to the last starting position to obtain a third starting sequence, for example: the longest unit of the accumulated running time is unit 2 (150 hours of the accumulated running time), and the shortest unit of the accumulated running time is unit 3 (30 hours of the accumulated running time), the time difference is equal to or larger than 100. In this case, the longest unit of accumulated running time in the first startup sequence (i.e., unit 2) is moved to the last startup position, and the corresponding third startup sequence is: and if not, taking the first starting sequence as a third starting sequence, namely, if the time difference value is not greater than or equal to a preset threshold value, taking the first starting sequence as the third starting sequence.
In other embodiments, before determining the third starting-up sequence according to the accumulated running time, the running state and defect type of each unit can be determined, if the unit has a type A defect (such as that serious defect causes no work), or the unit is in a maintenance state or in a shutdown and defect elimination state, the unit is removed from the first starting-up sequence and is prompted; if the unit has B-type defects (such as general defects, can work), the unit is moved to a last starting position so as to realize adjustment of the first starting sequence.
Further, determining target startup orders of the plurality of hydroelectric generating sets under the unsteady state working condition according to the second startup order, the third startup order and the third weight values respectively corresponding to the second startup order and the third startup order.
For example, the second power-on sequence (set 4, set 1, set 2, set 3, set 5) may be denoted by Y, the third power-on sequence (set 1, set 3, set 4, set 5, set 2) may be denoted by J, the third weight value of the second power-on sequence Y is 0.3, the third weight value of the third power-on sequence J is 0.7, the score q=0.7j+0.3y of each hydroelectric generating set, and then the multiple hydroelectric generating sets are ordered from small to large according to Q to obtain the target power-on sequence, for example: unit 1, unit 4, unit 3, unit 5, unit 2. Thus, the target power-on sequence may have different emphasis, such as: the health degree, or the running state and the like can be strategically biased in the starting process, so that the target starting sequence can be flexibly determined according to different weight values.
In this embodiment, a first startup sequence of the plurality of hydro-generator sets is determined according to health degrees respectively corresponding to the plurality of hydro-generator sets, a second startup sequence of the plurality of hydro-generator sets is determined according to operation states respectively corresponding to the plurality of hydro-generator sets, accumulated operation time of the plurality of hydro-generator sets deviating from an optimal working condition is respectively determined, and a target startup sequence of the plurality of hydro-generator sets under an unsteady working condition is determined according to the first startup sequence, the second startup sequence and the accumulated operation time. Therefore, the target starting-up sequence of the plurality of hydroelectric generating sets under the unsteady state working condition can be determined by combining the health degree, the running state, the accumulated running time deviating from the optimal working condition and other factors of the hydroelectric generating sets, the hydroelectric generating sets can be reasonably operated under the off-optimal working condition, and the service life of the hydroelectric generating sets and the economic value of the hydroelectric generating sets are prolonged. And further solves the technical problems that the reasonable starting sequence cannot be determined under the unsteady state working condition in the related technology, so that the service life of the hydroelectric generating set and the economic value of a hydropower plant are influenced.
Fig. 2 is a flowchart of a method for determining a startup sequence of an unsteady-state hydroelectric generating set according to another embodiment of the present disclosure, as shown in fig. 2, the method includes:
S201: and respectively obtaining the cavitation quantity, the crack length and the untreated defect quantity of the rotating wheel within the preset time of the plurality of water-turbine generator sets.
According to the embodiment of the disclosure, the number of cavitation erosion of the runner, the crack length of the runner and the number of unprocessed defects in a preset time of a plurality of hydroelectric generating sets are respectively obtained first.
The predetermined time may be a maintenance period, that is, the number of cavitation of the rotor, the length of cracks of the rotor, and the number of unprocessed defects found during maintenance may be obtained.
S202: and determining cavitation grades corresponding to the cavitation quantity of the rotating wheel, crack grades corresponding to the crack length of the rotating wheel and defect grades corresponding to the quantity of unprocessed defects according to a preset grade rule.
For example, cavitation may be classified into 5 levels according to the number of cavitation from low to high, and the cavitation numbers corresponding to the 5 levels are in sequence: 0 to 19, 20 to 50, 50 to 100, 100 to 200, more than 200, unit: and each. And determining cavitation levels corresponding to the cavitation numbers of the rotating wheels of each hydroelectric generating set according to the levels.
The crack can be divided into 5 grades according to the lengths of the cracks from low to high, and the lengths of the cracks corresponding to the 5 grades are sequentially as follows: 0 to 29, 30 to 79, 80 to 149, 150 to 300, more than 300 units: mm. And determining the crack grade corresponding to the crack length of each hydroelectric generating set according to the grade.
Untreated defects can be classified into three types A, B, C defects, and if a group of type a defects exists, the group is deleted in the first power-on sequence (i.e., does not participate in the ordering); if the group B defects exist, arranging the group to the last starting position of the first starting sequence; if the C-type defect exists, the number of the C-type defects is taken as the defect grade.
S203: and determining the health degrees corresponding to the plurality of water-turbine generator sets respectively according to the cavitation grade, the crack grade, the defect grade and the first weight values corresponding to the cavitation grade, the crack grade and the defect grade.
The cavitation grade, the crack grade and the defect grade can be respectively corresponding to a first weight value, and in the process of determining the health degree, the weighted calculation can be performed according to the cavitation grade, the crack grade and the defect grade of each hydroelectric generating set and the respectively corresponding first weight value, so that the obtained value is used as the health degree of each hydroelectric generating set.
For example, the cavitation grade may be denoted by Zq, and the first weight value corresponding to the cavitation grade is 0.2; the crack level may be represented by Zl, and the first weight value corresponding to the crack level is 0.4; the defect level may be represented by QX, and the first weight value corresponding to the defect level is 0.4, and the health degree of each hydroelectric generating set=zq×0.2+zl×0.4+qx×0.4.
S204: and determining a first starting sequence of the plurality of hydroelectric generating sets according to the health degrees respectively corresponding to the plurality of hydroelectric generating sets.
The description of S204 may be specifically referred to the above embodiments, and will not be repeated here.
S205: and respectively acquiring heating data and runout data of a plurality of parts within a preset time of a plurality of water turbine generator sets.
Further, heat generation data and runout data of a plurality of components within a predetermined time (for example, 1 year) of each hydro-generator set are acquired.
In some embodiments, the plurality of components may include, for example, one or more of a hydro-generator up-lead, down-lead, water-lead, hydro-generator thrust bearing, hydro-generator stator, hydro-generator rotor, and any other possible component, and the heat generation data may be heat generation data of each of the above components during operation, without limitation.
The runout data includes, for example, one or more of an upper guide X-direction runout, an upper guide Y-direction runout, a water guide X-direction runout, a water guide Y-direction runout, a thrust X-direction runout, a thrust Y-direction runout, an upper frame X-direction vibration, an upper frame Y-direction vibration, an upper frame vertical vibration, a lower frame X-direction vibration, a lower frame Y-direction vibration, a lower frame vertical vibration, a top cover horizontal vibration X-direction, a top cover horizontal vibration Y-direction, a top cover horizontal vibration Z-direction, a stator core X-direction horizontal vibration, and a stator base Z-direction horizontal vibration of the hydro-generator, without limitation.
S206: and calculating the temperature average value of the hydroelectric generating set in a preset first load interval according to the heating data.
The first load interval may be a load interval of the hydro-generator set in an abnormal operation state, for example: between 0-180 MW. In actual operation, the heating data of each component can be used when the hydroelectric generating set is operated in the 0-180MW load interval, which is acquired by the sensor, and the average value is calculated to obtain the temperature average value.
In some embodiments, in the operation of calculating the average temperature value of the hydro-generator set in the preset first load interval, the collected heating data of each component and the corresponding load data may be used to establish a data two-dimensional distribution map.
For example, the component is a hydro-generator stator, fig. 3a is a two-dimensional distribution diagram of heat generation data of the hydro-generator stator according to the embodiment of the disclosure, as shown in fig. 3a, the heat generation data of the stator and corresponding load data within 1 year are obtained through big data, and a coordinate system is established, wherein the unit load data is an abscissa, and the heat generation data (stator temperature) of the stator is an ordinate. The construction of the two-dimensional profile by the other components is similar to the hydro-generator stator and is not described in detail herein, so that there may be a corresponding two-dimensional profile for each component.
Further, according to the heating data of each component and the corresponding load data, a first regression model for representing the relation between the heating condition of each component and the unit load is constructed. For example: from the stator temperature and the corresponding load data in fig. 3a, a first regression model of the stator temperature is constructed, namely: the data distribution in the two-dimensional distribution graph according to fig. 3a fits a curve (i.e. the first regression model).
In some embodiments, with the unit load as a dependent variable and the stator temperature as an independent variable, the regression equation (first regression model) between the dependent variable Y and the independent variable x is set to the following possible form y=β 0 +β 1 x 1 +ε, where β 0 、β 1 Epsilon represents the randomness error and is independently subject to normal distribution, which is a regression coefficient.
Will influence factor x 1 The following is carried into the above formula:
y i ＝β 0 +β i x i +ε i
obtaining a linear sample regression equation:
the estimation of regression coefficient in the linear regression equation adopts a least square method, and the sum of squares of residual errors:
couple SSE to beta 0 、β 1 And (3) obtaining a partial derivative, and enabling the partial derivative to be equal to zero, and obtaining a standard equation set after finishing:
by solving the above equation set, the regression coefficient β can be obtained 0 、β 1 To obtain the first regression model.
In other embodiments, the first regression model may also be expressed as: y=cx a +bx, or y=c 'ln (x+a')+b 'x, where a, a', b ', c' are each part coefficient value (a>1) The solving method is the same as that of the solving process, and is not repeated here.
Further, a first load interval and a value interval of the first load interval are determined. Fig. 3b is a schematic diagram of a first load interval of the stator according to an embodiment of the disclosure, as shown in fig. 3b, where the first load interval may take, for example, 0-180MW, and the value interval of the first load interval may be determined according to an actual application scenario, and fig. 3c is a schematic diagram of the value interval of the first load interval of the stator according to an embodiment of the disclosure, as shown in fig. 3c, and the value interval in the embodiment may take 1MW.
Further, sampling is performed on the first regression model based on the first load interval and the value interval of the first load interval, and a plurality of temperature sample data of the corresponding component are determined. For example: as shown in fig. 3c, stator temperatures corresponding to 0, 1, 2..180 MW loads were taken on the curve of the first regression model as stator temperature sample data. Further, a first arithmetic mean of the plurality of temperature sample data for each component is calculated, for example: and carrying out average value calculation on the stator temperature sample data to obtain a first arithmetic average value of the stator.
It is understood that the calculation process of the first arithmetic mean of each component may be the same as the calculation process of the stator component, and will not be described herein. Thus, for each component a corresponding first arithmetic mean may be determined.
Further, a weighted average of the first arithmetic averages corresponding to the plurality of components is calculated to determine a temperature average. That is, different components may correspond to different weight values, and a weighted average calculation may be performed according to the first arithmetic average value of each component and the corresponding weight value to obtain a temperature average value of each hydroelectric generating set, for example: temperature average = Σ (stator temperature first arithmetic mean × weight first count of +rotor temperature mean +. Weight...)/n.
S207: and calculating the runout average value of the hydroelectric generating set in a preset second load interval according to the runout data.
The second load interval may be a load interval of the hydro-generator set in an abnormal operation state, for example: and calculating the average value of the runout data of each component in the 0-180MW interval, namely, calculating the average value of the runout data of each component when the hydro-generator set runs in the 0-180MW load interval, and obtaining the runout average value.
In some embodiments, in the operation of determining the average value of the runout of the hydro-generator set in the preset second load interval, a two-dimensional data distribution map (similar to the heat generating data construction manner) may be established for the runout of each component and the corresponding load data.
For example, the runout data is upper guide X-direction runout data of the hydraulic generator, and the upper guide X-direction runout data and corresponding load data of the hydraulic generator in one year are obtained through big data, so that a two-dimensional distribution map is constructed.
Further, according to the runout data (such as the upper guide X direction of the hydraulic generator) of each component and the corresponding load data, a second regression model for representing the relation between the vibration condition of each component and the unit load is constructed, so that the corresponding second regression model can be obtained for each component.
The form of the second regression model may be the same as that of the first regression model, and will not be described here.
Further, the second load section and the value interval of the second load section are determined, for example: the second load interval can take 0-180MW, and the value interval of the second load interval can take 1MW.
Further, sampling is performed on the basis of the second load interval and the value interval of the second load interval in a three-regression model, and a plurality of runout sample data of the corresponding component are determined. For example: and taking the runout data corresponding to the loads of 0, 1 and 2.180 MW on the curve of the second regression model corresponding to the upper guide X direction of the hydraulic generator, and taking the runout data as upper guide X direction runout sample data of the hydraulic generator.
Further, a second arithmetic average of the plurality of runout sample data for each component is calculated, for example: and carrying out average value calculation on the upper guide X-direction runout sample data of the hydraulic generator to obtain a second arithmetic average value of the upper guide X-direction of the hydraulic generator.
It is to be understood that the calculation process of the second arithmetic mean of each component may be the same as the calculation process of the guiding X direction on the hydraulic generator, and will not be described herein. Thus, a corresponding second arithmetic mean may be determined for each component vibration condition.
Further, a weighted average of a plurality of second arithmetic averages corresponding to the plurality of components is calculated to determine a runout average. That is, different components may correspond to different weight values, and a weighted average calculation may be performed according to the second arithmetic average value of each component and the corresponding weight value, to obtain a runout average value of each hydroelectric generating set.
S208: and determining the running states corresponding to the plurality of water-turbine generator sets respectively according to the temperature average value, the runout average value and the second weight values corresponding to the temperature average value and the runout average value respectively.
For example, the plurality of hydro-generator sets may be ranked from high to low according to the average temperature value, with the number (e.g., 1-5) being used as the score; similarly, the plurality of hydro-generator sets may be ranked from high to low according to the runout average, and the number (e.g., 1-5) may be used as the score. The temperature average number may be represented by JR, and the corresponding second weight value may be 0.3, the runout average number may be represented by JZ, and the corresponding second weight value may be 0.7, and then the respective corresponding operating states of each hydro-generator set=0.3jr+0.7jz.
S209: and determining a second starting sequence of the plurality of water-turbine generator sets according to the corresponding running states of the plurality of water-turbine generator sets.
S210: and respectively determining the accumulated running time of the plurality of water-turbine generator sets deviating from the optimal working condition.
S211: and determining the target starting-up sequence of the plurality of hydroelectric generating sets under the unsteady state working condition according to the first starting-up sequence, the second starting-up sequence and the accumulated running time.
The descriptions of S209 to S211 may be specifically referred to the above embodiments, and are not repeated herein.
In this embodiment, a first startup sequence of the plurality of hydro-generator sets is determined according to health degrees respectively corresponding to the plurality of hydro-generator sets, a second startup sequence of the plurality of hydro-generator sets is determined according to operation states respectively corresponding to the plurality of hydro-generator sets, accumulated operation time of the plurality of hydro-generator sets deviating from an optimal working condition is respectively determined, and a target startup sequence of the plurality of hydro-generator sets under an unsteady working condition is determined according to the first startup sequence, the second startup sequence and the accumulated operation time. Therefore, the target starting-up sequence of the plurality of hydroelectric generating sets under the unsteady state working condition can be determined by combining the health degree, the running state, the accumulated running time deviating from the optimal working condition and other factors of the hydroelectric generating sets, the hydroelectric generating sets can be reasonably operated under the off-optimal working condition, and the service life of the hydroelectric generating sets and the economic value of the hydroelectric generating sets are prolonged. And further solves the technical problems that the reasonable starting sequence cannot be determined under the unsteady state working condition in the related technology, so that the service life of the hydroelectric generating set and the economic value of a hydropower plant are influenced. In addition, in the process of calculating the running state and the health degree, temperature data and runout data of various defects and various components can be combined, and a regression equation is constructed to determine a temperature average value and a runout average value, so that the health degree and the running state of the unit can be accurately determined, and the accuracy of a target starting sequence is improved.
Fig. 4 is a schematic diagram of an unsteady-state hydro-generator set startup sequence determining device according to another embodiment of the present disclosure. As shown in fig. 4, the starting-up sequence determining device 40 of the unsteady-state water turbine generator set includes:
the first sequencing module 401 is configured to determine a first startup sequence of the plurality of hydro-generator sets according to health degrees corresponding to the plurality of hydro-generator sets respectively;
a second sequencing module 402, configured to determine a second startup sequence of the plurality of water-turbine generator sets according to respective operation states of the plurality of water-turbine generator sets;
a first determining module 403, configured to determine an accumulated running time of the plurality of hydro-generator sets deviating from an optimal working condition; and
and the third sequencing module 404 is configured to determine a target startup sequence of the multiple hydro-generator sets under the unsteady working condition according to the first startup sequence, the second startup sequence, and the annual accumulated running time.
Optionally, in some embodiments, fig. 5 is a schematic diagram of an unsteady-state hydroelectric generating set startup sequence determining apparatus according to another embodiment of the present disclosure, as shown in fig. 5, where the apparatus 40 further includes: the first obtaining module 405 is configured to obtain the number of cavitation erosion of the runner, the crack length of the runner, and the number of unprocessed defects in a predetermined time of the plurality of hydro-generator sets, respectively; a second determining module 406, configured to determine, according to a preset level rule, a cavitation level corresponding to the cavitation number of the runner, a crack level corresponding to the crack length of the runner, and a defect level corresponding to the number of unprocessed defects; the third determining module 407 is configured to determine health degrees corresponding to the plurality of hydro-generator sets respectively according to the cavitation level, the crack level, the defect level, and the first weight values corresponding to the cavitation level, the crack level, and the defect level respectively.
Optionally, in some embodiments, as shown in fig. 5, the apparatus 40 further includes: a second obtaining module 408, configured to obtain heat data and runout data of a plurality of components within a predetermined time of the plurality of hydro-generator sets respectively; the first calculating module 409 is configured to calculate, according to the heating data, a temperature average value of the hydroelectric generating set in a preset first load interval; the second calculating module 410 is configured to calculate a runout average value of the hydroelectric generating set in a preset second load interval according to the runout data; and a third determining module 411, configured to determine the running states corresponding to the multiple hydro-generator sets respectively according to the temperature average value, the runout average value, and the second weight values corresponding to the temperature average value and the runout average value.
Optionally, in some embodiments, the first computing module 409 is specifically configured to: constructing a first regression model for representing the relation between the heating condition of each component and the unit load according to the heating data of each component and the corresponding load data; determining a first load interval and a value interval of the first load interval; sampling in a regression model based on the first load interval and the value interval of the first load interval, and determining a plurality of temperature sample data of each component; calculating a first arithmetic mean of the plurality of temperature sample data for each component; and carrying out weighted average calculation on a plurality of first arithmetic averages corresponding to the plurality of components to determine a temperature average.
Optionally, in some embodiments, the second computing module 410 is specifically configured to: constructing a second regression model for representing the relation between the runout condition of each component and the unit load according to the runout data of each component and the corresponding load data; determining a second load interval and a value interval of the second load interval; sampling in a second regression model based on a second load interval and a value interval of the second load interval, and determining a plurality of runout sample data of each component; calculating a second arithmetic mean of the plurality of runout sample data for each component; and carrying out weighted average calculation on a plurality of second arithmetic averages corresponding to the plurality of components, and determining a runout average value.
Optionally, in some embodiments, the third sorting module 404 is specifically configured to: calculating the time difference between the longest accumulated running time unit and the shortest accumulated running time unit, and judging whether the time difference is larger than or equal to a preset threshold value; if the time difference value is greater than or equal to a preset threshold value, moving the longest unit with accumulated running time in the first starting sequence to a last starting position to obtain a third starting sequence; otherwise, the first starting sequence is used as a third starting sequence; and determining the target starting-up sequence of the plurality of water-turbine generator sets under the unsteady state working condition according to the second starting-up sequence, the third starting-up sequence and the third weight value respectively corresponding to the second starting-up sequence and the third starting-up sequence.
Optionally, in some embodiments, the plurality of components includes at least one of: the hydraulic generator comprises an upper guide, a lower guide, a water guide, a hydraulic generator thrust bearing bush, a hydraulic generator stator and a hydraulic generator rotor; the runout data includes at least one of: the hydraulic generator comprises an upper guide X-direction swing degree, an upper guide Y-direction swing degree, a water guide X-direction swing degree, a water guide Y-direction swing degree, a thrust X-direction swing degree, a thrust Y-direction swing degree, an upper frame X-direction vibration, an upper frame Y-direction vibration, an upper frame vertical vibration, a lower frame X-direction vibration, a lower frame Y-direction vibration, a lower frame vertical vibration, a top cover horizontal vibration X-direction, a top cover horizontal vibration Y-direction, a top cover horizontal vibration Z-direction, a stator core X-direction horizontal vibration and a stator base Z-direction horizontal vibration.
In this embodiment, a first startup sequence of the plurality of hydro-generator sets is determined according to health degrees respectively corresponding to the plurality of hydro-generator sets, a second startup sequence of the plurality of hydro-generator sets is determined according to operation states respectively corresponding to the plurality of hydro-generator sets, accumulated operation time of the plurality of hydro-generator sets deviating from an optimal working condition is respectively determined, and a target startup sequence of the plurality of hydro-generator sets under an unsteady working condition is determined according to the first startup sequence, the second startup sequence and the accumulated operation time. Therefore, the target starting-up sequence of the plurality of hydroelectric generating sets under the unsteady state working condition can be determined by combining the health degree, the running state, the accumulated running time deviating from the optimal working condition and other factors of the hydroelectric generating sets, the hydroelectric generating sets can be reasonably operated under the off-optimal working condition, and the service life of the hydroelectric generating sets and the economic value of the hydroelectric generating sets are prolonged. And further solves the technical problems that the reasonable starting sequence cannot be determined under the unsteady state working condition in the related technology, so that the service life of the hydroelectric generating set and the economic value of a hydropower plant are influenced.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
In order to achieve the foregoing embodiments, the present application further provides a computer program product, which when executed by an instruction processor in the computer program product, performs the method for determining the startup sequence of the unsteady-state hydro-generator set according to the foregoing embodiments of the present application.
Fig. 6 illustrates a block diagram of an exemplary computer device suitable for use in implementing embodiments of the present application. The computer device 12 shown in fig. 6 is merely an example and should not be construed as limiting the functionality and scope of use of embodiments of the present application.
As shown in FIG. 6, the computer device 12 is in the form of a general purpose computing device. Components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, a bus 18 that connects the various system components, including the system memory 28 and the processing units 16.
Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, and a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include industry Standard architecture (Industry Standard Architecture; hereinafter ISA) bus, micro channel architecture (Micro Channel Architecture; hereinafter MAC) bus, enhanced ISA bus, video electronics standards Association (Video Electronics Standards Association; hereinafter VESA) local bus, and peripheral component interconnect (Peripheral Component Interconnection; hereinafter PCI) bus.
Computer device 12 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
Memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (Random Access Memory; hereinafter: RAM) 30 and/or cache memory 32. The computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from or write to non-removable, nonvolatile magnetic media (not shown in FIG. 6, commonly referred to as a "hard disk drive").
Although not shown in fig. 6, a magnetic disk drive for reading from and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable non-volatile optical disk (e.g., a compact disk read only memory (Compact Disc Read Only Memory; hereinafter CD-ROM), digital versatile read only optical disk (Digital Video Disc Read Only Memory; hereinafter DVD-ROM), or other optical media) may be provided. In such cases, each drive may be coupled to bus 18 through one or more data medium interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of the embodiments of the present application.
A program/utility 40 having a set (at least one) of program modules 42 may be stored in, for example, memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 42 generally perform the functions and/or methods in the embodiments described herein.
The computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and/or any devices (e.g., network card, modem, etc.) that enable the computer device 12 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 22. Moreover, the computer device 12 may also communicate with one or more networks such as a local area network (Local Area Network; hereinafter LAN), a wide area network (Wide Area Network; hereinafter WAN) and/or a public network such as the Internet via the network adapter 20. As shown, network adapter 20 communicates with other modules of computer device 12 via bus 18. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with computer device 12, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 16 executes various functional applications and methods, such as the unsteady state hydro-generator set start-up sequence determination method mentioned in the foregoing embodiment, by running a program stored in the system memory 28.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It should be noted that in the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (9)
1. The method for determining the starting-up sequence of the unsteady-state hydroelectric generating set is characterized by comprising the following steps of:
determining a first starting sequence of the plurality of hydroelectric generating sets according to the health degrees corresponding to the plurality of hydroelectric generating sets respectively;
determining a second starting sequence of the plurality of water-turbine generator sets according to the corresponding operation states of the plurality of water-turbine generator sets;
respectively determining accumulated running time of the plurality of hydroelectric generating sets deviating from an optimal working condition; and
calculating a time difference value of the longest accumulated running time unit and the shortest accumulated running time unit, and judging whether the time difference value is larger than or equal to a preset threshold value;
if the time difference value is greater than or equal to the preset threshold value, moving the longest unit of accumulated running time in the first starting sequence to a last starting position to obtain a third starting sequence; otherwise, the first starting-up sequence is used as the third starting-up sequence;
And determining the target starting-up sequence of the plurality of water-turbine generator sets under the unsteady state working condition according to the second starting-up sequence, the third starting-up sequence and the third weight value respectively corresponding to the second starting-up sequence and the third starting-up sequence.
2. The method of claim 1, wherein prior to determining the first power-on sequence of the plurality of hydro-generator sets based on the respective health of the plurality of hydro-generator sets, further comprising:
respectively obtaining the cavitation quantity of the rotating wheels, the crack length of the rotating wheels and the quantity of unprocessed defects in the preset time of the plurality of water-turbine generator sets;
determining cavitation grades corresponding to the cavitation quantity of the rotating wheel, crack grades corresponding to the crack length of the rotating wheel and defect grades corresponding to the untreated defect quantity according to a preset grade rule; and
and determining the health degrees corresponding to the plurality of hydroelectric generating sets respectively according to the cavitation grade, the crack grade, the defect grade and the first weight values corresponding to the plurality of hydroelectric generating sets respectively.
3. The method of claim 1, wherein prior to determining the second start-up sequence of the plurality of hydro-generator sets according to the respective operating states of the plurality of hydro-generator sets, further comprising:
Respectively acquiring heating data and runout data of a plurality of components within a preset time of the plurality of hydroelectric generating sets;
according to the heating data, calculating the temperature average value of the hydroelectric generating set in a preset first load interval;
calculating a runout average value of the hydroelectric generating set in a preset second load interval according to the runout data; and
and determining the running states corresponding to the plurality of hydroelectric generating sets respectively according to the temperature average value, the runout average value and the second weight values corresponding to the temperature average value and the runout average value respectively.
4. The method of claim 3, wherein determining a temperature average of the hydro-generator set at a preset first load interval based on the heat generation data comprises:
constructing a first regression model for representing the relation between the heating condition of each component and the unit load according to the heating data of each component and the corresponding load data;
determining the value interval of the first load interval;
sampling in the regression model based on the first load interval and the value interval of the first load interval, and determining a plurality of temperature sample data of each component;
Calculating a first arithmetic mean of the plurality of temperature sample data for each component; and
and carrying out weighted average calculation on a plurality of first arithmetic averages corresponding to the plurality of components, and determining the temperature average.
5. The method of claim 3, wherein determining a runout average value for the hydro-generator set over a predetermined second load interval based on the runout data comprises:
constructing a second regression model for representing the relation between the runout condition of each component and the unit load according to the runout data of each component and the corresponding load data;
determining the value interval of the second load interval;
sampling in the second regression model based on the second load interval and the value interval of the second load interval, and determining a plurality of runout sample data of each component;
calculating a second arithmetic mean of the plurality of runout sample data for each component; and
and carrying out weighted average calculation on a plurality of second arithmetic averages corresponding to the plurality of components, and determining the runout average value.
6. The method of any of claims 3-5, wherein the plurality of components comprises at least one of:
The hydraulic generator comprises an upper guide, a lower guide, a water guide, a hydraulic generator thrust bearing bush, a hydraulic generator stator and a hydraulic generator rotor;
the runout data comprises at least one of:
the hydraulic generator comprises an upper guide X-direction swing degree, an upper guide Y-direction swing degree, a water guide X-direction swing degree, a water guide Y-direction swing degree, a thrust X-direction swing degree, a thrust Y-direction swing degree, an upper frame X-direction vibration, an upper frame Y-direction vibration, an upper frame vertical vibration, a lower frame X-direction vibration, a lower frame Y-direction vibration, a lower frame vertical vibration, a top cover horizontal vibration X-direction, a top cover horizontal vibration Y-direction, a top cover horizontal vibration Z-direction, a stator core X-direction horizontal vibration and a stator base Z-direction horizontal vibration.
7. The utility model provides a unsteady state hydroelectric set start-up order determining device which characterized in that includes:
the first sequencing module is used for determining a first starting sequence of the plurality of water-turbine generator sets according to the health degrees corresponding to the plurality of water-turbine generator sets respectively;
the second sequencing module is used for determining a second starting sequence of the plurality of water-turbine generator sets according to the corresponding operation states of the plurality of water-turbine generator sets;
the first determining module is used for respectively determining the accumulated running time of the plurality of hydroelectric generating sets deviating from the optimal working condition; and
The third sequencing module is used for calculating the time difference value of the longest accumulated running time unit and the shortest accumulated running time unit and judging whether the time difference value is larger than or equal to a preset threshold value;
if the time difference value is greater than or equal to the preset threshold value, moving the longest unit of accumulated running time in the first starting sequence to a last starting position to obtain a third starting sequence; otherwise, the first starting-up sequence is used as the third starting-up sequence;
and determining the target starting-up sequence of the plurality of water-turbine generator sets under the unsteady state working condition according to the second starting-up sequence, the third starting-up sequence and the third weight value respectively corresponding to the second starting-up sequence and the third starting-up sequence.
8. The apparatus of claim 7, wherein the apparatus further comprises:
the first acquisition module is used for respectively acquiring the number of cavitation erosion of the rotating wheel, the crack length of the rotating wheel and the number of unprocessed defects in the preset time of the plurality of water-turbine generator sets; and
the second determining module is used for determining cavitation grades corresponding to the cavitation quantity of the rotating wheel, crack grades corresponding to the crack length of the rotating wheel and defect grades corresponding to the untreated defect quantity according to a preset grade rule;
And the third determining module is used for determining the health degrees corresponding to the plurality of hydroelectric generating sets respectively according to the cavitation grade, the crack grade, the defect grade and the first weight values corresponding to the cavitation grade, the crack grade and the defect grade respectively.
9. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6.
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