AU2020103179A4 - A Fault Locating Method of Power Grid Based on Network Theory - Google Patents

A Fault Locating Method of Power Grid Based on Network Theory Download PDF

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AU2020103179A4
AU2020103179A4 AU2020103179A AU2020103179A AU2020103179A4 AU 2020103179 A4 AU2020103179 A4 AU 2020103179A4 AU 2020103179 A AU2020103179 A AU 2020103179A AU 2020103179 A AU2020103179 A AU 2020103179A AU 2020103179 A4 AU2020103179 A4 AU 2020103179A4
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power grid
fault
power
model
grid
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AU2020103179A
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Chaoyang Chen
Zuguo Chen
Li Ding
Xiaowei Jiang
Yanwu WANG
Yong Xiao
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China Southern Power Grid Research Institute
China University of Geosciences
Huazhong University of Science and Technology
Wuhan University WHU
Hunan University of Science and Technology
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China Southern Power Grid Res Institute
China University of Geosciences
Huazhong University of Science and Technology
Wuhan University WHU
Hunan University of Science and Technology
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B3/00—Line transmission systems
    • H04B3/54—Systems for transmission via power distribution lines
    • 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
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G05B23/0281—Quantitative, e.g. mathematical distance; Clustering; Neural networks; Statistical analysis
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10—Power 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
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L12/00—Data switching networks
    • H04L12/02—Details
    • H04L12/10—Current supply arrangements
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • Y04S40/121—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment using the power network as support for the transmission

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  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Power Engineering (AREA)
  • Mathematical Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Algebra (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Pure & Applied Mathematics (AREA)
  • Signal Processing (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a power grid fault positioning method based on a network theory, which comprises the following steps: selecting a fault power grid, establishing a fault power grid model, analyzing a fault power grid topology model, positioning a fault position and troubleshooting a fault point; preliminarily selecting the fault position of the power grid through a power grid abnormality prompting device, so that the fault positioning range is convenient to narrow; establishing the fault power grid model through the network theory, so that the evaluation capability of the topological model is improved; the structural characteristics of the power grid can be represented only through a group of models; drawing a node degree distribution diagram and a medium distribution diagram of the selected power grid through an artificial intelligence processing module in a graph module; and enabling information and characteristic parameters of the fault power grid to be convenient to be analyzed and calculated, so that the requirements of computational performance is reduced; carrying out virtual attack on the power grid topology model of the fault power grid by adopting a power grid simulation attack system, which makes the monitoring data more suitable for reality, improves the accuracy of the position of the grid fault occurrence point. -1/1 Selecting Fault Power Grid Establishing Fault Power Grid Model Analyzing Fault Power Grid Topology Model Positioning Fault Position Troubleshooting Fault Point Figure 1 13

Description

-1/1
Selecting Fault Power Grid
Establishing Fault Power Grid Model
Analyzing Fault Power Grid Topology Model
Positioning Fault Position
Troubleshooting Fault Point
Figure 1
A Fault Locating Method of Power Grid Based on Network Theory
TECHNICAL FIELD
The invention relates to the technical field of power grid fault positioning, in
particular to a power grid fault positioning method based on a network theory.
BACKGROUND
As a clean secondary energy, electric energy plays an irreplaceable role in the
contemporary society, the power industry is the pillar industry of national economy,
high-quality and reliable power supply is an important guarantee of continuous and
stable development of modern society, therefore, guarantee the safety, reliability and
rapidity of power system operation is very crucial, power grid is an important part of
power system, and the power grid fault in power system is more likely to occur,
which is a serious threat to electric power production safety, and bring huge economic
losses in the electric power enterprises and the society, the most serious will lead to a
large area of power failure, once occurred, the consequences are unimaginable;
Due to the complex structure of a power grid circuit, the traditional fault
positioning method has the disadvantages of long time consumption, low accuracy
and incapability of accurately feeding back power grid fault points, and the power
grid fault positioning method often needs further manual inspection, so that the
double waste of manpower and rush repair time is caused, and the power grid fault
maintenance efficiency is low; and the existing power grid fault positioning method
establishes a fault positioning model based on the working characteristics of a
distributed power grid, and the fault positioning model is complex in construction
process and low in fault identification efficiency, so that the fault positioning method
is not suitable for large-scale on-line application of a power distribution network; the
fault position process has strong uncertainty and numerical instability, which indirectly increase the rate of misjudgment and miss-judgment in the fault section. Therefore, the invention provides a power grid fault positioning method based on a network theory to solve the problems existing in the existing technology.
SUMMARY
Aiming at the problems, the invention aims at providing a power grid fault
positioning method based on a network theory. In the method, a power grid fault
occurrence position is preliminarily selected through a power grid abnormality prompting device, so that the fault positioning range is convenient to narrow; a fault
power grid model is established through the network theory, so that the evaluation
capability of a topology model is improved, the structural characteristics of the power
grid can be represented only through a group of models, the modeling difficulty is reduced, in addition, the information and characteristic parameters of the fault power
grid are convenient to analyze and calculate, and the calculation performance
requirements are reduced; the virtual attack is carried out on the power grid topology model of the fault power grid by adopting a power grid simulation attack system,
which makes the monitoring data more suitable for reality, and improves the accuracy
of the position of the grid fault occurrence point.
In order to realize the purpose of the invention, the invention is realized by the
following technical scheme: the power grid fault positioning method based on the network theory comprises the following steps:
Step 1: selecting a fault power grid.
Firstly, extracting fault power grid position information from real-time power grid abnormality alarm information sent by a power grid abnormality prompting
device, and dividing an area covered by the extracted power grid position information
into a fault generation power grid to be positioned;
Step 2: establishing a fault power grid model.
According to the step 1, firstly, abstracting a generator into injection power on a generator outlet bus according to a network theory, establishing a model for a
transformer substation according to an equivalent circuit, abstracting a power supply
and a load on a low-voltage side into active injection power on a corresponding bus, abstracting the generator, the transformer substation and the load into network nodes,
abstracting a power transmission line into edges between nodes in a power grid, and
obtaining a power grid topology model of a fault power grid;
Step 3: analysis of fault power grid topology model.
According to the step 2, firstly, carrying out information analysis on the fault
power grid according to a power grid topology model of the fault power grid, then
calculating characteristic parameters of the fault power grid according to the power grid topology model of the fault power grid, then drawing a node degree distribution
map and a medium distribution map of the selected power grid through an artificial
intelligence processing module in a graph module according to the analyzed fault power grid information and the calculated characteristic parameters of the fault power
grid;
Step 4: positioning the fault position.
According to the step 3, firstly, carrying out virtual attack on the power grid
topology model of the fault power grid according to the node degree distribution
diagram and the medium distribution diagram of the fault power grid, and then carrying out detection analysis on the connectivity of the power grid topology model
under attack, wherein an area in the detection process where electric signals cannot be
communicated is a fault occurrence point in the selected fault power grid;
Step 5: troubleshooting the fault point.
And according to the step 4, firstly, carrying out index evaluation on the detected
fault occurrence point in the power grid, and then carrying out corresponding maintenance measures on the fault occurrence point of the power grid according to the index evaluation result.
The further improvement lies in that in the step 1, the power grid abnormality
prompting device is equidistantly arranged on the power supply cable and is used for
detecting the abnormality of the electric signal on the cable and providing the position information around the fault occurrence point in real time when the power grid fails.
The further improvement lies in that in the step 2, the power transmission line is a high-voltage power transmission line with the voltage greater than 110KV, each
node in the power grid is a node without difference, the earth zero point is not
considered, all edges in the power grid are undirected and unweighted edges, and the
difference of characteristic parameters and voltage grades in the power transmission line is not considered.
The further improvement lies in that in the step 3, the analyzed fault power grid
information comprises the total number of nodes of the power grid, the total number
of edges, the number of power supply nodes, the number of terminal nodes and the number of contact nodes of the power grid.
The further improvement lies in that in the step 3, the calculated fault power grid
characteristic parameters comprise the network average degree of the power grid, the
average distance of the actual power grid, the clustering coefficient and the random
network parameters.
The further improvement lies in that in the step 4, the virtual attack is carried out
by adopting a power grid simulation attack system, and the power grid simulation attack system carries out virtual attack on a power grid topology model of a fault
power grid through attack modes of different strengths and different frequencies.
The further improvement lies in that in the step 5, the maintenance measure is to
control the load switch in the power grid to isolate the fault occurrence point through
the power grid main control station according to the position of the fault occurrence point of the power grid, and control the connecting switch in the power grid to transfer the load of the fault occurrence point.
The beneficial effects of the present invention are as follows: the present
invention initially selects the position of the grid fault through the abnormality
prompting device of the grid, so that the fault positioning range is convenient to narrow, and then establishes the fault power grid model through network theory,
which improves the evaluation ability of the topology model, the structural
characteristics of the power grid can be represented through only one group of models,
and the modeling difficulty is reduced. In addition, the information and characteristic parameters of the faulty power grid are easy to analyze and calculate, and the
calculation performance requirements are reduced. The virtual attack is carried out on
the power grid topology model of the fault power grid by adopting a power grid simulation attack system, which makes the monitoring data more suitable for reality,
improves the accuracy of the position of the grid fault occurrence point, and facilitates the accurate position and timely maintenance of the grid fault occurrence point,
thereby ensuring the normal operation of the power grid and reducing the occurrence of power failure accidents. In addition, compared with the traditional fault position
method, the invention consumes less time and is more efficient. Compared with the
existing fault position method, the invention has simpler modeling process and high
fault identification efficiency, is suitable for large-scale power grid on-line application, and indirectly reduces the rate of misjudgment and miss-judgment in the fault section,
and is worthy of wide popularization.
BRIEF DESCRIPTION OF THE FIGURES
Figure 1 is a flowchart of a fault position method according to the present
invention.
DESCRIPTION OF THE INVENTION
In order to deepen the understanding of the present invention, the present
invention will be described in further detail below with reference to embodiments,
which are merely illustrative of the present invention and are not intended to limit the
scope of protection of the present invention.
According to Figure 1, the embodiment provides a power grid fault positioning
method based on a network theory, which comprises the following steps:
Step 1, selecting a fault power grid.
Firstly, extracting fault grid position information from real-time grid abnormality
alarm information sent by a grid abnormality prompting device, and dividing an area
covered by the extracted grid position information into fault generation grids to be
positioned, wherein the grid abnormality prompting device is equidistantly arranged
on a power supply cable and is used for detecting the abnormality of an electric signal
on the cable and providing position information around a fault generation point in real
time when the grid fails;
Step 2, establishing a fault power grid model.
According to step 1, the generator is first abstracted as the injected power on the
generator outlet bus according to the network theory, the substation is modeled
according to the equivalent circuit, and the low-voltage side power supply and load
are abstracted as the active injected power on the corresponding bus, and the
generators, substations, and loads are abstracted as network nodes, and the
transmission lines are abstracted as edges between nodes in the power grid. The
power grid topology model of the faulty power grid is obtained. The transmission
lines are high-voltage power transmission lines with a voltage greater than110KV,
each node in the power grid is a node without difference, the earth zero points are not
considered. All edges in the grid are undirected and unweighted edges, and the
difference in characteristic parameters and voltage levels in the transmission line is not considered;
Step 3: analyzing a fault power grid topology model.
According to the step 2, firstly, analyzing information of the fault power grid according to a power grid topology model of the fault power grid, then calculating
characteristic parameters of the fault power grid according to the power grid topology
model of the fault power grid, then drawing a node degree distribution diagram and a
medium number distribution diagram of a selected power grid through an artificial intelligence processing module in a graph module according to the analyzed fault
power grid information and the calculated fault power grid characteristic parameters,
wherein the analyzed fault power grid information comprises the total number of
nodes of the power grid, the total number of edges, the number of power supply nodes, the number of terminal nodes and the number of contact nodes, and the calculated
fault power grid characteristic parameters comprise network average degree, average
distance, clustering coefficients and random network parameters;
Step 4, positioning the fault position.
According to the step 3, firstly, carrying out virtual attack on a power grid topology model of the fault power grid according to a node degree distribution
diagram and a medium distribution diagram of the fault power grid, then carrying out
detection analysis on the connectivity of the power grid topology model under attack,
wherein an area where electric signals cannot be communicated in the detection process is a fault occurrence point in the selected fault power grid, the virtual attack is
carried out by adopting a power grid simulation attack system, and the power grid
simulation attack system carries out virtual attack on the power grid topology model
of the fault power grid through attack modes of different strengths and different frequencies;
Step 5: troubleshooting the fault point.
According to the step 4, firstly, carrying out index evaluation on the detected fault occurrence point in the power grid, and then carrying out corresponding
maintenance measures on the fault occurrence point of the power grid according to
the index evaluation result, wherein the maintenance measures are that a main control station of the power grid controls a load switch in the power grid to isolate the fault
occurrence point according to the position of the fault occurrence point of the power
grid, and controls a connecting switch in the power grid to transfer the load of the
fault occurrence point.
According to the power grid fault positioning method based on the network theory, the power grid fault occurrence position is preliminarily selected through the
power grid abnormality prompting device, so that the fault positioning range is
conveniently narrowed; a fault power grid model is established through the network theory, so that the evaluation capability of a topology model is improved, the
structural characteristics of the power grid can be represented through only one group
of models, the modeling difficulty is reduced, in addition, the information and
characteristic parameters of the fault power grid are convenient to analyze and calculate, the calculation performance requirement is reduced, the virtual attack is
carried out on the power grid topology model of the fault power grid by adopting a
power grid simulation attack system, which makes the monitoring data more suitable
for reality, improves the accuracy of the position of the grid fault occurrence point, and facilitates the accurate position and timely maintenance of the grid fault
occurrence point, thereby ensuring the normal operation of the power grid and
reducing the occurrence of power failure accidents. Compared with the existing fault
position method, the invention has high fault identification efficiency, is suitable for on-line application of a large-scale power grid, and indirectly reduces misjudgment
and miss-judgment rate of fault sections, and is worthy of wide popularization.
The basic principles, main features and advantages of the present invention have
been shown and described above. It should be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, the above-described embodiments and description are merely illustrative of the principles of the present invention, and various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of protection defined by the claims of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims (7)

1. The power grid fault positioning method based on network theory, comprising the following steps:
Step 1: selecting a fault power grid.
Firstly, extracting fault power grid position information from real-time power
grid abnormality alarm information sent by a power grid abnormality prompting
device, and dividing an area covered by the extracted power grid position information
into a fault generation power grid to be positioned;
Step 2: establishing a fault power grid model.
According to the step 1, firstly, abstracting a generator into injection power on a
generator outlet bus according to a network theory, establishing a model for a transformer substation according to an equivalent circuit, abstracting a power supply
and a load on a low-voltage side into active injection power on a corresponding bus,
abstracting the generator, the transformer substation and the load into network nodes,
abstracting a power transmission line into edges between nodes in a power grid, and obtaining a power grid topology model of a fault power grid;
Step 3: analyzing a fault power grid topology model.
According to the step 2, firstly, analyzing information of the fault power grid
according to a power grid topology model of the fault power grid, then calculating
characteristic parameters of the fault power grid according to the power grid topology
model of the fault power grid, and then drawing a node degree distribution map and a medium distribution map of the selected power grid through an artificial intelligence
processing module in a graph module according to the analyzed fault power grid
information and the calculated characteristic parameters of the fault power grid;
Step 4: positioning the fault position.
According to the step 3, firstly, carrying out virtual attack on the power grid topology model of the fault power grid according to the node degree distribution diagram and the medium distribution diagram of the fault power grid, and then carrying out detection analysis on the connectivity of the power grid topology model under attack, wherein an area in the detection process where electric signals cannot be communicated is a fault occurrence point in the selected fault power grid;
Step 5: troubleshooting the fault point.
And according to the step 4, firstly, carrying out index evaluation on the detected fault occurrence point in the power grid, and then carrying out corresponding
maintenance measures on the fault occurrence point of the power grid according to
the index evaluation result.
2. The power grid fault positioning method based on the network theory,
according to claim 1, characterized in that in the step 1, the power grid abnormality prompting device is installed on a power supply cable at equal intervals and is used
for detecting the abnormality of an electric signal on the cable and providing position
information around a fault occurrence point in real time when the power grid is in fault.
3. The power grid fault positioning method based on the network theory,
according to claim 1, characterized in that in the step 2, the power transmission line is
a high-voltage power transmission line with the voltage greater than 110KV, each
node in the power grid is a node without difference, the earth zero points are not considered, all edges in the grid are undirected and unweighted edges, and differences
of characteristic parameters and voltage grades in the power transmission line are not
considered.
4. The power grid fault positioning method based on the network theory,
according to claim 1, characterized in that in the step 3, the analyzed fault power grid
information comprises the total number of nodes of the power grid, the total number of edges, the number of power supply nodes, the number of terminal nodes and the
number of contact nodes of the power grid.
5. The power grid fault positioning method based on the network theory, according to claim 1, characterized in that in the step 3, the calculated fault power
grid characteristic parameter comprises the network average degree of the power grid,
the average distance of the actual power grid, the clustering coefficient and the random network parameter.
6. The power grid fault positioning method based on the network theory,
according to claim 1, characterized in that in the fourth step, the virtual attack is
carried out by adopting a power grid simulation attack system, and the power grid
simulation attack system carries out virtual attack on a power grid topology model of a fault power grid through attack modes of different strengths and different
frequencies.
7. The power grid fault positioning method based on the network theory,
according to claim 1, characterized in that in the step 5, the maintenance measures are
that the power grid main control station controls the load switch in the power grid according to the position of the power grid fault occurrence point to isolate the fault
occurrence point, and controls the connecting switch in the power grid to transfer the
load of the fault occurrence point.
-1/1- 02 Nov 2020
Selecting Fault Power Grid 2020103179
Establishing Fault Power Grid Model
Analyzing Fault Power Grid Topology Model
Positioning Fault Position
Troubleshooting Fault Point
Figure 1
AU2020103179A 2020-11-02 2020-11-02 A Fault Locating Method of Power Grid Based on Network Theory Ceased AU2020103179A4 (en)

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AU (1) AU2020103179A4 (en)

Cited By (9)

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CN112906204A (en) * 2021-01-29 2021-06-04 国网山东省电力公司临沂供电公司 Automatic operation instruction arranging system based on power grid topology model
CN114202079A (en) * 2021-12-15 2022-03-18 国网四川省电力公司天府新区供电公司 Distribution network fault emergency repair scheduling system
CN115473828A (en) * 2022-08-18 2022-12-13 阿里巴巴（中国）有限公司 Fault detection method and system based on simulation network
CN115586402A (en) * 2022-12-09 2023-01-10 安徽中鑫继远信息技术股份有限公司 Power distribution network fault diagnosis and processing method
CN115859162A (en) * 2023-02-21 2023-03-28 深圳市超业电力科技有限公司 Power distribution system health diagnosis method based on Internet of things and related device
CN116488167A (en) * 2023-06-20 2023-07-25 青岛大学 Attack compensation data driving voltage safety control method, system, equipment and medium
CN117155881A (en) * 2023-10-31 2023-12-01 深圳市吉彼特通信技术有限公司 Industrial switch performance evaluation method and system with circulating heat dissipation structure
CN117148024A (en) * 2023-10-31 2023-12-01 南通豪强电器设备有限公司 Operation fault monitoring method and system for high-voltage switch cabinet
CN117291317A (en) * 2023-11-24 2023-12-26 深圳稳石氢能科技有限公司 AEM-based intelligent power monitoring and optimizing system

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112906204A (en) * 2021-01-29 2021-06-04 国网山东省电力公司临沂供电公司 Automatic operation instruction arranging system based on power grid topology model
CN114202079A (en) * 2021-12-15 2022-03-18 国网四川省电力公司天府新区供电公司 Distribution network fault emergency repair scheduling system
CN115473828B (en) * 2022-08-18 2024-01-05 阿里巴巴（中国）有限公司 Fault detection method and system based on simulation network
CN115473828A (en) * 2022-08-18 2022-12-13 阿里巴巴（中国）有限公司 Fault detection method and system based on simulation network
CN115586402A (en) * 2022-12-09 2023-01-10 安徽中鑫继远信息技术股份有限公司 Power distribution network fault diagnosis and processing method
CN115586402B (en) * 2022-12-09 2023-03-14 安徽中鑫继远信息技术股份有限公司 Power distribution network fault diagnosis and processing method
CN115859162A (en) * 2023-02-21 2023-03-28 深圳市超业电力科技有限公司 Power distribution system health diagnosis method based on Internet of things and related device
CN116488167A (en) * 2023-06-20 2023-07-25 青岛大学 Attack compensation data driving voltage safety control method, system, equipment and medium
CN116488167B (en) * 2023-06-20 2023-09-05 青岛大学 Attack compensation data driving voltage safety control method, system, equipment and medium
CN117155881A (en) * 2023-10-31 2023-12-01 深圳市吉彼特通信技术有限公司 Industrial switch performance evaluation method and system with circulating heat dissipation structure
CN117148024A (en) * 2023-10-31 2023-12-01 南通豪强电器设备有限公司 Operation fault monitoring method and system for high-voltage switch cabinet
CN117148024B (en) * 2023-10-31 2023-12-26 南通豪强电器设备有限公司 Operation fault monitoring method and system for high-voltage switch cabinet
CN117155881B (en) * 2023-10-31 2024-01-30 深圳市吉彼特通信技术有限公司 Industrial switch performance evaluation method and system with circulating heat dissipation structure
CN117291317A (en) * 2023-11-24 2023-12-26 深圳稳石氢能科技有限公司 AEM-based intelligent power monitoring and optimizing system
CN117291317B (en) * 2023-11-24 2024-03-15 深圳稳石氢能科技有限公司 AEM-based intelligent power monitoring and optimizing system

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