CN105514843A - 750kV substation secondary equipment maintenance method based on monitoring data - Google Patents
750kV substation secondary equipment maintenance method based on monitoring data Download PDFInfo
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- CN105514843A CN105514843A CN201510902984.7A CN201510902984A CN105514843A CN 105514843 A CN105514843 A CN 105514843A CN 201510902984 A CN201510902984 A CN 201510902984A CN 105514843 A CN105514843 A CN 105514843A
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- China
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- secondary device
- reliability
- substation
- substation secondary
- protective relaying
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B3/00—Apparatus specially adapted for the manufacture, assembly, or maintenance of boards or switchgear
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency 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
- H02H7/22—Emergency 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
- H02H7/226—Emergency 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
Abstract
The present invention discloses a 750kV substation secondary equipment maintenance method based on monitoring data in the field of 750kV substation secondary equipment state maintenance. The method comprises a step of using the monitoring data and historical operation data of substation secondary equipment to establish a substation secondary equipment average life prediction model based on two parameters Weibull, a step of making the substation secondary equipment adjustment type preventive maintenance method according to the operation state evaluation result of the secondary equipment combined with substation equipment scheduled inspection time, and the influence of the reduction of the secondary equipment reliability caused by substation equipment scheduled inspection is avoided. According to the method, the maintenance personnel can be assisted to adjust the maintenance strategy of secondary equipment, the waste of large number of manpower and material resources brought by regular preventive maintenance is avoided, and the safe and stable operation of the 750kV substation secondary equipment is ensured.
Description
Technical field
The invention belongs to secondary equipment in power system Condition-Based Maintenance Technology field, specifically relate to a kind of 750kV substation secondary device repair method based on Monitoring Data.
Technical background
Northwest 750kV networking project, being that in Northwest Grid development history, project scale is maximum, electric pressure is the highest, circuit is the longest and a most complicated ehv power transmission engineering, is the major path that the extreme misery wind-powered electricity generation of the Northwest is sent outside.750kV transformer station is as 750kV grid contact hinge, and its safe and continuous stable operation directly affects the power supply quality of whole 750kV electrical network.
Method at present for substation secondary device life prediction is only consider family's defect of secondary device itself and relevant hardware factor, the assessment to secondary device real-time online can not be realized, do not take into full account the situation of its hidden fault for the existing method of protective relaying device simultaneously, when causing life prediction, evaluate parameter is not enough, predicts the life model inaccuracy obtained; In the formulation of secondary device Strategies of Maintenance, current method still adopts the timing Strategies of Maintenance centered by reliability, cause the reliability of secondary device to reduce with the increase of maintenance number of times, cause the waste of a large amount of manpower and materials simultaneously, the method for the dynamic maintenance of secondary device cannot be realized.
The formulation of the adjusting type Strategies of Maintenance of 750kV substation secondary device, object is that assist support personnel in a planned way formulates maintenance scheduling the equipment regular inspection of avoiding causes secondary device reliability to reduce while, reduce the waste of human and material resources resource, under trying hard to ensure that secondary device reliability meets the prerequisite of relevant regulations, improve the ability of 750kV substation safety stable operation.
Summary of the invention
The invention provides a kind of 750kV substation secondary device repair method based on Monitoring Data, not enough for solving secondary device assessment data in prior art, cannot realize the on-line prediction in real time to the secondary device life-span, and existing timing maintenance causes the problem of a large amount of manpower and materials wastes.
To achieve these goals, the technical scheme that the present invention proposes is:
A kind of 750kV substation secondary device repair method based on Monitoring Data; this repair method is that the 750kV substation secondary device mainly comprised based on two-parameter weibull distribution is considering the Life Prediction Model under protective relaying device hidden fault, and formulates the adjusting type prophylactic repair method based on substation secondary device Life Prediction Model.
The concrete formulating method of described repair method is as follows:
Step 1: collect substation secondary device history run fault message and on-line monitoring information and record trouble event, generates event of failure collection;
Step 2: adopt the method for Average Iteration to solve the reliability R that event of failure concentrates the protective relaying device corresponding to different time t, generates reliability set H;
Step 3: according to the metrical information of the monitoring information of transformer station's electric parameters and the electric current of protective relaying device or impedance judge protective relaying device whether may there is hidden fault and writing time t ';
Step 4: the Markov model setting up the protective relaying device failure rate prediction that may there is hidden fault, the probability calculating its hidden fault is the failure rate of the protective relaying device in t ' moment, thus tries to achieve its reliability R ';
Step 5: the reliability of t ' the moment protective relaying device of trying to achieve is added reliability set H, generates the complete or collected works H ' taking into account the reliability set of hidden fault;
Step 6: the Life Prediction Model setting up substation secondary device two-parameter weibull distribution;
Step 7: utilize reliability collection complete or collected works H ' to adopt the Reliability Function of least square fitting secondary device, carry out parameter evaluation, try to achieve solve for parameter, obtain the Reliability Function of secondary device; Tried to achieve the average life span of secondary device by the Reliability Function of secondary device, formulate the secondary device adjusting type repair method based on average life span.
The concrete formulation step of the secondary device adjusting type repair method based on average life span in described step 7 is:
Step 701: according to the average life span time limit of 750kV substation secondary device and the Reliability Function of equipment, calculate its average life span;
Step 702: adjusting type drafts repair time interval calculation, is reaching reliability requirement
when, time between overhaul is defined as:
；
Step 703: calculate secondary device residual life T
s, average remaining lifetime T
pand mean free error time T
h, judge whether draft repair time interval is less than min{T
s, T
p, T
h, get min{T, T
s, T
p, T
hit is repair time interval;
Step 704: after each preventive maintenance, the average remaining lifetime of computing equipment and the failure rate of maintenance next time, dynamically adjust time between overhaul according to average remaining lifetime and failure probability, formulate the dynamic maintenance scheduling of secondary device.
The present invention is on the basis of the Monitoring Data of the secondary device of transformer station's overall situation at collection measure and control device, and secondary device 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 may exist the possibility of hidden fault, set up the model of secondary device life prediction, data deficiencies and assessment models coarse problem is assessed when improving assessment, the parameter of the life model adopting least square method to obtain more meets the practical operation situation of secondary device, for substation secondary device life prediction parameter evaluation provides accurately a kind of, effective method.Simultaneously according to obtained average life span, formulate secondary device adjusting type method for maintaining, avoid transformer station regularly to overhaul the waste of the manpower and materials caused, avoid carrying out overhauling the problem causing equipment reliability to lower before the secondary device mean down time simultaneously.Based on accurately secondary device model, formulate the repair method of its adjusting type, 750kV work of transformer substation personnel can be assisted to solve the maintenance issue of equipment effectively and rapidly, ensure substation secondary device safety, stable operation simultaneously.
Accompanying drawing explanation
Fig. 1 is the invention process flow chart; .
Fig. 2 is the Markov model of protection component hidden fault of the present invention prediction.
Embodiment
Below in conjunction with accompanying drawing, the present invention and effect thereof are further illustrated.
With reference to Fig. 1, a kind of 750kV substation secondary device repair method based on Monitoring Data, it comprises 750kV substation secondary device considering the Reliability assessment method under protective relaying device hidden fault, formulates the adjusting type repair method based on secondary device Life Prediction Model;
Above-mentioned 750kV substation secondary device Reliability assessment method, its step is as follows:
Step 1: collect, analyze substation secondary device (based on protective relaying device) history run fault message and on-line monitoring information (alarm of the self-checking unit of protective relaying device, fault and abnormal information) and record trouble event; generate event of failure collection G(time t and the corresponding secondary device number of stoppages); the method of iteration is utilized to ask the reliability of an event; set up the time t of secondary device and the reliability set H of corresponding reliability, computational methods are as follows:
Wherein, j is sample size;
A
kfor fault sample average repeatly;
K is fault sample serial number;
A
k-1for front 1 fault sample average repeatly;
Δ A is average increment repeatly;
I is all samples number of arrangement in chronological order;
T
kit is running time before i-th sample fault;
F (t) is fault Cumulative Distribution Function;
for reliability.
Step 2: for the protective relaying device of principle of distance relay; illustrate and judge whether protective relaying device exists the method for hidden fault: the measurement current value and the magnitude of voltage that extract the adjacent two place's distance protection equipments of same feeder line on checkout gear, to extract on checkout gear on same feeder line the voltage U in larger 1, the time point place power frequency period of voltage in adjacent 2 place M, N distance protection equipments, current fluctuation
m, U
n, electric current I
m, I
n, carry out the calculating of measurement impedance, computing formula is as follows:
In formula: U
s, U
cfor fundamental voltage sinusoidal component, cosine component;
I
s, I
cfor fundamental current sinusoidal component, cosine component;
R, X are measuring resistance and reactance.
Step 3: the difference and the error of calculation that calculate M, N two places protective relaying device measurement reactance respectively, if error is greater than a certain threshold value, so just can judge that hidden fault appears in the impedance computation module of M or N place distance protection, specific formula for calculation is as follows:
M, N section resistance difference
, reactance is poor
be respectively:
In formula: R
mand X
mfor resistance value and the reactance value in M interval;
X
mand X
nfor resistance value and the reactance value in N interval.
M, N section resistance, the reactance error of calculation are respectively:
In formula: R
lMN, X
lMNfor M, N two place's resistance, reactance estimated value.When there is Δ R% or Δ X% is greater than a certain threshold range, illustrate that protective relaying device M, N place's distance protection may exist hidden fault.
Step 4: utilize Markov model to calculate the probability of malfunction of existence possibility hidden fault protective relaying device, as in Fig. 2, figure, C is protected element, and P is protective relaying device.The state of protective relaying device has 4 classes: normal condition (UP), malfunction (DN), and hidden fault misoperation state (DUM) and hidden fault refuse mode of operation (DUN); The state of protected element has 2 classes: normal condition (UP) and malfunction (DN);
for the failure rate of protected element, u
cfor being the repair rate of protected element,
for the failure rate of protection component (protective relaying device), C
1for the probability (i.e. the probability of successful detection failure) that the self-checking system of protection component normally works, C
2the probability of protection component misoperation, C
3for protection component self-checking system fault and protection component refuse operate probability, C
4for protection component self-checking system fault and the probability of protection component misoperation, u1 is the repair rate (recoverable probability) of protection component,
for the probability of protection component misoperation during external fault, wherein:
Step 5: the hidden fault protective relaying device calculating failure rate is designated as event of failure and the protective relaying device reliability of being tried to achieve in this moment is included secondary device reliability set H in and generated and take into account the complete or collected works H ' of the reliability set of hidden fault;
Step 6: the Predicting Reliability model setting up substation secondary device (protective relaying device) two-parameter weibull distribution:
The reliability distribution function of two-factor Weibull distribution is:
Failure rate function is:
Failure density function is:
Wherein: t value all >=0;
M is form parameter;
for scaling function.
Step 7: utilize reliability collection complete or collected works H ' to adopt the Reliability Function of least square fitting secondary device, carry out parameter evaluation, try to achieve solve for parameter, obtain the Reliability Function of substation secondary device (protective relaying device) two-parameter weibull distribution.Tried to achieve the average life span of secondary device by the Reliability Function of secondary device, formulate the secondary device adjusting type method for maintaining based on average life span.
Formulate the adjusting type repair method based on secondary device Life Prediction Model, its method step is as follows:
Step 1: according to the average life span time limit of 750kV substation secondary device and the Reliability Function of equipment, calculate its average life span, be calculated as follows:
Wherein T is the average time before equipment failure;
for average life span, be the expectation of T;
, m be Weibull distribution two solve for parameters;
Step 2: adjusting type repair time interval calculation, is reaching reliability requirement
when, draft time between overhaul and be defined as:
Wherein, T is the time interval, and unit is sky;
for the reliability requirement of secondary device,
>0.95;
By e
ttime interval T can be obtained by Taylor series expansion;
Step 3: calculate secondary device residual life T
s, average remaining lifetime T
pand mean free error time T
h, judge whether draft repair time interval is less than min{T
s, T
p, T
h, get min{T, T
s, T
p, T
hit is the time interval;
Step 4: after each preventive maintenance, the average remaining lifetime of computing equipment and the failure rate of maintenance next time, dynamically adjust time between overhaul according to average remaining lifetime and failure probability, formulate the dynamic maintenance scheduling of secondary device, as Fig. 1.
Claims (3)
1. the 750kV substation secondary device repair method based on Monitoring Data; it is characterized in that: this repair method is that the 750kV substation secondary device mainly comprised based on two-parameter weibull distribution is considering the Life Prediction Model under protective relaying device hidden fault, and formulates the adjusting type prophylactic repair method based on substation secondary device Life Prediction Model.
2. a kind of 750kV substation secondary device repair method based on Monitoring Data according to claim 1, is characterized in that: the concrete formulating method of described repair method is as follows:
Step 1: collect substation secondary device history run fault message and on-line monitoring information and record trouble event, generates event of failure collection;
Step 2: adopt the method for Average Iteration to solve the reliability R that event of failure concentrates the protective relaying device corresponding to different time t, generates reliability set H;
Step 3: according to the metrical information of the monitoring information of transformer station's electric parameters and the electric current of protective relaying device or impedance judge protective relaying device whether may there is hidden fault and writing time t ';
Step 4: the Markov model setting up the protective relaying device failure rate prediction that may there is hidden fault, the probability calculating its hidden fault is the failure rate of the protective relaying device in t ' moment, thus tries to achieve its reliability R ';
Step 5: the reliability of t ' the moment protective relaying device of trying to achieve is added reliability set H, generates the complete or collected works H ' taking into account the reliability set of hidden fault;
Step 6: the Life Prediction Model setting up substation secondary device two-parameter weibull distribution;
Step 7: utilize reliability collection complete or collected works H ' to adopt the Reliability Function of least square fitting secondary device, carry out parameter evaluation, try to achieve solve for parameter, obtain the Reliability Function of secondary device; Tried to achieve the average life span of secondary device by the Reliability Function of secondary device, formulate the secondary device adjusting type repair method based on average life span.
3. a kind of 750kV substation secondary device repair method based on Monitoring Data according to claim 2, is characterized in that: the concrete formulation step of the secondary device adjusting type repair method based on average life span in described step 7 is:
Step 701: according to the average life span time limit of 750kV substation secondary device and the Reliability Function of equipment, calculate its average life span;
Step 702: adjusting type drafts repair time interval calculation, is reaching reliability requirement
when, time between overhaul is defined as:
；
Step 703: calculate secondary device residual life T
s, average remaining lifetime T
pand mean free error time T
h, judge whether draft repair time interval is less than min{T
s, T
p, T
h, get min{T, T
s, T
p, T
hit is repair time interval;
Step 704: after each preventive maintenance, the average remaining lifetime of computing equipment and the failure rate of maintenance next time, dynamically adjust time between overhaul according to average remaining lifetime and failure probability, formulate the dynamic maintenance scheduling of secondary device.
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|---|---|---|---|
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106777603A (en) * | 2016-12-02 | 2017-05-31 | 国网江苏省电力公司镇江供电公司 | Relay protection device of intelligent substation life-span prediction method |
| CN115664009A (en) * | 2022-10-26 | 2023-01-31 | 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 |
| CN116231874A (en) * | 2023-05-09 | 2023-06-06 | 天津华利智慧科技有限公司 | Intelligent box-type substation operation state early warning method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040044499A1 (en) * | 2002-08-30 | 2004-03-04 | House Michael Brynn | Method and system for determining motor reliability |
| CN103630781A (en) * | 2013-11-27 | 2014-03-12 | 贵州电力试验研究院 | Composite energy supply non-contact on-line monitoring system for active electronic current transformer |
| 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 |
-
2015
- 2015-12-09 CN CN201510902984.7A patent/CN105514843B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040044499A1 (en) * | 2002-08-30 | 2004-03-04 | House Michael Brynn | Method and system for determining motor reliability |
| CN103630781A (en) * | 2013-11-27 | 2014-03-12 | 贵州电力试验研究院 | Composite energy supply non-contact on-line monitoring system for active electronic current transformer |
| 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 |
Non-Patent Citations (1)
| Title |
|---|
| 董海鹰: "基于Weibull分布的牵引变电所保护系统寿命预测", 《高电压技术》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106777603A (en) * | 2016-12-02 | 2017-05-31 | 国网江苏省电力公司镇江供电公司 | Relay protection device of intelligent substation life-span prediction method |
| 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 |
| CN115664009A (en) * | 2022-10-26 | 2023-01-31 | 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 |
| 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 |
| CN116231874A (en) * | 2023-05-09 | 2023-06-06 | 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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