CN109470984B - Power protection distribution network fault studying and judging system with electronic sand table and studying and judging method thereof - Google Patents
Power protection distribution network fault studying and judging system with electronic sand table and studying and judging method thereof Download PDFInfo
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- CN109470984B CN109470984B CN201810318243.8A CN201810318243A CN109470984B CN 109470984 B CN109470984 B CN 109470984B CN 201810318243 A CN201810318243 A CN 201810318243A CN 109470984 B CN109470984 B CN 109470984B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
Abstract
The invention relates to a system for studying and judging faults of a power-preserving distribution network with an electronic sand table, which solves the defects of the prior art and comprises a plurality of power measuring devices, a power detecting device and a power value transmitting unit, wherein the power measuring devices are arranged at the input end and the output end of each distribution equipment in the distribution network; the wireless communication device and the sound collector are connected with the microprocessor through wired communication, and the display device and the memory are electrically connected with the microprocessor; the sand table is characterized by further comprising an electronic sand table, wherein the electronic sand table comprises a sand table display screen and a sand table data console, the output end of the sand table data console is connected with the sand table display screen, and the input end of the sand table data console is connected with the microprocessor.
Description
Technical Field
The invention relates to the technical field of power system maintenance, in particular to a system and a method for studying and judging faults of a power protection distribution network with an electronic sand table.
Background
In the task of maintaining and supplying power for important users, besides strengthening line inspection and equipment maintenance, finding out adverse factors of the working condition of equipment in time and reducing the occurrence of faults, the method also needs to quickly judge the fault equipment and the fault type after the occurrence of the faults so as to arrange treatment and maintenance aiming at the fault equipment and the fault type. However, the current power protection and supply system lacks a fault diagnosis system and method, and the fault diagnosis can be determined only by the experience of a technician or the on-site inspection of a dispatcher. When specific fault equipment is uncertain, time and labor are wasted for checking and removing, and the efficiency is very low. Therefore, a method and a system for rapidly studying and judging the fault of the power distribution network need to be developed.
Chinese patent No. CN 106026388A, published 2016, 10, 12, a transformer substation fault information automatic issuing and processing system, which comprises a transformer substation module, a dispatching data network, a command department module, a fault information issuing management module and a user MIS network module, wherein the transformer substation module is connected with the command department module and the fault information issuing management module through the dispatching data network, and the fault information issuing management module is connected with the user MIS network module, and is characterized in that: the transformer substation module includes a plurality of transformer substations, the transformer substation includes switch, oscillograph, inductor, travelling wave range unit, oscillograph, inductor and travelling wave range unit all pass through the switch with the dispatch data network is connected. The invention is convenient for fault information to automatically issue, receive and read information, can determine the fault location and fault reason in time, is matched with the processing system to effectively and timely process, is convenient for quick recovery and ensures the safe operation of the transformer substation, has better safety performance, and meets the actual use requirement. But the failure equipment and the failure type can not be automatically judged, and the failure equipment and the failure type need to be manually determined and then uploaded, so that the efficiency is not high.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the current power protection and supply system lacks a fault studying and judging system and method, and has the problem of low fault studying and judging efficiency. The utility model provides a method and a system for studying and judging the faults of a power protection distribution network, which collect the fault sign information, automatically monitor and match the fault signs.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows: a system for studying and judging faults of a power protection and distribution network with an electronic sand table comprises a plurality of power measuring devices, a wireless communication device, a sound collector, a display device, a memory and a microprocessor, and is characterized in that,
the power measuring devices are installed at the input end and the output end of each power distribution equipment in the power distribution network, each power measuring device comprises a power detecting unit and a power value sending unit, the power measuring devices are all provided with identification IDs, and the power value sending units are connected with the wireless communication devices through wireless communication;
the sound collector collects the working noise of the power protection equipment, the wireless communication device and the sound collector are connected with the microprocessor through wired communication, and the display device and the memory are electrically connected with the microprocessor
The sand table is characterized by further comprising an electronic sand table, wherein the electronic sand table comprises a sand table display screen and a sand table data console, the output end of the sand table data console is connected with the sand table display screen, and the input end of the sand table data console is connected with the microprocessor.
Can detect the power consumption value of equipment through input and output power measuring device, the noise at work of sound collection equipment, when equipment is about to break down, often along with the change of power consumption value and the change of noise at work, and the change law is because of equipment and trouble lures the reason different, therefore can match fault equipment and fault type and lures the reason through the change of power consumption value and noise at work, the electron sand table is as auxiliary technology, can provide sufficient global command ability, combine with the system of studying and judging, the accurate command that many intelligent judgments can't reach has been realized.
Preferably, a three-dimensional image of power distribution equipment in a power grid is stored in the sand table data console, and the three-dimensional image is obtained by scanning of a ground three-dimensional laser scanner. The technology is fully applied to the Huiquan transformer substation, and the detailed description is omitted in the scheme.
Preferably, when the sand table display range is selected by the sand table data console, the three-dimensional image of the power distribution equipment with the volume larger than the volume set value is transmitted to the sand table display screen for display by the sand table data console, and the volume set value is in direct proportion to the sand table display range.
Preferably, the power value transmitting unit and the wireless communication device each include a Zigbee module, and the power value transmitting unit transmits the measured power data and the identification ID through Zigbee at a period Δ t. The Zigbee is a low-power-consumption high-efficiency distance-entering wireless communication mode, and the practical Zigbee can enable a wireless connection network to be simply and quickly arranged and a wireless module to be long in service time.
Preferably, the power value transmitting unit and the wireless communication device each include a bluetooth module, and the power value transmitting unit transmits the measured power data and the identification ID through the bluetooth module at a cycle Δ t. Bluetooth is a mature wireless communication method, and building a wireless communication network by using bluetooth will speed up the building of the wireless communication network and have high stability.
A method for studying and judging faults of a power protection and distribution network is suitable for a system with an electronic sand table for studying and judging faults of the power protection and distribution network, and comprises the following steps: A) b, counting the models of the power distribution equipment in the power distribution network, and performing step B for each model of equipment; B) regard as test equipment with the model equipment, insert experimental power and connect experimental power consumption unit, insert power measuring device at distribution equipment input and output, artificially make test equipment's trouble incentive according to the equipment model to gather under the trouble incentive effect, in order to set for the frequency record: in the process from normal work to the fault symptom before the fault occurs, the corresponding relation between the input power and the output power at the same time is established, a symptom corresponding table of the output power to the input power is established, and the corresponding symptom sound characteristics are recorded; C) during the power conservation task, monitoring and recording the input end power, the output end power and the working noise of the power distribution equipment; D) when the power distribution network fails, comparing output end power of all power distribution equipment obtained by monitoring in a T period before the failure with predicted output power obtained by calculation through a symptom corresponding table, if a difference value obtained by calculation of certain power distribution equipment is lower than a set symptom threshold value, judging that the power distribution equipment fails, and displaying failure inducement; E) and D, if the fault studying and judging result is not obtained in the step D, comparing the working noise of all the power distribution equipment monitored in the time period T before the fault with the symptom sound characteristic, if the difference is lower than the set symptom sound threshold, judging that the power distribution equipment has the fault, and displaying a fault cause. The fault inducers are artificially manufactured, and the rules of power loss and working noise in the process from normal work to fault occurrence are recorded under the fault inducers, so that the fault inducers are used for data matching and fault research and judgment during the power conservation task.
Preferably, the method for artificially manufacturing the fault cause of the test equipment according to the equipment model comprises the following steps: when the distribution equipment is a transformer, the fault inducement factors of the artificial manufacturing test equipment comprise insufficient transformer oil, water inflow of the transformer oil, unsmooth circulation of the transformer oil and the temperature of the transformer oil higher than 60 ℃. Insufficient transformer oil, water inflow, unsmooth circulation and temperature rise are common causes of transformer faults.
Preferably, the method for artificially manufacturing the fault cause of the test equipment according to the equipment model comprises the following steps: when the distribution equipment is a transformer, the fault inducement of the artificial manufacturing test equipment comprises damage to partial winding insulation, turn-to-turn insulation, silicon steel sheet insulation and insulator moisture. Damage to the insulation layer, if not discovered in a timely manner, can cause a fire or even an explosion in the equipment.
Preferably, the calculation formula of the difference between the output power and the predicted output power obtained by the symptom correspondence table is:
wherein woTo measure the resulting output power, wiTo measure the resulting input power, phi (w)i) Is the query value obtained according to the symptom correspondence table.
The set symptom threshold value is 1.1-1.5, the recommended value is 1.3, and increasing the symptom threshold value enables the fault to be early warned, but increases the probability of false early warning.
Preferably, in the step B), a plurality of devices of the same model are used as test devices, a test power supply is connected to the test power consumption unit, a power measuring device is connected to the input end and the output end of the power distribution device, a fault cause of the test devices is artificially manufactured according to the device model, and the fault cause is collected under the action of the fault cause and recorded at a set frequency: in the process from normal work to the fault symptom before the fault occurs, corresponding relations between input power and output power at the same time are established by each device, a candidate symptom corresponding table of the output power to the input power is established by each device, and a candidate symptom corresponding table with the highest repetition rate and the symptom sound features recorded at the same time are selected as the symptom corresponding table and the symptom sound features recorded at the same time.
The substantial effects of the invention are as follows: the method can quickly and accurately judge specific fault equipment, point out fault types and fault causes, and improve the fault research and judgment efficiency.
Drawings
Fig. 1 is a structural diagram of a fault research and judgment system of a power protection and distribution network.
Detailed Description
The following provides a more detailed description of the present invention, with reference to the accompanying drawings.
As shown in fig. 1, a system structure diagram for studying and judging faults of a power distribution network includes a plurality of power measuring devices, a wireless communication device, a sound collector, a display device, a memory and a microprocessor, wherein the plurality of power measuring devices are installed at input ends and output ends of each power distribution equipment in the power distribution network, each power measuring device includes a power detecting unit and a power value transmitting unit, each power measuring device is assigned with an identification ID, and the power value transmitting unit is connected with the wireless communication device through wireless communication; the sound collector collects the working noise of the power protection equipment, the wireless communication device and the sound collector are connected with the microprocessor through wired communication, and the display device and the memory are electrically connected with the microprocessor.
The power loss value of the equipment can be detected through the input end and output end power measuring devices, the working noise of the equipment is collected by the sound collection equipment, when the equipment is about to break down, the change of the power loss value and the change of the working noise are always accompanied, the change rule is different due to the equipment and fault inducement, and therefore the fault equipment, the fault type and the inducement can be matched through the change of the power loss value and the working noise.
The sand table is characterized by further comprising an electronic sand table, wherein the electronic sand table comprises a sand table display screen and a sand table data console, the output end of the sand table data console is connected with the sand table display screen, and the input end of the sand table data console is connected with the microprocessor.
The sand table data console stores three-dimensional images of power distribution equipment in a power grid, and the three-dimensional images are obtained by scanning of a ground three-dimensional laser scanner.
When the sand table display range is selected by the sand table data control console, the three-dimensional image of the power distribution equipment with the volume larger than the volume set value is transmitted to the sand table display screen to be displayed by the sand table data control console, and the volume set value is in direct proportion to the sand table display range.
As a preferred embodiment, the power value transmitting unit and the wireless communication device each include a Zigbee module, and the power value transmitting unit transmits the measured power data and the identification ID through Zigbee at a period Δ t. The Zigbee is a low-power-consumption high-efficiency distance-entering wireless communication mode, and the practical Zigbee can enable a wireless connection network to be simply and quickly arranged and a wireless module to be long in service time.
As a preferred embodiment, the power value transmitting unit and the wireless communication apparatus each include a bluetooth module, and the power value transmitting unit transmits the measured power data and the identification ID through the bluetooth module at a cycle Δ t.
The process block diagram of the method for studying and judging the faults of the power protection and distribution network comprises the following steps: A) b, counting the models of the power distribution equipment in the power distribution network, and performing step B for each model of equipment;
B) regard as test equipment with the model equipment, insert experimental power and connect experimental power consumption unit, insert power measuring device at distribution equipment input and output, artificially make test equipment's trouble incentive according to the equipment model to gather under the trouble incentive effect, in order to set for the frequency record: in the process from normal work to the fault symptom before the fault occurs, the corresponding relation between the input power and the output power at the same time is established, a symptom corresponding table of the output power to the input power is established, and the corresponding symptom sound characteristics are recorded;
C) during the power conservation task, monitoring and recording the input end power, the output end power and the working noise of the power distribution equipment;
D) when the power distribution network fails, comparing output end power of all power distribution equipment obtained by monitoring in a T period before the failure with predicted output power obtained by calculation through a symptom corresponding table, if a difference value obtained by calculation of certain power distribution equipment is lower than a set symptom threshold value, judging that the power distribution equipment fails, and displaying failure inducement;
E) and D, if the fault studying and judging result is not obtained in the step D, comparing the working noise of all the power distribution equipment monitored in the time period T before the fault with the symptom sound characteristic, if the difference is lower than the set symptom sound threshold, judging that the power distribution equipment has the fault, and displaying a fault cause.
The fault inducers are artificially manufactured, and the rules of power loss and working noise in the process from normal work to fault occurrence are recorded under the fault inducers, so that the fault inducers are used for data matching and fault research and judgment during the power conservation task.
As a preferred embodiment, the method of artificially manufacturing the fault cause of the test device according to the device model is: when the distribution equipment is a transformer, the fault inducement factors of the artificial manufacturing test equipment comprise insufficient transformer oil, water inflow of the transformer oil, unsmooth transformer oil circulation and transformer oil temperature higher than 60 ℃.
As a preferred embodiment, the method of artificially manufacturing the fault cause of the test device according to the device model is: when the distribution equipment is a transformer, the fault inducement of the artificial manufacturing test equipment comprises the damage of partial winding insulation, turn-to-turn insulation, silicon steel sheet insulation and insulator moisture.
As a preferred embodiment, the calculation formula of the difference between the output power and the predicted output power obtained by the symptom correspondence table is:
wherein woTo measure the resulting output power, wiTo measure the resulting input power, phi (w)i) Is the query value obtained according to the symptom correspondence table.
The set symptom threshold value is 1.1-1.5, the recommended value is 1.3, and increasing the symptom threshold value enables the fault to be early warned, but increases the probability of false early warning.
Example 2:
the present embodiment is substantially the same as embodiment 1, except that, in step B), a plurality of devices of the same type are used as test devices, a test power supply is connected to the test power consumption unit, a power measurement device is connected to the input end and the output end of the distribution device, a fault cause of the test device is artificially manufactured according to the device type, and the fault cause is collected under the action of the fault cause and recorded at a set frequency: in the process from normal work to the fault symptom before the fault occurs, corresponding relations between input power and output power at the same time are established by each device, a candidate symptom corresponding table of the output power to the input power is established by each device, and a candidate symptom corresponding table with the highest repetition rate and the symptom sound features recorded at the same time are selected as the symptom corresponding table and the symptom sound features recorded at the same time.
The above-described embodiments are only preferred embodiments of the present invention, and are not intended to limit the present invention in any way, and other variations and modifications may be made without departing from the spirit of the invention as set forth in the claims.
Claims (9)
1. A system for studying and judging faults of a power protection and distribution network with an electronic sand table comprises a plurality of power measuring devices, a wireless communication device, a sound collector, a display device, a memory and a microprocessor, and is characterized in that,
the power measuring devices are installed at the input end and the output end of each power distribution equipment in the power distribution network, each power measuring device comprises a power detecting unit and a power value sending unit, the power measuring devices are all allocated with identification IDs, and the power value sending units are connected with the wireless communication devices through wireless communication;
the wireless communication device and the sound collector are connected with the microprocessor through wired communication, and the display device and the memory are electrically connected with the microprocessor;
the sand table comprises a sand table display screen and a sand table data console, wherein the output end of the sand table data console is connected with the sand table display screen, and the input end of the sand table data console is connected with the microprocessor;
the judging system executes the following steps:
A) b, counting the models of the power distribution equipment in the power distribution network, and performing step B for each model of equipment;
B) regard as test equipment with the model equipment, insert experimental power and connect experimental power consumption unit, insert power measuring device at distribution equipment input and output, artificially make test equipment's trouble incentive according to the equipment model to gather under the trouble incentive effect, in order to set for the frequency record: in the process from normal work to the fault symptom before the fault occurs, the corresponding relation between the input power and the output power at the same time is established, a symptom corresponding table of the output power to the input power is established, and the corresponding symptom sound characteristics are recorded;
C) during the power protection task, measuring and recording the input end power, the output end power and the working noise of the power distribution equipment;
D) when the power distribution network fails, comparing output end power of all power distribution equipment obtained by measurement in a time period T before the failure with predicted output power obtained by calculation through a symptom corresponding table, if a difference value obtained by calculation of certain power distribution equipment is lower than a set symptom threshold value, judging that the power distribution equipment fails, and displaying failure inducement;
E) if the fault studying and judging result is not obtained in the step D, comparing the working noise of all the power distribution equipment obtained by measurement in the time period T before the fault with the symptom sound characteristic, if the difference value is lower than a set symptom sound threshold value, judging that the power distribution equipment has the fault, and displaying a fault cause;
the calculation formula of the difference value between the output power and the predicted output power obtained through the symptom corresponding table is as follows:
2. The system for studying and judging faults of a power protection and distribution network with an electronic sand table as claimed in claim 1, wherein a three-dimensional image of power distribution equipment in the power grid is stored in the sand table data console, and the three-dimensional image is scanned and obtained by a ground three-dimensional laser scanner.
3. The system for studying and judging faults of a power protection and distribution network with an electronic sand table as claimed in claim 2, wherein when the sand table display range is selected by the sand table data console, the sand table data console transmits a three-dimensional image of the power distribution equipment with the volume larger than a volume set value to the sand table display screen for displaying, wherein the volume set value is in direct proportion to the sand table display range.
4. The system for studying and judging faults of a power protection and distribution network with an electronic sand table as claimed in claim 1,
the power value sending unit and the wireless communication device both comprise Zigbee modules, and the power value sending unit sends the measured power data and the identification ID through Zigbee at a period delta t;
the power value transmitting unit and the wireless communication device each include a bluetooth module, and the power value transmitting unit transmits the measured power data and the identification ID through the bluetooth module at a cycle Δ t.
5. A method for studying and judging a fault of a power protection and distribution network with an electronic sand table is suitable for the fault studying and judging system of the power protection and distribution network with the electronic sand table as defined in claim 4,
the method comprises the following steps:
A) b, counting the models of the power distribution equipment in the power distribution network, and performing step B for each model of equipment;
B) regard as test equipment with the model equipment, insert experimental power and connect experimental power consumption unit, insert power measuring device at distribution equipment input and output, artificially make test equipment's trouble incentive according to the equipment model to gather under the trouble incentive effect, in order to set for the frequency record: in the process from normal work to the fault symptom before the fault occurs, the corresponding relation between the input power and the output power at the same time is established, a symptom corresponding table of the output power to the input power is established, and the corresponding symptom sound characteristics are recorded;
C) during the power protection task, measuring and recording the input end power, the output end power and the working noise of the power distribution equipment;
D) when the power distribution network fails, comparing output end power of all power distribution equipment obtained by measurement in a time period T before the failure with predicted output power obtained by calculation through a symptom corresponding table, if a difference value obtained by calculation of certain power distribution equipment is lower than a set symptom threshold value, judging that the power distribution equipment fails, and displaying failure inducement;
E) and D, if the fault studying and judging result is not obtained in the step D, comparing the working noise of all the power distribution equipment measured in the time period T before the fault with the symptom sound characteristic, if the difference is lower than the set symptom sound threshold, judging that the power distribution equipment has the fault, and displaying a fault cause.
6. The system for studying and judging faults of a power protection and distribution network with an electronic sand table as claimed in claim 5, wherein,
the method for artificially manufacturing the fault inducement of the test equipment according to the equipment model comprises the following steps: when the distribution equipment is a transformer, the fault inducement factors of the artificial manufacturing test equipment comprise insufficient transformer oil, water inflow of the transformer oil, unsmooth circulation of the transformer oil and the temperature of the transformer oil higher than 60 ℃.
7. The system for studying and judging faults of a power protection and distribution network with an electronic sand table as claimed in claim 6, wherein,
the method for artificially manufacturing the fault inducement of the test equipment according to the equipment model comprises the following steps: when the distribution equipment is a transformer, the fault inducement of the artificial manufacturing test equipment comprises damage to partial winding insulation, turn-to-turn insulation, silicon steel sheet insulation and insulator moisture.
8. The system for studying and judging faults of a power protection and distribution network with an electronic sand table as claimed in claim 7,
the calculation formula of the difference value between the output power and the predicted output power obtained through the symptom corresponding table is as follows:
9. The system for studying and judging faults of a power protection and distribution network with an electronic sand table as claimed in claim 8,
in the step B), a plurality of devices with the same model are used as test devices, a test power supply is connected to a test power consumption unit, a power measuring device is connected to the input end and the output end of the power distribution device, the fault inducement of the test devices is artificially manufactured according to the device model, and the fault inducement is collected under the action of the fault inducement to record with a set frequency: in the process from normal work to the fault symptom before the fault occurs, corresponding relations between input power and output power at the same time are established by each device, a candidate symptom corresponding table of the output power to the input power is established by each device, and a candidate symptom corresponding table with the highest repetition rate and the symptom sound features recorded at the same time are selected as the symptom corresponding table and the symptom sound features recorded at the same time.
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