CN113466609A - Distribution network fault diagnosis micro synchronous measurement terminal deployment method considering DG access - Google Patents

Distribution network fault diagnosis micro synchronous measurement terminal deployment method considering DG access Download PDF

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CN113466609A
CN113466609A CN202110563017.8A CN202110563017A CN113466609A CN 113466609 A CN113466609 A CN 113466609A CN 202110563017 A CN202110563017 A CN 202110563017A CN 113466609 A CN113466609 A CN 113466609A
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fault diagnosis
distribution network
line
synchronous measurement
load
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CN113466609B (en
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汪洋
石旭初
杨仕伟
王彬
万路
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HuaiAn Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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HuaiAn Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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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
    • 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
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52—Outage or fault management, e.g. fault detection or location

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Abstract

The invention relates to the technical field of fault detection of complex power distribution networks, and discloses a deployment method of a micro synchronous measurement terminal considering distribution network fault diagnosis after DG access, which comprises the following steps: the method comprises the following steps: dividing a power distribution network line into a protected line and an unprotected line according to whether the line contains relay protection equipment or not; dividing the unprotected line into a line with low fault diagnosis requirement and a line with high fault diagnosis requirement according to the requirement of a user; step two: the method comprises the steps of configuring a micro synchronous measurement terminal on a protected line by using a rapid isolation arrangement method, configuring the micro synchronous measurement terminal on a low fault diagnosis demand line by using a wide area monitoring method, and configuring the micro synchronous measurement terminal on a high fault diagnosis demand line by using a local monitoring method. Compared with the prior art, the method integrates bus load classification criteria, a rapid isolation deployment method, a wide area monitoring method and a local monitoring method, and deploys the micro synchronous measurement terminal on the power distribution network.

Description

Distribution network fault diagnosis micro synchronous measurement terminal deployment method considering DG access
Technical Field
The invention relates to the technical field of fault detection of complex power distribution networks, in particular to a deployment method of a micro synchronous measurement terminal considering distribution network fault diagnosis after DG access.
Background
With the rapid development of economy and science and technology, the structure of a modern power distribution network is increasingly complex. The distributed power sources and the load diversity cause the frequent occurrence of the faults of the power distribution network, so that the monitoring of the voltage and the current of the nodes of the power distribution network is a key link for solving the faults of the power distribution network. However, the power flow of the power distribution network can be influenced by the fact that a large number of DGs are connected into the power distribution network, so that the traditional single-source radiation type power distribution network is changed into a multi-source interactive type power distribution network, and the requirement for monitoring the voltage and the current of the power distribution network is improved. Therefore, how to deploy the micro synchronous measurement terminal in the power distribution network to monitor the node voltage and the node current is very important.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the problems in the prior art, the invention provides a deployment method of a micro synchronous measurement terminal considering distribution network fault diagnosis after DG access, which integrates a bus load classification criterion, a rapid isolation deployment method, a wide area monitoring method and a local monitoring method and deploys the micro synchronous measurement terminal on a distribution network.
The technical scheme is as follows: the invention provides a deployment method of a micro synchronous measurement terminal considering distribution network fault diagnosis after DG access, which comprises the following steps:
the method comprises the following steps: dividing a power distribution network line into a protected line and an unprotected line according to whether the line contains relay protection equipment or not; and dividing the unprotected line into a line with low fault diagnosis requirement and a line with high fault diagnosis requirement according to the requirement of a user.
Step two: the method comprises the steps of configuring a micro synchronous measurement terminal on a protected line by using a rapid isolation arrangement method, configuring the micro synchronous measurement terminal on a low fault diagnosis demand line by using a wide area monitoring method, and configuring the micro synchronous measurement terminal on a high fault diagnosis demand line by using a local monitoring method.
Further, the rapid isolation arrangement method specifically comprises:
SRia＝Xrp.×Kstate (1)
wherein S isRiaFast isolation deployment for protected line usageDeployment matrix of method, XrpFor coordinate matrices, K, of all line switches in the distribution networkstateA deployment state matrix for all line switches;
matrix X of all line switches in the distribution networkrpComprises the following steps:
Xrp＝[xrp1 xrp2…xrpi…xrpn] (2)
in the formula, xrpiEach line switch in the power distribution network, wherein i is 1,2.. n, and n is the total number of the line switches in the power distribution network;
the deployment state matrix K of all the line switchesstateComprises the following steps:
Kstate＝[kstate1 kstate2…kstatei…kstaten] (3)
in the formula, kstateiAnd (4) configuring coefficients of all line switches of the power distribution network.
Further, the wide area monitoring method specifically comprises:
SFda＝XFeeder.×KFeeder (4)
in the formula, SFdaDeployment matrix, X, for use with wide area monitoring methods on lines with low fault diagnosis requirementsFeederCoordinate matrix, K, for all low fault diagnosis demand lines in a power distribution networkFeederA deployment state matrix of all low fault diagnosis demand lines in the power distribution network;
coordinate matrix X of all low fault diagnosis demand lines in power distribution networkFeederComprises the following steps:
XFeeder＝[xFeeder1 xFeeder2…xFeederi…xFeederm] (5)
in the formula, xFeederiFor each low fault diagnosis demand line in the power distribution network, i is 1,2.. m, and m is the total number of low fault diagnosis demand lines in the power distribution network;
deployment state matrix K of all low fault diagnosis demand lines in power distribution networkFeederComprises the following steps:
KFeeder＝[kFeeder1 kFeeder2…kFeederi…kFeederm] (6)
in the formula, kFeederiAnd (4) configuring coefficients of all low fault diagnosis required lines of the power distribution network.
Further, in the second step, the bus load is classified:
classifying according to the power quality demand of a user, and determining according to the voltage drop depth and the harmonic distortion rate; dividing the load into 5 types, and evenly distributing the load between 0% and 100% according to the power quality demand degree; the electric energy quality demand of the user is as follows:
proPowerquality＝f(proVoltagesag,proHarmonic) (7)
in the formula, proPowerqualityFor the power quality requirement, proVoltagesagTo the voltage sag depth, proHarmonicIs the harmonic distortion rate.
Further, when the load electric energy quality demand degree is between 80% and 100%, the load belongs to A-type loads; when the load electric energy quality demand degree is between 60% and 80%, the load is B type; when the load electric energy quality demand degree is between 40% and 60%, the load is of type C; when the load electric energy quality demand degree is between 20% and 40%, the load is in a D class; and when the load electric energy quality demand degree is between 0% and 20%, the load is in the E class.
Further, the local monitoring method specifically comprises the following steps:
6.1) effective monitoring of the radius (EMR);
6.2) determining EMR of a micro synchronous measurement terminal arranged near the bus load according to the load classification;
and 6.3) configuring different numbers of micro synchronous measurement terminals according to the difference between the total load capacity of the feeder line connection and the length of each feeder line.
Further, the EMR determination method of the micro synchronous measurement terminal near the bus load in 6.2) is as follows: if the load belongs to class A or B, the EMR of the load is about 2 km; if the load belongs to C, D or class E, the EMR of the load is between 3km and 6 km; the method for configuring the number of the micro synchronous measurement terminals in the step 6.3) comprises the following steps: when the length of the feeder line exceeds 2km and the total load capacity connected with the feeder line exceeds 1000kVA, a micro synchronous measurement terminal is arranged at the first section of the feeder line; and when the total capacity is less than 1000kVA, two micro synchronous measurement terminals are arranged at the head end and the tail end of the feeder line.
Further, the deployment formula of the miniature synchronous measurement terminal of the local monitoring method on the bus is as follows:
Figure BDA0003078634860000031
in the formula (I), the compound is shown in the specification,
Figure BDA0003078634860000032
a deployment matrix using local monitoring methods for configurable points on a bus with high fault diagnosis requirements,
Figure BDA0003078634860000033
a coordinate matrix of configurable points on a demand bus for high fault diagnosis in a power distribution network,
Figure BDA0003078634860000034
a deployment state matrix of configurable points on a high fault diagnosis demand bus in the power distribution network is obtained;
Figure BDA0003078634860000035
only containing information of A, B type loads;
Figure BDA0003078634860000036
for each configurable point on the high fault diagnostic demand bus for a load of class A, B,
Figure BDA0003078634860000037
the configuration coefficient of the configurable points on the high fault diagnosis demand bus for A, B types of loads is that i is 1,2.. p, and p is the total number of the configurable points on the high fault diagnosis demand bus for A, B types of loads;
Figure BDA0003078634860000038
and
Figure BDA0003078634860000039
and
Figure BDA00030786348600000310
and
Figure BDA00030786348600000311
and
Figure BDA00030786348600000312
are as defined above, but
Figure BDA00030786348600000313
Figure BDA00030786348600000314
Only D, E, F-class loads are included, and j 1,2.. q, q is the total number of configurable points on the bus for high fault diagnosis requirements for D, E, F-class loads.
Further, the deployment formula of the miniature synchronous measurement terminal of the local monitoring method on the feeder line is as follows:
Figure BDA0003078634860000041
in the formula (I), the compound is shown in the specification,
Figure BDA0003078634860000042
a deployment matrix using local monitoring methods for configurable points on high fault diagnosis demand feeders,
Figure BDA0003078634860000043
a coordinate matrix of configurable points on feeder lines is required for high fault diagnosis in the power distribution network,
Figure BDA0003078634860000044
a deployment state matrix of configurable points on a feeder line for high fault diagnosis requirements in a power distribution network;
Figure BDA0003078634860000045
the configurable points are configured on each feeder line with high fault diagnosis requirement, wherein m is 1,2.. r, and r is the total number of the configurable points on the feeder line with high fault diagnosis requirement;
Figure BDA0003078634860000046
and configuring coefficients of configurable points on feeder lines for each high fault diagnosis requirement.
Has the advantages that:
compared with the prior art, the method integrates bus load classification criteria, a rapid isolation deployment method, a wide area monitoring method and a local monitoring method, and deploys the micro synchronous measurement terminal on the power distribution network. The miniature synchronous measurement terminal can be configured according to the distribution network load classification and the user requirement, and meanwhile, the economy and the demand of the power grid side and the user side are met.
Drawings
FIG. 1 is a single-phase earth fault model of a typical DG access distribution network;
fig. 2 is a flowchart of the deployment of a DG access distribution network micro synchronous measurement terminal;
FIG. 3 is a power quality demand curve for bus load classification;
FIG. 4 shows a deployment result of a single-phase earth fault model of a typical DG-containing power distribution network;
FIG. 5 is a waveform diagram of zero sequence current monitored by each micro synchronous measurement terminal;
FIG. 6 shows the results of the selection of the faulty section.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
Fig. 1 shows a single-phase earth fault model of a typical DG access power distribution network, which includes 1 bus and 3 feeders, a power supply voltage of 110kV, a voltage of 10kV at the secondary side of a transformer, and a DG connected between the buses. The feeder1 has single-phase earth fault, the bus comprises DG and has 7 loads, each feeder is connected with 2 loads.
The invention discloses a deployment method of a micro synchronous measurement terminal considering distribution network fault diagnosis after DG access, which mainly comprises two steps as shown in figure 2, wherein the two steps are as follows:
the method comprises the following steps: dividing a power distribution network line into a protected line and an unprotected line according to whether the line contains relay protection equipment or not; and dividing the unprotected line into a line with low fault diagnosis requirement and a line with high fault diagnosis requirement according to the requirement of a user.
Step two: the method comprises the steps of configuring a micro synchronous measurement terminal on a protected line by using a rapid isolation arrangement method, configuring the micro synchronous measurement terminal on a low fault diagnosis demand line by using a wide area monitoring method, and configuring the micro synchronous measurement terminal on a high fault diagnosis demand line by using a local monitoring method.
And the rapid isolation arrangement method in the step two is a configuration method for the micro synchronous measurement terminal with the protection circuit. After the line configuration is completed, the micro synchronous measurement terminal can be finally matched with the fault section to realize automatic tripping and nearby isolation. The method specifically comprises the following steps:
SRia＝Xrp.×Kstate (1)
wherein S isRiaDeployment matrix, X, for use with fast isolation deployment methods on protected linesrpFor coordinate matrices, K, of all line switches in the distribution networkstateA deployment state matrix for all line switches;
matrix X of all line switches in a power distribution networkrpComprises the following steps:
Xrp＝[xrp1 xrp2…xrpi…xrpn] (2)
in the formula, xrpiEach line switch in the power distribution network, wherein i is 1,2.. n, and n is the total number of the line switches in the power distribution network;
deployment state matrix K for all line switchesstateComprises the following steps:
Kstate＝[kstate1 kstate2…kstatei…kstaten] (3)
in the formula, kstateiAnd (4) configuring coefficients of all line switches of the power distribution network.
And step two, the wide area monitoring method is a micro synchronous measurement terminal configuration method for the line with low fault diagnosis requirement. After configuration, the micro synchronous measurement terminal can complete rough fault diagnosis, and the method is generally used for terminal configuration on a feeder line, and specifically comprises the following steps:
SFda＝XFeeder.×KFeeder (4)
in the formula, SFdaDeployment matrix, X, for use with wide area monitoring methods on lines with low fault diagnosis requirementsFeederCoordinate matrix, K, for all low fault diagnosis demand lines in a power distribution networkFeederA deployment state matrix of all low fault diagnosis demand lines in the power distribution network;
coordinate matrix X of all low fault diagnosis demand lines in power distribution networkFeederComprises the following steps:
XFeeder＝[xFeeder1 xFeeder2…xFeederi…xFeederm] (5)
in the formula, xFeederiFor each low fault diagnosis demand line in the power distribution network, i is 1,2.. m, and m is the total number of low fault diagnosis demand lines in the power distribution network;
deployment state matrix K of all low fault diagnosis demand lines in power distribution networkFeederComprises the following steps:
KFeeder＝[kFeeder1 kFeeder2…kFeederi…kFeederm] (6)
in the formula, kFeederiAnd (4) configuring coefficients of all low fault diagnosis required lines of the power distribution network.
Referring to fig. 1, for a typical DG access distribution network single-phase ground fault model in this embodiment, as shown in fig. 3, an electric energy quality demand degree curve for bus load classification is shown, and bus loads are classified as shown in fig. 3:
classifying according to the power quality demand of a user, and determining according to the voltage drop depth and the harmonic distortion rate; dividing the load into 5 types, and evenly distributing the load between 0% and 100% according to the power quality demand degree; the electric energy quality demand of the user is as follows:
proPowerquality＝f(proVoltagesag,proHarmonic) (7)
in the formula, proPowerqualityFor the power quality requirement, proVoltagesagTo the voltage sag depth, proHarmonicIs the harmonic distortion rate.
When the load electric energy quality demand degree is between 80% and 100%, the load belongs to A-type load; when the load electric energy quality demand degree is between 60% and 80%, the load is B type; when the load electric energy quality demand degree is between 40% and 60%, the load is of type C; when the load electric energy quality demand degree is between 20% and 40%, the load is in a D class; and when the load electric energy quality demand degree is between 0% and 20%, the load is in the E class.
Therefore, the local monitoring method in the second step comprises the following specific steps:
1) effective Monitoring of Radius (EMR) is proposed.
2) Determining the EMR of the micro-synchronous measurement terminals arranged near the bus bar load according to the load classification, wherein the micro-synchronous measurement terminals arranged near the bus bar load have different EMRs. For example, if the load belongs to class A or class B, the EMR of the load is about 2 km; if the load belongs to C, D or class E, the EMR of the load is between 3km and 6 km.
3) And configuring different numbers of micro synchronous measurement terminals according to the total load capacity of feeder line connection and different lengths of the feeder lines. When the length of the feeder line exceeds 2km and the total load capacity connected with the feeder line exceeds 1000kVA, a micro synchronous measurement terminal is arranged at the first section of the feeder line; and when the total capacity is less than 1000kVA, two micro synchronous measurement terminals are arranged at the head end and the tail end of the feeder line.
The deployment formula of the miniature synchronous measurement terminal of the local monitoring method on the bus is as follows:
Figure BDA0003078634860000071
in the formula (I), the compound is shown in the specification,
Figure BDA0003078634860000072
a deployment matrix using local monitoring methods for configurable points on a bus with high fault diagnosis requirements,
Figure BDA0003078634860000073
a coordinate matrix of configurable points on a demand bus for high fault diagnosis in a power distribution network,
Figure BDA0003078634860000074
a deployment state matrix of configurable points on a high fault diagnosis demand bus in the power distribution network is obtained;
Figure BDA0003078634860000075
only containing information of A, B type loads;
Figure BDA0003078634860000076
for each configurable point on the high fault diagnostic demand bus for a load of class A, B,
Figure BDA0003078634860000077
the configuration coefficient of the configurable points on the high fault diagnosis demand bus for A, B types of loads is that i is 1,2.. p, and p is the total number of the configurable points on the high fault diagnosis demand bus for A, B types of loads;
Figure BDA0003078634860000078
and
Figure BDA0003078634860000079
and
Figure BDA00030786348600000710
and
Figure BDA00030786348600000711
and
Figure BDA00030786348600000712
are as defined above, but
Figure BDA00030786348600000713
Figure BDA00030786348600000714
Only D, E, F-class loads are included, and j 1,2.. q, q is the total number of configurable points on the bus for high fault diagnosis requirements for D, E, F-class loads.
The deployment formula of the miniature synchronous measurement terminal of the local monitoring method on the feeder line is as follows:
Figure BDA00030786348600000715
in the formula (I), the compound is shown in the specification,
Figure BDA00030786348600000716
a deployment matrix using local monitoring methods for configurable points on high fault diagnosis demand feeders,
Figure BDA00030786348600000720
a coordinate matrix of configurable points on feeder lines is required for high fault diagnosis in the power distribution network,
Figure BDA00030786348600000717
a deployment state matrix of configurable points on a feeder line for high fault diagnosis requirements in a power distribution network;
Figure BDA00030786348600000718
the configurable points are configured on each feeder line with high fault diagnosis requirement, wherein m is 1,2.. r, and r is the total number of the configurable points on the feeder line with high fault diagnosis requirement;
Figure BDA00030786348600000719
and configuring coefficients of configurable points on feeder lines for each high fault diagnosis requirement.
In summary, as shown in fig. 4, a deployment result of the single-phase ground fault model of the typical DG-containing power distribution network in fig. 1 by using the method is shown, and the MMTs are Micro-synchronous measurement terminals (Micro-synchronous monitoring terminals), and 11 MMTs are deployed in total.
As shown in fig. 5, which is a waveform diagram of zero-sequence current monitored by each micro synchronous measurement terminal, 11 MMTs all monitor the fault zero-sequence current, so that the MMT configured by the deployment method provided by the present invention is effective for monitoring the fault.
As shown in fig. 6, as to the fault section selection result, the monitoring point with the highest zero sequence amplitude is numbered as feeder1_2, and the monitoring point with the second highest zero sequence amplitude is numbered as feeder1_1, so that a single-phase fault occurs between the feeder1_1 and the feeder1_2, and the fault section selection result is consistent with the preset fault. The deployment method is shown to be effective for fault diagnosis.
The above embodiments are merely illustrative of the technical concepts and features of the present invention, and the purpose of the embodiments is to enable those skilled in the art to understand the contents of the present invention and implement the present invention, and not to limit the protection scope of the present invention. All equivalent changes and modifications made according to the spirit of the present invention should be covered within the protection scope of the present invention.

Claims (9)

1. A distribution network fault diagnosis miniature synchronous measurement terminal deployment method after DG access is considered, which is characterized by comprising the following steps:
the method comprises the following steps: dividing a power distribution network line into a protected line and an unprotected line according to whether the line contains relay protection equipment or not; dividing the unprotected line into a line with low fault diagnosis requirement and a line with high fault diagnosis requirement according to the requirement of a user;
step two: the method comprises the steps of configuring a micro synchronous measurement terminal on a protected line by using a rapid isolation arrangement method, configuring the micro synchronous measurement terminal on a low fault diagnosis demand line by using a wide area monitoring method, and configuring the micro synchronous measurement terminal on a high fault diagnosis demand line by using a local monitoring method.
2. The deployment method of the micro synchronous measurement terminal considering the distribution network fault diagnosis after the DG access as claimed in claim 1, wherein the rapid isolation deployment method is specifically as follows:
SRia＝Xrp.×Kstate (1)
wherein S isRiaDeployment matrix, X, for use with fast isolation deployment methods on protected linesrpFor coordinate matrices, K, of all line switches in the distribution networkstateA deployment state matrix for all line switches;
matrix X of all line switches in the distribution networkrpComprises the following steps:
Xrp＝[xrp1 xrp2 … xrpi … xrpn] (2)
in the formula, xrpiEach line switch in the power distribution network, wherein i is 1,2.. n, and n is the total number of the line switches in the power distribution network;
the deployment state matrix K of all the line switchesstateComprises the following steps:
Kstate＝[kstate1 kstate2 … kstatei … kstaten] (3)
in the formula, kstateiAnd (4) configuring coefficients of all line switches of the power distribution network.
3. The deployment method of the micro synchronous measurement terminal considering the distribution network fault diagnosis after the DG access as claimed in claim 1, wherein the wide area monitoring method is specifically as follows:
SFda＝XFeeder.×KFeeder (4)
in the formula, SFdaDeployment matrix, X, for use with wide area monitoring methods on lines with low fault diagnosis requirementsFeederCoordinate matrix, K, for all low fault diagnosis demand lines in a power distribution networkFeederA deployment state matrix of all low fault diagnosis demand lines in the power distribution network;
coordinate matrix X of all low fault diagnosis demand lines in power distribution networkFeederComprises the following steps:
XFeeder＝[xFeeder1 xFeeder2 … xFeederi … xFeederm] (5)
in the formula, xFeederiFor each low fault diagnosis demand line in the power distribution network, i is 1,2.. m, and m is the total number of low fault diagnosis demand lines in the power distribution network;
deployment state matrix K of all low fault diagnosis demand lines in power distribution networkFeederComprises the following steps:
KFeeder＝[kFeeder1 kFeeder2 … kFeederi … kFeederm] (6)
in the formula, kFeederiAnd (4) configuring coefficients of all low fault diagnosis required lines of the power distribution network.
4. The deployment method of the micro-synchronous measurement terminal considering the distribution network fault diagnosis after DG access in claim 1, wherein in the second step, the bus loads are classified as follows:
classifying according to the power quality demand of a user, and determining according to the voltage drop depth and the harmonic distortion rate; dividing the load into 5 types, and evenly distributing the load between 0% and 100% according to the power quality demand degree; the electric energy quality demand of the user is as follows:
proPowerquality＝f(proVoltagesag,proHarmonic) (7)
in the formula, proPowerqualityFor the power quality requirement, proVoltagesagTo the voltage sag depth, proHarmonicIs the harmonic distortion rate.
5. The deployment method of the miniature synchronous measurement terminal considering the distribution network fault diagnosis after the DG access as described in claim 4, wherein when the demand degree of the load electric energy quality is between 80% and 100%, the load electric energy quality belongs to A-type load; when the load electric energy quality demand degree is between 60% and 80%, the load is B type; when the load electric energy quality demand degree is between 40% and 60%, the load is of type C; when the load electric energy quality demand degree is between 20% and 40%, the load is in a D class; and when the load electric energy quality demand degree is between 0% and 20%, the load is in the E class.
6. The deployment method of the micro synchronous measurement terminal considering the distribution network fault diagnosis after the DG access as claimed in claim 5, wherein the local monitoring method is specifically as follows:
6.1) Effective Monitoring of Radius (EMR);
6.2) determining EMR of a micro synchronous measurement terminal arranged near the bus load according to the load classification;
and 6.3) configuring different numbers of micro synchronous measurement terminals according to the difference between the total load capacity of the feeder line connection and the length of each feeder line.
7. The deployment method of the micro-synchronous measurement terminal considering the distribution network fault diagnosis after DG access in claim 6, wherein the EMR determination method of the micro-synchronous measurement terminal near the bus load in 6.2) is as follows: if the load belongs to class A or B, the EMR of the load is about 2 km; if the load belongs to C, D or class E, the EMR of the load is between 3km and 6 km; the method for configuring the number of the micro synchronous measurement terminals in the step 6.3) comprises the following steps: when the length of the feeder line exceeds 2km and the total load capacity connected with the feeder line exceeds 1000kVA, a micro synchronous measurement terminal is arranged at the first section of the feeder line; and when the total capacity is less than 1000kVA, two micro synchronous measurement terminals are arranged at the head end and the tail end of the feeder line.
8. The deployment method of the miniature synchronous measurement terminal considering the distribution network fault diagnosis after the DG access of claim 7, wherein the deployment formula of the miniature synchronous measurement terminal of the local monitoring method on the bus is as follows:
Figure FDA0003078634850000031
in the formula (I), the compound is shown in the specification,
Figure FDA0003078634850000032
configurable point-of-use bureau on high fault diagnosis demand busThe deployment matrix of the partial monitoring method,
Figure FDA0003078634850000033
a coordinate matrix of configurable points on a demand bus for high fault diagnosis in a power distribution network,
Figure FDA0003078634850000034
a deployment state matrix of configurable points on a high fault diagnosis demand bus in the power distribution network is obtained;
Figure FDA0003078634850000035
only containing information of A, B type loads;
Figure FDA0003078634850000036
for each configurable point on the high fault diagnostic demand bus for a load of class A, B,
Figure FDA0003078634850000037
the configuration coefficient of the configurable points on the high fault diagnosis demand bus for A, B types of loads is that i is 1,2.. p, and p is the total number of the configurable points on the high fault diagnosis demand bus for A, B types of loads;
Figure FDA0003078634850000038
and
Figure FDA0003078634850000039
and
Figure FDA00030786348500000310
and
Figure FDA00030786348500000311
and
Figure FDA00030786348500000312
are as defined above, but
Figure FDA00030786348500000313
Figure FDA00030786348500000314
Only D, E, F-class loads are included, and j 1,2.. q, q is the total number of configurable points on the bus for high fault diagnosis requirements for D, E, F-class loads.
9. The deployment method of the miniature synchronous measurement terminal considering the distribution network fault diagnosis after the DG access of claim 7, wherein the deployment formula of the miniature synchronous measurement terminal of the local monitoring method on the feeder line is as follows:
Figure FDA0003078634850000041
in the formula (I), the compound is shown in the specification,
Figure FDA0003078634850000042
a deployment matrix using local monitoring methods for configurable points on high fault diagnosis demand feeders,
Figure FDA0003078634850000043
a coordinate matrix of configurable points on feeder lines is required for high fault diagnosis in the power distribution network,
Figure FDA0003078634850000044
a deployment state matrix of configurable points on a feeder line for high fault diagnosis requirements in a power distribution network;
Figure FDA0003078634850000045
the configurable points are configured on each feeder line with high fault diagnosis requirement, wherein m is 1,2.. r, and r is the total number of the configurable points on the feeder line with high fault diagnosis requirement;
Figure FDA0003078634850000046
and configuring coefficients of configurable points on feeder lines for each high fault diagnosis requirement.
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