CN110133449B - Power distribution network line parameter identification method and system under configuration of observable miniature PMU faults - Google Patents

Power distribution network line parameter identification method and system under configuration of observable miniature PMU faults Download PDF

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CN110133449B
CN110133449B CN201910530851.XA CN201910530851A CN110133449B CN 110133449 B CN110133449 B CN 110133449B CN 201910530851 A CN201910530851 A CN 201910530851A CN 110133449 B CN110133449 B CN 110133449B
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贠志皓
宋哲
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Shandong University
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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
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/22—Flexible AC transmission systems [FACTS] or power factor or reactive power compensating or correcting units

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Abstract

The disclosure provides a power distribution network line parameter identification method and system under the condition of observable micro PMU fault configuration. The method for identifying the line parameters of the power distribution network under the condition of considerable fault configuration of the miniature PMU comprises the steps of calculating voltage phasors between a node which is not configured with the miniature PMU and a miniature PMU node configured at the tail end of a line of adjacent nodes in different directions, further determining inconsistent voltage deviation of the node which is not configured with the miniature PMU and identifying a line with parameter deviation; and constructing a node voltage equation containing parameter deviation, and solving accurate line parameters of the power distribution network line.

Description

Power distribution network line parameter identification method and system under configuration of observable miniature PMU faults
Technical Field
The disclosure belongs to the field of power distribution network line parameter identification, and particularly relates to a power distribution network line parameter identification method and system under the condition of observable micro PMU fault configuration.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Accurate power grid model parameters are the basis of power distribution network fault positioning accuracy. Therefore, the method for determining the accurate line parameters of the power distribution network has important theoretical and practical significance for improving the fault positioning accuracy of the power distribution network. The power distribution network has more network branches, complex operation environment and relatively loose parameter management, so that parameter deviation may exist in line parameters. However, the number of distribution network configuration measurement devices is much smaller than that of a transmission network, and therefore, a transmission network parameter identification method based on real-time measurement is not suitable for a distribution network, and how to realize effective identification and parameter correction of a parameter deviation line based on a distribution network measurement device currently faces a greater challenge.
Currently, the parameter identification algorithms are mainly classified into the following two categories, namely a parameter identification method based on an augmented state estimation method and a parameter identification method based on a measurement residual sensitivity method. The method for estimating the state of the augmentation is to estimate the state variable which can be directly augmented by parameters, and the method solves the problem through a static method or a Kalman filtering algorithm based on a regular equation. But this method requires that the suspect parameter set is determined in advance. The method for measuring residual sensitivity is based on the result of state estimation, and suspicious parameters in the network are identified and corrected according to the measured residual and the sensitivity of the parameters. The parameter identification result of the method is greatly influenced by manually setting a threshold value and measuring residual errors.
The inventor finds that the line parameter identification method mainly aims at a power transmission network and needs real-time measurement data at two ends of a line, and the configuration number of measurement devices of a power distribution network is less than that of the power transmission network, so that the fault location algorithm is not suitable for the power distribution network.
Disclosure of Invention
In order to solve the above problem, a first aspect of the present disclosure provides a method for identifying parameters of a power distribution network line under an observable configuration of a micro PMU fault, which can effectively identify and correct error parameters of the line under the observable configuration of the micro PMU fault, and effectively improve accuracy of fault location.
In order to achieve the purpose, the following technical scheme is adopted in the disclosure:
a method for identifying power distribution network line parameters under the condition of considerable micro PMU fault configuration comprises the following steps:
calculating voltage phasor between a node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions, and further determining inconsistent voltage deviation of the node which is not provided with the miniature PMU and identifying the line with parameter deviation;
and constructing a node voltage equation containing parameter deviation, and solving accurate line parameters of the power distribution network line.
The second aspect of the disclosure provides a power distribution network line parameter identification system under the observable configuration of miniature PMU faults, which can effectively identify and correct error parameters of a line and effectively improve the accuracy of fault location under the observable configuration of miniature PMU faults.
A system for identifying power distribution network line parameters under the condition of observable micro PMU fault configuration comprises:
the deviation identification module is used for calculating voltage phasor between a node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions, further determining inconsistent deviation of the voltage of the node which is not provided with the miniature PMU and identifying the line with parameter deviation;
and the accurate line parameter solving module is used for constructing a node voltage equation containing parameter deviation and solving the accurate line parameters of the power distribution network line.
A third aspect of the present disclosure provides a computer-readable storage medium, which can effectively identify and correct an error parameter of a line and effectively improve accuracy of fault location for a micro PMU fault observability configuration.
A computer readable storage medium, on which a computer program is stored, which when executed by a processor, performs the steps of the method for identifying parameters of a distribution network line in a micro-PMU fault observable configuration as described above.
A fourth aspect of the present disclosure provides a computer device, which can effectively identify and correct an error parameter of a line and effectively improve accuracy of fault location for a micro PMU fault observability configuration.
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method for identifying parameters of a power distribution network line under a configuration with observable miniature PMU faults as described above.
The beneficial effects of this disclosure are:
according to the method, firstly, the voltage phasor calculated by different lines in different directions is determined through the unconfigured micro PMU node, the line with parameter deviation is identified, then a node voltage equation containing the parameter deviation is constructed, the accurate line parameter of the power distribution network line is solved, the error parameter of the line can be effectively identified and corrected under the micro PMU fault observability configuration, and the fault positioning accuracy is improved.
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The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
Fig. 1 is a flowchart of a method for identifying power distribution network line parameters under a configuration with observable micro PMU faults according to an embodiment of the present disclosure.
Fig. 2 is a schematic diagram of a positive sequence network structure of a multi-branch radial power distribution network according to an embodiment of the present disclosure.
Fig. 3 is a schematic diagram of a direction of parameter deviation existing in a network-wide non-measurement node according to an embodiment of the disclosure.
Fig. 4 is a schematic structural diagram of a radiative power distribution network including distributed power sources 10 according to an embodiment of the present disclosure.
Fig. 5 is a schematic structural diagram of a power distribution network line parameter identification system under an arrangement where a micro PMU fault is observable according to an embodiment of the present disclosure.
Detailed Description
The present disclosure is further described with reference to the following drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
Interpretation of terms:
PMU: the device is an abbreviation of phaser measurement unit, has a Chinese name of phasor measurement unit, and is a highly integrated synchronous phasor measurement device convenient for installation and application.
Fault observability: when a line fails, the installed micro PMU can be used for accurate positioning, which indicates that the micro PMU configuration scheme meets the observability of line faults.
In the embodiment of the disclosure, the micro PMU measuring device is configured on the branch at the tail end of the power distribution network, and when a line fails, accurate fault positioning can be realized, so that the power distribution network under the micro PMU configuration scheme meets the requirement of line fault observability.
Example one
Fig. 1 shows a flowchart of a method for identifying parameters of a power distribution network line under an appreciable configuration of a micro PMU fault according to this embodiment.
As shown in fig. 1, in this embodiment, a method for identifying a power distribution network line parameter under an appreciable configuration of a micro PMU fault includes:
s101: and calculating voltage phasor between the node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions, and further determining inconsistent voltage deviation of the node which is not provided with the miniature PMU and identifying the line with parameter deviation.
Aiming at the condition that a certain line parameter of the power distribution network has deviation, the voltage phasor of a certain node obtained by calculating the line parameter has deviation from an actual value; and the voltage phasor of a certain node calculated by accurate line parameters is equal to the actual value. Therefore, voltage phasors calculated by lines in different directions through nodes without the micro PMU are used for determining inconsistent voltage deviation of the nodes, and the lines with parameter deviation are identified.
Because the fault location algorithm is based on the line parameter positive sequence component, identifying and correcting the line positive sequence parameter can improve the fault location algorithm, and the technical scheme of the present disclosure is explained in detail based on the voltage and current phasor positive sequence component and the line positive sequence parameter as examples:
firstly, positive sequence voltage phasors of different adjacent lines of a node without the micro PMU are calculated, and inconsistent deviation of the voltage of the node and the direction of the adjacent lines with the inconsistent deviation are determined. According to the topological structure of the power distribution network and the parameters of the positive sequence line shown in the figure 2, the voltage grade of the power distribution network is low, the length of the line is relatively short, the parallel conductance and susceptance to the ground are ignored by the line model, and only the values of the series resistance and the reactance are considered.
The following derivation is made by taking node N without a PMU measurement device as an example:
in FIG. 2, ZMI、ZMN、ZMP、ZNH、ZNQ、ZHG、ZHK、ZUV、ZVW、ZVJRepresenting the existing value of the impedance parameter of the line positive sequence component;
Figure BDA0002099704990000051
represents a microThe positive sequence component measurement of the current phasor at PMU measurement node I, J, P, G, Q, W is from the bus side to the line side.
Figure BDA0002099704990000061
Representing the positive sequence component measurement of the voltage phasor at the PMU measurement node I, J, P, G, Q, W.
The positive sequence voltage phasor of the node N is calculated by configuring the voltage and current phasor of the node of the micro PMU at the tail end of the line of the adjacent node in different directions. Given that the node N adjacent node is the node M, H, Q, the end of the directional line of each adjacent node is configured with a micro PMU node as the node I, J, Q, and the positive-sequence voltage phasor of the node M is obtained by calculating the measured value of the electrical quantity of the node I, J, Q.
The positive sequence voltage phasor of the node N is calculated by the positive sequence voltage and current phasor of the adjacent node M, the node H and the node Q, and the calculation process is shown as the formula (1):
Figure BDA0002099704990000062
wherein the content of the first and second substances,
Figure BDA0002099704990000063
representing the positive sequence voltage phasor of the node N obtained by calculating the positive sequence voltage current phasor of the node M;
Figure BDA0002099704990000064
representing a node N positive sequence voltage phasor calculated by a node H positive sequence voltage current phasor;
Figure BDA0002099704990000065
represents the node N positive sequence voltage phasor calculated from the node Q positive sequence voltage current phasor;
Figure BDA0002099704990000066
represents the positive sequence current phasor flowing from the node M to the node N;
Figure BDA0002099704990000067
indicating positive flow of node H to node NA sequence current phasor;
Figure BDA0002099704990000068
represents the positive sequence current phasor flowing from the node Q to the node N;
Figure BDA0002099704990000069
a voltage phasor positive sequence component calculation value representing the node M;
Figure BDA00020997049900000610
the voltage phasor positive sequence component calculation value representing the node H.
The known positive sequence voltage and current phasor of the node Q are obtained by converting the three-phase voltage and current phasor obtained by the synchronous phasor measurement device through a symmetrical component method, and the positive sequence voltage and current phasor of the unmeasured node H and the node M are indirectly calculated by configuring a power supply node J and a power supply node I measured by a micro PMU at two ends of a circuit according to the formulas (2) and (3):
Figure BDA0002099704990000071
Figure BDA0002099704990000072
node N three groups of positive sequence voltage calculation values obtained from different directions of adjacent nodes
Figure BDA0002099704990000073
And determining the inconsistent voltage deviation D between every two, as shown in the formula (4):
Figure BDA0002099704990000074
wherein D isMHThe calculated value of the positive sequence voltage of the node N in the direction of the node M is inconsistent with the calculated value of the positive sequence voltage of the node N in the direction of the node Q; dHQThe calculated value of the positive sequence voltage of the node N in the direction of the node Q is inconsistent with the calculated value of the positive sequence voltage of the node N in the direction of the node H; dQMNode N positive voltage calculation for node Q directionThe value deviates from the calculated value of the positive sequence voltage of node N in the direction of node M, N represents the total number of sampling time sections,
Figure BDA0002099704990000075
represents the positive sequence voltage phasor of the node N calculated by the node M for the ith sampling section,
Figure BDA0002099704990000076
represents the positive sequence voltage phasor of the node N calculated by the node H for the ith sampling section,
Figure BDA0002099704990000077
and represents the positive sequence voltage phasor of the node N calculated by the node Q in the ith sampling section.
Analyzing three groups of inconsistent deviations, and judging the direction of the line with the parameter deviation according to the following rules:
1) if there is no deviation in the positive sequence parameter of the whole network line, i.e. the current value of the positive sequence parameter is an accurate value, the voltage inconsistency deviation satisfies the relationship shown in equation (5), because of the consideration of the measurement error and other factors, the voltage inconsistency deviation is less than the threshold ξ close to 0:
DMH＝DHQ＝DQM<ξ (5)
2) if the positive sequence parameter of a certain line of the whole network has deviation, the positive sequence impedance parameter Z of the line is usedMNFor example, a value is calculated from the positive sequence voltage component of node N in the direction of node M
Figure BDA0002099704990000081
Compared with the calculated values in other directions, the positive sequence voltages of the three groups of nodes N have different deviations, and therefore the positive sequence voltages of the three groups of nodes N meet the relation of the formula (6):
Figure BDA0002099704990000082
wherein λ is a positive real number different from zero, and represents a voltage inconsistency deviation DMHAnd DQMNumerical values.
And judging according to the voltage inconsistency deviation, wherein the direction of the parameter deviation existing at the node N is the direction of the node M.
If the positive sequence voltage values of the voltage phasors between the miniature PMU node which is not configured with the miniature PMU node and the miniature PMU node configured at the tail end of the line of the adjacent nodes in different directions are calculated to be equal, the existing value of the full-network line parameter of the power distribution network is an accurate value; if the positive sequence voltage value of the voltage phasor between the miniature PMU node which is not configured with the miniature PMU node and the miniature PMU node which is configured at the end of the line of the adjacent node in a certain direction has inconsistent deviation compared with other directions, the fact that the miniature PMU node which is not configured with the miniature PMU node has parameter deviation is determined, and the line in the inconsistent direction is the line with the parameter deviation.
For example: and obtaining the equal calculated values of the positive sequence voltage quantities of the nodes N through calculation in different directions, wherein the existing values of the positive sequence parameters of the whole network line are accurate values.
Positive sequence impedance parameter Z if line MNMNAnd judging that the node N has a parameter deviation direction by judging that the calculated value of the positive sequence voltage quantity of the node N in the direction of the node M has inconsistent deviation compared with the calculated value of the positive sequence voltage quantity of the node N in other directions.
And respectively traversing all measurement nodes M, N, H, K … V of the non-configured miniature PMU of the whole network, calculating the inconsistent deviation of the respective voltages, and determining the deviation direction of the parameters of each node.
Taking the deviation of the positive sequence impedance parameters of the line MN as an example, analyzing the deviation direction of the parameters of each node:
the direction of the parameter deviation existing in the node M is the direction of the node N, the direction of the parameter deviation existing in the node N is the direction of the node M, the direction of the parameter deviation existing in the node H is the direction of the node N, the direction of the parameter deviation existing in the node K is the direction of the node H, and the direction of the parameter deviation existing in the node V is the direction of the node T, as shown in FIG. 3. Judging a parameter deviation line through the following criteria: the direction of parameter deviation of the line end points with inaccurate parameters is opposite.
S102: and constructing a node voltage equation containing parameter deviation, and solving accurate line parameters of the power distribution network line.
Finally determining the parameter deviation line as line MN according to the deviation direction of each node, and the positive sequence impedance parameter Z thereofMNThe existing value and the accurate value have deviation, and the pair line is aligned by a node voltage equation containing parameter deviationPositive sequence impedance parameter Z of way MNMNAnd (5) performing parameter correction.
It is known that the parameter deviation exists in the line MN through traversing the parameter deviation direction of each node, so that the existing value Z of the positive sequence impedance parameterMNAnd actual value Z'MNNot equal, the relationship is shown in equation (9):
ZMN＝RMN+jXMN(7)
Z'MN＝R'MN+jX'MN(8)
Z'MN＝ZMN+ΔZMN(9)
wherein Z isMNAnd Z'MNRepresenting the positive sequence impedance value, R, of the line MN before and after modificationMNAnd R'MNIndicating the positive sequence resistance, X, of the line MN before and after correctionMNAnd X'MNIndicating the positive sequence reactance value, Δ Z, of the line MN before and after correctionMNRepresenting the line MN positive sequence impedance parameter deviation.
Taking into account positive sequence parameter deviation Δ ZMNColumn write modified post-node admittance matrix Y'busWhere node admittance matrix Y'busMatrix element of (1) and positive sequence parameter deviation Δ ZMNRelated is Y'NM，Y'MN，Y'MM，Y'NN。
Figure BDA0002099704990000091
Wherein, Y'busRepresents a corrected node admittance matrix, Y'MNAnd Y'NMRepresents the mutual admittance, Y 'of the node M and the node N after correction'MMRepresents the self-admittance, Y 'of the node M after correction'NNIndicating the modified self-admittance, Y, of the node NIIDenotes the self-admittance, Y, of node IIMAnd YMIRepresenting the mutual admittance, Y, of node I and node MMPAnd YPMRepresenting the mutual admittance, Y, of node M and node PPPRepresenting the self-admittance, Y, of the node PNPRepresenting the mutual admittance, Y, of node N and node PNHAnd YHNDenotes the mutual admittance, Y, of node N and node HQNRepresenting the mutual admittance, Y, of node Q and node NQQDenotes the self-admittance of node Q, YHHDenotes the self-admittance, Y, of node HVWDenotes the mutual admittance, Y, of node V and node WVVDenotes the self-admittance, Y, of node VVJAnd YJVDenotes the mutual admittance, Y, of node V and node JJJRepresenting the self-admittance of node J.
Y'MN＝Y'NM＝-(ZMN+ΔZMN)-1(11)
Figure BDA0002099704990000101
Figure BDA0002099704990000102
The known node I and the node J are power supply nodes, the positive sequence current phasor of the micro PMU measuring device arranged at the two points is known, and a positive sequence current vector is injected; all node positive sequence voltage vectors are as shown in equation (16), and it is known that node I, P, Q … W, J is equipped with a micro PMU measurement device, so that the positive sequence voltage phasor is a known quantity. From the corrected node positive sequence admittance matrix Y'busAnd constructing a node voltage equation by using the positive sequence voltage and current vector.
Y’busU＝Is(14)
Figure BDA0002099704990000103
Figure BDA0002099704990000104
Where U represents the positive sequence voltage vector of all nodes, IsIndicating that the power supply node is injecting a positive sequence current vector,
Figure BDA0002099704990000105
a positive sequence voltage vector representing the node N,
Figure BDA0002099704990000106
representing a positive sequence voltage vector at node V.
Knowing nodes related to parameter deviation as a node M and a node N, expanding node admittance matrixes in an M-th row and an N-th row, expressing positive sequence voltage phasors of the node M and the node N by configuring positive sequence voltage phasors and current phasors of a micro PMU node I and a node Q, and expanding a node voltage equation:
Figure BDA0002099704990000107
Figure BDA0002099704990000111
Figure BDA0002099704990000112
Figure BDA0002099704990000113
calculating positive sequence voltage phasor of node M and node N by positive sequence voltage phasor of node I and node Q of miniature PMU
Figure BDA0002099704990000114
And
Figure BDA0002099704990000115
as shown in the following formula:
Figure BDA0002099704990000116
Figure BDA0002099704990000117
the corrected node admittance matrix element Y 'is processed'NN、Y'MM、Y'MNSubstituted into node voltage expansion equations (23) and (24), the line MN positive sequence impedance parameter deviation delta ZMNThe calculation formula of (2):
Figure BDA0002099704990000118
Figure BDA0002099704990000119
substituting the positive sequence voltage phasor calculation results of the node M and the node NN into equations (23) and (24), and calculating the positive sequence parameter deviation delta Z of the line MNMN。
Solving accurate value Z 'of positive sequence impedance parameter of line MN'MN：
Z'MN＝ZMN+ΔZMN(25)
Analysis by calculation example:
in order to verify the feasibility and effectiveness of the parameter identification and parameter correction algorithm for the parameter deviation line, the parameter correction analysis is performed on the multi-branch radial 10-node active power distribution network in the embodiment. The micro PMU configuration is satisfied, the micro PMU configuration nodes are nodes 801, 803, 805, 807, 809 and 810, the line adopts a three-phase impedance equivalent model considering positive and negative zero sequences, the parameter types are divided into two types, the 301 type line (801 plus 802, 802 plus 804, 804 plus 806, 806 plus 808 and 808 plus 810), and the line parameters are (
Figure BDA0002099704990000121
Figure BDA0002099704990000122
L3011 km); a 302 type line (802-
Figure BDA0002099704990000123
Figure BDA0002099704990000124
L302＝1km，
Figure BDA0002099704990000125
) As shown in fig. 4.
The validity of the parameter deviation line identification and parameter correction algorithm is verified by assuming that the existing values of the line positive sequence impedance parameters of the lines 802-803, 802-804, 804-806, 808-810 deviate.
Parameter deviation line identification
Assuming that the existing values of the positive sequence impedance parameters Z of the lines 802-:
TABLE 1 line 802-
Figure BDA0002099704990000126
Figure BDA0002099704990000131
As can be seen from Table 1, when the existing values of the positive sequence impedance parameters of the lines 802-803, 802-804, 804-806, 808-810 are biased, the parameter bias line calibration algorithm can effectively identify the biased line.
(II) simulation and analysis of deviation correction of line parameters
Assuming that the existing values of the line positive sequence impedance parameters Z of the lines 802-:
TABLE 2 line parameter bias correction results
Figure BDA0002099704990000132
Figure BDA0002099704990000141
Through simulation verification, parameter deviations of different lines can be accurately corrected, and correction accuracy is high.
For the case that the positive sequence parameter of the individual line is not accurate. In order to ensure the practicability of the provided fault positioning method, on the basis of the configuration condition of a distribution network micro PMU with considerable faults, if a line with inaccurate positive sequence parameters exists in a radial network structure, the voltage of non-measurement nodes is calculated point by point from different directions to judge the line with inaccurate positive sequence parameters by combining the measurement voltage and current of different measurement points with the topology and the line parameters, and then the accurate line positive sequence parameters are obtained by constructing a node voltage equation containing parameter deviation and solving. The method has the advantages that the situation that different parameters of different lines have different deviations is assumed through simulation, the error parameters of the lines can be effectively identified and corrected under the condition of micro PMU fault observability configuration, and the method can effectively improve the accuracy of fault positioning through comparing the positioning results of the fault positioning algorithm before and after parameter correction.
Example two
As shown in fig. 5, this embodiment provides a system for identifying parameters of a power distribution network line under an appreciable configuration of micro PMU faults, including:
(1) and the deviation identification module is used for calculating voltage phasor between the node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions, further determining inconsistent deviation of the voltage of the node which is not provided with the miniature PMU and identifying the line with parameter deviation.
In the deviation identification module, if the positive sequence voltage values of the voltage phasors between the node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions are calculated to be equal, the current value of the line parameter of the whole network of the power distribution network is an accurate value.
In the deviation identification module, if there is an inconsistent deviation between the positive sequence voltage value of the voltage phasor between the miniature PMU node not configured with the miniature PMU node and the miniature PMU node configured at the line end of the adjacent node in a certain direction and the voltage phasor in other directions, it is determined that there is a parameter deviation in the miniature PMU node not configured with the miniature PMU node.
In the deviation identification module, the lines in the inconsistent directions are lines with parameter deviation.
(2) And the accurate line parameter solving module is used for constructing a node voltage equation containing parameter deviation and solving the accurate line parameters of the power distribution network line.
According to the method, firstly, voltage phasors calculated by circuits in different directions through the nodes without the micro PMU are used for determining inconsistent voltage deviation of the nodes, the circuits with parameter deviation are identified, then a node voltage equation containing the parameter deviation is constructed, accurate circuit parameters of the power distribution network circuit are solved, error parameters of the circuits can be effectively identified and corrected under the condition of micro PMU fault observability configuration, and the fault positioning accuracy is improved.
EXAMPLE III
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of:
calculating voltage phasor between a node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions, and further determining inconsistent voltage deviation of the node which is not provided with the miniature PMU and identifying the line with parameter deviation;
and constructing a node voltage equation containing parameter deviation, and solving accurate line parameters of the power distribution network line.
According to the method, firstly, voltage phasors calculated by circuits in different directions through the nodes without the micro PMU are used for determining inconsistent voltage deviation of the nodes, the circuits with parameter deviation are identified, then a node voltage equation containing the parameter deviation is constructed, accurate circuit parameters of the power distribution network circuit are solved, error parameters of the circuits can be effectively identified and corrected under the condition of micro PMU fault observability configuration, and the fault positioning accuracy is improved.
Example four
The embodiment provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the program to implement the following steps:
calculating voltage phasor between a node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions, and further determining inconsistent voltage deviation of the node which is not provided with the miniature PMU and identifying the line with parameter deviation;
and constructing a node voltage equation containing parameter deviation, and solving accurate line parameters of the power distribution network line.
According to the method, firstly, voltage phasors calculated by circuits in different directions through the nodes without the micro PMU are used for determining inconsistent voltage deviation of the nodes, the circuits with parameter deviation are identified, then a node voltage equation containing the parameter deviation is constructed, accurate circuit parameters of the power distribution network circuit are solved, error parameters of the circuits can be effectively identified and corrected under the condition of micro PMU fault observability configuration, and the fault positioning accuracy is improved.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.

Claims (6)

1. A method for identifying power distribution network line parameters under the condition of considerable micro PMU fault configuration is characterized by comprising the following steps:
calculating voltage phasor between a node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions, and further determining inconsistent voltage deviation of the node which is not provided with the miniature PMU and identifying the line with parameter deviation;
constructing a node voltage equation containing parameter deviation, and solving accurate line parameters of the power distribution network line;
if the positive sequence voltage values of the voltage phasors between the miniature PMU node which is not configured with the miniature PMU node and the miniature PMU node configured at the tail end of the line of the adjacent nodes in different directions are calculated to be equal, the existing value of the full-network line parameter of the power distribution network is an accurate value;
and if the positive sequence voltage value of the voltage phasor between the unconfigured micro PMU node and the micro PMU node configured at the line end of the adjacent node in a certain direction has inconsistent deviation compared with other directions, determining that the unconfigured micro PMU node has parameter deviation.
2. The method according to claim 1, wherein the lines in different directions are lines with parameter deviation.
3. A system for identifying power distribution network line parameters under the condition of observable micro PMU fault configuration is characterized by comprising:
the deviation identification module is used for calculating voltage phasor between a node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions, further determining inconsistent deviation of the voltage of the node which is not provided with the miniature PMU and identifying the line with parameter deviation;
the accurate line parameter solving module is used for constructing a node voltage equation containing parameter deviation and solving accurate line parameters of the power distribution network line;
in the deviation identification module, if the positive sequence voltage values of the voltage phasors between the node which is not provided with the miniature PMU and the miniature PMU node arranged at the tail end of the line of the adjacent nodes in different directions are calculated to be equal, the existing value of the line parameter of the whole network of the power distribution network is an accurate value;
in the deviation identification module, if there is an inconsistent deviation between the positive sequence voltage value of the voltage phasor between the miniature PMU node not configured with the miniature PMU node and the miniature PMU node configured at the line end of the adjacent node in a certain direction and the voltage phasor in other directions, it is determined that there is a parameter deviation in the miniature PMU node not configured with the miniature PMU node.
4. The system according to claim 3, wherein in the deviation identification module, the lines in different directions are lines with parameter deviation.
5. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, performs the steps of the method for identifying parameters of a power distribution network in a micro-PMU fault observable configuration as set forth in any one of claims 1-2.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps in the method for identifying power distribution grid parameters in a micro-PMU fault observable configuration according to any of claims 1-2.
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