CN109872077A - The method for evaluating state and device of double-water internal cooling synchronous capacitor cooling water system - Google Patents

The method for evaluating state and device of double-water internal cooling synchronous capacitor cooling water system Download PDF

Info

Publication number
CN109872077A
CN109872077A CN201910178117.1A CN201910178117A CN109872077A CN 109872077 A CN109872077 A CN 109872077A CN 201910178117 A CN201910178117 A CN 201910178117A CN 109872077 A CN109872077 A CN 109872077A
Authority
CN
China
Prior art keywords
index
evaluation
water system
cloud
cooling water
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.)
Granted
Application number
CN201910178117.1A
Other languages
Chinese (zh)
Other versions
CN109872077B (en
Inventor
曹志伟
王安东
孙福春
孙善华
王继豪
李俊卿
雍军
邢海文
李明
辜超
许光可
张围围
李星
陈令英
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
State Grid Shandong Electric Power Co Ltd
North China Electric Power University
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
State Grid Shandong Electric Power Co Ltd
North China Electric Power University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd, State Grid Shandong Electric Power Co Ltd, North China Electric Power University filed Critical State Grid Corp of China SGCC
Priority to CN201910178117.1A priority Critical patent/CN109872077B/en
Publication of CN109872077A publication Critical patent/CN109872077A/en
Application granted granted Critical
Publication of CN109872077B publication Critical patent/CN109872077B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Tests Of Circuit Breakers, Generators, And Electric Motors (AREA)

Abstract

The present invention proposes the method for evaluating state and its device of a kind of double-water internal cooling synchronous capacitor cooling water system, solves the problems, such as the Real-Time Evaluation of double-water internal cooling synchronous motor stator cooling water system and rotor cooling water system health status, dimension, the division of health status grade, the determination of each evaluation criterion weight and specific state evaluation step are gone in foundation, evaluation index including Stator Condense Water System and rotor cooling water system state evaluation index system.The present invention establishes the changeable weight of each index using entropy assessment in real time, cloud to be evaluated and each standard cloud are determined based on similar cloud similarity, the health status that cooling water system is determined using maximum similarity principle.The present invention is able to reflect out the true health status of double-water internal cooling synchronous motor stator cooling water system and rotor cooling water system, and can realize the presence evaluation of cooling water system.

Description

The method for evaluating state and device of double-water internal cooling synchronous capacitor cooling water system
Technical field
The present invention relates to synchronous motor metrics evaluation, operation and maintenance and maintenance fields, more specifically it relates in a kind of double water The method for evaluating state and device of cold synchronous motor.
Background technique
In recent years, it with the continuous planning and operation of extra-high voltage direct-current transmission engineering, conveys in electric process, inverter needs Consume a large amount of reactive power.If grid collapses, in quick dynamic adjustment process, the reactive power that needs to absorb It will be significantly increased;And when network voltage is excessively high, and need to discharge reactive power, it is wanted with meeting power grid to voltage stability It asks.As it can be seen that reactive power is insufficient or surplus will all cause the unstable of alternating voltage, entire AC and DC may be jeopardized when serious The safe and stable operation of system.Since synchronous capacitor can easily be accommodated, reactive power but also absorbing reactive power can be issued, Apply it in extra-high voltage alternating current-direct current power transmission engineering.
In view of synchronous capacitor negligible amounts of new generation, runing time is still short, and its running environment and institute's bringing onto load are complicated It is changeable, so it is still necessary to time checks for its reliability.Therefore in order to guarantee the medium-and-large-sized phase modulation unit of extra-high voltage alternating current-direct current power transmission engineering It is efficient operation and safe and stable operation, it is necessary to correct evaluation is made to its health status, so as to reasonable arrangement safeguard and examine It repairs, extends the service life of phase modifier.
Structure is complicated for novel high-capacity synchronous capacitor, in order to dissipate the heat generated when motor operation in time, control The temperature rise of motor guarantees that the normal operation of its cooling system is most important.Twin internal water cooling type is the synchronous phase modulation of novel high-capacity One of important type of cooling of machine, important auxiliary system of the cooling water system as double-water internal cooling synchronous motor, performance are direct Influence the economy and reliability of motor operation.Since cooling water-cooling system is important in synchronous motor safe and stable operation Status needs the health status of accurate evaluation cooling water system, to find and exclude its potential faults in time.
Novel high-capacity synchronous capacitor is equipped with a large amount of sensor, can monitor some important physical quantitys in time, but How using health status of these monitoring quantities to phase modifier cooling water system correct evaluation is made, yet there are no report.Together The reliability of motor is walked usually before putting into operation and when certain cycle of operation carries out preventive experiment and judges whether motor needs Maintenance.
The preventive experiment of synchronous motor cooling water system is usually cut off the water supply experiment and the through-flow experiment of hollow core conductor, for water There is also insufficient for the daily maintenance and running state analysis of system: preventive experiment general interval time is longer, it is difficult to instruct Daily maintenance;Preventive experiment is not comprehensive enough to the health status evaluation of the entire water system of synchronous motor, it is difficult to discovery event in time Hinder hidden danger.
Summary of the invention
It there is no the evaluation method about synchronous capacitor cooling water system at present.This method slight event can occur in system When barrier and failure, specific malfunctioning sub-system is provided, convenient for searching trouble location, implements maintenance.Meanwhile this method can to system into The evaluation of row presence.
Specifically, the present invention proposes a kind of method for evaluating state of double-water internal cooling synchronous capacitor cooling water system, it is special Sign is, includes the following steps:
S1: the state evaluation index system of double-water internal cooling synchronous capacitor cooling water system is established;
S2: grade classification is carried out to the health status of the cooling water system;
S3: evaluation index is pre-processed;
S4: the health status of the cooling water system is evaluated.
Further, step S1 is specifically included:
S11: Stator Condense Water System and rotor cooling water system are divided into several subsystems respectively;
S12: its assessment indicator system is established for above-mentioned each subsystem, selection can embody the object of subsystem operating status Reason amount, in conjunction with the mounted sensor of synchronous capacitor, the assessment indicator system of foundation.
Further,
The subsystem of Stator Condense Water System include stator hollow-section strand, water tank, water pump, heat exchanger, water filter, from Sub- exchanger and adder-subtractor;The subsystem of rotor cooling water system includes rotor hollow core conductor, water tank, water pump, heat exchanger And water filter.
Further, in step S2, according to the characteristics of motor water- cooling generator and the operating experience of synchronous generator, by institute The health status for stating cooling water system is divided into four grades, is respectively as follows: good, normal, early warning, failure.
Wherein step S3 includes:
S31: selection synchronous capacitor three-phase load is symmetrical, evaluates the health status of cooling water system;
S32: dimension is gone to evaluation index, and the index after dimensionless is indicated with impairment grade, the numerical value of impairment grade is got over It is small, indicate that the performance of its corresponding health status is better.
In step S32, according to the data characteristics of evaluation index, it is classified as two types, upper and lower interval type and upper pole Limit value type carries out dimension using different methods for different types of index;Wherein interval type refers to up and down: index Value bit belongs to normal when a certain section;When exceeding Upper-lower Limit, illustrate failure occurred;Higher extreme value type index is Refer to, index value is no more than a certain numerical value, otherwise, should shut down processing.
Further, for upper and lower interval type index, impairment grade are as follows:
Wherein g (x) is impairment grade, and x is quantizating index, xmax、xminThe respectively Upper-lower Limit value of index, α~β are to refer to Mark the range of permissible value.
Further, for higher extreme value type index, impairment grade is
Wherein g (x) is impairment grade, and x is quantizating index, and δ is the permissible value that index operates normally, xmaxFor the upper pole of index Limit value.
Further, if impairment grade g=1, judge that state is malfunction at this time, terminate evaluation procedure.
Further, if g ≠ 1, S4 is entered step.
Further, step S4 is specifically included:
S41: the standard cloud of four kinds of Health Categories is established;
S42: the weight of each evaluation index is sought;
S43: in the period to be evaluated, using the monitoring data of each evaluation index of cooling water system, it is cooling to find out the period The numerical characteristic of the cloud model of water system;
S44: the similarity of cloud to be evaluated Yu standard cloud is sought;
S45: evaluation result is provided.
Further, in step S41, Normal Cloud is made of a large amount of water dusts, model characteristics by three parameters (Ex, En, He it) indicates;Wherein Ex is the desired value of Normal Cloud, indicates that water dust in the central value of spatial distribution, represents a certain qualitativing concept Numerical characteristic;En is entropy, indicates the uncertainty of qualitativing concept, is codetermined by the randomness and ambiguity of concept, and En is smaller, Concept intensity is higher, indicates that observed result is more reliable;He is super entropy, indicates the uncertainty of entropy, and He is smaller, water dust cohesion Degree is higher, indicates that extraneous factor influence probabilistic on observation error is smaller.
Further, step S42 is specifically included:
The real time weight of each index is determined using comentropy, considers operating status variation to cooling water system health degree It influences;The specific steps of which are as follows:
The entropy of each evaluation index is defined according to information entropy theory first are as follows:
In formula: N is the number of samples of each index, and m is evaluation index number, gijIt is i-th of evaluation index in j sample In impairment grade;The case where in view of impairment grade being zero, defines 0ln0=0;
The then weight expression formula of each evaluation index are as follows:
In formula, wiFor the weight of each evaluation index,
Further, step S43 includes:
The impairment grade of each evaluation index is carried out by data fusion using weight first, then using fused data ask to The numerical characteristic C (Ex, En, He) of evaluation state cloud model;Specific step is as follows:
Step 1: seeking the fusion value of evaluation index in each group sample using weight;
Step 2: asking the numerical characteristic of cloud to be evaluated: desired value Ex, entropy En, sample side using fused impairment grade Poor S2With super entropy He;
Further, step S44 includes:
The similarity of cloud C (Ex, En, He) to be evaluated and standard cloud Cj (Exj, Enj, Hej) are calculated using following methods:
Step 1: generating M normal random number of cloud to be evaluated
En'=NORM (En,He2) and xi=NORM (Ex,En2) (i=1 ..., M)
Step 2: calculating xiDegree of membership in standard cloud Cj (Exj, Enj, Hej)
Step 3: seeking the similarity of standard cloud under cloud to be evaluated and each health status
Further, the maximum corresponding states of similarity is taken, as final appraisal results.
The present invention also proposes a kind of device for realizing the above method, comprising:
State evaluation index system module is constructed, the state for establishing double-water internal cooling synchronous capacitor cooling water system is commented Valence index system;
Health status grade classification module, for the health status of the water-cooling system to be divided into different brackets;
State evaluation index preprocessing module, for being pre-processed to evaluation index;
Health status evaluation module is evaluated for the health status to the water-cooling system period to be evaluated;
Evaluation result module is provided, for providing the health status of water-cooling system period to be evaluated.
Compared with prior art, the present invention having technical effect beneficial below:
The present invention can avoid the subjectivity of evaluation, ensure that the objectivity of evaluation result, can accurately reflect synchronous motor The health status of cooling water system provides specific malfunctioning sub-system, is convenient for when minor failure or catastrophe failure occurs in system Trouble location is searched, maintenance is implemented.Meanwhile this method can realize that presence is evaluated, and lay a good foundation for repair based on condition of component.
Detailed description of the invention
Fig. 1 is synchronous capacitor cooling water system structure chart of the invention.
Fig. 2 shows the standard clouds of four established kind health status of the invention.
Fig. 3 shows the evaluation rubric figure of cooling water system of the present invention.
Fig. 4 shows the evaluation cloud of Stator Condense Water System of the invention.
Fig. 5 shows the structure drawing of device for realizing evaluation method of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention Attached drawing, the technical solution of the embodiment of the present invention is clearly and completely described.Obviously, described embodiment is this hair Bright a part of the embodiment, instead of all the embodiments.Based on described the embodiment of the present invention, ordinary skill Personnel's every other embodiment obtained, shall fall within the protection scope of the present invention.
The method for evaluating state of double-water internal cooling synchronous capacitor cooling water system of the present invention is as described below.
1. establishing the state evaluation index system of double-water internal cooling synchronous capacitor cooling water system
Stator Condense Water System and rotor cooling water system are divided into several subsystems respectively by 1.1
Fig. 1 shows the structure chart of synchronous capacitor Stator Condense Water System and rotor cooling water system.
As shown in Figure 1, Stator Condense Water System is enclosed self-circulation system.Cooling water in stator water tank is pushed away by water pump It is dynamic to enter heat exchanger, the stator coil and lead-out wire of synchronous motor are then flowed by water filter, means for protecting power device when water-break etc., The heat that stator winding generates is taken away, stator water tank is flowed back to, completes a water circulation.In order to guarantee the water of stator cooling water Matter is controlled using bypass cooling water.The a part of cooling water after water filter enters ion-exchanger plus alkali dress It sets, is then return to stator water tank, to control the conductivity and pH value of cooling water, avoid corrosion of the cooling water to copper conductor.
Rotor cooling water system is open type self-circulation system.Cooling water in rotor water box is forced into hot friendship by water pump The centre bore that parallel operation, water filter, means for protecting power device when water-break etc. flow into leading-out terminal enters rotor intake chamber, then in the work of centrifugal force Under, the hollow core conductor in rotor bar is flowed by insulating water inlet pipe, is drawn from the other end (non-leading-out terminal) of coil through insulation Water pipe outflow, takes away the heat of rotor windings generation, gets rid of into header tank, finally returns to rotor water box under gravity.
According to the composition of said stator cooling water system and rotor cooling water system, respectively by Stator Condense Water System and turn Sub- cooling water system is divided into several subsystems.The subsystem of Stator Condense Water System includes stator hollow-section strand, water tank, water Pump, heat exchanger, water filter, ion-exchanger and adder-subtractor.The subsystem of rotor cooling water system includes that rotor is hollow Conducting wire, water tank, water pump, heat exchanger and water filter.
1.2 establish its assessment indicator system for each subsystem, and selection can embody the physical quantity of subsystem operating status, In conjunction with the mounted sensor of synchronous capacitor, the assessment indicator system of foundation is as shown in Table 1 and Table 2.
The assessment indicator system of 1 Stator Condense Water System of table
The assessment indicator system of 2 rotor cooling water system of table
2. the division of state grade
The health status of synchronous capacitor is the fuzzy process of a gradual change, is difficult quantificational expression, so using qualitative Method describes the health status of synchronous capacitor.According to the characteristics of motor water- cooling generator and the operating experience of synchronous generator, The health status that synchronous capacitor is divided using level Four evaluation mechanism, the health status of synchronous capacitor water- cooling generator is divided For four grades, it is respectively as follows: good, normal, early warning, failure.The corresponding health status of each grade is as shown in table 3.
The meaning of the different health status of table 3
3. a pair evaluation index pre-processes
3.1 selection evaluation index data.
If carrying out health assessment just for cooling water system, in order to simplify evaluation procedure, synchronous capacitor three may be selected Phase load is symmetrical, i.e., three-phase current and three-phase voltage respectively symmetrically in the case of operation data, to the healthy shape of cooling water system State is evaluated.
3.2 pairs of evaluation indexes go dimension
Since structure is complicated for inner cold water, the dimension of evaluation index is more, and numerical value difference is larger, for the ease of evaluation, will locate Dimension is gone in the evaluation index of different numberical ranges, is converted to same numerical intervals, usually takes [0,1] section.According to above-mentioned The data characteristics of evaluation index, is classified as two types: upper and lower interval type and higher extreme value type.For different types of finger Mark, carries out dimension using different methods.Index after dimensionless indicates that the numerical value of impairment grade is smaller, table with impairment grade It is better to show that it corresponds to the performance of health status.
(1) interval type index up and down
For upper and lower interval type index, when index value is located at a certain section, belong to normal.When exceeding Upper-lower Limit, Illustrate failure occurred.Belong to having for this kind of index: the water inlet of rotor coil and leaving water temperature, disengaging differential water pressures, water tank Water surface liquid level, the outlet pressure of water pump, voltage, electric current and power, the pH value of cooling water, the conductivity of water, flow etc..Impairment grade Calculation method be
xmax、xminThe respectively Upper-lower Limit value of index, α~β are the range of index permissible value.
(2) higher extreme value type index
For higher extreme value type index, it is desirable that its numerical value is no more than a certain numerical value, otherwise, should shut down processing.As determined The requirements such as temperature difference of outlet water, the dissolved oxygen amount of water, the copper content of water, the hardness of water of sub- same layer bar are lower than a certain limiting value, number The lower value the better.Its impairment grade is
δ is the permissible value that index operates normally, xmaxFor the higher extreme value of index.
4. health status evaluation method
Since the health status of equipment is a kind of fuzzy, qualitative concept, and cloud model preferably features the mould of things Paste property and randomness, therefore the health status of phase modifier water- cooling generator for ease of description, by the qualitativing concept of health status Quantified by Normal Cloud.The a certain number four kinds of Health Categories of cooling water system being quantified as first in Normal Cloud distribution Value;Then according to the period to be evaluated, the monitoring data of each index of cooling water system find out the cloud number of the period cooling water system Word feature and cloud model;Finally, cloud to be evaluated is compared with the standard cloud of four kinds of Health Categories, it is maximum etc. with the degree of approach Grade is as final evaluation result.
4.1 establish the standard cloud of four kinds of Health Categories
Normal Cloud is made of a large amount of water dusts, and model characteristics are indicated by three parameters (Ex, En, He).Wherein Ex is normal state The desired value of cloud indicates that water dust in the central value of spatial distribution, represents the numerical characteristic of a certain qualitativing concept;En is entropy, is indicated The uncertainty of qualitativing concept is codetermined by the randomness and ambiguity of concept, and En is smaller, and concept intensity is higher, table Show that observed result is more reliable;He be super entropy, indicate the uncertainty of entropy, He is smaller, water dust agglomerate degree it is higher, indicate the external world because Element influence probabilistic on observation error is smaller.With the numerical characteristic such as table for four kinds of Health Category standard clouds that impairment grade indicates Shown in 4.Fig. 2 shows the standard clouds of four kinds of health status.
The numerical characteristic of the corresponding standard cloud of 4 health status of table
Health Category Well/c1 Normally/c2 Early warning/c3 Failure/c4
Desired value Ex 0 0.33 0.66 1
Entropy En 0.1 0.1 0.1 0.1
Super entropy He 0.01 0.01 0.01 0.01
4.2 seek the weight of each evaluation index
Since susceptibility of each evaluation index to evaluation result is different, the effect played in state evaluation is also different, Indicate each evaluation index to the influence degree of evaluation result with weight.In order to avoid the interference of artificial subjective factor, guarantee to comment The objectivity of valence result determines the real time weight of each index using comentropy, considers that operating status variation is strong to cooling water system The influence of Kang Chengdu.
The entropy of each evaluation index is defined according to information entropy theory first are as follows:
In formula (3): N is the number of samples of each index, and m is evaluation index number, gijIt is i-th of evaluation index at j Impairment grade in sample.The case where in view of impairment grade being zero, defines 0ln0=0.
The then weight expression formula of each evaluation index are as follows:
In formula, wiFor the weight of each evaluation index,
4.3 seek the numerical characteristic of period cloud model to be evaluated
The impairment grade of each evaluation index is carried out by data fusion using weight first, then using fused data ask to The numerical characteristic C (Ex, En, He) of evaluation state cloud model.Specific step is as follows:
Step 1: seeking the fusion value of evaluation index in each group sample using weight;
Step 2: asking the numerical characteristic of cloud to be evaluated: desired value Ex, entropy En, sample side using fused impairment grade Poor S2With super entropy He;
4.4 seek the similarity of cloud to be evaluated Yu standard cloud
The similarity of cloud C (Ex, En, He) to be evaluated and standard cloud Cj (Exj, Enj, Hej) are calculated using following methods:
Step 1: generating M normal random number E of cloud to be evaluatedn'=NORM (En,He2) and xi=NORM (Ex,En2) (i=1 ..., M)
Step 2: calculating xiDegree of membership in standard cloud Cj (Exj, Enj, Hej)
Step 3: seeking the similarity of standard cloud under cloud to be evaluated and each health status
4) evaluation result is provided
The maximum corresponding states of similarity is taken, as final appraisal results.
Fig. 5 shows the structure drawing of device for realizing evaluation method of the present invention.
As shown in figure 5, the device includes following components: building state evaluation index system module, health status etc. Grade division module, health status evaluation module, provides evaluation result module at state evaluation index preprocessing module.
The function of each module is as follows:
State evaluation index system module is constructed, the state for establishing double-water internal cooling synchronous capacitor cooling water system is commented Valence index system;
Health status grade classification module, for the health status of the water-cooling system to be divided into different brackets;
State evaluation index preprocessing module, for being pre-processed to evaluation index;
Health status evaluation module is evaluated for the health status to the water-cooling system period to be evaluated;
Evaluation result module is provided, for providing the health status of water-cooling system period to be evaluated.
Below by taking the Stator Condense Water System of the 300Mvar synchronous capacitor of certain converter station as an example, illustrate this evaluation method Implementation process and evaluation effect.
The operation data for acquiring These parameters first, selects operation when phase modifier three-phase voltage and symmetrical three-phase current Source data of the data as state evaluation, then process is evaluated as shown in Figure 3.According to monitoring data, calculate to be evaluated Desired value Ex, the entropy En and super entropy He of cloud, obtained cloud c to be evaluated are as shown in figure 4, cloud to be evaluated and each standard cloud are carried out Compare, the similarity that cloud to be evaluated and each standard cloud is calculated is as shown in table 5.As shown in Table 5, the stator of the phase modifier is cooling It is normal condition that water system, which is in, is consistent with actual conditions.
The similarity of the cloud to be evaluated of table 5 and each standard cloud
Well/c1 Normally/c2 Early warning/c3 Failure/c4 Evaluation result
0.2498 0.4330 0.0172 6.1349e-06 Normally
Applicant combines Figure of description to be described in detail and describe the embodiment of the present invention, but this field skill Art personnel are it should be understood that above embodiments are only the preferred embodiments of the invention, and explanation is intended merely to help reader in detail More fully understand spirit of that invention, and it is not intended to limit the protection scope of the present invention, on the contrary, any based on invention essence of the invention Any improvement or modification made by mind should all be fallen within the scope and spirit of the invention.

Claims (17)

1. a kind of method for evaluating state of double-water internal cooling synchronous capacitor cooling water system, which comprises the steps of:
S1: the state evaluation index system of double-water internal cooling synchronous capacitor cooling water system is established;
S2: grade classification is carried out to the health status of the cooling water system;
S3: evaluation index is pre-processed;
S4: the health status of the cooling water system is evaluated.
2. evaluation method according to claim 1, which is characterized in that wherein step S1 is specifically included:
S11: Stator Condense Water System and rotor cooling water system are divided into several subsystems respectively;
S12: its assessment indicator system is established for above-mentioned each subsystem, selection can embody the physics of subsystem operating status Amount, in conjunction with the mounted sensor of synchronous capacitor, establishes its assessment indicator system.
3. evaluation method according to claim 2, which is characterized in that
The subsystem of Stator Condense Water System includes stator hollow-section strand, water tank, water pump, heat exchanger, water filter, ion friendship Parallel operation and adder-subtractor;The subsystem of rotor cooling water system includes rotor hollow core conductor, water tank, water pump, heat exchanger and water Filter.
4. evaluation method according to claim 1, which is characterized in that
In step S2, according to the characteristics of motor water- cooling generator and the operating experience of synchronous generator, by the cooling water system Health status be divided into four grades, be respectively as follows: good, normal, early warning, failure.
5. evaluation method according to claim 1, which is characterized in that step S3 includes:
S31: selection synchronous capacitor three-phase load is symmetrical, evaluates the health status of the cooling water system;
S32: dimension is gone to evaluation index, and the index after dimensionless is indicated with impairment grade, the numerical value of impairment grade is smaller, table Show that the performance of its corresponding health status is better.
6. evaluation method according to claim 5, which is characterized in that special according to the data of evaluation index in step S32 Sign, is classified as two types, upper and lower interval type and higher extreme value type, for different types of index, using different sides Method carries out dimension;Wherein interval type refers to up and down: when index value is located at a certain section, belonging to normal;When beyond upper and lower When the limit, illustrate failure occurred;Higher extreme value type index refers to that index value is no more than a certain numerical value, otherwise, Ying Yuting Machine processing.
7. evaluation method according to claim 6, which is characterized in that for upper and lower interval type index, impairment grade are as follows:
Wherein g (x) is impairment grade, and x is quantizating index, xmax、xminThe respectively Upper-lower Limit value of index, α~β permit for index Perhaps the range being worth.
8. evaluation method according to claim 6, which is characterized in that for higher extreme value type index, impairment grade is
Wherein g (x) is impairment grade, and x is quantizating index, and δ is the permissible value that index operates normally, xmaxFor the higher extreme value of index.
9. evaluation method according to claim 7 or 8, which is characterized in that if impairment grade g=1, judge state at this time For malfunction, terminate evaluation procedure.
10. evaluation method according to claim 7 or 8, which is characterized in that if g ≠ 1, enter step S4.
11. evaluation method according to claim 10, which is characterized in that step S4 is specifically included:
S41: the standard cloud of four kinds of Health Categories is established;
S42: the weight of each evaluation index is sought;
S43: in the period to be evaluated, using the monitoring data of each evaluation index of the cooling water system, it is cooling to find out the period The cloud model and numerical characteristic of water system;
S44: the similarity of cloud to be evaluated Yu standard cloud is sought;
S45: evaluation result is provided.
12. evaluation method according to claim 11, which is characterized in that strong by four kinds of cooling water system in step S41 Health grade quantizing is a certain numerical value in Normal Cloud distribution;Wherein Normal Cloud is made of a large amount of water dusts, and model characteristics are by three Parameter (Ex, En, He) indicates;Wherein Ex is the desired value of Normal Cloud, indicates that water dust in the central value of spatial distribution, represents a certain The numerical characteristic of qualitativing concept;En is entropy, indicates the uncertainty of qualitativing concept, is determined jointly by the randomness and ambiguity of concept Fixed, En is smaller, and concept intensity is higher, indicates that observed result is more reliable;He is super entropy, indicates the uncertainty of entropy, He is got over Small, water dust cohesion degree is higher, indicates that extraneous factor influence probabilistic on observation error is smaller.
13. evaluation method according to claim 12, which is characterized in that step S42 is specifically included:
The real time weight of each index is determined using comentropy, considers operating status variation to the shadow of cooling water system health degree It rings;The specific steps of which are as follows:
The entropy of each evaluation index is defined according to information entropy theory first are as follows:
In formula: N is the number of samples of each index, and m is evaluation index number, gijIt is i-th of evaluation index in j sample Impairment grade;The case where in view of impairment grade being zero, defines 0ln0=0;
The then weight expression formula of each evaluation index are as follows:
In formula, wiFor the weight of each evaluation index,
14. evaluation method according to claim 13, which is characterized in that step S43 includes:
The impairment grade of each evaluation index is carried out by data fusion using weight first, then asks to be evaluated using fused data The numerical characteristic C (Ex, En, He) of state cloud model;Specific step is as follows:
Step 1: seeking the fusion value of evaluation index in each group sample using weight;
Step 2: asking the numerical characteristic of cloud to be evaluated: desired value Ex, entropy En, sample variance S using fused impairment grade2 With super entropy He;
15. evaluation method according to claim 14, which is characterized in that step S44 includes:
The similarity of cloud C (Ex, En, He) to be evaluated and standard cloud Cj (Exj, Enj, Hej) are calculated using following methods:
Step 1: generating M normal random number of cloud to be evaluated
En'=NORM (En,He2) and xi=NORM (Ex,En2) (i=1 ..., M)
Step 2: calculating xiDegree of membership in standard cloud Cj (Exj, Enj, Hej)
Step 3: seeking the similarity of standard cloud under cloud to be evaluated and each health status
16. evaluation method according to claim 15, which is characterized in that the maximum corresponding states of similarity is taken, as most Whole evaluation result.
17. a kind of device for realizing one of such as claim 1-16 the method characterized by comprising
State evaluation index system module is constructed, the state evaluation for establishing double-water internal cooling synchronous capacitor cooling water system refers to Mark system;
Health status grade classification module, for the health status of the water-cooling system to be divided into different brackets;
State evaluation index preprocessing module, for being pre-processed to evaluation index;
Health status evaluation module is evaluated for the health status to the water-cooling system period to be evaluated;
Evaluation result module is provided, for providing the health status of water-cooling system period to be evaluated.
CN201910178117.1A 2019-03-08 2019-03-08 Method and device for evaluating state of cooling water system of double-water internal cooling synchronous phase modifier Active CN109872077B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910178117.1A CN109872077B (en) 2019-03-08 2019-03-08 Method and device for evaluating state of cooling water system of double-water internal cooling synchronous phase modifier

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910178117.1A CN109872077B (en) 2019-03-08 2019-03-08 Method and device for evaluating state of cooling water system of double-water internal cooling synchronous phase modifier

Publications (2)

Publication Number Publication Date
CN109872077A true CN109872077A (en) 2019-06-11
CN109872077B CN109872077B (en) 2021-10-08

Family

ID=66920111

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910178117.1A Active CN109872077B (en) 2019-03-08 2019-03-08 Method and device for evaluating state of cooling water system of double-water internal cooling synchronous phase modifier

Country Status (1)

Country Link
CN (1) CN109872077B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110428151A (en) * 2019-07-18 2019-11-08 国网山东省电力公司电力科学研究院 A kind of method for evaluating state of synchronous capacitor oil system
CN110932490A (en) * 2019-11-22 2020-03-27 上海电气电站设备有限公司 Method for calculating forced excitation temperature of rotor of double-water internal cooling non-salient pole synchronous motor
CN113128832A (en) * 2021-03-16 2021-07-16 国网湖南省电力有限公司 Operation state online diagnosis method and system for auxiliary system of large phase modulator

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101858312A (en) * 2010-05-31 2010-10-13 重庆大学 System and method thereof for evaluating real-time running state of wind generating set
CN104331532A (en) * 2014-09-12 2015-02-04 广东电网公司江门供电局 Power transformer state evaluation method based on rough set-cloud model
WO2018195251A1 (en) * 2017-04-20 2018-10-25 Schneider Electric USA, Inc. Systems and methods for managing building signature intelligent electronic devices

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101858312A (en) * 2010-05-31 2010-10-13 重庆大学 System and method thereof for evaluating real-time running state of wind generating set
CN104331532A (en) * 2014-09-12 2015-02-04 广东电网公司江门供电局 Power transformer state evaluation method based on rough set-cloud model
WO2018195251A1 (en) * 2017-04-20 2018-10-25 Schneider Electric USA, Inc. Systems and methods for managing building signature intelligent electronic devices

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
江顺辉: "基于大数据分析的风电机组运行状态评估方法研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *
赵军,宋扬: "改进熵权-正态云模型在边坡稳定性评价中的应用", 《水电能源科学》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110428151A (en) * 2019-07-18 2019-11-08 国网山东省电力公司电力科学研究院 A kind of method for evaluating state of synchronous capacitor oil system
CN110932490A (en) * 2019-11-22 2020-03-27 上海电气电站设备有限公司 Method for calculating forced excitation temperature of rotor of double-water internal cooling non-salient pole synchronous motor
CN110932490B (en) * 2019-11-22 2021-10-15 上海电气电站设备有限公司 Method for calculating forced excitation temperature of rotor of double-water internal cooling non-salient pole synchronous motor
CN113128832A (en) * 2021-03-16 2021-07-16 国网湖南省电力有限公司 Operation state online diagnosis method and system for auxiliary system of large phase modulator

Also Published As

Publication number Publication date
CN109872077B (en) 2021-10-08

Similar Documents

Publication Publication Date Title
CN109872077A (en) The method for evaluating state and device of double-water internal cooling synchronous capacitor cooling water system
CN102662113B (en) Comprehensive diagnosis method of oil-immersed transformer based on fault tree
CN105866638B (en) A kind of city net cable connector state of insulation on-line monitoring prior-warning device and method
CN108428045A (en) A kind of distribution network operation health state evaluation method
CN103023023B (en) Comprehensive evaluation method based on multi-stress for electric energy quality of monitoring points of electrified railway
CN106384210A (en) Power transmission and transformation equipment maintenance priority ordering method based on maintenance risk premium
CN104655948A (en) Novel multistage fault diagnosis method for power transformer
CN104599189A (en) Power grid planning scheme risk evaluation method considering power system operation mode
CN109188227A (en) A kind of double feed wind power generator Condition assessment of insulation method and system
CN105512783A (en) Comprehensive evaluation method used for loop-opening scheme of electromagnetic looped network
CN105825315A (en) Electric energy quality early warning method
CN103699668A (en) Power distribution network electric equipment combination state evaluation method based on data section consistency
CN109408968A (en) Method for evaluating the health index of transformer real-time status
CN111552925A (en) Method for constructing comprehensive evaluation index system of alternating current-direct current hybrid power distribution network
CN111612326A (en) Comprehensive evaluation method for power supply reliability of distribution transformer
CN105844538A (en) Power cable risk assessment method based on fault severity
CN115986915A (en) Converter station equipment monitoring and management system and method based on digital twinning technology
CN104993481A (en) Low-voltage transformer area six-element diagnosis and analysis method and system
CN103578042A (en) Hieratical assessment method for degree of reliability of power transformer
CN109858768A (en) Consider the comprehensive energy electric-thermal net methods of risk assessment of comprehensive time-varying outage model
CN108493991A (en) A kind of Wind turbines power distribution computational methods based on Wind turbines health degree
CN107944573A (en) A kind of proofreading method and system of Transformer Substation Online Monitoring System data accuracy
CN110289112B (en) Nuclear power plant health state diagnosis method based on hierarchical analysis and fuzzy evaluation
CN109387742B (en) Line fault identification method based on multipoint active power monitoring and difference
CN104239724A (en) Online monitoring and assessment method for heat exchange efficiency of water-cooling system of converter valve

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
GR01 Patent grant
GR01 Patent grant