CN117498537A - Monitoring method and monitoring device for T-connection power distribution network - Google Patents

Monitoring method and monitoring device for T-connection power distribution network Download PDF

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Publication number
CN117498537A
CN117498537A CN202311269347.1A CN202311269347A CN117498537A CN 117498537 A CN117498537 A CN 117498537A CN 202311269347 A CN202311269347 A CN 202311269347A CN 117498537 A CN117498537 A CN 117498537A
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voltage
monitoring node
monitoring
formula
hidden danger
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Inventor
熊一
廖晓红
孙利平
张洪
许汉平
周蠡
李智威
马莉
熊川羽
舒思睿
蔡杰
陈然
周英博
贺兰菲
王巍
张赵阳
唐学军
明月
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Economic and Technological Research Institute of State Grid Hubei Electric Power Co Ltd
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Economic and Technological Research Institute of State Grid Hubei Electric Power Co Ltd
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Priority to CN202311269347.1A priority Critical patent/CN117498537A/en
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00006—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
    • H02J13/00022—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment using wireless data transmission
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Human Computer Interaction (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The voltage monitoring method is realized based on an intelligent processing module, a display upper-level switchboard, a voltage monitoring module and a wireless transmission module; after receiving the voltage information sent by each monitoring node, the intelligent processing module calculates to obtain the back-thrust bus power supply voltage of each monitoring node, and compares the back-thrust bus power supply voltage of each monitoring node with the back-thrust bus power supply voltage of an adjacent segment monitoring node or an adjacent branch monitoring node, or compares the back-thrust bus power supply voltage of each monitoring node with the previous back-thrust bus power supply voltage, so as to obtain the hidden danger rate of the monitoring node. The node hidden danger rate can be obtained through the difference of the back-push bus power supply voltage of each monitoring node in the space dimension or the time dimension, and the danger level of each monitoring node can be obtained quickly by combining the difference of the back-push bus power supply voltage of each monitoring node in the space dimension and the difference of the back-push bus power supply voltage of each monitoring node in the time dimension.

Description

Monitoring method and monitoring device for T-connection power distribution network
Technical Field
The invention relates to risk monitoring for a T-junction power distribution network, in particular to a monitoring method and a monitoring device for the T-junction power distribution network.
Background
Along with the promotion of energy internet construction and power grid digital transformation, the power grid has set higher requirements on the depth, breadth and density of information perception, and the large-scale application of the power sensor is beneficial to improving the power grid operation management level, constructing a flexible, stable and safe energy network, wherein the voltage is one of the most important working parameters in the power grid, the working safety of the power grid is related at the moment, and the method has important significance for monitoring the power grid state. For the current commonly used T-junction distribution network, the T-junction distribution network is provided with a plurality of loop wires, the loop wires are mutually close in space and mutually connected in circuit, and are mutually influenced in the working process, when one loop wire is problematic, if the problem can not be found in time, the switching off of all loads on the whole distribution line can be stopped or even damaged, and the problem can be relieved by adding the bypass, reasonable segmentation and other wiring measures, however, the power grid can be furthest protected only by timely identifying possible accidents, and the problem is prevented.
As an important parameter for monitoring the health state of a power grid, how to continuously, conveniently and intelligently measure the voltage data of the power distribution network in real time becomes a problem to be solved, and the current power distribution network voltage monitoring system is to set independent monitoring nodes and displays for all nodes in the power distribution system, and record and display the voltage data through monitoring display screens of all the nodes.
While such a device can effectively monitor voltage data throughout the power distribution network, it still has the following drawbacks:
1. in actual engineering, the collection of voltage data requires personnel to go to the ground in person and go to each monitoring node for one by one recording, and the data collection process cannot be real-time and convenient and is difficult to meet engineering specifications.
2. The technical scheme of transmitting the voltage data of each monitoring node to the telephone exchange in real time through the data cable is difficult to realize stably and reliably for a long time due to the complex wiring structure and the severe wiring environment, and cannot be popularized and used.
3. The collected voltage data are disordered, a large amount of collected data need to be manually processed, high labor cost and high time cost are consumed, the processing is not time-efficient, the return rate is low, the network distribution accident cannot be prevented from happening, and huge economic loss is caused.
The disclosure of this background section is only intended to increase the understanding of the general background of the application and should not be taken as an admission or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art.
Disclosure of Invention
The invention aims to overcome the defects that data can not be collected in real time and stably and the data processing has no timeliness in the prior art, and provides a monitoring method for a T-connection power distribution network, which can collect the data in real time and stably and has timeliness in the data processing.
In order to achieve the above object, the technical solution of the present invention is:
a monitoring method for a T-junction power distribution network, the monitoring method based on a voltage monitoring structure of the T-junction power distribution network comprising: the system comprises a distribution bus, a plurality of switch devices, a plurality of branch lines, an intelligent processing module, a display upper-level switchboard, a plurality of voltage monitoring modules and a wireless transmission module;
two ends of the distribution bus are respectively connected with a transmission bus or a power supply, a plurality of switch devices are connected in series on the distribution bus, and a plurality of branch lines are connected in parallel on the distribution bus between the adjacent switch devices;
the voltage monitoring module comprises a voltage transformer and a low-voltage voltmeter, wherein a primary winding of the voltage transformer is connected in parallel with the corresponding branch line, a secondary winding of the voltage transformer is connected in parallel with the low-voltage voltmeter, the wireless transmission module comprises a wireless receiver and a plurality of wireless transmitters, and the wireless transmitters are respectively arranged corresponding to the low-voltage voltmeter;
the monitoring method comprises the following steps:
s1, data definition and collection are carried out, an operator counts the number of monitoring nodes in a T-junction power distribution network and marks each monitoring node, meanwhile, the operator stores the transformation ratio of a transformer between each monitoring node and a distribution bus in an intelligent processing module, data definition is completed to carry out data collection, each voltage monitoring module monitors the voltage of a corresponding branch line in real time and sends voltage information to the intelligent processing module, the intelligent processing module calculates the reverse-push bus voltage matrix of the T-junction power distribution network through the voltage of each monitoring node and the transformation ratio of the corresponding transformer, and S1 data definition and collection are completed and S2 data analysis is carried out;
S2, data analysis is carried out, after the intelligent processing module obtains a reverse-push bus voltage matrix of the T-junction power distribution network, hidden danger information of each monitoring node is obtained through calculation, at the moment, S2 data analysis is completed, hidden danger information of each monitoring node is sent to a display upper-level switchboard, and S3 data display is carried out;
s3, displaying the data, wherein after the intelligent processing module obtains the hidden danger information of each monitoring node, the hidden danger information is sent to the display upper-level telephone exchange, and after the display upper-level telephone exchange receives the hidden danger information of each monitoring node, the hidden danger information is displayed through a display screen of the display upper-level telephone exchange.
The voltage signal output ends of the low-voltage meters are respectively connected with the voltage signal input ends of the corresponding wireless transmitters, the voltage signal output ends of the wireless transmitters are respectively connected with the voltage signal input ends of the wireless receivers through wireless signals, and the voltage signal output ends of the wireless receivers are connected with the voltage signal input ends of the intelligent processing module through signals.
The step S1 comprises the following steps:
s1.1, defining initial data, wherein a distribution bus between adjacent switch devices is a section of the distribution bus, an operator counts the number of sections of the distribution bus in a T-junction power distribution network to be m, the number of parallel branch lines 3 in each section on the distribution bus is n, at the moment, m multiplied by n is the number of monitoring nodes in the T-junction power distribution network, the monitoring nodes of the j-th branch of the i-th section in the T-junction power distribution network are defined as (i, j) -th monitoring nodes, and the transformation ratio of a transformer between the distribution bus and the (i, j) -th monitoring nodes is defined as k ij The operator connects the T-junction power distribution network with the transformation ratio k of each monitoring node ij Are all stored in the intelligent processing module to obtain a storage transformation ratio matrix k in the database of the intelligent processing module Ratio of change And calculate the intelligent processing module database according to formula (1)Storing a transformation ratio matrix k Ratio of change ：
S1.2, voltage information is sent, the primary windings of all the voltage transformers monitor corresponding branch line voltage values in real time, meanwhile, the low-voltage voltmeter monitors voltage values of the secondary windings of the voltage transformers in real time, the monitored voltage values of the secondary windings of the voltage transformers are sent to the wireless transmission module, and the wireless transmission module sends the voltage values to the intelligent processing module by using a preset password communication protocol after receiving the voltage values of the secondary windings of the voltage transformers;
s1.3, acquiring the voltage of each monitoring node, and calculating a corresponding branch line voltage value according to a formula (2) after the intelligent processing module receives the voltage value of the secondary winding of the voltage transformer:
U 1 ＝k feel of the sense U 2 (2)
U in (2) 1 For the primary winding side voltage, the primary winding side voltage is equal to the branch voltage value, k Feel of the sense U is the transformation ratio of the voltage transformer 2 Is the secondary winding side voltage;
s1.4, summarizing data, and acquiring branch line voltage values U obtained in the voltages of all monitoring nodes by the intelligent processing module according to the S1.3 1 Summarizing and storing in an internal database by the formula (3):
u in (3) present To sum up the voltage value U of each monitoring node 1 Real-time voltage matrix of rear T-connection power distribution network, U p For real-time voltage detected by the voltage transformer, U pij Real-time voltage value U for (i, j) monitoring node in T-connection power distribution network 1 ；
S1.5, calculating a voltage matrix of a distribution bus and an intelligent processing moduleU obtained by summarizing S1.4 data pij And S1.1 define k obtained from the initial data Ratio of change The Hadamard product is calculated by the formula (4):
u in (4) kpresent And (5) a back-push busbar voltage matrix of the T-connection power distribution network.
The step S2 comprises the following steps:
s2.1.1, judging a hidden danger rate calculation formula, and judging a hidden danger rate calculation formula applicable to each monitoring node by the intelligent processing module according to the following conditions:
1) When the monitoring node (i, j) satisfies the formula (5), calculating the hidden danger rate by using the formula (6):
2) When i in the monitoring node (i, j) is equal to 0 or m, calculating the hidden danger rate by using the formula (7),
3) When j in the monitoring node (i, j) is equal to 0 or n, calculating the hidden danger rate by using the formula (8);
s2.1.2, calculating hidden danger rate of each monitoring node,
in formula (6), E rij The hidden danger rate of the monitoring node (i, j), the number of the monitoring node (i+1, j) which is the same as the number of the branch in the next section adjacent to the monitoring node (i, j), the number of the monitoring node (i, j+1) which is the next branch in the same section as the monitoring node (i, j), the number of the monitoring node (i+1, j+1) which is the number of the monitoring node (i, j) which is the next branch in the next section adjacent to the monitoring node (i, j),
Monitoring node of ith section and jth branch in T-junction power distribution network
In the formulas (7) and (8), E rmj Monitoring the hidden danger rate of the node for the number (m, j), and E rin The hidden danger rate of the (i, n) monitoring node is (m, j+1) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (m, j) monitoring node, (1, j) the number of the monitoring node of the j-th branch in the first section on the distribution bus (1), (1, j+1) the number of the monitoring node of the next branch in the next section adjacent to the same section as the (1, j) monitoring node, (i, n) the number of the monitoring node of the last branch of the i-th section on the distribution bus (1), (i, 1) the number of the monitoring node of the first branch of the i-th section on the distribution bus (1), (i+1, n) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (i, n) monitoring node, (i+1, 1) the number of the monitoring node of the first branch in the next section adjacent to the (i, 1),
s2.1.3 marking hidden danger monitoring nodes, and enabling the intelligent processing module to calculate hidden danger rate epsilon of each monitoring node calculated in the hidden danger rate of each monitoring node in the seventh step rij Forming an error matrix E by integrating (9) r ：
Taking the error matrix E through (10) r Second-order sub-type of each monitoring node in (a)
In (10) For error matrix E r The second-order sub-type of each monitoring node in (i-1, j-1) is the number of the monitoring node of the previous branch in the previous section adjacent to the monitoring node of (i, j), the (i-1, j) is the number of the monitoring node identical to the number of the branch in the previous section adjacent to the monitoring node of (i, j), the (i, j-1) is the number of the monitoring node of the previous branch in the same section as the monitoring node of (i, j),
the intelligent processing module continuously monitors the second-order sub-type when any monitoring node hidden danger rateWhen the formula (11) is satisfied, the intelligent processing module marks the monitoring node as a hidden danger monitoring node:
alpha in the formula (11) is the standard hidden danger rate;
and after the intelligent processing module technology obtains the hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard.
The step S2 comprises the following steps:
s2.2.1 calculating the previous voltage matrix, and taking the back-push voltage matrix U sent to the intelligent processing module in the previous sampling period kpresent As a previous back-push voltage matrix U klast The previous back-push voltage matrix U klast Sum-to-transformation ratio matrix k Ratio of change The Hadamard product is calculated by the formula (12):
u in (12) kluv Representing the previous back-push voltage parameter of the monitoring node with the number of (U, v), wherein the previous back-push voltage parameter is the back-push voltage parameter of the monitoring node in the last sampling period, U klast Representing distribution bus barsA previous voltage matrix U klast A voltage matrix for monitoring the node in the last sampling period;
s2.2.2 calculating an averaged and dimensionalized voltage matrix of a T-junction power distribution network by back-pushing the voltage matrix U to a power distribution bus in real time present Averaging and removing dimension to obtain
U in (13) kpuv The voltage of the distribution bus (1) reversely pushed out by all monitoring nodes in the T-junction distribution network,for the real-time back-push of the voltage matrix U to the distribution bus (1) kpresen t is averaged and the data from the dimension is removed,
in the formula (13)Average value of distribution bus voltage reversely deduced by all monitoring nodes in T-junction distribution network and previous reverse-deduced voltage matrix U of distribution bus last Averaging and removing dimension to obtain +.>
In the formula (14)Representing the average value, # of distribution bus voltages reversely deduced by all monitoring nodes in the T-junction distribution network at the last sampling period>For the previous back-push voltage matrix U of the distribution bus klast The data obtained by averaging and removing the dimension are performed,
the formula (13) is simplified to obtain a formula (15), and the formula (14) is simplified to obtain a formula (16):
the above-mentioned formula (15) and formula (16) represent that the average voltage matrix only has the relative relation among the voltages, and the change rate matrix is represented by a discretization mode, namely:
In the formula (17)Representing the change information of the distribution busbar voltage reversely deduced through the current voltage information of all monitoring nodes in the T-connection distribution network, wherein Deltat represents the sampling period interval of the voltage of each monitoring node, < + >>Is +.>Characterizing the change speed of the voltage of the monitoring node with the serial number of (u, v);
s2.2.3, calculating the potential voltage hazard degree of each monitoring node after normalization, traversing by the formula (18)All elements within:
in the formula (19), the amino acid sequence of the compound,the rate of change of the monitor node voltage is characterized by the number (u, v),
calculating the potential voltage hazard degree of the normalized monitoring node by the formula (19):
in the formula (19), the amino acid sequence of the compound,the voltage hidden danger degree after normalization is carried out on the monitoring nodes with the numbers of (u, v),maximum value of the rate of change of the monitor node voltage, numbered (u, v), +.>A minimum value of the rate of change of the monitor node voltage numbered (u, v);
the normalized voltage change matrix is obtained by the conversion of equation (20):
in the formula (20), the amino acid sequence of the compound,for normalizing the voltage change matrix, < >>Each element within represents the voltage at the monitor node at this pointThe degree of hidden trouble of the scale, and between (0, 1), then for each element in the normalized voltage change matrix +. >The hidden danger degree of each monitoring node is compared through the formula (21):
in the formula (21), beta is the standard hidden trouble degree of the monitoring node;
when the formula (21) is satisfied, judging that the monitoring points with the numbers (u, v) have potential voltage hazards;
and after the intelligent processing module technology obtains the hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard.
The step S2 comprises the following steps:
s2.1.1, judging a hidden danger rate calculation formula, and judging a hidden danger rate calculation formula applicable to each monitoring node by the intelligent processing module according to the following conditions:
1) When the monitoring node (i, j) satisfies the formula (5), calculating the hidden danger rate by using the formula (6):
2) When i=m in the monitoring node (i, j), the hidden danger rate is calculated by using the formula (7),
3) When j=n in the monitoring node (i, j), calculating the hidden danger rate by using the formula (8);
s2.1.2, calculating hidden danger rate of each monitoring node,
in formula (6), E rij The hidden danger rate of the monitoring node (i, j), wherein (i+1, j) is the branch code in the next section adjacent to the monitoring node (i, j)The number of the monitoring node with the same number, (i, j+1) is the number of the monitoring node of the next branch in the same section as the monitoring node with the number (i, j), the number of the monitoring node of the next branch in the next section adjacent to the monitoring node with the number (i, j),
In the formulas (7) and (8), E rmj Monitoring the hidden danger rate of the node for the number (m, j), and E rin The hidden danger rate of the (i, n) monitoring node is (m, j+1) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (m, j) monitoring node, (1, j) the number of the monitoring node of the j-th branch in the first section on the distribution bus (1), (1, j+1) the number of the monitoring node of the next branch in the next section adjacent to the same section as the (1, j) monitoring node, (i, n) the number of the monitoring node of the last branch of the i-th section on the distribution bus (1), (i, 1) the number of the monitoring node of the first branch of the i-th section on the distribution bus (1), (i+1, n) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (i, n) monitoring node, (i+1, 1) the number of the monitoring node of the first branch in the next section adjacent to the (i, 1),
s2.1.3 marking hidden danger monitoring nodes, and enabling the intelligent processing module to calculate hidden danger rate epsilon of each monitoring node calculated in the hidden danger rate of each monitoring node in the seventh step rij Forming an error matrix E by integrating (9) r ：
Taking the error matrix E through (10) r Second-order sub-type of each monitoring node in (a)
In (10)For error matrix E r The second-order sub-type of each monitoring node in (i-1, j-1) is the number of the monitoring node of the previous branch in the previous section adjacent to the monitoring node of (i, j), the (i-1, j) is the number of the monitoring node identical to the number of the branch in the previous section adjacent to the monitoring node of (i, j), the (i, j-1) is the number of the monitoring node of the previous branch in the same section as the monitoring node of (i, j),
The intelligent processing module continuously monitors the second-order sub-type when any monitoring node hidden danger rateWhen the formula (11) is satisfied, the intelligent processing module marks the monitoring node as a hidden danger monitoring node:
alpha in the formula (11) is the standard hidden danger rate;
s2.2.1 calculating the previous voltage matrix, and taking the back-push voltage matrix U sent to the intelligent processing module in the previous sampling period kpresent As a previous back-push voltage matrix U klast The previous back-push voltage matrix U klast Sum-to-transformation ratio matrix k Ratio of change The Hadamard product is calculated by the formula (12):
u in (12) kluv Representing a previous back-stepping voltage parameter of a monitoring node numbered (u, v), wherein the previous back-stepping voltage parameter is a last sampling period of the monitoring nodeReverse voltage parameter at the time of period, U klast Representing a previous voltage matrix of a distribution bus, said previous voltage matrix U klast A voltage matrix for monitoring the node in the last sampling period;
s2.2.2, calculating a voltage matrix of a T-junction distribution network, and performing real-time back-pushing on the voltage matrix U of a distribution bus kpresent Averaging and removing dimension to obtain
U in (13) kpuv The voltage of the distribution bus (1) reversely pushed out by all monitoring nodes in the T-junction distribution network,for the real-time back-push of the voltage matrix U to the distribution bus (1) kpresent The data obtained by averaging and removing the dimension are performed,
In the formula (13)Average value of voltage of distribution bus (1) reversely deduced by all monitoring nodes in T-junction distribution network is represented, and previous reverse-deduced voltage matrix U of distribution bus (1) is obtained last Averaging and removing dimension to obtain +.>
In the formula (14)Representing the average value of the distribution busbar voltage reversely deduced by all monitoring nodes in the T-junction distribution network at the last sampling period,
the formula (13) is simplified to obtain a formula (15), and the formula (14) is simplified to obtain a formula (16):
the above-mentioned formula (15) and formula (16) represent that the average voltage matrix only has the relative relation among the voltages, and the change rate matrix is represented by a discretization mode, namely:
in the formula (17)Representing the change information of the distribution busbar voltage reversely deduced through the current voltage information of all monitoring nodes in the T-connection distribution network, wherein Deltat represents the sampling period interval of the voltage of each monitoring node, < + >>Is +.>Characterizing the change speed of the voltage of the monitoring node with the serial number of (u, v);
s2.2.3, calculating the potential voltage hazard degree of each monitoring node after normalization, traversing by the formula (18)All elements within:
in the formula (19), the amino acid sequence of the compound,the rate of change of the monitor node voltage is characterized by the number (u, v),
calculating the potential voltage hazard degree of the normalized monitoring node by the formula (19):
In the formula (19), the amino acid sequence of the compound,the voltage hidden danger degree after normalization is carried out on the monitoring nodes with the numbers of (u, v),maximum value of the rate of change of the monitor node voltage, numbered (u, v), +.>A minimum value of the rate of change of the monitor node voltage numbered (u, v);
the normalized voltage change matrix is obtained by the conversion of equation (20):
in the formula (20), the amino acid sequence of the compound,for normalizing the voltage change matrix, < >>Each element in the normalized voltage change matrix represents the hidden trouble degree of the voltage of the monitoring node at the moment, and between (0, 1), each element in the normalized voltage change matrix is +.>The hidden danger degree of each monitoring node is compared through the formula (21):
in the formula (21), beta is the standard hidden trouble degree of the monitoring node;
when the formula (21) is satisfied, judging that the monitoring points with the numbers (u, v) have potential voltage hazards;
s2.3, classifying fault branches, and classifying all monitoring nodes in the T-junction power distribution network by the following conditions:
1) When the monitoring node does not satisfy either the equation (11) or the equation (21), the monitoring node is a safety branch,
2) When the monitoring node satisfies one of the formulas (11) or (21), the monitoring node is a dangerous branch,
3) When the monitoring node simultaneously meets the formulas (11) and (21), the monitoring node is a very dangerous branch;
And after the intelligent processing module technology obtains the hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard.
When the T-connection power distribution network meets any one of the following conditions, the T-connection power distribution network passes through the empirical voltage matrix U theory Calculating a previous voltage matrix U from the previous voltage matrix in place of S2.2.1 klast And (3) performing calculation:
1) The load difference of the T-junction distribution network is large,
2) The load variation of the T-wire distribution network is severe,
3) The T-junction distribution network has not reached a steady state just after starting operation.
A monitoring device for a T-junction power distribution network, the monitoring device comprising an intelligent processing module;
the intelligent processing module comprises a processor and a memory;
the memory is used for storing computer program codes and transmitting the computer program codes to the processor;
the processor is configured to perform the method of monitoring for a T-wire distribution network according to any of claims 1-7 according to instructions in the computer program code.
The wireless receiver and the wireless transmitters are respectively preset with a password communication protocol, and the wireless transmitters are connected with the wireless receiver through wireless signals of the preset password communication protocols.
The display upper-level switchboard comprises a display and a host,
the host computer is used for storing computer program codes and transmitting the computer program codes to the display, and the display is used for outputting the calculation result of the monitoring method for the T-connection power distribution network according to any one of claims 1 to 7.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the monitoring method for the voltage monitoring structure of the T-junction power distribution network, after the intelligent processing module receives the voltage information sent by each monitoring node, the power supply voltage of the back-push bus of each monitoring node is calculated, and the hidden danger rate of the monitoring node is obtained by comparing the power supply voltage of the back-push bus of any monitoring node with the power supply voltage of the back-push bus of an adjacent segment monitoring node or an adjacent branch monitoring node, and is displayed on a display upper-level switchboard, so that monitoring staff can find and process the hidden danger rate in time. Therefore, the node hidden danger rate can be obtained through the difference of the back-push bus power supply voltage of each monitoring node in the space dimension, and the automation degree of voltage monitoring is effectively improved.
2. According to the monitoring method for the voltage monitoring structure of the T-junction power distribution network, the intelligent processing module can also obtain the hidden danger rate of any monitoring node by comparing the current back-thrust bus power supply voltage with the previous back-thrust bus power supply voltage of the monitoring node. Therefore, the node hidden danger rate can be obtained through the difference of the back-push bus power supply voltage of each monitoring node in the time dimension, and the automation degree of voltage monitoring is effectively improved.
3. According to the monitoring method for the voltage monitoring structure of the T-junction power distribution network, the intelligent processing module can be combined with the difference of the power supply voltage of the reverse bus of each monitoring node in the space dimension and the difference of the power supply voltage of the reverse bus in the time dimension, so that the danger level of the monitoring node can be obtained quickly. Therefore, the dangerous level of each monitoring node can be obtained rapidly, and the timeliness of voltage monitoring is effectively improved.
4. According to the monitoring method for the voltage monitoring structure of the T-junction power distribution network, when the node hidden danger rate is obtained through the difference of the back-push bus power supply voltage of each monitoring node in the time dimension, the intelligent processing module can use a manually specified experience voltage matrix to replace a previous voltage matrix for calculation so as to offset the voltage influence caused by load fluctuation, and the reliability of the processing result is improved. Therefore, the design can replace the previous voltage matrix by the experience voltage matrix, and the reliability of the processing result is effectively improved.
5. In the voltage monitoring method for the T-junction power distribution network, an intelligent processing module, a display upper-level switchboard and a plurality of voltage monitoring modules are arranged on each monitoring node on the T-junction power distribution network respectively, the voltage monitoring modules monitor the voltage of each branch line on the T-junction power distribution network through a voltage mutual inductance principle, and the intelligent processing module analyzes the voltage information of each monitoring node. Therefore, the voltage data obtained by monitoring each node can be summarized to the intelligent processing module for processing, and the real-time performance of voltage monitoring is effectively improved.
6. According to the voltage monitoring method for the T-junction power distribution network, each voltage monitoring module is in signal connection with one wireless transmitter, the intelligent processing module is in signal connection with the wireless receiver, each wireless transmitter can transmit the voltage signals monitored by the corresponding voltage monitoring module to the wireless receiver through the wireless signals, the wireless receiver further transmits the voltage signals to the intelligent processing module for calculation and analysis, and compared with wired connection, the wireless connection does not need long-distance wiring and is not easy to damage. Therefore, the design can be connected with each monitoring node through the wireless module, and the stability of data acquisition is effectively improved.
Drawings
Fig. 1 is a schematic installation view of the present invention.
Fig. 2 is a schematic structural view of the present invention.
Fig. 3 is a control flow diagram of the present invention.
In the figure: the intelligent power distribution bus 1, the switch equipment 2, the branch line 3, the intelligent processing module 4, the display upper-level switchboard 5, the voltage monitoring module 6, the voltage transformer 61, the low-voltage meter 62, the wireless transmission module 7, the wireless receiver 71 and the wireless transmitter 72.
Detailed Description
The invention is described in further detail below with reference to the accompanying drawings and detailed description.
See fig. 1-3; a monitoring method for a T-junction power distribution network, the monitoring method based on a voltage monitoring structure of the T-junction power distribution network comprising: the intelligent power distribution system comprises a power distribution bus 1, a plurality of switch devices 2, a plurality of branch lines 3, an intelligent processing module 4, a display upper-level switchboard 5, a plurality of voltage monitoring modules 6 and a wireless transmission module 7;
two ends of the distribution bus 1 are respectively connected with a transmission bus or a power supply, a plurality of switch devices 2 are connected in series on the distribution bus 1, and a plurality of branch lines 3 are connected in parallel on the distribution bus 1 between adjacent switch devices 2;
the plurality of branch lines 3 are respectively provided with a voltage monitoring module 6, the voltage monitoring module 6 comprises a voltage transformer 61 and a voltage meter 62, a primary winding of the voltage transformer 61 is connected in parallel with the corresponding branch line 3, a secondary winding of the voltage transformer 61 is connected in parallel with the voltage meter 62, the wireless transmission module 7 comprises a wireless receiver 71 and a plurality of wireless transmitters 72, and the plurality of wireless transmitters 72 are respectively arranged corresponding to the voltage meter 62;
the monitoring method comprises the following steps:
s1, data definition and collection are carried out, an operator counts the number of monitoring nodes in a T-junction power distribution network and marks each monitoring node, meanwhile, the operator stores the transformation ratio of a transformer between each monitoring node and a power distribution bus 1 in an intelligent processing module 4, data definition is completed to carry out data collection, each voltage monitoring module 6 monitors the voltage of a corresponding branch line 3 in real time and sends voltage information to the intelligent processing module 4, the intelligent processing module 4 calculates the back-push bus voltage matrix of the T-junction power distribution network through the voltage of each monitoring node and the transformation ratio of the corresponding transformer, at the moment, S1 data definition and collection are completed, and S2 data analysis is carried out;
S2, data analysis is carried out, after the intelligent processing module 4 obtains a reverse-push bus voltage matrix of the T-junction power distribution network, hidden danger information of each monitoring node is obtained through calculation, at the moment, S2 data analysis is completed, hidden danger information of each monitoring node is sent to the display upper-level switchboard 5, and S3 data display is carried out;
s3, data display, after the intelligent processing module 4 obtains hidden danger information of each monitoring node, the hidden danger information is sent to the display upper-level switchboard 5, and the hidden danger information is displayed through a display screen of the display upper-level switchboard 5 after the hidden danger information of each monitoring node is received.
The branch lines 3 corresponding to the primary windings of the voltage transformers 61 are monitoring nodes, the voltage signal output ends of the voltage transformers 62 are respectively connected with the voltage signal input ends of the corresponding wireless transmitters 72, the voltage signal output ends of the plurality of wireless transmitters 72 are respectively connected with the voltage signal input ends of the wireless receivers 71 through wireless signals, and the voltage signal output ends of the wireless receivers 71 are connected with the voltage signal input ends of the intelligent processing modules 4.
A monitoring device for a T-wire distribution network, the monitoring device comprising an intelligent processing module (4);
The intelligent processing module (4) comprises a processor and a memory;
the memory is used for storing computer program codes and transmitting the computer program codes to the processor;
the processor is configured to perform the method of monitoring for a T-wire distribution network according to any of claims 1-7 according to instructions in the computer program code.
The wireless receiver (71) and the plurality of wireless transmitters (72) are respectively preset with a password communication protocol, and the plurality of wireless transmitters (72) are connected with the wireless receiver (71) through the preset password communication protocol in a wireless signal mode.
The display upper-level switchboard (5) comprises a display and a host,
the host computer is used for storing computer program codes and transmitting the computer program codes to the display, and the display is used for outputting the calculation result of the monitoring method for the T-connection power distribution network according to any one of claims 1 to 7.
The principle of the invention is explained as follows:
in the design, the wireless transmission module 7 realizes remote real-time communication based on the MQTT standard protocol by means of 3G, 4G or 5G technology, so that the wireless receiver 71 receives wireless signals of different monitoring nodes through a password communication protocol preset by the wireless transmitter 72 in each monitoring node, and the wireless signals are not mutually interfered;
The standard hidden danger rate alpha and the standard hidden danger degree beta of the monitoring node in the design are empirical values, and the two values are characterized in that the two values can be changed according to the following information of the distribution network:
1. the electric reliability index is high or low,
2. the degree of insulation ageing of the power grid,
3. the damage and maintenance condition of the circuit,
4. a change in electrical load demand;
experience voltage matrix U in the design theory The voltage of each node at any moment can be roughly determined according to electric power knowledge under the condition of specific power supply and load if the influence of factors such as climate, cable aging and the like is ignored, so that a theoretical voltage matrix or an empirical voltage matrix is obtained;
in the design, the period of processing data by the intelligent processing module 4, the period of displaying hidden danger monitoring nodes by the upper-level switchboard 5 and the period of sending data by each voltage monitoring module 6 are all deltat, and deltat is 100ms to 2s.
Example 1:
a monitoring method for a T-junction power distribution network, the monitoring method based on a voltage monitoring structure of the T-junction power distribution network comprising: the intelligent power distribution system comprises a power distribution bus 1, a plurality of switch devices 2, a plurality of branch lines 3, an intelligent processing module 4, a display upper-level switchboard 5, a plurality of voltage monitoring modules 6 and a wireless transmission module 7;
Two ends of the distribution bus 1 are respectively connected with a transmission bus or a power supply, a plurality of switch devices 2 are connected in series on the distribution bus 1, and a plurality of branch lines 3 are connected in parallel on the distribution bus 1 between adjacent switch devices 2;
the plurality of branch lines 3 are respectively provided with a voltage monitoring module 6, the voltage monitoring module 6 comprises a voltage transformer 61 and a voltage meter 62, a primary winding of the voltage transformer 61 is connected in parallel with the corresponding branch line 3, a secondary winding of the voltage transformer 61 is connected in parallel with the voltage meter 62, the wireless transmission module 7 comprises a wireless receiver 71 and a plurality of wireless transmitters 72, and the plurality of wireless transmitters 72 are respectively arranged corresponding to the voltage meter 62;
the monitoring method comprises the following steps:
s1, data definition and collection are carried out, an operator counts the number of monitoring nodes in a T-junction power distribution network and marks each monitoring node, meanwhile, the operator stores the transformation ratio of a transformer between each monitoring node and a power distribution bus 1 in an intelligent processing module 4, data definition is completed to carry out data collection, each voltage monitoring module 6 monitors the voltage of a corresponding branch line 3 in real time and sends voltage information to the intelligent processing module 4, the intelligent processing module 4 calculates the back-push bus voltage matrix of the T-junction power distribution network through the voltage of each monitoring node and the transformation ratio of the corresponding transformer, at the moment, S1 data definition and collection are completed, and S2 data analysis is carried out;
S2, data analysis is carried out, after the intelligent processing module 4 obtains a reverse-push bus voltage matrix of the T-junction power distribution network, hidden danger information of each monitoring node is obtained through calculation, at the moment, S2 data analysis is completed, hidden danger information of each monitoring node is sent to the display upper-level switchboard 5, and S3 data display is carried out;
s3, data display, after the intelligent processing module 4 obtains hidden danger information of each monitoring node, the hidden danger information is sent to the display upper-level switchboard 5, and the hidden danger information is displayed through a display screen of the display upper-level switchboard 5 after the hidden danger information of each monitoring node is received.
The branch lines 3 corresponding to the primary windings of the voltage transformers 61 are monitoring nodes, the voltage signal output ends of the voltage transformers 62 are respectively connected with the voltage signal input ends of the corresponding wireless transmitters 72, the voltage signal output ends of the plurality of wireless transmitters 72 are respectively connected with the voltage signal input ends of the wireless receivers 71 through wireless signals, and the voltage signal output ends of the wireless receivers 71 are connected with the voltage signal input ends of the intelligent processing modules 4.
The step S1 comprises the following steps:
s1.1, defining initial data, wherein a distribution bus 1 between adjacent switch devices 2 is a section of the distribution bus 1, an operator counts the number of sections of the distribution bus 1 in a T-junction power distribution network as m, the number of parallel branch lines 3 in each section of the distribution bus 1 as n, at the moment, m multiplied by n is the number of monitoring nodes in the T-junction power distribution network, the monitoring nodes of the j-th branch of the i-th section in the T-junction power distribution network are defined as (i, j) -th monitoring nodes, and the transformation ratio of a transformer between the distribution bus 1 and the (i, j) -th monitoring nodes is defined as k ij The operator connects the T-junction power distribution network with the transformation ratio k of each monitoring node ij Are all stored in the intelligent processing module 4 to obtain a storage transformation ratio matrix k in a database of the intelligent processing module 4 Ratio of change And calculates the transformation ratio matrix k stored in the database of the intelligent processing module 4 according to the formula (1) Ratio of change ：
S1.2, voltage information is sent, the primary windings of all the voltage transformers 61 monitor the voltage value of the corresponding branch line 3 in real time, meanwhile, the voltage meter 62 monitors the voltage value of the secondary winding of the voltage transformer 61 in real time, the monitored voltage value of the secondary winding of the voltage transformer 61 is sent to the wireless transmission module 7, and the wireless transmission module 7 sends the voltage value to the intelligent processing module 4 by using a preset password communication protocol after receiving the voltage value of the secondary winding of the voltage transformer 61;
s1.3, acquiring the voltage of each monitoring node, and after receiving the voltage value of the secondary winding of the voltage transformer 61, the intelligent processing module 4 calculates the voltage value of the corresponding branch line 3 according to the formula (2):
U 1 ＝k feel of the sense U 2 (2)
U in (2) 1 For the primary winding side voltage, the primary winding side voltage is equal to the branch 3 voltage value, k Feel of the sense U as transformation ratio of voltage transformer 61 2 Is the secondary winding side voltage;
s1.4, summarizing data, and acquiring branch line 3 voltage values U obtained in each monitoring node voltage by the intelligent processing module 4 according to S1.3 1 Summarizing and storing in an internal database by the formula (3):
U present ＝[U pij ] m×n (3)
U in (3) present To sum up the voltage value U of each monitoring node 1 Real-time voltage matrix of rear T-connection power distribution network, U p U, which is the real-time voltage detected by the voltage transformer 61 pij Real-time voltage value U for (i, j) monitoring node in T-connection power distribution network 1 ；
S1.5, calculating a voltage matrix of the distribution bus 1, and collecting the U obtained in the S1.4 data by the intelligent processing module 4 pij And S1.1 define k obtained from the initial data Ratio of change The Hadamard product is calculated by the formula (4):
U kpresent ＝[k ij U pij ] m×n (4)
U in (4) kpresent And (5) a back-push busbar voltage matrix of the T-connection power distribution network.
The step S2 comprises the following steps:
s2.1, obtaining the hidden danger rate of each monitoring node by comparing the difference between the back-push voltage of the monitoring node and the back-push voltage of other monitoring nodes adjacent to each other in space;
s2.1.1, judging a hidden danger rate calculation formula, and judging the hidden danger rate calculation formula applicable to each monitoring node by the intelligent processing module 4 according to the following conditions:
1) When the monitoring node (i, j) satisfies the formula (5), calculating the hidden danger rate by using the formula (6):
2) When i in the monitoring node (i, j) is equal to 0 or m, calculating the hidden danger rate by using the formula (7),
3) When j in the monitoring node (i, j) is equal to 0 or n, calculating the hidden danger rate by using the formula (8);
S2.1.2, calculating hidden danger rate of each monitoring node,
in formula (6), E rij The hidden danger rate of the monitoring node (i, j), the number of the monitoring node (i+1, j) which is the same as the number of the branch in the next section adjacent to the monitoring node (i, j), the number of the monitoring node (i, j+1) which is the next branch in the same section as the monitoring node (i, j), the number of the monitoring node (i+1, j+1) which is the number of the monitoring node (i, j) which is the next branch in the next section adjacent to the monitoring node (i, j),
in the formulas (7) and (8), E rmj Monitoring the hidden danger rate of the node for the number (m, j), and E rin The hidden danger rate of the monitoring node (i, n), and the (m, j+1) is the monitoring node with the same branch number in the next section adjacent to the monitoring node (m, j)The number (1, j) is the number of the monitoring node of the j-th branch of the first section on the distribution bus (1), the number (1, j+1) is the number of the monitoring node of the next branch in the next section adjacent to the same section as the monitoring node of the (1, j), the number (i, n) is the number of the monitoring node of the last branch of the i-th section on the distribution bus (1), the number (i, 1) is the number of the monitoring node of the first branch of the i-th section on the distribution bus (1), the number (i+1, n) is the number of the monitoring node identical to the number of the branch in the next section adjacent to the monitoring node of the (i, n), the number (i+1, 1) is the number of the monitoring node of the first branch in the next section adjacent to the monitoring node of the (i, 1),
S2.1.3 marking hidden danger monitoring nodes, and the intelligent processing module 4 calculates hidden danger rate epsilon of each monitoring node calculated in the hidden danger rate of each monitoring node in the seventh step rij Forming an error matrix E by integrating (9) r ：
Taking the error matrix E through (10) r Second-order sub-type of each monitoring node in (a)
In (10)For error matrix E r The second-order sub-type of each monitoring node in (i-1, j-1) is the number of the monitoring node of the previous branch in the previous section adjacent to the monitoring node of (i, j), the (i-1, j) is the number of the monitoring node identical to the number of the branch in the previous section adjacent to the monitoring node of (i, j), the (i, j-1) is the number of the monitoring node of the previous branch in the same section as the monitoring node of (i, j),
the intelligent processing module 4 continuously monitors the second-order sub-type when any monitoring node hidden danger rateWhen the formula (11) is satisfied, the intelligent processing module 4 marks the monitoring node as a hidden danger monitoring node: />
Alpha in the formula (11) is the standard hidden danger rate;
after the intelligent processing module 4 obtains the hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard 5.
When the T-connection power distribution network meets any one of the following conditions, the T-connection power distribution network passes through the empirical voltage matrix U theory Calculating a previous voltage matrix U from the previous voltage matrix in place of S2.2.1 klast And (3) performing calculation:
1) The load difference of the T-junction distribution network is large,
2) The load variation of the T-wire distribution network is severe,
3) The T-junction distribution network has not reached a steady state just after starting operation.
A monitoring device for a T-wire distribution network, the monitoring device comprising an intelligent processing module (4);
the intelligent processing module (4) comprises a processor and a memory;
the memory is used for storing computer program codes and transmitting the computer program codes to the processor;
the processor is configured to perform the method of monitoring for a T-wire distribution network according to any of claims 1-7 according to instructions in the computer program code.
The wireless receiver (71) and the plurality of wireless transmitters (72) are respectively preset with a password communication protocol, and the plurality of wireless transmitters (72) are connected with the wireless receiver (71) through the preset password communication protocol in a wireless signal mode.
The display upper-level switchboard (5) comprises a display and a host,
the host computer is used for storing computer program codes and transmitting the computer program codes to the display, and the display is used for outputting the calculation result of the monitoring method for the T-connection power distribution network according to any one of claims 1 to 7.
Example 2:
example 2 is substantially the same as example 1 except that:
the step S2 comprises the following steps:
s2.2, obtaining the hidden danger rate of the monitoring node by comparing the difference between the current back-push voltage of the monitoring node and the back-push voltage of the monitoring node in a sampling period;
s2.2.1 calculating the previous voltage matrix, and taking the back-push voltage matrix U sent to the intelligent processing module 4 in the previous sampling period kpresent As a previous back-push voltage matrix U klast The previous back-push voltage matrix U klast Sum-to-transformation ratio matrix k Ratio of change The Hadamard product is calculated by the formula (12):
u in (12) kluv Representing the previous back-push voltage parameter of the monitoring node with the number of (U, v), wherein the previous back-push voltage parameter is the back-push voltage parameter of the monitoring node in the last sampling period, U klast Representing a previous voltage matrix of the distribution busbar 1, said previous voltage matrix U klast A voltage matrix for monitoring the node in the last sampling period;
s2.2.2 calculating an averaged and dimensionalized voltage matrix of a T-junction distribution network by back-pushing the voltage matrix U to the distribution bus 1 in real time present Averaging and removing dimension to obtain/>
U in (13) kpuv The voltage of the distribution bus (1) reversely pushed out by all monitoring nodes in the T-junction distribution network, For the real-time back-push of the voltage matrix U to the distribution bus (1) kpresent The data obtained by averaging and removing the dimension are performed,
in the formula (13)Average value of voltage of distribution bus 1 reversely deduced by all monitoring nodes in T-junction distribution network is represented, and previous reverse-deduced voltage matrix U of distribution bus 1 is obtained klast Averaging and removing dimension to obtain +.>
In the formula (14)Representing average value of voltage of distribution bus 1 reversely deduced by all monitoring nodes in T-connection distribution network in last sampling period, < >>For the previous back-push voltage matrix U of the distribution busbar 1 klast The data obtained by averaging and removing the dimension are performed,
the formula (13) is simplified to obtain a formula (15), and the formula (14) is simplified to obtain a formula (16):
the above-mentioned formula (15) and formula (16) represent that the average voltage matrix only has the relative relation among the voltages, and the change rate matrix is represented by a discretization mode, namely:
in the formula (17)Representing the change information of the voltage of the distribution bus 1 reversely deduced from the current voltage information of all monitoring nodes in the T-junction distribution network, wherein Deltat represents the sampling period interval of the voltage of each monitoring node, < + >>Is +.>Characterizing the change speed of the voltage of the monitoring node with the serial number of (u, v);
s2.2.3, calculating the potential voltage hazard degree of each monitoring node after normalization, traversing by the formula (18) All elements within:
in the formula (19), the amino acid sequence of the compound,the rate of change of the monitor node voltage is characterized by the number (u, v),
calculating the potential voltage hazard degree of the normalized monitoring node by the formula (19):
in the formula (19), the amino acid sequence of the compound,the voltage hidden danger degree after normalization is carried out on the monitoring nodes with the numbers of (u, v),maximum value of the rate of change of the monitor node voltage, numbered (u, v), +.>A minimum value of the rate of change of the monitor node voltage numbered (u, v);
the normalized voltage change matrix is obtained by the conversion of equation (20):
/>
in the formula (20), the amino acid sequence of the compound,for normalizing the voltage change matrix, < >>Each element in the normalized voltage change matrix represents the hidden trouble degree of the voltage of the monitoring node at the moment, and between (0, 1), each element in the normalized voltage change matrix is +.>The hidden danger degree of each monitoring node is compared through the formula (21):
in the formula (21), beta is the standard hidden trouble degree of the monitoring node;
when the formula (21) is satisfied, judging that the monitoring points with the numbers (u, v) have potential voltage hazards;
after the intelligent processing module 4 obtains the hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard 5.
Example 3:
example 3 is substantially the same as example 2 except that:
The step S2 comprises the following steps:
s2.1, obtaining a hidden danger rate of each monitoring node through the back-push voltage of each monitoring node and the back-push voltages of the rest monitoring nodes adjacent in space, obtaining another hidden danger rate of each monitoring node through the back-push voltage of each monitoring node and the back-push voltage of one sampling period on the monitoring node, and obtaining the danger level of the monitoring node by combining the two hidden danger rates of the monitoring nodes;
s2.1.1, judging a hidden danger rate calculation formula, and judging the hidden danger rate calculation formula applicable to each monitoring node by the intelligent processing module 4 according to the following conditions:
1) When the monitoring node (i, j) satisfies the formula (5), calculating the hidden danger rate by using the formula (6):
2) When i=m in the monitoring node (i, j), the hidden danger rate is calculated by using the formula (7),
3) When j=n in the monitoring node (i, j), calculating the hidden danger rate by using the formula (8);
s2.1.2, calculating hidden danger rate of each monitoring node,
in formula (6), E rij The hidden danger rate of the monitoring node (i, j) is the number of the monitoring node (i+1, j) which is the same as the branch number in the next section adjacent to the monitoring node (i, j), and the hidden danger rate of the monitoring node (i, j+1) is the number of the monitoring node (i, j)The number of the monitoring node of the next branch in the same section of the monitoring node (i, j), the number of the monitoring node of the next branch in the next section adjacent to the monitoring node (i, j) is (i+1, j+1),
In the formulas (7) and (8), E rmj Monitoring the hidden danger rate of the node for the number (m, j), and E rin The hidden danger rate of the (i, n) monitoring node is (m, j+1) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (m, j) monitoring node, (1, j) the number of the monitoring node of the j-th branch in the first section on the distribution bus (1), (1, j+1) the number of the monitoring node of the next branch in the next section adjacent to the same section as the (1, j) monitoring node, (i, n) the number of the monitoring node of the last branch of the i-th section on the distribution bus (1), (i, 1) the number of the monitoring node of the first branch of the i-th section on the distribution bus (1), (i+1, n) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (i, n) monitoring node, (i+1, 1) the number of the monitoring node of the first branch in the next section adjacent to the (i, 1),
s2.1.3 marking hidden danger monitoring nodes, and the intelligent processing module 4 calculates hidden danger rate epsilon of each monitoring node calculated in the hidden danger rate of each monitoring node in the seventh step rij Forming an error matrix E by integrating (9) r ：
Taking the error matrix E through (10) r Second-order sub-type of each monitoring node in (a)
In (10)For error matrix E r The second-order sub-type of each monitoring node in (i-1, j-1) is the number of the monitoring node of the previous branch in the previous section adjacent to the monitoring node of (i, j), the (i-1, j) is the number of the monitoring node identical to the number of the branch in the previous section adjacent to the monitoring node of (i, j), the (i, j-1) is the number of the monitoring node of the previous branch in the same section as the monitoring node of (i, j),
The intelligent processing module 4 continuously monitors the second-order sub-type when any monitoring node hidden danger rateWhen the formula (11) is satisfied, the intelligent processing module 4 marks the monitoring node as a hidden danger monitoring node:
alpha in the formula (11) is the standard hidden danger rate;
s2.2.1 calculating the previous voltage matrix, and taking the back-push voltage matrix U sent to the intelligent processing module 4 in the previous sampling period kpresent As a previous back-push voltage matrix U klast The previous back-push voltage matrix U klast Sum-to-transformation ratio matrix k Ratio of change The Hadamard product is calculated by the formula (12):
u in (12) kluv Representing the previous back-push voltage parameter of the monitoring node with the number of (U, v), wherein the previous back-push voltage parameter is the back-push voltage parameter of the monitoring node in the last sampling period, U klast Representing a previous voltage matrix of the distribution busbar 1, said previous voltage matrix U klast A voltage matrix for monitoring the node in the last sampling period;
s2.2.2, calculating a voltage matrix of the T-junction distribution network by back-pushing the voltage matrix U to the distribution bus 1 in real time kpresent Averaging and removing dimension to obtain
U in (13) kpuv The voltage of the distribution bus (1) reversely pushed out by all monitoring nodes in the T-junction distribution network,for the real-time back-push of the voltage matrix U to the distribution bus (1) kpresent The data obtained by averaging and removing the dimension are performed,
in the formula (13)Average value of voltage of distribution bus (1) reversely deduced by all monitoring nodes in T-junction distribution network is represented, and previous reverse-deduced voltage matrix U of distribution bus (1) is obtained last Averaging and removing dimension to obtain +.>
In the formula (14)Representing the average value of the voltage of the distribution bus 1 reversely deduced by all monitoring nodes in the T-junction distribution network at the last sampling period,
the formula (13) is simplified to obtain a formula (15), and the formula (14) is simplified to obtain a formula (16):
the above-mentioned formula (15) and formula (16) represent that the average voltage matrix only has the relative relation among the voltages, and the change rate matrix is represented by a discretization mode, namely:
in the formula (17)Representing the change information of the voltage of the distribution bus 1 reversely deduced from the current voltage information of all monitoring nodes in the T-junction distribution network, wherein Deltat represents the sampling period interval of the voltage of each monitoring node, < + >>Is +.>Characterizing the change speed of the voltage of the monitoring node with the serial number of (u, v);
s2.2.3, calculating the potential voltage hazard degree of each monitoring node after normalization, traversing by the formula (18)All elements within:
in the formula (19), the amino acid sequence of the compound,the rate of change of the monitor node voltage is characterized by the number (u, v),
Calculating the potential voltage hazard degree of the normalized monitoring node by the formula (19):
in the formula (19), the amino acid sequence of the compound,the voltage hidden danger degree after normalization is carried out on the monitoring nodes with the numbers of (u, v),maximum value of the rate of change of the monitor node voltage, numbered (u, v), +.>A minimum value of the rate of change of the monitor node voltage numbered (u, v);
the normalized voltage change matrix is obtained by the conversion of equation (20):
in the formula (20), the amino acid sequence of the compound,for normalizing the voltage change matrix, < >>Each element in the normalized voltage change matrix represents the hidden trouble degree of the voltage of the monitoring node at the moment, and between (0, 1), each element in the normalized voltage change matrix is +.>Through type(21) Comparing hidden trouble degrees of all monitoring nodes:
in the formula (21), beta is the standard hidden trouble degree of the monitoring node;
when the formula (21) is satisfied, judging that the monitoring points with the numbers (u, v) have potential voltage hazards;
s2.3, classifying fault branches, and classifying all monitoring nodes in the T-junction power distribution network by the following conditions:
1) When the monitoring node does not satisfy either the equation (11) or the equation (21), the monitoring node is a safety branch,
2) When the monitoring node satisfies one of the formulas (11) or (21), the monitoring node is a dangerous branch,
3) When the monitoring node simultaneously meets the formulas (11) and (21), the monitoring node is a very dangerous branch;
after the intelligent processing module 4 obtains the hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard 5.
The above description is merely of preferred embodiments of the present invention, and the scope of the present invention is not limited to the above embodiments, but all equivalent modifications or variations according to the present disclosure will be within the scope of the claims.

Claims (10)

1. A monitoring method for a T-junction power distribution network is characterized by comprising the following steps of:
the voltage monitoring structure based on the T-junction power distribution network comprises the following steps: the intelligent power distribution system comprises a power distribution bus (1), a plurality of switch devices (2), a plurality of branch lines (3), an intelligent processing module (4), a display upper-level switchboard (5), a plurality of voltage monitoring modules (6) and a wireless transmission module (7);
two ends of the distribution bus (1) are respectively connected with a transmission bus or a power supply, a plurality of switch devices (2) are connected in series on the distribution bus (1), and a plurality of branch lines (3) are connected in parallel on the distribution bus (1) between the adjacent switch devices (2);
the voltage monitoring system comprises a plurality of branch lines (3), wherein one voltage monitoring module (6) is respectively arranged on each branch line (3), each voltage monitoring module (6) comprises a voltage transformer (61) and a low-voltage voltmeter (62), a primary winding of each voltage transformer (61) is connected with the corresponding branch line (3) in parallel, a secondary winding of each voltage transformer (61) is connected with the corresponding low-voltage voltmeter (62) in parallel, each wireless transmission module (7) comprises a wireless receiver (71) and a plurality of wireless transmitters (72), and the plurality of wireless transmitters (72) are respectively arranged corresponding to one low-voltage voltmeter (62);
The monitoring method comprises the following steps:
s1, data definition and collection are carried out, an operator counts the number of monitoring nodes in a T-junction power distribution network and marks each monitoring node, meanwhile, the operator stores the transformation ratio of a transformer between each monitoring node and a distribution bus (1) in an intelligent processing module (4), data definition is completed at the moment, the data collection is carried out, each voltage monitoring module (6) monitors the voltage of a corresponding branch line (3) in real time and sends voltage information to the intelligent processing module (4), the intelligent processing module (4) calculates a reverse-push bus voltage matrix of the T-junction power distribution network through the voltage of each monitoring node and the transformation ratio of the corresponding transformer, at the moment, S1 data definition and collection are completed, and S2 data analysis is carried out;
s2, data analysis, namely after the intelligent processing module (4) obtains a reverse bus voltage matrix of the T-junction power distribution network, hidden danger information of each monitoring node is obtained through calculation, at the moment, S2 data analysis is completed, hidden danger information of each monitoring node is sent to the display upper-level switchboard (5), and S3 data display is entered;
s3, displaying data, wherein after the intelligent processing module (4) obtains hidden danger information of each monitoring node, the hidden danger information is sent to the display upper-level telephone exchange (5), and the hidden danger information is displayed through a display screen of the display upper-level telephone exchange (5) after the display upper-level telephone exchange (5) receives the hidden danger information of each monitoring node.
2. A method of monitoring a T-junction power distribution network according to claim 1, wherein:
the voltage signal output ends of the low-voltage meters (62) are respectively connected with the voltage signal input ends of the corresponding wireless transmitters (72) by signals, the voltage signal output ends of the wireless transmitters (72) are respectively connected with the voltage signal input ends of the wireless receivers (71) by signals through wireless signals, and the voltage signal output ends of the wireless receivers (71) are connected with the voltage signal input ends of the intelligent processing module (4) by signals.
3. A method of monitoring a T-junction power distribution network according to claim 1 or 2, characterized in that:
the step S1 comprises the following steps:
s1.1, defining initial data, wherein a distribution bus (1) between adjacent switch devices (2) is a section of the distribution bus (1), an operator counts the number of sections of the distribution bus (1) in a T-junction power distribution network to be m, the number of parallel branch lines (3) in each section of the distribution bus (1) is n, at the moment, m multiplied by n is the number of monitoring nodes in the T-junction power distribution network, the monitoring nodes of the j-th branch of the i-th section in the T-junction power distribution network are defined as (i, j) -th monitoring nodes, and the transformation ratio of a transformer between the distribution bus (1) and the (i, j) -th monitoring nodes is defined as k ij The operator connects the T-junction power distribution network with the transformation ratio k of each monitoring node ij Are all stored in the intelligent processing module (4) to obtain a storage transformation ratio matrix k in a database of the intelligent processing module (4) Ratio of change And calculating a transformation ratio matrix k stored in a database of the intelligent processing module (4) according to the formula (1) Ratio of change ：
k Ratio of change ＝[k ij ] m×n (1)
S1.2, voltage information is sent, the primary windings of all the voltage transformers (61) monitor the voltage values of corresponding branch lines (3) in real time, meanwhile, a low-voltage voltmeter (62) monitors the voltage values of the secondary windings of the voltage transformers (61) in real time, the monitored voltage values of the secondary windings of the voltage transformers (61) are sent to a wireless transmission module (7), and the wireless transmission module (7) sends the voltage values to an intelligent processing module (4) by using a preset password communication protocol after receiving the voltage values of the secondary windings of the voltage transformers (61);
s1.3, acquiring the voltage of each monitoring node, and after the intelligent processing module (4) receives the voltage value of the secondary winding of the voltage transformer (61), calculating the voltage value of the corresponding branch line (3) according to the formula (2):
U 1 ＝k feel of the sense U 2 (2)
U in (2) 1 For the primary winding side voltage, the primary winding side voltage is equal to the voltage value of the branch line (3), k Feel of the sense U as transformation ratio of voltage transformer (61) 2 Is the secondary winding side voltage;
s1.4, summarizing data, and acquiring a branch line (3) voltage value U obtained in each monitoring node voltage by the intelligent processing module (4) through the S1.3 1 Summarizing and storing in an internal database by the formula (3):
U present ＝[U pij ] m×n (3)
U in (3) present To sum up the voltage value U of each monitoring node 1 Real-time voltage matrix of rear T-connection power distribution network, U p For real-time voltage detected by a voltage transformer (61), U pij Real-time voltage value U for (i, j) monitoring node in T-connection power distribution network 1 ；
S1.5, calculating a voltage matrix of the distribution bus (1), and collecting the U obtained in the S1.4 data by the intelligent processing module (4) pij And S1.1 define k obtained from the initial data Ratio of change The Hadamard product is calculated by the formula (4):
U kpresent ＝[k ij U pij ] m×n (4)
U in (4) kpresent And (5) a back-push busbar voltage matrix of the T-connection power distribution network.
4. A method of monitoring a T-junction power distribution network according to claim 3, wherein:
the step S2 comprises the following steps:
s2.1, obtaining the hidden danger rate of each monitoring node by comparing the difference between the back-push voltage of the monitoring node and the back-push voltage of other monitoring nodes adjacent to each other in space;
s2.1.1, judging a hidden danger rate calculation formula, and judging a hidden danger rate calculation formula applicable to each monitoring node by the intelligent processing module (4) according to the following conditions:
1) When the monitoring node (i, j) satisfies the formula (5), calculating the hidden danger rate by using the formula (6):
2) When i in the monitoring node (i, j) is equal to 0 or m, calculating the hidden danger rate by using the formula (7),
3) When j in the monitoring node (i, j) is equal to 0 or n, calculating the hidden danger rate by using the formula (8);
s2.1.2, calculating hidden danger rate of each monitoring node,
in formula (6), E rij The hidden danger rate of the monitoring node (i, j), the number of the monitoring node (i+1, j) which is the same as the number of the branch in the next section adjacent to the monitoring node (i, j), the number of the monitoring node (i, j+1) which is the next branch in the same section as the monitoring node (i, j), the number of the monitoring node (i+1, j+1) which is the number of the monitoring node (i, j) which is the next branch in the next section adjacent to the monitoring node (i, j),
in the formulas (7) and (8), E rmj Monitoring the hidden danger rate of the node for the number (m, j), and E rin The hidden danger rate of the (i, n) monitoring node is (m, j+1) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (m, j) monitoring node, (1, j) the number of the monitoring node of the j-th branch in the first section on the distribution bus (1), (1, j+1) the number of the monitoring node of the next branch in the next section adjacent to the same section as the (1, j) monitoring node, (i, n) the number of the monitoring node of the last branch of the i-th section on the distribution bus (1), (i, 1) the number of the monitoring node of the first branch of the i-th section on the distribution bus (1), (i+1, n) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (i, n) monitoring node, (i+1, 1) the number of the monitoring node of the first branch in the next section adjacent to the (i, 1),
S2.1.3 marking hidden danger monitoring nodes, and the intelligent processing module (4) calculates hidden danger rate epsilon of each monitoring node calculated in the hidden danger rate of each monitoring node in the seventh step rij Forming an error matrix E by integrating (9) r ：
∈ r ＝[∈ rij ] m×n (9)
Taking the error matrix E through (10) r Second-order sub-type of each monitoring node in (a)
In (10)For error matrix E r The second-order sub-formula of each monitoring node in (i-1, j-1) is the number of the monitoring node of the previous branch in the previous section adjacent to the monitoring node of (i, j), and the (i-1, j) is the number of the monitoring node with the same branch number in the previous section adjacent to the monitoring node of (i, j)The number (i, j-1) is the number of the monitoring node of the previous branch in the same section as the monitoring node of the number (i, j),
the intelligent processing module (4) continuously monitors the second-order sub-type when any monitoring node hidden danger rateWhen the formula (11) is satisfied, the intelligent processing module (4) marks the monitoring node as a hidden danger monitoring node:
alpha in the formula (11) is the standard hidden danger rate;
and after the intelligent processing module (4) obtains hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard (5).
5. A method of monitoring a T-junction power distribution network according to claim 3, wherein:
The step S2 comprises the following steps:
s2.2, obtaining the hidden danger rate of the monitoring node by comparing the difference between the current back-push voltage of the monitoring node and the back-push voltage of the monitoring node in a sampling period;
s2.2.1 calculating the previous voltage matrix, and taking the back-push voltage matrix U sent to the intelligent processing module (4) in the previous sampling period kpresent As a previous back-push voltage matrix U klast The previous back-push voltage matrix U klast Sum-to-transformation ratio matrix k Ratio of change The Hadamard product is calculated by the formula (12):
U klast ＝[k ij U kluv ] m×n (12)
U in (12) kluv Representing the previous back-push voltage parameter of the monitoring node with the number of (U, v), wherein the previous back-push voltage parameter is the back-push voltage parameter of the monitoring node in the last sampling period, U klast Representing a previous voltage matrix of the distribution busbar (1), said previous voltage matrix U klast A voltage matrix for monitoring the node in the last sampling period;
s2.2.2 calculating an averaged and dimensionalized voltage matrix of a T-junction distribution network by back-pushing the voltage matrix U in real time on a distribution bus (1) kpresent Averaging and removing dimension to obtain
U in (13) kpuv The voltage of the distribution bus (1) reversely pushed out by all monitoring nodes in the T-junction distribution network,for the real-time back-push of the voltage matrix U to the distribution bus (1) kpresent The data obtained by averaging and removing the dimension are performed,
in the formula (13)Average value of voltage of distribution bus (1) reversely deduced by all monitoring nodes in T-junction distribution network is represented, and previous reverse-deduced voltage matrix U of distribution bus (1) is obtained last Averaging and removing dimension to obtain +.>
In the formula (14)Representing the last sampleAverage value of the voltage of distribution bus (1) reversely deduced by all monitoring nodes in T-connection distribution network during period, < + >>For the previous back-push voltage matrix U of the distribution bus (1) last The data obtained by averaging and removing the dimension are performed,
the formula (13) is simplified to obtain a formula (15), and the formula (14) is simplified to obtain a formula (16):
the above-mentioned formula (15) and formula (16) represent that the average voltage matrix only has the relative relation among the voltages, and the change rate matrix is represented by a discretization mode, namely:
in the formula (17)Information representing the variation of the voltage of the distribution bus (1) which is deduced back from the information of the current voltage of all monitoring nodes in the T-junction distribution network, deltat representing the sampling period interval of the voltages of the respective monitoring nodes, & lt>Each element of (3)Characterizing the change speed of the voltage of the monitoring node with the serial number of (u, v);
s2.2.3, calculateThe voltage hidden trouble degree of each monitoring node after normalization is traversed through a method (18) All elements within:
in the formula (19), the amino acid sequence of the compound,the rate of change of the monitor node voltage is characterized by the number (u, v),
calculating the potential voltage hazard degree of the normalized monitoring node by the formula (19):
in the formula (19), the amino acid sequence of the compound,normalized voltage hidden danger degree for the monitoring node with the number of (u, v), is added>Maximum value of the rate of change of the monitor node voltage, numbered (u, v), +.>A minimum value of the rate of change of the monitor node voltage numbered (u, v);
the normalized voltage change matrix is obtained by the conversion of equation (20):
in the formula (20), the amino acid sequence of the compound,for normalizing the voltage change matrix, < >>Each element in the normalized voltage change matrix represents the hidden trouble degree of the voltage of the monitoring node at the moment, and between (0, 1)The hidden danger degree of each monitoring node is compared through the formula (21):
in the formula (21), beta is the standard hidden trouble degree of the monitoring node;
when the formula (21) is satisfied, judging that the monitoring points with the numbers (u, v) have potential voltage hazards;
and after the intelligent processing module (4) obtains hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard (5).
6. A method of monitoring a T-junction power distribution network according to claim 3, wherein:
The step S2 comprises the following steps:
s2.1, obtaining a hidden danger rate of each monitoring node through the back-push voltage of each monitoring node and the back-push voltages of the rest monitoring nodes adjacent in space, obtaining another hidden danger rate of each monitoring node through the back-push voltage of each monitoring node and the back-push voltage of one sampling period on the monitoring node, and obtaining the danger level of the monitoring node by combining the two hidden danger rates of the monitoring nodes;
s2.1.1, judging a hidden danger rate calculation formula, and judging a hidden danger rate calculation formula applicable to each monitoring node by the intelligent processing module (4) according to the following conditions:
1) When the monitoring node (i, j) satisfies the formula (5), calculating the hidden danger rate by using the formula (6):
2) When i=m in the monitoring node (i, j), the hidden danger rate is calculated by using the formula (7),
3) When j=n in the monitoring node (i, j), calculating the hidden danger rate by using the formula (8);
s2.1.2, calculating hidden danger rate of each monitoring node,
in formula (6), E rij The hidden danger rate of the monitoring node (i, j), the number of the monitoring node (i+1, j) which is the same as the number of the branch in the next section adjacent to the monitoring node (i, j), the number of the monitoring node (i, j+1) which is the next branch in the same section as the monitoring node (i, j), the number of the monitoring node (i+1, j+1) which is the number of the monitoring node (i, j) which is the next branch in the next section adjacent to the monitoring node (i, j),
In the formulas (7) and (8), E rmj Monitoring the hidden danger rate of the node for the number (m, j), and E rin The hidden danger rate of the (i, n) monitoring node is (m, j+1) the number of the monitoring node which is the same as the number of the branch in the next section adjacent to the (m, j) monitoring node, (1, j) the number of the monitoring node of the j-th branch of the first section on the distribution bus (1), and (1, j+1) the number of the monitoring node which is the next section adjacent to the same section of the (1, j) monitoring nodeWherein (i, n) is the number of the monitoring node of the last branch of the ith section on the distribution bus (1), (i, 1) is the number of the monitoring node of the first branch of the ith section on the distribution bus (1), (i+1, n) is the number of the monitoring node identical to the number of the branch in the next section adjacent to the monitoring node of the (i, n), (i+1, 1) is the number of the monitoring node of the first branch in the next section adjacent to the monitoring node of the (i, 1),
s2.1.3 marking hidden danger monitoring nodes, and the intelligent processing module (4) calculates hidden danger rate epsilon of each monitoring node calculated in the hidden danger rate of each monitoring node in the seventh step rij Forming an error matrix E by integrating (9) r ：
∈ r ＝[∈ rij ] m×n (9)
Taking the error matrix E through (10) r Second-order sub-type of each monitoring node in (a)
The intelligent processing module (4) continuously monitors the second-order sub-type when any monitoring node hidden danger rate When the formula (11) is satisfied, the intelligent processing module (4) marks the monitoring node as a hidden danger monitoring node:
alpha in the formula (11) is the standard hidden danger rate;
s2.2.1 calculating the previous voltage matrix, and taking the back-push voltage matrix U sent to the intelligent processing module (4) in the previous sampling period present As the previous back-push voltageMatrix U last The previous back-push voltage matrix U last Sum-to-transformation ratio matrix k Ratio of change The Hadamard product is calculated by the formula (12):
u in (12) kluv Representing the previous back-push voltage parameter of the monitoring node with the number of (U, v), wherein the previous back-push voltage parameter is the back-push voltage parameter of the monitoring node in the last sampling period, U klast Representing a previous voltage matrix of the distribution busbar (1), said previous voltage matrix U klast A voltage matrix for monitoring the node in the last sampling period;
s2.2.2 calculating a T-junction distribution network voltage matrix by back-pushing the voltage matrix U to the distribution bus (1) in real time present Averaging and removing dimension to obtain
In the formula (13)Average value of voltage of distribution bus (1) reversely deduced by all monitoring nodes in T-junction distribution network is represented, and previous reverse-deduced voltage matrix U of distribution bus (1) is obtained last Averaging and removing dimension to obtain +.>
In the formula (14)Representing the average value of the voltage of the distribution bus (1) reversely deduced by all monitoring nodes in the T-junction distribution network in the last sampling period,
The formula (13) is simplified to obtain a formula (15), and the formula (14) is simplified to obtain a formula (16):
the above-mentioned formula (15) and formula (16) represent that the average voltage matrix only has the relative relation among the voltages, and the change rate matrix is represented by a discretization mode, namely:
in the formula (17)Information representing the variation of the voltage of the distribution bus (1) which is deduced back from the information of the current voltage of all monitoring nodes in the T-junction distribution network, deltat representing the sampling period interval of the voltages of the respective monitoring nodes, & lt>Is +.>Characterizing the change speed of the voltage of the monitoring node with the serial number of (u, v);
s2.2.3, calculating the potential voltage hazard degree of each monitoring node after normalization, traversing by the formula (18)All elements within:
in the formula (19), the amino acid sequence of the compound,characterizing the rate of change of the monitor node voltage, numbered (U, v), U kpuv Distribution busbar (1) voltage reversely deduced for all monitoring nodes in monitoring node T wiring distribution network with number (u, v)
Calculating the potential voltage hazard degree of the normalized monitoring node by the formula (19):
in the formula (19), the amino acid sequence of the compound,normalized voltage hidden danger degree for the monitoring node with the number of (u, v), is added>Maximum value of the rate of change of the monitor node voltage, numbered (u, v), +.>A minimum value of the rate of change of the monitor node voltage numbered (u, v);
The normalized voltage change matrix is obtained by the conversion of equation (20):
in the formula (20), the amino acid sequence of the compound,for normalizing the voltage change matrix, < >>Each element in the normalized voltage change matrix represents the hidden trouble degree of the voltage of the monitoring node at the moment, and between (0, 1)The hidden danger degree of each monitoring node is compared through the formula (21):
in the formula (21), beta is the standard hidden trouble degree of the monitoring node;
when the formula (21) is satisfied, judging that the monitoring points with the numbers (u, v) have potential voltage hazards;
s2.3, classifying fault branches, and classifying all monitoring nodes in the T-junction power distribution network by the following conditions:
1) When the monitoring node does not satisfy either the equation (11) or the equation (21), the monitoring node is a safety branch,
2) When the monitoring node satisfies one of the formulas (11) or (21), the monitoring node is a dangerous branch,
3) When the monitoring node simultaneously meets the formulas (11) and (21), the monitoring node is a very dangerous branch;
and after the intelligent processing module (4) obtains hidden danger information of each monitoring node, the hidden danger information of each monitoring node is sent to the display upper-level switchboard (5).
7. The method for monitoring a T-junction power distribution network of claim 5, wherein:
When the T-connection power distribution network meets any one of the following conditions, the T-connection power distribution network passes through the empirical voltage matrix U theory Calculating a previous voltage matrix U from the previous voltage matrix in place of S2.2.1 klast And (3) performing calculation:
1) The load difference of the T-junction distribution network is large,
2) The load variation of the T-wire distribution network is severe,
3) The T-junction distribution network has not reached a steady state just after starting operation.
8. Monitoring devices to T wiring distribution network, its characterized in that:
the monitoring device comprises an intelligent processing module (4);
the intelligent processing module (4) comprises a processor and a memory;
the memory is used for storing computer program codes and transmitting the computer program codes to the processor;
the processor is configured to perform the method of monitoring for a T-wire distribution network according to any of claims 1-7 according to instructions in the computer program code.
9. The monitoring device for a T-wire distribution network of claim 8, wherein:
the wireless receiver (71) and the plurality of wireless transmitters (72) are respectively preset with a password communication protocol, and the plurality of wireless transmitters (72) are connected with the wireless receiver (71) through the preset password communication protocol in a wireless signal mode.
10. A monitoring device for a T-wire distribution network according to claim 9, characterized in that:
The display upper-level switchboard (5) comprises a display and a host,
the host computer is used for storing computer program codes and transmitting the computer program codes to the display, and the display is used for outputting the calculation result of the monitoring method for the T-connection power distribution network according to any one of claims 1 to 7.
CN202311269347.1A 2023-09-28 2023-09-28 Monitoring method and monitoring device for T-connection power distribution network Pending CN117498537A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105842581A (en) * 2016-03-23 2016-08-10 国网山东省电力公司章丘市供电公司 Method and system for pre-warning power distribution network fault
CN110445130A (en) * 2019-07-24 2019-11-12 山东劳动职业技术学院（山东劳动技师学院） Consider the air extract computing device of OPTIMAL REACTIVE POWER support
CN110927456A (en) * 2019-11-08 2020-03-27 江苏方天电力技术有限公司 Low-voltage distribution area distribution line equivalent impedance real-time monitoring system and monitoring method thereof
CN112600718A (en) * 2021-01-01 2021-04-02 谭世克 Communication network monitoring management system
US20220239109A1 (en) * 2021-01-26 2022-07-28 Wobben Properties Gmbh Method for monitoring an electricity supply grid

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105842581A (en) * 2016-03-23 2016-08-10 国网山东省电力公司章丘市供电公司 Method and system for pre-warning power distribution network fault
CN110445130A (en) * 2019-07-24 2019-11-12 山东劳动职业技术学院（山东劳动技师学院） Consider the air extract computing device of OPTIMAL REACTIVE POWER support
CN110927456A (en) * 2019-11-08 2020-03-27 江苏方天电力技术有限公司 Low-voltage distribution area distribution line equivalent impedance real-time monitoring system and monitoring method thereof
CN112600718A (en) * 2021-01-01 2021-04-02 谭世克 Communication network monitoring management system
US20220239109A1 (en) * 2021-01-26 2022-07-28 Wobben Properties Gmbh Method for monitoring an electricity supply grid

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘平;欧阳森;蔡东阳: "考虑变压器接线方式的电能质量监测装置优化配置方法", 电工电能新技术, vol. 35, no. 5 *

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