CN113466609B - Deployment method of miniature synchronous measurement terminal for distribution network fault diagnosis - Google Patents
Deployment method of miniature synchronous measurement terminal for distribution network fault diagnosis Download PDFInfo
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- CN113466609B CN113466609B CN202110563017.8A CN202110563017A CN113466609B CN 113466609 B CN113466609 B CN 113466609B CN 202110563017 A CN202110563017 A CN 202110563017A CN 113466609 B CN113466609 B CN 113466609B
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 title claims abstract description 74
- 238000005259 measurement Methods 0.000 title claims abstract description 51
- 230000001360 synchronised effect Effects 0.000 title claims abstract description 51
- 238000012544 monitoring process Methods 0.000 claims abstract description 43
- 238000002955 isolation Methods 0.000 claims abstract description 14
- 239000011159 matrix material Substances 0.000 claims description 42
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/088—Aspects of digital computing
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- 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 a complex power distribution network, and discloses a miniature synchronous measurement terminal deployment method considering fault diagnosis of the power distribution network after DG access, which comprises the following steps: step one: 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 unprotected lines into low-fault diagnosis demand lines and high-fault diagnosis demand lines according to user demands; step two: the method comprises the steps of configuring a miniature synchronous measurement terminal on a protected line by using a rapid isolation arrangement method, configuring the miniature synchronous measurement terminal on a low-fault diagnosis requirement line by using a wide area monitoring method, and configuring the miniature synchronous measurement terminal on a high-fault diagnosis requirement line by using a local monitoring method. Compared with the prior art, the invention integrates a bus load classification criterion, a rapid isolation deployment method, a wide area monitoring method and a local monitoring method, and deploys a miniature synchronous measurement terminal in a power distribution network.
Description
Technical Field
The invention relates to the technical field of fault detection of complex power distribution networks, in particular to a miniature synchronous measurement terminal deployment method considering fault diagnosis of a distribution network after DG access.
Background
With the rapid development of economy and science, the structure of a modern power distribution network is more and more complex. The diversity of distributed power sources and loads results in frequent occurrence of power distribution network faults, so that monitoring of power distribution network node voltages and currents is a key link for solving the power distribution network faults. However, a large number of DGs are connected into the power distribution network to influence the power flow of the power distribution network, so that the traditional single-source radiation type power distribution network is changed into a multi-source interactive power distribution network, and the voltage and current monitoring requirement of the power distribution network is improved. Therefore, how to deploy miniature synchronous measurement terminals to monitor node voltage and current in a power distribution network is particularly important.
Disclosure of Invention
The invention aims to: aiming at the problems in the prior art, the invention provides a deployment method of a miniature synchronous measurement terminal, which considers fault diagnosis of a distribution network after DG access, integrates a bus load classification criterion, a rapid isolation deployment method, a wide area monitoring method and a local monitoring method, and deploys the miniature synchronous measurement terminal in a power distribution network.
The technical scheme is as follows: the invention provides a deployment method of a miniature synchronous measurement terminal considering distribution network fault diagnosis after DG access, which comprises the following steps:
step one: 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; the unprotected lines are classified into low-fault diagnosis demand lines and high-fault diagnosis demand lines according to user demands.
Step two: the method comprises the steps of configuring a miniature synchronous measurement terminal on a protected line by using a rapid isolation arrangement method, configuring the miniature synchronous measurement terminal on a low-fault diagnosis requirement line by using a wide area monitoring method, and configuring the miniature synchronous measurement terminal on a high-fault diagnosis requirement line by using a local monitoring method.
Further, the rapid isolation arrangement method specifically comprises the following steps:
SRia＝Xrp.×Kstate (1)
Wherein, S Ria is a deployment matrix of a rapid isolation deployment method used in protected lines, X rp is a coordinate matrix of all line switches in the power distribution network, and K state is a deployment state matrix of all line switches;
The matrix X rp of all the line switches in the power distribution network is:
Xrp＝[xrp1 xrp2 … xrpi … xrpn] (2)
Wherein x rpi is each line switch in the power distribution network, and i=1, 2..n, n is the total number of line switches in the power distribution network;
The deployment state matrix K state of all the line switches is:
Kstate＝[kstate1 kstate2 … kstatei … kstaten] (3)
Wherein k statei is a configuration coefficient of each line switch of the power distribution network.
Further, the wide area monitoring method specifically comprises the following steps:
SFda＝XFeeder.×KFeeder (4)
Wherein S Fda is a deployment matrix of using a wide area monitoring method on low-fault diagnosis demand lines, X Feeder is a coordinate matrix of all low-fault diagnosis demand lines in a power distribution network, and K Feeder is a deployment state matrix of all low-fault diagnosis demand lines in the power distribution network;
The coordinate matrix X Feeder of all low-fault diagnosis demand lines in the power distribution network is:
XFeeder＝[xFeeder1 xFeeder2 … xFeederi … xFeederm] (5)
Wherein x Feederi is each low-fault diagnosis demand line in the power distribution network, i=1, 2..m, m is the total number of low-fault diagnosis demand lines in the power distribution network;
The deployment state matrix K Feeder of all low-fault diagnosis demand lines in the power distribution network is:
KFeeder＝[kFeeder1 kFeeder2 … kFeederi … kFeederm] (6)
Wherein k Feederi is a configuration coefficient of each low-fault diagnosis demand line of the power distribution network.
Further, in the second step, the busbar load is classified:
Classifying according to the power quality demand of users, and determining by voltage drop depth and harmonic distortion rate; the load is divided into 5 classes, and the load is evenly distributed between 0% and 100% according to the power quality demand; the power quality requirements of the users are as follows:
proPowerquality＝f(proVoltagesag,proHarmonic) (7)
in the formula, pro Powerquality is the power quality requirement, pro Voltagesag is the voltage drop depth, and pro Harmonic is the harmonic distortion rate.
Further, when the power quality requirement of the load is 80% -100%, the load belongs to a class A load; when the power quality requirement of the load is 60% -80%, the load is B-class; when the power quality requirement of the load is between 40 and 60 percent, the load is C-class; when the power quality requirement of the load is 20% -40%, the load is D-class; when the power quality requirement of the load is between 0% and 20%, the load is class E.
Further, the local monitoring method specifically comprises the following steps:
6.1 -providing an effective monitoring radius (EFFECTIVE MONITORING RADIUS, EMR);
6.2 Determining EMR of miniature synchronous measurement terminals arranged near the bus bar load according to the classification of the load;
6.3 According to the total load capacity of feeder connection and different lengths of feeder lines, different numbers of miniature synchronous measurement terminals are configured.
Further, the EMR determination method of the miniature synchronous measurement terminal in the 6.2) near the bus load is as follows: if the load belongs to class A or class B, then the EMR of the load is about 2km; if the load belongs to C, D or class E, then the EMR of the load is between 3km and 6 km; the configuration method of the micro synchronous measurement terminal number in the step 6.3) comprises the following steps: when the length of the feeder exceeds 2km and the total load capacity connected with the feeder exceeds 1000kVA, setting a miniature synchronous measurement terminal at the first section of the feeder; when the total capacity is smaller than 1000kVA, two miniature synchronous measurement terminals are arranged at the first end and the last 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:
in the method, in the process of the invention, To use a deployment matrix of local monitoring methods at configurable points on the high fault diagnosis requirement bus,Coordinate matrix of configurable points on bus for high fault diagnosis requirement in power distribution networkA deployment state matrix of configurable points on a bus with high fault diagnosis requirements in the power distribution network; /(I)Only contains A, B kinds of information of loads; /(I)Configurable points on the demand bus for each high fault diagnosis with respect to A, B classes of loads,/>For the configuration coefficients of the configurable points on each high fault diagnosis requirement bus for a A, B class of load, i=1, 2..p, p being the total number of configurable points on the high fault diagnosis requirement bus for a A, B class of load; /(I)And/>And/>And/>And/>Is defined identically, but Only D, E, F kinds of load information are contained, and j=1, 2..q, q is the total number of configurable points on the high-fault diagnosis requirement bus for D, E, F kinds of load.
Further, the deployment formula of the miniature synchronous measurement terminal of the local monitoring method on the feeder line is as follows:
in the method, in the process of the invention, To use a deployment matrix of local monitoring methods at configurable points on the high fault diagnosis requirement feed line,Coordinate matrix of configurable points on feed line for high fault diagnosis requirement in power distribution networkA deployment state matrix of configurable points on a feed line for high fault diagnosis requirements in the power distribution network; /(I)For each configurable point on the high fault diagnosis requirement feed line, m=1, 2..r, r is the total number of configurable points on the high fault diagnosis requirement feed line; /(I)The configuration coefficients of the configurable points on the feeder are required for each high fault diagnosis.
The beneficial effects are that:
compared with the prior art, the invention integrates a bus load classification criterion, a rapid isolation deployment method, a wide area monitoring method and a local monitoring method, and deploys a miniature synchronous measurement terminal in a power distribution network. The miniature synchronous measurement terminal can be configured according to the classification of distribution network loads and user demands, and meanwhile the economy and the desirability of a power grid side and a user side are met.
Drawings
FIG. 1 is a typical DG access distribution network single-phase earth fault model;
Fig. 2 is a flowchart of deployment of DG access to a miniature synchronous measurement terminal of a power distribution network;
FIG. 3 is a graph of power quality demand for bus load classification;
FIG. 4 is a graph showing the deployment results of a typical DG-containing power distribution network single-phase ground fault model;
FIG. 5 is a waveform diagram of each miniature synchronous measurement terminal monitoring zero sequence current;
FIG. 6 is a faulty section selection result.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and are not intended to limit the scope of the present invention.
As shown in FIG. 1, a typical DG is connected to a single-phase earth fault model of a power distribution network, wherein the model comprises 1 busbar and 3 feeder lines, the power supply voltage is 110kV, the secondary side voltage of a transformer is 10kV, and the DG is connected between the busbars. The feeder line 1 has single-phase earth fault, the bus bar has 7 loads including DG, and each feeder line is connected with 2 loads.
The invention discloses a deployment method of a miniature synchronous measurement terminal considering fault diagnosis of a distribution network after DG access, which mainly comprises the following two steps as shown in figure 2:
step one: 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; the unprotected lines are classified into low-fault diagnosis demand lines and high-fault diagnosis demand lines according to user demands.
Step two: the method comprises the steps of configuring a miniature synchronous measurement terminal on a protected line by using a rapid isolation arrangement method, configuring the miniature synchronous measurement terminal on a low-fault diagnosis requirement line by using a wide area monitoring method, and configuring the miniature synchronous measurement terminal on a high-fault diagnosis requirement line by using a local monitoring method.
The quick isolation arrangement method in the second step is a configuration method for the miniature synchronous measurement terminal with the protection circuit. After the circuit configuration is completed, the miniature synchronous measurement terminal can be matched with the automatic tripping and nearby isolation of the fault section. The method comprises the following steps:
SRia＝Xrp.×Kstate (1)
Wherein, S Ria is a deployment matrix of a rapid isolation deployment method used in protected lines, X rp is a coordinate matrix of all line switches in the power distribution network, and K state is a deployment state matrix of all line switches;
the matrix X rp of all line switches in the distribution network is:
Xrp＝[xrp1 xrp2 … xrpi … xrpn] (2)
Wherein x rpi is each line switch in the power distribution network, and i=1, 2..n, n is the total number of line switches in the power distribution network;
The deployment state matrix K state for all line switches is:
Kstate＝[kstate1 kstate2 … kstatei … kstaten] (3)
Wherein k statei is a configuration coefficient of each line switch of the power distribution network.
The wide area monitoring method in the second step is a miniature synchronous measurement terminal configuration method for the low-fault diagnosis requirement line. After configuration, the micro synchronous measurement terminal can complete rough fault diagnosis, and the method is generally used for terminal configuration on a feed line, and specifically comprises the following steps:
SFda＝XFeeder.×KFeeder (4)
Wherein S Fda is a deployment matrix of using a wide area monitoring method on low-fault diagnosis demand lines, X Feeder is a coordinate matrix of all low-fault diagnosis demand lines in a power distribution network, and K Feeder is a deployment state matrix of all low-fault diagnosis demand lines in the power distribution network;
The coordinate matrix X Feeder of all low-fault diagnosis demand lines in the power distribution network is:
XFeeder＝[xFeeder1 xFeeder2 … xFeederi … xFeederm] (5)
Wherein x Feederi is each low-fault diagnosis demand line in the power distribution network, i=1, 2..m, m is the total number of low-fault diagnosis demand lines in the power distribution network;
The deployment state matrix K Feeder of all low-fault diagnosis demand lines in the power distribution network is:
KFeeder＝[kFeeder1 kFeeder2 … kFeederi … kFeederm] (6)
Wherein k Feederi is a configuration coefficient of each low-fault diagnosis demand line 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, a power quality requirement level curve for classification of bus loads is shown, and the bus loads are classified as shown in fig. 3:
Classifying according to the power quality demand of users, and determining by voltage drop depth and harmonic distortion rate; the load is divided into 5 classes, and the load is evenly distributed between 0% and 100% according to the power quality demand; the power quality requirements of the users are as follows:
proPowerquality＝f(proVoltagesag,proHarmonic) (7)
in the formula, pro Powerquality is the power quality requirement, pro Voltagesag is the voltage drop depth, and pro Harmonic is the harmonic distortion rate.
When the power quality requirement of the load is 80% -100%, the load belongs to a class A load; when the power quality requirement of the load is 60% -80%, the load is B-class; when the power quality requirement of the load is between 40 and 60 percent, the load is C-class; when the power quality requirement of the load is 20% -40%, the load is D-class; when the power quality requirement of the load is between 0% and 20%, the load is class E.
The local monitoring method in the second step comprises the following specific steps:
1) Effective monitoring radii (EFFECTIVE MONITORING RADIUS, EMR) are proposed.
2) According to the classification of the loads, EMR of miniature synchronous measurement terminals arranged near the bus load is determined, and miniature synchronous measurement terminals arranged near the bus load have different EMR. For example, if the load belongs to class A or class B, then the EMR of the load is about 2km; if the load is of the C, D or E type, the EMR of the load is between 3km and 6 km.
3) And configuring different numbers of miniature synchronous measurement terminals according to the total load capacity of feeder line connection and different lengths of feeder lines. The total load capacity of the feeder line connection is different from the length of each feeder line, the configuration method is also different, and when the length of the feeder line exceeds 2km and the total load capacity of the feeder line connection exceeds 1000kVA, a miniature synchronous measurement terminal is arranged at the first section of the feeder line; when the total capacity is smaller than 1000kVA, two miniature synchronous measurement terminals are arranged at the first end and the last 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:
in the method, in the process of the invention, To use a deployment matrix of local monitoring methods at configurable points on the high fault diagnosis requirement bus,Coordinate matrix of configurable points on bus for high fault diagnosis requirement in power distribution networkA deployment state matrix of configurable points on a bus with high fault diagnosis requirements in the power distribution network; /(I)Only contains A, B kinds of information of loads; /(I)Configurable points on the demand bus for each high fault diagnosis with respect to A, B classes of loads,/>For the configuration coefficients of the configurable points on each high fault diagnosis requirement bus for a A, B class of load, i=1, 2..p, p being the total number of configurable points on the high fault diagnosis requirement bus for a A, B class of load; /(I)And/>And/>And/>And/>Is defined identically, but Only D, E, F kinds of load information are contained, and j=1, 2..q, q is the total number of configurable points on the high-fault diagnosis requirement bus for D, E, F kinds of load.
The deployment formula of the miniature synchronous measurement terminal of the local monitoring method on the feed line is as follows:
in the method, in the process of the invention, To use a deployment matrix of local monitoring methods at configurable points on the high fault diagnosis requirement feed line,Coordinate matrix of configurable points on feed line for high fault diagnosis requirement in power distribution networkA deployment state matrix of configurable points on a feed line for high fault diagnosis requirements in the power distribution network; /(I)For each configurable point on the high fault diagnosis requirement feed line, m=1, 2..r, r is the total number of configurable points on the high fault diagnosis requirement feed line; /(I)The configuration coefficients of the configurable points on the feeder are required for each high fault diagnosis.
To sum up, as shown in fig. 4, the deployment result of the single-phase earth fault model of the typical DG-containing power distribution network in fig. 1 by the above method is that the MMT is a Micro synchronous measurement terminal (Micro-synchronization Monitoring Terminal), and a total of 11 MMTs are deployed.
As shown in fig. 5, each micro synchronous measurement terminal monitors zero sequence current waveform, and 11 MMTs monitor fault zero sequence current, so that the MMTs configured by the deployment method provided by the invention are effective for monitoring faults.
As shown in fig. 6, the fault section selection result is shown that the monitoring point with the highest zero sequence amplitude is numbered as feeder1_2, and the monitoring point with the next highest zero sequence amplitude is numbered as feeder1_1, so that a single-phase fault occurs between feeder1_1 and feeder1_2, and the fault section selection result is consistent with the preset fault. It is explained that the deployment method is effective for fault diagnosis.
The foregoing embodiments are merely illustrative of the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the present invention and to implement the same, not to limit the scope of the present invention. All equivalent changes or modifications made according to the spirit of the present invention should be included in the scope of the present invention.
Claims (2)
1. A deployment method of a miniature synchronous measurement terminal for distribution network fault diagnosis is characterized by comprising the following steps:
Step one: 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 unprotected lines into low-fault diagnosis demand lines and high-fault diagnosis demand lines according to user demands;
Step two: configuring a miniature synchronous measurement terminal on a protected line by using a rapid isolation arrangement method, configuring a miniature synchronous measurement terminal on a low-fault diagnosis demand line by using a wide area monitoring method, and configuring a miniature synchronous measurement terminal on a high-fault diagnosis demand line by using a local monitoring method;
the rapid isolation arrangement method specifically comprises the following steps:
SRia＝Xrp.×Kstate (1)
Wherein, S Ria is a deployment matrix of a rapid isolation deployment method used in protected lines, X rp is a coordinate matrix of all line switches in the power distribution network, and K state is a deployment state matrix of all line switches;
The matrix X rp of all the line switches in the power distribution network is:
Xrp＝[xrp1 xrp2 ··· xrpi ··· xrpn] (2)
Wherein x rpi is each line switch in the power distribution network, and i=1, 2..n, n is the total number of line switches in the power distribution network;
The deployment state matrix K state of all the line switches is:
Kstate＝[kstate1 kstate2 ··· kstatei ··· kstaten] (3)
Wherein k statei is a configuration coefficient of each line switch of the power distribution network;
The wide area monitoring method specifically comprises the following steps:
SFda＝XFeeder.×KFeeder (4)
Wherein S Fda is a deployment matrix of using a wide area monitoring method on low-fault diagnosis demand lines, X Feeder is a coordinate matrix of all low-fault diagnosis demand lines in a power distribution network, and K Feeder is a deployment state matrix of all low-fault diagnosis demand lines in the power distribution network;
The coordinate matrix X Feeder of all low-fault diagnosis demand lines in the power distribution network is:
XFeeder＝[xFeeder1 xFeeder2 ··· xFeederi ··· xFeederm] (5)
Wherein x Feederi is each low-fault diagnosis demand line in the power distribution network, i=1, 2..m, m is the total number of low-fault diagnosis demand lines in the power distribution network;
The deployment state matrix K Feeder of all low-fault diagnosis demand lines in the power distribution network is:
KFeeder＝[kFeeder1 kFeeder2 ··· kFeederi ··· kFeederm] (6)
Wherein k Feederi is a configuration coefficient of each low-fault diagnosis demand line of the power distribution network;
The local monitoring method specifically comprises the following steps:
step 1) effective monitoring of radius EMR is proposed;
Step 2) determining EMR of miniature synchronous measurement terminals arranged near the bus load according to the classification of the bus load;
And 3) configuring different numbers of miniature synchronous measurement terminals according to different total load capacity of feeder line connection and different lengths of feeder lines.
2. The deployment method of the miniature synchronous measurement terminal for the distribution network fault diagnosis according to claim 1, wherein the busbar load in the second step is classified:
Classifying according to the power quality demand of users, and determining by voltage drop depth and harmonic distortion rate; the load is divided into 5 classes, and the load is evenly distributed between 0% and 100% according to the power quality demand; the power quality requirements of the users are as follows:
proPowerquality＝f(proVoltagesag,proHarmonic) (7)
in the formula, pro Powerquality is the power quality requirement, pro Voltagesag is the voltage drop depth, and pro Harmonic is the harmonic distortion rate.
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