CN109390921A - A kind of distributed feed line automatization system for power distribution network monitoring - Google Patents
A kind of distributed feed line automatization system for power distribution network monitoring Download PDFInfo
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- CN109390921A CN109390921A CN201811204805.2A CN201811204805A CN109390921A CN 109390921 A CN109390921 A CN 109390921A CN 201811204805 A CN201811204805 A CN 201811204805A CN 109390921 A CN109390921 A CN 109390921A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/086—Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution networks, i.e. with interconnected conductors
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02H—EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS
- H02H7/00—Emergency protective circuit arrangements specially adapted for specific types of electric machines or apparatus or for sectionalised protection of cable or line systems, and effecting automatic switching in the event of an undesired change from normal working conditions
- H02H7/26—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured
- H02H7/261—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations
- H02H7/262—Sectionalised protection of cable or line systems, e.g. for disconnecting a section on which a short-circuit, earth fault, or arc discharge has occured involving signal transmission between at least two stations involving transmissions of switching or blocking orders
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Abstract
A kind of distributed feed line automatization system for power distribution network monitoring, which includes wireless sensor network module, synchronization module, data processing module and multiple execution modules；Synchronization module sends synchronised clock information to wireless sensor network module；Wireless sensor network module acquires the real time data of each route different location of power distribution network, the time scale information of real time data is determined according to the synchronised clock information received, and matched real time data and time scale information are sent to data processing module；Data processing module determines the power distribution network with the presence or absence of security risk according to real time data and time scale information and there are abort situation when security risk, and sends a command to execution module according to fault location information.System provided by the invention is monitored by different location of the wireless sensor network module to each route in power distribution network, improves the detectability of the system, enhance the robustness of system.
Description
Technical field
The present invention relates to distribution network monitoring technical fields, and in particular to it is a kind of for power distribution network monitoring distributed feeder line from
Dynamicization system.
Background technique
Power distribution network is that optimization power supply, reasonable distribution electric energy, control and the weight for ensureing user power utilization quality are realized in electric system
Want link.Power distribution network is safely and reliably run for realizing optimization power supply, reasonable distribution electric energy, control and guarantee user power utilization matter
Amount is of great significance to.The real-time monitoring of power distribution network can realize the operation conditions for understanding power distribution network, this pacifies power distribution network
Full reliability service is very crucial.
With the continuous development of society, the load of power distribution network is growing, and user gets over power supply quality and reliability requirement
Come higher.But existing Monitoring System for Power Distribution Network can not the monitor power distribution network range of information that is so that distribution
Net timely and accurately cannot find and handle when breaking down, and affect the production and living of people, thus bring important warp
Ji loss.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of distributed feed line automatization system for power distribution network monitoring.
The purpose of the present invention is realized using following technical scheme:
A kind of distributed feed line automatization system for power distribution network monitoring, which includes wireless sensor network mould
Block, synchronization module, data processing module and the multiple execution modules being arranged at each route different location；Synchronization module is used
In to wireless sensor network module send synchronised clock information；Wireless sensor network module, for acquiring each of power distribution network
The real time data of route different location, the time scale information of real time data is determined according to the synchronised clock information received, and
Matched real time data and time scale information are sent to data processing module by public mobile communications network；Data processing mould
Block, for determining that power distribution network whether there is security risk and there are events when security risk according to real time data and time scale information
Hinder position, and corresponding execution module is sent a command to according to its fault location information；Execution module according to the instruction received,
Region where abort situation is isolated, after troubleshooting, is also used to the operation that restores electricity to the region of isolation.
The utility model has the advantages that system provided by the invention, by wireless sensor network module to each route in power distribution network
Different location be monitored, improve the detectability of the system, got monitoring by public mobile communications network
Data are transferred to data processing module, improve efficiency of transmission, enhance the robustness of system.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the block schematic illustration of distributed feed line automatization system of the invention；
Fig. 2 is the frame construction drawing of data processing module of the present invention；
Fig. 3 is the frame construction drawing of execution module of the present invention.
Appended drawing reference: wireless sensor network module 1；Synchronization module 2；Data processing module 3；Execution module 4；Failure inspection
Survey unit 31；Failure diagnosis unit 32；Data storage cell 33；Fault Isolation unit 41；Fault recovery unit 42.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of distributed feed line automatization system for power distribution network monitoring, which includes wireless sensor
Network module 1, synchronization module 2, data processing module 3 and the multiple execution modules 4 being arranged at each route different location；Together
Module 2 is walked, for sending synchronised clock information to wireless sensor network module；Wireless sensor network module 1, for acquiring
The real time data of each route different location of power distribution network determines the markers of real time data according to the synchronised clock information received
Information, and matched real time data and time scale information are sent to by data processing module 3 by public mobile communications network；Number
According to processing module 3, for determining power distribution network with the presence or absence of security risk according to real time data and time scale information and there is safety
Abort situation when hidden danger, and corresponding execution module 4 is sent a command to according to its fault location information；4 basis of execution module
The region where abort situation is isolated in the instruction received, after troubleshooting, is also used to restore the region of isolation
Powered operation.
The utility model has the advantages that system provided by the invention, by wireless sensor network module 1 to each route in power distribution network
Different location be monitored, improve the detectability of the system, got monitoring by public mobile communications network
Data are transferred to data processing module, improve efficiency of transmission, enhance the robustness of system.
Preferably, synchronization module 2 includes Beidou satellite navigation system, global positioning system, galileo satellite navigation system
At least one of with GLONASS satellite navigation system.
Public mobile communications network include global mobile communication network, general packet radio service technical network and time-division it is same
Walk CDMA access metwork network.
Preferably, real time data includes voltage signal, current signal, location information and temporal information.
Preferably, referring to fig. 2, data processing module 3 includes fault detection unit 31 and failure diagnosis unit 32；
Fault detection unit 31, for determining that power distribution network whether there is security risk according to real time data and time scale information,
Security risk if it exists then triggers failure diagnosis unit start-up operation；
Failure diagnosis unit 32, for according under security risk real time data and time scale information determine position of failure point,
And corresponding execution module 4 is sent a command to according to its fault location information.
Preferably, referring to Fig. 3, multiple execution modules 4 can real-time perfoming information exchange, obtain other execution in power distribution network
The working condition of module 4.
Execution module 4 includes Fault Isolation unit 41 and fault recovery unit 42；
Fault Isolation unit 41, for corresponding failure point to be isolated according to position of failure point；
Fault recovery unit 42 restores electricity operation to the region of isolation for after troubleshooting.
Preferably, data processing module 3 further includes data storage cell 33, data storage cell 33 and fault detection unit
31 connections, data storage cell are used to store the voltage value in distribution network line when power distribution network operates normally at each position
Range, On The Current Value range.
Preferably, power distribution network is determined with the presence or absence of security risk, specifically, if together according to real time data and time scale information
At one position, in the voltage value range when power distribution network operates normally, then there is no security risk in the voltage signal of acquisition；
And/or
If at same position, the current signal of acquisition not power distribution network operate normally when On The Current Value within the scope of, then
There are security risks.
Preferably, wireless sensor network module 1 includes multiple sensor nodes and base station (BS), multiple sensor nodes
The real time data of each route different location of power distribution network is acquired, and real time data is sent to base station, each biography is converged in base station
The real time data of sensor node transmission is simultaneously forwarded to data processing module 3；
In one embodiment, real time data of each sensor node in each route different location of acquisition power distribution network
Before, it first passes through topology evolution mode and constructs network topology structure of wireless sensor, specifically include:
(1) in spreading well laid sensor node, base station is near itQ sensing is chosen in a sensor node
Device node as cluster head, base station and its nearA sensor node together constitutes with initial topology；
(2) every a time step, selected out of optional range other than present topology one it is nearest apart from base station
Present topology is added in sensor node, and obtains the neighbors collection of the sensor node；Calculate the sensor node that is newly added with
Each is not only in its communication radius but also in the sensor node in present topology, the connection probability between base station；
(3) if the connection maximum probability for the sensor node and base station being newly added, the sensor node are elected as cluster
Head, otherwise, which, which belongs to, is connected thereto the maximum cluster head of probability value, becomes the bunch member node of the cluster head；
(4) (2)-(3) are continued to execute, until topology is added in all the sensors node being spread in range to be monitored, are obtained
To updated wireless sensor topological structure.
In one embodiment, base station is near itQ sensor node conduct is chosen in a sensor node
Cluster head, specifically: calculatingThe cluster parameter of a sensor node, and obtained cluster parameter is subjected to descending arrangement, choosing
The forward preceding Q sensor node of cluster parameter marshalling is selected to as cluster head, wherein the cluster parameter of sensor node i is available
Following formula is calculated:
In formula, M (i) is the cluster parameter of sensor node i, and cluster parameter, which is used to evaluation sensor node, becomes cluster head
A possibility that ability, cluster parameter is bigger, and representative sensor node becomes cluster head is bigger；SresIt (i) is the surplus of sensor node i
Complementary energy magnitude, Sres(j) the residual energy magnitude for being sensor node j, and j=1,2 ...,DI, BSFor sensor node i
With the generalized distance of the base station equipment, DJ, BSFor the generalized distance of sensor node j and the base station equipment, DI, jFor sensing
The generalized distance of device node i and sensor node j, and as i=j, at this time DI, j=0, PiFor the transmitting function of sensor node i
Rate, λ are decay factor, and d (i, BS) is the space length of sensor node i and base station equipment, and ε is regulatory factor, value model
Enclose is 3~5.
In the present embodiment, the cluster parameter of the sensor node near base station is defined, and selects cluster parameter marshalling
Forward top n sensor node is as cluster head, by the calculation formula of the cluster parameter it is found that the present embodiment considers each biography
The influence of the dump energy, the transmission power of generalized distance and sensor node of sensor node so that residual energy magnitude it is biggish,
The high sensor node of transmission power is more likely elected as cluster head, and realizes the building of initial primary topology, the way in turn
It is relatively beneficial to the stability of enhancing initial primary topology, is had laid a good foundation for the evolution of subsequent topological structure.And this reality
Applying the cluster parameter provided in example joined distance factor, and sensor node is preferred if other conditions are the same when connecting
The relatively closer node of selection distance, avoids node energy from consuming excessively because of the increase of communication distance.
In one embodiment, generalized distance D of the sensor node i to base stationi,BS can be calculated using following formula:
In formula, DI, BSFor the generalized distance of sensor node i to base station, d (i, BS) is sky of the sensor node i to base station
Between distance, ProiFor the attribute evaluation value of sensor node i, ProBSFor the attribute evaluation value of base station, YI, BSFor | Proi-ProBS|
Weight, YJ, BSFor | Proj-ProBS| weight, and meetω1dAnd ω1sIt is illustrated respectively in sensor section
The weight of point i space length and attributive distance into the generalized distance of base station, and meet ω1d+ω1s=1.
Attribute is primarily referred to as computing capability, storage capacity, transmittability, power consumption of sensor node and base station etc., attribute
Evaluation of estimate is the comprehensive evaluation value to sensor node or base station property, and comprehensive evaluation value is higher, representative sensor node or
The performance of base station is better.
The utility model has the advantages that in the present embodiment, sensor node is defined to the generalized distance of base station, which is used to
Measure the influence of the space length and attributive distance of sensor node and base station to sensor node.By the calculating of the generalized distance
Formula passes it is found that the sensor node and space length of base station is bigger, the generalized distance of its sensor node and base station is bigger
Sensor node and the attributive distance of base station are bigger, and the generalized distance of sensor node and base station is bigger, so that the biography
The cluster parameter of sensor node is bigger.The sensor node defined through this embodiment to base station generalized distance so that sensing
Device node and the sensor node that the space length of base station is bigger, the attributive distance of sensor node and base station is bigger more have can
Cluster head can be elected as, to be conducive to energy balance, the network topology structure of wireless sensor finally made has better
Stability and survivability energy advantageously reduce the energy consumption of the real time data of each route different location of acquisition power distribution network,
The cost for saving the distribution feed line automatization system extends the life cycle of the distribution feed line automatization system.
In one embodiment, the generalized distance D of sensor node i and sensor node jijIt is calculated using following formula
It arrives:
In formula, DI, jFor the generalized distance of sensor node i and sensor node j, d (i, j) is sensor node i and passes
The space length of sensor node j, d (i, k) are the space length of sensor node i and sensor node k, and d (j, k) is sensor
The space length of node j and sensor node k, COM (i, j) indicate common neighbours between sensor node i and sensor node j
The number of node, Ω are to remove sensor node i and sensor node j, and remaining sensor node is constituted in current topological structure
Set, ProiFor the attribute evaluation value of sensor node i, ProjFor the attribute evaluation value of sensor node j, ProcFor sensing
The attribute evaluation value of device node c, HijFor | Proi-Proj| weight, HicFor | Proi-Proc| weight, and meet ∑c∈ΘHic
=1,6 be the invariant of a very little of setting, ω2dAnd ω2sIt is illustrated respectively in the generalized distance of two sensor nodes
The weight of space length and attributive distance, meets ω1d+ω1s=1；Θ is the D near base stationI, BSIn a sensor node, remove
The set that the remaining sensor node of sensor node i is constituted；
The utility model has the advantages that in the present embodiment, the generalized distance between two sensor nodes is defined, by the generalized distance
Calculation formula it is found that the space length of sensor node and other sensors node is bigger, sensor node and other sense
Generalized distance between device node is bigger, and the attributive distance between sensor node and other sensors node is bigger, sensing
Generalized distance between device node and other sensors node is bigger, so that the cluster parameter of the sensor node is got over
Greatly.The generalized distance between two sensor nodes defined through this embodiment, so that the sky between two sensor nodes
Between distance is bigger, the attributive distance between two sensor nodes is bigger sensor node be more likely elected as cluster head,
To be conducive to energy balance, the network topology structure of wireless sensor finally made has better stability and survivability
Can, it is beneficial to reduce the energy consumption of the real time data of each route different location of acquisition power distribution network, saves this
The cost of distributed feed line automatization system extends the life cycle of the distribution feed line automatization system.
In one embodiment, the calculation formula of the connection probability of the sensor node x and base station that are newly added are as follows:
In formula, ΠX, BS(BS) the connection probability value of sensor node x and base station, m are indicatedxFor sensor node x to base station
The slope of the straight line of composition, mvFor the slope of sensor node v to the base station straight line formed, F { d (x, BS) } is decision function,
The decision function is used to determine whether sensor node x and base station can directly carry out information exchange, and d (x, BS) indicates sensor
The space length of node x and base station, local (x) indicate the neighbors collection of sensor node x, kxFor the node of sensor node x
Degree, kvFor the node degree of sensor node v, RIxFor sensor node x received signal strength indication, RIvFor sensor node v reception
Signal strength indication, LmaxFor the maximum communication distance of cluster head and base station, i.e., when the space length of sensor node x and base station are greater than
Lmax, information exchange cannot be directly carried out between sensor node x and base station, conversely, can be between sensor node x and base station
Information exchange is directly carried out, ε is topological parameter, meets 0 < ε < 1.
The utility model has the advantages that in the present embodiment, the connection probability between the sensor node being newly added and base station is defined, it should
Connection probability describes a possibility that sensor node being newly added can carry out information exchange with base station size, by calculating public affairs
Formula is it is found that connection probability considers from multiple angles such as the node degree of sensor node, sensor node and the positional relationship of base station
The sensor node of new addition and the connection relationship of base station, so as in all directions, more accurately measure the biography being newly added
The connection relationship of sensor node and base station is conducive to the subsequent accurate judgement to the sensor node attaching problem being newly added.
In one embodiment, the calculation formula of the sensor node x being newly added and the connection probability of any one cluster head
Are as follows:
Wherein:
In formula, ΠX, n(n) the connection probability value of sensor node x and cluster head n, S are indicatedres(x) for sensor node x's
Residual energy magnitude, kxFor the node degree of sensor node x, Sres(v) the residual energy magnitude for being sensor node v, kvFor sensor
The node degree of node v, F { d (x, n) } are decision function, which is used to determine that sensor node x and cluster head n whether may be used
Directly to carry out information exchange, d (x, n) indicates that the space length of sensor node x and base station, local (x) indicate sensor section
The neighbors collection of point x, LminFor the maximum communication distance of bunch member node, the i.e. space length as sensor node x and cluster head n
Greater than Lmin, information exchange cannot be directly carried out between sensor node x and cluster head n, conversely, sensor node x and cluster head n it
Between can directly carry out information exchange, η1、η2For weight factor, meet η1+η2=1, HX, nIndicate sensor node x and cluster head
N communication link quality weighted value, HX, vIndicate the communication link quality weighted value of sensor node x and sensor node v.
The utility model has the advantages that in the present embodiment, the connection probability between the sensor node being newly added and cluster head is defined, it should
Connection probability describes a possibility that sensor node being newly added can carry out information exchange with cluster head size, by calculating public affairs
Formula is it is found that connection probability is saved from the node degree of sensor node, sensor node residual energy magnitude and sensor node and its neighbour
Multiple angles such as the link strength of point consider the connection relationship of the sensor node and cluster head that are newly added, so as to accurately
The new ownership that sensor node is added is determined, the good wireless sensor topological structure of stability is obtained.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (10)
1. a kind of distributed feed line automatization system for power distribution network monitoring, it is characterized in that: including wireless sensor network mould
Block, synchronization module, data processing module and the multiple execution modules being arranged at each route different location；
The synchronization module, for sending synchronised clock information to the wireless sensor network module；
The wireless sensor network module, the real time data of each route different location for acquiring power distribution network, according to connecing
The synchronised clock information received determines the time scale information of the real time data, and passes through public mobile communications network general
The real time data and the time scale information matched are sent to the data processing module；
The data processing module, for determining that the power distribution network whether there is according to the real time data and the time scale information
Security risk and there are abort situation when security risk, and corresponding execution is sent a command to according to its fault location information
Module；
The execution module is isolated the region where abort situation according to the instruction received, after troubleshooting, also
For restoring electricity operation to the region of isolation.
2. distribution feed line automatization system according to claim 1, characterized in that the synchronization module includes that Beidou is defended
At least one of star navigation system, global positioning system, galileo satellite navigation system and GLONASS satellite navigation system；
The public mobile communications network include global mobile communication network, general packet radio service technical network and time-division it is same
Walk CDMA access metwork network.
3. distribution feed line automatization system according to claim 1, characterized in that the real time data includes voltage letter
Number, current signal, location information and temporal information.
4. distribution feed line automatization system according to claim 1, characterized in that the data processing module includes event
Hinder detection unit and failure diagnosis unit；
The fault detection unit, for determining that the power distribution network whether there is according to the real time data and the time scale information
Security risk, security risk, then trigger the failure diagnosis unit and start to work if it exists；
The failure diagnosis unit, for according under security risk real time data and time scale information determine position of failure point, and
Corresponding execution module is sent a command to according to its fault location information.
5. distribution feed line automatization system according to claim 4, characterized in that multiple execution modules can be real
Shi Jinhang information exchange；
The execution module includes Fault Isolation unit and fault recovery unit；
The Fault Isolation unit, for the region where abort situation to be isolated according to the instruction received；
The fault recovery unit restores electricity operation to the region of isolation for after troubleshooting.
6. distribution feed line automatization system according to claim 5, characterized in that the data processing module further includes
Data storage cell, the data storage cell are connect with the fault detection unit, and the data storage cell is for storing
Voltage value range, On The Current Value range in distribution network line when power distribution network operates normally at each position.
7. distribution feed line automatization system according to claim 6, characterized in that it is described according to the real time data and
The time scale information determines the power distribution network with the presence or absence of security risk, specifically, if at same position, the voltage of acquisition is believed
Number not in the voltage value range when power distribution network operates normally, then there is security risk；
And/or
If at same position, the current signal of acquisition within the scope of the On The Current Value when power distribution network operates normally, does not then exist
Security risk.
8. distribution feed line automatization system according to claim 1, characterized in that the wireless sensor network module
Including multiple sensor nodes and base station, multiple sensor nodes acquire the real-time of each route different location of power distribution networks
Data, and the real time data is sent to the base station, the real time data that each sensor node is sent is converged in the base station
And it is forwarded to the data processing module.
9. distribution feed line automatization system according to claim 8, characterized in that each sensor node is matched in acquisition
Before the real time data of each route different location of power grid, first passes through topology evolution mode and construct wireless sensor network topology
Structure specifically includes:
(1) in spreading well laid sensor node, the base station is near itQ sensing is chosen in a sensor node
Device node as cluster head, the base station and its nearA sensor node together constitutes with initial topology；
(2) every a time step, a sensing nearest apart from base station is selected out of optional range other than present topology
Present topology is added in device node, and obtains the neighbors collection of the sensor node；Calculate the sensor node that is newly added with it is each
It is a not only in its communication radius but also in the sensor node in present topology, the connection probability between base station；
(3) if the connection maximum probability of the sensor node being newly added and the base station, the sensor node are elected as cluster
Head, otherwise, which, which belongs to, is connected thereto the maximum cluster head of probability value, becomes the bunch member node of the cluster head；
(4) (2)-(3) are continued to execute, until topology is added in all the sensors node being spread in range to be monitored, are obtained more
Wireless sensor topological structure after new.
10. distribution feed line automatization system according to claim 9, characterized in that the base station is near itQ sensor node is chosen in a sensor node as cluster head, specifically: calculatingA sensor node
Cluster parameter, and obtained cluster parameter is subjected to descending arrangement, the preceding Q sensor node for selecting cluster parameter marshalling forward
As cluster head, wherein the cluster parameter of sensor node i can be calculated using following formula:
In formula, M (i) is the cluster parameter of sensor node i, and cluster parameter, which is used to evaluation sensor node, becomes the energy of cluster head
A possibility that power, cluster parameter is bigger, and representative sensor node becomes cluster head is bigger；Sres(i) residue for being sensor node i
Energy value, Sres(j) the residual energy magnitude for being sensor node j, andDi,BSFor sensor node i and institute
State the generalized distance of base station equipment, Dj,BSFor the generalized distance of sensor node j and the base station equipment, Di,jFor sensor section
The generalized distance of point i and sensor node j, and as i=j, at this time Di,j=0, PiFor the transmission power of sensor node i, λ
For decay factor, d (i, BS) is the space length of sensor node i and base station equipment, and ε is regulatory factor, value range 3
~5.
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| CN110688772A (en) * | 2019-10-14 | 2020-01-14 | 深圳供电局有限公司 | Transformer substation exception handling simulation system based on VR local area network online system |
| CN110752577A (en) * | 2019-10-23 | 2020-02-04 | 南京恒典电力科技有限公司 | Research of rapid network protection and application method in actual power grid |
| CN111148140A (en) * | 2019-11-29 | 2020-05-12 | 深圳供电局有限公司 | Power distribution network partial discharge detection data acquisition method based on wireless communication technology |
| CN111314872A (en) * | 2019-11-28 | 2020-06-19 | 深圳供电局有限公司 | Power distribution network operation remote assistance method based on Internet of things technology |
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