CN111273127A - Method and device for processing D-PMU fault wave recording data of power distribution network - Google Patents
Method and device for processing D-PMU fault wave recording data of power distribution network Download PDFInfo
- Publication number
- CN111273127A CN111273127A CN202010074689.8A CN202010074689A CN111273127A CN 111273127 A CN111273127 A CN 111273127A CN 202010074689 A CN202010074689 A CN 202010074689A CN 111273127 A CN111273127 A CN 111273127A
- Authority
- CN
- China
- Prior art keywords
- fault
- fault recording
- recording data
- pmu
- terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012545 processing Methods 0.000 title claims abstract description 66
- 238000009826 distribution Methods 0.000 title claims abstract description 61
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000003860 storage Methods 0.000 claims description 31
- 238000005259 measurement Methods 0.000 claims description 13
- 238000004590 computer program Methods 0.000 claims description 10
- 238000003672 processing method Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 abstract description 13
- 238000010586 diagram Methods 0.000 description 14
- 230000006870 function Effects 0.000 description 13
- 101100208421 Candida albicans (strain SC5314 / ATCC MYA-2876) TMP1 gene Proteins 0.000 description 4
- 101100182720 Homo sapiens LY6E gene Proteins 0.000 description 4
- 102100032131 Lymphocyte antigen 6E Human genes 0.000 description 4
- 101100153788 Schizosaccharomyces pombe (strain 972 / ATCC 24843) tpx1 gene Proteins 0.000 description 4
- 101150048440 TSA1 gene Proteins 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 4
- 238000012544 monitoring process Methods 0.000 description 4
- 101150066801 tea1 gene Proteins 0.000 description 4
- 101100208128 Arabidopsis thaliana TSA1 gene Proteins 0.000 description 3
- 101100201844 Homo sapiens RSPH1 gene Proteins 0.000 description 3
- 102100035089 Radial spoke head 1 homolog Human genes 0.000 description 3
- 101100313259 Schizosaccharomyces pombe (strain 972 / ATCC 24843) tea2 gene Proteins 0.000 description 3
- 101100313260 Schizosaccharomyces pombe (strain 972 / ATCC 24843) tea3 gene Proteins 0.000 description 3
- 101150104676 TSA2 gene Proteins 0.000 description 3
- 239000000835 fiber Substances 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000001902 propagating effect Effects 0.000 description 2
- 230000003252 repetitive effect Effects 0.000 description 2
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- -1 TSA3} Proteins 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- 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
-
- 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
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/22—Flexible AC transmission systems [FACTS] or power factor or reactive power compensating or correcting units
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention relates to a method and a device for processing D-PMU fault recording data of a power distribution network, wherein the method comprises the following steps: receiving a fault signal, wherein the fault signal is monitored by a D-PMU terminal arranged in a power distribution network; determining a terminal range of the fault recording data according to the fault signal and a preset fault recording calling group; determining a time range for requesting fault recording data according to the fault signal and related application requirements; determining fault recording data request information according to the time range; and issuing the fault recording data request information according to the terminal range. By adopting the method and the device, the requirement of advanced application on fault recording data can be met, the transmission quantity of system network data is effectively reduced, and the burden of a system main station on storing and processing fault recording is reduced.
Description
Technical Field
The disclosure relates to the technical field of electric power, in particular to a method and a device for processing D-PMU fault recording data of a power distribution network.
Background
In a distribution network wide area measurement system (D-WAMS), a miniature phasor measurement unit (D-PMU) can monitor fault signals and generate fault recording data, and a system main station can call and process the fault recording data for a D-PMU terminal.
However, in a large-scale D-WAMS, the number of the accessed D-PMU terminals is large, so that a system main station receives a large number of fault signals sent by the D-PMU terminals; the master station needs to call a large amount of D-PMU terminals for fault recording data, so that the waste of system network transmission resources is caused, and the loads of calling the master station and processing the recording data are increased.
Disclosure of Invention
In view of this, the present disclosure provides a method and an apparatus for processing D-PMU fault recording data of a power distribution network, and a storage medium.
According to one aspect of the disclosure, a method for processing fault recording data of a power distribution network D-PMU is provided, which includes:
receiving a fault signal, wherein the fault signal is monitored by a D-PMU terminal of a micro phasor measurement device arranged in a power distribution network;
determining a terminal range of the fault recording data according to the fault signal and a preset fault recording calling group;
determining a time range for requesting fault recording data according to the fault signal and related application requirements;
determining fault recording data request information according to the time range;
and issuing the fault recording data request information according to the terminal range.
In one possible implementation, the method further includes: and carrying out duplicate removal processing on the fault signal to obtain a duplicate removal result.
In a possible implementation manner, the issuing the fault recording data request information according to the terminal range includes:
issuing the fault recording data request information according to the terminal range and the duplicate removal result;
or,
the determining the terminal range of the request fault recording data according to the fault signal and a preset fault recording calling group comprises:
and determining the terminal range of the fault recording data according to the duplicate removal result and a preset fault recording calling group.
In a possible implementation manner, the obtaining a duplicate removal result by performing a duplicate removal process on the fault signal includes:
selecting a reference fault signal;
determining a repeated fault signal according to a preset condition;
removing the repeated fault signals from the fault signals to obtain a duplicate removal result;
wherein the preset conditions are as follows: the repeated fault signal and the reference fault signal correspond to the same fault recording calling group, and the difference value of the corresponding fault moments is smaller than a preset threshold value.
In a possible implementation manner, before determining a terminal range requesting fault recording according to the fault signal and a preset fault recording call group, the method further includes:
and grouping the D-PMU terminals according to the topological structure information of the power distribution network to obtain the preset fault recording call group.
In one possible implementation, the method further includes:
receiving fault recording data sent by a D-PMU terminal within the range of the terminal,
the terminal range is a fault recording calling group, and the uploaded fault recording data is the fault recording data in the time range.
In one possible implementation, the method further includes:
storing the received fault recording data as a fault recording file;
and informing an executor of the related application to read the fault recording file.
According to another aspect of the present disclosure, a D-PMU fault recording data processing device for a power distribution network is provided, which includes:
the system comprises a fault signal receiving module, a fault signal processing module and a fault signal processing module, wherein the fault signal receiving module is used for receiving a fault signal, and the fault signal is monitored by a D-PMU terminal of a micro phasor measurement device arranged in a power distribution network;
the terminal range determining module is used for determining the terminal range of the request fault recording data according to the fault signal and a preset fault recording calling group;
the time range determining module is used for determining the time range of the request fault recording data according to the fault signal and the related application requirements;
the request information determining module is used for determining fault recording data request information according to the time range;
and the request information issuing module is used for issuing the fault recording data request information according to the terminal range.
In one possible implementation, the apparatus further includes:
and the duplicate removal module is used for carrying out duplicate removal processing on the fault signal to obtain a duplicate removal result.
In a possible implementation manner, the request information issuing module is further configured to issue the fault recording data request information according to the terminal range and the duplicate removal result;
or, the terminal range determining module is further configured to:
and determining the terminal range of the fault recording data according to the duplicate removal result and a preset fault recording calling group.
In one possible implementation, the deduplication module includes:
the reference fault signal selecting unit is used for selecting a reference fault signal;
the repeated fault signal determination unit is used for determining a repeated fault signal according to preset conditions;
the duplicate removal unit is used for removing the repeated fault signals from the fault signals to obtain duplicate removal results;
wherein the preset conditions are as follows: the repeated fault signal and the reference fault signal correspond to the same fault recording calling group, and the difference value of the corresponding fault moments is smaller than a preset threshold value.
In one possible implementation, the apparatus further includes:
and the fault recording call group setting module is used for grouping the D-PMU terminals according to the topological structure information of the power distribution network to obtain the preset fault recording call group.
In one possible implementation, the apparatus further includes:
a fault recording data receiving module for receiving fault recording data sent by the D-PMU terminal in the terminal range,
the terminal range is a fault recording calling group, and the uploaded fault recording data is the fault recording data in the time range.
In one possible implementation, the apparatus further includes:
the storage module is used for storing the received fault recording data as a fault recording file;
and the notification module is used for notifying an executor of the related application to read the fault recording file.
According to another aspect of the present disclosure, a D-PMU fault recording data processing device for a power distribution network is provided, which includes: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to perform the above method.
According to another aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the above-described method.
In the embodiment of the disclosure, fault signals sent by a large number of D-PMU terminals are processed, the time range and the terminal range of fault recording calling are determined, and fault recording data calling, storage and application processing are selectively performed on the D-PMU terminals, so that the requirement of high-grade application on fault recording data is met, the transmission quantity of system network data can be effectively reduced, the burden of a system main station on storing and processing fault recording is reduced, and the method has important engineering application value.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows a flow chart of a D-PMU fault recording data processing method for a power distribution network according to an embodiment of the present disclosure;
fig. 2 shows a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure;
fig. 3 shows a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure;
fig. 4 shows a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure;
fig. 5 shows a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure;
fig. 6 shows a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure;
fig. 7 shows a block diagram of a D-PMU fault recording data processing device for a power distribution network according to an embodiment of the present disclosure;
fig. 8 shows a block diagram of an apparatus for D-PMU fault recording data processing for a power distribution network according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
D-PMU terminals have been deeply researched and applied in the field of power distribution network engineering; the D-PMU terminal can upload high-frequency real-time acquisition data and also has the functions of fault signal monitoring and fault wave recording data generation. And the D-WAMS main station (namely a system main station) can call and process fault recording data for the D-PMU terminal. The fault recording data has important reference and application values for high-level applications such as weak fault identification, fault diagnosis and fault positioning of the power distribution network.
In a large-scale power distribution network wide area measurement system, a large number of D-PMU terminals are accessed, each D-PMU terminal independently monitors fault signals and cannot directly communicate with other D-PMU terminals, so that a system main station receives repeated fault signals sent by the D-PMU terminals; the D-PMU terminal has the characteristics of micro size and low cost, has limited storage capacity and cannot store fault recording data in a large scale; the processing of fault signals and the calling, storage and application processing of a large amount of D-PMU terminal fault recording data need to be managed by a system master station in a unified way; this results in wasted transmission resources of the system network and increases the burden of calling the master station and processing the recording data.
Therefore, the technical scheme for processing the D-PMU fault recording data of the power distribution network meeting the requirements of advanced applications is provided, fault signals sent by a large number of D-PMU terminals are processed, the time range and the terminal range of fault recording calling are determined, and the D-PMU terminals are selectively called, stored and applied to process the fault recording data.
Fig. 1 shows a flowchart of a D-PMU fault recording data processing method for a power distribution network according to an embodiment of the present disclosure. As shown in fig. 1, the method is applied to a system master station, and may include:
and 105, issuing the fault wave recording data request information according to the terminal range.
Wherein, the related application requirements may include: the requirements of high-level applications such as weak fault identification, fault diagnosis and fault location of the power distribution network; the fault signal can be a fault signal monitored by each D-PMU terminal in a power distribution network wide area measurement system accessed by a large number of D-PMU terminals in real time. Therefore, the system main station determines the time range and the terminal range of the fault recording calling by combining the preset fault recording calling group, the related application requirements and the fault signals sent by the D-PMU terminals, and calls the fault recording data of the D-PMU terminals, so that the application requirements of high-level application on the fault recording data are met, the network data transmission quantity of the system is effectively reduced, and the burden of the system main station on storing and processing the fault recording is reduced.
In a possible implementation manner, before determining a terminal range requesting fault recording according to the fault signal and a preset fault recording call group, the method further includes: and grouping the D-PMU terminals according to the topological structure information of the power distribution network to obtain the preset fault recording call group.
Fig. 2 shows a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure, and as shown in fig. 2, based on the steps shown in fig. 1, the method further includes step 100: and grouping the D-PMU terminals according to the topological structure information of the power distribution network to obtain the preset fault recording call group. It should be noted that the fault recording call group may be set before the system master station determines the range of the terminal requesting fault recording, or before receiving the fault signal sent by the D-PMU terminal, which is not limited in this disclosure, and for example, the fault recording call group may be set before step 101 shown in fig. 1 (i.e., step 100).
In the embodiment of the disclosure, in a power distribution network wide area measurement system with a large number of D-PMU terminals, the relationship among the D-PMU terminals can be obtained according to the topology structure information (such as a power distribution network model) of the power distribution network, and a plurality of D-PMU terminals with the associated relationship are set as the same fault recording call group. For example, the D-PMU terminals may be divided according to the three-level configuration of a station, a feeder line, and a distribution station in the distribution network, for example, the D-PMU terminals belonging to the same feeder line may be set as the same fault recording call group, the D-PMU terminals belonging to the same station may be set as the same fault recording call group, and so on; furthermore, the division results can be optimized by combining the number of the D-PMU terminals contained in each fault recording calling group and the actual operation requirements, so that the final fault recording calling group is obtained.
For example, table 1 is a fault recording call group table, and as shown in table 1, it is assumed that the number of D-PMU terminals D connected to the wide area measurement system of the power distribution network is 800, which is denoted as D001 to D800. To achieve communication and load balancing, 8 front-end nodes F (e.g., main servers) are used to access the terminals, which are denoted as F1 to F8. It is assumed that each front node has access to 100 terminals (in practical applications, the number of terminals accessed by a single front node may be set according to requirements, which is not limited in this disclosure). Analyzing the incidence relation of the power distribution network model, dividing D001-D800 into three fault recording calling groups CG, and marking as CG 1-CG 3; and D-PMU terminals under each front node belong to the same fault recording calling group.
TABLE 1 Fault recording calling group table
In the step 101, the D-PMU terminals in the power distribution network monitor and send fault signals in real time, each D-PMU terminal independently monitors the fault signals, and when an operating fault occurs, the D-PMU terminals send the monitored fault signals to the system master station; and the system main station receives fault signals sent by the D-PMU terminals.
For example, table 2 is a fault signal monitoring table, as shown in table 2, the number of D-PMU terminals D connected to the system in the above example is still 800, and 8 front nodes F are used as an example, assuming that an operation fault occurs in the system, and the fault time monitored by the D-PMU terminals is denoted as TF; suppose that 15D-PMU terminals monitor the fault signal, namely the terminals D051-D060 and D151-D155; the front nodes F1 and F2 receive the fault signals sent by the respective D-PMU terminals, and the other front nodes (F3-F8) do not receive the fault signals.
TABLE 2 Fault SIGNAL MONITORING METER
In one possible implementation, the method further includes: and carrying out duplicate removal processing on the fault signal to obtain a duplicate removal result.
Fig. 3 shows a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure, and as shown in fig. 3, based on the steps shown in fig. 2, the method further includes step 101': and carrying out duplicate removal processing on the fault signal to obtain a duplicate removal result. It should be noted that, the system master station performs deduplication processing on the received fault signal, and may perform deduplication processing on the received fault signal before determining a terminal range requesting fault recording data, before determining a time range requesting fault recording data, and before issuing fault recording data request information, where a specific sequence may be set according to actual needs, which is not limited in this disclosure, and for example, the received fault signal may be subjected to deduplication processing after step 101 shown in fig. 2 (i.e., step 101').
In a possible implementation manner, in step 101', the obtaining a deduplication result by performing deduplication processing on the fault signal may include: selecting a reference fault signal; determining a repeated fault signal according to a preset condition; removing the repeated fault signals from the fault signals to obtain a duplicate removal result; wherein the preset conditions are as follows: the repeated fault signal and the reference fault signal correspond to the same fault recording calling group, and the difference value of the corresponding fault moments is smaller than a preset threshold value.
Considering that each D-PMU terminal independently monitors a fault signal, and may monitor the same fault signal and send the same fault signal to the system master station, in this embodiment of the disclosure, the system master station determines, according to a preset condition, whether the fault signal sent by each D-PMU terminal is a repeated fault signal generated by the same fault; and the repeated fault signals are filtered, and the repeated fault signals are removed, so that the transmission quantity of system network data is further reduced, and the burden of a system main station for storing and processing fault recording is reduced. Illustratively, if the fault signals sent by the terminals meet the following two conditions, the fault signals are judged to be repeated, and the D-PMU terminals sent by the fault signals under the condition I belong to the same fault recording calling group; and under the second condition, the difference between the fault moments TF in each fault signal is smaller than a repeated fault signal time determination threshold TM (i.e., a preset threshold), where TM may be 10ms, 50ms, 100ms, and the like, which is not limited by the present disclosure.
For example, table 3 shows a repetitive failure signal determination schematic table, as shown in table 3. Still taking the example that the number of D-PMU terminals D to which the system is accessed in the above example is 800, the repetitive failure signal time determination threshold TM is set to 100 milliseconds; d051 to D060 in total, and 15D-PMU terminals D151 to D155 send fault signals S which are respectively marked as S01 to S15; selecting a fault signal S01 sent by a terminal D051 as a reference fault signal (namely a first signal); judging whether other fault signals S02-S15 are repeated fault signals or not according to preset conditions; after the D-PMU terminals corresponding to the 15 fault signals are judged to belong to the fault recording calling group G1, the condition I is met, and meanwhile, the difference values between fault moments TF in the 15 fault signals are all smaller than 100 milliseconds, and the condition II is met, so that the fault signals S02-S15 are judged to be repeated fault signals; then, of the 15 received fault signals, duplicate fault signals S02 to S15 are removed, and a deduplication result (i.e., S01) is obtained.
TABLE 3 repeated trouble signal decision schematic table
In step 102, determining a terminal range for requesting fault recording data according to a fault signal sent by a D-PMU terminal and the preset fault recording call group; and the terminal range of each fault recording call is a D-PMU terminal in one fault recording call group.
And determining the terminal range of the fault recording data according to the fault signal sent by the D-PMU terminal and the preset fault recording group, wherein the terminal range of the fault recording data can be determined by which fault recording group the D-PMU terminal sending the fault signal belongs to and the fault recording group is used as the terminal range of the fault recording data.
In a possible implementation manner, in step 102, the determining, according to the fault signal and a preset fault recording call group, a terminal range of the fault recording data request may include: and determining the terminal range of the fault recording data according to the duplicate removal result and a preset fault recording calling group. For example, it may be determined which of the call groups for recording fault belongs to the duplicate removal result, and these call groups for recording fault are used as the terminal range for requesting the data for recording fault.
For example, table 4 shows a fault recording call range table, as shown in table 4, the number of D-PMU terminals D connected to the system in the above example is 800, and 8 front nodes F are used as an example, where the D-PMU terminals send fault signals as shown in table 2, and the fault recording call group is shown in table 1. The calling group which needs to be called by the fault recording is CG1 by combining the table 1 and the table 2; the calling range of the fault recording takes a calling group as a unit, the calling range of the fault recording corresponding to CG1 is D001-D300, and D-PMU terminals in CG2 and CG3 are not in the calling range, so that the terminal range of the fault recording data is D001-D300.
TABLE 4 WATCH RECORDING CALLING RANGE TABLE FOR FAULT
In step 103, the system master station obtains a time range of calling the fault recording (namely, requesting fault recording data) by overlapping time ranges required by the high-level applications for the fault recording according to the fault time in the received fault signal; the time range of the fault recording call is a period of time before and after the fault moment TF. The overlapping of the required time ranges of the high-level applications for fault recording may be performed by using the minimum value of the lower limits and the maximum value of the upper limits of the required time ranges of the high-level applications for fault recording as the upper limit and the lower limit of the obtained time ranges.
For example, three advanced applications (marked as a 1-A3) need to use fault recording data to analyze the requirement of each advanced application on fault recording, and the requirement time range of the application a1 is marked as [ TSA1, TEA1], TSA1 and TEA1 represent the starting time and the ending time of the requirement of the advanced application a1 on fault recording respectively; accordingly, A2 is designated as [ TSA2, TEA2], A3 is designated as [ TSA3, TEA3 ]. Recording the starting time of the fault recording calling as TSC and recording the ending time as TEC; then: the time range TRC of the calling of the fault record is obtained by obtaining the time range TRC of the calling of the fault record as min { TSA1, TSA2, TSA3}, and TEC as max { TEA1, TEA2, TEA3 }: [ min { TSA1, TSA2, TSA3}, max { TEA1, TEA2, TEA3} ], illustratively, a fault logging call time range may be defined as 5 seconds before the fault time to 3 seconds after the fault time. Furthermore, the time range can be encapsulated in the fault recording data request information, so that the D-PMU terminal can upload the fault recording in the corresponding time range.
In a possible implementation manner, in step 105, the issuing the fault recording data request information according to the terminal range may include: and issuing the fault recording data request information according to the terminal range and the duplicate removal result.
In the embodiment of the disclosure, the system main station can issue a fault recording calling command to all the D-PMU terminals within the range of the fault recording calling terminal through the preposed node to call the fault recording; meanwhile, according to the duplicate removal result, the system main station only calls fault recording within a range once for repeated fault signals, so that the transmission quantity of system network data is effectively reduced, and the burden of the system main station on storing and processing fault recording is reduced.
For example, taking the fault recording call range shown in table 4 and the fault recording call time range TRC obtained in step 103 as an example, the system master 3 front nodes F1 to F3 issue fault call commands (i.e., fault recording data request information) to the D-PMU terminals D001 to D300 through a command pipeline, where the call commands include the fault recording call time range TRC (from 5 seconds before to 3 seconds after the fault time).
In one possible implementation, the method further includes: and receiving fault recording data uploaded by a D-PMU terminal within the terminal range, wherein the terminal range is a fault recording calling group, and the uploaded fault recording data is the fault recording data within the time range.
Fig. 4 is a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure, and as shown in fig. 4, based on the steps shown in fig. 3, the method further includes step 106 of receiving fault recording data sent by D-PMU terminals within the range of the terminals;
in the embodiment of the disclosure, after receiving a calling command, each D-PMU terminal intercepts fault recording data within a calling time range of a system main station and uploads the fault recording data to a front node of the system main station; and the system main station receives the uploaded fault recording data.
For example, in step 105, as long as the system master 3 front nodes F1 to F3 issue the fault call command to the D-PMU terminals D001 to D300 through the command pipeline, after receiving the call command, the D-PMU terminals D001 to D300 intercept the fault record data stored inside each terminal from 5 seconds before the fault time TF to 3 seconds after the fault time TF, and send the fault record data to the system master front nodes F1 to F3, and the system master receives the fault record data sent by the D-PMU terminals.
In one possible implementation, the method further includes: storing the received fault recording data as a fault recording file; and informing related applications to read the fault recording file.
Fig. 5 is a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure, and as shown in fig. 5, based on the steps shown in fig. 4, the method further includes step 107 of storing the received fault recording data as a fault recording file; and informing an executor of the related application to read the fault recording file.
In the embodiment of the disclosure, after receiving fault recording data sent by each D-PMU terminal, a front node of a system main station converts the fault recording data into a standard fault recording file for storage; and then the executor of the relevant application (for example, the relevant function module or device executing the relevant application can read and analyze the fault recording data in the fault recording file, and use the analyzed fault recording data to complete the functions of the advanced applications such as weak fault identification, fault diagnosis, fault location and the like of the power distribution network.
For example, table 5 shows a storage list of fault recording files, and as shown in table 5, 3 front nodes F1 to F3 in the system main station receive fault recording data sent from the D-PMU terminals D001 to D300, convert the fault recording data into standard fault recording files, and the front nodes perform local file storage on the fault recording files. The fault recording file naming rule is D-PM terminal address information ID + fault moment TF + file types (cfg and dat); for example, the fault moment TF is 20190903180531, and the fault wave recording data sent by the D-PMU terminal D001 is converted into standard fault wave recording files 001_ 201903180531 531 and 001_ 201903180531 dat.
Table 5 fault recording file storage list
After the local storage is completed, the system master station synchronizes the standard fault recording file to the disk storage device of the main service node (according to the hardware configuration condition of the project, the disk storage device of the main service node can be a large-capacity storage device such as a disk array). After the storage of the fault recording file and the synchronization of the main service node are completed, the system main station can send a notification message to the relevant functional module or device, and the relevant functional module or device reads and applies the fault recording data to realize the application of the D-PMU fault recording data in the power distribution network.
Fig. 6 shows a flowchart of another method for processing D-PMU fault recording data of a power distribution network according to an embodiment of the present disclosure. As shown in fig. 6, the method may include:
and step 200, setting a fault recording calling group. In a power distribution network wide area measurement system with a large number of D-PMU terminals, setting a plurality of D-PMU terminals with incidence relations on a power distribution network model as a fault recording call group; the terminal range of each fault recording call is a D-PMU terminal in a fault recording call group.
And step 201, monitoring and sending a fault signal by the D-PMU terminal. And each D-PMU terminal independently monitors a fault signal, and when an operation fault occurs, the D-PMU terminal sends the monitored fault signal to the system main station.
And step 203, determining a fault recording calling time range. And acquiring a fault recording calling time range by overlapping the time range of the high-level application required for the fault recording.
And step 205, issuing a calling fault recording command. And the preposed node of the system main station sends fault recording calling commands to all D-PMU terminals within the fault recording calling range to call the fault recording.
And step 206, sending fault record to the D-PMU terminal. And each D-PMU terminal receiving the calling command intercepts fault recording data within the calling time range of the system main station and uploads the fault recording data to a front node of the system main station.
And step 207, receiving, storing and applying fault recording data. A front node in a system main station receives fault recording data sent by a D-PMU terminal, converts the fault recording data into a standard fault recording file for storage and synchronization of a main service node, and informs a relevant function module or a device executing relevant application to read the fault recording file; and the related function module or device reads and analyzes the fault recording data in the fault recording file, and the analyzed fault recording data is used for finishing related advanced application functions such as weak fault identification, fault diagnosis, fault positioning and the like.
It should be noted that, although the foregoing embodiments are described as examples of the D-PMU fault recording data processing method for the power distribution network, those skilled in the art will understand that the disclosure should not be limited thereto. In fact, the user can flexibly set each implementation mode according to personal preference and/or actual application scene, as long as the technical scheme of the disclosure is met.
Therefore, in the embodiment of the disclosure, the fault signals sent by a large number of D-PMU terminals are judged and filtered, the time range and the terminal range of fault recording calling are determined, and fault recording data calling, storage and application processing are selectively performed on the D-PMU terminals, so that the requirement of high-level application on the fault recording data is met, the transmission quantity of system network data can be effectively reduced, the burden of a system master station on storing and processing the fault recording is reduced, and the method has important engineering application value.
Fig. 7 shows a block diagram of a D-PMU fault recording data processing device for a power distribution network according to an embodiment of the present disclosure; as shown in fig. 7, the apparatus may include: a fault signal receiving module 41, configured to receive a fault signal, where the fault signal is monitored by a D-PMU terminal of a micro phasor measurement device disposed in a power distribution network; a terminal range determining module 42, configured to determine a terminal range of the request for the fault recording data according to the fault signal and a preset fault recording call group; a time range determining module 43, configured to determine a time range for requesting fault recording data according to the fault signal and a related application requirement; a request information determining module 44, configured to determine fault recording data request information according to the time range; and the request information issuing module 45 is configured to issue the fault recording data request information according to the terminal range.
In one possible implementation, the apparatus further includes: and the duplicate removal module is used for carrying out duplicate removal processing on the fault signal to obtain a duplicate removal result.
In a possible implementation manner, the request information issuing module is further configured to issue the fault recording data request information according to the terminal range and the duplicate removal result; or, the terminal range determining module is further configured to: and determining the terminal range of the fault recording data according to the duplicate removal result and a preset fault recording calling group.
In one possible implementation, the deduplication module includes: the reference fault signal selecting unit is used for selecting a reference fault signal; the repeated fault signal determination unit is used for determining a repeated fault signal according to preset conditions; the duplicate removal unit is used for removing the repeated fault signals from the fault signals to obtain duplicate removal results; wherein the preset conditions are as follows: the repeated fault signal and the reference fault signal correspond to the same fault recording calling group, and the difference value of the corresponding fault moments is smaller than a preset threshold value.
In one possible implementation, the apparatus further includes: and the fault recording call group setting module is used for grouping the D-PMU terminals according to the topological structure information of the power distribution network to obtain the preset fault recording call group.
In one possible implementation, the apparatus further includes: the fault recording data receiving module is used for receiving fault recording data sent by a D-PMU terminal within the terminal range; the terminal range is a fault recording calling group, and the uploaded fault recording data is the fault recording data in the time range.
In one possible implementation, the apparatus further includes: the storage module is used for storing the received fault recording data as a fault recording file; and the notification module is used for notifying related applications to read the fault recording file.
It should be noted that, although the foregoing embodiments are described as examples of the D-PMU fault recording data processing device for a power distribution network, those skilled in the art will understand that the disclosure should not be limited thereto. In fact, the user can flexibly set each implementation mode according to personal preference and/or actual application scene, as long as the technical scheme of the disclosure is met.
Therefore, in the embodiment of the disclosure, the fault signals sent by a large number of D-PMU terminals are judged and filtered, the time range and the terminal range of fault recording calling are determined, and fault recording data calling, storage and application processing are selectively performed on the D-PMU terminals, so that the requirement of high-level application on the fault recording data is met, the transmission quantity of system network data can be effectively reduced, the burden of a system master station on storing and processing the fault recording is reduced, and the method has important engineering application value.
Fig. 8 shows a block diagram of an apparatus 1900 for D-PMU fault recording data processing for a power distribution network according to an embodiment of the present disclosure. For example, the apparatus 1900 may be provided as a server. Referring to FIG. 8, the device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, MacOS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the apparatus 1900 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (10)
1. A power distribution network D-PMU fault recording data processing method is characterized by comprising the following steps:
receiving a fault signal, wherein the fault signal is monitored by a D-PMU terminal of a micro phasor measurement device arranged in a power distribution network;
determining a terminal range of the fault recording data according to the fault signal and a preset fault recording calling group;
determining a time range for requesting fault recording data according to the fault signal and related application requirements;
determining fault recording data request information according to the time range;
and issuing the fault recording data request information according to the terminal range.
2. The method of claim 1, further comprising:
and carrying out duplicate removal processing on the fault signal to obtain a duplicate removal result.
3. The method according to claim 2, wherein the issuing the fault recording data request message according to the terminal range includes:
issuing the fault recording data request information according to the terminal range and the duplicate removal result;
or,
the determining the terminal range of the request fault recording data according to the fault signal and a preset fault recording calling group comprises:
and determining the terminal range of the fault recording data according to the duplicate removal result and a preset fault recording calling group.
4. The method according to claim 2 or 3, wherein the obtaining of the duplicate removal result by performing the duplicate removal processing on the fault signal comprises:
selecting a reference fault signal;
determining a repeated fault signal according to a preset condition;
removing the repeated fault signals from the fault signals to obtain a duplicate removal result;
wherein the preset conditions are as follows: the repeated fault signal and the reference fault signal correspond to the same fault recording calling group, and the difference value of the corresponding fault moments is smaller than a preset threshold value.
5. The method according to claim 1, wherein before determining the range of the terminal requesting fault recording according to the fault signal and a preset fault recording calling group, the method further comprises:
and grouping the D-PMU terminals according to the topological structure information of the power distribution network to obtain the preset fault recording call group.
6. The method of claim 1, further comprising:
receiving fault recording data sent by a D-PMU terminal within the range of the terminal,
the terminal range is a fault recording calling group, and the uploaded fault recording data is the fault recording data in the time range.
7. The method of claim 6, further comprising:
storing the received fault recording data as a fault recording file;
and informing an executor of the related application to read the fault recording file.
8. The utility model provides a distribution network D-PMU trouble record ripples data processing apparatus which characterized in that includes:
the system comprises a fault signal receiving module, a fault signal processing module and a fault signal processing module, wherein the fault signal receiving module is used for receiving a fault signal, and the fault signal is monitored by a D-PMU terminal of a micro phasor measurement device arranged in a power distribution network;
the terminal range determining module is used for determining the terminal range of the request fault recording data according to the fault signal and a preset fault recording calling group;
the time range determining module is used for determining the time range of the request fault recording data according to the fault signal and the related application requirements;
the request information determining module is used for determining fault recording data request information according to the time range;
and the request information issuing module is used for issuing the fault recording data request information according to the terminal range.
9. The utility model provides a distribution network D-PMU trouble record ripples data processing apparatus which characterized in that includes:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to implement the method of any one of claim 1 to claim 7 when executing the memory-stored executable instructions.
10. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010074689.8A CN111273127B (en) | 2020-01-22 | 2020-01-22 | Method and device for processing D-PMU fault wave recording data of power distribution network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010074689.8A CN111273127B (en) | 2020-01-22 | 2020-01-22 | Method and device for processing D-PMU fault wave recording data of power distribution network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111273127A true CN111273127A (en) | 2020-06-12 |
| CN111273127B CN111273127B (en) | 2023-02-17 |
Family
ID=70996896
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010074689.8A Active CN111273127B (en) | 2020-01-22 | 2020-01-22 | Method and device for processing D-PMU fault wave recording data of power distribution network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111273127B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112039073A (en) * | 2020-09-18 | 2020-12-04 | 上海交通大学烟台信息技术研究院 | Collaborative optimization method and system suitable for fault judgment of power distribution room equipment |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004288370A (en) * | 2004-07-09 | 2004-10-14 | Matsushita Electric Ind Co Ltd | Magnetic recording and reproducing device for digital signal |
| CN101588086A (en) * | 2009-07-07 | 2009-11-25 | 北京四方继保自动化股份有限公司 | Method for processing recording file of multiple-plug-in component embedded type fault information system substation |
| CN103501047A (en) * | 2013-10-09 | 2014-01-08 | 云南电力调度控制中心 | Intelligent fault wave recording main station information management system |
| CN106556766A (en) * | 2016-10-11 | 2017-04-05 | 国网上海市电力公司 | A kind of distribution network failure monitoring system based on distribution line multidate information |
| CN107144760A (en) * | 2016-12-31 | 2017-09-08 | 国电南瑞科技股份有限公司 | It is a kind of to support electric network fault to perceive panorama Wave record method and plateform system with analysis |
| CN107607805A (en) * | 2017-07-31 | 2018-01-19 | 国网山东省电力公司电力科学研究院 | A kind of distribution overhead line synchronous phasor measurement and operational monitoring terminal and method |
| CN108120900A (en) * | 2017-12-22 | 2018-06-05 | 北京映翰通网络技术股份有限公司 | A kind of electrical power distribution network fault location method and system |
| CN208580159U (en) * | 2018-06-06 | 2019-03-05 | 广州耐奇电气科技有限公司 | A kind of power information acquisition terminal based on exchange recording |
| CN110019450A (en) * | 2017-09-27 | 2019-07-16 | 许昌许继软件技术有限公司 | A kind of choosing of recorder data is deposited and upper delivery method and system |
| CN110187221A (en) * | 2019-05-24 | 2019-08-30 | 山东大学 | The miniature PMU failure wave-recording Synergistic method of power distribution network and system based on block chain |
| CN110380512A (en) * | 2019-06-26 | 2019-10-25 | 国电南瑞科技股份有限公司 | The intelligent distribution network coordinated control system and method for the information containing synchronized phasor |
-
2020
- 2020-01-22 CN CN202010074689.8A patent/CN111273127B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004288370A (en) * | 2004-07-09 | 2004-10-14 | Matsushita Electric Ind Co Ltd | Magnetic recording and reproducing device for digital signal |
| CN101588086A (en) * | 2009-07-07 | 2009-11-25 | 北京四方继保自动化股份有限公司 | Method for processing recording file of multiple-plug-in component embedded type fault information system substation |
| CN103501047A (en) * | 2013-10-09 | 2014-01-08 | 云南电力调度控制中心 | Intelligent fault wave recording main station information management system |
| CN106556766A (en) * | 2016-10-11 | 2017-04-05 | 国网上海市电力公司 | A kind of distribution network failure monitoring system based on distribution line multidate information |
| CN107144760A (en) * | 2016-12-31 | 2017-09-08 | 国电南瑞科技股份有限公司 | It is a kind of to support electric network fault to perceive panorama Wave record method and plateform system with analysis |
| CN107607805A (en) * | 2017-07-31 | 2018-01-19 | 国网山东省电力公司电力科学研究院 | A kind of distribution overhead line synchronous phasor measurement and operational monitoring terminal and method |
| CN110019450A (en) * | 2017-09-27 | 2019-07-16 | 许昌许继软件技术有限公司 | A kind of choosing of recorder data is deposited and upper delivery method and system |
| CN108120900A (en) * | 2017-12-22 | 2018-06-05 | 北京映翰通网络技术股份有限公司 | A kind of electrical power distribution network fault location method and system |
| CN208580159U (en) * | 2018-06-06 | 2019-03-05 | 广州耐奇电气科技有限公司 | A kind of power information acquisition terminal based on exchange recording |
| CN110187221A (en) * | 2019-05-24 | 2019-08-30 | 山东大学 | The miniature PMU failure wave-recording Synergistic method of power distribution network and system based on block chain |
| CN110380512A (en) * | 2019-06-26 | 2019-10-25 | 国电南瑞科技股份有限公司 | The intelligent distribution network coordinated control system and method for the information containing synchronized phasor |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112039073A (en) * | 2020-09-18 | 2020-12-04 | 上海交通大学烟台信息技术研究院 | Collaborative optimization method and system suitable for fault judgment of power distribution room equipment |
| CN112039073B (en) * | 2020-09-18 | 2024-04-19 | 上海交通大学烟台信息技术研究院 | Collaborative optimization method and system suitable for fault judgment of power distribution room equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111273127B (en) | 2023-02-17 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108170538B (en) | Information processing method and device and electronic equipment | |
| CN111277395B (en) | Method and device for determining path loss reference signal | |
| CN111666217B (en) | Method and apparatus for testing code | |
| CN110737726B (en) | Method and device for determining test data of interface to be tested | |
| CN110727560A (en) | Cloud service alarm method and device | |
| CN113703363B (en) | Plug-and-play method of intelligent edge computing gateway in power dispatching cloud | |
| CN105573819A (en) | Method for obtaining disk capacity information of virtual machine directly through host machine | |
| CN111273127B (en) | Method and device for processing D-PMU fault wave recording data of power distribution network | |
| CN111435227A (en) | Smart home equipment testing method, device, equipment and medium | |
| CN105607606A (en) | Data acquisition device and data acquisition method based on double-mainboard framework | |
| CN108920377B (en) | Log playback test method, system and device and readable storage medium | |
| CN112256503B (en) | Test report generation method, device, equipment and computer readable storage medium | |
| CN101971562B (en) | Method, device and system for controlling automatic running process performance | |
| CN110855003A (en) | Method and device for calling and comparing self-adaptive configuration of main station | |
| CN115766680A (en) | Data transmission system and method for edge acquisition based on remote procedure call framework | |
| CN105721959A (en) | Management platform, system and method for implementing optical transport network (OTN) business | |
| CN116781717A (en) | Method and system for synchronizing hybrid cloud data | |
| CN114049065A (en) | Data processing method, device and system | |
| CN109271310B (en) | Development testing method and device for network function of mobile application program | |
| CN114070889A (en) | Configuration method, traffic forwarding method, device, storage medium, and program product | |
| CN113079055A (en) | Method and device for dynamically acquiring AGV (automatic guided vehicle) running data | |
| CN111835558A (en) | Edge cloud platform multi-resource visual control method | |
| CN112953810A (en) | Network request processing method and device | |
| CN109388536B (en) | Data collection method and device | |
| CN111258879A (en) | Service test scheduling method and device based on page acquisition and intelligent terminal |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |