CN108732444B - Intelligent substation protection equipment running state evaluation device and maintenance decision method - Google Patents
Intelligent substation protection equipment running state evaluation device and maintenance decision method Download PDFInfo
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Abstract
The invention discloses an intelligent substation protection equipment running state evaluation device, a station end protection equipment inspection device comprises a 1 st signal interface module, a 2 nd signal interface module, a 3 rd signal interface module, a signal decoding module, a time synchronization module, an information coding module, a station end human-computer interaction module, a characteristic data preprocessing module and an inspection report module, a main station end protection equipment evaluation device comprises a signal interface module, a main station end human-computer interaction module, a signal correction module, an evaluation operation module and an operation and maintenance auxiliary strategy module, and the invention also discloses an intelligent substation protection equipment maintenance decision method, which aims at providing running data such as alarm, abnormal deflection, action, online monitoring and the like of the intelligent substation protection equipment, giving the running state level of the protection equipment in time, facilitating reasonable arrangement of maintenance plans and providing equipment maintenance references for maintenance and repair units of the protection equipment, the regular maintenance is changed into the state maintenance.
Description
Technical Field
The invention relates to the technical field of intelligent substations, in particular to an evaluation device for the running state of protection equipment of an intelligent substation and a maintenance decision method for the protection equipment of the intelligent substation.
Background
At present, the running state monitoring of the relay protection equipment lacks practical application, equipment defect information is generally obtained in a mode of regular maintenance, and the equipment defect information stays in a stage of off-line evaluation, and a certain distance is provided for guiding the practical application of relay protection specialties, wherein the most important factor for restricting the practical application is that short-term on-line early warning cannot be carried out by utilizing relay protection data obtained in real time, so that the important research direction for monitoring and early warning the running state of the relay protection equipment based on real-time data and short-term historical data is an important research direction of the relay protection equipment.
At present, the evaluation of the running condition and the health state of the relay protection equipment is mostly based on the state information of the manually input equipment, and the running condition of the equipment is evaluated on a regular off-line basis through long-time data accumulation to give qualitative evaluation suggestions. The manual input method is prone to errors, and meanwhile, due to the fact that different evaluation standards are understood by personnel in different places, the quality of source data is affected, and the objectivity of an evaluation result is affected. Along with the scale construction and application of the intelligent substation, the relay protection equipment, the related merging unit and the intelligent terminal realize networked optical digital communication, and a good technical basis is provided for the online working condition monitoring and evaluation of the relay protection of the intelligent substation.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent substation protection equipment operation state evaluation device and an intelligent substation protection equipment maintenance decision method, wherein the operation state of the protection equipment is quantitatively evaluated according to alarms, abnormal displacement, actions and online monitoring data in a protection equipment daily inspection report and a plurality of judgment rules for making a protection equipment operation and maintenance plan. Therefore, the invention adopts the following technical scheme:
the intelligent substation protection equipment running state evaluation device comprises a station end protection equipment inspection device and a main station end protection equipment evaluation device,
the station-side protection equipment inspection device is used for periodically inspecting the intelligent substation protection equipment to form a station-side protection equipment daily inspection report, and the station-side protection equipment daily inspection report is uploaded to the master station-side protection equipment evaluation device through the power data network,
the main station end protection equipment evaluation device is used for receiving the station end protection equipment daily polling report, carrying out quantitative evaluation on the station end protection equipment according to a set rule according to the station end protection equipment daily polling report to obtain an operation state health evaluation value, and providing an auxiliary decision for operation and maintenance of the protection equipment according to the operation state health evaluation value of the protection equipment.
The station-side protection equipment inspection device comprises a 1 st signal interface module, a 2 nd signal interface module, a 3 rd signal interface module, a signal decoding module, a time synchronization module, an information coding module, a station-side human-computer interaction module, a characteristic data preprocessing module and an inspection report module,
the 1 st signal interface module is used for accessing a station control layer network and interacting with a protection device through an MMS message;
the 2 nd signal interface module is used for accessing the time synchronization signal of the intelligent substation, and forming local accurate time after the time synchronization module synchronizes, and the local accurate time provides accurate time information for the signal decoding module and the patrol inspection reporting module;
the 3 rd signal interface module is used for accessing a power data network and periodically transmitting a station end protection equipment daily inspection report coded by the signal coding module to the master station end protection equipment evaluation device;
the signal decoding module is used for analyzing the MMS message obtained by the 1 st signal interface and obtaining the characteristic data of the operating state of the protection equipment according to the model mapping of the characteristic data of the operating state of the station-end protection equipment set by the man-machine interaction module,
the signal coding module is used for coding the station end protection equipment daily inspection report and then sending the coded report to the 3 rd signal interface module;
the man-machine interaction module is used for importing an SCD file, setting model mapping of the station end protection equipment running state characteristic data and setting the protection equipment regular inspection time,
the characteristic data preprocessing module is used for classifying and counting the characteristic data of the operating state of the protection equipment to obtain a statistical result,
and the inspection report module is used for attaching local accurate time to the statistical result of the characteristic data preprocessing module according to the regular inspection time of the protection equipment set by the man-machine interaction module to form and store a daily inspection report of the station-side protection equipment.
The evaluation device of the main station end protection equipment comprises a signal interface module, a main station end human-computer interaction module, a signal correction module, an evaluation operation module and an operation and maintenance auxiliary strategy module,
the signal interface module is used for accessing an electric power data network and periodically receiving station end protection equipment daily polling reports sent by the station end protection equipment polling device;
the signal correction module is used for correcting the correctness of the protection equipment action data in the station-side protection equipment daily inspection report to obtain protection equipment misoperation data;
the evaluation operation module carries out operation according to an evaluation model and an evaluation rule set by the master station end human-computer interaction module to obtain an operation state health evaluation value, and the operation state health evaluation value of the whole network protection equipment is summarized and operated;
and the operation maintenance and overhaul auxiliary strategy module is used for giving an operation maintenance and overhaul auxiliary decision of the protection equipment according to the running state health assessment value.
The maintenance decision method for the intelligent substation protection equipment comprises the following steps:
step 1, taking a transformer substation as a unit, extracting protection equipment alarm data, protection equipment abnormal displacement data, protection equipment online monitoring data and protection equipment misoperation data of each protection equipment in the last week from a station-side protection equipment daily inspection report;
step 2, with a single protection device in the transformer substation as a unit, obtaining a warning data subtraction value according to whether the warning data of the protection device belongs to the protection device fault class and the number of times of the repeated warning data of the protection device;
step 3, taking a single protection device in the transformer substation as a unit, and obtaining a subtraction value of online monitoring data according to a comparison result of the direct-current voltage of the protection device, the device temperature, the light intensity sent by the optical port, the differential current and a corresponding threshold value in the online monitoring data of the protection device;
step 4, obtaining an abnormal displacement decrement value according to the repetition times of the abnormal displacement data of the protection equipment by taking a single protection equipment in the transformer substation as a unit;
step 5, with a single protection device in the transformer substation as a unit, obtaining an operation state health evaluation value Srelay of the protection device according to the number of times of misoperation data of the protection device;
step 6, with the transformer substation as a unit, carrying out weighting processing according to the running state health evaluation values of the protection devices with different voltage levels in the transformer substation to obtain a total running state health evaluation value Ssub of the protection equipment of the transformer substation;
step 7, obtaining the total running state health evaluation value Si of the protection equipment with the same model and the same software version number in the power grid according to the protection equipment malfunction data of the protection equipment with the same model and the same software version number in the power grid,
step 8, giving a prompt of 'no need of arranging maintenance and defect elimination treatment' or 'suggestion of arranging maintenance' according to the running state health assessment value Srelay of each protection device;
giving a prompt of 'no need of arranging maintenance and defect elimination treatment' or 'suggesting a master station to eliminate the defect treatment' or 'suggesting the master station to arrange maintenance' according to the total running state health evaluation value Ssub;
and giving a prompt of 'no need of arranging maintenance and defect elimination processing' or 'recommending uniform arrangement of maintenance' according to the total running state health assessment value Si of the protection equipment with the same model and the same software version number in the power grid.
Step 2 as described above comprises the steps of:
step 2.1, the alarm data subtraction value is initially 0, new protective equipment alarm data generated by the protective equipment in the last week are calculated one by one,
if the alarm data of the protection equipment belongs to the fault class of the protection equipment and is not repeated, the decrement value of the alarm data is increased by 2, if the alarm data of the protection equipment belongs to the fault class of the protection equipment and is repeated for n, and n is more than or equal to 2, the decrement value of the alarm data is increased by 2n-1；
If the alarm data of the protection equipment does not belong to the fault class of the protection equipment and is not repeated, the minus value of the alarm data is increased by 1, if the alarm data of the protection equipment does not belong to the fault class of the protection equipment and is repeated for n times, and n is more than or equal to 2, the minus value of the alarm data is increased by 2n-1，
The repeated protection device alarm data is only computed once,
the maximum limit value of the alarm data subtraction value is set by the master station end human-computer interaction module.
Step 3 as described above comprises the steps of:
step 3.1, the initial values of the online monitoring data subtraction value, the direct current voltage subtraction value, the temperature subtraction value, the light intensity subtraction value sent by the light port and the differential current subtraction value are all 0,
if the direct-current voltage of the protection equipment in the protection equipment on-line monitoring data of the protection equipment in the last week is lower than 2% of the normal value m times, the direct-current voltage subtraction value is increased by 2m-1When the value is j times higher than the normal value of 1%, the direct current voltage decrement value is increased by 2j-1Dividing the maximum limit value of the direct-current voltage subtraction value into 10 minutes, setting the maximum limit value of the direct-current voltage subtraction value through a master station end human-computer interaction module, and setting m and j to be natural numbers which are more than or equal to 1;
step 3.2, if the temperature of the device in the online monitoring data of the protection equipment in the last week is higher than the 20% temperature threshold value k times, the temperature decrement value is increased by 2k-1Setting the maximum limit value of the temperature subtraction value through a master station end human-computer interaction module, wherein k is a natural number greater than or equal to 1;
step 3.3, if the light intensity sent by the light port in the online monitoring data of the protection equipment in the last week is higher than the normal value L times of the light intensity sent by the 3.5 percent light port, subtracting 2L-1Dividing the light intensity sent by the light port into p times when the light intensity sent by the light port is lower than the normal value of 5 percent of the light intensity sent by the light port, and increasing the subtraction value of the light intensity sent by the light port by 2p-1According to the light splitting, the maximum limit value of the light intensity subtraction value sent by the optical port is set by the master station end human-computer interaction module, and L, p are all natural numbers more than or equal to 1;
step 3.4, if the differential flow evaluation of the protection device is involved:
and the differential flow in the online monitoring data of the protection equipment is higher than the reference value of the protection equipment of 20 percent for r times, the differential flow subtraction value is increased by 2r-1Setting a maximum limit value of the differential flow subtraction value through a master station end human-computer interaction module, wherein r is a natural number greater than or equal to 1;
the online monitoring data reduction value = direct voltage reduction value + temperature reduction value + light intensity transmission value + differential flow reduction value,
if no differential flow evaluation of the protection device is involved:
on-line monitoring data decrement value = (direct current voltage decrement value + temperature decrement value + light intensity transmission decrement value) x conversion coefficient,
the conversion factor = maximum limit value of the online monitoring data reduction value in case of differential flow evaluation involving the protection device/maximum limit value of the online monitoring data reduction value in case of differential flow evaluation not involving the protection device,
the maximum limit value of the online monitoring data subtraction value under the condition of differential flow evaluation related to the protection equipment and the maximum limit value of the online monitoring data subtraction value under the condition of differential flow evaluation not related to the protection equipment are set by the master station end human-computer interaction module.
Step 4 as described above comprises the steps of:
step 4.1, the initial value of the abnormal displacement decrement value is 0, and if the protection equipment generates a new nonrepeating abnormal displacement data in the latest week, the abnormal displacement decrement value is increased by 1 point;
step 4.2, if the protection equipment generates q times of new abnormal displacement data of the protection equipment in the last week, increasing the subtraction value of the abnormal displacement by 2q-1Wherein q is a natural number greater than 1;
and 4.3, setting the maximum limit value of the abnormal displacement decrement value to be 15 points, wherein the maximum limit value of the abnormal displacement decrement value can be set by the man-machine interaction module at the main station end.
Step 5 as described above comprises the steps of:
step 5.1, if the protection equipment does not have misoperation data of the protection equipment, judging the running state health assessment value Srelay = 100-alarm data decrement value-online monitoring data decrement value-abnormal displacement decrement value of the protection equipment in the last week;
step 5.2, if the protection device has protection device misoperation data, the running state health assessment value Srelay = 0 of the protection device;
the step 6 comprises the following steps:
step 6.1, if the substation has less than two pieces of protection equipment and error operation data of the protection equipment exists,
the total operating state health assessment value Ssub = (Slevel1 × I1 + Slevel2 × I2 + Sleve3 × I3)/(I1 + I2 + I3), I1, I2, I3 are weighting coefficients respectively,
wherein, slide 1 is an operation state health assessment value of the protection device at the highest voltage level in the substation, slide 1 = a weighted average of the operation state health assessment values of all the protection devices at the highest voltage level;
sleve2 is an operation state health assessment value of a protection device at the next highest voltage level in the substation, and Sleve2 = weighted average value of the operation state health assessment values of all protection devices at the next highest voltage level;
sleve3 is an operating state health assessment value of protection devices of other voltage classes in the substation, Sleve3 = a weighted average of operating state health assessment values of all protection devices of other voltage classes,
step 6.2, if two or more protection devices of the transformer substation have protection device misoperation data, judging that the total running state health evaluation value Ssub = 0 of the protection devices of the transformer substation exists;
the step 7 comprises the following steps:
7.1, if the number of protection equipment false operation data in the protection equipment with the same model and the same software version number in the power grid is less than two, the total running state health evaluation value Si of the protection equipment with the same model and the same software version number in the power grid = the average value of the running state health evaluation values of the protection equipment with the same model and the same software version number;
and 7.2, if two or more protection devices with the same model and the same software version number in the power grid have false operation data of the protection devices, judging that the total running state health evaluation value Si = 0 of the protection devices with the same model and the same software version number in the power grid.
Step 8 as described above comprises the steps of:
8.1, for a single protection device, if Srelay =100, marking that the protection device has a good running state, and not needing to arrange maintenance and defect elimination treatment; if 100> Srelay > = 95, the operation state of the protection equipment is marked as an abnormal alarm, and a prompt of 'suggesting deletion treatment' is given; if Srelay is less than 95, the operation state of the protection equipment is marked as a serious fault, and a prompt of 'suggesting to arrange for maintenance' is given;
8.2, for the transformer substation, if Ssub =100, marking the total operation state of the transformer substation as good without arranging maintenance and defect elimination treatment; if 100> Ssub >95, marking the total operation state of the transformer substation as an abnormal alarm, and giving a prompt of 'suggesting total substation vacancy elimination treatment'; if Ssub < = 95, marking the total operation state of the substation as a serious fault, and giving a prompt of 'suggesting a total substation to arrange for maintenance';
8.3, for the protection devices with the same model and the same software version number in the whole network, if Si =100, marking the running state of the protection devices as good without arranging maintenance and defect elimination treatment; if 100> Si >95, marking the running state of the equipment as abnormal alarm, and giving a prompt of 'suggesting unified arrangement of defect elimination treatment'; if Si < = 95, the operation state of the protection equipment is marked as a serious familial defect, and a prompt of 'recommending uniform arrangement and maintenance' is given.
The invention has the following beneficial effects:
the invention takes the daily inspection report of the protection equipment as the basis, fully extracts the characteristic number of the operation state of the protection equipment, carries out statistical analysis and comprehensive evaluation on the characteristic number of the operation state of the protection equipment, forms the health evaluation value of the operation state of the protection equipment of the power grid level, the transformer substation level and the equipment level every week, not only can actually guide the field work of maintenance and operation, but also can be used as the evaluation basis of the health state of the equipment in medium and long term.
The invention does not depend on communication of a letter protection system and other systems, does not influence the stability of other operating systems, avoids unreliability of data acquisition from other systems, saves the time for joint debugging with other systems, reduces the cost of joint debugging of the systems, and more importantly, the invention has higher real-time performance, is simple and easy to popularize, and improves the quality and efficiency of maintenance operation and maintenance work of protective equipment.
Drawings
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic structural diagram of a station-side protection equipment inspection device according to the present invention;
FIG. 3 is a schematic structural diagram of an evaluation apparatus for a master station protection device according to the present invention;
FIG. 4 is a schematic diagram of the steps of the method of the present invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings and detailed description, in order to facilitate the understanding and implementation of the invention by those skilled in the art.
The invention provides an intelligent substation protection equipment operation state evaluation device, which comprises a station end protection equipment inspection device and a main station end protection equipment evaluation device as shown in figures 1-3, wherein the station end protection equipment inspection device and the main station end protection equipment evaluation device are connected through a power data network.
The station-side protection equipment inspection device is used for periodically inspecting the intelligent substation protection equipment to form a station-side protection equipment daily inspection report and transmitting the daily inspection report to the master station-side protection equipment evaluation device through the power data network;
the master station end protection equipment evaluation device is used for receiving a station end protection equipment daily inspection report, automatically carrying out quantitative evaluation on the station end protection equipment every week according to a set rule according to a plurality of judgment rules, calculating an operation state health evaluation value (including an operation state health evaluation value Srelay of the protection equipment, a total operation state health evaluation value Ssub of the substation protection equipment, and a total operation state health evaluation value Si of the protection equipment with the same model and the same software version number in a power grid), and providing an auxiliary decision basis for operation and maintenance of the protection equipment.
In the technical scheme, the inspection device for the station-side protection equipment comprises a 1 st signal interface module, a 2 nd signal interface module, a 3 rd signal interface module, a signal decoding module, a time synchronization module, an information coding module, a station-side human-computer interaction module, a characteristic data preprocessing module and an inspection report module, and further,
the 1 st signal interface module is used for accessing a station control layer network and interacting with a protection device through an MMS message;
the 2 nd signal interface module is used for accessing the time synchronization signal of the intelligent substation, and forming local accurate time after the time synchronization module synchronizes, and the local accurate time provides accurate time information for the signal decoding module and the patrol inspection reporting module;
the 3 rd signal interface module is used for accessing a power data network and periodically transmitting a station end protection equipment daily inspection report coded by the signal coding module to the master station end protection equipment evaluation device;
and the signal decoding module is used for analyzing the MMS message obtained by the 1 st signal interface and obtaining the characteristic data of the operating state of the protection equipment according to the model mapping of the characteristic data of the operating state of the station-side protection equipment set by the station-side man-machine interaction module.
The signal coding module is used for coding the station end protection equipment daily inspection report and then sending the coded report to the 3 rd signal interface module;
and the station end man-machine interaction module is used for importing an SCD file, setting model mapping of the running state characteristic data of the station end protection equipment and setting the regular inspection time of the protection equipment.
The characteristic data preprocessing module is used for classifying and counting the characteristic data of the operation state of the protection equipment to obtain a statistical result.
And the inspection report module is used for attaching local accurate time to the statistical result of the characteristic data preprocessing module according to the regular inspection time of the protection equipment set by the station end human-computer interaction module to form a daily inspection report of the station end protection equipment and store the daily inspection report.
In this embodiment, the characteristic data of the operating state of the protection device includes alarm data of the protection device, abnormal displacement data of the protection device, action data of the protection device, and on-line monitoring data of the protection device, and further,
the protection device alarm data comprises entries in a protection device fault signal data set dsAlarm, an alarm signal data set dsWarnng and a communication condition data set dsCommState, the protection device alarm data is selected and set by a station end human-computer interaction module, and further the selected and set protection device alarm data is marked as protection device fault alarm data and non-fault alarm data by the station end human-computer interaction module.
The abnormal displacement data of the protection equipment comprises items in a remote signaling data set dsRelayDin and a pressure plate data set dsRelayEna of the protection equipment, the abnormal displacement data of the protection equipment comprises a hard pressure plate for overhauling the protection equipment, a hard pressure plate for remote operation, a functional soft pressure plate, an SV input soft pressure plate, a GOOSE input soft pressure plate and a GOOSE output soft pressure plate, and the abnormal displacement data of the protection equipment is selected and set by a station-side human-computer interaction module;
the protection device action data comprises entries in a protection device data set dsTripInfo, the protection device action data comprises protection starting, protection tripping and protection superposition, and the protection device action data is selected and set by a station-side human-computer interaction module;
the online monitoring data of the protection equipment comprises items in a remote monitoring data set dsRelayAin of the protection equipment, the online monitoring data of the protection equipment comprises direct-current voltage of the protection equipment, device temperature and light intensity sent by an optical port, and the online monitoring data of the protection equipment is selected and set by a station-side human-computer interaction module.
In the technical scheme, the main station end protection equipment evaluation device comprises a signal interface module, a main station end human-computer interaction module, a signal correction module, an evaluation operation module and an operation and maintenance auxiliary strategy module,
the signal interface module is used for accessing an electric power data network and periodically receiving station end protection equipment daily polling reports sent by the station end protection equipment polling device;
the signal correction module is used for correcting the correctness of the protection equipment action data in the station-side protection equipment daily inspection report to obtain protection equipment misoperation data;
the evaluation operation module performs operation according to an evaluation model and an evaluation rule set by the master station side human-computer interaction module to obtain an operation state health evaluation value (including an operation state health evaluation value Srelay of the protection equipment, a total operation state health evaluation value Ssub of the substation protection equipment, and a total operation state health evaluation value Si of the protection equipment with the same model and the same software version number in the power grid);
and the operation maintenance and overhaul auxiliary strategy module is used for giving an operation maintenance and overhaul auxiliary decision of the protection equipment according to the running state health evaluation value of the evaluation operation module.
In this embodiment, the correcting the action correctness of the protection device means that the master station-side human-computer interaction module marks data belonging to a false action in the action data of the protection device to form false action data of the protection device.
As shown in fig. 4. The maintenance decision method for the intelligent substation protection equipment comprises the following steps:
step 1, taking a transformer substation as a unit, extracting protection equipment alarm data, protection equipment abnormal displacement data, protection equipment online monitoring data and protection equipment misoperation data of each protection equipment in the last week from a station-side protection equipment daily inspection report;
step 2, with a single protection device in the transformer substation as a unit, obtaining a warning data subtraction value according to whether the warning data of the protection device belongs to the protection device fault class and the number of times of the repeated warning data of the protection device;
step 3, taking a single protection device in the transformer substation as a unit, and obtaining a subtraction value of online monitoring data according to a comparison result of the direct-current voltage of the protection device, the device temperature, the light intensity sent by the optical port, the differential current and a corresponding threshold value in the online monitoring data of the protection device;
step 4, obtaining an abnormal displacement decrement value according to the repetition times of the abnormal displacement data of the protection equipment by taking a single protection equipment in the transformer substation as a unit;
step 5, with a single protection device in the transformer substation as a unit, obtaining an operation state health evaluation value Srelay of the protection device according to the number of times of misoperation data of the protection device;
step 6, with the transformer substation as a unit, carrying out weighting processing according to the running state health evaluation values of the protection devices with different voltage levels in the transformer substation to obtain a total running state health evaluation value Ssub of the protection equipment of the transformer substation;
and 7, obtaining the total running state health evaluation value Si of the protection equipment with the same model and the same software version number in the power grid according to the protection equipment misoperation data of the protection equipment with the same model and the same software version number in the power grid.
Step 8, giving a prompt of 'no need of arranging maintenance and defect elimination treatment' or 'suggestion of arranging maintenance' according to the running state health assessment value Srelay of each protection device;
giving a prompt of 'no need of arranging maintenance and defect elimination treatment' or 'suggesting a master station to eliminate the defect treatment' or 'suggesting the master station to arrange maintenance' according to the total running state health evaluation value Ssub;
and giving a prompt of 'no need of arranging maintenance and defect elimination processing' or 'recommending uniform arrangement of maintenance' according to the total running state health assessment value Si of the protection equipment with the same model and the same software version number in the power grid.
In this embodiment, the steps 1 to 7 are implemented by an evaluation operation module, and the step 8 is implemented by an operation and maintenance auxiliary policy module.
In this embodiment, the step 2 is processed according to the following logic:
step 2.1, the alarm data subtraction value is initially 0, new protective equipment alarm data generated by the protective equipment in the last week are calculated one by one,
if the alarm data of the protection equipment belongs to the fault class of the protection equipment and is not repeated, the minus value of the alarm data is increased by 2, if the alarm data of the protection equipment belongs to the fault class of the protection equipment and is repeated for n (n is more than or equal to 2), the minus value of the alarm data is increased by 2n-1；
If the alarm data of the protection equipment does not belong to the fault class of the protection equipment and is not repeated, the minus value of the alarm data is increased by 1, and if the alarm data of the protection equipment does not belong to the fault class of the protection equipment and is repeated for n (n is more than or equal to 2), the minus value of the alarm data is increased by 2n-1，
The repeated protection device alarm data is only operated once.
And 2.2, setting the maximum limit value of the alarm data subtraction value to be 50 points, wherein the maximum limit value of the alarm data subtraction value can be set by the man-machine interaction module at the main station end.
In this embodiment, the step 3 is processed according to the following logic:
step 3.1, the initial values of the online monitoring data subtraction value, the direct current voltage subtraction value, the temperature subtraction value, the light intensity subtraction value sent by the light port and the differential current subtraction value are all 0,
if the direct-current voltage of the protection equipment in the protection equipment on-line monitoring data of the protection equipment in the last week is lower than 2% of the normal value m times, the direct-current voltage subtraction value is increased by 2m-1When the value is j times higher than the normal value of 1%, the direct current voltage decrement value is increased by 2j-1Dividing the maximum limit value of the direct-current voltage subtraction value into 10 minutes, defaulting the normal value of the direct-current voltage of the protection equipment to be 5V or 24V, setting the normal value of the direct-current voltage of the protection equipment and the maximum limit value of the direct-current voltage subtraction value through a master station end human-computer interaction module, wherein m and j are natural numbers which are more than or equal to 1;
step 3.2, if the temperature of the device in the online monitoring data of the protection equipment in the last week is higher than the 20% temperature threshold value k times, the temperature decrement value is increased by 2k-1Dividing the maximum limit value of the temperature subtraction value into 5 points, setting the temperature threshold value and the maximum limit value of the temperature subtraction value through a master station end human-computer interaction module, and setting k to be a natural number which is greater than or equal to 1;
step 3.3, if the light intensity sent by the light port in the online monitoring data of the protection equipment in the last week is higher than the normal value L times of the light intensity sent by the 3.5 percent light port, subtracting 2L-1Dividing the light intensity sent by the light port into p times when the light intensity sent by the light port is lower than the normal value of 5 percent of the light intensity sent by the light port, and increasing the subtraction value of the light intensity sent by the light port by 2p-1Dividing, accumulating the light intensity subtraction values sent by the light ports of each light port of the protection device, wherein the maximum limit value of the light intensity subtraction values sent by the light ports is 10 minutes, the normal value of the light intensity sent by the light ports and the maximum limit value of the light intensity subtraction values sent by the light ports can be set through a master station end human-computer interaction module, and L, p are natural numbers which are more than or equal to 1;
step 3.4, if the differential flow evaluation of the protection device is involved:
and the differential flow in the online monitoring data of the protection equipment is higher than the reference value of the protection equipment of 20 percent for r times, the differential flow subtraction value is increased by 2r-1Dividing the differential flow subtraction value into 10 minutes, and setting the differential flow reference value of the protective equipment to be 0.1 In; the maximum limit value of the differential flow subtraction value is set by the man-machine interaction module at the main station end, r is a natural number which is more than or equal to 1,
the online monitoring data reduction value = direct voltage reduction value + temperature reduction value + light intensity transmission value + differential flow reduction value.
If no differential flow evaluation of the protection device is involved:
on-line monitoring data decrement value = (direct-current voltage decrement value + temperature decrement value + light intensity sent by light port) x conversion coefficient.
The conversion factor = maximum limit value of online monitoring data reduction value in case of differential flow evaluation involving the protection device/maximum limit value of online monitoring data reduction value in case of differential flow evaluation not involving the protection device.
The maximum limit value of the online monitoring data subtraction value under the condition of differential flow evaluation related to the protection equipment and the maximum limit value of the online monitoring data subtraction value under the condition of differential flow evaluation not related to the protection equipment can be set by the master station end human-computer interaction module.
In this embodiment, the step 4 is processed according to the following logic:
step 4.1, the initial value of the abnormal displacement decrement value is 0, and if the protection equipment generates a new nonrepeating abnormal displacement data in the latest week, the abnormal displacement decrement value is increased by 1 point;
step 4.2, if the protection equipment generates q times of new abnormal displacement data of the protection equipment in the last week, increasing the subtraction value of the abnormal displacement by 2q-1Wherein q is a natural number greater than 1;
and 4.3, setting the maximum limit value of the abnormal displacement decrement value to be 15 points, wherein the maximum limit value of the abnormal displacement decrement value can be set by the man-machine interaction module at the main station end.
In this embodiment, the comprehensive evaluation operation performed on the protection device in step 5 is performed according to the following logic:
step 5.1, if the protection equipment does not have misoperation data of the protection equipment, judging the running state health assessment value Srelay = 100-alarm data decrement value-online monitoring data decrement value-abnormal displacement decrement value of the protection equipment in the last week;
and 5.2, if the protection device has protection device misoperation data, judging that the running state health assessment value Srelay = 0 of the protection device exists.
In this embodiment, the comprehensive evaluation operation on all the protection devices of the substation in step 6 is performed according to the following logic:
step 6.1, if the substation has less than two pieces of protection equipment and error operation data of the protection equipment exists,
the health assessment value Ssub = (Slevel1 × I1 + Slevel2 × I2 + Sleve3 × I3)/(I1 + I2 + I3) of the total operating state of the substation protection equipment, I1, I2, I3 are weighting coefficients respectively, I1 is 1.1 by default, I2 is 1 by default, I3 is 0.9 by default,
wherein, slide 1 is an operation state health assessment value of the protection device at the highest voltage level in the substation, slide 1 = a weighted average of the operation state health assessment values of all the protection devices at the highest voltage level;
sleve2 is an operation state health assessment value of a protection device at the next highest voltage level in the substation, and Sleve2 = weighted average value of the operation state health assessment values of all protection devices at the next highest voltage level;
sleve3 is an operating state health assessment value of protection devices of other voltage classes in the substation, and Sleve3 = a weighted average of the operating state health assessment values of all protection devices of other voltage classes.
Step 6.2, if two or more protection devices of the transformer substation have protection device misoperation data, judging that the total running state health evaluation value Ssub = 0 of the protection devices of the transformer substation exists;
in this embodiment, the protection devices with the same model and the same software version number in the accessed power grid in the step 7 are subjected to comprehensive evaluation operation, and are logically processed as follows:
7.1, if the number of protection equipment false operation data in the protection equipment with the same model and the same software version number in the power grid is less than two, the total running state health evaluation value Si of the protection equipment with the same model and the same software version number in the power grid = the average value of the running state health evaluation values of the protection equipment with the same model and the same software version number;
and 7.2, if two or more protection devices with the same model and the same software version number in the power grid have false operation data of the protection devices, judging that the total running state health evaluation value Si = 0 of the protection devices with the same model and the same software version number in the power grid.
The step 8 comprises the following steps:
8.1, for a single protection device, if Srelay =100, marking that the protection device has a good running state, and not needing to arrange maintenance and defect elimination treatment; if 100> Srelay > = 95, the operation state of the protection equipment is marked as an abnormal alarm, and a prompt of 'suggesting deletion treatment' is given; if Srelay is less than 95, the operation state of the protection equipment is marked as a serious fault, and a prompt of 'suggesting to arrange for maintenance' is given;
8.2, for the transformer substation, if Ssub =100, marking the total operation state of the transformer substation as good without arranging maintenance and defect elimination treatment; if 100> Ssub >95, marking the total operation state of the transformer substation as an abnormal alarm, and giving a prompt of 'suggesting total substation vacancy elimination treatment'; if Ssub < = 95, marking the total operation state of the substation as a serious fault, and giving a prompt of 'suggesting a total substation to arrange for maintenance';
8.3, for the protection devices with the same model and the same software version number in the whole network, if Si =100, marking the running state of the protection devices as good without arranging maintenance and defect elimination treatment; if 100> Si >95, marking the running state of the equipment as abnormal alarm, and giving a prompt of 'suggesting unified arrangement of defect elimination treatment'; if Si < = 95, the operation state of the protection equipment is marked as a serious familial defect, and a prompt of 'recommending uniform arrangement and maintenance' is given.
The above embodiment is only one embodiment of the present invention, and the description is specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention.
Claims (2)
1. The intelligent substation protection equipment running state evaluation device comprises a station end protection equipment inspection device and is characterized by also comprising a main station end protection equipment evaluation device,
the station-side protection equipment inspection device is used for periodically inspecting the intelligent substation protection equipment to form a station-side protection equipment daily inspection report, and the station-side protection equipment daily inspection report is uploaded to the master station-side protection equipment evaluation device through the power data network,
the main station end protection equipment evaluation device is used for receiving the station end protection equipment daily polling report, carrying out quantitative evaluation on the station end protection equipment according to a set rule according to the station end protection equipment daily polling report to obtain an operation state health evaluation value, providing a protection equipment operation and maintenance auxiliary decision according to the protection equipment operation state health evaluation value,
the station end protection equipment inspection device comprises a 1 st signal interface module, a 2 nd signal interface module, a 3 rd signal interface module, a signal decoding module, a time synchronization module, an information coding module, a station end human-computer interaction module, a characteristic data preprocessing module and an inspection report module,
the 1 st signal interface module is used for accessing a station control layer network and interacting with a protection device through an MMS message;
the 2 nd signal interface module is used for accessing the time synchronization signal of the intelligent substation, and forming local accurate time after the time synchronization module synchronizes, and the local accurate time provides accurate time information for the signal decoding module and the patrol inspection reporting module;
the 3 rd signal interface module is used for accessing a power data network and periodically transmitting a station end protection equipment daily inspection report coded by the signal coding module to the master station end protection equipment evaluation device;
the signal decoding module is used for analyzing the MMS message obtained by the 1 st signal interface and obtaining the characteristic data of the operating state of the protection equipment according to the model mapping of the characteristic data of the operating state of the station-end protection equipment set by the man-machine interaction module,
the signal coding module is used for coding the station end protection equipment daily inspection report and then sending the coded report to the 3 rd signal interface module;
the man-machine interaction module is used for importing an SCD file, setting model mapping of the station end protection equipment running state characteristic data and setting the protection equipment regular inspection time,
the characteristic data preprocessing module is used for classifying and counting the characteristic data of the operating state of the protection equipment to obtain a statistical result,
the polling report module is used for attaching the statistical result of the characteristic data preprocessing module to local accurate time according to the regular polling time of the protection equipment set by the man-machine interaction module to form and store a daily polling report of the station-side protection equipment,
the evaluation device of the main station end protection equipment comprises a signal interface module, a main station end man-machine interaction module, a signal correction module, an evaluation operation module and an operation maintenance auxiliary strategy module,
the signal interface module is used for accessing an electric power data network and periodically receiving station end protection equipment daily polling reports sent by the station end protection equipment polling device;
the signal correction module is used for correcting the correctness of the protection equipment action data in the station-side protection equipment daily inspection report to obtain protection equipment misoperation data;
the evaluation operation module carries out operation according to an evaluation model and an evaluation rule set by the master station end human-computer interaction module to obtain an operation state health evaluation value, and the operation state health evaluation value of the whole network protection equipment is summarized and operated;
and the operation maintenance and overhaul auxiliary strategy module is used for giving an operation maintenance and overhaul auxiliary decision of the protection equipment according to the running state health assessment value.
2. The intelligent substation protection equipment maintenance decision method is characterized by comprising the following steps:
step 1, taking a transformer substation as a unit, extracting protection equipment alarm data, protection equipment abnormal displacement data, protection equipment online monitoring data and protection equipment misoperation data of each protection equipment in the last week from a station-side protection equipment daily inspection report;
step 2, with a single protection device in the transformer substation as a unit, obtaining a warning data subtraction value according to whether the warning data of the protection device belongs to the protection device fault class and the number of times of the repeated warning data of the protection device;
step 3, taking a single protection device in the transformer substation as a unit, and obtaining a subtraction value of online monitoring data according to a comparison result of the direct-current voltage of the protection device, the device temperature, the light intensity sent by the optical port, the differential current and a corresponding threshold value in the online monitoring data of the protection device;
step 4, obtaining an abnormal displacement decrement value according to the repetition times of the abnormal displacement data of the protection equipment by taking a single protection equipment in the transformer substation as a unit;
step 5, with a single protection device in the transformer substation as a unit, obtaining an operation state health evaluation value Srelay of the protection device according to the number of times of misoperation data of the protection device;
step 6, with the transformer substation as a unit, carrying out weighting processing according to the running state health evaluation values of the protection devices with different voltage levels in the transformer substation to obtain a total running state health evaluation value Ssub of the protection equipment of the transformer substation;
step 7, obtaining the total running state health evaluation value Si of the protection equipment with the same model and the same software version number in the power grid according to the protection equipment malfunction data of the protection equipment with the same model and the same software version number in the power grid,
step 8, giving a prompt of 'no need of arranging maintenance and defect elimination treatment' or 'suggestion of arranging maintenance' according to the running state health assessment value Srelay of each protection device;
giving a prompt of 'no need of arranging maintenance and defect elimination treatment' or 'suggesting a master station to eliminate the defect treatment' or 'suggesting the master station to arrange maintenance' according to the total running state health evaluation value Ssub;
giving a prompt of 'no need of arranging maintenance and defect elimination processing' or 'recommending uniform arrangement of maintenance' according to the total running state health assessment value Si of the protection equipment with the same model and the same software version number in the power grid,
the step 2 comprises the following steps:
step 2.1, the alarm data subtraction value is initially 0, new protective equipment alarm data generated by the protective equipment in the last week are calculated one by one,
if the alarm data of the protection equipment belongs to the fault class of the protection equipment and is not repeated, the decrement value of the alarm data is increased by 2, if the alarm data of the protection equipment belongs to the fault class of the protection equipment and is repeated for n, and n is more than or equal to 2, the decrement value of the alarm data is increased by 2n-1；
If the alarm data of the protection equipment does not belong to the fault class of the protection equipment and is not repeated, the minus value of the alarm data is increased by 1, if the alarm data of the protection equipment does not belong to the fault class of the protection equipment and is repeated for n times, and n is more than or equal to 2, the minus value of the alarm data is increased by 2n-1，
The repeated protection device alarm data is only computed once,
the maximum limit value of the alarm data subtraction value is set by the man-machine interaction module at the main station end,
the step 3 comprises the following steps:
step 3.1, the initial values of the online monitoring data subtraction value, the direct current voltage subtraction value, the temperature subtraction value, the light intensity subtraction value sent by the light port and the differential current subtraction value are all 0,
if the direct-current voltage of the protection equipment in the protection equipment on-line monitoring data of the protection equipment in the last week is lower than 2% of the normal value m times, the direct-current voltage subtraction value is increased by 2m-1When the value is j times higher than the normal value of 1%, the direct current voltage decrement value is increased by 2j-1Dividing the maximum limit value of the direct-current voltage subtraction value into 10 minutes, setting the maximum limit value of the direct-current voltage subtraction value through a master station end human-computer interaction module, and setting m and j to be natural numbers which are more than or equal to 1;
step 3.2,If the temperature of the device in the online monitoring data of the protection equipment in the last week is higher than the 20% temperature threshold value for k times, the temperature decrement value is increased by 2k-1Setting the maximum limit value of the temperature subtraction value through a master station end human-computer interaction module, wherein k is a natural number greater than or equal to 1;
step 3.3, if the light intensity sent by the light port in the online monitoring data of the protection equipment in the last week is higher than the normal value L times of the light intensity sent by the 3.5 percent light port, subtracting 2L-1Dividing the light intensity sent by the light port into p times when the light intensity sent by the light port is lower than the normal value of 5 percent of the light intensity sent by the light port, and increasing the subtraction value of the light intensity sent by the light port by 2p-1According to the light splitting, the maximum limit value of the light intensity subtraction value sent by the optical port is set by the master station end human-computer interaction module, and L, p are all natural numbers more than or equal to 1;
step 3.4, if the differential flow evaluation of the protection device is involved:
if the differential flow in the online monitoring data of the protection equipment is higher than r times of 20% of the reference value of the protection equipment, the differential flow subtraction value is increased by 2r-1Setting a maximum limit value of the differential flow subtraction value through a master station end human-computer interaction module, wherein r is a natural number greater than or equal to 1;
the online monitoring data reduction value = direct voltage reduction value + temperature reduction value + light intensity transmission value + differential flow reduction value,
if no differential flow evaluation of the protection device is involved:
on-line monitoring data decrement value = (direct current voltage decrement value + temperature decrement value + light intensity transmission decrement value) x conversion coefficient,
the conversion factor = maximum limit value of the online monitoring data reduction value in case of differential flow evaluation involving the protection device/maximum limit value of the online monitoring data reduction value in case of differential flow evaluation not involving the protection device,
the maximum limit value of the online monitoring data subtraction value under the condition of differential flow evaluation related to the protection equipment and the maximum limit value of the online monitoring data subtraction value under the condition of differential flow evaluation not related to the protection equipment are set by the man-machine interaction module at the main station end,
the step 4 comprises the following steps:
step 4.1, the initial value of the abnormal displacement decrement value is 0, and if the protection equipment generates a new nonrepeating abnormal displacement data in the latest week, the abnormal displacement decrement value is increased by 1 point;
step 4.2, if the protection equipment generates q times of new abnormal displacement data of the protection equipment in the last week, increasing the subtraction value of the abnormal displacement by 2q-1Wherein q is a natural number greater than 1;
step 4.3, the maximum limit value of the abnormal displacement decrement value is 15 points, the maximum limit value of the abnormal displacement decrement value can be set by the man-machine interaction module at the main station end,
the step 5 comprises the following steps:
step 5.1, if the protection equipment does not have misoperation data of the protection equipment, judging the running state health assessment value Srelay = 100-alarm data decrement value-online monitoring data decrement value-abnormal displacement decrement value of the protection equipment in the last week;
step 5.2, if the protection device has protection device misoperation data, the running state health assessment value Srelay = 0 of the protection device;
the step 6 comprises the following steps:
step 6.1, if the substation has less than two pieces of protection equipment and error operation data of the protection equipment exists,
the total operating state health assessment value Ssub = (Slevel1 × I1 + Slevel2 × I2 + Sleve3 × I3)/(I1 + I2 + I3), I1, I2, I3 are weighting coefficients respectively,
wherein, slide 1 is an operation state health assessment value of the protection device at the highest voltage level in the substation, slide 1 = a weighted average of the operation state health assessment values of all the protection devices at the highest voltage level;
sleve2 is an operation state health assessment value of a protection device at the next highest voltage level in the substation, and Sleve2 = weighted average value of the operation state health assessment values of all protection devices at the next highest voltage level;
sleve3 is an operating state health assessment value of protection devices of other voltage classes in the substation, Sleve3 = a weighted average of operating state health assessment values of all protection devices of other voltage classes,
step 6.2, if two or more protection devices of the transformer substation have protection device misoperation data, judging that the total running state health evaluation value Ssub = 0 of the protection devices of the transformer substation exists;
the step 7 comprises the following steps:
7.1, if the number of protection equipment false operation data in the protection equipment with the same model and the same software version number in the power grid is less than two, the total running state health evaluation value Si of the protection equipment with the same model and the same software version number in the power grid = the average value of the running state health evaluation values of the protection equipment with the same model and the same software version number;
step 7.2, if two or more protection devices with the same model and the same software version number in the power grid have false operation data of the protection devices, the total running state health evaluation value Si = 0 of the protection devices with the same model and the same software version number in the power grid,
the step 8 comprises the following steps:
8.1, for a single protection device, if Srelay =100, marking that the protection device has a good running state, and not needing to arrange maintenance and defect elimination treatment; if 100> Srelay > = 95, the operation state of the protection equipment is marked as an abnormal alarm, and a prompt of 'suggesting deletion treatment' is given; if Srelay is less than 95, the operation state of the protection equipment is marked as a serious fault, and a prompt of 'suggesting to arrange for maintenance' is given;
8.2, for the transformer substation, if Ssub =100, marking the total operation state of the transformer substation as good without arranging maintenance and defect elimination treatment; if 100> Ssub >95, marking the total operation state of the transformer substation as an abnormal alarm, and giving a prompt of 'suggesting total substation vacancy elimination treatment'; if Ssub < = 95, marking the total operation state of the substation as a serious fault, and giving a prompt of 'suggesting a total substation to arrange for maintenance';
8.3, for the protection devices with the same model and the same software version number in the whole network, if Si =100, marking the running state of the protection devices as good without arranging maintenance and defect elimination treatment; if 100> Si >95, marking the running state of the equipment as abnormal alarm, and giving a prompt of 'suggesting unified arrangement of defect elimination treatment'; if Si < = 95, the operation state of the protection equipment is marked as a serious familial defect, and a prompt of 'recommending unified maintenance' is given.
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| CN112260892B (en) * | 2020-10-14 | 2023-04-25 | 国网山东省电力公司临朐县供电公司 | Management method, system, terminal and storage medium for dispatching nodes of power distribution system |
| CN112947385B (en) * | 2021-03-22 | 2021-11-02 | 华中科技大学 | Aircraft fault diagnosis method and system based on improved Transformer model |
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