CN105514843B - A kind of 750kV substation secondary device repair methods based on Monitoring Data - Google Patents

A kind of 750kV substation secondary device repair methods based on Monitoring Data Download PDF

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Publication number
CN105514843B
CN105514843B CN201510902984.7A CN201510902984A CN105514843B CN 105514843 B CN105514843 B CN 105514843B CN 201510902984 A CN201510902984 A CN 201510902984A CN 105514843 B CN105514843 B CN 105514843B
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China
Prior art keywords
secondary device
reliability
substation
repair
substation secondary
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CN201510902984.7A
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CN105514843A (en
Inventor
任伟
董海鹰
黄巨朋
姚军
朱文才
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Lanzhou Jiaotong University
Maintenace Co of State Grid Anhui Electric Power Co Ltd
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Lanzhou Jiaotong University
Maintenace Co of State Grid Anhui Electric Power Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02BBOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
    • H02B3/00Apparatus specially adapted for the manufacture, assembly, or maintenance of boards or switchgear
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02HEMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
    • H02H7/00Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
    • H02H7/22Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for distribution gear, e.g. bus-bar systems; for switching devices
    • H02H7/226Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for distribution gear, e.g. bus-bar systems; for switching devices for wires or cables, e.g. heating wires

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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Power Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a kind of 750kV substation secondary device repair methods based on Monitoring Data in 750kV substation secondary device repairs based on condition of component field, methods described includes:The substation secondary device average life span forecast model based on two parameter Weibull is established using the Monitoring Data and history data of substation secondary device;According to the running status assessment result combination substation equipment time between predetermined repairs of secondary device, substation secondary device adjusting type preventative maintenance method is formulated, the influence for avoiding substation equipment regular inspection from causing secondary device reliability to reduce.The present invention is capable of the maintenance policy that assist support personnel adjusts secondary device, avoids the waste for a large amount of human and material resources that timing preventative maintenance brings, and ensures the safe and stable operation of 750kV substation secondary devices.

Description

A kind of 750kV substation secondary device repair methods based on Monitoring Data
Technical field
The invention belongs to secondary equipment in power system Condition-Based Maintenance Technology field, in particular to one kind is based on Monitoring Data 750kV substation secondary device repair methods.
Technical background
Northwest 750kV networking projects, it is that project scale maximum, voltage class highest, circuit be most in Northwest Grid development history A long and the most complicated ehv power transmission engineering, is the big passage that the extreme misery wind-powered electricity generation of the Northwest is sent outside.750kV power transformations Stand and be used as 750kV grid contact hinges, its safe and continuous stable operation directly affects the power supply quality of whole 750kV power networks.
Method currently used for substation secondary device life prediction is only to consider the family's defect of secondary device in itself And related hardware factor, the assessment to secondary device real-time online can not be realized, while show for protective relaying device Some methods do not have the situation for taking into full account its hidden fault, cause to assess parameter deficiency during life prediction, predict what is obtained Life model is inaccurate;In terms of secondary device Strategies of Maintenance formulation, current method is still used centered on reliability Timing Strategies of Maintenance, causes the reliability of secondary device to reduce with the increase of maintenance number, while causes a large amount of manpower and materials Waste, can not realize secondary device dynamic maintenance method.
The formulation of the adjusting type Strategies of Maintenance of 750kV substation secondary devices, it is therefore an objective to cause two avoiding equipment regular inspection Assist support personnel in a planned way formulates repair schedule while secondary device reliability reduces, and reduces the wave of human and material resources resource Take, try hard on the premise of ensureing the reliable sexual satisfaction relevant regulations of secondary device, improve the energy of 750kV substation safety stable operations Power.
The content of the invention
The present invention provides a kind of 750kV substation secondary device repair methods based on Monitoring Data, existing for solving Secondary device assesses data deficiencies in technology, can not realize in real time to the on-line prediction in secondary device life-span, and existing fixed When maintenance the problem of causing substantial amounts of manpower and materials to waste.
To achieve these goals, technical scheme proposed by the present invention is:
A kind of 750kV substation secondary device repair methods based on Monitoring Data, the repair method mainly include being based on Life prediction of the 750kV substation secondary devices of two-parameter weibull distribution in the case where considering protective relaying device hidden fault Model, and formulate the adjusting type prophylactic repair method based on substation secondary device Life Prediction Model.
The specific formulating method of the 750kV substation secondary device repair methods based on Monitoring Data is as follows:
Step 1:Collect substation secondary device history run fault message and monitor information on-line and record failure thing Part, generate event of failure collection;
Step 2:Event of failure is solved using the method for Average Iteration and concentrates different timetCorresponding relay protection dress The reliability R put, generation reliability set H;
Step 3:Believed according to the measurement of the electric current or impedance of the monitoring information of transformer station's electrical quantity and protective relaying device Breath judges whether protective relaying device there may be hidden fault and record the timet’
Step 4:The Markov model for the protective relaying device fault rate prediction that there may be hidden fault is established, is calculated The probability of its hidden fault ist’The fault rate of the protective relaying device at moment, so as to try to achieve its reliability R ';
Step 5:By what is tried to achievet’The reliability of moment protective relaying device adds reliability set H, and generation is counted and hidden The complete or collected works H ' of the reliability set of failure;
Step 6:Establish the Life Prediction Model of substation secondary device two-parameter weibull distribution;
Step 7:The Reliability Function of least square fitting secondary device is used using the complete or collected works H ' of reliability set, is entered Row parameter evaluation, parameter to be estimated is tried to achieve, obtain the Reliability Function of secondary device;Tried to achieve by the Reliability Function of secondary device The average life span of secondary device, formulate the secondary device adjusting type repair method based on average life span.
The specific formulation step of the secondary device adjusting type repair method based on average life span is in the step 7:
Step 701:According to the average life span time limit of 750kV substation secondary devices and the Reliability Function of equipment, meter Calculate its average life span;
Step 702:Adjusting type drafts repair time interval calculation, is reaching reliability requirementIn the case of, maintenance interval Timing definition is:
Step 703:Calculate secondary device residual lifeT S , average remaining lifetimeT P And the mean free error timeT h, judge Draft the repair time interval whether be less than minT S T P T h, take min T,T S T P T hIt is repair time interval;
Step 704:After each preventative maintenance, the average remaining lifetime of computing device and the failure of maintenance next time Rate, time between overhaul is dynamically adjusted according to average remaining lifetime and failure probability, formulates secondary device dynamic repair schedule.
The present invention be on the basis of the Monitoring Data of the measure and control device secondary device global to transformer station is collected, it is and secondary Equipment life curve obeys two-parameter weibull distribution, by the analysis to history data and real time on-line monitoring data, Take into full account that protective relaying device there may be the possibility of hidden fault, establish the model of secondary device life prediction, improve The problem of data deficiencies and inaccurate assessment models are assessed during assessment, the parameter of the life model obtained using least square method More meet the practical operation situation of secondary device, for substation secondary device life prediction parameter evaluation provide it is a kind of accurate, Effective method.Simultaneously according to resulting average life span, secondary device adjusting type method for maintaining is formulated, avoids transformer station's timing from examining The waste of manpower and materials caused by repairing, while avoid carrying out maintenance before the secondary device mean down time causing equipment reliability The problem of attenuating.The repair method of its adjusting type is formulated based on accurately secondary device model, 750kV power transformations can be aided in The staff that stands effectively and rapidly solves the maintenance issue of equipment, while ensures the safe and stable fortune of substation secondary device OK.
Brief description of the drawings
Fig. 1 is implementing procedure figure of the present invention;.
Fig. 2 is the Markov model of protection element hidden fault of the present invention prediction.
Embodiment
The present invention and its effect are further illustrated below in conjunction with the accompanying drawings.
Reference picture 1, a kind of 750kV substation secondary device repair methods based on Monitoring Data, it includes 750kV power transformations Stand Reliability assessment method of the secondary device in the case where considering protective relaying device hidden fault, formulate pre- based on the secondary device life-span Survey the adjusting type repair method of model;
Above-mentioned 750kV substation secondary devices Reliability assessment method, its step are as follows:
Step 1:Collect, analysis substation secondary device(Based on protective relaying device)History run fault message and Monitor information on-line(Alarm, failure and the abnormal information of the self-checking unit of protective relaying device)And event of failure is recorded, generate Event of failure collection G(Time t and the corresponding secondary device number of stoppages), the reliability of an event is sought using the method for iteration, is built The time t of vertical secondary device and corresponding reliability reliability set H, computational methods are as follows:
Wherein,jFor sample size;
A k For being averaged repeatly for fault sample;
kFor fault sample serial number;
A k-1For being averaged repeatly for preceding 1 fault sample;
ΔAFor average increment repeatly;
iFor all sample numbers of being sequentially arranged;
t k ForiRun time before individual sample failure;
F(t) it is failure Cumulative Distribution Function;
For reliability.
Step 2:By taking the protective relaying device of principle of distance relay as an example, illustrate to judge protective relaying device with the presence or absence of hidden The method for hiding failure:Extract the measurement current value and voltage of distance protection equipment at same feeder line adjacent two in detection means Value, extract in detection means at adjacent 2 on same feeder lineMNVoltage, current fluctuation larger time point in distance protection equipment Locate the voltage in 1 power frequency periodU MU N, electric currentI MI N, the calculating of impedance is measured, calculation formula is as follows:
In formula:U SU CFor fundamental voltage sinusoidal component, cosine component;
I SI CFor fundamental current sinusoidal component, cosine component;
RXFor measurement resistance and reactance.
Step 3:Calculate respectivelyMNThe difference and calculation error of protective relaying device measurement reactance at two, if error More than a certain threshold value, then it is determined thatMOrNThere is hidden fault in the impedance computation module of place's distance protection, specific to calculate Formula is as follows:
MNSection resistance difference, reactance it is poorRespectively:
In formula:R MWithX MForMThe resistance value and reactance value in section;
X M WithX NForNThe resistance value and reactance value in section.
MNSection resistance, reactance calculation error are respectively:
In formula:R LMNX LMNForMNResistance, reactance estimated value at two.When there is ΔR% or ΔX% is more than a certain threshold range When, illustrate protective relaying deviceMNPlace's distance protection there may be hidden fault.
Step 4:The probability of malfunction that possible hidden fault protective relaying device be present is calculated using Markov model, is such as schemed 2, in figure, C is protected element, and P is protective relaying device.The state of protective relaying device has 4 classes:Normal condition (UP), therefore Barrier state (DN), hidden fault maloperation state (DUM) and hidden fault refuse mode of operation (DUN);The shape of protected element State has 2 classes:Normal condition (UP) and malfunction (DN);For the fault rate of protected element,u cTo be protected element Repair rate,For protection element(Protective relaying device)Fault rate,C 1For the self-checking system normal work of protection element Probability(Successfully detect the probability of failure),C 2It is the probability of protection element maloperation,C 3For protection element self-checking system failure and Protection element refuses the probability of operation,C 4For protection element self-checking system failure and the probability of protection element maloperation,u1 is protection The repair rate of element(Recoverable probability),For external fault when protection element maloperation probability, wherein:
Step 5:The hidden fault protective relaying device for calculating failure rate is designated as event of failure and tries to achieve this moment Protective relaying device reliability include secondary device reliability set H generation meter and hidden fault reliability set complete or collected works H’;
Step 6:Establish substation secondary device(Protective relaying device)The Predicting Reliability mould of two-parameter weibull distribution Type:
The reliability distribution function of two-factor Weibull distribution is:
Failure rate function is:
Failure density function is:
Wherein:tValue is >=0;
mFor form parameter;
For scaling function.
Step 7:The Reliability Function of least square fitting secondary device is used using reliability collection complete or collected works H ', is joined Number is assessed, and is tried to achieve parameter to be estimated, is obtained substation secondary device(Protective relaying device)The reliability of two-parameter weibull distribution Function.The average life span of secondary device is tried to achieve by the Reliability Function of secondary device, that formulates based on average life span secondary sets Standby adjusting type method for maintaining.
The adjusting type repair method based on secondary device Life Prediction Model is formulated, its method and step is as follows:
Step 1:According to the average life span time limit of 750kV substation secondary devices and the Reliability Function of equipment, calculate Its average life span, is calculated as follows:
Wherein T is the average time before equipment failure;
For average life span, as T expectation;
, m be Weibull distribution two parameters to be estimated;
Step 2:Adjusting type repair time interval calculation, reaching reliability requirementIn the case of, draft maintenance interval Timing definition is:
Wherein,TFor time interval, unit is day;
Required for the reliability of secondary device,>0.95;
By eTTime interval T can be obtained with Taylor series expansion;
Step 3:Calculate secondary device residual lifeT S , average remaining lifetimeT P And the mean free error timeT h, judge to intend Regular inspection repair time interval whether be less than minT S T P T h, take min T,T S T P T hIt is time interval;
Step 4:After each preventative maintenance, the average remaining lifetime of computing device and the crash rate of maintenance next time, Time between overhaul is dynamically adjusted according to average remaining lifetime and failure probability, formulates secondary device dynamic repair schedule, such as Fig. 1.

Claims (2)

  1. A kind of 1. 750kV substation secondary device repair methods based on Monitoring Data, it is characterised in that:The repair method is main Including the 750kV substation secondary devices based on two-parameter weibull distribution in the case where considering protective relaying device hidden fault Life Prediction Model, and formulate the adjusting type prophylactic repair method based on substation secondary device Life Prediction Model;The base It is as follows in the specific formulating method of the 750kV substation secondary device repair methods of Monitoring Data:
    Step 1:Collect substation secondary device history run fault message and monitor information on-line and record event of failure, Generate event of failure collection;
    Step 2:Event of failure is solved using the method for Average Iteration and concentrates different timetCorresponding protective relaying device Reliability R, generation reliability set H;
    Step 3:Sentenced according to the metrical information of the electric current or impedance of the monitoring information of transformer station's electrical quantity and protective relaying device Whether disconnected protective relaying device there may be hidden fault and records the timet’
    Step 4:The Markov model for the protective relaying device fault rate prediction that there may be hidden fault is established, it is hidden to calculate its Hide failure probability bet’The fault rate of the protective relaying device at moment, so as to try to achieve its reliability R ';
    Step 5:By what is tried to achievet’The reliability of moment protective relaying device adds reliability set H, generation meter and hidden fault Reliability set complete or collected works H ';
    Step 6:Establish the Life Prediction Model of substation secondary device two-parameter weibull distribution;
    Step 7:The Reliability Function of least square fitting secondary device is used using the complete or collected works H ' of reliability set, is joined Number is assessed, and is tried to achieve parameter to be estimated, is obtained the Reliability Function of secondary device;Tried to achieve by the Reliability Function of secondary device secondary The average life span of equipment, formulate the secondary device adjusting type repair method based on average life span.
  2. 2. a kind of 750kV substation secondary device repair methods based on Monitoring Data according to claim 1, its feature It is:The specific formulation step of the secondary device adjusting type repair method based on average life span is in the step 7:
    Step 701:According to the average life span time limit of 750kV substation secondary devices and the Reliability Function of equipment, it is calculated Average life span;
    Step 702:Adjusting type drafts repair time interval calculation, is reaching reliability requirementIn the case of, time between overhaul It is defined as:
    Step 703:Calculate secondary device residual lifeT S , average remaining lifetimeT P And the mean free error timeT h, judge to draft Repair time interval whether be less than minT S T P T h, take min T,T S T P T hIt is repair time interval;
    Step 704:After each preventative maintenance, the average remaining lifetime of computing device and the crash rate of maintenance next time, root Time between overhaul is dynamically adjusted according to average remaining lifetime and failure probability, formulates secondary device dynamic repair schedule.
CN201510902984.7A 2015-12-09 2015-12-09 A kind of 750kV substation secondary device repair methods based on Monitoring Data Expired - Fee Related CN105514843B (en)

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CN106777603B (en) * 2016-12-02 2019-12-17 国网江苏省电力公司镇江供电公司 intelligent substation relay protection device service life prediction method
CN115664009B (en) * 2022-10-26 2024-02-09 国网新疆电力有限公司阿克苏供电公司 Relay protection on-line monitoring system based on big data
CN116231874B (en) * 2023-05-09 2023-07-21 天津华利智慧科技有限公司 Intelligent box-type substation operation state early warning method

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CN103630781B (en) * 2013-11-27 2014-12-10 贵州电力试验研究院 Composite energy supply non-contact on-line monitoring system for active electronic current transformer and data processing method thereof
CN103971024A (en) * 2014-05-26 2014-08-06 华北电力大学(保定) Method for evaluating reliability of relaying protection systems under small sample failure data

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