CN103389427A - Online detection method and system for GIS (gas insulated switchgear) operational condition - Google Patents
Online detection method and system for GIS (gas insulated switchgear) operational condition Download PDFInfo
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- CN103389427A CN103389427A CN2013103306902A CN201310330690A CN103389427A CN 103389427 A CN103389427 A CN 103389427A CN 2013103306902 A CN2013103306902 A CN 2013103306902A CN 201310330690 A CN201310330690 A CN 201310330690A CN 103389427 A CN103389427 A CN 103389427A
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Abstract
The invention provides an online detection method and system for a GIS operational condition. The method comprises the steps as follows: firstly, an upper-limit threshold value and a lower-limit threshold value are set according to characters of a characteristic value, the characteristic value is subtracted from a standard characteristic value, and a deviation value is obtained; then whether the deviation value exceeds the upper-limit threshold value or the lower-limit threshold value is judged, if yes, a warning signal is sent out directly, otherwise, the deviation value is multiplied by a weight coefficient corresponding to the standard characteristic value to obtain a threshold value; and finally, all threshold values obtained in the detecting time are accumulated to obtain a total threshold value, and the GIS operational condition is confirmed according to the total threshold value. The online detection method and system for the GIS operational condition adopt a weight-containing detection method, so that the weights and status of the characteristic value in different time are represented, previous GIS operational conditions are reflected in consideration of historical data, and the GIS operational condition can be accurately detected online.
Description
Technical field
The present invention relates to the online measuring technique field, particularly relate to GIS equipment running status online test method and system.
Background technology
Intelligent gas insulation in combined electric appliance (Gas Insulated Switchgear, GIS equipment) is for the construction that adapts to intelligent grid puts forward, and plays protection and control action in electric system, and its reliability directly affects the safe operation of whole electrical network.The infrastructure device of intelligent grid is the primary equipment of intelligence, and the construction of intelligent grid be unable to do without the intelligent construction that comprises the primary equipments such as GIS equipment, and GIS device intelligence construction degree direct influence intelligent substation, informationization.Along with the raising of integrated automation of transformation stations level (unmanned), the reliability of GIS equipment is had higher requirement.Smart machine is GIS equipment and the combination of relevant intelligent assembly.Intelligent assembly turns to feature with measurement digitizing, control networking, status visualization, function integration, information interaction, possesses all or part of function in measurement, control, protection, metering, detection.The putting into operation of China, intelligence GIS equipment, as the primary element that has intelligent feature in electrical network, will be widely used in the construction of China's intelligent grid along with intelligent substation.
As a kind of brand-new equipment mode, intelligentized GIS equipment also has a lot of problems to need further to inquire in application.GIS equipment after carrying out intelligent construction, new effective means also will inevitably occur to its state evaluation.Grasp in real time the running status of the primary equipments such as GIS equipment, for the science scheduling provides foundation; Can make judgement fast and effectively to GIS equipment failure type and life assessment,, to instruct operation and maintenance, reduce the operational management cost, reduce newborn hidden danger and produce probability, strengthen operational reliability.The accuracy of GIS equipment on-line running status judgement depends on its monitoring and analytical approach.GIS equipment on-line monitoring analytical approach is exactly that the characteristic parameter that will be after signal is processed obtains and permission parameter or the discrimination standard of regulation compare, thereby determine duty, the type that whether has fault and fault and the character etc. of GIS equipment, thereby the trend that may develop according to the current data predicted state is simultaneously carried out the fault trend analysis, should formulate rational criterion and strategy for this reason.
Due to the complicacy of GIS device structure and the diversity of failure mode, also fewer to the paractical research of GIS equipment enforcement state recognition at present.Recognition methods commonly used is relatively as basic simple judgment method take threshold value, namely according to some simple parameters, to isolating switch, there are non-fault and the fault order of severity to judge and distinguish, the method is more single, and the GIS equipment running status is not only relevant with current running status, also relevant with the historical data of running status before, so above-mentioned detection method with the threshold value comparison can't accurately detect the GIS equipment running status.
Summary of the invention
Based on this, be necessary can't accurately detect for existing GIS equipment running status online test method the problem of GIS equipment running status, a kind of method and system that can accurately detect the GIS equipment running status is provided.
A kind of GIS equipment running status online test method comprises step:
According to the character of the eigenwert of GIS equipment running status, capping threshold value and lower limit threshold value;
It is poor that the eigenwert of described GIS equipment running status and the corresponding reference characteristic value of described eigenwert are done, and obtains deviate;
Judge whether described deviate surpasses described upper limit threshold value or described lower limit threshold value,, if surpass, directly sends alerting signal,, if do not surpass, described deviate be multiply by and the corresponding weight coefficient of described reference characteristic value, draws threshold value;
, with the total threshold value of the cumulative acquisition of all described threshold values in detection time, according to described total threshold value, determine described GIS equipment running status.
A kind of GIS equipment running status on-line detecting system comprises:
The threshold settings module, be used for the character according to the eigenwert of GIS equipment running status, capping threshold value and lower limit threshold value;
The deviate acquisition module, it is poor to be used for the eigenwert of described GIS equipment running status and the corresponding reference characteristic value of described eigenwert are done, the acquisition deviate;
Judge module, be used for judging whether described deviate surpasses described upper limit threshold value or described lower limit threshold value, if surpass, directly send alerting signal, if do not surpass, described deviate be multiply by and the corresponding weight coefficient of described reference characteristic value, draw threshold value;
Results analyses module, be used for the total threshold value of the cumulative acquisition of all described threshold values in detection time is determined described GIS equipment running status according to described total threshold value.
GIS equipment running status online test method of the present invention, utilize the eigenwert of GIS equipment running status, the reference characteristic value and with the corresponding weight coefficient of described eigenwert, GIS equipment is contained the analysis of weight, wherein, weight coefficient distributes according to time sequencing, the weight coefficient that put each detection time is not identical, larger with the weight coefficient of the nearer time point of current detection time point, overcome so general GIS equipment running status online test method and can't embody eigenwert residing weight and status on different time, also reacted simultaneously the impact of historical data on the current GIS equipment running status, GIS equipment running status online test method of the present invention embodies eigenwert residing weight and status on different time, take into account historical data reaction GIS equipment running status before, thereby can accurately detect online the GIS equipment running status.
Description of drawings
Fig. 1 is the schematic flow sheet of first embodiment of GIS equipment running status online test method of the present invention;
Fig. 2 is the schematic flow sheet of second embodiment of GIS equipment running status online test method of the present invention;
Fig. 3 is the structural representation of first embodiment of GIS equipment running status on-line detecting system of the present invention;
Fig. 4 is the structural representation of second embodiment of GIS equipment running status on-line detecting system of the present invention.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer, below reach with reference to the accompanying drawings embodiment, the present invention is further elaborated.Should be appreciated that concrete enforcement described herein, only in order to explain the present invention, does not limit the present invention.
, for the ease of the technical scheme of explain GIS equipment running status online test method of the present invention and system, in following specific embodiment, will select letter to refer to part numerical value.
As shown in Figure 1, a kind of GIS equipment running status online test method comprises step:
S200: according to character, capping threshold value and the lower limit threshold value of the eigenwert of GIS equipment running status.
According to the character of each eigenwert, capping threshold value and lower limit threshold value, this threshold value can be set according to operator's experience, also can set according to the historical record data of GIS equipment running status.
S400: it is poor that the eigenwert of described GIS equipment running status and the corresponding reference characteristic value of described eigenwert are done, and obtains deviate.
Each eigenwert has an its corresponding reference characteristic value, after the eigenwert of having obtained the GIS equipment running status, just according to this eigenwert, obtains its corresponding reference characteristic value, then eigenwert and reference characteristic value do poorly, obtains deviate.
S600: judge whether described deviate surpasses described upper limit threshold value or described lower limit threshold value,, if surpass, directly sends alerting signal,, if do not surpass, described deviate be multiply by and the corresponding weight coefficient of described reference characteristic value, draws threshold value.
Whether the judgment bias value surpasses upper limit threshold value or lower limit threshold value; if surpass and directly send alerting signal; inform that operator's current GIS equipment running status is abnormal, need to shut down the reparing fault, if surpass, deviate not multiply by weight coefficient acquisition threshold value.Wherein, weight coefficient distributes according to time sequencing, and each, the weight coefficient of point was not identical detection time, and is larger with the weight coefficient of the nearer time point of current detection time point.For example the upper and lower limit threshold value is respectively 6 and 3;, if current acquisition deviate is 5, multiply by current detection weight coefficient constantly with 5 and obtain threshold value, if current acquisition deviate is 7 or 2; directly send alerting signal, inform that maintenance appears extremely needing to shut down in the operation of GIS equipment.
S800:, with the total threshold value of the cumulative acquisition of all described threshold values in detection time, according to described total threshold value, determine described GIS equipment running status.
Obtain respectively threshold value to putting all detection times in default sense cycle, afterwards again with cumulative total threshold value, the threshold decision GIS equipment running status total according to this of obtaining of all threshold values.Specifically, total the less of threshold value shows that the GIS equipment running status is better.
Below will adopt a specific embodiment, and use letter to refer to the numerical value that occurs in whole step, explain in detail the technical scheme of GIS equipment running status online test method of the present invention.
First-selected character according to each eigenwert of GIS equipment running status, set high alarm setting and lower limit threshold value, the eigenwert X that will obtain online afterwards
iDeduct its corresponding reference value C
i, obtain the deviation of measured value and reference value, if deviation exceeds the bound threshold value, the alert signal of directly transmitting messages,, if do not have out-of-limitly, multiply by weight coefficient a corresponding to this eigenwert to this deviation
i, acquired results A
I (threshold value)Expression, i.e. A
I (threshold value)=a
i* (X
i-C
i), finally with each the corresponding A of eigenwert constantly that obtains in certain hour
I (threshold value)Value is cumulative, acquired results S
(threshold value)Expression, i.e. S
(threshold value)=Σ A
I (threshold value).By analyzing S
(threshold value)Size, can intuitively reflect the residing state of GIS equipment, S
(threshold value)Value less, show that the GIS equipment running status is better.
GIS equipment running status online test method of the present invention, utilize the eigenwert of GIS equipment running status, the reference characteristic value and with the corresponding weight coefficient of described eigenwert, GIS equipment is contained the analysis of weight, wherein, weight coefficient distributes according to time sequencing, the weight coefficient that put each detection time is not identical, larger with the weight coefficient of the nearer time point of current detection time point, overcome so general GIS equipment running status online test method and can't embody eigenwert residing weight and status on different time, also reacted simultaneously the impact of historical data on the current GIS equipment running status, GIS equipment running status online test method of the present invention embodies eigenwert residing weight and status on different time, take into account historical data reaction GIS equipment running status before, thereby can accurately detect online the GIS equipment running status.
As shown in Figure 2, therein in embodiment, before described step S200 also in steps:
S100: eigenwert and the reference characteristic value of obtaining described GIS equipment running status.
What obtain here can be the eigenwert of obtaining online the GIS equipment running status, can be also the historical data that directly reads the GIS equipment running status, or the conventional data of Computer Storage directly imports and reads.
As shown in Figure 2, therein in embodiment, before described step S600 also in steps:
S500: calculate and the corresponding described weight coefficient group of described eigenwert, described weight coefficient group comprises a plurality of weight coefficients, and the computing formula of described weight coefficient is
M=(n wherein
3+ 5n)/6, a
nFor the weight coefficient of current detection time point, n is from starting to detect the detection number of times of current detection time point.
Weight coefficient distributes according to time sequencing, and each, the weight coefficient of point was not identical detection time, and is larger with the weight coefficient of the nearer time point of current detection time point.For example the current detection number of times is that the 4th in the current detection cycle detects, m=16, a
4=0.375.
As shown in Figure 2, in embodiment, described step S800 specifically comprises therein:
S820: with the total threshold value of the cumulative acquisition of all described threshold values in detection time;
S840: described total threshold value and the first threshold of presetting and default Second Threshold are compared respectively, wherein, described default first threshold is less than described default Second Threshold, if described total threshold value is less than described default first threshold, described GIS equipment running status is good, if described total threshold value is less than described default Second Threshold and greater than described default first threshold, described GIS equipment running status is normal, if described total threshold value is greater than described default Second Threshold, described GIS equipment running status is abnormal.
Originally be in embodiment, be provided with default first threshold and default Second Threshold, be divided into three threshold intervals, three respectively corresponding abnormal, normal, good three state response GIS equipment running status of threshold interval, set-up mode so intuitively, the convenient operation person knows the current GIS equipment running status in time, fast, can meet the demand of most of detection case.Be to be understood that when actual conditions require to detect more accurately to the GIS equipment running status, the threshold value of multiple preset and the state corresponding from more different threshold intervals can be set more, carry out more precisely to react the GIS equipment running status, otherwise, can select to arrange the threshold value of a contrast or directly described total threshold value is compared with zero in the time only need roughly understanding the GIS equipment running status, more close to zero the time, described GIS equipment running status is better when described total threshold value.
Therein in embodiment, the priority of described reference characteristic value comprises successively from excellent to inferior, and product description, test findings, operating experience and expert are self-defined.
As shown in Figure 3, a kind of GIS equipment running status on-line detecting system comprises:
GIS equipment running status on-line detecting system of the present invention, utilize the eigenwert of GIS equipment running status, the reference characteristic value and with the corresponding weight coefficient of described eigenwert, GIS equipment is contained the analysis of weight, wherein, weight coefficient distributes according to time sequencing, the weight coefficient that put each detection time is not identical, larger with the weight coefficient of the nearer time point of current detection time point, overcome so general GIS equipment running status online test method and can't embody eigenwert residing weight and status on different time, also reacted simultaneously the impact of historical data on the current GIS equipment running status, GIS equipment running status on-line detecting system of the present invention embodies eigenwert residing weight and status on different time, take into account historical data reaction GIS equipment running status before, thereby can accurately detect online the GIS equipment running status.
As shown in Figure 4, in embodiment, described GIS equipment running status on-line detecting system also comprises therein:
Numerical value acquisition module 500, for eigenwert and the reference characteristic value of obtaining described GIS equipment running status.
As shown in Figure 4, in embodiment, described GIS equipment running status on-line detecting system also comprises therein:
Weight coefficient computing module 600, be used for calculating and the corresponding described weight coefficient group of described eigenwert, and described weight coefficient group comprises a plurality of weight coefficients, and the computing formula of described weight coefficient is
M=(n wherein
3+ 5n)/6, a
nFor the weight coefficient of current detection time point, n is from starting to detect the detection number of times of current detection time point.
As shown in Figure 4, in embodiment, described results analyses module 400 specifically comprises therein:
The numerical value unit 420 that adds up, be used for obtaining total threshold value with all described threshold values in detection time are cumulative;
Therein in embodiment, the priority of described reference characteristic value comprises successively from excellent to inferior, and product description, test findings, operating experience and expert are self-defined.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to the scope of the claims of the present invention.Should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. a GIS equipment running status online test method, is characterized in that, comprises step:
According to the character of the eigenwert of GIS equipment running status, capping threshold value and lower limit threshold value;
It is poor that the eigenwert of described GIS equipment running status and the corresponding reference characteristic value of described eigenwert are done, and obtains deviate;
Judge whether described deviate surpasses described upper limit threshold value or described lower limit threshold value,, if surpass, directly sends alerting signal,, if do not surpass, described deviate be multiply by and the corresponding weight coefficient of described reference characteristic value, draws threshold value;
, with the total threshold value of the cumulative acquisition of all described threshold values in detection time, according to described total threshold value, determine described GIS equipment running status.
2. GIS equipment running status online test method according to claim 1, is characterized in that, described step is according to the character of the eigenwert of GIS equipment running status, before capping threshold value and lower limit threshold value also in steps:
Obtain eigenwert and the reference characteristic value of described GIS equipment running status.
3. GIS equipment running status online test method according to claim 1 and 2, is characterized in that, described step judges that whether described deviate surpasses before described upper limit threshold or described lower limit threshold value also in steps:
Calculate and the corresponding described weight coefficient group of described eigenwert, described weight coefficient group comprises a plurality of weight coefficients, and the computing formula of described weight coefficient is
M=(n wherein
3+ 5n)/6, a
nFor the weight coefficient of current detection time point, n is from starting to detect the detection number of times of current detection time point.
4. GIS equipment running status online test method according to claim 1 and 2, is characterized in that, described step, with the total threshold value of the cumulative acquisition of all described threshold values in detection time, determines that according to described total threshold value described GIS equipment running status specifically comprises:
With the total threshold value of the cumulative acquisition of all described threshold values in detection time;
Described total threshold value and the first threshold of presetting and default Second Threshold are compared respectively, wherein, described default first threshold is less than described default Second Threshold, if described total threshold value is less than described default first threshold, described GIS equipment running status is good, if described total threshold value is less than described default Second Threshold and greater than described default first threshold, described GIS equipment running status is normal, if described total threshold value is greater than described default Second Threshold, described GIS equipment running status is abnormal.
5. GIS equipment running status online test method according to claim 1 and 2, is characterized in that, the priority of described reference characteristic value comprises successively from excellent to inferior, and product description, test findings, operating experience and expert are self-defined.
6. a GIS equipment running status on-line detecting system, is characterized in that, comprising:
The threshold settings module, be used for the character according to the eigenwert of GIS equipment running status, capping threshold value and lower limit threshold value;
The deviate acquisition module, it is poor to be used for the eigenwert of described GIS equipment running status and the corresponding reference characteristic value of described eigenwert are done, the acquisition deviate;
Judge module, be used for judging whether described deviate surpasses described upper limit threshold value or described lower limit threshold value, if surpass, directly send alerting signal, if do not surpass, described deviate be multiply by and the corresponding weight coefficient of described reference characteristic value, draw threshold value;
Results analyses module, be used for the total threshold value of the cumulative acquisition of all described threshold values in detection time is determined described GIS equipment running status according to described total threshold value.
7. GIS equipment running status on-line detecting system according to claim 6, is characterized in that, also comprises:
The numerical value acquisition module, for eigenwert and the reference characteristic value of obtaining described GIS equipment running status.
8. according to claim 6 or 7 described GIS equipment running status on-line detecting systems, is characterized in that, also comprises:
The weight coefficient computing module, be used for calculating and the corresponding described weight coefficient group of described eigenwert, and described weight coefficient group comprises a plurality of weight coefficients, and the computing formula of described weight coefficient is
M=(n wherein
3+ 5n)/6, a
nFor the weight coefficient of current detection time point, n is from starting to detect the detection number of times of current detection time point.
9. according to claim 6 or 7 described GIS equipment running status on-line detecting systems, is characterized in that, described results analyses module specifically comprises:
The numerical value unit that adds up, be used for obtaining total threshold value with all described threshold values in detection time are cumulative;
Status determining unit, be used for described total threshold value and the first threshold of presetting and default Second Threshold are compared respectively, wherein, described default first threshold is less than described default Second Threshold, if described total threshold value is less than described default first threshold, described GIS equipment running status is good, if described total threshold value is less than described default Second Threshold and greater than described default first threshold, described GIS equipment running status is normal, if described total threshold value is greater than described default Second Threshold, described GIS equipment running status is abnormal.
10. according to claim 6 or 7 described GIS equipment running status on-line detecting systems, is characterized in that, the priority of described reference characteristic value comprises successively from excellent to inferior, and product description, test findings, operating experience and expert are self-defined.
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CN108982989A (en) * | 2018-05-28 | 2018-12-11 | 国网内蒙古东部电力有限公司检修分公司 | Extra-high voltage DC grounding electrode operating status assessment system based on multi-characteristicquantity quantity information |
CN109298700A (en) * | 2018-11-16 | 2019-02-01 | 湖南省湘电试验研究院有限公司 | A kind of method and system of real-time judge thermal power unit operation abnormal parameters variation |
CN109583599A (en) * | 2018-11-23 | 2019-04-05 | 广州供电局有限公司 | Abnormal state detection method |
CN111243250A (en) * | 2019-12-25 | 2020-06-05 | 东软集团股份有限公司 | Maintenance early warning method, device and equipment based on alarm data |
CN113567163A (en) * | 2021-07-16 | 2021-10-29 | 北京新典恒益科技有限公司 | Roller coaster operation detection, analysis and abnormity early warning method |
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