CN112083269A - 10kV power distribution network lightning overvoltage identification method based on voltage correlation analysis - Google Patents
10kV power distribution network lightning overvoltage identification method based on voltage correlation analysis Download PDFInfo
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- 238000010219 correlation analysis Methods 0.000 title claims abstract description 15
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- 230000005672 electromagnetic field Effects 0.000 claims description 4
- 230000008878 coupling Effects 0.000 claims description 3
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- 238000005859 coupling reaction Methods 0.000 claims description 3
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- 238000010276 construction Methods 0.000 abstract description 2
- 238000001514 detection method Methods 0.000 abstract description 2
- 230000016507 interphase Effects 0.000 description 11
- 208000025274 Lightning injury Diseases 0.000 description 7
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/085—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/54—Testing for continuity
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
- G01R31/58—Testing of lines, cables or conductors
Abstract
The invention relates to a 10kV power distribution network lightning overvoltage identification method based on voltage correlation analysis, and belongs to the technical field of relay protection of power systems. The invention analyzes the principle of lightning overvoltage generation and realizes the establishment of an induction lightning model. The construction of an inductive lightning simulation platform is realized through the MATLAB and the PSCAD online, and the overvoltage detection of the overhead line inductive lightning is realized. Meanwhile, waveforms of the direct lightning overvoltage and the induced lightning overvoltage are identified based on voltage correlation analysis, and important criteria are provided for differentiated lightning protection. According to the lightning overvoltage identification result, corresponding equipment can be selectively input to improve the self-healing capability and the rapid fault handling capability of the power distribution network after lightning faults occur.
Description
Technical Field
The invention relates to a 10kV power distribution network lightning overvoltage identification method based on voltage correlation analysis, and belongs to the technical field of relay protection of power systems.
Background
The distribution network fault occupies 80% of total faults in a power system, when a wire is broken, the wire is suspended at two sides of a line fracture and grounded at a load side, detected waveforms have no obvious fault characteristics, the broken wire fault is difficult to detect, and the current protection device is difficult to judge faults of the broken wire. The user and the maintainer can only find the fault and then the fault telephone is used for disconnection processing, so that the fault is not processed in time, and normal production and life of people are influenced. According to the operation data of the distribution lines, the main reason of the broken insulated conductor is found to be lightning strike. The disconnection fault on the 10kV distribution network overhead line is mostly caused by induced lightning overvoltage, and a small part of the disconnection fault is caused by direct lightning. Lightning in nature has randomness and complexity, and a unified model cannot be established to simulate theory. The data such as the bottom current, the lightning current strike-back speed, the attenuation factor and the like of the channel can be extracted only according to some data and observation results, so that a relatively reasonable lightning strike-back model under different conditions can be simulated. The induced lightning in the distribution network is modeled, but the modeling is only limited to the extraction of the overvoltage waveform of the induced lightning, and the lightning stroke modeling and the distribution network disconnection fault cannot be integrally researched to explore the association. When lightning strikes near an overhead line, calculating induced lightning overvoltage on the overhead line mainly starts from the following two aspects: firstly, calculating an electromagnetic field around a lightning strike-back channel, and then calculating the coupling relation between the electromagnetic field and the overhead line, thereby obtaining the induced lightning overvoltage on the line. The difference of lightning stroke overvoltage caused on the power transmission line of the power distribution network is mostly caused by the reasons of the line length, the structure and the like and the influence of various severe weather, so that the lightning stroke is very difficult to distinguish, and the method has important significance for identifying direct lightning stroke and induction lightning stroke to the safe operation of the power distribution network.
In the research of lightning protection of distribution networks, people mainly start from two aspects of reducing flashover rate and dredging electric arcs, and do not respectively protect the characteristics of direct lightning overvoltage and induction lightning overvoltage. The two lightning overvoltage are not distinguished, so that not only can the resource waste be caused, but also the protection failure is caused due to the error of a lightning protection object, and the phenomenon of reducing the power supply reliability of a distribution network is caused.
Disclosure of Invention
The invention aims to provide a 10kV power distribution network lightning overvoltage identification method based on voltage correlation analysis, which is used for correctly identifying direct lightning and induction lightning and solving the problems.
The technical scheme of the invention is as follows: a10 kV power distribution network lightning overvoltage identification method based on voltage correlation analysis analyzes the principle of lightning overvoltage generation and achieves inductive lightning model establishment. The construction of an inductive lightning simulation platform is realized through the MATLAB and the PSCAD online, and the overvoltage detection of the overhead line inductive lightning is realized. Meanwhile, waveforms of the direct lightning overvoltage and the induced lightning overvoltage are identified based on voltage correlation analysis, and important criteria are provided for differentiated lightning protection.
The method comprises the following specific steps:
step 1: selecting a base current model and a back-strike channel model, establishing a lightning back-strike channel model, calculating an electromagnetic field around a lightning strike channel by using MATLAB, and solving a coupling relation between the magnetic field and the overhead line of the distribution network, namely obtaining the induced scattering voltage of the overhead line by taking a horizontal electric field as an excitation source.
Step 2: and respectively injecting the calculated scattering voltage of each phase into a distribution network overhead line model by using an injection mode, and detecting lightning overvoltage at different measuring points, wherein the lightning overvoltage comprises lightning overvoltage under triangular arrangement and horizontal arrangement of overhead lines.
Step 3: the method comprises the following steps of carrying out correlation analysis on waveforms of detected direct lightning overvoltage and induced lightning overvoltage, respectively analyzing inter-phase correlation of the induced lightning overvoltage and inter-phase correlation of the direct lightning overvoltage under the conditions of triangular arrangement and horizontal arrangement of overhead lines, wherein the correlation analysis formula is as follows:
in the formula, R(s)T) degree of correlation between two variables, E [ (X)s-μs)(Xt-μt)]Is a random variable Xs、XtCovariance of (a)sIs a random variable XsVariance of (a)tIs a random variable XtThe variance of (c).
Step 4: taking three correlation coefficients between every two phases as a group of criteria:
and if the three coefficients gamma are all larger than 0.9, determining the overvoltage caused by the induction lightning.
And if two coefficients gamma in the three coefficients are less than 0.6, judging the overvoltage caused by the direct lightning.
The invention has the beneficial effects that:
1. according to the invention, a 10kV power distribution network induced lightning overvoltage simulation platform is built by interconnection of MATLAB and PSCAD, characteristics of lightning overvoltage are analyzed, and interphase criteria are constructed by a correlation analysis method, so that identification of induced lightning overvoltage and direct lightning overvoltage is realized.
2. According to the lightning overvoltage identification result, corresponding equipment can be selectively input to improve the self-healing capability and the rapid fault handling capability of the power distribution network after lightning faults occur.
Drawings
Fig. 1 and fig. 2 are graphs of induced lightning overvoltage under triangular arrangement of overhead lines when r is 200m in embodiment 1 of the present invention;
fig. 3 and 4 are graphs of induced lightning overvoltage under triangular arrangement of overhead lines when r is 500m in embodiment 1 of the present invention;
fig. 5 and 6 are graphs of direct lightning induced overvoltage detected at each measurement point on the line when direct lightning occurs in embodiment 1 of the present invention;
fig. 7 and 8 are graphs of induced lightning overvoltage when the overhead lines are horizontally arranged when r is 200m in embodiment 2 of the present invention;
fig. 9 and 10 are graphs of induced lightning overvoltage when the overhead lines are horizontally arranged when r is 500m in embodiment 2 of the present invention;
fig. 11 and 12 are graphs of direct lightning induced overvoltage detected at each measurement point on the line when direct lightning occurs in embodiment 2 of the present invention;
FIG. 13 is a flow chart of lightning overvoltage identification in the present invention;
fig. 14 is a simplified block diagram of a 10kV distribution network of the present invention.
Detailed Description
The invention is further described with reference to the following drawings and detailed description.
Example 1: a simplified structure of a 10kV distribution network is shown in fig. 14.
Induced lightning overvoltage under triangular arrangement:
(1) base current amplitude I020kA, the back-striking speed v of thunder and lightning is 1.3X 108m/s, the horizontal distance r between the lightning strike point and the aerial is 200 m. As shown in fig. 1 and 2.
(2) Base current amplitude I020kA, the back-striking speed v of thunder and lightning is 1.3X 108m/s, the horizontal distance r between the lightning strike point and the aerial is 500 m. As shown in fig. 3 and 4.
Direct lightning overvoltage under triangular arrangement:
when the distribution network lightning conductor is not considered, under the same overhead line model, when direct lightning occurs, direct lightning induced overvoltage detected by each measuring point on the line is shown in figures 5 and 6.
Example 2: a simplified structure of a 10kV distribution network is shown in fig. 14.
Induced lightning overvoltage in horizontal arrangement:
(1) base current I020kA, the back-striking speed v of thunder and lightning is 1.3X 109m/s, the induced lightning overvoltage waveform when the horizontal distance between the lightning stroke point and the overhead line is 200m is observed, and the waveform diagrams are shown in fig. 7 and 8.
(2) Base current I020kA, the back-striking speed v of thunder and lightning is 1.3X 109m/s, the induced lightning overvoltage waveform when the horizontal distance between the lightning stroke point and the overhead line is 500m is observed, and the waveform diagrams are shown in fig. 9 and 10.
Direct lightning overvoltage in horizontal arrangement:
when the direct lightning strikes occur under the same overhead line model without considering the distribution network lightning conductor, the direct lightning induced overvoltage detected by each measuring point on the line is shown in fig. 11 and 12.
And (3) carrying out correlation analysis according to the detected induced lightning overvoltage and direct lightning overvoltage:
at base current I0The inter-phase correlation of the induced lightning overvoltage at the measuring point P when r is 200m and 500m and the inter-phase correlation of the direct lightning overvoltage are analyzed under 20kA overhead line triangular arrangement. As shown in table 1.
TABLE 1
At base current I0The inter-phase correlation of the induced lightning overvoltage at the measuring point M when r is 200M and 500M and the inter-phase correlation of the direct lightning overvoltage are analyzed under 20kA overhead line triangular arrangement. As shown in table 2.
TABLE 2
At base current I0The inter-phase correlation of the induced lightning overvoltage at the measuring point P when r is 200m and 500m and the inter-phase correlation of the direct lightning overvoltage are analyzed at the overhead line level at 20 kA. As shown in table 3.
TABLE 3
At base current I0The inter-phase correlation of the induced lightning overvoltage at the measuring point M when r is 200M and 500M and the inter-phase correlation of the direct lightning overvoltage are analyzed at the overhead line level at 20 kA. As shown in table 4.
TABLE 4
Constructing criteria through data: taking three correlation coefficients between every two three phases as a group of criteria, and if the three coefficients gamma are all larger than 0.9, determining the overvoltage caused by the induction lightning; and if two coefficients gamma in the three coefficients are less than 0.6, judging the overvoltage caused by the direct lightning. The identification process is shown in FIG. 13.
While the present invention has been described in detail with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, and various changes can be made without departing from the spirit and scope of the present invention.
Claims (1)
1. A10 kV power distribution network lightning overvoltage identification method based on voltage correlation analysis is characterized by comprising the following steps:
step 1: selecting a base current model and a back strike channel model, establishing a lightning back strike channel model, calculating an electromagnetic field around a lightning strike channel by using MATLAB, and solving a coupling relation between the magnetic field and the overhead line of the distribution network;
step 2: respectively injecting the obtained scattering voltage of each phase into a distribution network overhead line model, and detecting lightning overvoltage at different measuring points, wherein the lightning overvoltage comprises lightning overvoltage under triangular arrangement and horizontal arrangement of overhead lines;
step 3: and carrying out correlation analysis on the waveforms of the detected direct lightning overvoltage and the induced lightning overvoltage, wherein the formula of the correlation analysis is as follows:
wherein R (s, t) is the degree of correlation between two variables, E [ (X)s-μs)(Xt-μt)]Is a random variable Xs、XtCovariance of (a)sIs a random variable XsThe variance of (a) is determined,σtis a random variable XtThe variance of (a);
step 4: taking three correlation coefficients between every two phases as a group of criteria:
if the three coefficients gamma are all larger than 0.9, determining the overvoltage caused by the induction lightning;
and if two coefficients gamma in the three coefficients are less than 0.6, judging the overvoltage caused by the direct lightning.
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Cited By (2)
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| CN112730964A (en) * | 2020-12-23 | 2021-04-30 | 国网河南省电力公司洛阳供电公司 | Lightning overvoltage identification method based on overvoltage waveform characteristics |
| CN115267308A (en) * | 2022-09-06 | 2022-11-01 | 中国科学院大气物理研究所 | Direct lightning induced overvoltage measurement and electronic equipment tolerance performance testing device and method |
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