CN113922357B - Power grid line trunk analysis method and terminal - Google Patents

Power grid line trunk analysis method and terminal Download PDF

Info

Publication number
CN113922357B
CN113922357B CN202110988092.9A CN202110988092A CN113922357B CN 113922357 B CN113922357 B CN 113922357B CN 202110988092 A CN202110988092 A CN 202110988092A CN 113922357 B CN113922357 B CN 113922357B
Authority
CN
China
Prior art keywords
line
data set
power grid
trunk
updated
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.)
Active
Application number
CN202110988092.9A
Other languages
Chinese (zh)
Other versions
CN113922357A (en
Inventor
郑洁云
宣菊琴
张林垚
倪识远
吴桂联
陈浩
林婷婷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Fujian Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Fujian Electric Power Co Ltd
Original Assignee
State Grid Fujian Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Fujian Electric Power Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by State Grid Fujian Electric Power Co Ltd, Economic and Technological Research Institute of State Grid Fujian Electric Power Co Ltd filed Critical State Grid Fujian Electric Power Co Ltd
Priority to CN202110988092.9A priority Critical patent/CN113922357B/en
Publication of CN113922357A publication Critical patent/CN113922357A/en
Application granted granted Critical
Publication of CN113922357B publication Critical patent/CN113922357B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Tourism & Hospitality (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Water Supply & Treatment (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Power Engineering (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a method and a terminal for analyzing a main line of a power grid line, wherein if a tie switch in the power grid line is identified, a main data set is formed from line segments from an outlet switch to all tie switches in the power grid line, otherwise, a main data set is formed from line segments from the outlet switch to the farthest user in the power grid line, and the main data set of the line can be obtained by means of the tie switch; the line segments of the trunk data set, which are linked to a preset power distribution station room, are reserved, so that the terminal power supply line segments in the trunk data set can be removed conveniently; the flow threshold is set according to the maximum current-carrying capacity of each line segment of the updated main data set, the line segments of the updated main data set are screened through the flow threshold to obtain a final main data set, and therefore the main data set is filtered and updated by combining a contact switch, a preset power distribution station room and the flow threshold, the main can be rapidly analyzed, and the main identification efficiency of the power grid distribution line is improved.

Description

Power grid line trunk analysis method and terminal
Technical Field
The invention relates to the technical field of power grid trunk identification, in particular to a power grid line trunk analysis method and a terminal.
Background
At present, the complexity of the power distribution network lines is higher and the interleaving degree is higher and denser, so that the main line is difficult to analyze, and the current situation analysis of the main line of the medium-voltage power distribution network lines is more difficult to support, for example: trunk length, trunk supply radius, trunk section, model, etc.
The invention discloses a branch line analysis method based on a medium-voltage main line in a distribution network running state, which has the application number of 202011212860.3: based on the quality of the current medium voltage configuration model, basic analysis data are enriched by introducing feeder automation data and operation ticket data to be combined, remote signaling deflection information caused by faults, overhauling, transferring and the like is recovered, the switching-off weight on each power supply path is calculated, contact equipment is judged again, and a trunk/branch line topology path is analyzed. However, due to the improvement of the complexity of the distribution network, the identification efficiency of the trunk of the distribution network is lower.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: the utility model provides a power grid line trunk analysis method and terminal, which can improve the trunk identification efficiency of a power grid distribution line.
In order to solve the technical problems, the invention adopts the following technical scheme:
a power grid line trunk analysis method comprises the following steps:
judging whether a tie switch in a power grid line is identified, if so, forming a main data set from the line segments from an outlet switch to all the tie switches, otherwise, forming a main data set from the line segments from the outlet switch to the farthest user, wherein the main data set comprises a plurality of main lines, and the main lines comprise a plurality of line segments;
the line segments connected to a preset power distribution station room in the trunk data set are reserved, and the updated trunk data set is obtained;
and setting a flow threshold according to the maximum current-carrying capacity of each line segment of the updated main data set, and screening the line segments of the updated main data set through the flow threshold to obtain a final main data set.
In order to solve the technical problems, the invention adopts another technical scheme that:
a power grid line backbone analysis terminal comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
judging whether a tie switch in a power grid line is identified, if so, forming a main data set from the line segments from an outlet switch to all the tie switches, otherwise, forming a main data set from the line segments from the outlet switch to the farthest user, wherein the main data set comprises a plurality of main lines, and the main lines comprise a plurality of line segments;
the line segments connected to a preset power distribution station room in the trunk data set are reserved, and the updated trunk data set is obtained;
and setting a flow threshold according to the maximum current-carrying capacity of each line segment of the updated main data set, and screening the line segments of the updated main data set through the flow threshold to obtain a final main data set.
The invention has the beneficial effects that: if the tie switches in the power grid line are identified, the line segments from the outlet switches in the power grid line to all the tie switches form a main data set, otherwise, the line segments from the outlet switches in the power grid line to the farthest users form the main data set, and the main data set of the line can be obtained by means of the tie switches; the line segments connected to a preset power distribution station room in the trunk data set are reserved, so that the terminal power supply line segments in the trunk data set can be removed conveniently; the flow threshold is set according to the maximum current-carrying capacity of each line segment of the updated main data set, the line segments of the updated main data set are screened through the flow threshold to obtain a final main data set, and therefore the main data set is filtered and updated by combining a contact switch, a preset power distribution station room and the flow threshold, the main can be rapidly analyzed, and the main identification efficiency of the power grid distribution line is improved.
Drawings
Fig. 1 is a flowchart of a method for analyzing a backbone of a power grid line according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a power grid line trunk analysis terminal according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps of a method for analyzing a backbone of a power grid line according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of a method for analyzing a backbone of a power grid line according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a method for analyzing a backbone of a power grid line according to an embodiment of the present invention, including two or more tie switches;
fig. 6 is a schematic diagram of a method for analyzing a backbone of a power grid line without a tie switch according to an embodiment of the present invention;
fig. 7 is a comparison diagram of the main analysis method of the power grid line according to the embodiment of the invention.
Detailed Description
In order to describe the technical contents, the achieved objects and effects of the present invention in detail, the following description will be made with reference to the embodiments in conjunction with the accompanying drawings.
Referring to fig. 1 and fig. 3 to fig. 7, an embodiment of the present invention provides a method for analyzing a backbone of a power grid line, including the steps of:
judging whether tie switches in a power grid line are identified, if so, forming a trunk data set based on the power grid topology according to the line segments from the outlet switches in the power grid line to all the tie switches, otherwise, forming the trunk data set based on the power grid topology according to the line segments from the outlet switches in the power grid line to the farthest users, wherein the trunk data set comprises a plurality of trunks, and the trunks comprise a plurality of line segments;
the line segments connected to a preset power distribution station room in the trunk data set are reserved, and the updated trunk data set is obtained;
and setting a flow threshold according to the maximum current-carrying capacity of each line segment of the updated main data set, and screening the line segments of the updated main data set through the flow threshold to obtain a final main data set.
From the above description, the beneficial effects of the invention are as follows: if the tie switches in the power grid line are identified, the line segments from the outlet switches in the power grid line to all the tie switches form a main data set, otherwise, the line segments from the outlet switches in the power grid line to the farthest users form the main data set, and the main data set of the line can be obtained by means of the tie switches; the line segments connected to a preset power distribution station room in the trunk data set are reserved, so that the terminal power supply line segments in the trunk data set can be removed conveniently; the flow threshold is set according to the maximum current-carrying capacity of each line segment of the updated main data set, the line segments of the updated main data set are screened through the flow threshold to obtain a final main data set, and therefore the main data set is filtered and updated by combining a contact switch, a preset power distribution station room and the flow threshold, the main can be rapidly analyzed, and the main identification efficiency of the power grid distribution line is improved.
Further, forming a backbone data set from segments of the grid line from the outlet switch to all of the tie switches includes:
taking a wire segment and a cable segment of the power grid line from an outlet switch to each interconnection switch as a trunk based on a power grid topology, and forming a trunk data set by all the trunks;
forming a line segment of the grid line from an outlet switch to a furthest subscriber into a backbone data set includes:
and taking a wire segment and a cable segment of the power grid line from an outlet switch to the furthest user as a backbone based on the power grid topology, and forming a backbone data set.
As can be seen from the above description, when the tie switches are identified, the line segments from the outlet switch to the trunk of each tie switch form a trunk data set based on the tie switches based on the power grid topology; when the tie switch is not identified, the line segments in the trunk of the farthest user are switched to form a trunk data set based on the power grid topology, so that the trunk data are analyzed and selected by means of the power grid topology, and the recognition efficiency of the power grid distribution line trunk can be improved.
Further, reserving a line segment connected to a preset substation room in the trunk data set, and obtaining the updated trunk data set includes:
analyzing the starting point of each line segment in the trunk data set;
and reserving line segments connected to a switching station or a ring main unit in the trunk data set to obtain the updated trunk data set.
As can be seen from the above description, the line formed by connecting the switch station and the ring main unit at the feeder line is taken as a reference, the main line segments connected to the switch station and the ring main unit are reserved, and the line segments in the rest main data sets are removed, so that the main data sets are further updated.
Further, the setting a flow threshold according to the maximum current carrying capacity of each line segment of the updated backbone data set, and the filtering the line segment of the updated backbone data set through the flow threshold includes:
obtaining the maximum current-carrying capacity of each line segment of the updated main data set, and searching the maximum current-carrying capacity corresponding to the first line segment of the power grid line outgoing line;
setting a flow threshold according to the maximum current-carrying capacity corresponding to the first section line segment of the power grid line outgoing line;
and if the maximum current-carrying capacity of the line segment of the updated trunk data set is smaller than the flow threshold, the line segment is taken as a branch line and is removed from the trunk data set, and otherwise, the line segment is reserved.
The above description shows that, with the maximum current-carrying capacity attribute of each line segment as a reference, the flow threshold is determined according to the maximum current-carrying capacity value of the first line segment of the outlet line of the power grid line, and then the line segments are selected segment by segment according to the flow threshold, thereby improving the backbone recognition efficiency of the power grid power distribution line.
Further, the determining whether the tie switch in the power grid line is identified includes:
acquiring power grid line data;
and acquiring all the switching equipment data in the power grid line data, and if the attribute of the switching equipment is normally open, the switching equipment is a tie switch.
From the above description, it can be seen that by acquiring all the switching device data in the power grid line data and determining whether the switching device is a tie switch according to the attribute of the switching device, the subsequent analysis of the line ordered trunk trend based on the electrical state of the switching device can be facilitated.
Referring to fig. 2, another embodiment of the present invention provides a power grid line trunk analysis terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:
judging whether a tie switch in a power grid line is identified, if so, forming a main data set from the line segments from an outlet switch to all the tie switches, otherwise, forming a main data set from the line segments from the outlet switch to the farthest user, wherein the main data set comprises a plurality of main lines, and the main lines comprise a plurality of line segments;
the line segments connected to a preset power distribution station room in the trunk data set are reserved, and the updated trunk data set is obtained;
and setting a flow threshold according to the maximum current-carrying capacity of each line segment of the updated main data set, and screening the line segments of the updated main data set through the flow threshold to obtain a final main data set.
As can be seen from the above description, if the tie switches in the power grid line are identified, the line segments from the outlet switch to all tie switches in the power grid line form a trunk data set, otherwise, the line segments from the outlet switch to the farthest user in the power grid line form a trunk data set, and the trunk data set of the line can be obtained by means of the tie switches; the line segments connected to a preset power distribution station room in the trunk data set are reserved, so that the terminal power supply line segments in the trunk data set can be removed conveniently; the flow threshold is set according to the maximum current-carrying capacity of each line segment of the updated main data set, the line segments of the updated main data set are screened through the flow threshold to obtain a final main data set, and therefore the main data set is filtered and updated by combining a contact switch, a preset power distribution station room and the flow threshold, the main can be rapidly analyzed, and the main identification efficiency of the power grid distribution line is improved.
Further, forming a backbone data set from segments of the grid line from the outlet switch to all of the tie switches includes:
taking a wire segment and a cable segment of the power grid line from an outlet switch to each interconnection switch as a trunk based on a power grid topology, and forming a trunk data set by all the trunks;
forming a line segment of the grid line from an outlet switch to a furthest subscriber into a backbone data set includes:
and taking a wire segment and a cable segment of the power grid line from an outlet switch to the furthest user as a backbone based on the power grid topology, and forming a backbone data set.
As can be seen from the above description, when the tie switches are identified, the line segments from the outlet switch to the trunk of each tie switch form a trunk data set based on the tie switches based on the power grid topology; when the tie switch is not identified, the line segments in the trunk of the farthest user are switched to form a trunk data set based on the power grid topology, so that the trunk data are analyzed and selected by means of the power grid topology, and the recognition efficiency of the power grid distribution line trunk can be improved.
Further, reserving a line segment connected to a preset substation room in the trunk data set, and obtaining the updated trunk data set includes:
analyzing the starting point of each line segment in the trunk data set;
and reserving line segments connected to a switching station or a ring main unit in the trunk data set to obtain the updated trunk data set.
As can be seen from the above description, the line formed by connecting the switch station and the ring main unit at the feeder line is taken as a reference, the main line segments connected to the switch station and the ring main unit are reserved, and the line segments in the rest main data sets are removed, so that the main data sets are further updated.
Further, the setting a flow threshold according to the maximum current carrying capacity of each line segment of the updated backbone data set, and the filtering the line segment of the updated backbone data set through the flow threshold includes:
obtaining the maximum current-carrying capacity of each line segment of the updated main data set, and searching the maximum current-carrying capacity corresponding to the first line segment of the power grid line outgoing line;
setting a flow threshold according to the maximum current-carrying capacity corresponding to the first section line segment of the power grid line outgoing line;
and if the maximum current-carrying capacity of the line segment of the updated trunk data set is smaller than the flow threshold, the line segment is taken as a branch line and is removed from the trunk data set, and otherwise, the line segment is reserved.
The above description shows that, with the maximum current-carrying capacity attribute of each line segment as a reference, the flow threshold is determined according to the maximum current-carrying capacity value of the first line segment of the outlet line of the power grid line, and then the line segments are selected segment by segment according to the flow threshold, thereby improving the backbone recognition efficiency of the power grid power distribution line.
Further, the determining whether the tie switch in the power grid line is identified includes:
acquiring power grid line data;
and acquiring all the switching equipment data in the power grid line data, and if the attribute of the switching equipment is normally open, the switching equipment is a tie switch.
From the above description, it can be seen that by acquiring all the switching device data in the power grid line data and determining whether the switching device is a tie switch according to the attribute of the switching device, the subsequent analysis of the line ordered trunk trend based on the electrical state of the switching device can be facilitated.
The method and the terminal for analyzing the main trunk of the power grid line are suitable for analyzing the main trunk of the medium-voltage power distribution network line based on the power grid topology, and improve the main trunk identification efficiency of the power grid power distribution line, and are described by the following specific embodiments:
example 1
Referring to fig. 1, 3 to 7, a method for analyzing a backbone of a power grid line includes the steps of:
s1, judging whether a tie switch in a power grid line is identified, if so, forming a trunk data set from the line segment from an outlet switch to all the tie switches, otherwise, forming a trunk data set from the line segment from the outlet switch to the farthest user, wherein the trunk data set comprises a plurality of trunks, and the trunks comprise a plurality of line segments.
Wherein, before judging whether the tie switch in the power grid line is identified, the method comprises the following steps:
acquiring power grid line data;
and acquiring all the switching equipment data in the power grid line data, and if the attribute of the switching equipment is normally open, the switching equipment is a tie switch.
Specifically, referring to fig. 3, in this embodiment, line data of a medium voltage distribution network is obtained from a PMS2.0 system, all switchgear data under the line of the medium voltage distribution network is obtained, an attribute of a contact switch set on a current power grid by a power grid operation and inspection department is taken as a reference, a switch with a normally open attribute is determined to be a contact switch, and an ordered trunk trend of the line is analyzed by combining with an electrical state of a switching-off device based on a power grid topology network. The interconnection switch attribute is taken from a PMS2.0 system and comprises normally open switch attributes of equipment such as a breaker, a load switch, a disconnecting switch and the like.
Wherein forming a backbone data set from segments of the grid line from the outlet switch to all of the tie switches comprises:
taking a wire segment and a cable segment of the power grid line from an outlet switch to each interconnection switch as a trunk based on a power grid topology, and forming a trunk data set by all the trunks;
forming a line segment of the grid line from an outlet switch to a furthest subscriber into a backbone data set includes:
and taking a wire segment and a cable segment of the power grid line from an outlet switch to the furthest user as a backbone based on the power grid topology, and forming a backbone data set.
Specifically, when the tie switch is identified, the tie line is identified. Finding out all the wire segments and cable segments from the line outlet switch to the tie switch as a line trunk according to the topology result; all the wire sections and cable sections from the line outlet switch to the farthest interconnecting switch are used as a line primary trunk;
referring to fig. 4, if there is only one tie switch, there is only a level 1 backbone; referring to fig. 5, if there are two or more tie switches, starting from the line outlet switch, along the 1-stage trunk path, the 2-stage trunk closest to the outlet switch, the 3-stage trunk, and so on;
under the primary main line path, starting from a line outlet switch, taking a first section of wire section/cable section as an I section main line, taking a second section of wire section/cable section downwards as an II section main line, taking a third section of wire section/cable section as an III section main line, and the like.
Referring to fig. 6, when the tie switch is not recognized, the radiation line is recognized. According to the topology result, finding out all the wire segments and cable segments which pass through from the line outlet switch to the farthest user, namely the farthest pole-mounted transformer or the farthest distribution transformer, recording all the wire segments and cable segments as a main data set, and taking all the main as a primary main;
under the primary main line path, starting from a line outlet switch, taking a first section of wire section/cable section as an I section main line, taking a second section of wire section/cable section downwards as an II section main line, taking a third section of wire section/cable section as an III section main line, and the like.
And S2, reserving a line segment connected to a preset power distribution station room in the trunk data set to obtain the updated trunk data set.
Wherein, the step S2 comprises the following steps:
analyzing the starting point of each line segment in the trunk data set;
and reserving line segments connected to a switching station or a ring main unit in the trunk data set.
Specifically, based on the trunk data set, all line segments are orderly divided into 1-segment trunks, 2-segment trunks and 3-segment trunks … … according to the sectionalized switches, starting and ending points of each segment trunk are analyzed, trunk line segments connected to two types of station rooms of the switch station and the ring main unit are reserved, the two types of station rooms are all line segments to the distribution room downwards basically, the line segments are all terminal power supply line segments basically, and branch lines are generally judged, so that an updated trunk data set is formed.
S3, setting a flow threshold according to the maximum current-carrying capacity of each line segment of the updated main data set, and screening the line segments of the updated main data set through the flow threshold to obtain a final main data set.
Wherein, the setting a flow threshold according to the maximum current carrying capacity of each line segment of the updated backbone data set, and the filtering the line segment of the updated backbone data set through the flow threshold includes:
obtaining the maximum current-carrying capacity of each line segment of the updated main data set, and searching the maximum current-carrying capacity corresponding to the first line segment of the power grid line outgoing line;
setting a flow threshold according to the maximum current-carrying capacity corresponding to the first section line segment of the power grid line outgoing line;
and if the maximum current-carrying capacity of the line segment of the updated trunk data set is smaller than the flow threshold, the line segment is taken as a branch line and is removed from the trunk data set, and otherwise, the line segment is reserved.
Specifically, referring to fig. 7, according to the updated line segments in the backbone data set, a preset maximum current-carrying capacity of each line segment is obtained, and a flow threshold is determined by referring to the maximum current-carrying capacity value of the first line segment of the line outgoing line;
and judging whether the maximum current-carrying capacity of each line segment is smaller than a flow threshold value or not, if so, judging the line segment as a branch line, and removing the branch line from the updated line segment in the trunk data set to obtain a final trunk line.
Example two
Referring to fig. 2, a power grid line trunk analysis terminal includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the steps of a power grid line trunk analysis method according to the first embodiment when executing the computer program.
In summary, according to the method and the terminal for analyzing the power grid line trunks, if the tie switches in the power grid line are identified, the line segments from the outlet switch to all the tie switches in the power grid line are formed into the trunk data set, otherwise, the line segments from the outlet switch to the farthest user in the power grid line are formed into the trunk data set, and the trunk data set of the line can be obtained by means of the tie switches; the line segments connected to the preset power distribution station rooms in the trunk data set are reserved, so that the tail end power supply line segments in the trunk data set can be removed conveniently, wherein the trunk line segments connected to the switch station and the ring main unit station rooms are reserved, the line segments in the rest trunk data sets are removed, and the trunk data sets are updated further; the flow threshold is determined according to the maximum current-carrying capacity value of the first segment of the line outgoing from the power grid line, the updated segment of the main data set is screened through the flow threshold to obtain a final main data set, so that the main data set is filtered and updated by combining a tie switch, a preset power distribution station room and the flow threshold, the main can be rapidly analyzed, and the main identification efficiency of the power grid power distribution line is improved.
The foregoing description is only illustrative of the present invention and is not intended to limit the scope of the invention, and all equivalent changes made by the specification and drawings of the present invention, or direct or indirect application in the relevant art, are included in the scope of the present invention.

Claims (6)

1. The power grid line trunk analysis method is characterized by comprising the following steps:
judging whether a tie switch in a power grid line is identified, if so, forming a main data set from the line segments from an outlet switch to all the tie switches, otherwise, forming a main data set from the line segments from the outlet switch to the farthest user, wherein the main data set comprises a plurality of main lines, and the main lines comprise a plurality of line segments;
the line segments connected to a preset power distribution station room in the trunk data set are reserved, and the updated trunk data set is obtained;
setting a flow threshold according to the maximum current-carrying capacity of each line segment of the updated main data set, and screening the line segments of the updated main data set through the flow threshold to obtain a final main data set;
reserving a line segment connected to a preset substation room in the trunk data set, and obtaining the updated trunk data set comprises:
analyzing the starting point of each line segment in the trunk data set;
the line segments connected to a switching station or a ring main unit in the trunk data set are reserved, and the updated trunk data set is obtained;
setting a flow threshold according to the maximum current carrying capacity of each line segment of the updated backbone data set, and filtering the line segments of the updated backbone data set through the flow threshold comprises:
obtaining the maximum current-carrying capacity of each line segment of the updated main data set, and searching the maximum current-carrying capacity corresponding to the first line segment of the power grid line outgoing line;
setting a flow threshold according to the maximum current-carrying capacity corresponding to the first section line segment of the power grid line outgoing line;
and if the maximum current-carrying capacity of the line segment of the updated trunk data set is smaller than the flow threshold, the line segment is taken as a branch line and is removed from the trunk data set, and otherwise, the line segment is reserved.
2. A method of grid line backbone analysis according to claim 1, characterized in that forming backbone data sets from segments of the grid line from outlet switches to all tie switches comprises:
taking a wire segment and a cable segment of the power grid line from an outlet switch to each interconnection switch as a trunk based on a power grid topology, and forming a trunk data set by all the trunks;
forming a line segment of the grid line from an outlet switch to a furthest subscriber into a backbone data set includes:
and taking a wire segment and a cable segment of the power grid line from an outlet switch to the furthest user as a backbone based on the power grid topology, and forming a backbone data set.
3. The method of claim 1, wherein the determining whether the tie switch in the power grid line is identified comprises:
acquiring power grid line data;
and acquiring all the switching equipment data in the power grid line data, and if the attribute of the switching equipment is normally open, the switching equipment is a tie switch.
4. A power grid line backbone analysis terminal comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor when executing the computer program implements the steps of:
judging whether tie switches in a power grid line are identified, if so, forming a trunk data set based on the power grid topology according to the line segments from the outlet switches in the power grid line to all the tie switches, otherwise, forming the trunk data set based on the power grid topology according to the line segments from the outlet switches in the power grid line to the farthest users, wherein the trunk data set comprises a plurality of trunks, and the trunks comprise a plurality of line segments;
the line segments connected to a preset power distribution station room in the trunk data set are reserved, and the updated trunk data set is obtained;
setting a flow threshold according to the maximum current-carrying capacity of each line segment of the updated main data set, and screening the line segments of the updated main data set through the flow threshold to obtain a final main data set;
reserving a line segment connected to a preset substation room in the trunk data set, and obtaining the updated trunk data set comprises:
analyzing the starting point of each line segment in the trunk data set;
the line segments connected to a switching station or a ring main unit in the trunk data set are reserved, and the updated trunk data set is obtained;
setting a flow threshold according to the maximum current carrying capacity of each line segment of the updated backbone data set, and filtering the line segments of the updated backbone data set through the flow threshold comprises:
obtaining the maximum current-carrying capacity of each line segment of the updated main data set, and searching the maximum current-carrying capacity corresponding to the first line segment of the power grid line outgoing line;
setting a flow threshold according to the maximum current-carrying capacity corresponding to the first section line segment of the power grid line outgoing line;
and if the maximum current-carrying capacity of the line segment of the updated trunk data set is smaller than the flow threshold, the line segment is taken as a branch line and is removed from the trunk data set, and otherwise, the line segment is reserved.
5. The grid line backbone analysis terminal of claim 4, wherein forming backbone data sets from segments of the grid line from an outlet switch to all of the tie switches comprises:
taking a wire segment and a cable segment of the power grid line from an outlet switch to each interconnection switch as a trunk based on a power grid topology, and forming a trunk data set by all the trunks;
forming a line segment of the grid line from an outlet switch to a furthest subscriber into a backbone data set includes:
and taking a wire segment and a cable segment of the power grid line from an outlet switch to the furthest user as a backbone based on the power grid topology, and forming a backbone data set.
6. The grid line backbone analysis terminal of claim 4, wherein the determining whether a tie switch in the grid line has been identified comprises:
acquiring power grid line data;
and acquiring all the switching equipment data in the power grid line data, and if the attribute of the switching equipment is normally open, the switching equipment is a tie switch.
CN202110988092.9A 2021-08-26 2021-08-26 Power grid line trunk analysis method and terminal Active CN113922357B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110988092.9A CN113922357B (en) 2021-08-26 2021-08-26 Power grid line trunk analysis method and terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110988092.9A CN113922357B (en) 2021-08-26 2021-08-26 Power grid line trunk analysis method and terminal

Publications (2)

Publication Number Publication Date
CN113922357A CN113922357A (en) 2022-01-11
CN113922357B true CN113922357B (en) 2023-06-27

Family

ID=79233135

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110988092.9A Active CN113922357B (en) 2021-08-26 2021-08-26 Power grid line trunk analysis method and terminal

Country Status (1)

Country Link
CN (1) CN113922357B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116154772B (en) * 2023-04-23 2023-07-04 广东电网有限责任公司佛山供电局 Distribution network line current-carrying capacity rationality automatic analysis method, device and equipment

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103632221A (en) * 2013-11-05 2014-03-12 云南电网公司红河供电局 Automatic feeder-range refreshing method
CN107846011A (en) * 2017-07-17 2018-03-27 中国南方电网有限责任公司 A kind of distribution network failure restoration methods based on main distribution Collaborative Control
CN112421612A (en) * 2020-11-03 2021-02-26 北京科东电力控制系统有限责任公司 Medium-voltage main line branch line analysis method based on distribution network operation state

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103632221A (en) * 2013-11-05 2014-03-12 云南电网公司红河供电局 Automatic feeder-range refreshing method
CN107846011A (en) * 2017-07-17 2018-03-27 中国南方电网有限责任公司 A kind of distribution network failure restoration methods based on main distribution Collaborative Control
CN112421612A (en) * 2020-11-03 2021-02-26 北京科东电力控制系统有限责任公司 Medium-voltage main line branch line analysis method based on distribution network operation state

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
城市配电网智能分布式馈线自动化系统研究;黎值源 等;通信电源技术(第06期);第70-71页 *

Also Published As

Publication number Publication date
CN113922357A (en) 2022-01-11

Similar Documents

Publication Publication Date Title
CN111428376A (en) CIM (common information model) -based power distribution network feeder contact mode identification method and system
CN113922357B (en) Power grid line trunk analysis method and terminal
CN108206522B (en) Power equipment state monitoring method and system
CN112531655B (en) Rapid optimization configuration method and system for distribution network feeder line section switch
CN110688724A (en) Intelligent identification method for distribution network line co-tower erection
CN111625915B (en) Analysis method and system for feeder equipment interval power supply range household data
CN111859586A (en) Method for intelligently generating distribution network line automatic switch distribution diagram
CN106599447B (en) Substation's hierarchical topology analysis method based on electrical separation
CN110932273B (en) Modeling method for signal loop of secondary system of transformer substation
CN111126236A (en) Standard wiring type identification method and device based on topological feature and pattern identification
CN108448578A (en) T-type mining high-voltage electric-network automatic short-circuit computational methods based on topology coding
CN104462391B (en) A kind of mining high-voltage electric-network device parameter quick input method based on breadth first search
CN116014568A (en) Main wiring type identification method, device, equipment and medium based on interval topology
CN113312518A (en) Grid structure analysis method, device and equipment based on CIM (common information model) of power distribution network
CN113884816A (en) Single-phase earth fault section positioning method, device, equipment and storage medium
CN112821339A (en) Lightning protection measure transformation method for operating power distribution network
CN112803412A (en) Distribution network contact point type identification method and system
CN106022956A (en) Region protection differential ring boundary circuit breaker dynamic search method
CN111884209B (en) Characteristic quantity extraction-based medium-voltage line typical wiring mode identification method
CN110672982B (en) Detection method and system for preventing long-term loop closing operation of power distribution network and readable storage medium
CN110909219A (en) Dynamic generation method of distribution line contact diagram
CN112464420B (en) Method and device for automatically generating intra-station diagram according to typical configuration
CN114509616B (en) Power failure analysis household problem investigation method
CN211209565U (en) Cable connecting device of integrated power cabinet
CN218386816U (en) Electrical wiring structure of 330kV transformer substation

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