CN102222276B - State maintenance method and device for secondary equipment of power grid - Google Patents

State maintenance method and device for secondary equipment of power grid Download PDF

Info

Publication number
CN102222276B
CN102222276B CN201110127762.4A CN201110127762A CN102222276B CN 102222276 B CN102222276 B CN 102222276B CN 201110127762 A CN201110127762 A CN 201110127762A CN 102222276 B CN102222276 B CN 102222276B
Authority
CN
China
Prior art keywords
equipment
maintenance
evaluation
unit
assessment item
Prior art date
Application number
CN201110127762.4A
Other languages
Chinese (zh)
Other versions
CN102222276A (en
Inventor
陶文伟
冯管印
丁坚勇
秦建光
宋斌
牛文楠
张宏斌
卢赓
Original Assignee
广东电网公司深圳供电局
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 广东电网公司深圳供电局 filed Critical 广东电网公司深圳供电局
Priority to CN201110127762.4A priority Critical patent/CN102222276B/en
Publication of CN102222276A publication Critical patent/CN102222276A/en
Application granted granted Critical
Publication of CN102222276B publication Critical patent/CN102222276B/en

Links

Abstract

The invention discloses a state maintenance method for secondary equipment of a power grid. The method comprises the following steps of: establishing a maintenance model: establishing a state maintenance model comprising a plurality of assessment items and a maintenance strategy for the secondary equipment in a management information system, wherein each assessment item comprises at least one assessment index; evaluating an equipment state: acquiring online and/or offline data information of the assessment index of each assessment item in the state assessment model of the secondary equipment to be detected from the management information system and evaluating the state of the equipment according to the data information; and making a maintenance scheme: making a maintenance scheme of the equipment according to a state evaluation result of the equipment and the maintenance strategy in the state maintenance model. The invention further discloses a corresponding state maintenance device for the secondary equipment of the power grid. According to the method and the method, the investment and maintenance costs of the secondary equipment of the power grid can be reduced greatly.

Description

Electric grid secondary equipment state overhauling method and device

Technical field

The present invention relates to power system automatic field, relate in particular to a kind of electric grid secondary equipment state overhauling method and device.

Background technology

Power-supply unit and system trend towards intelligent and complicated day by day, also more and more higher to the maintenance requirement of power-supply unit, and maintenance of equipment expense has become a capital cost of power supply enterprise gradually from initial fewer share.Along with the deep reform of China's electric power system and the implementation of " separate the factory and network, surf the Net at a competitive price ", the pressure that electric power enterprise will be faced with and reduce costs, enhance competitiveness.At present, power enterprises practice is taking scheduled overhaul as main maintenance system.This maintenance system guarantee the arrangement such as human and material resources and fund planned, kept the basicly stable property of power supply.If but equipment does not then produce local fault in turn(a)round, is subject to the restriction of turnaround plan, has to go to work braving one's illness, cause maintenance not enough.For the more equipment of defect, often move less than the next repair time, just must carry out accident maintenance, and equipment in good condition will carry out unnecessary maintenance according to schedule.The equipment that scheduled overhaul causes is crossed and is repaiied or in bad repair, has greatly increased undoubtedly the cost of overhaul and the running losses of enterprise.Therefore the service technique of electric power enterprise needs further to improve.

The scheduled overhaul system of power equipment exists major defect, as frequent in provisional maintenance, maintenance is not enough or maintenance is superfluous, blindly maintenance etc., and this makes electric system costly aspect overhaul of the equipments every year.The maintenance of reasonable arrangement power equipment, saves recondition expense, reduces the cost of overhaul, and the system that simultaneously ensures has higher reliability, is an important topic of electric system.Along with the integrated intelligent systems such as sensing technology, microelectronics, computer software and hardware and Digital Signal Processing, artificial neural network, expert system, fuzzy set theory are applied in status monitoring and fault diagnosis, make the repair based on condition of component research based on equipment condition monitoring and advanced diagnostic techniques and apply developed.

The repair based on condition of component of electric system primary equipment is progressively carried out, and has also obtained some effects, but the repair based on condition of component of secondary device is scarcely out of swaddling-clothes at present, does not have effective repair based on condition of component scheme.

Summary of the invention

Technical matters to be solved by this invention is: a kind of electric grid secondary equipment state overhauling method is provided, the method only need be at management information system (Management Information System, MIS) in, safeguard the repair based on condition of component model of electric grid secondary equipment, need to be in transformer substation side erecting device and maintenance, can greatly reduce investment and maintenance cost.

The further technical matters to be solved of the present invention is: a kind of electric grid secondary equipment state overhauling device is provided, this system only need be safeguarded the repair based on condition of component model of electric grid secondary equipment in MIS, need to be in transformer substation side erecting device and maintenance, can greatly reduce investment and maintenance cost.

For solving the problems of the technologies described above, the present invention adopts following technical scheme:

A kind of electric grid secondary equipment state overhauling method, includes:

Maintenance model establishment step sets up for secondary device the repair based on condition of component model that includes some assessment items and Strategies of Maintenance in management information system, and wherein, each assessment item includes at least one evaluation index;

Equipment state evaluation procedure obtains the online and/or off-line data information of the evaluation index of each assessment item in the repair based on condition of component model of secondary device to be detected, and according to described data message, this equipment is carried out to state evaluation from management information system;

Maintenance solution formulation step, according to the Strategies of Maintenance in the state evaluation result of this equipment and described repair based on condition of component model, formulates the maintenance scheme to this equipment.

Correspondingly, the invention also discloses a kind of electric grid secondary equipment state overhauling device, include:

Maintenance model is set up unit, and for setting up for secondary device the repair based on condition of component model that includes some assessment items and Strategies of Maintenance in management information system, wherein, each assessment item includes at least one evaluation index;

Equipment state evaluation unit, for obtain the online and/or off-line data information of evaluation index of each assessment item the repair based on condition of component model of secondary device to be detected from management information system, and carries out state evaluation according to described data message to this equipment;

Maintenance solution formulation unit, for according to the Strategies of Maintenance of the state evaluation result of this equipment and described repair based on condition of component model, formulates the maintenance scheme to this equipment.

The invention has the beneficial effects as follows:

Embodiments of the invention by setting up secondary device repair based on condition of component model in MIS, utilize the dynamic data information of secondary device in MIS, the information binding hierarchy analytical approach such as Back ground Information, family's defect information, Test Information, on-line monitoring information, bad operating condition that comprises secondary device is evaluated the state of secondary device, and then forms repair based on condition of component scheme.Because repair based on condition of component model is based upon in MIS, thereby without in transformer substation side installation and maintenance, greatly reduce investment and maintenance cost.

Below in conjunction with accompanying drawing, the present invention is described in further detail.

Brief description of the drawings

Fig. 1 is the realization flow figure of the embodiment of electric grid secondary equipment state overhauling method based on Analytic Hierarchy Process Model provided by the invention;

Fig. 2 is the composition structural drawing of the embodiment of electric grid secondary equipment state overhauling device based on Analytic Hierarchy Process Model provided by the invention.

Embodiment

Describe an embodiment of electric grid secondary equipment state overhauling method provided by the invention in detail below with reference to Fig. 1; As shown in the figure, the present embodiment is realized an electric grid secondary overhaul of the equipments flow process and is mainly included:

Maintenance model establishment step S1 sets up for secondary device the repair based on condition of component model that includes some assessment items and Strategies of Maintenance in MIS, and wherein, each assessment item comprises at least one evaluation index;

Equipment state evaluation procedure S2 obtains the online and/or off-line data information of the evaluation index of each assessment item in the state evaluation model of secondary device to be detected, and according to described data message, this equipment is carried out to state evaluation from MIS;

Maintenance solution formulation step S3, according to the Strategies of Maintenance in the state evaluation result of this equipment and described repair based on condition of component model, formulates the maintenance scheme to this equipment.

When specific implementation, in equipment state evaluation procedure S2, adopt the method for evaluating state of secondary device to carry out state evaluation to secondary device.This step can specifically include:

Facility information is collected step S21, from MIS, obtain the online and/or off-line data information of the evaluation index of each assessment item, comprise the information such as Back ground Information, test figure, online monitoring data, bad operating condition, family's defect, in conjunction with production real data;

Evaluation weight calculation procedure S22, adopts analytical hierarchy process to calculate the evaluation weight of each assessment item in described state evaluation model;

Condition grading calculation procedure S23, calculates the condition grading of this equipment in conjunction with described data message and evaluation weight corresponding to described assessment item.

Particularly, this step S2 can comprise:

Facility information obtains step S21, obtains the online and/or off-line data information of the evaluation index of each assessment item from management information system;

Evaluation weight calculation procedure S22, adopts analytical hierarchy process to calculate the evaluation weight of each assessment item in described state evaluation model;

Condition grading calculation procedure S23, calculates the condition grading of this equipment in conjunction with described data message and evaluation weight corresponding to described assessment item.

Wherein, facility information acquisition step S21 can further comprise:

In information gathering procedure S211, from management information system, collect with gather secondary device to be detected manufacturing, the characteristic quantity relevant to described evaluation index that put into operation, move, safeguard, produce in maintenance, process of the test, comprise the reference information of Back ground Information before putting into operation, operation information, test detection data, all previous service bulletin and record, equipment of the same type;

In information processing step S212, above-mentioned data are classified, pre-service respectively, the administrative relationships of apparatus for establishing nameplate and test, defect, bad condition etc.

Evaluation weight calculation procedure S22 can further comprise:

In hierarchical structure establishment step S221, obtain the each assessment item in the repair based on condition of component model of this equipment, and set up corresponding hierarchical structure according to described assessment item.

In project weight calculation step S222, set up the judgment matrix of this hierarchical structure, and described each assessment item is carried out to corresponding weight calculation.

In this step, model judgment matrix: the relatively relative importance of same layer minor element to upper level element, construct comparator matrix between two.Judgment matrix is the core of analytical hierarchy process, and it is relatively drawn between two by each object.Relatively time, relative importance is generally divided into " 1,3,5,7,9 " 5 grades, and the judgement corresponding with these five grades is " of equal importance, slightly important, important, significantly important, extremely important ".If desired judge more specifically grade, can insert " 2,4,6,8 " four sub-grades, " 2 " are the intermediate values between " 1 ", " 3 ", and under normal circumstances, nine scales are enough to distinguish the difference between things.In analytical hierarchy process, in order to make decision-making judge quantification, form numerical value judgment matrix A=[a ij].

Secondly calculate evaluation weight according to this judgment matrix:

Calculate the long-pending M of each row element of judgment matrix A i:

M i = Π i = 1 n a ij , i = 1,2,3 , · · · n

Calculate each row M in power root:

W ‾ i = M i n , i = 1,2,3 , · · · n

In formula, n is matrix exponent number.

By vector normalization, is calculated as follows:

W i = W ‾ i Σ i = 1 n W ‾ i

W ibe the weight of required evaluation index.

In consistency check step S223, described weight calculation result is carried out to consistency check, if assay pass through, executing state score calculation step S23, otherwise, re-execute project weight calculation step S222.Carrying out consistency check step S223 is the validity in order to ensure this judgment matrix, and then scientifically reflects the relative importance consideration of each index.Its checkout procedure is as follows:

Calculate the eigenvalue of maximum λ of judgment matrix A max:

λ max = Σ i = 1 n ( A · W ) i / n W i

In formula:

(A·W) i=a i1W 1+a i2W 2+…+a inW n

Calculate coincident indicator C i:

C I = λ max - n n - 1

Calculate Consistency Ratio C r:

C R = C I R I

Conventionally work as C r=0 o'clock, A had crash consistency; Work as C rwhen < 0.1, A has satisfactory consistency, and this judgment matrix can be used for doing step analysis; Work as C r>=0.1 o'clock, A had non-satisfactory consistency, and should adjust or give up need not.When specific implementation, estimator can consider, in tendentiousness and the dirigibility of holding in assessment indicator system, on purpose to distribute and adjust the weight of each evaluation index.

Condition grading calculation procedure S23 can further comprise:

Individual event score calculation step S231, the individual event scoring of calculating respectively each assessment item according to described data message, and obtain corresponding sub-Strategies of Maintenance according to its individual event scoring.When specific implementation, this step can further comprise:

In elementary item scoring step S2311, calculate its elementary item scoring according to the Back ground Information of this equipment, and obtain corresponding sub-Strategies of Maintenance according to this elementary item scoring.The evaluation index of elementary item can include: manufactures and shop test, and transport, installation and commissioning test, family's equipment safety operation record, working times etc., its elementary item evaluate formula (B) is as follows:

B = 60 + &Sigma; i = 1 n B i

Wherein, B iby forming manufacture and shop test, transport, installation and commissioning test, working time etc.

In pilot project scoring step S2312, calculate its pilot project scoring according to the test figure information of this equipment, and obtain corresponding sub-Strategies of Maintenance according to this pilot project scoring.The evaluation index of pilot project can include: remote control circuit inspection, and remote measurement, remote signalling accuracy testing, the inspection of device alarm function, observing and controlling loop Insulation Test etc., its pilot project evaluate formula (T) is as follows:

T = &Sigma; i = 1 4 W T i &Pi; i = 1 4 T i ( x ) W T i &times; 100

In formula, T i(x) be the scoring of i pilot project, for the weight of its correspondence.T i(x) be calculated as:

T i ( x ) = 1 - ( x f - x x f ) k ( i = 1,2,3,4 )

Wherein, x is trial value, x ffor ratings, the value size of k has reflected the relation of this Test and measurement health status.

In online monitoring data scoring step S2313, calculate its online monitoring data scoring according to the online monitoring data information of this equipment, and obtain corresponding sub-Strategies of Maintenance according to this online monitoring data scoring.The evaluation index of online monitoring data can include: CPU usage, and SOE resolution, remote signalling changes the response time, opens into supply voltage etc., and its online monitoring data evaluate formula is as follows:

E = &Sigma; i = 1 5 W Ei &Pi; i = 1 5 Ei ( x ) W Ei &times; 100

The scoring that Ei (x) is i Monitoring Data, W eifor the weight of its correspondence.

Ei (x) is calculated as:

Ei ( x ) = ( x - x max x 0 - x max ) k

In formula, in the time of Ei (x) < 0, make Ei (x)=0; In the time of Ei (x) > 1, make Ei (x)=1.Wherein, x 0for base value, x maxfor demand value, x is measured value.

In bad operating condition scoring step S2314, the bad condition information experiencing according to this equipment is calculated its bad condition scoring, and obtains corresponding sub-Strategies of Maintenance according to this bad condition scoring.The evaluation index of bad operating condition can include: electromagnetic interference (EMI), and mains voltage variations, common mode interference, environmental impact etc., its bad operating condition evaluate formula is as follows:

I = 100 e - &Sigma; k = 1 m W Ik

M is the number of times that bad condition occurs, W ikit is the scoring of the k time operating mode.

In family defect scoring step S2315, calculate its family's defect scoring according to existing defect information in the equipment of the same type family of this equipment, and obtain corresponding sub-Strategies of Maintenance according to this family's defect scoring.The evaluation index of family's defect can include: with manufacturer's homologous series same model defect, with manufacturer's same different model defect of thanking you for your congratulation, with manufacturer's different series defect etc., its family's defect evaluate formula is as follows:

F = ( N - m ) &Sigma; j = 1 m W Fj n j N &Sigma; j = 1 m W Fj

In formula, N is the total number of units of family's equipment, and m is repeated defects number of units, n jbe the scoring of j platform measuring and controlling equipment defect, it is j platform measuring and controlling equipment family mass defect weight.

" family " in family's defect refers to other equipment that belong to same manufacturer, same model with current device; Only have family's equipment that similar defect more than two occurs, and responsibility is for manufacturing or design, just carries out family's defect scoring.

In addition, equipment score calculation step S23 also includes:

Comprehensive grading step S232, according to individual event scoring and the corresponding evaluation weight thereof of in step S2311-S2315 assessment item, calculates the comprehensive grading of this equipment, and carries out reasoning according to this comprehensive grading and substrategy, can form corresponding comprehensive Strategies of Maintenance.Equipment state scoring can be calculated according to the following formula:

H=B×W B+T×W T+E×W E+I×W I+F×W F

In formula, B is elementary item scoring, and T is pilot project scoring, and E is online monitoring data scoring, and I is bad operating condition scoring, and F is family's defect scoring, W b, W t, W e, W i, W fbe followed successively by their weight.

Maintenance solution formulation step S3 can specifically include:

Risk assessment step S31, according to the safety of equipment, environment and benefit factor, calculate the degree of risk that needs the operation of the equipment of maintenance to exist, this step is on the condition grading data basis to needing repair apparatus, consider the risk of safety, environment and three aspects of benefit, calculate the degree of risk that this equipment operation exists, for the formulation of turnaround plan and emergency preplan provides foundation.Its degree of risk computing formula is as follows:

R=P·C

In formula: R is risk; P is the probability that accident occurs; C is the consequence (or loss) that accident produces.

Plan output step S32, in conjunction with above-mentioned each Strategies of Maintenance and degree of risk, adopts forward reasoning method, can formulate and the turnaround plan of output needle to this equipment.In this step, taking equipment state evaluation result as basis, with reference to risk evaluation result, in the situation that taking into full account electric network composition, the necessity and urgency of overhaul of the equipments is sorted, determine maintenance mode, content, and formulate concrete maintenance scheme.When specific implementation, turnaround plan can be divided into two major parts: the one, cover long-term maintenance, maintenance plan in whole secondary device life cycle, for the maintenance in coaching device life cycle management, maintenance work; The 2nd, the annual overhaul plan corresponding with company fund planning and rolling planning for many years, planning, for instructing carrying out of annual overhaul work, and service work arrangement and credit requirement in the following regular period.

In the present embodiment, electric grid secondary equipment can be measuring and controlling equipment, telecontrol equipment, communication system and to time system etc.

Describe an embodiment of electric grid secondary equipment state overhauling device provided by the invention in detail below with reference to Fig. 2; As shown in the figure, the present embodiment mainly includes:

Maintenance model is set up unit 1, and for setting up for secondary device the repair based on condition of component model that includes some assessment items and Strategies of Maintenance in management information system, wherein, each assessment item includes at least one evaluation index;

Equipment state evaluation unit 2, for obtain the online and/or off-line data information of evaluation index of each assessment item the repair based on condition of component model of secondary device to be detected from management information system, and carries out state evaluation according to described data message to this equipment;

Maintenance solution formulation unit 3, for according to the Strategies of Maintenance of the state evaluation result of this equipment and described repair based on condition of component model, formulates the maintenance scheme to this equipment.

When specific implementation, equipment state evaluation unit 2 can specifically include:

Facility information collector unit 21, for obtaining the online and/or off-line data information of evaluation index of each assessment item from management information system;

Evaluation weight computing unit 22, for adopting analytical hierarchy process to calculate the evaluation weight of the each assessment item of described state evaluation model;

Condition grading computing unit 23, is connected with evaluation weight computing unit with described facility information collector unit, for calculate the condition grading of this equipment in conjunction with described data message and evaluation weight corresponding to described assessment item.

Wherein, facility information acquisition unit 21 can further comprise:

Information collection unit 211, for collect from MIS with gather secondary device to be detected manufacturing, the characteristic quantity relevant to described evaluation index that put into operation, move, safeguard, produce maintenance, process of the test, comprise the reference information of Back ground Information before putting into operation, operation information, test detection data, all previous service bulletin and record, equipment of the same type;

Information process unit 212, classifies to above-mentioned data, pre-service respectively, the administrative relationships of apparatus for establishing nameplate and test, defect, bad condition etc.

Evaluation weight computing unit 22 can further include:

Hierarchical structure is set up unit 221, for obtaining each assessment item of state evaluation model of secondary device, and sets up corresponding hierarchical structure according to described assessment item;

Project weight calculation unit 222, sets up unit with described hierarchical structure and is connected, and for setting up the judgment matrix of this hierarchical structure, and described each assessment item is carried out to corresponding weight calculation;

Consistency check unit 223, is connected with described project weight calculation unit, for described weight calculation result is carried out to consistency check, if assay pass through, starting state score calculation unit 23, otherwise, restart project weight calculation unit 222.

Condition grading computing unit 23 can further include:

Individual event scoring unit 231, is connected with described facility information collector unit, for calculate respectively the individual event scoring of each assessment item according to described data message, and obtains corresponding sub-Strategies of Maintenance according to its individual event scoring;

Comprehensive grading unit 232, is connected with described individual event scoring unit, for according to individual event scoring and the corresponding evaluation weight thereof of described each assessment item, calculates the comprehensive grading of this equipment, and obtains corresponding comprehensive Strategies of Maintenance according to this comprehensive grading.

Wherein, the individual event Unit 231 of marking can further include:

Elementary item scoring unit 2311, for calculate its elementary item scoring according to the Back ground Information of this equipment, and obtains corresponding sub-Strategies of Maintenance according to this elementary item scoring;

Pilot project scoring unit 2312, for calculate its pilot project scoring according to the test figure information of this equipment, and obtains corresponding sub-Strategies of Maintenance according to this pilot project scoring;

Online monitoring data scoring unit 2313, for calculate its online monitoring data scoring according to the online monitoring data information of this equipment, and obtains corresponding sub-Strategies of Maintenance according to this online monitoring data scoring;

Bad condition scoring unit 2314, calculates its bad condition scoring for the bad condition information experiencing according to this equipment, and obtains corresponding sub-Strategies of Maintenance according to this bad condition scoring;

Family defect scoring unit 2315, calculates its family's defect scoring for the defect information existing according to the equipment of the same type family of this equipment, and obtains corresponding sub-Strategies of Maintenance according to this family's defect scoring.

Maintenance solution formulation unit 3 can specifically include:

Risk assessment unit 31, is connected with equipment state evaluation unit 2, for according to the safety of equipment, environment and benefit factor, determines the degree of risk that needs the operation of the equipment of maintenance to exist;

Plan output unit 32, is connected with risk assessment unit 31 with condition grading computing unit 23, in conjunction with above-mentioned each Strategies of Maintenance and degree of risk, formulates and the turnaround plan of output needle to this equipment.

In the present embodiment, described secondary device include measuring and controlling equipment, telecontrol equipment, communication system and to time system.

The present embodiment is the device corresponding with method in previous embodiment, and each technical characterictic of previous embodiment is all applicable to the present embodiment, repeats no more.

Compared with prior art, tool of the present invention has the following advantages:

1, only need be for different secondary devices, in MIS, set up corresponding evaluation and maintenance model, need to be in transformer substation side erecting device and maintenance, as long as electric substation automation system, EMS integral system, real time data center can normally be moved, the present invention just can implement, and can greatly reduce investment and maintenance cost;

2, because electric grid secondary equipment state overhauling model of the present invention is based upon in mis system, thereby not only can read the information of single substation secondary device, can also read the secondary device information of full electric network, comprise equipment Foundations information, Test Information, on-line monitoring information, bad condition information and family's defect information, can realize the coordination with warning device;

The state that 3, can utilize MIS to move electric grid secondary equipment is evaluated, and for the repair based on condition of component of equipment provides decision-making foundation, thereby can improve the security of operation of power networks.

The above is the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications are also considered as protection scope of the present invention.

Claims (8)

1. an electric grid secondary equipment state overhauling method, is characterized in that, the method includes:
Maintenance model establishment step sets up for secondary device the repair based on condition of component model that includes some assessment items and Strategies of Maintenance in management information system, and wherein, each assessment item includes at least one evaluation index;
Equipment state evaluation procedure obtains the online and/or off-line data information of the evaluation index of each assessment item in the repair based on condition of component model of secondary device to be detected, and according to described data message, this equipment is carried out to state evaluation from management information system;
Maintenance solution formulation step, according to the Strategies of Maintenance in the state evaluation result of this equipment and described repair based on condition of component model, formulates the maintenance scheme to this equipment;
Wherein, described equipment state evaluation procedure specifically includes:
Facility information obtains step, obtains the online and/or off-line data information of the evaluation index of each assessment item from management information system;
Evaluation weight calculation procedure, adopts analytical hierarchy process to calculate the evaluation weight of each assessment item in described state evaluation model;
Condition grading calculation procedure, calculates the condition grading of this equipment in conjunction with described data message and evaluation weight corresponding to described assessment item.
2. electric grid secondary equipment state overhauling method as claimed in claim 1, is characterized in that, described evaluation weight calculation procedure specifically includes:
Hierarchical structure establishment step, obtains the each assessment item in the repair based on condition of component model of this equipment, and sets up corresponding hierarchical structure according to described assessment item;
Project weight calculation step, sets up the judgment matrix of this hierarchical structure, and described each assessment item is carried out to corresponding weight calculation;
Consistency check step, carries out consistency check to described weight calculation result, if assay is passed through, carries out described condition grading calculation procedure, otherwise, re-execute described project weight calculation step.
3. electric grid secondary equipment state overhauling method as claimed in claim 1 or 2, is characterized in that, described condition grading calculation procedure specifically includes:
Individual event scoring step, the individual event scoring of calculating respectively each assessment item according to described data message, and obtain corresponding sub-Strategies of Maintenance according to its individual event scoring;
Comprehensive grading step, according to individual event scoring and the corresponding evaluation weight thereof of described each assessment item, calculates the comprehensive grading of this equipment, and obtains corresponding comprehensive Strategies of Maintenance according to this comprehensive grading.
4. electric grid secondary equipment state overhauling method as claimed in claim 3, is characterized in that, described secondary device include measuring and controlling equipment, telecontrol equipment, communication system and to time system.
5. an electric grid secondary equipment state overhauling device, is characterized in that, includes:
Maintenance model is set up unit, and for setting up for secondary device the repair based on condition of component model that includes some assessment items and Strategies of Maintenance in management information system, wherein, each assessment item includes at least one evaluation index;
Equipment state evaluation unit, for obtain the online and/or off-line data information of evaluation index of each assessment item the repair based on condition of component model of secondary device to be detected from management information system, and carries out state evaluation according to described data message to this equipment;
Maintenance solution formulation unit, for according to the Strategies of Maintenance of the state evaluation result of this equipment and described repair based on condition of component model, formulates the maintenance scheme to this equipment;
Wherein, described equipment state evaluation unit specifically includes:
Facility information collector unit, for obtaining the online and/or off-line data information of evaluation index of each assessment item from management information system;
Evaluation weight computing unit, for adopting analytical hierarchy process to calculate the evaluation weight of the each assessment item of described state evaluation model;
Condition grading computing unit, is connected with evaluation weight computing unit with described facility information collector unit, for calculate the condition grading of this equipment in conjunction with described data message and evaluation weight corresponding to described assessment item.
6. electric grid secondary equipment state overhauling device as claimed in claim 5, is characterized in that, described evaluation weight computing unit specifically includes:
Hierarchical structure is set up unit, for obtaining each assessment item of state evaluation model of secondary device, and sets up corresponding hierarchical structure according to described assessment item;
Project weight calculation unit, sets up unit with described hierarchical structure and is connected, and for setting up the judgment matrix of this hierarchical structure, and described each assessment item is carried out to corresponding weight calculation;
Consistency check unit, is connected with described project weight calculation unit, for described weight calculation result is carried out to consistency check, if assay is passed through, starts described condition grading computing unit, otherwise, restart described project weight calculation unit.
7. the electric grid secondary equipment state overhauling device as described in claim 5 or 6, is characterized in that, described condition grading computing unit specifically includes:
Individual event scoring unit, is connected with described facility information collector unit, for calculate respectively the individual event scoring of each assessment item according to described data message, and obtains corresponding sub-Strategies of Maintenance according to its individual event scoring;
Comprehensive grading unit, is connected with described individual event scoring unit, for according to individual event scoring and the corresponding evaluation weight thereof of described each assessment item, calculates the comprehensive grading of this equipment, and obtains corresponding comprehensive Strategies of Maintenance according to this comprehensive grading.
8. electric grid secondary equipment state overhauling device as claimed in claim 7, is characterized in that, described secondary device include measuring and controlling equipment, telecontrol equipment, communication system and to time system.
CN201110127762.4A 2011-05-16 2011-05-16 State maintenance method and device for secondary equipment of power grid CN102222276B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201110127762.4A CN102222276B (en) 2011-05-16 2011-05-16 State maintenance method and device for secondary equipment of power grid

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201110127762.4A CN102222276B (en) 2011-05-16 2011-05-16 State maintenance method and device for secondary equipment of power grid

Publications (2)

Publication Number Publication Date
CN102222276A CN102222276A (en) 2011-10-19
CN102222276B true CN102222276B (en) 2014-07-30

Family

ID=44778821

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201110127762.4A CN102222276B (en) 2011-05-16 2011-05-16 State maintenance method and device for secondary equipment of power grid

Country Status (1)

Country Link
CN (1) CN102222276B (en)

Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102590652B (en) * 2012-01-10 2014-03-26 山东电力研究院 Electric-information-based equipment performance evaluation system and method
CN102693514A (en) * 2012-05-17 2012-09-26 云南电力试验研究院(集团)有限公司电力研究院 Automatic evaluation method for transformer equipment based on equipment risk pre-control and key equipment monitoring
CN102800030B (en) * 2012-06-28 2016-02-10 贵州电力试验研究院 Comprehensive reliability interactive iteration assessment method for regional power grid relay protection equipment
CN103020761B (en) * 2012-12-05 2016-05-11 山东电力集团公司电力科学研究院 A kind of power distribution network repair method based on automatic division unit and evaluation
CN103066572B (en) * 2012-12-10 2016-01-06 广东电网公司佛山供电局 Based on relaying protection on-line monitoring method and the device of protecting communication system
CN103093319A (en) * 2013-02-06 2013-05-08 广东电网公司电力调度控制中心 Power system communication emergency capacity assessment method
CN103218695B (en) * 2013-05-03 2016-06-01 国家电网公司 Secondary equipment intelligence state evaluation diagnostic system and method thereof
CN103336839A (en) * 2013-07-16 2013-10-02 国家电网公司 Electric system specialized overhaul data processing method
CN103400224B (en) * 2013-07-25 2016-12-28 广州供电局有限公司 GIS device repair method and GIS device maintenance aid decision-making system
CN103679547B (en) * 2013-11-29 2017-02-22 国家电网公司 Optimization method for missed steps of relay protection
CN103617561A (en) * 2013-12-02 2014-03-05 深圳供电局有限公司 System and method for evaluating state of secondary device of power grid intelligent substation
CN103699942B (en) * 2013-12-26 2016-06-08 广东电网有限责任公司电力科学研究院 A kind of maintenance engineering quota qualitative assessment and Forecasting Methodology and system
CN104463406A (en) * 2014-10-14 2015-03-25 国家电网公司 Management method for information in power grid
CN104573845B (en) * 2014-12-03 2018-07-27 国家电网公司 Information system equipment state overhauling aid decision-making method
CN104539051B (en) * 2014-12-30 2017-06-23 国网江苏省电力公司经济技术研究院 A kind of secondary equipment of intelligent converting station online evaluation system
CN104574004A (en) * 2015-02-15 2015-04-29 国家电网公司 Auxiliary distribution network state maintenance system
CN105320123B (en) * 2015-09-25 2018-03-13 中国南方电网有限责任公司 A kind of measuring and controlling equipment health status evaluation system and method based on online monitoring data
CN106390867A (en) * 2016-08-29 2017-02-15 孟玲 Maintenance system of methanation fluidization magnetron reactor system
CN106611244A (en) * 2016-12-06 2017-05-03 国电南瑞科技股份有限公司 Multi-dimensional comprehensive assessment method for state of power distribution automation secondary device
CN106843100A (en) * 2016-12-13 2017-06-13 国网北京市电力公司 Substation secondary device running status level determination method and device
CN107180267B (en) * 2017-06-01 2020-05-05 国家电网公司 Familial defect diagnosis method of secondary operation and maintenance management system

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101859409A (en) * 2010-05-25 2010-10-13 广西电网公司电力科学研究院 Power transmission and transformation equipment state overhauling system based on risk evaluation

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101859409A (en) * 2010-05-25 2010-10-13 广西电网公司电力科学研究院 Power transmission and transformation equipment state overhauling system based on risk evaluation

Also Published As

Publication number Publication date
CN102222276A (en) 2011-10-19

Similar Documents

Publication Publication Date Title
Thomas et al. Power system SCADA and smart grids
US20180210479A1 (en) Microgrid model based automated real time simulation for market based electric power system optimization
Cao et al. Forecasting wind speed with recurrent neural networks
US9466034B2 (en) Renewable energy configurator
Nielsen et al. On risk-based operation and maintenance of offshore wind turbine components
CN101930047B (en) On-line monitoring device of transformer winding state and monitoring method thereof
CN103487749B (en) Mechanical state of high-voltage circuit breaker on-line monitoring and diagnosis system and method
CN102289590B (en) Method for estimating operating state of SF6 high-voltage circuit breaker and intelligent system
CN103454491B (en) Intelligent electric meter and power quality detection method
Villalba et al. Hybrid demand model for load estimation and short term load forecasting in distribution electric systems
CN103971171B (en) A kind of transmission facility state evaluating method
CN102866321B (en) Self-adaptive stealing-leakage prevention diagnosis method
CN101446827B (en) Process fault analysis device of process industry system and method therefor
CN103793853B (en) Condition of Overhead Transmission Lines Based appraisal procedure based on two-way Bayesian network
US10223167B2 (en) Discrete resource management
CN102013085B (en) Evaluation method for distribution network reliability
CN105046402B (en) A kind of state evaluating method applied to secondary equipment of intelligent converting station
US20100274603A1 (en) Dynamic sustainability factor management
CN106655522A (en) Master station system suitable for operation and maintenance management of secondary equipment of power grid
CN102063651B (en) Urban power grid risk evaluation system based on on-line data acquisition
CN103400209B (en) Power distribution network maintenance embodiment optimization method
CN104200396B (en) A kind of wind turbine component fault early warning method
CN102789447B (en) Based on the icing of grey multiple linear regression and the analytical approach of meteorological relation
CN104134999A (en) Power-distribution-network measurement effectiveness analysis practical calculation method based on multiple data sources
CN102360467B (en) Method for generating long-term maintenance strategy of electric distribution system in view of ageing properties of element

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
GR01 Patent grant
C14 Grant of patent or utility model
TR01 Transfer of patent right

Effective date of registration: 20160823

Address after: Luohu District Shenzhen Shennan Road 518000 No. 4020 Guangdong provincial power dispatching center building

Patentee after: Shenzhen Power Supply Bureau Co., Ltd.

Address before: 518000 No. 4020 Shennan East Road, Guangdong, Shenzhen

Patentee before: Shenzhen Power Supply Bureau of Guangdong Power Grid Corporation

C41 Transfer of patent application or patent right or utility model