CN108846591A - A kind of more operating status intelligent monitor systems of switch cabinet of converting station and appraisal procedure - Google Patents
A kind of more operating status intelligent monitor systems of switch cabinet of converting station and appraisal procedure Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
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- G06N5/04—Inference or reasoning models
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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Abstract
The present invention provides a kind of more operating status intelligent monitor systems of switch cabinet of converting station, including MCU and the local discharge sensor connecting with MCU, temperature sensor, humidity sensor, voltage sensor, current sensor, power module, FLASH memory, bluetooth module, RS485 module and GPRS module；The present invention also provides a kind of more operating status intelligent evaluation methods of switch cabinet of converting station, the appraisal procedure is using the fusion of fuzzy and evidential reasoning, intelligent evaluation is carried out to the more operating statuses of switchgear according to many reference amounts, and is embedded with the more operating status intelligent evaluation systems of switchgear corresponding with the appraisal procedure in MCU.The present invention can monitor the operating status of inside switch cabinet on-line, and switchgear operating status real-time intelligent is assessed, have the characteristics that high sensitivity and is easily installed, it is possible thereby to ensure the reliability of power supply, ensure the timeliness of power consumer electricity consumption, meet the power demand of user, to promote the management level of power grid enterprises' safety in production.
Description
Technical field
The present invention relates to substation equipment technical fields, and in particular to a kind of more operating statuses intelligence prisons of switch cabinet of converting station
Examining system and appraisal procedure.
Background technique
High-tension switch cabinet is the hub device between electric system power transformation and distribution system, mainly by high-voltage circuitbreaker, every
It leaves the elements such as pass, high-voltage actuating mechanism, high pressure automatic recloser and the cabinet body that loads these equipment to constitute, in distribution network system
In play on-off, control or protection the effects of.High-tension switch cabinet manufacturing industry is the important component in power industry, once
It breaks down and seriously affects the power supply reliability of electric system.
The report of national grid Safety Operation Analysis shows in electric system 6~10kV switchgear accident that current-carrying and insulation are broken
The ratio that failure caused by damaging accounts for sum is maximum.When switchgear load is more than rated load, internal temperature can rise, seriously
Will lead to inside switch cabinet conductor occur scaling loss.On the one hand built-in electrical insulation failure or electric discharge are due to switchette cabinet processing factory
Cleaning is not thorough in field-mounted process, leads to a small amount of impurity of residual in high-voltage circuitbreaker；It on the other hand is since construction party exists
After in-site installation or switchgear run some time, damaged initiation internal discharge failure occurs for built-in electrical insulation.In addition, in switchgear
Portion's insulation is under the action of high temperature and humidity, it may occur that the generation of aging and electric discharge phenomena, while electric discharge phenomena will lead to temperature again
Degree rises, and is further exacerbated by the development of internal faults of switch cabinet.
For a long time, electric power enterprise continues to use always the preventive trial (i.e. periodic inspection system) of inefficient " expiring required "
Switchgear is overhauled, hidden danger equipment missing inspection should be repaired by, which causing, repairs, and affects its technical performance and service life, serious feelings
It will cause failure or accident under condition, influence power supply reliability；In addition, interruption maintenance is arranged when that should not overhaul, to cause
The waste of human and material resources and financial resources.In recent years, fast with the fast development of power distribution network network planning mould and switchgear quality requirement
Speed is promoted, and current switchgear periodic inspection system has been not suitable with the management requirement of power grid and equipment.Therefore, switch is made full use of
The means such as cabinet on-line monitoring system, inspection, various tests, maintenance aid decision-making system, the switchgear on-line monitoring for the science of carrying out
It is imperative with fault diagnosis.
The present inventor has found that operation power department is in addition to carrying out preventative examination to switchgear in recent years after study
Outside testing, also in the on-line monitoring for trying to explore switchgear operating status, but currently still lack to a variety of operating statuses of switchgear
The monitoring and evaluation of information.
Summary of the invention
The technical issues of currently still lacking for existing operation power department to the monitoring of switchgear a variety of running state informations,
The present invention provides a kind of more operating status intelligent monitor systems of switch cabinet of converting station, which is mounted on inside switch cabinet, can
Meet the more monitoring running state requirements of switch cabinet of converting station.
In order to solve the above-mentioned technical problem, present invention employs the following technical solutions：
A kind of more operating status intelligent monitor systems of switch cabinet of converting station are passed including MCU and the shelf depreciation connecting with MCU
Sensor, temperature sensor, humidity sensor, voltage sensor, current sensor, power module, FLASH memory, bluetooth mould
Block, RS485 module and GPRS module；The local discharge sensor is for the local discharge signal inside detection switch cabinet, institute
Temperature sensor is stated for the temperature inside detection switch cabinet, the humidity sensor is used for the humidity inside detection switch cabinet,
The voltage sensor is used for the voltage of detection switch cabinet voltage transformer secondary side and is converted into the small voltage of amplitude, the electricity
Flow sensor is used for the electric current of detection switch cabinet Current Transformer Secondary side and is converted into the small voltage of amplitude, the power module
For accessing external power supply and being converted into each module electricity consumption, the FLASH memory includes local discharge signal, temperature for storing
The more running state parameter information of switchgear including degree, humidity, voltage and current, the bluetooth module are used to transport switchgear more
Row state parameter information is wirelessly transferred to main website, and the RS485 module is used for the more running state parameters of switchgear
Information is transferred to main website by bus mode, and the GPRS module is used for the assessment knot of MCU operating statuses more for switchgear
Fruit is sent to administrative staff by short message mode.
Further, the MCU selects the microcontroller list of the model STM32F215RET6 of ST Microelectronics's production
Member.
Further, the local discharge sensor uses ultrasonic sensor.
Further, there are three the voltage sensors, no-load voltage ratio 120V/3.53V, primary side is respectively connected to switchgear height
The output voltage of medium-voltage potential transformers secondary side A phase, B phase and C phase.
Further, there are three the current sensors, no-load voltage ratio 1.2A/3.53V, primary side is respectively connected to switchgear height
The output electric current of voltage current transformer secondary side A phase, B phase and C phase.
The technical issues of currently still lacking for existing operation power department to the assessment of switchgear a variety of running state informations,
The present invention also provides a kind of more operating status intelligent evaluation methods of switch cabinet of converting station, this method is melted using fuzzy and evidential reasoning
It closes, intelligent evaluation is carried out to the more operating statuses of switchgear according to many reference amounts, the more operating statuses of switch cabinet of converting station is can satisfy and comments
Estimate requirement, the more operating status intelligent evaluation systems of the corresponding switchgear of the more operating status intelligent evaluation methods of the switch cabinet of converting station
It is embedded in MCU.
In order to solve the above-mentioned technical problem, present invention employs the following technical solutions：
A kind of more operating status intelligent evaluation methods of switch cabinet of converting station, the method is according to switch cabinet of converting station above-mentioned
More operating status intelligent monitor systems carry out intelligent evaluation, and the method specifically includes following steps：
S1, Evidence Reasoning Decision assessment models frame determine：It will characterize that switchgear more operating statuses are all to be may assume that
Frame of the evaluation grade as Evidence Reasoning Decision assessment models, is defined as follows：
H={ H1,H2,...,Hn,...,HN}
Wherein, N is the number of evaluation grade；
S2, switchgear operating status assessment models are established：According to the intelligent monitor system monitoring local discharge signal,
Temperature, humidity, voltage and current establish switchgear operating status assessment models；
The corroboration selection of S3, Evidence Reasoning Decision assessment models：The shelf depreciation of switchgear, temperature, humidity, voltage
The operating status for reflecting switchgear from different level respectively with electric current, is regarded as independent evidence or factor；
S4, original basic probability assignment is determined according to Fuzzy evaluation mode：It is described by building fuzzy membership function
The indicator layer index of Fuzzy evaluation mode, and the Fuzzy comprehensive evaluation of parameter layer is as a result, so that it is determined that Evidence Reasoning Decision
Original basic probability assignment in assessment models；
S5, confidence level coefficient determine：By the confidence level coefficient of each factor of determination, to revise original elementary probability point
Match, it is as follows specifically to revise process：
mr(H)=αrMr(H)
mr(Θ)=1- αr
Wherein, mrIt (H) is original basic probability assignment after revising, αrIt is confidence level coefficient, MrIt (H) is factor frMould
Paste comprehensive assessment result, that is, original basic probability assignment, mr(Θ) is the probability brief inference of uncertain evidence；It is set described in formula
Coefficient of reliability αrIt is calculated according to the following formula：
Wherein, αKFor preferential confidence level coefficient, wrFor r-th of weight in switch cabinet state index, wkFor in weight most
Big value；
S6, evidence fusion：Executive evidence composite calulation acquires the combined chance distribution of last evaluation grade, combining evidences
Rule is specific as follows：
Wherein, m (Ψ) is the distribution of evidence compound prbability, m1(A1)m2(A2)…mr(Ar) indicate r assessment factor f1,
f2,…,frRespectively to the probability assignments of proposition Ψ, K reflects the conflict spectrum of evidence；
S7, Evidence Reasoning Decision：In the decision rule based on decision primitive attribute, the decision rule of use is that foundation is determined
The belief function value of plan primitive carries out assessment target discrimination using maximum Basic probability assignment function rule, is defined as follows：
Wherein, ε0And ε1For according to expertise and the preset threshold value of technical standard, HN0For the judgement of evaluation grade
As a result, mr(HN0) it is the Basic Probability As-signment for determining result, mr(HN1) it is except mr(HN0) outer Basic Probability As-signment maximum value,
mr(Θ) is probabilistic Basic Probability As-signment；In formula, mr(HN0) and mr(HN1) be defined as follows：
The rule of the Evidence Reasoning Decision according to defined in this step, determines the judgement knot of switchgear operating status evaluation grade
Fruit.
Further, in the step S1, the evaluation grade is divided into outstanding, good, general, deterioration and seriously totally five etc.
Grade.
Further, in the step S4, the indicator layer of Fuzzy evaluation mode is described by building fuzzy membership function
Index, and the Fuzzy comprehensive evaluation of parameter layer is as a result, so that it is determined that original basic in Evidence Reasoning Decision assessment models
Probability assignments specifically include following steps：
State index is normalized in S41, the relative inferiority degree for introducing index, reflection smaller for those index values
The better index parameter of index state, is calculated as the following formula：
Wherein, Xrm0Indicate index ermThe initial value of state parameter, XrmaIndicate index ermThe demand value of state parameter, XrmTable
Show index ermThe actual measured value of state parameter；
The better index parameter of reflection index state bigger for those index values, is calculated as the following formula：
S42, evaluation index is described using the half trapezoidal subordinating degree function combined with half ridge shape, be defined as follows：
Wherein, s1=1/13, s2=3/13, s3=4/13, s4=6/13, s5=7/13, s6=9/13, s7=10/13, s8
=12/13；
S43, the Fuzzy comprehensive evaluation result that indicator layer is calculated as follows：
Wherein, MrIt (H) is factor frFuzzy comprehensive evaluation as a result, be used to indicate r in Evidence Reasoning Decision assessment models
One original basic reliability distribution of a factor；wrmIndicate index ermWeighted value；P in formular(H) it is defined as follows：
Pr(H) factor f is indicatedrThe degree of membership of affiliated evaluation grade.
Compared with prior art, the more operating status intelligent monitor systems of switch cabinet of converting station provided by the invention and assessment side
Method can monitor the operating status of inside switch cabinet on-line, and assess switchgear operating status real-time intelligent, have sensitivity
Height and the characteristics of being easily installed, it is possible thereby to ensure the reliability of power supply, it is ensured that the timeliness of power consumer electricity consumption meets user
Power demand, thus promoted power grid enterprises safety in production management level.
Detailed description of the invention
Fig. 1 is the more operating status intelligent monitor system structural schematic diagrams of switch cabinet of converting station provided by the invention.
Fig. 2 is switch cabinet of converting station operating status assessment models provided by the invention.
Fig. 3 is the more operating status intelligent evaluation method flow schematic diagrams of switch cabinet of converting station provided by the invention.
Fig. 4 is the distribution function schematic diagram of subordinating degree function provided by the invention.
Fig. 5 is the more operating status intelligent monitor system test platform schematic diagrames of switchgear provided by the invention.
In figure, 1, MCU；2, local discharge sensor；3, temperature sensor；4, humidity sensor；5, voltage sensor；6,
Current sensor；7, power module；8, FLASH memory；9, bluetooth module；10, RS485 module；11, GPRS module.
Specific embodiment
In order to be easy to understand the technical means, the creative features, the aims and the efficiencies achieved by the present invention, tie below
Conjunction is specifically illustrating, and the present invention is further explained.
In the description of the present invention, it is to be understood that, term " longitudinal direction ", " radial direction ", " length ", " width ", " thickness ",
The orientation of the instructions such as "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" or
Positional relationship is to be based on the orientation or positional relationship shown in the drawings, and is merely for convenience of description of the present invention and simplification of the description, without
It is that the device of indication or suggestion meaning or element must have a particular orientation, be constructed and operated in a specific orientation, therefore not
It can be interpreted as limitation of the present invention.In the description of the present invention, unless otherwise indicated, the meaning of " plurality " is two or two
More than.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.
It please referring to shown in Fig. 1, the present invention provides a kind of more operating status intelligent monitor systems of switch cabinet of converting station, including
MCU 1 and the local discharge sensor 2 being connect with MCU 1, temperature sensor 3, humidity sensor 4, voltage sensor 5, electric current
Sensor 6, power module 7, FLASH memory 8, bluetooth module 9, RS485 module 10 and GPRS module 11；The shelf depreciation
Sensor 2 is for the local discharge signal inside detection switch cabinet, and the temperature sensor 3 is for the temperature inside detection switch cabinet
Degree, the humidity sensor 4 is for the humidity inside detection switch cabinet, and the voltage sensor is with 5 in detection switch cabinet voltage
The voltage of mutual inductor secondary side is simultaneously converted into the small voltage of amplitude, and the current sensor 6 is used for detection switch cabinet Current Mutual Inductance
The electric current of device secondary side is simultaneously converted into the small voltage of amplitude, and the power module 7 is for accessing external power supply and being converted into each mould
Block electricity consumption, the FLASH memory 8 is for storing opening including local discharge signal, temperature, humidity, voltage and current
The more running state parameter information of cabinet are closed, the bluetooth module 9 is used to the more running state parameter information of switchgear passing through wireless parties
Formula is transferred to main website, and the more running state parameter information of switchgear for being transferred to by the RS485 module 10 by bus mode
Main website, the GPRS module 11 are used to send the assessment result of the operating statuses more for switchgear of MCU 1 by short message mode
To administrative staff, the more operating status intelligent evaluation systems of switchgear are embedded in the MCU 1.
As specific embodiment, the MCU 1 selects the model STM32F215RET6's of ST Microelectronics's production
Micro-control unit, the micro-control unit can collect local discharge signal parameter, temperature parameter, humidity parameter, voltage parameter and
Current parameters, and it is transmitted to backstage.
As specific embodiment, the local discharge sensor 2 uses ultrasonic sensor, thus when inside switch cabinet is sent out
When raw electric discharge phenomena, the ultrasonic sensor can detecte the ultrasonic signal of local discharge signal generation, by with MCU 1
Effective acquisition of inside switch cabinet discharge signal is realized in connection.
As specific embodiment, there are three the voltage sensors 5, and no-load voltage ratio 120V/3.53V, primary side connects respectively
The output voltage for entering switchgear high voltage potential transformer secondary side A phase, B phase and C phase, due to the standard of switchgear voltage transformer
Output voltage is 100V, so 5 primary side of voltage sensor accesses voltage as 57.74V, therefore voltage sensor output voltage width
Value is about the voltage of 1.70V, and the voltage input of the 1.70V is into MCU 1.
As specific embodiment, there are three the current sensors 6, and no-load voltage ratio 1.2A/3.53V, primary side connects respectively
The output electric current for entering switchgear high-tension current inductor secondary side A phase, B phase and C phase, due to the standard of switch cabinet current transformer
Output electric current is 1A, so 6 primary side of current sensor access voltage is 1A, and converting amplitude for the electric current is about 2.94V
Voltage, and the voltage input of the 2.94V is into MCU 1.
As specific embodiment, the power module 7 accesses and applies 220V AC voltage outside, and the power module 7 is with steady
Function is pressed, voltage stabilization is converted to 5V DC voltage, for the more operating status intelligent monitor system modules units of switchgear
Electricity consumption.
As specific embodiment, the FLASH memory 8 is for the shelf depreciation letter in storage switch cabinet operational process
Number, the status information of temperature parameter, humidity parameter, voltage parameter and current parameters, even if encountering power blackout situation, all data are equal
It can be stored in FLASH memory 8 and not be affected, thus effectively improve the reliability of monitoring system.
The technical issues of currently still lacking for existing operation power department to the assessment of switchgear a variety of running state informations,
The present invention also provides a kind of more operating status intelligent evaluation methods of switch cabinet of converting station, this method is melted using fuzzy and evidential reasoning
Close, fuzzy algorithmic approach can be improved the accuracy of differentiation, Evidential reasoning algorithm be when there are under conditions of multi-source evidence, to evidence into
Row integrated treatment, to extract final basic probability assignment and belief function, according to many reference amounts to the more operating statuses of switchgear
Intelligent evaluation is carried out, the more operating status assessments of switch cabinet of converting station is can satisfy and requires, the more operating statuses of the switch cabinet of converting station
The more operating status intelligent evaluation systems of the corresponding switchgear of intelligent evaluation method are embedded in MCU.
In order to solve the above-mentioned technical problem, present invention employs the following technical solutions：
It please referring to shown in Fig. 2 to Fig. 5, the present invention provides a kind of more operating status intelligent evaluation methods of switch cabinet of converting station,
The method carries out intelligent evaluation according to the more operating status intelligent monitor systems of switch cabinet of converting station above-mentioned, and the method is specific
Include the following steps：
S1, Evidence Reasoning Decision assessment models frame determine：It will characterize that switchgear more operating statuses are all to be may assume that
Frame of the evaluation grade as Evidence Reasoning Decision assessment models, is defined as follows：
H={ H1,H2,...,Hn,...,HNFormula (1)
Wherein, N is the number of evaluation grade；As specific embodiment, switchgear operating status is divided into five assessments etc.
Grade, the state that respectively indicates are in outstanding, good, general, deterioration and serious totally five states.
S2, switchgear operating status assessment models are established：According to the intelligent monitor system monitoring local discharge signal,
Temperature, humidity, voltage and current establish switchgear operating status assessment models, specifically please refer to shown in Fig. 2.
The corroboration selection of S3, Evidence Reasoning Decision assessment models：The shelf depreciation of switchgear, temperature, humidity, voltage
The operating status for reflecting switchgear from different level respectively with electric current, is regarded as independent evidence or factor, meets evidence
Theoretical composition rule.
S4, original basic probability assignment is determined according to Fuzzy evaluation mode：It is described by building fuzzy membership function
The indicator layer index of Fuzzy evaluation mode, and the Fuzzy comprehensive evaluation of parameter layer is as a result, so that it is determined that Evidence Reasoning Decision
Original basic probability assignment in assessment models, specifically includes following steps：
State index is normalized in S41, the relative inferiority degree for introducing index, reflection smaller for those index values
The better index parameter of index state, is calculated as the following formula：
Wherein, Xrm0Indicate index ermThe initial value of state parameter, XrmaIndicate index ermThe demand value of state parameter, XrmTable
Show index ermThe actual measured value of state parameter；
The better index parameter of reflection index state bigger for those index values, is calculated as the following formula：
Each index parameter of specific switchgear operating status is as shown in table 1 below：
S42, according to fuzzy mathematics theory, generally, the information of index different conditions grade can be retouched with subordinating degree function
It states, such as triangular membership, trapezoidal membership function.The present invention uses the half trapezoidal subordinating degree function combined with half ridge shape
Evaluation index is described, is defined as follows：
Wherein, s1=1/13, s2=3/13, s3=4/13, s4=6/13, s5=7/13, s6=9/13, s7=10/13, s8
=12/13；The distribution function of specific subordinating degree function is as shown in Figure 4；
S43, the Fuzzy comprehensive evaluation result that indicator layer is calculated as follows：
Wherein, MrIt (H) is factor frFuzzy comprehensive evaluation as a result, be used to indicate r in Evidence Reasoning Decision assessment models
One original basic reliability distribution of a factor；wrmIndicate index ermWeighted value；P in formular(H) it is defined as follows：
Pr(H) factor f is indicatedrThe degree of membership of affiliated evaluation grade.
By the data in table 1, being subordinate to for each evaluation index can be calculated according to fuzzy membership formula (2)~(5)
Angle value is as shown in table 2 below：
As specific embodiment, wrmThe weighted value of expression is calculated using the advanced AHP method based on multi-expert Group Decision
It can obtain, wrm=[0.1619,0.1698,0.0726,0.3275,0.2682].
The Fuzzy comprehensive evaluation calculated according to formula (6) is as a result, so that it is determined that original basic in Evidence Reasoning Decision model
Probability assignments, i.e. Fuzzy comprehensive evaluation result are exactly original basic probability assignment.
S5, confidence level coefficient determine：Since the importance of composition assessment evidence is different, before carrying out evidence fusion, need
It is as follows specifically to revise process to revise original basic probability assignment by the confidence level coefficient of each factor of determination：
mr(H)=αrMr(H) formula (8)
mr(Θ)=1- αrFormula (9)
Wherein, mrIt (H) is original basic probability assignment after revising, αrIt is confidence level coefficient, MrIt (H) is factor frMould
Paste comprehensive assessment result, that is, original basic probability assignment, mr(Θ) is the probability brief inference of uncertain evidence；Specifically in this reality
It applies in example, it is contemplated that the relative importance of different factors is different, so introducing confidence level factor alphar(r=1,2 ..., r) is revised
Probability assignments before combining evidences, it is assumed that the weight of switch cabinet state index is respectively { w1,…,wr…,w5, then the confidence
Spend factor alpharIt is calculated according to the following formula：
Wherein, αKFor preferential confidence level coefficient, wrFor r-th of weight in switch cabinet state index, wkFor in weight most
Big value；Preferably, the preferential confidence level factor alphaK=0.9.
Enable wk=0.3275, then wr=wr/wk=[0.4944,0.5185,0.2217,1,0.8189].So αr=
[0.4450,0.4667,0.1995,0.9,0.7370],mr(Θ)=[0.5550,0.5333,0.8005,0.1,0.2630].
Therefore, according to formula (8), each factor basic probability assignment calculated result of switchgear operating status is as shown in table 3 below：
S6, evidence fusion：Executive evidence composite calulation acquires the combined chance distribution of last evaluation grade；Combining evidences
It is one of content most crucial in evidence theory, its effect is worked as there are under conditions of multi-source evidence, is integrated to evidence
Processing, to extract final basic probability assignment and belief function.The composition rule of two evidences is as follows：Assuming that there are two
Independent evidence offer is respectively m to the basic probability assignment of proposition Ψ1(Ψ) and m2(Ψ), then two combining evidences probability divide
With m(2)(Ψ)=m1(Ψ)⊕m2(Ψ) meets following formula combining evidences rule：
Wherein, K reflects the conflict spectrum of evidence, and K value is bigger, illustrates that evidences conflict degree is also bigger.
For r assessment factor, such as f1,f2,…,fr, it is seen as self-existent r evidence, they are to proposition Ψ's
Basic probability assignment is respectively m1(A1),m2(A2),…,mr(Ar), then multiple D-S combining evidences rules are specific as follows：
Wherein, m (Ψ) is the distribution of evidence compound prbability, m1(A1)m2(A2)…mr(Ar) indicate r assessment factor f1,
f2,…,frRespectively to the probability assignments of proposition Ψ, K reflects the conflict spectrum of evidence, and K value is bigger, illustrates evidences conflict degree
It is bigger；
Combining evidences rule is the stringent ＂ of one kind and ＂ operation method, meets exchange rate and Percentage bound.Switchgear is run
For status assessment, all factor indexs all can serve as independent evidence source and be synthesized, and acquire the comprehensive of last evaluation grade
Close probability assignments.As a kind of specific embodiment, each factor evidence fusion result of switchgear operating status is as shown in table 4 below：
S7, Evidence Reasoning Decision：Currently, when carrying out decision with evidence theory, it is main to use the card based on decision primitive
Decision is carried out according to structure.In the decision rule based on decision primitive attribute, the decision rule generallyd use is according to decision base
The belief function value of member carries out assessment target discrimination using maximum Basic probability assignment function rule, is defined as follows：
Wherein, ε0And ε1For according to expertise and the preset threshold value of technical standard, HN0For the judgement of evaluation grade
As a result, mr(HN0) it is the Basic Probability As-signment for determining result, mr(HN1) it is except mr(HN0) outer Basic Probability As-signment maximum value,
mr(Θ) is the probability brief inference that probabilistic Basic Probability As-signment that is to say uncertain evidence；In formula, mr(HN0) and mr
(HN1) be defined as follows：
The Evidence Reasoning Decision rule defined according to this step Chinese style (15) and formula (16), it may be determined that switchgear operating status
Judgement result, that is, assessment result of evaluation grade.
It is now as follows to the evaluation decision rule parsing in formula (15)：
1., the judgement result H of evaluation gradeN0There should be maximum Basic Probability As-signment to distribute；
2., determine result Basic Probability As-signment mr(HN0) with the differences of other any Basic Probability As-signments it is greater than certain
The threshold epsilon of one setting0, such as take ε0=0.1；
3., probabilistic Basic Probability As-signment mr(Θ) is less than the threshold epsilon of a certain setting1, ε1It is smaller, illustrate to assess
As a result more accurate and more credible, such as take ε1=0.04；
4., probabilistic Basic Probability As-signment mr(Θ) is less than the Basic Probability As-signment m for determining resultr(HN0)。
If above-mentioned four decision rules cannot be guaranteed to meet simultaneously, assessment result determines failure.Concrete reason, a side
Face may be because the lack of evidence or needs that assessment is selected carry out more assessment evidence fusions；On the other hand weight may be needed
The new set for defining identification framework and evaluation grade.
The more operating status intelligent monitor systems of aforementioned switch cabinet of converting station are examined in test platform as shown in Figure 5
It surveys, local discharge signal, temperature, humidity, voltage and current parameter and standard pulse current of PD signal, the mark of detection
Quasi- temperature and humidity tester and voltage and current signal are almost the same；Separately in figure 5, T1For AC power source, T2For testing transformer, R
For protective resistance, CKFor coupled capacitor, O is oscillograph.The detection knot of KYN28A-12 high-tension switch cabinet is newly thrown according to laboratory
Fruit, Processing of Partial Discharge Ultrasonic Signals amplitude are 5dBi, and running temperature is 30 DEG C (environment temperature is 25 DEG C), and humidity 55% is opened
The voltage for closing cabinet is 10kV, electric current 16A, merges intelligent decision-making assessment result according to fuzzy and evidential reasoning, shows the switch
Cabinet is in outstanding grade, and assessment result matches with switchgear operating status situation, credible using multifactor carry out evidence fusion
Degree is higher, and finally obtained assessment result is clear and accurate.
Compared with prior art, the more operating status intelligent monitor systems of switch cabinet of converting station provided by the invention and assessment side
Method can monitor the operating status of inside switch cabinet on-line, and assess switchgear operating status real-time intelligent, have sensitivity
Height and the characteristics of being easily installed, it is possible thereby to ensure the reliability of power supply, it is ensured that the timeliness of power consumer electricity consumption meets user
Power demand, thus promoted power grid enterprises safety in production management level.
Finally, it is stated that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting, although referring to compared with
Good embodiment describes the invention in detail, those skilled in the art should understand that, it can be to skill of the invention
Art scheme is modified or replaced equivalently, and without departing from the objective and range of technical solution of the present invention, should all be covered at this
In the scope of the claims of invention.
Claims (8)
1. a kind of more operating status intelligent monitor systems of switch cabinet of converting station, which is characterized in that connect including MCU and with MCU
Local discharge sensor, temperature sensor, humidity sensor, voltage sensor, current sensor, power module, FLASH storage
Device, bluetooth module, RS485 module and GPRS module；It puts part of the local discharge sensor for inside detection switch cabinet
Electric signal, the temperature sensor is for the temperature inside detection switch cabinet, and the humidity sensor is in detection switch cabinet
The humidity in portion, the voltage sensor are used for the voltage of detection switch cabinet voltage transformer secondary side and are converted into the small electricity of amplitude
Pressure, the current sensor are used for the electric current of detection switch cabinet Current Transformer Secondary side and are converted into the small voltage of amplitude, institute
Power module is stated for accessing external power supply and being converted into each module electricity consumption, the FLASH memory includes part for storing
The more running state parameter information of switchgear including discharge signal, temperature, humidity, voltage and current, the bluetooth module are used for
The more running state parameter information of switchgear are wirelessly transferred to main website, the RS485 module is used for switchgear is more
Running state parameter information is transferred to main website by bus mode, and the GPRS module is used to for switchgear run MCU more
The assessment result of state is sent to administrative staff by short message mode.
2. the more operating status intelligent monitor systems of switch cabinet of converting station according to claim 1, which is characterized in that described
MCU selects the micro-control unit of the model STM32F215RET6 of ST Microelectronics's production.
3. the more operating status intelligent monitor systems of switch cabinet of converting station according to claim 1, which is characterized in that the office
Portion's discharge sensor uses ultrasonic sensor.
4. the more operating status intelligent monitor systems of switch cabinet of converting station according to claim 1, which is characterized in that the electricity
There are three pressure sensors, no-load voltage ratio 120V/3.53V, and primary side is respectively connected to switchgear high voltage potential transformer secondary side A
The output voltage of phase, B phase and C phase.
5. the more operating status intelligent monitor systems of switch cabinet of converting station according to claim 1, which is characterized in that the electricity
There are three flow sensors, no-load voltage ratio 1.2A/3.53V, and primary side is respectively connected to switchgear high-tension current inductor secondary side A
The output electric current of phase, B phase and C phase.
6. a kind of more operating status intelligent evaluation methods of switch cabinet of converting station, which is characterized in that the method is according to claim
The more operating status intelligent monitor systems of switch cabinet of converting station described in any one of 1-5 carry out intelligent evaluation, and the method is specific
Include the following steps：
S1, Evidence Reasoning Decision assessment models frame determine：All assessments that may assume that of the more operating statuses of switchgear will be characterized
Frame of the grade as Evidence Reasoning Decision assessment models, is defined as follows：
H={ H1,H2,...,Hn,...,HN}
Wherein, N is the number of evaluation grade；
S2, switchgear operating status assessment models are established：According to the local discharge signal of intelligent monitor system monitoring, temperature
Degree, humidity, voltage and current establish switchgear operating status assessment models；
The corroboration selection of S3, Evidence Reasoning Decision assessment models：Shelf depreciation, temperature, humidity, voltage and the electricity of switchgear
Stream reflects the operating status of switchgear from different level respectively, is regarded as independent evidence or factor；
S4, original basic probability assignment is determined according to Fuzzy evaluation mode：It describes to obscure by building fuzzy membership function
The indicator layer index of assessment models, and the Fuzzy comprehensive evaluation of parameter layer is as a result, so that it is determined that Evidence Reasoning Decision is assessed
Original basic probability assignment in model；
S5, confidence level coefficient determine：By the confidence level coefficient of each factor of determination, to revise original basic probability assignment, tool
It is as follows that body revises process：
mr(H)=αrMr(H)
mr(Θ)=1- αr
Wherein, mrIt (H) is original basic probability assignment after revising, αrIt is confidence level coefficient, MrIt (H) is factor frFuzzy synthesis
Assessment result, that is, original basic probability assignment, mr(Θ) is the probability brief inference of uncertain evidence；Confidence level system described in formula
Number αrIt is calculated according to the following formula：
Wherein, αKFor preferential confidence level coefficient, wrFor r-th of weight in switch cabinet state index, wkFor the maximum in weight
Value；
S6, evidence fusion：Executive evidence composite calulation acquires the combined chance distribution of last evaluation grade, combining evidences rule
It is specific as follows：
Wherein, m (Ψ) is the distribution of evidence compound prbability, m1(A1)m2(A2)…mr(Ar) indicate r assessment factor f1,f2,…,fr
Respectively to the probability assignments of proposition Ψ, K reflects the conflict spectrum of evidence；
S7, Evidence Reasoning Decision：In the decision rule based on decision primitive attribute, the decision rule of use is according to decision base
The belief function value of member carries out assessment target discrimination using maximum Basic probability assignment function rule, is defined as follows：
Wherein, ε0And ε1For according to expertise and the preset threshold value of technical standard, HN0For evaluation grade judgement as a result,
mr(HN0) it is the Basic Probability As-signment for determining result, mr(HN1) it is except mr(HN0) outer Basic Probability As-signment maximum value, mr
(Θ) is probabilistic Basic Probability As-signment；In formula, mr(HN0) and mr(HN1) be defined as follows：
The rule of the Evidence Reasoning Decision according to defined in this step, determines the judgement result of switchgear operating status evaluation grade.
7. the more operating status intelligent evaluation methods of switch cabinet of converting station according to claim 6, which is characterized in that the step
In rapid S1, the evaluation grade is divided into outstanding, good, general, deterioration and serious totally five grades.
8. the more operating status intelligent evaluation methods of switch cabinet of converting station according to claim 6, which is characterized in that the step
In rapid S4, the indicator layer index of Fuzzy evaluation mode, and the mould of parameter layer are described by building fuzzy membership function
Comprehensive assessment is pasted as a result, so that it is determined that original basic probability assignment in Evidence Reasoning Decision assessment models, specifically include with
Lower step：
State index is normalized in S41, the relative inferiority degree for introducing index, reflection index smaller for those index values
The better index parameter of state, is calculated as the following formula：
Wherein, Xrm0Indicate index ermThe initial value of state parameter, XrmaIndicate index ermThe demand value of state parameter, XrmExpression refers to
Mark ermThe actual measured value of state parameter；
The better index parameter of reflection index state bigger for those index values, is calculated as the following formula：
S42, evaluation index is described using the half trapezoidal subordinating degree function combined with half ridge shape, be defined as follows：
Wherein, s1=1/13, s2=3/13, s3=4/13, s4=6/13, s5=7/13, s6=9/13, s7=10/13, s8=12/
13；
S43, the Fuzzy comprehensive evaluation result that indicator layer is calculated as follows：
Wherein, MrIt (H) is factor frFuzzy comprehensive evaluation as a result, be used to indicate in Evidence Reasoning Decision assessment models r-th because
One original basic reliability distribution of element；wrmIndicate index ermWeighted value；P in formular(H) it is defined as follows：
Pr(H) factor f is indicatedrThe degree of membership of affiliated evaluation grade.
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| CN112202240A (en) * | 2020-09-11 | 2021-01-08 | 国网山东省电力公司枣庄供电公司 | Passive power supply automatic impedance matching device and method for high-voltage switch cabinet and power supply circuit |
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| CN112103911A (en) * | 2020-11-19 | 2020-12-18 | 国网江西省电力有限公司电力科学研究院 | Hidden fault discrimination method and device for relay protection system |
| CN112508360A (en) * | 2020-11-24 | 2021-03-16 | 国网山西省电力公司晋城供电公司 | Cable running state evaluation method for improving fuzzy comprehensive evaluation |
| CN112381321A (en) * | 2020-11-27 | 2021-02-19 | 广东电网有限责任公司肇庆供电局 | Power distribution network operation state sensing method based on gridding division |
| CN112381321B (en) * | 2020-11-27 | 2023-01-24 | 广东电网有限责任公司肇庆供电局 | Power distribution network operation state sensing method based on gridding division |
| CN114252110A (en) * | 2022-03-02 | 2022-03-29 | 山东和兑智能科技有限公司 | Intelligent evaluation system and evaluation method for power transformation equipment |
| CN116317138A (en) * | 2023-03-15 | 2023-06-23 | 国家电投集团云南国际电力投资有限公司 | Circuit breaker control system |
| CN116317138B (en) * | 2023-03-15 | 2024-03-26 | 国家电投集团云南国际电力投资有限公司 | Circuit breaker control system |
| CN116930666A (en) * | 2023-09-15 | 2023-10-24 | 深圳凯升联合科技有限公司 | Intelligent diagnosis system and diagnosis method for low-voltage complete switch cabinet |
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