CN104316875B - The on-line monitoring method of high-voltage circuit-breaker status and system - Google Patents
The on-line monitoring method of high-voltage circuit-breaker status and system Download PDFInfo
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- CN104316875B CN104316875B CN201410659898.3A CN201410659898A CN104316875B CN 104316875 B CN104316875 B CN 104316875B CN 201410659898 A CN201410659898 A CN 201410659898A CN 104316875 B CN104316875 B CN 104316875B
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Abstract
The invention provides a kind of on-line monitoring method and system of high-voltage circuit-breaker status, its method comprises step: access EMS system or SCADA system, obtain the running state data of primary cut-out from described EMS system or SCADA system; From described running state data, find out each SOE event of described primary cut-out closing course or the process of disconnection according to the key word preset, and record the triggered time of each described SOE event; Determine the multiple time intervals corresponding with the procedural type of described primary cut-out according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process; Respectively each described time interval is compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, the on-line monitoring to high-voltage circuit-breaker status can be realized.
Description
Technical field
The present invention relates to technical field of electric power, particularly relate to a kind of on-line monitoring method and system of high-voltage circuit-breaker status.
Background technology
Primary cut-out, as the visual plant in electric system, is responsible for the double action of control and protection in operation of power networks, and the reliability of its operation is related to the safe and stable operation of electric system.Its quantity in power station equipment is many simultaneously, investment is large, once be destroyed because of fault, maintenance difficulty is large, the time is long, can cause serious economic loss.The operational factor of primary cut-out is monitored, contribute to grasping its operation characteristic and variation tendency, find potential equipment failure hidden danger in advance, every state index of overall monitor isolating switch, reduce equipment failure rate, improve safety and the reliability of Operation of Electric Systems.
The status monitoring of primary cut-out contributes to grasping its operation characteristic and variation tendency, find potential equipment failure hidden danger in advance, every state index of overall monitor isolating switch, reduce equipment failure rate, improve safety and the reliability of Operation of Electric Systems, therefore, the high-voltage circuit-breaker status on-line monitoring system researching and developing primary cut-out has very urgent realistic meaning.
Summary of the invention
The object of the invention is to the on-line monitoring method and the system that improve a kind of high-voltage circuit-breaker status, the on-line monitoring to high-voltage circuit-breaker status can be realized.
Object of the present invention is achieved through the following technical solutions:
An on-line monitoring method for high-voltage circuit-breaker status, comprises the steps:
Access EMS system or SCADA system, obtain the running state data of primary cut-out from described EMS system or SCADA system;
From described running state data, find out each SOE event of described primary cut-out closing course or the process of disconnection according to the key word preset, and record the triggered time of each described SOE event;
Determine the multiple time intervals corresponding with the procedural type of described primary cut-out according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process;
Respectively each described time interval is compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, wherein, each described probability distribution generates according to the historical time intervals of correspondence in advance respectively.
An on-line monitoring system for high-voltage circuit-breaker status, comprising:
Acquisition module, for accessing EMS system or SCADA system, obtains the running state data of primary cut-out from described EMS system or SCADA system;
Search module, for finding out each SOE event of described primary cut-out closing course or the process of disconnection from described running state data according to the key word preset, and record the triggered time of each described SOE event;
Determination module, for determining the multiple time intervals corresponding with the procedural type of described primary cut-out according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process;
Processing module, for respectively each described time interval being compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, wherein, each described probability distribution generates according to the historical time intervals of correspondence in advance respectively.
According to the scheme of the invention described above, it is access EMS system or SCADA system, the running state data of primary cut-out is obtained from this EMS system or SCADA system, from described running state data, each SOE event of described primary cut-out closing course or the process of disconnection is found out according to the key word preset, and record the triggered time of each described SOE event, the multiple time intervals corresponding with the procedural type of described primary cut-out are determined according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process, respectively each described time interval is compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, wherein, each described probability distribution generates according to the historical time intervals of correspondence in advance respectively, owing to being the running state data obtaining primary cut-out from EMS system or SCADA system, the acquisition of data is quick in real time, and be to determine the fault type of primary cut-out according to the comparison of the time interval and corresponding probability distribution, realization is simple and efficient, effectively, simultaneously, the status monitoring to different procedural types (closing course or the process of disconnection) can be carried out, achieve the on-line monitoring to high-voltage circuit-breaker status.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the on-line monitoring method embodiment one of high-voltage circuit-breaker status of the present invention;
Fig. 2 is the schematic flow sheet of the on-line monitoring method embodiment two of high-voltage circuit-breaker status of the present invention;
Fig. 3 is the schematic flow sheet of the on-line monitoring method embodiment three of high-voltage circuit-breaker status of the present invention;
Fig. 4 is the structural representation of the on-line monitoring system embodiment of high-voltage circuit-breaker status of the present invention.
Embodiment
For making object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is described in further detail.Should be appreciated that embodiment described herein only in order to explain the present invention, do not limit protection scope of the present invention.
In the following description, the embodiment first for the on-line monitoring method of high-voltage circuit-breaker status of the present invention is described, then is described each embodiment of the on-line monitoring system of high-voltage circuit-breaker status of the present invention.
Embodiment one
Shown in Figure 1, be the schematic flow sheet of the on-line monitoring method embodiment one of high-voltage circuit-breaker status of the present invention.As shown in Figure 1, the on-line monitoring method of the high-voltage circuit-breaker status in the present embodiment comprises the steps:
Step S101: access EMS system (energy management system) or SCADA system (data acquisition and surveillance), obtain the running state data of primary cut-out from described EMS system or SCADA system;
SOAP (SimpleObjectAccessProtocol can be passed through, Simple Object Access Protocol) protocol access EMS system, complete the Real-time Obtaining of the running state data of primary cut-out, can also change the data type of the running state data got further;
Step S102: each SOE (SequenceOfEvent finding out described primary cut-out closing course or the process of disconnection according to the key word preset from described running state data, sequence of events recording) event, and record the triggered time of each described SOE event;
What search is the same closing course once of same primary cut-out or each SOE event of the process of disconnection herein, can be distinguished different primary cut-outs by the mark of primary cut-out, due to closing course or disconnect duration all shorter (millisecond magnitude) of process, and often experience for a long time between twice, front and back closing course or disconnection process, such as, several hours even tens hours, therefore, can judge whether SOE event belongs to a closing course or disconnection process by the triggered time of SOE event;
Step S103: determine the multiple time intervals corresponding with the procedural type of described primary cut-out according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process;
Each procedural type, to there being multiple SOE event, namely to there being multiple triggered time, according to procedural type difference, can solve the interval between two required triggered times;
Step S104: respectively each described time interval is compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, wherein, each described probability distribution generates according to the historical time intervals of correspondence in advance respectively;
Wherein, described probability distribution refers generally to normal distribution, this probability distribution can be generated by a fairly large number of historical time intervals, if current time interval is the time interval in the triggered time of a SOE event and the triggered time of the 2nd SOE event, then the probability distribution that current time interval is corresponding is generated by the historical time intervals in the triggered time of an a fairly large number of SOE event and the triggered time of the 2nd SOE event;
Each described time interval and corresponding probability distribution are compared the probable range that can obtain residing for each described time interval, if the probable range obtained is not default, corresponding normal probability region, then the corresponding time interval is abnormal time interval;
Preset time range can be arranged according to actual needs, and the preset time range corresponding to the different time intervals can be different;
Determine that two SOE events that the fault type of described primary cut-out refers to corresponding to described abnormal time interval determine the fault type of described primary cut-out according to described abnormal time interval.
Accordingly, according to the scheme of above-mentioned the present embodiment, it is access EMS system or SCADA system, the running state data of primary cut-out is obtained from this EMS system or SCADA system, from described running state data, each SOE event of described primary cut-out closing course or the process of disconnection is found out according to the key word preset, and record the triggered time of each described SOE event, the multiple time intervals corresponding with the procedural type of described primary cut-out are determined according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process, respectively each described time interval is compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, wherein, each described probability distribution generates according to the historical time intervals of correspondence in advance respectively, owing to being the running state data obtaining primary cut-out from EMS system or SCADA system, the acquisition of data is quick in real time, and be to determine the fault type of primary cut-out according to the comparison of the time interval and corresponding probability distribution, realization is simple and efficient, effectively, simultaneously, the status monitoring to different procedural types (closing course or the process of disconnection) can be carried out, achieve the on-line monitoring to high-voltage circuit-breaker status.
Embodiment two
Take procedural type as closing course for example is described in the present embodiment.
Shown in Figure 2, be the schematic flow sheet of the on-line monitoring method embodiment two of high-voltage circuit-breaker status of the present invention.As shown in Figure 2, the on-line monitoring method of the high-voltage circuit-breaker status in the present embodiment comprises the steps:
Step S201: access EMS system (energy management system) or SCADA system (data acquisition and surveillance), obtain the running state data of primary cut-out from described EMS system or SCADA system;
Step S202: find out switch spring non-energy storage action event respectively according to the key word preset from described running state data, the first switch intermediate state event, switch close event, switch spring non-energy storage involution event, and record described switch spring non-energy storage action event, triggered time that described first switch intermediate state event, described switch close event, described switch spring non-energy storage involution event;
Namely the SOE event in above-described embodiment one comprises switch spring non-energy storage action event, the first switch intermediate state event, switch close event, switch spring non-energy storage involution event; The key word the preset partial character that can be the alphabet of the name of each SOE event also can be wherein, such as, the non-energy storage action event of switch spring, corresponding key word can be " the non-energy storage action of switch spring ", also can be " spring unstored energy ";
Step S203: determine that very first time interval between described switch spring non-energy storage action event and described first switch intermediate state event, described switch spring non-energy storage action event and described switch close that second time interval between event, described first switch intermediate state event and described switch close the 3rd time interval between event, described switch closes event and the 4th time interval of described switch spring non-energy storage involution event according to the described triggered time;
Step S204: respectively described very first time interval, described second time interval, described 3rd time interval, described 4th time interval are compared with corresponding probability distribution, if any one in described very first time interval, described second time interval, described 3rd time interval be not in the normal probability region of correspondence, then determine that switching-on mechanism fault appears in described primary cut-out, if described 4th time interval not in the normal probability region of correspondence, then determines that stored energy mechanism fault appears in described primary cut-out;
By the object that described very first time interval, described second time interval, described 3rd time interval, described 4th time interval and corresponding probability distribution compare be respectively: whether inquire about described very first time interval, described second time interval, described 3rd time interval, described 4th time interval long or too short.
Identical with above-described embodiment one of other technologies feature in the present embodiment, does not repeat them here.
Embodiment three
Be described for the procedural type process of being off in the present embodiment.
Shown in Figure 3, be the schematic flow sheet of the on-line monitoring method embodiment three of high-voltage circuit-breaker status of the present invention.As shown in Figure 3, the on-line monitoring method of the high-voltage circuit-breaker status in the present embodiment comprises the steps:
Step S301: access EMS system (energy management system) or SCADA system (data acquisition and surveillance), obtain the running state data of primary cut-out from described EMS system or SCADA system;
Step S302: find out switch control circuit broken string action event, second switch intermediate state event, switch disconnected event, switch control circuit broken string involution event respectively according to the key word preset from described running state data, and record the triggered time of described switch control circuit broken string action event, described second switch intermediate state event, described switch disconnected event, described switch control circuit broken string involution event;
Namely the SOE event in above-described embodiment one comprises switch control circuit broken string action event, second switch intermediate state event, switch disconnected event, switch control circuit broken string involution event;
It should be noted that, the title of the switch intermediate state event in running state data does not really include first, second, at this, just in order to distinguish two kinds of switch intermediate state events, when specifically searching, can distinguish according to the SOE event before and after it is the first switch intermediate state event or second switch intermediate state event;
Step S303: determine that the 5th time interval, described switch control circuit between described switch control circuit broken string action event and described second switch intermediate state event break the 6th time interval between action event and described switch disconnected event, the 7th time interval between described second switch intermediate state event and described switch disconnected event according to the described triggered time;
Step S304: respectively described 5th time interval, described 6th time interval, described 7th time interval are compared with corresponding probability distribution, if any one in described 5th time interval, described 6th time interval, described 7th time interval not in the normal probability region of correspondence, then determines that switching-on mechanism fault appears in described primary cut-out.
Whether inquire about described 5th time interval, described 6th time interval, described 7th time interval long respectively by described 5th time interval, described 6th time interval, described 7th time interval and the object that corresponding probability distribution compares.
Identical with above-described embodiment two or embodiment one of other technologies feature in the present embodiment, does not repeat them here.
In addition, wherein in an embodiment, the on-line monitoring method of high-voltage circuit-breaker status of the present invention can also comprise step: circuit breaker lock action event or the circuit breaker lock involution event of from described running state data, searching described primary cut-out according to the key word preset; If find described circuit breaker lock action event or described circuit breaker lock involution event, then determine that closing locking fault, reclosing block fault or operating mechanism blocking by low pressure fault appear in described primary cut-out.
On the other hand, consider the situation that may occur Missing data in the data transmission procedure of EMS system or SCADA system, online monitoring data can be adopted as a supplement, for this reason, the on-line monitoring method of high-voltage circuit-breaker status of the present invention in an embodiment wherein, step can also be comprised: when not finding each SOE event of described primary cut-out closing course or the process of disconnection, or when not finding whole SOE event corresponding to described procedural type, or current lookup to each SOE event of described primary cut-out procedural type with on the procedural type of each SOE event that once finds consistent time, obtain the stroke-time curve of the moving contact of the described primary cut-out that default displacement transducer gathers, the triggered time laggard line item of each described SOE event is determined according to described stroke-time curve, wherein, the tested object of displacement transducer is the displacement of the gear train of the moving contact of described primary cut-out.
In the present embodiment, each SOE event not finding described primary cut-out closing course or the process of disconnection refers to: do not find certain closing course of primary cut-out or whole SOE events of the process of disconnection; The whole SOE events not finding described procedural type corresponding refer to: do not find certain closing course of primary cut-out or the part SOE event of the process of disconnection, the SOE event yet namely found is incomplete; Due to for a primary cut-out, being once the SOE event of disconnection process if front, then should be this time the SOE event of closing course, if be still off the SOE event of process, then inevitable at least lost should be once the SOE event of closing course.
Stroke-time curve is in the present embodiment continuous print, can be obtained the triggered time of each described SOE event, existing mode specifically can be adopted to realize, do not repeat them here by the waveform analyzing this curve.
According to the on-line monitoring method of the high-voltage circuit-breaker status of the invention described above, the present invention also provides a kind of on-line monitoring system of high-voltage circuit-breaker status, and just the embodiment of the on-line monitoring system of high-voltage circuit-breaker status of the present invention is described in detail below.The structural representation of the embodiment of the on-line monitoring system of high-voltage circuit-breaker status of the present invention has been shown in Fig. 4.For convenience of explanation, part related to the present invention is merely illustrated in the diagram.
As shown in Figure 4, the on-line monitoring system of the high-voltage circuit-breaker status in the present embodiment, comprises acquisition module 401, searches module 402, determination module 403, processing module 404, wherein:
Acquisition module 401, for accessing EMS system or SCADA system, obtains the running state data of primary cut-out from described EMS system or SCADA system;
Search module 402, for finding out each SOE event of described primary cut-out closing course or the process of disconnection from described running state data according to the key word preset, and record the triggered time of each described SOE event;
Determination module 403, for determining the multiple time intervals corresponding with the procedural type of described primary cut-out according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process;
Processing module 404, for respectively each described time interval being compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, wherein, each described probability distribution generates according to the historical time intervals of correspondence in advance respectively.
Wherein in an embodiment, search that module 402 can find out switch spring non-energy storage action event respectively according to the key word preset from described running state data, the first switch intermediate state event, switch close event, switch spring non-energy storage involution event, and record described switch spring non-energy storage action event, triggered time that described first switch intermediate state event, described switch close event, described switch spring non-energy storage involution event; According to the described triggered time, determination module 403 can determine that very first time interval between described switch spring non-energy storage action event and described first switch intermediate state event, described switch spring non-energy storage action event and described switch close that second time interval between event, described first switch intermediate state event and described switch close the 3rd time interval between event, described switch closes event and the 4th time interval of described switch spring non-energy storage involution event; Described very first time interval, described second time interval, described 3rd time interval, described 4th time interval can compare with corresponding probability distribution by processing module 404 respectively, if any one in described very first time interval, described second time interval, described 3rd time interval be not in the normal probability region of correspondence, then determine that switching-on mechanism fault appears in described primary cut-out, if described 4th time interval not in the normal probability region of correspondence, then determines that stored energy mechanism fault appears in described primary cut-out.
Wherein in an embodiment, search module 402 from described running state data, switch control circuit broken string action event, second switch intermediate state event, switch disconnected event, switch control circuit broken string involution event can be found out according to the key word preset respectively, and record the triggered time of described switch control circuit broken string action event, described second switch intermediate state event, described switch disconnected event, described switch control circuit broken string involution event; Determination module 403 can determine the 5th time interval between described switch control circuit broken string action event and described second switch intermediate state event according to the described triggered time, described switch control circuit breaks the 6th time interval between action event and described switch disconnected event, the 7th time interval between described second switch intermediate state event and described switch disconnected event; Described 5th time interval, described 6th time interval, described 7th time interval can compare with corresponding probability distribution by processing module 404 respectively, if any one in described 5th time interval, described 6th time interval, described 7th time interval not in the normal probability region of correspondence, then determines that switching-on mechanism fault appears in described primary cut-out.
Wherein in an embodiment, search circuit breaker lock action event or circuit breaker lock involution event that module 402 can also be used for searching from described running state data according to the key word preset described primary cut-out; Determination module 403 can also be used for described search module searches to described circuit breaker lock action event or described circuit breaker lock involution event time, determine that closing locking fault, reclosing block fault or operating mechanism blocking by low pressure fault appear in described primary cut-out.
Wherein in an embodiment, module is searched when not finding described primary cut-out closing course or disconnect each SOE event of process described in acquisition module 401 can also be used in, or do not find whole SOE events that described procedural type is not corresponding, or current lookup is consistent with the procedural type of each SOE event that the last time finds to the procedural type of each SOE event of described primary cut-out, then obtain the stroke-time curve of the moving contact of the described primary cut-out that default displacement transducer gathers, the triggered time laggard line item of each described SOE event is determined according to described stroke-time curve.
The on-line monitoring system of high-voltage circuit-breaker status of the present invention and the on-line monitoring method one_to_one corresponding of high-voltage circuit-breaker status of the present invention, the technical characteristic of setting forth in the embodiment of the on-line monitoring method of above-mentioned high-voltage circuit-breaker status and beneficial effect thereof are all applicable to, in the embodiment of the on-line monitoring system of high-voltage circuit-breaker status, hereby state.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It 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. an on-line monitoring method for high-voltage circuit-breaker status, is characterized in that, comprises the steps:
Access EMS system or SCADA system, obtain the running state data of primary cut-out from described EMS system or SCADA system;
From described running state data, find out each SOE event of described primary cut-out closing course or the process of disconnection according to the key word preset, and record the triggered time of each described SOE event;
Determine the multiple time intervals corresponding with the procedural type of described primary cut-out according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process;
Respectively each described time interval is compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, wherein, each described probability distribution generates according to the historical time intervals of correspondence in advance respectively.
2. the on-line monitoring method of high-voltage circuit-breaker status according to claim 1, is characterized in that:
The key word that described basis is preset finds out each SOE event of described primary cut-out closing course from described running state data, and the step recording the triggered time of each described SOE event comprises step: the key word according to presetting finds out the non-energy storage action event of switch spring respectively from described running state data, first switch intermediate state event, switch closes event, switch spring non-energy storage involution event, and record the non-energy storage action event of described switch spring, described first switch intermediate state event, described switch closes event, the triggered time of described switch spring non-energy storage involution event,
Describedly determine that the multiple time intervals corresponding with the procedural type of described primary cut-out comprise step according to the described triggered time: determine the very first time interval between described switch spring non-energy storage action event and described first switch intermediate state event according to the described triggered time, described switch spring non-energy storage action event and described switch close second time interval between event, described first switch intermediate state event and described switch close the 3rd time interval between event, described switch closes the 4th time interval of event and described switch spring non-energy storage involution event,
Describedly respectively each described time interval to be compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and determine that the step of the fault type of described primary cut-out comprises step according to described abnormal time interval: respectively by described very first time interval, described second time interval, described 3rd time interval, described 4th time interval compares with corresponding probability distribution, if described very first time interval, described second time interval, any one in described 3rd time interval be not in the normal probability region of correspondence, then determine that switching-on mechanism fault appears in described primary cut-out, if described 4th time interval is not in the normal probability region of correspondence, then determine that stored energy mechanism fault appears in described primary cut-out.
3. the on-line monitoring method of the high-voltage circuit-breaker status according to claims 1 or 2, is characterized in that:
The key word that described basis is preset finds out each SOE event that described primary cut-out disconnects process from described running state data, and the step recording the triggered time of each described SOE event comprises step: find out switch control circuit broken string action event respectively according to the key word preset from described running state data, second switch intermediate state event, switch disconnected event, switch control circuit broken string involution event, and record described switch control circuit broken string action event, described second switch intermediate state event, described switch disconnected event, the triggered time of described switch control circuit broken string involution event,
Describedly determine that the multiple time intervals corresponding with the procedural type of described primary cut-out comprise step according to the described triggered time: determine that break the 5th time interval between action event and described second switch intermediate state event, described switch control circuit of described switch control circuit breaks the 6th time interval between action event and described switch disconnected event, the 7th time interval between described second switch intermediate state event and described switch disconnected event according to the described triggered time;
Describedly respectively each described time interval to be compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and determine that the step of the fault type of described primary cut-out comprises step according to described abnormal time interval: respectively by described 5th time interval, described 6th time interval, described 7th time interval compares with corresponding probability distribution, if described 5th time interval, described 6th time interval, any one in described 7th time interval be not in the normal probability region of correspondence, then determine that switching-on mechanism fault appears in described primary cut-out.
4. the on-line monitoring method of high-voltage circuit-breaker status according to claim 3, is characterized in that, also comprises step:
From described running state data, circuit breaker lock action event or the circuit breaker lock involution event of described primary cut-out is searched according to the key word preset;
If find described circuit breaker lock action event or described circuit breaker lock involution event, then determine that closing locking fault, reclosing block fault or operating mechanism blocking by low pressure fault appear in described primary cut-out.
5. the on-line monitoring method of high-voltage circuit-breaker status according to claim 4, is characterized in that, also comprise step:
When not finding each SOE event of described primary cut-out closing course or the process of disconnection, or when not finding whole SOE event corresponding to described procedural type, or current lookup to each SOE event of described primary cut-out procedural type with on the procedural type of each SOE event that once finds consistent time, obtain the stroke-time curve of the moving contact of the described primary cut-out that default displacement transducer gathers, determine the triggered time laggard line item of each described SOE event according to described stroke-time curve.
6. an on-line monitoring system for high-voltage circuit-breaker status, is characterized in that, comprising:
Acquisition module, for accessing EMS system or SCADA system, obtains the running state data of primary cut-out from described EMS system or SCADA system;
Search module, for finding out each SOE event of described primary cut-out closing course or the process of disconnection from described running state data according to the key word preset, and record the triggered time of each described SOE event;
Determination module, for determining the multiple time intervals corresponding with the procedural type of described primary cut-out according to the described triggered time, wherein, described procedural type comprises described closing course or described disconnection process;
Processing module, for respectively each described time interval being compared with corresponding probability distribution, obtain the abnormal time interval not in the normal probability region of correspondence, and the fault type of described primary cut-out is determined according to described abnormal time interval, wherein, each described probability distribution generates according to the historical time intervals of correspondence in advance respectively.
7. the on-line monitoring system of high-voltage circuit-breaker status according to claim 6, is characterized in that:
Describedly search that module finds out switch spring non-energy storage action event respectively according to the key word preset from described running state data, the first switch intermediate state event, switch close event, switch spring non-energy storage involution event, and record described switch spring non-energy storage action event, triggered time that described first switch intermediate state event, described switch close event, described switch spring non-energy storage involution event;
According to the described triggered time, described determination module determines that very first time interval between described switch spring non-energy storage action event and described first switch intermediate state event, described switch spring non-energy storage action event and described switch close that second time interval between event, described first switch intermediate state event and described switch close the 3rd time interval between event, described switch closes event and the 4th time interval of described switch spring non-energy storage involution event;
Described very first time interval, described second time interval, described 3rd time interval, described 4th time interval compare with corresponding probability distribution by described processing module respectively, if any one in described very first time interval, described second time interval, described 3rd time interval be not in the normal probability region of correspondence, then determine that switching-on mechanism fault appears in described primary cut-out, if described 4th time interval not in the normal probability region of correspondence, then determines that stored energy mechanism fault appears in described primary cut-out.
8. the on-line monitoring system of the high-voltage circuit-breaker status according to claim 6 or 7, is characterized in that:
Described module of searching finds out switch control circuit broken string action event, second switch intermediate state event, switch disconnected event, switch control circuit broken string involution event respectively according to the key word preset from described running state data, and records the triggered time of described switch control circuit broken string action event, described second switch intermediate state event, described switch disconnected event, described switch control circuit broken string involution event;
According to the described triggered time, described determination module determines that the 5th time interval, described switch control circuit between described switch control circuit broken string action event and described second switch intermediate state event break the 6th time interval between action event and described switch disconnected event, the 7th time interval between described second switch intermediate state event and described switch disconnected event;
Described 5th time interval, described 6th time interval, described 7th time interval compare with corresponding probability distribution by described processing module respectively, if any one in described 5th time interval, described 6th time interval, described 7th time interval not in the normal probability region of correspondence, then determines that switching-on mechanism fault appears in described primary cut-out.
9. the on-line monitoring system of high-voltage circuit-breaker status according to claim 8, is characterized in that:
Describedly search module also for searching circuit breaker lock action event or the circuit breaker lock involution event of described primary cut-out according to the key word preset from described running state data;
Described processing module also for described search module searches to described circuit breaker lock action event or described circuit breaker lock involution event time, determine that closing locking fault, reclosing block fault or operating mechanism blocking by low pressure fault appear in described primary cut-out.
10. the on-line monitoring system of high-voltage circuit-breaker status according to claim 9, is characterized in that:
Module is searched when not finding described primary cut-out closing course or disconnect each SOE event of process described in described acquisition module is also used in, or do not find whole SOE events that described procedural type is not corresponding, or current lookup is consistent with the procedural type of each SOE event that the last time finds to the procedural type of each SOE event of described primary cut-out, then obtain the stroke-time curve of the moving contact of the described primary cut-out that default displacement transducer gathers, the triggered time laggard line item of each described SOE event is determined according to described stroke-time curve.
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| CN107884707B (en) * | 2017-09-30 | 2018-12-21 | 杨启蓓 | High-voltage circuit-breaker switching on-off time on-Line Monitor Device and method |
| CN107092772B (en) * | 2017-03-01 | 2019-12-10 | 深圳怡化电脑股份有限公司 | Method and device for determining characteristic curve of sensor |
| CN106959414B (en) * | 2017-03-15 | 2019-11-08 | 广东电网有限责任公司佛山供电局 | The condition detection method and system of switchgear |
| CN107633349A (en) * | 2017-08-28 | 2018-01-26 | 中国西电电气股份有限公司 | Fault impact factor quantitative analysis method based on high-voltage switch gear |
| CN113504465B (en) * | 2021-07-08 | 2023-06-02 | 广东电网有限责任公司 | Method and device for diagnosing faults of high-voltage circuit breaker |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101806861A (en) * | 2010-04-19 | 2010-08-18 | 哈尔滨工业大学 | Method for judging category of failures caused by electrical contact in sealed electromagnetic relay |
| CN101819255A (en) * | 2010-04-16 | 2010-09-01 | 上海申瑞电力科技股份有限公司 | Nonlinear method for computing effective open and close times of breaker |
| EP2383872A2 (en) * | 2010-04-30 | 2011-11-02 | General Electric Company | Fault detection device and method for detecting an electrical fault |
| CN203444081U (en) * | 2013-08-20 | 2014-02-19 | 北京电研华源电力技术有限公司 | Monitoring and control system for permanent magnetic mechanism breaker |
| US20140320138A1 (en) * | 2013-04-29 | 2014-10-30 | Ge Intelligent Platforms, Inc. | Loop powered isolated contact input circuit and method for operating the same |
-
2014
- 2014-11-18 CN CN201410659898.3A patent/CN104316875B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101819255A (en) * | 2010-04-16 | 2010-09-01 | 上海申瑞电力科技股份有限公司 | Nonlinear method for computing effective open and close times of breaker |
| CN101806861A (en) * | 2010-04-19 | 2010-08-18 | 哈尔滨工业大学 | Method for judging category of failures caused by electrical contact in sealed electromagnetic relay |
| EP2383872A2 (en) * | 2010-04-30 | 2011-11-02 | General Electric Company | Fault detection device and method for detecting an electrical fault |
| US20140320138A1 (en) * | 2013-04-29 | 2014-10-30 | Ge Intelligent Platforms, Inc. | Loop powered isolated contact input circuit and method for operating the same |
| CN203444081U (en) * | 2013-08-20 | 2014-02-19 | 北京电研华源电力技术有限公司 | Monitoring and control system for permanent magnetic mechanism breaker |
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