CN104834305A - Distribution network automated terminal telemetering abnormity analyzing system and method based on DMS system - Google Patents
Distribution network automated terminal telemetering abnormity analyzing system and method based on DMS system Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
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Abstract
The invention discloses a distribution network automated terminal telemetering abnormity analyzing system and method based on a DMS system. The distribution network automated terminal telemetering abnormity analyzing system comprises a current abnormity monitoring module and a voltage abnormity monitoring module which are connected with the DMS system and a distribution network production system, respectively. The current abnormity monitoring module compares the real-time telemetering data of the three-phase current of the DMS system with the historical telemetering data thereof and the feed line switch current in the DMS system in order to determine whether distribution network automated terminal telemetering current is abnormal for sending a telemetering abnormity work order to a distribution network production system. The voltage abnormity monitoring module compares the real-time telemetering data of the inter-phase voltage of a power side and the real-time telemetering data of the inter-phase voltage of a load side of the DMS system with respective historical data thereof and limited voltage in order to determine whether distribution network automated terminal telemetering voltage is abnormal for sending a telemetering abnormity work order to the distribution network production system. The distribution network automated terminal telemetering abnormity analyzing system and method are efficient in time and labor, high in efficiency, and capable of automatically monitoring the automated terminal telemetering abnormity.
Description
Technical field
The invention belongs to distribution automation terminal remote measurement anomaly analysis technology, particularly relate to a kind of distribution automation terminal remote measurement exception analysis system based on DMS system, also relate to the analytical approach of this analytic system.
Background technology
Along with distribution network automated development, distribution automation terminal is day by day universal in the application of each regional distribution network.Distribution automation terminal refers to the general name of various feeder terminal units for distribution feeder loop, the equipment such as substation transformer terminal unit and middle pressure monitoring unit (distribution substation).Analyze, whether the distribution automation terminal telemetry intelligence (TELINT) in a statistics region correct, whether measurement data can be used, and judging whether a distribution automation terminal normally runs etc. is all the common statistical item of power department at different levels.
At present, the remote measurement of distribution automation terminal adopts Traditional Man analytical approach to find extremely, but, because the quantity of the distribution automation terminal in each region is more, adopt manual analysis means must bring huge workload.For Foshan, be 13000 at the distribution automation terminal of fortune at present, the telemetry amount of every platform distribution automation terminal is 9, and therefore, the chances are about 120,000 for total telemetry amount.When these data of manual analysis, need to find whether indivedual remote measurement undergos mutation according to the real-time change of these data, whether exceed the abnormal conditions such as limit value, thus initiate abnormality processing shop order, not only operation irregularity is heavy, efficiency is lower, and owing to there is artificial carelessness situation, probably occur the abnormal phenomenon be not found of remote measurement, cause and troubleshooting rectification is not carried out on distribution automation terminal because of timely and affect the running quality of distribution network terminal.
Summary of the invention
First object of the present invention be to provide a kind of time saving and energy saving, efficiency is high, can survey the distribution automation terminal remote measurement exception analysis system based on DMS system of distribution automation terminal remote measurement exception by automatic monitoring.
Second object of the present invention is the analytical approach providing a kind of above-mentioned distribution automation terminal remote measurement exception analysis system based on DMS system.
First object of the present invention is realized by following technical measures: a kind of distribution automation terminal remote measurement exception analysis system based on DMS system, it is characterized in that: it comprises current anomaly monitoring modular and electric voltage exception monitoring modular, described current anomaly monitoring modular and electric voltage exception monitoring modular respectively with DMS system, distribution production system is connected, described current anomaly monitoring modular by the real-time telemetry data of the electric current of DMS system respectively with its history telemetry, in DMS system, feeder switch electric current compares, judge that whether distribution automation terminal remote measurement electric current is abnormal to send the abnormal work order of remote measurement to distribution production system, and the real-time telemetry data of the mains side voltage between phases of DMS system and load side voltage between phases compare with history telemetry, stop voltage by described electric voltage exception monitoring modular respectively, judge that whether distribution automation terminal remote measurement voltage is abnormal to send the abnormal work order of remote measurement to distribution production system.
One aspect of the present invention is compared by the history telemetry of the distribution automation terminal by DMS system storage and real-time telemetry data, judge whether distribution automation terminal remote measurement refreshes change, consider the ruuning situation of distribution line on the other hand, the determination methods having formulated distribution automation terminal remote measurement exception of laminating actual motion environment, there is the distribution automation terminal of remote measurement abnormal problem in location more exactly, and automatically generate the abnormal work order of remote measurement, process for main website personnel.Time saving and energy saving, efficiency is high, can automatic monitoring to survey distribution automation terminal remote measurement abnormal.The present invention will show the situation inventory of distribution network terminal remote measurement exception in system interface to service unit, not only allow business personnel can assess regional machine operation, can also find the distribution network terminal of fault in time, the relevant troubleshooting defect elimination work of tissue, improves the running quality of distribution network terminal equipment and the reliability of electrical network.
The real-time telemetry data of electric current of the present invention and its history telemetry comprise real-time telemetry data and the history telemetry of three-phase current.
The real-time telemetry data of electric current of the present invention also comprise the real-time telemetry data of zero-sequence current, the real-time telemetry data of zero-sequence current and 30A being compared, judging that whether distribution automation terminal remote measurement electric current is abnormal to send the abnormal work order of robotization when being judged to be exception to distribution production system.
Second object of the present invention is realized by following technical measures: a kind of analytical approach of the above-mentioned distribution automation terminal remote measurement exception analysis system based on DMS system, is characterized in that comprising the following steps:
S1, current anomaly monitoring modular and electric voltage exception monitoring modular read real-time telemetry data and the history telemetry of distribution automation terminal, and wherein, the telemetry that current anomaly monitoring modular reads comprises three-phase current value I
a, I
band I
c, the telemetry that electric voltage exception monitoring modular reads is mains side voltage between phases U
abwith load side voltage between phases U
bc;
Wherein, I
arepresent a phase current that distribution automation terminal gathers;
I
brepresent the b phase current that distribution automation terminal gathers;
I
crepresent the c phase current that distribution automation terminal gathers;
U
abrepresent the mains side ab voltage between phases that distribution automation terminal gathers;
U
bcrepresent the load side bc voltage between phases that distribution automation terminal gathers;
S2, current anomaly monitoring modular compares I
a, I
b, I
creal-time telemetry data and its history telemetry:
If a. all unchanged, then judge that this distribution automation terminal exists telemetering of current value not variation abnormality, proceed to step S7;
If b. a wherein phase current change, then judge that this distribution automation terminal does not exist telemetering of current value not variation abnormality, do not process;
S3, current anomaly monitoring modular compares I
a, I
b, I
creal-time telemetry data and DMS system in feeder switch electric current:
If a. wherein the real-time telemetry data of a phase current are greater than 1.2 times of feeder switch electric current in DMS system, then judge that this distribution automation terminal exists electric current and is greater than outlet current anomaly, proceed to step S7;
If b. the real-time telemetry data of three-phase current are all less than or equal to 1.2 times of feeder switch electric current in DMS system, then judge that this distribution automation terminal does not exist electric current and is greater than outlet current anomaly, do not process;
S4, if the real-time telemetry data of a. three-phase current respectively with average current I
avgdifference be all greater than average current I
avg20%, then judge that this distribution automation terminal exists three-phase current unbalance abnormal, proceed to step S7;
If b. wherein the real-time telemetry data of a phase current and average current I
avgdifference be less than or equal to average current I
avg20%, then judge that this distribution automation terminal does not exist three-phase current unbalance abnormal, do not process;
Wherein, average current is I
a, I
b, I
carithmetic mean, i.e. I
avg=(I
a+ I
b+ I
c) ÷ 3.
S5, electric voltage exception monitoring modular compares U
ab, U
bcreal-time telemetry data and U
ab, U
bchistory telemetry:
If a. all unchanged, then judge that this distribution automation terminal exists voltage telemeering value not variation abnormality, proceed to step S7;
If b. wherein side change in voltage, then judge that this distribution automation terminal does not exist voltage telemeering value not variation abnormality, do not process;
S6, if a. is U
aband U
bcone of real-time telemetry data not within the scope of stop voltage, then judge that this distribution automation terminal exists magnitude of voltage abnormal, proceed to step S7;
If b. U
aband U
bcreal-time telemetry data all within the scope of stop voltage, then judge that this distribution automation terminal does not exist magnitude of voltage abnormal, do not process;
S7, sends the abnormal work order of remote measurement to distribution production system.
The present invention, in described step S1, every 15 minutes, reads the real-time telemetry data of a distribution automation terminal; The distribution automation terminal history telemetry of first 6 hours is read every one hour.
The telemetry that current anomaly monitoring modular of the present invention reads also comprises the zero-sequence current I that distribution automation terminal gathers
0if, I
0real-time telemetry data be greater than 30A, then judge this distribution automation terminal " I
0abnormal ", proceed to step S7; If I
0real-time telemetry data be less than or equal to 30A, then judge this distribution automation terminal " I
0without exception ", do not process.
Stop voltage scope of the present invention is for being less than 9.0kV or being greater than 11.0kV.
The present invention, in described step S1, every 15 minutes, reads the real-time telemetry data of a distribution automation terminal; The distribution automation terminal history telemetry of first 6 hours is read every one hour.
The present invention is in described step S1, current anomaly monitoring modular and electric voltage exception monitoring modular are according to distribution automation terminal information list, by three district's databases of distribution automation terminal IP matching addresses access DMS system, to read real-time telemetry data and the history telemetry of distribution automation terminal.
The comprehensive each distribution network terminal remote measurement abnormal conditions of distribution production system of the present invention, the abnormal work order of automatic generation distribution automation terminal remote measurement, and form work order list, the display of distribution production system is shown the situations such as terminal account information, remote measurement Exception Type and the work order issued state involved by every Zhang Gong list, for business personnel, work order is processed.
Compared with prior art, the present invention has following significant effect:
(1) the present invention proposes the distribution network terminal remote measurement anomaly statistics method based on DMS system, on the one hand according to the distribution network terminal remote measurement historical data of DMS system storage and comparing of up-to-date collection telemetry, judge whether distribution network terminal remote measurement refreshes change, consider the ruuning situation of distribution line on the other hand, the determination methods having formulated distribution network terminal remote measurement exception of laminating actual motion environment, there is the distribution network terminal of remote measurement abnormal problem in location more exactly, and automatically generate the abnormal work order of remote measurement, process for main website personnel, time saving and energy saving, efficiency is high, distribution automation terminal remote measurement can be surveyed extremely by automatic monitoring.
(2) the present invention will show the situation inventory of distribution network terminal remote measurement exception in system interface to service unit, not only allow business personnel can assess regional machine operation, can also find the distribution network terminal of fault in time, the relevant troubleshooting defect elimination work of tissue, improves the running quality of distribution network terminal equipment and the reliability of electrical network.
Accompanying drawing explanation
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
Fig. 1 is the composition structural representation of present system;
Fig. 2 is the FB(flow block) of analytical approach of the present invention;
Fig. 3 is the detailed exploded view of the abnormal work order of distribution network terminal remote measurement of the present invention;
Fig. 4 is one of list exploded view of the abnormal work order of distribution network terminal remote measurement of the present invention;
Fig. 5 is the list exploded view two of the abnormal work order of distribution network terminal remote measurement of the present invention.
Embodiment
As shown in Figure 1, a kind of distribution automation terminal remote measurement exception analysis system based on DMS system, it comprises current anomaly monitoring modular and electric voltage exception monitoring modular, current anomaly monitoring modular is connected with DMS system, distribution production system respectively with electric voltage exception monitoring modular, the real-time telemetry data of the three-phase current of DMS system compare with feeder switch electric current in the history telemetry of three-phase current, DMS system by current anomaly monitoring modular respectively, judge that whether distribution automation terminal remote measurement electric current is abnormal to send the abnormal work order of remote measurement to distribution production system; And the real-time telemetry data of the mains side voltage between phases of DMS system and load side voltage between phases compare with history telemetry, stop voltage by electric voltage exception monitoring modular respectively, judge that whether distribution automation terminal remote measurement voltage is abnormal to send the abnormal work order of remote measurement to distribution production system.
The real-time telemetry data of electric current also comprise the real-time telemetry data of zero-sequence current, the real-time telemetry data of zero-sequence current and 30A being compared, judging that whether distribution automation terminal remote measurement electric current is abnormal to send the abnormal work order of robotization when being judged to be exception to distribution production system.
As shown in Figure 2-5, a kind of analytical approach of the above-mentioned distribution automation terminal remote measurement exception analysis system based on DMS system, comprises the following steps:
1) by DMS system history data database data interface, within every 15 minutes, read the telemetry of distribution automation terminal, because every 15 minutes of DMS system can in the remote measurement value of data-base recording once each distribution automation terminal, so the every 15 minutes digital independent that take remote measurement can only be selected, within every 1 hour, read the distribution automation terminal remote measurement historical data of first 6 hours, because system every 15 minutes reading terminals telemetries from DMS system, each hour when carrying out computing, it is in fact compare (as carry out computing in the morning 9 by the remote measurement value of this computing point and the remote measurement value of front 24 collection points that remote measurement value with first 6 hours contrasts, the remote measurement value then 9 gathered and 3 points, 3: 15, 3: 30 ... the remote measurement of 8: 45 totally 24 collection points compares), consider that distribution automation terminal remote measurement requirement of real-time is not high herein, if and the time interval compared is short may produce the abnormal work order problem of more repetition.
Such as: be that 16.16.102.30 takes remote measurement data acquisition to distribution automation terminal IP in DMS system, obtain its nearest telemetry by searching three district's databases be: I
a=30.4A, I
b=29.0A, I
c=27.6A, I
0=0A, U
ab=10.7kV, U
bc=10.7kV, and by three district's databases, this distribution automation terminal remote measurement value of first 6 hours every 15 minutes is obtained:
Wherein: I
afirst 6 hours every values of 15 minutes be: 35.5A, 35.5A, 35.5A, 35.5A, 35.5A, 35.5A, 35.4A, 35.4A, 35.4A, 35.4A, 36.2A, 36.2A, 39.2A, 37.4A, 38.4A, 38.4A, 40.3A, 39.2A, 40.6A, 36.4A, 36.4A, 34.0A, 34.0A, 31.6A;
I
bfirst 6 hours every values of 15 minutes be: 33.6A, 33.6A, 34.8A, 34.8A, 34.8A, 36.2A, 36.2A, 34.8A, 34.8A, 34.8A, 35.1A, 35.1A, 37.6A, 39.0A, 39.0A, 39.9A, 38.7A, 38.7A, 38.7A, 36.8A, 36.8A, 34.0A, 35.5A, 31.6A;
I
cfirst 6 hours every values of 15 minutes be: 33.9A, 36.3A, 35.2A, 36.4A, 35.1A, 35.1A, 37.4A, 37.4A, 35.4A, 36.9A, 36.9A, 36.9A, 38.8A, 38.8A, 38.8A, 37.3A, 36.3A, 36.3A, 36.3A, 36.3A, 34.9A, 34.9A, 34.0A, 27.6A;
U
abfirst 6 hours every values of 15 minutes be: 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV;
U
bcfirst 6 hours every values of 15 minutes be: 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV, 10.7kV;
2) judge whether the three-phase current of distribution automation terminal changes: be the distribution automation terminal of 16.16.102.30 for IP, finally gather the I sent
a=30.4A, I
b=29.0A, I
c=27.6A, with the I of 6 hours before every 15 minutes data points
a, I
b, I
ccompare, known in these 6 hours three-phase current change, there is not telemetering of current value not variation abnormality, proceed to step 8); Otherwise, if a wherein phase current change, then judge that this distribution automation terminal does not exist telemetering of current value not variation abnormality, do not process.
3) judge whether the three-phase current of distribution automation terminal is greater than outlet current anomaly: obtain feeder line belonging to this distribution automation terminal in current DMS system and go out line current value.Such as: be the distribution automation terminal of 16.16.102.30 for IP, this terminal is three water office southwest power supply station river mouth transformer station 710 kapok line main line #1 tower 1T1 isolating switchs, the current value that system obtains current 710 kapok line outlet switch collections is 38.321A, line current value will be gone out and terminal up-to-date collection three-phase current remote measurement value compares, draw I
a, I
b, I
call be less than feeder line and go out line current value, therefore, there is not electric current and be greater than outlet current anomaly in this terminal.
I
a, I
b, I
cfor the remote measurement numerical value that the calculation level of each hour gathers from the terminal that DMS system reads, by I
a, I
b, I
ccompare with transformer station's outlet switch current value of circuit belonging to terminal in DMS system respectively, under normal circumstances, go out line current and be greater than terminal collection electric current, but consider that terminal harvester precision is less than the precision of transformer station's collection, therefore the error range of 20% is set, that is: if wherein the real-time telemetry data of a phase current are greater than 1.2 times of feeder switch electric current in DMS system, then judge that this distribution automation terminal electric current is greater than outlet current anomaly, proceed to step 8); Otherwise, if the real-time telemetry data of three-phase current are all less than or equal to 1.2 times of feeder switch electric current in DMS system, then judge that this distribution automation terminal does not exist electric current and is greater than outlet current anomaly, do not process.
4) the zero-sequence current I that distribution automation terminal gathers is judged
0whether abnormal: the I for IP being the distribution automation terminal of 16.16.102.30, up-to-date collection
0=0A, is less than 30A, there is not I
0abnormal, do not process; Otherwise, if I
0real-time telemetry data be greater than 30A, then judge this distribution automation terminal exist " I
0abnormal ", proceed to step 8).
5) whether three-phase imbalance is abnormal to judge distribution automation terminal three-phase current: the I for IP being the distribution automation terminal of 16.16.102.30, up-to-date collection
a=30.4A, I
b=29.0A, I
c=27.6A, can calculate three-phase current mean value is I
avg=(30.4+29.0+27.6) ÷ 3=29A, through comparing, three-phase electricity flow valuve does not all exceed 20% (namely the real-time telemetry data of three-phase current are all less than or equal to 1.2 times of feeder switch electric current in DMS system) of average current value, therefore there is not three-phase current unbalance abnormal, do not process; Otherwise, if wherein the real-time telemetry data of a phase current are greater than 1.2 times of feeder switch electric current in DMS system, then judge that this distribution automation terminal exists electric current and is greater than outlet current anomaly, proceed to step 8).
6) judge whether distribution automation terminal voltage changes: be the distribution automation terminal of 16.16.102.30 for IP, the voltage telemeering value U of up-to-date collection
ab=10.7kV, U
bc=10.7kV, totally 24 voltage telemeering values were all equal with first 6 hours every 15 minutes data points, were all 10.7kV, therefore judged that this distribution automation terminal exists voltage telemeering value not variation abnormality, proceeded to step 8); Otherwise, if wherein side change in voltage, then judge that this distribution automation terminal does not exist " voltage telemeering value not variation abnormality ", do not process;
7) judge that distribution automation terminal magnitude of voltage is whether abnormal: be the distribution automation terminal of 16.16.102.30 for IP, the voltage telemeering value U of up-to-date collection
ab=10.7kV, U
bc=10.7kV, compares with voltage threshold, and voltage telemeering value is all between 9.0kV and 11.0kV, and therefore this terminal does not exist magnitude of voltage extremely, does not process; Otherwise, if U
aband U
bcone of real-time telemetry data not within the scope of stop voltage, then judge that this distribution automation terminal exists magnitude of voltage abnormal, proceed to step 8).
8) the abnormal judged result of comprehensive distribution network terminal remote measurement, generates the abnormal work order of remote measurement, and is showed in system interface.It is comprehensively the remote measurement anomaly assessment result of the distribution network terminal of 16.16.102.30 to IP, can show that this terminal exists " remote measurement magnitude of voltage not variation abnormality " situation, system will form the abnormal work order of distribution network terminal remote measurement for this problem, the abnormal work order form of remote measurement as shown in Figure 3, system is according to there is abnormal terminal account, list power supply station that this work order will distribute, teams and groups, and carry out reference according to the Novel presentation of abnormal conditions Auto-writing terminal telemetry in work order of terminal for business personnel.On the other hand, at distribution network terminal remote measurement abnormity diagnosis function homepage interface, also the disposition of the abnormal work order of remote measurement will be formed, the terminal account information related in work order, remote measurement abnormal conditions are shown to business personnel with tabular form, and meanwhile, system also provides query function, the abnormal conditions of business personnel to terminal are facilitated to screen, inquire about and add up, as shown in Figure 4,5.
Embodiments of the present invention are not limited thereto; according to foregoing of the present invention; according to ordinary technical knowledge and the customary means of this area; do not departing under the present invention's above-mentioned basic fundamental thought prerequisite; the present invention can also make the amendment of other various ways, replacement or change, all drops within rights protection scope of the present invention.
Claims (9)
1. the distribution automation terminal remote measurement exception analysis system based on DMS system, it is characterized in that: it comprises current anomaly monitoring modular and electric voltage exception monitoring modular, described current anomaly monitoring modular and electric voltage exception monitoring modular respectively with DMS system, distribution production system is connected, described current anomaly monitoring modular by the real-time telemetry data of the electric current of DMS system respectively with its history telemetry, in DMS system, feeder switch electric current compares, judge that whether distribution automation terminal remote measurement electric current is abnormal to send the abnormal work order of remote measurement when being judged to be exception to distribution production system, and the real-time telemetry data of the mains side voltage between phases of DMS system and load side voltage between phases compare with its history telemetry, stop voltage by described electric voltage exception monitoring modular respectively, judge that whether distribution automation terminal remote measurement voltage is abnormal to send the abnormal work order of remote measurement when being judged to be exception to distribution production system.
2. the distribution automation terminal remote measurement exception analysis system based on DMS system according to claim 1, is characterized in that: the real-time telemetry data of described electric current and its history telemetry comprise real-time telemetry data and the history telemetry of three-phase current.
3. the distribution automation terminal remote measurement exception analysis system based on DMS system according to claim 2, it is characterized in that: the real-time telemetry data of described electric current also comprise the real-time telemetry data of zero-sequence current, the real-time telemetry data of zero-sequence current and 30A being compared, judging that whether distribution automation terminal remote measurement electric current is abnormal to send the abnormal work order of robotization when being judged to be exception to distribution production system.
4. described in claim 2 based on an analytical approach for the distribution automation terminal remote measurement exception analysis system of DMS system, it is characterized in that comprising the following steps:
S1, current anomaly monitoring modular and electric voltage exception monitoring modular read real-time telemetry data and the history telemetry of distribution automation terminal, and wherein, the telemetry that current anomaly monitoring modular reads comprises three-phase current value I
a, I
band I
c, the telemetry that electric voltage exception monitoring modular reads is mains side voltage between phases U
abwith load side voltage between phases U
bc;
S2, current anomaly monitoring modular compares I
a, I
b, I
creal-time telemetry data and its history telemetry:
If a. all unchanged, then judge that this distribution automation terminal exists telemetering of current value not variation abnormality, proceed to step S7;
If b. a wherein phase current change, then judge that this distribution automation terminal does not exist telemetering of current value not variation abnormality, do not process;
S3, current anomaly monitoring modular compares I
a, I
b, I
creal-time telemetry data and DMS system in feeder switch electric current:
If a. wherein the real-time telemetry data of a phase current are greater than 1.2 times of feeder switch electric current in DMS system, then judge that this distribution automation terminal exists electric current and is greater than outlet current anomaly, proceed to step S7;
If b. the real-time telemetry data of three-phase current are all less than or equal to 1.2 times of feeder switch electric current in DMS system, then judge that this distribution automation terminal does not exist electric current and is greater than outlet current anomaly, do not process;
S4, if the real-time telemetry data of a. three-phase current respectively with average current I
avgdifference be all greater than average current I
avg20%, then judge that this distribution automation terminal exists three-phase current unbalance abnormal, proceed to step S7;
If b. wherein the real-time telemetry data of a phase current and average current I
avgdifference be less than or equal to average current I
avg20%, then judging that this distribution automation terminal is abnormal as there is not three-phase current unbalance, not processing;
S5, electric voltage exception monitoring modular compares U
ab, U
bcreal-time telemetry data and U
ab, U
bchistory telemetry:
If a. all unchanged, then judge that this distribution automation terminal exists voltage telemeering value not variation abnormality, proceed to step S7;
If b. wherein side change in voltage, then judge that this distribution automation terminal does not exist voltage telemeering value not variation abnormality, do not process;
S6, if a. is U
aband U
bcone of real-time telemetry data not within the scope of stop voltage, then judge that this distribution automation terminal exists magnitude of voltage abnormal, proceed to step S7;
If b. U
aband U
bcreal-time telemetry data all within the scope of stop voltage, then judge that this distribution automation terminal does not exist magnitude of voltage abnormal, do not process;
S7, sends the abnormal work order of remote measurement to distribution production system.
5. analytical approach according to claim 4, is characterized in that: the telemetry that described current anomaly monitoring modular reads also comprises the zero-sequence current I that distribution automation terminal gathers
0if, I
0real-time telemetry data be greater than 30A, then judge this distribution automation terminal exist " I
0abnormal ", proceed to step S7; If I
0real-time telemetry data be less than or equal to 30A, then judge that this distribution automation terminal does not exist " I
0abnormal ", do not process.
6. analytical approach according to claim 5, is characterized in that: described stop voltage scope is for being less than 9.0kV or being greater than 11.0kV.
7. analytical approach according to claim 6, is characterized in that: in described step S1, every 15 minutes, reads the real-time telemetry data of a distribution automation terminal; The distribution automation terminal history telemetry of first 6 hours is read every one hour.
8. analytical approach according to claim 7, it is characterized in that: in described step S1, current anomaly monitoring modular and electric voltage exception monitoring modular are according to distribution automation terminal information list, by three district's databases of distribution automation terminal IP matching addresses access DMS system, to read real-time telemetry data and the history telemetry of distribution automation terminal.
9. analytical approach according to claim 8, it is characterized in that: the comprehensive each distribution automation terminal remote measurement abnormal conditions of distribution production system, the abnormal work order of automatic generation distribution automation terminal remote measurement, and form work order list, the display of distribution production system is shown the situations such as terminal account information, remote measurement Exception Type and the work order issued state involved by every Zhang Gong list, for business personnel, work order is processed.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510174956.8A CN104834305B (en) | 2015-04-13 | 2015-04-13 | Distribution automation terminal remote measurement exception analysis system and method based on DMS systems |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510174956.8A CN104834305B (en) | 2015-04-13 | 2015-04-13 | Distribution automation terminal remote measurement exception analysis system and method based on DMS systems |
Publications (2)
| Publication Number | Publication Date |
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| CN104834305A true CN104834305A (en) | 2015-08-12 |
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| CN106451760A (en) * | 2016-07-06 | 2017-02-22 | 国家电网公司 | Real-time telemetry information monitoring method for 500kV transformer station centralized control system |
| CN110927495A (en) * | 2019-12-06 | 2020-03-27 | 张彩东 | Abnormity monitoring method for electric power metering terminal equipment |
| CN111381156A (en) * | 2020-03-27 | 2020-07-07 | 嘉捷鑫源(北京)科技有限公司 | Distribution room circuit breaker load energy consumption abnormity monitoring method, device, equipment and readable storage medium |
| CN111564906A (en) * | 2020-06-16 | 2020-08-21 | 国网湖北省电力有限公司黄石供电公司 | Method for efficiently processing automation defects of urban network distribution network |
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