CN112711865A - Power transmission line inductive electric simulation refined modeling method - Google Patents

Power transmission line inductive electric simulation refined modeling method Download PDF

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CN112711865A
CN112711865A CN202110066616.9A CN202110066616A CN112711865A CN 112711865 A CN112711865 A CN 112711865A CN 202110066616 A CN202110066616 A CN 202110066616A CN 112711865 A CN112711865 A CN 112711865A
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transmission line
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王鑫明
贾晓卜
张飞飞
赵春雷
孙广辉
梁华洋
李少博
苏玉京
张学伟
郜建祥
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State Grid Hebei Electric Power Co Ltd
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Abstract

The invention provides a refined modeling method for power transmission line induced electricity simulation, which adopts Matlab as a platform to automatically create an ATP-EMTP power transmission line induced electricity model, automatically segments the power transmission line according to actual information based on Fisher sequential clustering, and automatically collects power transmission line information based on a lead information base, a ground wire information base and a tower information base, converts collected data into simulation data which can be applied to a simulation model through calculation on the basis, and automatically fills the simulation data into corresponding positions in the simulation model to automatically create power transmission line models with different types of faults at different voltage levels, different operating states and different positions.

Description

Power transmission line inductive electric simulation refined modeling method
Technical Field
The invention relates to the field of power systems, in particular to a power transmission line induction electric simulation refined modeling method.
Background
At present, a uniform model is mainly adopted for simulation based on an ATP-EMTP power transmission line, namely information such as uniform lead, ground wire model and tower model is adopted for rough simulation or a better simulation result is obtained; or segmenting the power transmission line to be simulated by adopting a segmentation model through the actual line information, independently modeling each power transmission line according to each segment of actual information, connecting each segment, and adding necessary information such as a power supply, a high impedance point, a short circuit point and the like for simulation.
The uniform model carries out approximation processing on the power transmission line, and the line is approximated to a model with uniform parameters, so that the line is simulated by a section of simulation model, the information input quantity and human factors are reduced, but the approximation processing is mainly realized by the actual line and the experience of operators, and no clear standard exists; in addition, the error between the simulation result and the actual condition is large after the power transmission line is subjected to homogenization treatment, and the accuracy of the simulation result is influenced.
In the segmentation model, the power transmission lines need to be segmented artificially according to information such as the return distance and the like, necessary simulation information is extracted from each power transmission line segment in sequence according to actual parameters (such as the models of a conducting wire and a ground wire, the models of a pole tower, a calling scale and the like) and experiences, a simulation model of each power transmission line segment is established in electromagnetic transient simulation software ATP-EMTP and corresponding data is filled in, finally, each power transmission line segment model is connected end to end according to actual conditions, and modeling necessary contents such as a power supply, a high impedance, a grounding point and the like according to the running condition of the power transmission line, running simulation after accessing the line, wherein the process has no clear standard and mainly depends on the experience of operators, in addition, the process of modeling each section of circuit and element is complicated, more data is input, and the possibility of input information error is high in the input process, so that artificial simulation error and even error are easily caused.
Disclosure of Invention
The invention aims to establish a refined modeling method for power transmission line induced electrical simulation, so as to realize scientific and reasonable power transmission line segmentation, improve simulation precision and overcome the defect that segmentation is carried out by depending on experience of operators in the existing scheme.
In order to realize the technical scheme, the invention provides a power transmission line induction electrical simulation refined modeling method, which comprises the following steps:
step 1): establishing a database of the conducting wire, the ground wire and the tower;
step 2): data preprocessing and characteristic quantity extraction;
step 3): obtaining a segmentation scheme by Fisher sequential clustering;
step 4): calculating parameters of the power transmission line;
step 5): modifying the ATP file to realize the change of the model parameters;
step 6): fault configuration modeling simulation;
step 7): and generating a refined simulation model.
Preferably, the database in the step 1 is divided into a conductor information base, a ground wire information base and a tower information base; the wire information base is used for recording the basic information of each type of wire; the ground wire information base is used for recording the basic information of ground wires of various types; the tower information base is divided into a double-circuit same-tower information base and a single-circuit tower information base, and the double-circuit same-tower information base is used for recording the positions of various types of lead wires and ground wires of double-circuit same-tower towers; and the single-circuit tower information base is used for recording the positions of various types of conductors and ground wires of the single-circuit tower.
Preferably, the step 2 is specifically divided into the following 3 parts:
1) establishing a data acquisition module, and running on a computer;
2) the data acquisition module acquires actual information of the power transmission line so as to acquire information such as the return distance, the tower model and the call scale of each section of the power transmission line;
3) and extracting the characteristics of each base tower in the power transmission line.
Preferably, in the step 3, each base tower is used as a single sample, and the power transmission line is further segmented by using a Fisher sequential clustering method, wherein the Fisher sequential clustering method is specifically divided into the following 6 parts:
1) extracting characteristic quantity;
2) respectively carrying out standardization processing on each characteristic quantity;
3) calculating the average value of the characteristic quantity of each section in each section scheme;
4) calculating variation of each section;
5) a is obtained to minimize the total variationk；
6) A segmentation scheme is formed.
Preferably, the step 4 is specifically divided into the following 3 parts:
1) establishing a power transmission line parameter module, and receiving the position information of the conducting wire and the ground wire determined by the pole tower model after the Fisher sequential clustering method segmentation in the data acquisition module;
2) calculating self mutual capacitance and inductance parameters of the power transmission line according to a power transmission line parameter calculation method derived according to an electromagnetic field theory;
3) and inputting the calculated data into the ATP file to realize the modification of the simulation model parameters.
Preferably, the ATP file in step 5 is located in ATP-EMTP of the Matlab platform, and the simulation model of the power transmission line is established by modifying the ATP file.
Preferably, the fault configuration simulation in step 6 is mainly to model and simulate the fault point and the fault type.
Compared with the prior art, the invention has the beneficial effects that:
the technical scheme of the invention is that an ATP-EMTP power transmission line induction electric model is automatically established by taking Matlab as a platform, the power transmission line is automatically segmented according to actual information based on Fisher sequential clustering, and the power transmission line information is automatically acquired based on a lead information base, a ground wire information base and a tower information base, on the basis, the acquired data is converted into simulation data which can be applied to a simulation model through calculation, and the simulation data is automatically filled into corresponding positions in the simulation model, so that the automatic establishment of power transmission line models with different types of faults occurring at different voltage levels, different running states and different positions is realized, the simulation accuracy and simulation efficiency are greatly improved, and the workload of operators is obviously reduced in the running and fault analysis of the power transmission line.
Drawings
FIG. 1 is a flow chart of a power transmission line inductive electrical simulation refined modeling method of the present invention;
FIG. 2 is a schematic structural diagram of step 1 of the present invention;
FIG. 3 is a flowchart of the method of step 2 of the present invention;
FIG. 4 is a flowchart of the method of step 3 of the present invention;
FIG. 5 is a flowchart of the method of step 4 of the present invention.
Detailed Description
To further understand the structure, characteristics and other objects of the present invention, the following detailed description is given with reference to the accompanying preferred embodiments, which are only used to illustrate the technical solutions of the present invention and are not to limit the present invention.
The first embodiment is as follows:
as shown in fig. 1, fig. 1 is a flowchart of a power transmission line induced electrical simulation refined modeling method of the present invention; the modeling method comprises the following steps:
step 1): establishing a database of the conducting wire, the ground wire and the tower;
step 2): data preprocessing and characteristic quantity extraction;
step 3): obtaining a segmentation scheme by Fisher sequential clustering;
step 4): calculating parameters of the power transmission line;
step 5): modifying the ATP file to realize the change of the model parameters;
step 6): fault configuration modeling simulation;
step 7): and generating a refined simulation model.
The method mainly comprises the steps of extracting data and characteristic quantities, establishing an information base of a lead wire, a ground wire and a tower, calculating parameters of a power transmission line, and modeling and simulating fault configuration.
In the data and characteristic quantity extraction, characteristic quantity extraction is carried out on each base tower, Fisher sequential clustering (optimal segmentation) is carried out on each tower after characteristics are extracted, the power transmission line is segmented, fine modeling is carried out on the power transmission line, and simulation accuracy is improved.
In the calculation of the power transmission line parameters, self-capacitance and mutual-capacitance inductance parameters of the power transmission line are calculated based on electromagnetic field theory, Kathon's theorem and other theories, the self-capacitance and mutual-capacitance inductance parameters are further applied, actual data extracted from the data extraction module are converted into power transmission line simulation parameters, the simulation parameters obtained through calculation are automatically filled into an ATP-EMTP simulation model based on Matlab, relevant simulation conditions are configured, and a refined simulation model is generated.
Example two:
as shown in fig. 2, fig. 2 is a schematic structural diagram of step 1 of the present invention; in step 1, a lead information base, a ground wire information base and a tower information base are respectively established according to the models of common lead wires, common ground wires and towers. The lead and ground wire information base mainly records the basic information of each type of lead and ground wire, including type, direct current resistance, outer diameter and the like; the tower information base is divided into two parts, namely a double-circuit same-tower information base and a single-circuit tower information base, and the positions of the conducting wires and the ground wires of each type of the double-circuit same-tower and the single-circuit tower are respectively recorded. The data extraction module accesses the contents of the lead and ground wire information bases and the tower information base according to the actual information of the power transmission line, can realize the automatic generation of the power transmission line parameters and inputs the power transmission line parameters into the power transmission line parameter module.
Example three:
as shown in fig. 3, fig. 3 is a flowchart of the method of step 2 of the present invention; in step 2, the data acquisition module operates on a computer to acquire actual information of the power transmission line so as to acquire information such as the return distance, the pole type, the calling scale and the like of each section of the power transmission line, and feature extraction is performed on each base pole tower in the power transmission line.
Example four:
as shown in fig. 4, fig. 4 is a flowchart of the method of step 3 of the present invention; in the step 3, each base tower is used as an independent sample, the data after feature extraction is classified into one class according to the standard that each feature is the same or similar by adopting a Fisher sequential clustering (optimal segmentation) method, the power transmission line is further segmented by taking the class as the standard, the power transmission line is segmented more scientifically and reasonably, the simulation accuracy is improved, and the defect that the segmentation is carried out by depending on the experience of operators in the existing scheme is overcome.
The Fisher sequential clustering method is specifically divided into the following 6 parts:
1) extracting characteristic quantity;
2) respectively carrying out standardization processing on each characteristic quantity;
3) calculating the average value of the characteristic quantity of each section in each section scheme;
4) calculating variation of each section;
5) a is obtained to minimize the total variationk；
6) A segmentation scheme is formed.
And (3) extracting the features of the ith base tower, and extracting j features in total, so that the ith base tower has the feature vectors:
Figure BDA0002904272600000071
first, each feature value is normalized to have a feature value range between (0, 1), and a min-max normalization method is adopted, including:
Figure BDA0002904272600000072
wherein: x' is a feature quantity after normalization,
xminis the minimum value of the sample characteristic quantity x,
xmaxis the maximum value of the sample characteristic quantity x.
There is a normalized feature vector X',
calculating the average value of the characteristic quantity of the kth section of samples as follows:
Figure BDA0002904272600000081
wherein, akThe last base tower of each segment is numbered.
Further, the sum of the squares of the dispersion of the k-th segment sample features is calculated, called variance:
Figure BDA0002904272600000082
if the number of segments is set to n, the total variation is:
Figure BDA0002904272600000083
make VGeneral assemblyMinimum all akAnd (3) finishing the automatic segmentation of the power transmission line.
Example five:
FIG. 5 is a flow chart of the method of step 4 of the present invention; in step 4, a power transmission line parameter module is established, the self-mutual capacitance and inductance parameters of the power transmission line are calculated according to the position information of the conducting wire and the ground wire determined by the pole tower model determined after further segmentation in the data acquisition module and a power transmission line parameter calculation method deduced according to an electromagnetic field theory, and the calculated data are input into ATP-EMTP to realize the modification of the simulation model parameters.
According to the relation between the voltage difference and the current of the power transmission line:
Figure BDA0002904272600000091
wherein, is Δ VkIs the voltage difference across the wire,
Ikin order for the current to flow through the wire,
diagonal element Zkk＝Rk+Rg+jωLkk，
Off-diagonal element Zkm＝Rg+jωLkm，
Then there are:
Figure BDA0002904272600000092
wherein, each matrix order is as follows: Δ VpIs 6X 1, Δ VgIs 2X 1, Z1Is 6X 6, Z2Is 6X 2, Z3Is 2X 6, Z4Is 2X 2, IpIs 6X 1, IgThe content of the compound is 2 multiplied by 1,
and for overhead earth wire deltavg0, so there is:
Figure BDA0002904272600000093
therefore:
Figure BDA0002904272600000094
then there are:
Figure BDA0002904272600000101
order to
Figure BDA0002904272600000102
Then Z is the impedance matrix considering the overhead ground wire with the diagonal elements being the equivalent self-impedance and the off-diagonal elements being the equivalent mutual impedance.
For the capacitance parameter, the following may be:
Figure BDA0002904272600000103
wherein the content of the first and second substances,
Figure BDA0002904272600000104
namely:
Figure BDA0002904272600000105
the overhead earth line to earth voltage is zero, i.e.
Figure BDA0002904272600000106
Then there are:
Figure BDA0002904272600000107
and further:
Figure BDA0002904272600000111
bring it into VpnComprises the following steps:
Figure BDA0002904272600000112
by
Figure BDA0002904272600000113
Conducting capacitance matrix C:
Figure BDA0002904272600000114
the diagonal elements are equivalent ground capacitances, and the off-diagonal elements are equivalent mutual capacitances.
And calculating the RLC parameters of each section of the power transmission line according to the two calculation modes.
Example six:
and (3) the ATP file in the step (5) is positioned in ATP-EMTP of a Matlab platform, the RLC parameters of each section of power transmission line calculated in the step (4) are automatically filled into an ATP-EMTP simulation model based on the Matlab platform, relevant simulation conditions are configured, and a refined simulation model is generated.
Example seven:
in the step 6, in order to perform simulation for different positions and different fault types of the power transmission line, an operator can set a fault point (the percentage of the total line length) and a fault type (an a/B/C single-phase grounding, an AB/AC/BC two-phase fault, an ABC three-phase fault) in the modeling simulation of fault configuration, so as to further realize simulation when different types of faults occur at different positions of different power transmission lines.
The method takes Matlab as a platform to automatically create an ATP-EMTP power transmission line induction electric model, automatically segments the power transmission line according to actual information based on Fisher sequential clustering, and automatically collects the power transmission line information based on a lead information base, a ground wire information base and a tower information base, converts the collected data into simulation data which can be applied to a simulation model through calculation on the basis, automatically fills the simulation data into corresponding positions in the simulation model, and realizes the automatic establishment of power transmission line models with different types of faults occurring at different voltage grades, different running states and different positions.
It should be noted that the above summary and the detailed description are intended to demonstrate the practical application of the technical solutions provided by the present invention, and should not be construed as limiting the scope of the present invention. Various modifications, equivalent substitutions, or improvements may be made by those skilled in the art within the spirit and principles of the invention. The scope of the invention is to be determined by the appended claims.

Claims (7)

1. A power transmission line induction electrical simulation refined modeling method is characterized by comprising the following steps:
step 1): establishing a database of the conducting wire, the ground wire and the tower;
step 2): data preprocessing and characteristic quantity extraction;
step 3): obtaining a segmentation scheme by Fisher sequential clustering;
step 4): calculating parameters of the power transmission line;
step 5): modifying the ATP file to realize the change of the model parameters;
step 6): fault configuration modeling simulation;
step 7): and generating a refined simulation model.
2. The modeling method according to claim 1, wherein the database in step 1 is divided into a conductor information base, a ground wire information base and a tower information base; the wire information base is used for recording the basic information of each type of wire; the ground wire information base is used for recording the basic information of ground wires of various types; the tower information base is divided into a double-circuit same-tower information base and a single-circuit tower information base, and the double-circuit same-tower information base is used for recording the positions of various types of lead wires and ground wires of double-circuit same-tower towers; and the single-circuit tower information base is used for recording the positions of various types of conductors and ground wires of the single-circuit tower.
3. The modeling method of claim 1, wherein the step 2 is specifically divided into the following 3 parts:
1) establishing a data acquisition module, and running on a computer;
2) the data acquisition module acquires actual information of the power transmission line so as to acquire information such as the return distance, the tower model and the call scale of each section of the power transmission line;
3) and extracting the characteristics of each base tower in the power transmission line.
4. The modeling method according to claim 1, wherein in the step 3, each base tower is taken as an individual sample, and the power transmission line is further segmented by using a Fisher sequential clustering method, wherein the Fisher sequential clustering method is specifically divided into the following 6 parts:
1) extracting characteristic quantity;
2) respectively carrying out standardization processing on each characteristic quantity;
3) calculating the average value of the characteristic quantity of each section in each section scheme;
4) calculating variation of each section;
5) a is obtained to minimize the total variationk；
6) A segmentation scheme is formed.
5. Modeling method according to claims 1-4, characterized in that step 4 is specifically divided into the following 3 parts:
1) establishing a power transmission line parameter module, and receiving the position information of the conducting wire and the ground wire determined by the pole tower model after the Fisher sequential clustering method segmentation in the data acquisition module;
2) calculating self mutual capacitance and inductance parameters of the power transmission line according to a power transmission line parameter calculation method derived according to an electromagnetic field theory;
3) and inputting the calculated data into the ATP file to realize the modification of the simulation model parameters.
6. The modeling method according to claim 1, wherein the ATP file in the step 5 is located in ATP-EMTP of Matlab platform, and the simulation model of the power transmission line is established by modifying the ATP file.
7. The modeling method of claim 1, wherein the fault configuration simulation in step 6 is primarily a modeling simulation of fault points and fault types.
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113608071A (en) * 2021-08-16 2021-11-05 国网重庆市电力公司黔江供电分公司 Method for establishing distribution network line fault analysis model
CN113688504A (en) * 2021-07-26 2021-11-23 南方电网科学研究院有限责任公司 Parameterized modeling method, system, medium and power terminal for line electromagnetic interference

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104573245A (en) * 2015-01-15 2015-04-29 国家电网公司 Computing method of ground wire loss in ultra high voltage power transmission line
CN105005207A (en) * 2015-05-29 2015-10-28 国家电网公司 Black-start overvoltage automatic check method based on ATP-EMTP
CN106649944A (en) * 2016-09-29 2017-05-10 国网山东省电力公司电力科学研究院 Simulation calculation method for power frequency sequence parameters of power transmission line
CN106646096A (en) * 2016-11-15 2017-05-10 国网四川省电力公司广安供电公司 Transformer fault classification and identification method based on vibration analysis method
CN107862150A (en) * 2017-11-20 2018-03-30 华南理工大学 A kind of unified modeling method based on tower structure Yu the multiple-loop line transmission line of electricity of wire parameter
CN109165441A (en) * 2018-08-22 2019-01-08 国网安徽省电力有限公司 The emulated computation method of parallel transmission line of alternation current induced voltage and electric current based on ATP-EMTP

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104573245A (en) * 2015-01-15 2015-04-29 国家电网公司 Computing method of ground wire loss in ultra high voltage power transmission line
CN105005207A (en) * 2015-05-29 2015-10-28 国家电网公司 Black-start overvoltage automatic check method based on ATP-EMTP
CN106649944A (en) * 2016-09-29 2017-05-10 国网山东省电力公司电力科学研究院 Simulation calculation method for power frequency sequence parameters of power transmission line
CN106646096A (en) * 2016-11-15 2017-05-10 国网四川省电力公司广安供电公司 Transformer fault classification and identification method based on vibration analysis method
CN107862150A (en) * 2017-11-20 2018-03-30 华南理工大学 A kind of unified modeling method based on tower structure Yu the multiple-loop line transmission line of electricity of wire parameter
CN109165441A (en) * 2018-08-22 2019-01-08 国网安徽省电力有限公司 The emulated computation method of parallel transmission line of alternation current induced voltage and electric current based on ATP-EMTP

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
S. ROBSON，ET AL.: "Simulation of Power Line Communication using ATP-EMTP and MATLAB", 《2010 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EYROPE(ISGT EUROPE) 》 *
姜锋，等.: "基于ATP－EMTP对新型输电线路杆塔接地型式的研究", 《电瓷避雷器》 *
王海洋，等.: "基于EMTP／ATP和Matlab的电力系统不平衡短路仿真与数据处理", 《金陵科技学院学报》 *
田宇，等.: "采用Fisher线性判别法提取GIS内部局部放电信号最优能量特征", 《中国电力》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113688504A (en) * 2021-07-26 2021-11-23 南方电网科学研究院有限责任公司 Parameterized modeling method, system, medium and power terminal for line electromagnetic interference
CN113688504B (en) * 2021-07-26 2024-03-22 南方电网科学研究院有限责任公司 Parameterized modeling method, system, medium and power terminal for line electromagnetic interference
CN113608071A (en) * 2021-08-16 2021-11-05 国网重庆市电力公司黔江供电分公司 Method for establishing distribution network line fault analysis model
CN113608071B (en) * 2021-08-16 2024-05-14 国网重庆市电力公司黔江供电分公司 Method for establishing distribution network line fault analysis model

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