CN106877503B - risk identification and early warning method in secondary equipment intelligent operation and maintenance system - Google Patents
risk identification and early warning method in secondary equipment intelligent operation and maintenance system Download PDFInfo
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- CN106877503B CN106877503B CN201710152800.9A CN201710152800A CN106877503B CN 106877503 B CN106877503 B CN 106877503B CN 201710152800 A CN201710152800 A CN 201710152800A CN 106877503 B CN106877503 B CN 106877503B
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- 238000007689 inspection Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims abstract description 10
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- 239000013307 optical fiber Substances 0.000 claims description 3
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- 230000007774 longterm Effects 0.000 claims description 2
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- H02J13/0017—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/22—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions for distribution gear, e.g. bus-bar systems; for switching devices
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/20—Systems supporting electrical power generation, transmission or distribution using protection elements, arrangements or systems
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Abstract
the invention discloses a risk identification and early warning method in an intelligent operation and maintenance system of secondary equipment. The method identifies potential risks of the system from equipment inspection information, protection device alarm information and protection device starting action information of the secondary equipment intelligent operation and maintenance system, provides treatment measure suggestions, gives early warning on sub-health states of devices in the system, brings attention of operation and maintenance personnel, and reminds the operation and maintenance personnel to maintain and repair the protection device, so that the purpose of preventing equipment accidents in advance is achieved. The risks which can be identified by the method comprise starting of a single protection device, starting of disturbance of the protection device, long-time non-starting of the protection device, frequent alarm of the protection device, abnormal differential current of the protection device, unbalanced three-phase voltage of the protection device, unbalanced three-phase current of the protection device, abnormal zero-sequence loop of the protection device and the like.
Description
Technical Field
The invention belongs to the technical field of secondary equipment operation maintenance monitoring, and particularly relates to risk identification and early warning content in an intelligent operation and maintenance system of secondary equipment.
background
with the popularization and application of the unattended operation management mode of the transformer substation, the fact that the real-time operation condition of the secondary equipment which is accurately acquired in power grid scheduling becomes more and more a necessary condition for stable operation of the power grid, whether a scheduling worker can effectively acquire the condition of the secondary equipment at the transformer substation end or not, the real-time operation information of the power grid can be comprehensively and visually known and integrally mastered, the change of the operation state of the power grid can be rapidly found, an adjustment decision can be made in time, and the method is of great importance to safe and stable. Meanwhile, the popularization and application of mass operation and remote operation of the intelligent transformer substation enable the problems and difficulties existing in the management and control means of the original transformer substation and the operation and maintenance management mode of the secondary equipment to be gradually shown, the intelligent operation and maintenance of the secondary equipment are achieved as the secondary equipment is operated, the intelligent operation and maintenance of the secondary equipment in the transformer substation is realized, and the main functions of the intelligent operation and maintenance of the secondary equipment comprise secondary equipment data acquisition and storage, equipment operation condition monitoring, equipment state inspection, equipment ledger, equipment remote maintenance, defect diagnosis, maintenance safety measure guidance, operation state assessment and the like.
the secondary equipment is generally overhauled regularly or overhauled after problems appear in the current secondary equipment intelligent operation and maintenance system, and no related technology for early warning of secondary equipment risks exists, if the equipment inspection information, the protection device warning information, the protection device starting and action information and the protection device fault recording data can be fully utilized, the potential risks of the system can be identified, the effect of early warning of the sub-health state of the secondary equipment in the system can be achieved, the attention of operation and maintenance personnel is brought, the operation and maintenance personnel are reminded to maintain and overhaul the protection device, and the purpose of preventing equipment accidents in advance is achieved. Based on the background, the invention provides a risk identification and early warning method in an intelligent operation and maintenance system of secondary equipment.
Disclosure of Invention
The invention discloses a risk identification and early warning method in an intelligent operation and maintenance system of secondary equipment, aiming at early warning of the sub-health state of the equipment in the intelligent operation and maintenance system of the secondary equipment and achieving the purpose of preventing equipment accidents in advance.
the invention specifically adopts the following technical scheme.
A risk identification and early warning method in an intelligent operation and maintenance system of secondary equipment is characterized in that risk in the intelligent operation and maintenance system of the secondary equipment is identified and early warned by utilizing equipment inspection information, protection device warning information, protection device starting information, protection device action information and protection device fault recording data in the intelligent operation and maintenance system of the secondary equipment.
a risk identification and early warning method in an intelligent operation and maintenance system of secondary equipment is characterized by comprising the following steps:
Step 1: the secondary equipment intelligent operation and maintenance system monitors and collects secondary equipment operation information on line and stores the secondary equipment operation information into a historical database, wherein the secondary equipment operation information comprises protection device alarm information, protection device starting information, protection device action information and protection device fault recording data;
Step 2: the method comprises the steps that starting information of a protection device and action information of the protection device in a set time period are stored, and if only one protection device is started and does not act in the set time period, the fact that the protection device has a starting risk is identified;
and step 3: periodically acquiring the latest starting time of each protection device from a historical database of the secondary equipment intelligent operation and maintenance system, calculating the difference value between the latest starting time and the current time, and identifying that the protection device has a long-term non-starting risk if a certain protection device exceeds a pre-configured time interval threshold;
And 4, step 4: periodically acquiring the starting and non-acting times of each protection device in the period from a historical database of the secondary equipment intelligent operation and maintenance system, calculating the average starting and non-acting times of all protection devices in the same transformer substation, and identifying that the protection device has disturbance starting risk if the starting and non-acting times of a certain protection device in the period are greater than the preset designated multiple of the average starting and non-acting times in the same transformer substation;
And 5: periodically acquiring the alarm times of alarm signals of each protection device in the period from a historical database of the secondary equipment intelligent operation and maintenance system, and identifying that the protection device has frequent alarm risks if the alarm times of a certain protection device in the period are greater than a preset alarm time threshold;
Step 6: periodically polling the protection devices, acquiring the actually measured differential flow of each protection device for the differential protection devices, calculating the multiple S of the differential protection allowable value, calculating the differential flow score of the protection devices in the period, and identifying that the differential flow abnormal risk exists in the protection device if the score is smaller than a set threshold value;
and 7: periodically polling the protection devices, calculating the average value of the three-phase voltage amplitude of each protection device in the period, calculating the unbalance degree of the three-phase voltage amplitude, and identifying that the protection device has the risk of three-phase voltage unbalance when the unbalance degree is greater than a preset voltage unbalance threshold;
and 8: periodically polling the protection devices, acquiring the average value of three-phase current amplitudes of each protection device in the period, calculating the unbalance degree of the three-phase current amplitudes, and identifying that the protection device has the risk of three-phase current unbalance when the unbalance degree is greater than a preset current unbalance threshold;
and step 9: acquiring the three-phase current and the zero-sequence current of each protection device from a fault recording file of the protection device, calculating the difference value between the sum of the three-phase current and the zero-sequence current, and identifying that the protection device has a zero-sequence loop abnormal risk if the difference value is continuously greater than a set zero-sequence threshold value for 25 ms;
step 10: and early warning the risks identified in the steps, sending the risks to an alarm window of the secondary equipment intelligent operation and maintenance system, and displaying the risks on an operator interface of the secondary equipment intelligent operation and maintenance system.
The invention further comprises the following preferred embodiments:
In step 2, the set period of time is 1-5 minutes.
In step 2, the set period of time is 3 minutes.
In step 3, the latest starting time of each protection device is obtained from a historical database of the intelligent operation and maintenance system of the secondary equipment every day, and the difference value between the latest starting time and the current time is calculated;
the time interval threshold is 1 year.
in step 4, the periodicity is monthly, and the preset specified multiple is 3 times of the average starting and non-action times of all protection devices in the same substation.
In step 5, the periodicity is that the preset alarm number threshold is 10 every day.
in step 6, the allowable value multiple S of the differential protection device is calculated as follows:
S＝Icd/k*Ib
wherein Icd is actually measured differential flow, k is an adjustment coefficient, IbIs a reference value;
1, I is taken as a pair of bus differential protection devices kbthe value is 100-200 mA;
0.1, I is taken for k of the line optical fiber differential protection devicebthe value is the maximum phase load current in the process of inspection;
0.1, I is taken for a main transformer differential protection device kbThe value is the maximum phase negative on the high-pressure sideCarrying current;
calculating the protector differential flow score K according to the following formula:
when S is more than or equal to 0 and less than 0.5, K is 15;
When S is more than or equal to 0.5 and less than or equal to 1.0, K is-21S + 25;
When S >1.0, K is 0.
In step 6, the period is one day, the set threshold is 8 minutes,
calculating a differential flow score of the protection device every day in one day, and identifying that the protection device has a differential flow abnormal risk if the score is less than a set threshold value 8.
In step 7, the period is one day, and the voltage unbalance threshold is 5%.
in step 8, the period is one day, and the current imbalance threshold is 10%.
In step 9, the zero sequence threshold is
Wherein the content of the first and second substances,Is a three-phase current vector, and the three-phase current vector,is a zero sequence current vector, Inthe rated current value of the protection device is assigned.
Compared with the prior art, the invention has the following beneficial technical effects:
The equipment inspection information, the protection device alarm information, the protection device starting information, the protection device action information and the protection device fault recording data in the secondary equipment intelligent operation and maintenance system are fully utilized to carry out multi-dimensional deep analysis, potential risks of secondary equipment such as the protection device are identified and an alarm is given, operation and maintenance personnel are reminded to maintain and repair the protection device in time, and the operation level of the system is improved.
drawings
fig. 1 is a schematic diagram of a risk identification and early warning method in an intelligent operation and maintenance system of secondary equipment according to the present invention;
Fig. 2 is a functional block diagram of the secondary device intelligent operation and maintenance system.
Detailed Description
The present invention is described in further detail below with reference to the attached drawings and examples.
The secondary equipment intelligent operation and maintenance system provided by the invention is divided into functional modules as shown in figure 2, and mainly comprises functional modules such as data acquisition and storage, secondary equipment inspection, equipment running state evaluation, failure and action behavior analysis, defect diagnosis management, maintenance safety measure management, risk identification and early warning, alarm monitoring, human-computer interaction interface and the like.
the data acquisition and storage module acquires and stores the operation data of the secondary equipment in real time, wherein the operation data comprises protection device alarm information, protection device starting action information and protection device fault recording data, and the acquired data is used by other functional modules.
the alarm monitoring module is used for carrying out classified display on alarm information in the protection device, and the classification standard comprises the influence degree, the alarm type, the influence range and the like on the secondary equipment.
The human-computer interaction interface is an interaction interface of operation and maintenance personnel and the intelligent operation and maintenance system of the secondary equipment, provides a unified, convenient and visual entry for the operation and maintenance personnel to use each function of the system, and is one of the most common and practical functions of the operation and maintenance personnel.
The secondary equipment inspection module periodically or manually sends an inspection command to the secondary equipment to inspect the running state of the secondary equipment.
The equipment running state evaluation module comprehensively evaluates the state of the secondary equipment from two aspects of an equipment on-line monitoring state and a historical state, and evaluates the current running condition of the equipment according to on-line data of the non-overhaul equipment, such as an alarm, a characteristic value, a running quantity value, a communication state, an automatic test and the like; and the historical operation level evaluation is to evaluate the historical operation level of the equipment according to the historical information of the non-overhaul equipment, such as data of action records, action correctness, defect records and the like. And finally, the comprehensive evaluation of the running state of the secondary non-overhaul equipment is obtained by combining the two aspects of on-line monitoring state evaluation and historical running level.
and the fault and action analysis module further analyzes the fault phase, the trip phase, the fault distance measurement, whether reclosing is performed, the execution time of a switch trip command, whether the action of the protection device is normal and the like according to the protection fixed value, the pressing plate, the wave recording file and other data acquired when the power grid fault occurs.
and the defect diagnosis management module carries out real-time defect diagnosis, historical defect statistical management and the like on the protection device according to the collected alarm information and communication information of the protection device.
the maintenance safety measure management module provides a set of maintenance safety measure knowledge base for the secondary equipment in the system, and provides maintenance management of maintenance suggestions, safety measure suggestions and cautionary matters for each piece of secondary equipment.
the risk identification and early warning module identifies potential risks of the system by using collected equipment inspection information, protection device warning information, protection device starting and action information and protection device fault recording data, gives early warning on the sub-health state of secondary equipment in the system, gives treatment advice, brings attention to operation and maintenance personnel, and reminds the operation and maintenance personnel to maintain and repair the protection device.
embodiments of the present invention are described in further detail below. As shown in fig. 1, the risk identification and early warning method in the secondary device intelligent operation and maintenance system disclosed by the application comprises the following steps:
step 1: the secondary equipment intelligent operation and maintenance system monitors and collects secondary equipment operation information on line and stores the secondary equipment operation information into a historical database, wherein the secondary equipment operation information comprises protection device alarm information, protection device starting information, protection device action information, protection device fault recording files and the like;
Step 2: the method comprises the steps that starting information of a protection device and action information of the protection device in a continuous set time period are stored, if only one protection device is started and does not act in the set time period, the starting risk of a single protection device is identified, an operator is reminded that the starting is probably started by mistake, and the state of the protection device is suggested to be checked;
wherein the set time period is 1-5 minutes, and the embodiment of the application is preferably 3 minutes.
and step 3: the method comprises the steps of obtaining the latest starting time of each protection device from a historical database of the secondary equipment intelligent operation and maintenance system every day, calculating the difference value between the latest starting time and the current time, and identifying the long-time non-starting risk of the protection device if the latest starting time exceeds a preset time interval threshold value, wherein the preferred time interval threshold value is 1 year, and reminding an operator that the protection device is possibly repaired year after year.
and 4, step 4: the method comprises the steps of obtaining the number of times of starting and non-acting of each protection device in a month from a historical database of an intelligent operation and maintenance system of the secondary equipment every month, calculating the average number of times of starting and non-acting of the protection devices in the same transformer substation, wherein the average number of times of starting is equal to the sum of starting and non-acting of all the protection devices in the transformer substation divided by the number of the protection devices in the transformer substation, and if the number of times of starting and non-acting of a certain protection device is larger than a preset designated multiple of the average number of times of starting and non-acting of the same transformer substation, identifying the. The preset established times are 2-5 times of the average starting and non-action times in the same substation in the same period, and the preferred value of the embodiment is 3 times.
and 5: and acquiring the alarm times of alarm signals of each protection device in the day from a historical database of the secondary equipment intelligent operation and maintenance system every day, and identifying the frequent alarm risk of the protection device if the times are greater than a preset alarm time threshold. Wherein, the alarm time threshold value can be set to 5-15, and the application is preferably configured to 10.
step 6: the protection device is patrolled every day, and the differential flow score of the protection device in the day is calculated according to the following steps:
Calculating an allowable value multiple S of the differential protection device:
S＝Icd/k*Ib
wherein Icd is an actually measured differential flow, k is an adjustment coefficient, and Ib is a reference value.
1 is taken for a bus differential protection device k, and the recommended value of Ib is 100-200 mA;
0.1 is taken for the line optical fiber differential protection device k, and the recommended value of Ib is the maximum phase load current during routing inspection;
Taking 0.1 for a main transformer differential protection device k, and taking an Ib recommended value as a maximum phase load current of a high-voltage side (converting to a reference value and calculating as a high-voltage side rated current Ie);
Calculating a difference stream data score K according to the following formula:
When S is more than or equal to 0 and less than 0.5, K is 15;
When S is more than or equal to 0.5 and less than or equal to 1.0, K is-21S + 25;
when S >1.0, K is 0.
and if the difference flow data score K is smaller than a set threshold (the embodiment of the application is configured to be 8 points), identifying the abnormal risk of the difference flow of the protection device.
and 7: the protection device is patrolled every day, and the three-phase voltage unbalance degree in the day is calculated according to the following steps:
Calculating the average value of three-phase voltage amplitude values of each protection device in the day:
i is the number of acquisitions, UaiCalculating the amplitude of the phase voltage A for the ith acquisition, wherein n is the total acquisition times in a day, and calculating U by the same methodb、Uc。
Calculating the unbalance degree of the three-phase voltage:
Three-phase voltage unbalance (max (U)a,Ub,Uc)-avg(Ua,Ib,Ic))/avg(Ua,Ub,Uc) Max represents taking the maximum value, and avg represents taking the average value.
When the three-phase voltage unbalance is greater than a set voltage unbalance threshold (preferably 5% in the present application), the risk of the three-phase voltage unbalance of the protection device is identified.
and 8: the protection device is patrolled every day, and the unbalance degree of the three-phase current in the day is calculated according to the following steps:
Calculating the average value of the three-phase current amplitude values of each protection device in the day:
i is the number of acquisitions, Iaicalculating the amplitude of the phase A current for the ith acquisition, wherein n is the total acquisition times in one day, and calculating I by the same methodb、Ic。
Calculating the unbalance degree of the three-phase current:
three-phase current unbalance (max (I)a,Ib,Ic)-avg(Ia,Ib,Ic))/avg(Ia,Ib,Ic) Max represents taking the maximum value, and avg represents taking the average value.
When the three-phase current imbalance degree is larger than a preset current imbalance threshold value (preferably 10% in the application), the risk of the three-phase current imbalance of the protection device is identified.
and step 9: after fault recording data of the protection device are received, obtaining the fault recording data from the recording fileif 25ms continues, the following condition is satisfied:
Identifying the risk of abnormality of the zero sequence loop of the protection device, whereinIs the three-phase current vector of the protection device,is a zero sequence current vector, InThe rated current of the equipment to which the protection device belongs. Wherein the content of the first and second substances, Is a zero sequence threshold value.
And obtaining three-phase current from the wave recording file to calculate a zero sequence current, comparing the zero sequence current with the collected zero sequence current, and identifying the abnormal risk of the zero sequence circuit of the protection device if the difference between the three-phase current and the collected zero sequence current is greater than a zero sequence threshold value in 25 ms.
Step 10: and (4) risk warning and displaying:
after identifying different types of risks, the above steps have two main display modes:
The method includes the steps that firstly, the operation and maintenance system is displayed in an alarm window of the secondary equipment intelligent operation and maintenance system, and displayed contents include time when risks are identified, types of the risks, protection devices and transformer substations to which the risks belong, risk summary and the like.
Secondly, on an operator monitoring interface of the secondary equipment intelligent operation and maintenance system, newly identified risk numbers (similar to unread short message bars) are displayed on a homepage in the form of small icons and numbers, the interface is displayed in detail after the small icons are clicked, all identified risks are displayed in a form of table list, different types of risk display modes and different color fonts can be freely configured, and if certain risk is concerned, the detailed information of the risk can be expanded by double clicking the record in the table.
While the best mode for carrying out the invention has been described in detail and illustrated in the accompanying drawings, it is to be understood that the same is by way of illustration and example only and is not to be taken by way of limitation, the scope of the invention should be determined by the appended claims and any changes or modifications which fall within the true spirit and scope of the invention should be construed as broadly described herein.
Claims (10)
1. a risk identification and early warning method in an intelligent operation and maintenance system of secondary equipment is characterized by comprising the following steps:
Step 1: the secondary equipment intelligent operation and maintenance system monitors and collects secondary equipment operation information on line and stores the secondary equipment operation information into a historical database, wherein the secondary equipment operation information comprises protection device alarm information, protection device starting information, protection device action information and protection device fault recording data;
step 2: the method comprises the steps that starting information of a protection device and action information of the protection device in a set time period are stored, and if only one protection device is started and does not act in the set time period, the fact that the protection device has a starting risk is identified;
And step 3: periodically acquiring the latest starting time of each protection device from a historical database of the secondary equipment intelligent operation and maintenance system, calculating the difference value between the latest starting time and the current time, and identifying that the protection device has a long-term non-starting risk if a certain protection device exceeds a pre-configured time interval threshold;
and 4, step 4: periodically acquiring the starting and non-acting times of each protection device in the period from a historical database of the secondary equipment intelligent operation and maintenance system, calculating the average starting and non-acting times of all protection devices in the same transformer substation, and identifying that the protection device has disturbance starting risk if the starting and non-acting times of a certain protection device in the period are greater than the preset designated multiple of the average starting and non-acting times in the same transformer substation;
And 5: periodically acquiring the alarm times of alarm signals of each protection device in the period from a historical database of the secondary equipment intelligent operation and maintenance system, and identifying that the protection device has frequent alarm risks if the alarm times of a certain protection device in the period are greater than a preset alarm time threshold;
Step 6: periodically polling the protection devices, acquiring the actually measured differential flow of each protection device for the differential protection devices, calculating the multiple S of the differential protection allowable value, calculating the differential flow score of the protection devices in the period, and identifying that the differential flow abnormal risk exists in the protection device if the score is smaller than a set threshold value;
and 7: periodically polling the protection devices, calculating the average value of three-phase voltage amplitudes of each protection device in the period, calculating the unbalance degree of the three-phase voltage amplitudes, and identifying that the protection device has the risk of three-phase voltage unbalance when the unbalance degree is greater than a preset voltage unbalance threshold;
And 8: periodically polling the protection devices, acquiring the average value of three-phase current amplitudes of each protection device in the period, calculating the unbalance degree of the three-phase current amplitudes, and identifying that the protection device has the risk of three-phase current unbalance when the unbalance degree is greater than a preset current unbalance threshold;
And step 9: acquiring the three-phase current and the zero-sequence current of each protection device from a fault recording file of the protection device, calculating the difference value between the sum of the three-phase current and the zero-sequence current, and identifying that the protection device has a zero-sequence loop abnormal risk if the difference value is continuously greater than a set zero-sequence threshold value for 25 ms;
the zero sequence threshold value is
Wherein the content of the first and second substances,is a three-phase current vector, and the three-phase current vector,Is a zero sequence current vector, Inthe rated current value of the protection device is the rated current value;
Step 10: and early warning the risks identified in the steps, sending the risks to an alarm window of the secondary equipment intelligent operation and maintenance system, and displaying the risks on an operator interface of the secondary equipment intelligent operation and maintenance system.
2. the risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 1, characterized in that:
In step 2, the set period of time is 1-5 minutes.
3. The risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 2, characterized in that:
in step 2, the set period of time is 3 minutes.
4. The risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 1, characterized in that:
in step 3, the latest starting time of each protection device is obtained from a historical database of the intelligent operation and maintenance system of the secondary equipment every day, and the difference value between the latest starting time and the current time is calculated;
The time interval threshold is 1 year.
5. the risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 1, characterized in that:
In step 4, the periodicity is monthly, and the preset specified multiple is 3 times of the average starting and non-action times of all protection devices in the same substation.
6. The risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 1, characterized in that:
In step 5, the periodicity is that the preset alarm number threshold is 10 every day.
7. The risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 1, characterized in that:
In step 6, the allowable value multiple S of the differential protection device is calculated as follows:
S＝Icd/k*Ib
wherein Icd is actually measured differential flow, k is an adjustment coefficient, Ibis a reference value;
1, I is taken as a pair of bus differential protection devices kbthe value is 100-200 mA;
0.1, I is taken for k of the line optical fiber differential protection devicebThe value is the maximum phase load current in the process of inspection;
0.1, I is taken for a main transformer differential protection device kbtaking the value as the maximum phase load current of the high-voltage side;
calculating the protector differential flow score K according to the following formula:
when S is more than or equal to 0 and less than 0.5, K is 15;
when S is more than or equal to 0.5 and less than or equal to 1.0, K is-21S + 25;
when S >1.0, K is 0.
8. the risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 7, characterized in that:
in step 6, the period is one day, the set threshold is 8 minutes,
Calculating a differential flow score of the protection device every day in one day, and identifying that the protection device has a differential flow abnormal risk if the score is less than a set threshold value 8.
9. The risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 1, characterized in that:
In step 7, the period is one day, and the voltage unbalance threshold is 5%.
10. The risk identification and early warning method in the secondary equipment intelligent operation and maintenance system according to claim 1, characterized in that:
In step 8, the period is one day, and the current imbalance threshold is 10%.
Priority Applications (1)
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| CN201710152800.9A CN106877503B (en) | 2017-03-15 | 2017-03-15 | risk identification and early warning method in secondary equipment intelligent operation and maintenance system |
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| CN201710152800.9A CN106877503B (en) | 2017-03-15 | 2017-03-15 | risk identification and early warning method in secondary equipment intelligent operation and maintenance system |
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| CN106877503A CN106877503A (en) | 2017-06-20 |
| CN106877503B true CN106877503B (en) | 2019-12-10 |
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