CN117911010A - Water turbine speed regulator overhaul evaluation equipment, method, device and medium - Google Patents
Water turbine speed regulator overhaul evaluation equipment, method, device and medium Download PDFInfo
- Publication number
- CN117911010A CN117911010A CN202410309646.1A CN202410309646A CN117911010A CN 117911010 A CN117911010 A CN 117911010A CN 202410309646 A CN202410309646 A CN 202410309646A CN 117911010 A CN117911010 A CN 117911010A
- Authority
- CN
- China
- Prior art keywords
- scene
- water turbine
- turbine governor
- speed regulator
- governor
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 211
- 238000011156 evaluation Methods 0.000 title claims abstract description 98
- 238000000034 method Methods 0.000 title claims description 36
- 238000001514 detection method Methods 0.000 claims abstract description 57
- 230000008439 repair process Effects 0.000 claims abstract description 12
- 238000012423 maintenance Methods 0.000 claims description 116
- 238000004891 communication Methods 0.000 claims description 57
- 238000004422 calculation algorithm Methods 0.000 claims description 31
- 238000005457 optimization Methods 0.000 claims description 27
- 238000012545 processing Methods 0.000 claims description 25
- 230000009977 dual effect Effects 0.000 claims description 20
- 238000003860 storage Methods 0.000 claims description 18
- 239000011159 matrix material Substances 0.000 claims description 14
- 238000010248 power generation Methods 0.000 claims description 13
- 230000004083 survival effect Effects 0.000 claims description 11
- 230000007246 mechanism Effects 0.000 claims description 9
- 238000013439 planning Methods 0.000 claims description 7
- 238000007621 cluster analysis Methods 0.000 claims description 5
- 238000012360 testing method Methods 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 10
- ZZUFCTLCJUWOSV-UHFFFAOYSA-N furosemide Chemical compound C1=C(Cl)C(S(=O)(=O)N)=CC(C(O)=O)=C1NCC1=CC=CO1 ZZUFCTLCJUWOSV-UHFFFAOYSA-N 0.000 description 29
- 238000004590 computer program Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 12
- 238000011144 upstream manufacturing Methods 0.000 description 11
- 238000013480 data collection Methods 0.000 description 8
- 238000007726 management method Methods 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 7
- 238000009826 distribution Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 238000005070 sampling Methods 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 4
- 238000012937 correction Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000000342 Monte Carlo simulation Methods 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000010355 oscillation Effects 0.000 description 2
- 238000012384 transportation and delivery Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000013598 vector Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Landscapes
- Control Of Water Turbines (AREA)
Abstract
The invention discloses a hydraulic turbine governor overhaul evaluation device, a hydraulic turbine governor overhaul evaluation method, a hydraulic turbine governor overhaul evaluation device and a hydraulic turbine governor overhaul evaluation medium. In the hydraulic turbine governor overhaul evaluation equipment, a hydraulic turbine governor data acquisition component acquires and transmits hydraulic turbine governor detection data; the turbine governor overhaul evaluation component is used for constructing a multi-scene random generation model of load demand factors and runoff factors; extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene clustering shrinkage limiting treatment on the initialization scene to obtain a target clustering shrinkage limiting scene; and determining the repair plan data of the water turbine governor according to the target scene information of the target cluster shrinkage scene, the water turbine governor detection data, the water turbine governor state association data and the repair plan model of the water turbine governor. The technical scheme of the embodiment of the invention can improve the overhaul effect of the water turbine speed regulator and the management level of the water turbine speed regulator.
Description
Technical Field
The invention relates to the technical field of hydroelectric generation, in particular to a hydraulic turbine speed regulator overhaul evaluation device, a hydraulic turbine speed regulator overhaul evaluation method, a hydraulic turbine speed regulator overhaul evaluation device and a hydraulic turbine speed regulator overhaul evaluation medium.
Background
Along with the rapid development of modern hydroelectric power generation systems, the power generation production management is increasingly standardized and accurate, and higher requirements are put on the management of the hydraulic turbine speed regulator. At present, a general large-sized water turbine speed governor still adopts a management mode of regular maintenance, and the regular maintenance mode often has the defects of over maintenance and under maintenance.
When the environmental informatization and the intelligent degree of the water turbine are higher and higher, more accurate and effective maintenance decisions are required to be made when a maintenance plan of the speed regulator of the water turbine is formulated.
Disclosure of Invention
The invention provides a device, a method, a device and a medium for overhauling and evaluating a speed regulator of a water turbine, which are used for solving the problem of poor overhauling effect of periodical overhauling of the speed regulator of the current water turbine.
According to an aspect of the present invention, there is provided a hydraulic turbine governor service assessment apparatus comprising: the hydraulic turbine speed regulator data acquisition assembly and the hydraulic turbine speed regulator overhaul evaluation assembly;
The hydraulic turbine governor data acquisition assembly comprises a governor data acquisition component and a first communication component; the hydraulic turbine governor overhaul evaluation component comprises a second communication component and a hydraulic turbine governor overhaul evaluation component; the speed regulator data acquisition component, the first communication component, the second communication component and the hydraulic turbine speed regulator overhaul evaluation component are sequentially in communication connection;
The speed regulator data acquisition component is used for acquiring the speed regulator detection data of the water turbine and sending the speed regulator detection data of the water turbine to the first communication component;
A first communication part for transmitting the water turbine governor detection data to a second communication part;
the second communication component is used for sending the water turbine governor detection data to the water turbine governor maintenance evaluation component;
The hydraulic turbine governor overhaul evaluation component is used for constructing a multi-scene random generation model of load demand factors and runoff factors; extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene clustering shrinkage limiting treatment on the initialization scene to obtain a target clustering shrinkage limiting scene; and determining the repair plan data of the water turbine governor according to the target scene information of the target cluster shrinkage scene, the water turbine governor detection data, the water turbine governor state association data and the repair plan model of the water turbine governor.
According to another aspect of the present invention, there is provided a hydraulic turbine governor service evaluation method performed by a hydraulic turbine governor service evaluation part in any embodiment of the present invention, comprising:
Constructing a multi-scene random generation model of load demand factors and runoff factors;
Extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene clustering shrinkage limiting treatment on the initialization scene to obtain a target clustering shrinkage limiting scene;
and determining the repair plan data of the water turbine governor according to the target scene information of the target cluster shrinkage scene, the water turbine governor detection data, the water turbine governor state association data and the repair plan model of the water turbine governor.
According to another aspect of the present invention, there is provided a hydraulic turbine governor service evaluation apparatus configured in a hydraulic turbine governor service evaluation part in any embodiment of the present invention, comprising:
the random generation model construction module is used for constructing a multi-scene random generation model of the load demand factors and the runoff factors;
The scene cluster limiting processing module is used for extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene cluster limiting processing on the initialization scene to obtain a target cluster limiting scene;
And the maintenance plan data determining module is used for determining the maintenance plan data of the water turbine governor according to the target scene information of the target clustering shrinkage scene, the water turbine governor detection data, the water turbine governor state association data and the water turbine governor maintenance plan model.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for implementing the hydraulic turbine governor service assessment method of any of the embodiments of the present invention.
According to the technical scheme, the hydraulic turbine speed regulator overhaul evaluation equipment is formed by the hydraulic turbine speed regulator data acquisition component and the hydraulic turbine speed regulator overhaul evaluation component. The method comprises the steps of collecting water turbine governor detection data based on a water turbine governor data collecting component, transmitting the water turbine governor detection data to a second communication component of a water turbine governor maintenance evaluation component based on a first communication component, further transmitting the water turbine governor detection data to the water turbine governor maintenance evaluation component by the second communication component, constructing a multi-scene random generation model of load demand factors and runoff factors through the water turbine governor maintenance evaluation component, extracting the multi-scene random generation model based on Monte Carlo to obtain an initialization scene, performing scene cluster restriction processing on the initialization scene to obtain a target cluster restriction scene, and further determining water turbine governor maintenance plan data according to target scene information of the target cluster restriction scene, the water turbine governor detection data, water turbine governor state association data and the water turbine governor maintenance plan model. Because load demand and runoff are key factors influencing the economic operation of the water turbine, the target cluster determined by the multi-scene random generation model shortens scenes, the number of scenes required to be considered is greatly reduced, the uncertainty of the scenes is kept, the consideration of economic benefits is also integrated, the finally determined maintenance schedule data of the water turbine speed regulator can meet the maintenance requirement from multiple dimensions, the problem that the maintenance effect is poor in the conventional regular maintenance of the water turbine speed regulator is solved, the maintenance effect of the water turbine speed regulator can be improved, and the management level of the water turbine speed regulator is improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a hydraulic turbine governor maintenance and evaluation apparatus according to a first embodiment of the present invention;
fig. 2 is a flowchart of a hydraulic turbine governor maintenance evaluation method according to a third embodiment of the present invention;
Fig. 3 is a schematic structural diagram of a hydraulic turbine governor maintenance and evaluation device according to a fourth embodiment of the present invention;
fig. 4 shows a schematic structural view of a hydraulic turbine governor service evaluation assembly that may be used to implement an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a schematic diagram of a hydraulic turbine governor maintenance and evaluation device according to an embodiment of the present invention. As shown in fig. 1, the hydraulic turbine governor service assessment apparatus may include a hydraulic turbine governor data acquisition component 110 and a hydraulic turbine governor service assessment component 120; the hydraulic turbine governor data acquisition assembly 110 may include a governor data acquisition component 111 and a first communication component 112; the hydro turbine governor service evaluation assembly 120 may include a second communication component 121 and a hydro turbine governor service evaluation component 122; the governor data acquisition part 111, the first communication part 112, the second communication part 121, and the turbine governor maintenance evaluation part 122 are sequentially connected in communication.
A governor data collection part 111 that can be used to collect the turbine governor detection data and send the turbine governor detection data to the first communication part 112; a first communication part 112 that can be used to send the hydro governor detection data to the second communication part 121; a second communication part 121, which can be used for sending the water turbine governor detection data to a water turbine governor maintenance evaluation part 122; the hydraulic turbine governor maintenance evaluation component 122 can be used for constructing a multi-scenario random generation model of load demand factors and runoff factors; extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene clustering shrinkage limiting treatment on the initialization scene to obtain a target clustering shrinkage limiting scene; and determining the repair plan data of the water turbine governor according to the target scene information of the target cluster shrinkage scene, the water turbine governor detection data, the water turbine governor state association data and the repair plan model of the water turbine governor.
The hydraulic turbine governor data acquisition component 110 may be a component for acquiring and transmitting hydraulic turbine governor performance parameters. The hydraulic turbine governor service assessment component 120 may be a component that formulates a hydraulic turbine governor service plan based on hydraulic turbine governor performance parameters. Governor data acquisition component 111 may be a component that acquires turbine governor performance parameters. The turbine governor detection data may be turbine governor performance parameters collected by governor data collection component 111. By way of example, turbine governor detection data may include, but is not limited to, no-load oscillations, no-load disturbances, dead time, governor dead band, and frequency dead band, among others. The first communication component 112 may be a communication module in the hydraulic turbine governor data acquisition assembly 110. The second communication component 121 may be a communication module in the hydro turbine governor service evaluation assembly 120. The turbine governor service evaluation component 122 may be an operation and control core of the turbine governor service evaluation assembly 120 for outputting a turbine governor service plan.
The load demand factor may be an uncertainty factor that characterizes the load demand of the turbine governor. The runoff factor may be an uncertainty factor characterizing upstream incoming water runoff. The multi-scenario stochastic generation model may be a non-deterministic model having load demand factors and runoff factors as stochastic variables. The initialization scene may be a scene extracted from a multi-scene stochastic generation model based on a monte carlo approach. The scene clustering shrinkage process can be used for performing scene clustering and rejection on the initialized scene. The target cluster limiting scene can be a scene obtained by the initialization scene after the scene cluster limiting process. The target scene information may be scene information carried by a target cluster-constrained scene. By way of example, the context information may include, but is not limited to, information related to context such as load demand and upstream water supply. The turbine governor status related data may be data related to a turbine governor status indicator. The turbine governor status association data may include, but is not limited to, turbine governor pre-operation status, quality level, run time, operating environment, failure rate, service log data, and the like.
The hydraulic turbine governor service plan model may be a model of a predicted hydraulic turbine governor service plan that is pre-configured in the hydraulic turbine governor service evaluation component 122. For example, the hydraulic turbine governor service plan model may be a model that is built with the total water consumption of the minimum power generation load as a goal. Alternatively, constraints of the hydraulic turbine governor service plan model may be set as desired. The turbine governor service plan data may be data describing a turbine service plan generated by a turbine governor service plan model. The hydraulic turbine governor service plan data may include, but is not limited to, whether each governor in the hydraulic turbine assembly is serviced, service period, etc.
In the embodiment of the invention, the hydraulic turbine governor data acquisition component 110 and the hydraulic turbine governor maintenance evaluation component 120 form hydraulic turbine governor maintenance evaluation equipment, so that a maintenance plan is automatically generated for the hydraulic turbine governor in a maintenance period through the hydraulic turbine governor maintenance evaluation equipment. The governor data collection element 111 of the hydraulic turbine governor data collection assembly 110 is communicatively coupled to a first communication element 112, the first communication element 112 is communicatively coupled to a second communication element 121, and the second communication element 121 is communicatively coupled to a hydraulic turbine governor service evaluation element 122.
Specifically, after the governor data collection section 111 collects the turbine governor detection data, the turbine governor detection data is sent to the first communication section 112. The first communication part 112 forwards the hydro turbine governor detection data to the second communication part 121, and the second communication part 121 sends the hydro turbine governor detection data to the hydro turbine governor service evaluation part 122. The hydraulic turbine governor maintenance evaluation unit 122 may construct a multi-scenario random generation model by using load demand factors and runoff factors as uncertainty factors before receiving hydraulic turbine governor detection data, and further perform scenario extraction on the multi-scenario random generation model in a mode of simulating Monte Carlo to obtain an initialization scenario, so as to perform scenario clustering shrinkage processing on the initialization scenario, and take the processed scenario as a target clustering shrinkage scenario, further substituting target scenario information of the target clustering shrinkage scenario into a hydraulic turbine governor maintenance plan model, and solving the hydraulic turbine governor maintenance plan model according to the received hydraulic turbine governor detection data, hydraulic turbine governor state association data, and an optimization algorithm to obtain hydraulic turbine governor maintenance plan data.
According to the technical scheme, the hydraulic turbine speed regulator overhaul evaluation equipment is formed by the hydraulic turbine speed regulator data acquisition component and the hydraulic turbine speed regulator overhaul evaluation component. The method comprises the steps of collecting water turbine governor detection data based on a water turbine governor data collecting component, transmitting the water turbine governor detection data to a second communication component of a water turbine governor maintenance evaluation component based on a first communication component, further transmitting the water turbine governor detection data to the water turbine governor maintenance evaluation component by the second communication component, constructing a multi-scene random generation model of load demand factors and runoff factors through the water turbine governor maintenance evaluation component, extracting the multi-scene random generation model based on Monte Carlo to obtain an initialization scene, performing scene cluster restriction processing on the initialization scene to obtain a target cluster restriction scene, and further determining water turbine governor maintenance plan data according to target scene information of the target cluster restriction scene, the water turbine governor detection data, water turbine governor state association data and the water turbine governor maintenance plan model. Because load demand and runoff are key factors influencing the economic operation of the water turbine, the target cluster determined by the multi-scene random generation model shortens scenes, the number of scenes required to be considered is greatly reduced, the uncertainty of the scenes is kept, the consideration of economic benefits is also integrated, the finally determined maintenance schedule data of the water turbine speed regulator can meet the maintenance requirement from multiple dimensions, the problem that the maintenance effect is poor in the conventional regular maintenance of the water turbine speed regulator is solved, the maintenance effect of the water turbine speed regulator can be improved, and the management level of the water turbine speed regulator is improved.
Example two
In an alternative embodiment of the invention, the hydraulic turbine governor service assessment component may be specifically configured to: performing scene cluster analysis on the initialized scene based on a hierarchical clustering mode to obtain an initial clustering scene set; and performing scene limiting processing on the initial clustering scene set based on a scene limiting criterion of the probability measure to obtain a target clustering limiting scene.
The initial clustering scene set may be a scene set obtained by clustering the initialization scene in a hierarchical clustering manner. The scene shrinkage criterion of the probability measure may comprise WASSERTEIN distances.
In the embodiment of the invention, scene cluster analysis can be performed on the initialized scenes based on a hierarchical clustering mode to obtain an initial clustering scene set, then similar scene clustering is performed on the initial clustering scene set based on the scene shrinkage criterion of the existing probability measure, and the re-clustered scenes are extracted to obtain target clustering shrinkage scenes.
In an alternative embodiment of the invention, a hydraulic turbine governor service evaluation component is specifically configured to: initializing a population individual matrix; inputting the group individual matrix and the target scene information into a water turbine governor maintenance planning model to obtain individual fitness values; and determining maintenance plan data of the hydraulic turbine governor based on the natural surviving geometric mean optimization algorithm, the individual fitness value, the hydraulic turbine governor detection data and the hydraulic turbine governor state association data.
Wherein, the group individual matrix can be a matrix generated in a random manner based on a genetic algorithm. The individual fitness value can be the total water consumption of the water turbine generator set calculated by a water turbine speed regulator overhaul plan model. The natural survival geometric mean optimization algorithm may be an optimization algorithm built from natural survival mechanisms (NSM, natural Survivor Method) and geometric mean algorithms.
In the embodiment of the invention, the group individual matrix can be initialized in a random mode, namely, individuals in the group are initialized, then the group individual matrix and target scene information are input into the hydraulic turbine speed regulator maintenance planning model, and the individual fitness value is calculated, so that the hydraulic turbine speed regulator is subjected to state evaluation based on hydraulic turbine speed regulator detection data and hydraulic turbine speed regulator state association data, the individual fitness value is corrected based on a state evaluation result of the hydraulic turbine speed regulator, and the corrected individual fitness value is subjected to optimization calculation again by using a natural surviving geometric mean optimization algorithm, so that hydraulic turbine speed regulator maintenance planning data matched with the optimized individual fitness value is obtained.
In an alternative embodiment of the invention, the hydraulic turbine governor service assessment component may be specifically configured to: determining the state grade of the water turbine speed regulator according to the water turbine speed regulator detection data and the water turbine speed regulator state association data; calculating individual fuzzy membership degree, and calculating individual dual fitness index according to the individual fuzzy membership degree; and determining maintenance plan data of the water turbine speed regulator according to a natural surviving geometric mean optimization algorithm, an individual fitness value, a state grade of the water turbine speed regulator and an individual dual fitness index.
The state grade of the water turbine speed regulator can be equal times of the state grade of the water turbine speed regulator. By way of example, the turbine governor status rating may include, but is not limited to, good, normal, abnormal, and bad. The individual fuzzy membership may be used to describe the degree to which an individual belongs to a fuzzy set. The individual dual fitness index may be the result of a fuzzy membership calculation of the individual based on the dual fitness function.
In the embodiment of the invention, the state of the water turbine governor can be divided according to the water turbine governor detection data and the water turbine governor state association data to obtain the state grade of the water turbine governor, then the individual fuzzy membership is calculated according to the individual fitness value and the fuzzy membership algorithm, the individual dual fitness index is calculated based on the dual fitness function and the individual fuzzy membership, the state grade of the water turbine governor is further utilized to correct the individual fitness value, and then the individual fitness value is optimized according to the natural surviving geometric mean optimization algorithm and the individual dual fitness index to obtain the water turbine governor maintenance plan data matched with the optimized individual fitness value.
In an alternative embodiment of the invention, the hydraulic turbine governor service assessment component may be specifically configured to: correcting the individual fitness value according to the state grade of the water turbine speed regulator to obtain a primary corrected individual fitness value; sequencing and correcting the initial corrected individual fitness value by using a natural surviving mechanism in a natural surviving geometric mean optimization algorithm to obtain a target individual fitness value; and determining maintenance plan data of the water turbine speed regulator according to the geometric mean optimizer, the individual dual fitness index and the target individual fitness value in the natural survival geometric mean optimization algorithm.
The initial correction of the individual fitness value may be a correction value obtained by first correcting the individual fitness value based on the state level of the hydraulic turbine governor. The target individual fitness value may be the result of processing the initially corrected individual fitness value using a natural survival mechanism.
In the embodiment of the invention, the individual fitness value can be corrected according to a calculation formula preset by a user by combining the state grade of the water turbine governor, so as to obtain the primary corrected individual fitness value, then the natural survivor mechanism in the natural survivor geometric mean optimization algorithm is utilized to firstly sort, then the target individual fitness value is calculated according to the distance between the sorted individuals, thus the individual dual fitness index and the target individual fitness value are input into the geometric mean optimizer in the natural survivor geometric mean optimization algorithm, the individual evolution is carried out through the geometric mean optimizer, and the water turbine governor maintenance plan data matched with the optimized individual fitness value is further determined.
In an alternative embodiment of the invention, the objective function of the hydraulic turbine governor service plan model is as follows: ; wherein/> Indicating the total water consumption of N time period meeting the power generation load,/>Representing the overhaul state of the ith water turbine speed regulator in the t period,/>Representing the water output flow rate of the unit i in the t period,/>Representing the output force of the unit i in the t period,/>The water head of the unit i in the t period is represented, N represents the total maintenance period number, and P represents the total unit number.
Wherein,May be used as an individual fitness value for individuals in the population. Exemplary,/>A value of 1 indicates that the maintenance is not performed,And 0 represents maintenance.
In the embodiment of the invention, the hydraulic turbine speed regulator is overhauled in consideration of the scene of uncertain factors, and the objective function can be constructed by combining the loss of power generation economy of the power station caused by overhauling time.
Alternatively, constraints corresponding to the objective function may include, but are not limited to, load balancing constraints, water balance constraints, reservoir capacity constraints, outlet flow constraints, upstream and downstream water level constraints, operating head constraints, and the like.
Illustratively, the load balancing constraints may be: . Wherein/> Is the load demand of the t period. The water balance constraint may be: /(I). Wherein/>For the storage capacity of t period,/>For upstream water supply in period t,/>For the power generation flow of t period,/>Is the storage capacity of t+1 period,/>Is a time interval. The reservoir capacity constraint may be: . Wherein/> For the lower limit of the storage capacity,/>Is the upper limit of the storage capacity. The ex-warehouse traffic constraint may be: . Wherein/> For the lower limit of the delivery flow,/>Is the upper limit of the delivery flow. The upstream and downstream water level constraints may be: /(I)；/>. Wherein/>Is the lower limit of the upstream water level,/>Is the upper limit of the upstream water level,/>Is the lower limit of the downstream water level,/>For the upper limit of the downstream water level,/>Representing the upstream water level of the t period,/>Representing the downstream water level for period t. The operating head constraints may be: /(I). Wherein/>Is the lower limit of water head,/>Is the upper limit of water head,/>Is the head of the t period. The constraint and the repetition parameters in the objective function are not repeatedly introduced.
In an alternative embodiment of the invention, the governor data acquisition component may include at least one governor data acquisition sub-component; the governor data acquisition subassembly may include an idle test data acquisition sensor and an oscilloscope.
The speed regulator data acquisition sub-component can be a component which is arranged on one water turbine speed regulator and used for acquiring detection data of the water turbine speed regulator, namely, when a plurality of water turbine speed regulators exist, the speed regulator data acquisition sub-component is needed to acquire data. The idle test data acquisition sensor can be a sensor for acquiring relevant data in the idle test of the water turbine. For example, the idle oscillation, idle disturbance, and dead time may be acquired by an idle test data acquisition sensor.
Example III
Fig. 2 is a flowchart of a hydraulic turbine governor maintenance evaluation method according to a third embodiment of the present invention, where the method may be performed by a hydraulic turbine governor maintenance evaluation device, which may be implemented in hardware and/or software, and the hydraulic turbine governor maintenance evaluation device may be configured in a hydraulic turbine governor maintenance evaluation component, for the uncertainty of an application scenario of the hydraulic turbine governor, and for the situation of making a maintenance plan from an economic perspective. As shown in fig. 2, the method includes:
and 210, constructing a multi-scene random generation model of the load demand factors and the runoff factors.
In the embodiment of the invention, a multi-scene random generation model of load demand factors and runoff factors is constructed through a hydraulic turbine governor overhaul evaluation component.
And 220, extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene cluster limiting processing on the initialization scene to obtain a target cluster limiting scene.
In the embodiment of the invention, a multi-scene random generation model is extracted by a water turbine speed regulator overhaul evaluation component in a Monte Carlo mode to obtain an initialization scene, and scene cluster limiting processing is carried out on the initialization scene to obtain a target cluster limiting scene.
And 230, determining the repair plan data of the water turbine governor according to the target scene information of the target cluster shrinkage scene, the detection data of the water turbine governor, the state association data of the water turbine governor and the repair plan model of the water turbine governor.
In the embodiment of the invention, the water turbine speed regulator maintenance plan data is determined by a water turbine speed regulator maintenance evaluation component according to the target scene information of the target clustering shrinkage scene, the water turbine speed regulator detection data, the water turbine speed regulator state association data and the water turbine speed regulator maintenance plan model.
In an optional embodiment of the present invention, extracting a multi-scene random generation model based on monte carlo to obtain an initialization scene, and performing scene cluster shrinkage limiting processing on the initialization scene to obtain a target cluster shrinkage limiting scene may include: performing scene cluster analysis on the initialization scene based on a hierarchical clustering mode to obtain an initial clustering scene set; and performing scene limiting processing on the initial clustering scene set based on a scene limiting criterion of probability measure to obtain the target clustering limiting scene.
In an optional embodiment of the present invention, determining the hydraulic turbine governor maintenance plan data according to the target scenario information of the target cluster contracted scenario, the hydraulic turbine governor detection data, the hydraulic turbine governor state association data, and the hydraulic turbine governor maintenance plan model may include: initializing a population individual matrix; inputting the group individual matrix and the target scene information into the water turbine governor maintenance planning model to obtain individual fitness values; and determining the hydraulic turbine governor maintenance plan data based on a natural survival geometric mean optimization algorithm, the individual fitness value, the hydraulic turbine governor detection data and the hydraulic turbine governor state association data.
In an alternative embodiment of the present invention, determining the turbine governor service plan data based on a natural survivor geometry average optimization algorithm, the individual fitness value, the turbine governor detection data, and the turbine governor state association data may include: determining the state grade of the water turbine speed regulator according to the water turbine speed regulator detection data and the water turbine speed regulator state association data; calculating individual fuzzy membership degree, and calculating individual dual fitness index according to the individual fuzzy membership degree; and determining the maintenance plan data of the water turbine speed regulator according to the natural surviving geometric mean optimization algorithm, the individual fitness value, the state grade of the water turbine speed regulator and the individual dual fitness index.
In an alternative embodiment of the present invention, determining the turbine governor service plan data based on the natural survivor geometry average optimization algorithm, the individual fitness value, the turbine governor state grade, and the individual dual fitness indicator may include: correcting the individual fitness value according to the state grade of the water turbine speed regulator to obtain a primary corrected individual fitness value; sequencing and correcting the initial corrected individual fitness value by utilizing a natural surviving mechanism in the natural surviving geometric mean optimization algorithm to obtain a target individual fitness value; and determining maintenance plan data of the water turbine speed regulator according to a geometric mean optimizer in the natural survival geometric mean optimization algorithm, the individual dual fitness index and the target individual fitness value.
In an alternative embodiment of the invention, the objective function of the hydraulic turbine governor service plan model is as follows: . Wherein/> Indicating the total water consumption of N time period meeting the power generation load,/>Representing the overhaul state of the ith water turbine speed regulator in the t period,/>Representing the water output flow rate of the unit i in the t period,/>Representing the output force of the unit i in the t period,/>The water head of the unit i in the t period is represented, N represents the total maintenance period number, and P represents the total unit number.
In a specific example, determining turbine governor service plan data specifically includes the steps of:
1) The method comprises the following specific steps of constructing a multi-scene random generation model of load demand factors and runoff factors: 1.1 Determining the length N of the generated scene time sequence, wherein the length N is consistent with the maintenance required length of the speed regulator. 1.2 The Latin hypercube sampling method is adopted to sample from probability distribution of load demand factors and runoff factors respectively, and a multi-scene generation model with the scene time sequence length of N is constructed. The upstream running water runoff is subjected to normal distribution (parameters of the normal distribution can be obtained through running water data of recent period history), a Monte Carlo simulation method is adopted for sampling, points conforming to the normal distribution are reserved, the sampling grid characteristics are considered to divide running water of each period into m sections which are not overlapped with each other, and the probability that sampling points fall in each section is the same. The load demand obeys the Weibull distribution, the parameters of the load demand are also obtained through statistics of recent period histories, sampling is carried out through a Monte Carlo simulation method, points conforming to the Weibull distribution are reserved, the load demand in each period is divided into m sections which are not overlapped with each other, and the probability that sampling points fall in each section is the same.
2) Extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene clustering shrinkage limiting treatment on the initialization scene to obtain a target clustering shrinkage limiting scene, wherein the method comprises the following specific steps of: 2.1 A time series of samples) extracts a region from the water data and the load demand at each point in time, and randomly extracts a point from the reserved points in the extracted region. Thereby constructing a series of time-series initialization scenarios having a length N. 2.2 Using hierarchical clustering method and scene reduction criterion based on probability measure to make scene reduction. Wherein, 2.2) specifically includes: 2.21 The method is characterized in that a hierarchical clustering method is adopted to perform clustering analysis, the condition in the scene i can be brought into a power station unit to be calculated through a power generation model (such as a water turbine power generation model with minimum water consumption), the extracted scene is divided into two types of scenes meeting load requirements and not meeting the load requirements, and the scene meeting the load requirements is continuously divided into a unit speed regulator, if the unit speed regulator is overhauled, whether power station power generation meets the load requirements or not. Therefore, the scenes are further divided into scenes meeting the load demand after the unit overhauls and scenes not meeting the load demand, and clustering calculation is carried out in various layered scenes. 2.22 The distance between different scenes is calculated by adopting WASSERTEIN distances based on a scene reduction criterion of probability measure, then clustering is carried out according to the two-by-two distances between the scenes, two individuals with the nearest distance are selected for clustering each time until a distance threshold is exceeded, cluster merging is stopped, and one scene is randomly selected from the obtained clusters to be used as a representative of the clusters.
3) The method comprises the following specific steps of collecting detection data of the water turbine speed regulator, and establishing a water turbine speed regulator maintenance planning model considering equipment operation safety and power station economic operation: 3.1 A state index system of the water turbine speed regulator is established, and the state, quality grade, running time, running environment, fault rate, maintenance record and water turbine speed regulator detection data of the water turbine speed regulator are collected: no-load swing, no-load disturbance, dead time, static characteristics of the speed regulator and frequency dead zone. Dividing the state grade of the speed regulator of the water turbine into the states according to the state grade; good, normal, abnormal, bad four grades. 3.2 A scenario in which uncertainty factors are considered to correct the state of the turbine governor. If the state is good, the maintenance can be properly delayed, but the loss of the power generation economy of the power station caused by the delayed maintenance period is considered, and the model is as follows: the constraints include: /(I) ；/>；/>；/>；；/>；/>. The upstream incoming water and load demand in the model is 2), and the values of the different scenes are different.
4) Solving a hydraulic turbine speed regulator maintenance plan model based on a natural surviving geometric mean optimization algorithm, which specifically comprises the following steps:
4.1 Initializing a population individual matrix: wherein/> For the j-th individual in the population,/>Is the head at time period n,/>The maintenance state of the 1 st unit in the period n. Population size is nP and the maximum algebra of evolution is MaxI.
4.2 And 2) introducing the scene information in the step 2) into a water turbine speed regulator maintenance plan model to calculate individual fitness values, substituting upstream incoming water and load demand data into constraint conditions, and adopting a penalty function to process and correct when the condition of violating the constraint conditions occurs. 4.3 Checking whether the overhaul information of the unit accords with the state grade of the water turbine governor in the step 3) so as to correct the individual fitness value according to the state of the water turbine governor (when the state of the water turbine governor is bad or normal, the individual fitness value is recalculated, otherwise, the individual fitness value is directly taken and the overhaul continuous days are corrected). 4.4 Calculating individual fuzzy membership degree, wherein the calculation formula is as follows: . Wherein/> For the current population standard deviation,/>Is the current population mean.
4.5 Calculating an individual dual fitness index, wherein the calculation formula is as follows:。
4.6 Using a natural survival mechanism to rank individuals in a population, the design mechanism comprising: and calculating the distance between individuals, and correcting the fitness value according to the distance. The distance calculation formula is as follows: . Wherein X i[1] is the value of the ith individual in the first dimension. A dimension may be understood as a row or a column in a matrix.
The correction formula is as follows: . Wherein F i is the fitness value of the ith individual,/> Are individuals in the population that are at a distance from all individual vectors and maxima.
4.7 Generating and optimizing next generation individuals based on a geometric mean optimizer, i.e., a set mean algorithm. 4.8 Judging whether the evolution stopping condition t > tmax is met, stopping the evolution output result if the condition is met, and returning to 4.2) if the condition is not met.
According to the technical scheme, the multi-scene random generation model of the load demand factors and the runoff factors is constructed, so that the multi-scene random generation model is extracted based on Monte Carlo to obtain an initialization scene, scene clustering and shrinkage limiting processing is carried out on the initialization scene to obtain a target clustering and shrinkage limiting scene, and then the water turbine governor maintenance plan data is determined according to target scene information of the target clustering and shrinkage limiting scene, water turbine governor detection data, water turbine governor state related data and a water turbine governor maintenance plan model. Because load demand and runoff are key factors influencing the economic operation of the water turbine, the target cluster determined by the multi-scene random generation model shortens scenes, the number of scenes required to be considered is greatly reduced, the uncertainty of the scenes is kept, the consideration of economic benefits is also integrated, the finally determined maintenance schedule data of the water turbine speed regulator can meet the maintenance requirement from multiple dimensions, the problem that the maintenance effect is poor in the conventional regular maintenance of the water turbine speed regulator is solved, the maintenance effect of the water turbine speed regulator can be improved, and the management level of the water turbine speed regulator is improved.
Example IV
Fig. 3 is a schematic structural diagram of a hydraulic turbine governor maintenance and evaluation device according to a fourth embodiment of the present invention. As shown in fig. 3, the apparatus includes:
A random generation model construction module 310, configured to construct a multi-scenario random generation model of load demand factors and runoff factors;
The scene cluster shrinkage limiting processing module 320 is configured to extract a multi-scene random generation model based on monte carlo to obtain an initialization scene, and perform scene cluster shrinkage limiting processing on the initialization scene to obtain a target cluster shrinkage limiting scene;
and the maintenance plan data determining module 330 is configured to determine maintenance plan data of the hydraulic turbine governor according to the target scene information of the target cluster shrinkage scene, the hydraulic turbine governor detection data, the hydraulic turbine governor state association data and the hydraulic turbine governor maintenance plan model.
According to the technical scheme, the multi-scene random generation model of the load demand factors and the runoff factors is constructed, so that the multi-scene random generation model is extracted based on Monte Carlo to obtain an initialization scene, scene clustering and shrinkage limiting processing is carried out on the initialization scene to obtain a target clustering and shrinkage limiting scene, and then the water turbine governor maintenance plan data is determined according to target scene information of the target clustering and shrinkage limiting scene, water turbine governor detection data, water turbine governor state related data and a water turbine governor maintenance plan model. Because load demand and runoff are key factors influencing the economic operation of the water turbine, the target cluster determined by the multi-scene random generation model shortens scenes, the number of scenes required to be considered is greatly reduced, the uncertainty of the scenes is kept, the consideration of economic benefits is also integrated, the finally determined maintenance schedule data of the water turbine speed regulator can meet the maintenance requirement from multiple dimensions, the problem that the maintenance effect is poor in the conventional regular maintenance of the water turbine speed regulator is solved, the maintenance effect of the water turbine speed regulator can be improved, and the management level of the water turbine speed regulator is improved.
Optionally, the scene cluster shrinkage processing module 320 is specifically configured to perform scene cluster analysis on the initialized scene based on a hierarchical clustering manner to obtain an initial cluster scene set; and performing scene limiting processing on the initial clustering scene set based on a scene limiting criterion of probability measure to obtain the target clustering limiting scene.
Optionally, the overhaul plan data determination module 330 is specifically configured to initialize a population individual matrix; inputting the group individual matrix and the target scene information into the water turbine governor maintenance planning model to obtain individual fitness values; and determining the hydraulic turbine governor maintenance plan data based on a natural survival geometric mean optimization algorithm, the individual fitness value, the hydraulic turbine governor detection data and the hydraulic turbine governor state association data.
Optionally, the maintenance plan data determining module 330 is specifically configured to determine a state level of the hydraulic turbine governor according to the hydraulic turbine governor detection data and the hydraulic turbine governor state association data; calculating individual fuzzy membership degree, and calculating individual dual fitness index according to the individual fuzzy membership degree; and determining the maintenance plan data of the water turbine speed regulator according to the natural surviving geometric mean optimization algorithm, the individual fitness value, the state grade of the water turbine speed regulator and the individual dual fitness index.
Optionally, the maintenance plan data determining module 330 is specifically configured to correct the individual fitness value according to the state level of the hydraulic turbine governor, so as to obtain a first corrected individual fitness value; sequencing and correcting the initial corrected individual fitness value by utilizing a natural surviving mechanism in the natural surviving geometric mean optimization algorithm to obtain a target individual fitness value; and determining maintenance plan data of the water turbine speed regulator according to a geometric mean optimizer in the natural survival geometric mean optimization algorithm, the individual dual fitness index and the target individual fitness value.
Optionally, the objective function of the hydraulic turbine governor service plan model is as follows: . Wherein Q represents the total water consumption of N period meeting the power generation load,/> Representing the overhaul state of the ith water turbine speed regulator in the t period,/>Representing the water output flow rate of the unit i in the t period,/>Representing the output force of the unit i in the t period,/>The water head of the unit i in the t period is represented, N represents the total maintenance period number, and P represents the total unit number.
The hydraulic turbine speed regulator overhaul evaluation device provided by the embodiment of the invention can execute the hydraulic turbine speed regulator overhaul evaluation method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example five
Fig. 4 shows a schematic structural view of a hydraulic turbine governor service evaluation assembly that may be used to implement an embodiment of the present invention. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the hydro turbine governor service evaluation assembly 10 includes a hydro turbine governor service evaluation component 11 (equivalent to a processor), and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the hydro turbine governor service evaluation component 11, wherein the memory stores a computer program executable by at least one of the hydro turbine governor service evaluation components, and the hydro turbine governor service evaluation component 11 can perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In RAM 13, various programs and data required for operation of the hydraulic turbine governor service evaluation assembly 10 may also be stored. The hydro turbine governor service evaluation part 11, the ROM 12 and the RAM 13 are connected to each other through a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
The various components in the hydro turbine governor service evaluation assembly 10 are connected to an I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a second communication means 19 such as a network card, modem, wireless communication transceiver, etc. The second communication means 19 allows the hydro turbine governor service assessment assembly 10 to exchange information/data with other equipment via a computer network such as the internet and/or various telecommunication networks.
The hydro turbine governor service evaluation component 11 may be a variety of general purpose and/or special purpose processing components having processing and computing capabilities. Some examples of the hydro turbine governor service evaluation component 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various hydro turbine governor service evaluation components running machine learning model algorithms, a digital signal hydro turbine governor service evaluation component (DSP), and any suitable hydro turbine governor service evaluation component, controller, microcontroller, etc. The hydro turbine governor service evaluation component 11 performs the various methods and processes described above, such as the hydro turbine governor service evaluation method.
In some embodiments, the hydro turbine governor service assessment method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the hydro turbine governor service assessment assembly 10 via the ROM 12 and/or the second communication means 19. When the computer program is loaded into RAM 13 and executed by the hydro turbine governor service evaluation component 11, one or more steps of the hydro turbine governor service evaluation method described above may be performed. Alternatively, in other embodiments, the hydro turbine governor service assessment component 11 may be configured to perform the hydro turbine governor service assessment method by any other suitable means (e.g., by means of firmware).
By way of example, the hydraulic turbine governor data collection assembly may include a governor data collection element, ROM, RAM, I/O interface, input unit, output unit, storage unit, first communication element, and a plurality of governor data collection elements. The speed regulator data acquisition component is in communication connection with the I/O interface, the I/O interface is in communication connection with the first communication component, and the speed regulator data acquisition component is connected with the I/O interface through a bus. The connection relation and the function of the same hardware parts in the hydraulic turbine speed regulator data acquisition assembly and the hydraulic turbine speed regulator overhaul evaluation assembly are unchanged, and are not described in detail herein.
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described herein may be implemented on a hydro turbine governor service assessment assembly having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or a trackball) through which a user can provide input to the turbine governor service evaluation component. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. A hydraulic turbine governor service assessment apparatus comprising: the hydraulic turbine speed regulator data acquisition assembly and the hydraulic turbine speed regulator overhaul evaluation assembly;
the hydraulic turbine speed regulator data acquisition assembly comprises a speed regulator data acquisition component and a first communication component; the hydraulic turbine speed regulator overhaul evaluation component comprises a second communication component and a hydraulic turbine speed regulator overhaul evaluation component; the speed regulator data acquisition component, the first communication component, the second communication component and the hydraulic turbine speed regulator overhaul evaluation component are sequentially in communication connection;
the speed regulator data acquisition component is used for acquiring water turbine speed regulator detection data and sending the water turbine speed regulator detection data to the first communication component;
the first communication part is used for sending the water turbine governor detection data to the second communication part;
The second communication component is used for sending the water turbine governor detection data to the water turbine governor maintenance evaluation component;
The hydraulic turbine speed regulator overhaul evaluation component is used for constructing a multi-scene random generation model of load demand factors and runoff factors; extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene clustering shrinkage limiting treatment on the initialization scene to obtain a target clustering shrinkage limiting scene; and determining the water turbine governor maintenance plan data according to the target scene information of the target cluster shrinkage scene, the water turbine governor detection data, the water turbine governor state association data and the water turbine governor maintenance plan model.
2. The apparatus of claim 1, wherein the hydraulic turbine governor service assessment component is specifically configured to:
Performing scene cluster analysis on the initialization scene based on a hierarchical clustering mode to obtain an initial clustering scene set;
and performing scene limiting processing on the initial clustering scene set based on a scene limiting criterion of probability measure to obtain the target clustering limiting scene.
3. The apparatus according to claim 2, characterized in that said hydraulic turbine governor service evaluation means are specifically adapted to:
Initializing a population individual matrix;
inputting the group individual matrix and the target scene information into the water turbine governor maintenance planning model to obtain individual fitness values;
and determining the hydraulic turbine governor maintenance plan data based on a natural survival geometric mean optimization algorithm, the individual fitness value, the hydraulic turbine governor detection data and the hydraulic turbine governor state association data.
4. The apparatus of claim 3, wherein the hydraulic turbine governor service assessment component is specifically configured to:
Determining the state grade of the water turbine speed regulator according to the water turbine speed regulator detection data and the water turbine speed regulator state association data;
Calculating individual fuzzy membership degree, and calculating individual dual fitness index according to the individual fuzzy membership degree;
And determining the maintenance plan data of the water turbine speed regulator according to the natural surviving geometric mean optimization algorithm, the individual fitness value, the state grade of the water turbine speed regulator and the individual dual fitness index.
5. The apparatus of claim 4, wherein the hydraulic turbine governor service assessment component is specifically configured to:
Correcting the individual fitness value according to the state grade of the water turbine speed regulator to obtain a primary corrected individual fitness value;
Sequencing and correcting the initial corrected individual fitness value by utilizing a natural surviving mechanism in the natural surviving geometric mean optimization algorithm to obtain a target individual fitness value;
And determining maintenance plan data of the water turbine speed regulator according to a geometric mean optimizer in the natural survival geometric mean optimization algorithm, the individual dual fitness index and the target individual fitness value.
6. The apparatus of claim 1 wherein the objective function of the hydraulic turbine governor service plan model is represented by the formula:
；
wherein, Indicating the total water consumption of N time period meeting the power generation load,/>Representing the overhaul state of the ith water turbine speed regulator in the t period,/>Representing the water output flow rate of the unit i in the t period,/>Representing the output force of the unit i in the t period,/>The water head of the unit i in the t period is represented, N represents the total maintenance period number, and P represents the total unit number.
7. The apparatus of claim 1, wherein the governor data acquisition component comprises at least one governor data acquisition sub-component, each comprising an idle test data acquisition sensor and an oscilloscope.
8. A water turbine governor service evaluation method, characterized by being executed by the water turbine governor service evaluation component in the water turbine governor service evaluation apparatus according to any one of claims 1 to 7, comprising:
Constructing a multi-scene random generation model of load demand factors and runoff factors;
Extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene clustering shrinkage limiting treatment on the initialization scene to obtain a target clustering shrinkage limiting scene;
And determining the repair plan data of the water turbine governor according to the target scene information of the target cluster shrinkage scene, the water turbine governor detection data, the water turbine governor state association data and the repair plan model of the water turbine governor.
9. A hydraulic turbine governor service evaluation apparatus, characterized by being provided in the hydraulic turbine governor service evaluation part in the hydraulic turbine governor service evaluation device according to any one of claims 1 to 7, comprising:
the random generation model construction module is used for constructing a multi-scene random generation model of the load demand factors and the runoff factors;
The scene cluster limiting processing module is used for extracting a multi-scene random generation model based on Monte Carlo to obtain an initialization scene, and performing scene cluster limiting processing on the initialization scene to obtain a target cluster limiting scene;
And the maintenance plan data determining module is used for determining the maintenance plan data of the water turbine speed regulator according to the target scene information of the target clustering shrinkage scene, the water turbine speed regulator detection data, the water turbine speed regulator state association data and the water turbine speed regulator maintenance plan model.
10. A computer readable storage medium having stored thereon computer instructions for performing a method for implementing the hydraulic turbine governor service assessment of claim 8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410309646.1A CN117911010A (en) | 2024-03-19 | 2024-03-19 | Water turbine speed regulator overhaul evaluation equipment, method, device and medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410309646.1A CN117911010A (en) | 2024-03-19 | 2024-03-19 | Water turbine speed regulator overhaul evaluation equipment, method, device and medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117911010A true CN117911010A (en) | 2024-04-19 |
Family
ID=90696266
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410309646.1A Pending CN117911010A (en) | 2024-03-19 | 2024-03-19 | Water turbine speed regulator overhaul evaluation equipment, method, device and medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117911010A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003032131A2 (en) * | 2001-10-12 | 2003-04-17 | Abb Inc. | Energy market maintenance planning |
| CN112686432A (en) * | 2020-12-17 | 2021-04-20 | 湖北工业大学 | Multi-objective hydropower-wind power optimal scheduling model method |
| CN114021783A (en) * | 2021-10-22 | 2022-02-08 | 国网冀北电力有限公司 | Two-stage monthly unit combination and maintenance plan optimization method considering social carbon-like emission factors and short-term benefits |
| CN116881658A (en) * | 2023-07-12 | 2023-10-13 | 南方电网调峰调频发电有限公司检修试验分公司 | Intelligent state evaluation method and system for hydroelectric generating set |
| CN117370857A (en) * | 2023-10-09 | 2024-01-09 | 南方电网调峰调频发电有限公司检修试验分公司 | Water turbine governor management method, device, equipment and storage medium |
| CN117422183A (en) * | 2023-12-18 | 2024-01-19 | 国网四川省电力公司 | Unit overhaul optimization method, device, equipment and storage medium |
-
2024
- 2024-03-19 CN CN202410309646.1A patent/CN117911010A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2003032131A2 (en) * | 2001-10-12 | 2003-04-17 | Abb Inc. | Energy market maintenance planning |
| CN112686432A (en) * | 2020-12-17 | 2021-04-20 | 湖北工业大学 | Multi-objective hydropower-wind power optimal scheduling model method |
| CN114021783A (en) * | 2021-10-22 | 2022-02-08 | 国网冀北电力有限公司 | Two-stage monthly unit combination and maintenance plan optimization method considering social carbon-like emission factors and short-term benefits |
| CN116881658A (en) * | 2023-07-12 | 2023-10-13 | 南方电网调峰调频发电有限公司检修试验分公司 | Intelligent state evaluation method and system for hydroelectric generating set |
| CN117370857A (en) * | 2023-10-09 | 2024-01-09 | 南方电网调峰调频发电有限公司检修试验分公司 | Water turbine governor management method, device, equipment and storage medium |
| CN117422183A (en) * | 2023-12-18 | 2024-01-19 | 国网四川省电力公司 | Unit overhaul optimization method, device, equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 张侃君 等: "计及不确定性因素影响的变电站220kV 侧检修规划", 高电压技术, 10 January 2024 (2024-01-10), pages 1 - 13 * |
| 许奕斌 等: "计及灵活性的检修―运行协同优化模型及算法", 电力系统自动化, no. 11, 7 March 2018 (2018-03-07), pages 32 - 40 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106054104B (en) | A kind of intelligent electric meter failure real-time predicting method based on decision tree | |
| CN108375715B (en) | Power distribution network line fault risk day prediction method and system | |
| CN105677791B (en) | For analyzing the method and system of the operation data of wind power generating set | |
| CN108320043A (en) | A kind of distribution network equipment state diagnosis prediction method based on electric power big data | |
| CN106021062B (en) | The prediction technique and system of relevant fault | |
| CN109583520B (en) | State evaluation method of cloud model and genetic algorithm optimization support vector machine | |
| CN110570012B (en) | Storm-based power plant production equipment fault early warning method and system | |
| CN107679768A (en) | A kind of Situation Awareness System and its construction method based on real-time data of power grid | |
| CN109800995A (en) | A kind of grid equipment fault recognition method and system | |
| CN111190349A (en) | Method, system and medium for monitoring state and diagnosing fault of ship engine room equipment | |
| CN109491339B (en) | Big data-based substation equipment running state early warning system | |
| CN110388315A (en) | Oil transfer pump fault recognition method, apparatus and system based on Multi-source Information Fusion | |
| CN110348683A (en) | The main genetic analysis method, apparatus equipment of electrical energy power quality disturbance event and storage medium | |
| CN116523140A (en) | Method and device for detecting electricity theft, electronic equipment and storage medium | |
| CN115688581A (en) | Oil gas gathering and transportation station equipment parameter early warning method, system, electronic equipment and medium | |
| CN117034149A (en) | Fault processing strategy determining method and device, electronic equipment and storage medium | |
| CN112949181A (en) | Early warning prediction method of multi-source associated data, storage medium and electronic equipment | |
| CN117370857A (en) | Water turbine governor management method, device, equipment and storage medium | |
| CN117911010A (en) | Water turbine speed regulator overhaul evaluation equipment, method, device and medium | |
| CN116151799A (en) | BP neural network-based distribution line multi-working-condition fault rate rapid assessment method | |
| CN115650006A (en) | Elevator safety monitoring and early warning method and system based on big data | |
| CN114442543A (en) | Computer monitoring method suitable for early warning of hydropower station fault | |
| CN115598459A (en) | Power failure prediction method for 10kV feeder line fault of power distribution network | |
| CN111144751A (en) | Method and system for determining power accident occurrence risk based on behavior analysis | |
| Cervantes et al. | Contingency ranking in power systems via reliability rates |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |