CN112688310B - Line loss analysis method and device applied to power distribution network - Google Patents
Line loss analysis method and device applied to power distribution network Download PDFInfo
- Publication number
- CN112688310B CN112688310B CN202011467033.9A CN202011467033A CN112688310B CN 112688310 B CN112688310 B CN 112688310B CN 202011467033 A CN202011467033 A CN 202011467033A CN 112688310 B CN112688310 B CN 112688310B
- Authority
- CN
- China
- Prior art keywords
- node
- real
- line loss
- nodes
- platform area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 43
- 230000002159 abnormal effect Effects 0.000 claims abstract description 39
- 238000004891 communication Methods 0.000 claims description 24
- 238000005516 engineering process Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000002349 favourable effect Effects 0.000 abstract description 5
- 238000000034 method Methods 0.000 description 11
- 238000004590 computer program Methods 0.000 description 7
- 238000012544 monitoring process Methods 0.000 description 3
- 230000032683 aging Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000004128 high performance liquid chromatography Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Landscapes
- Supply And Distribution Of Alternating Current (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides a line loss analysis method and device applied to a power distribution network, which belong to the technical field of power and comprise the following steps: obtaining topological relations among nodes in a platform area; acquiring real-time electric quantity of each node in a platform area; based on the topological relation and the real-time electric quantity of each node, respectively calculating the real-time line loss between each father and son node in the platform region, wherein the real-time line loss between each father and son node is the difference value between the real-time electric quantity of each father node with son node in the platform region and the sum of the real-time electric quantity of all son nodes of the corresponding father node; comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value respectively; if a parent-child node with the real-time line loss larger than the error threshold exists, determining a branch between the corresponding parent-child nodes as an abnormal line loss branch; and outputting the related node information of the abnormal line loss branch. The technical scheme provided by the application can realize the rapid positioning of the line branches generating line losses in the transformer area, and is favorable for analyzing the line branches generating the line losses.
Description
Technical Field
The application belongs to the technical field of power, and particularly relates to a line loss analysis method and device applied to a power distribution network.
Background
The low-voltage distribution network is a bridge between the transmission network and the users, and is directly faced with millions of users. For a long time, a low-voltage power distribution network is connected with a plurality of intelligent devices, and the low-voltage power distribution network has a complex structure and a huge volume. Although the technology of the current power equipment management platform tends to be mature and perfect, the research on the technologies of real-time monitoring, fault diagnosis and the like of the low-voltage power distribution network is not mature.
At present, when line loss condition investigation is carried out on a low-voltage power distribution network, screening is generally carried out in a manual mode, the mode is large in workload, timely discovery and positioning of abnormal line loss (namely high line loss) phenomenon cannot be achieved, and workers are difficult to timely process the abnormal line loss phenomenon.
Disclosure of Invention
The purpose of the application is to provide a line loss analysis method and a line loss analysis device applied to a power distribution network, which can realize quick positioning of line branches generating line loss in a transformer area and are favorable for analyzing the line branches generating the line loss.
To achieve the above object, a first aspect of the present application provides a line loss analysis method applied to a power distribution network, including:
obtaining topological relations among nodes in a platform area;
acquiring the real-time electric quantity of each node in the platform area;
based on the topological relation and the real-time electric quantity of each node, respectively calculating the real-time line loss between father and son nodes in the platform area, wherein the real-time line loss between father and son nodes is the difference value between the real-time electric quantity of each father node with son nodes in the platform area and the real-time electric quantity sum of all son nodes of the corresponding father node;
comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value respectively;
if the real-time line loss is larger than the father-son node of the error threshold, determining a branch between the corresponding father-son nodes as an abnormal line loss branch;
and outputting the relevant node information of the abnormal line loss branch, wherein the relevant node information comprises the position information of the relevant node.
Based on the first aspect of the present application, in a first possible implementation manner, the obtaining a topological relation between nodes in a platform area includes:
constructing a branch topology model among all nodes in the platform area;
and obtaining the topological relation among the nodes in the platform area based on the branch topological model.
Based on the first aspect of the present application or the first possible implementation manner of the first aspect of the present application, in a second possible implementation manner, the obtaining the real-time electric quantity of each node in the platform area includes:
and acquiring the real-time electric quantity of each node in the platform area based on a dual-mode communication technology.
Based on the first aspect of the present application or the first possible implementation manner of the first aspect of the present application, in a third possible implementation manner, each node in the above-mentioned platform area is provided with an intelligent breaker;
the obtaining the real-time electric quantity of each node in the platform area includes:
and acquiring the real-time electric quantity of each node in the platform area based on each intelligent circuit breaker.
Based on the first aspect of the present application or the first possible implementation manner of the first aspect of the present application, in a fourth possible implementation manner, the line loss analysis method further includes:
and periodically updating the error threshold value based on the circuit line loss among the nodes in the platform region.
The second aspect of the present application provides a line loss analysis device applied to a power distribution network, including:
the first acquisition module is used for acquiring the topological relation among the nodes in the platform area;
the second acquisition module is used for acquiring the real-time electric quantity of each node in the platform area;
the calculation module is used for respectively calculating the real-time line loss between the father and son nodes in the platform area based on the topological relation and the real-time electric quantity of each node, wherein the real-time line loss between the father and son nodes is the difference value between the real-time electric quantity of each father node with son nodes in the platform area and the real-time electric quantity sum of all the son nodes of the corresponding father node;
the comparison module is used for respectively comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value;
the analysis module is used for determining a branch between the corresponding father and son nodes as an abnormal line loss branch if father and son nodes with the real-time line loss larger than the error threshold value exist;
and the output module is used for outputting the relevant node information of the abnormal line loss branch, wherein the relevant node information comprises the position information of the relevant node.
In a first possible implementation manner, the line loss analysis device according to the second aspect of the present application further includes: the topology module is used for constructing a branch topology model among the nodes in the platform area;
the first obtaining module is specifically configured to obtain a topological relation between nodes in the platform area based on the branch topological model.
In a second possible implementation manner, the second obtaining module is specifically configured to:
and acquiring the real-time electric quantity of each node in the platform area based on a dual-mode communication technology.
In a third possible implementation manner, according to the second aspect of the present application or the first possible implementation manner of the second aspect of the present application, the line loss analysis device further includes: the intelligent circuit breakers are respectively arranged at all nodes in the platform area;
the second obtaining module is specifically configured to:
and acquiring the real-time electric quantity of each node in the platform area based on each intelligent circuit breaker.
In a fourth possible implementation manner, according to the second aspect of the present application or the first possible implementation manner of the second aspect of the present application, the line loss analysis device further includes: and the updating module is used for periodically updating the error threshold value based on the circuit line loss among the nodes in the platform region.
From the above, the line loss analysis method and device applied to the power distribution network firstly obtain the topological relation among the nodes in the platform area and the real-time electric quantity of the nodes in the platform area; based on the topological relation and the real-time electric quantity of each node, respectively calculating the real-time line loss between each father and son node in the platform area; comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value respectively; if a parent-child node with the real-time line loss larger than the error threshold exists, determining a branch between the corresponding parent-child nodes as an abnormal line loss branch; and finally, outputting the related node information of the abnormal line loss branch to determine the position information of the related node. Because the real-time line loss between the father and son nodes is the difference value between the real-time electric quantity of each father node with son nodes and the real-time electric quantity sum of all son nodes with the corresponding father node in the platform region, the line branch (i.e. abnormal line loss branch) generating line loss in the platform region can be rapidly positioned based on the topological relation between the nodes in the platform region and the real-time electric quantity of the nodes, and the further analysis of the reason of the line loss generated by the line branch is facilitated in time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a line loss analysis method applied to a power distribution network according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a line loss analysis device applied to a power distribution network according to another embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It should be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The following description of the embodiments of the present application, taken in conjunction with the accompanying drawings, clearly and fully describes the technical solutions of the embodiments of the present application, and it is evident that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application, but the present application may be practiced in other ways other than those described herein, and persons skilled in the art will readily appreciate that the present application is not limited to the specific embodiments disclosed below.
Example 1
The embodiment of the application provides a line loss analysis method applied to a power distribution network, as shown in fig. 1, including:
step 11: obtaining topological relations among nodes in a platform area;
in this embodiment of the present application, the above-mentioned district specifically can be the low-voltage district in the distribution network, in practical application, low-voltage district is provided with intelligent distribution transformer terminal and a large amount of smart machine generally, and distribution monitoring to this low-voltage district can be realized through intelligent distribution transformer terminal and a large amount of smart machine interconnect and communication, therefore, execution subject in this embodiment of the present application can be for intelligent distribution transformer terminal. Specifically, the topology relationship among the nodes in the transformer area can be obtained through the intelligent distribution transformer terminal (such as a transformer and the like). Each node may be a plurality of intelligent devices (such as an intelligent circuit breaker, a detection device, a switch, an ammeter, etc.) connected with the intelligent distribution transformer terminal.
Optionally, the obtaining the topological relation between the nodes in the platform area includes: constructing a branch topology model among all nodes in the platform area; and obtaining the topological relation among the nodes in the platform area based on the branch topological model. The topological relation can be used for describing the connection and adjacency relation of each node in the platform area in mutual space so as to determine the branch and hierarchical structure of each node in the platform area.
In an application scenario, the constructing a branch topology model between nodes in the platform area includes: respectively sending current trigger instructions to each node in the platform area at different time points so as to trigger each node to transmit specific current to each father node; then acquiring current statistical information, wherein the current statistical information comprises the number of specific currents received by each node in the platform area and the receiving time of the corresponding specific currents; and finally, constructing the branch topology model based on the current statistical information and the time point of sending the current trigger instruction to each node. Because the specific current is the current which is appointed in advance and can be identified, and the specific current is sent at different time points aiming at different nodes, the time point (namely the receiving time) at which the specific current is received is also different, the situation of the child node contained in each node can be judged based on the situation of the specific current received by each node, and further the automatic identification and construction of the branch topology model of the station area are realized.
Step 12: acquiring the real-time electric quantity of each node in the platform area;
optionally, the acquiring the real-time electric quantity of each node in the platform area includes: and acquiring the real-time electric quantity of each node in the platform area based on a dual-mode communication technology.
In an application scenario, the intelligent distribution transformer terminal in the low-voltage transformer area and each intelligent device are all communicated through a dual-mode communication technology, for example, when the topological relation between each node in the transformer area and the real-time electric quantity of each node are acquired, the communication can be performed through the dual-mode communication technology. Because the dual-mode communication technology can communicate through a carrier communication mode (HPLC) and a wireless communication mode (RF), a channel with the best communication quality can be selected for data transmission in each communication direction, so that communication interference is effectively avoided, and communication quality is provided.
Optionally, each node in the platform area is provided with an intelligent circuit breaker, and the intelligent circuit breaker is configured with an electric quantity statistics function; the obtaining the real-time electric quantity of each node in the platform area includes: and acquiring the real-time electric quantity of each node in the platform area based on each intelligent circuit breaker.
Step 13: based on the topological relation and the real-time electric quantity of each node, respectively calculating the real-time line loss between the father and son nodes in the platform area;
the real-time line loss between the father and son nodes is the difference value between the real-time electric quantity of each father node with son nodes and the sum of the real-time electric quantity of all son nodes of the corresponding father node in the platform area;
in an application scenario, a difference between a total real-time electric quantity of a main node (i.e., a node without a parent node) in the platform area and a total real-time electric quantity of all end nodes (i.e., nodes without child nodes) in the platform area may be calculated first, and based on the difference, a total real-time line loss in the platform area is determined, and when the total real-time line loss is greater than a total error threshold, based on the topological relation and the real-time electric quantity of each node, the real-time line loss between each parent node and each child node in the platform area is calculated, and a subsequent step is executed. When the total real-time line loss in the platform area is larger than the total error threshold (namely, when the situation of abnormal line loss is suspected to be generated in the platform area), line loss analysis is timely carried out based on the real-time line loss among the father-son nodes in the platform area, so that the line loss branches generating the abnormal line loss can be rapidly positioned.
Step 14: comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value respectively;
optionally, the line loss analysis method further includes: and periodically updating the error threshold value based on the circuit line loss among the nodes in the platform region. Because the circuit line loss generated by the normal aging phenomenon of the cable exists between the nodes, the circuit line loss between the nodes can be obtained at preset time, and the error threshold value is periodically checked and updated based on the circuit line loss, so that the accuracy of the analysis of the line loss is improved. The preset time is half a year or one year, and may be set according to practical situations, which is not limited herein.
Step 15: if the real-time line loss is larger than the father-son node of the error threshold, determining a branch between the corresponding father-son nodes as an abnormal line loss branch;
in practical application, besides circuit line loss generated by normal aging of cables, error in electric quantity statistics of partial branches may occur due to failure of an electric quantity statistics device, or illegal electric quantity loss caused by illegal wire theft by users may occur. Therefore, when an abnormal line loss occurs in the platform area (i.e., when the real-time line loss is greater than the error threshold), the position and the reason of the abnormal line loss need to be checked, so that the real-time line loss in the platform area can be monitored by the line loss analysis method provided by the embodiment of the application, and the abnormal line loss branch can be rapidly positioned when the abnormal line loss occurs. The method is favorable for analyzing the reason of the abnormal line loss aiming at the abnormal line loss branch, and further judging whether the electric quantity statistics device is in fault or the electricity stealing phenomenon of a user.
Step 16: outputting the related node information of the abnormal line loss branch;
wherein the related node information includes position information of the related node. Optionally, the location information includes a hierarchical location of the relevant node in the branch topology model and a geographic location of the relevant node in the map.
In one application scenario, a line loss cause analysis model may be constructed based on a learning algorithm and sample data, where the sample data may include data such as a cause of abnormal line loss between nodes and a power consumption of a corresponding node. Further, after the relevant node information of the abnormal line loss branch is output, based on the line loss cause analysis model, the specific position and suspected cause of the abnormal line loss in the abnormal line loss branch can be further analyzed by combining the topological relation of the abnormal line loss branch, the relevant node information and the real-time electric quantity of each node. Or in another application scenario, the small-range investigation and further analysis can be performed manually based on the output related node information of the abnormal line loss branch, which is not limited herein.
From the above, the line loss analysis method applied to the power distribution network provided by the embodiment of the application firstly obtains the topological relation among the nodes in the platform area and the real-time electric quantity of the nodes in the platform area; based on the topological relation and the real-time electric quantity of each node, respectively calculating the real-time line loss between each father and son node in the platform area; comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value respectively; if a parent-child node with the real-time line loss larger than the error threshold exists, determining a branch between the corresponding parent-child nodes as an abnormal line loss branch; and finally, outputting the related node information of the abnormal line loss branch to determine the position information of the related node. Because the real-time line loss between the father and son nodes is the difference between the real-time electric quantity of each father node with son nodes in the platform region and the real-time electric quantity sum of all the son nodes of the corresponding father node, the embodiment of the application can realize the rapid positioning of the line branch (i.e. the abnormal line loss branch) generating the line loss in the platform region based on the topological relation between the nodes in the platform region and the real-time electric quantity of each node, and is favorable for further analyzing the reason of the line loss generated by the line branch in time.
Example two
The embodiment of the application provides a line loss analysis device applied to a power distribution network, and fig. 2 shows a schematic structural diagram of the line loss analysis device applied to the power distribution network.
Specifically, referring to fig. 2, the line loss analysis device includes a first acquisition module 21, a first acquisition module 22, a calculation module 23, a comparison module 24, an analysis module 25, and an output module 26.
A first obtaining module 21, configured to obtain a topological relation between nodes in a platform area;
a first obtaining module 22, configured to obtain real-time electric quantity of each node in the platform area;
a calculating module 23, configured to calculate, based on the topological relation and the real-time electric quantity of each node, a real-time line loss between each parent-child node in the platform area, where the real-time line loss between each parent-child node is a difference value between the real-time electric quantity of each parent node having a child node in the platform area and a sum of the real-time electric quantities of all child nodes of the corresponding parent node;
a comparison module 24, configured to compare the magnitude relation between the real-time line loss of each parent-child node and the error threshold value;
an analysis module 25, configured to determine a branch between the corresponding parent-child nodes as an abnormal line loss branch if there are parent-child nodes whose real-time line loss is greater than the error threshold;
and an output module 26, configured to output relevant node information of the abnormal line loss branch, where the relevant node information includes location information of a relevant node.
In this embodiment of the present application, the above-mentioned district specifically can be the low-voltage district in the distribution network, in practical application, low-voltage district is provided with intelligent distribution transformer terminal and a large amount of smart machine generally, and distribution monitoring to this low-voltage district can be realized through intelligent distribution transformer terminal and a large amount of smart machine interconnect and communication, therefore, execution subject in this embodiment of the present application can be for intelligent distribution transformer terminal. Specifically, the topology relationship among the nodes in the transformer area can be obtained through the intelligent distribution transformer terminal (such as a transformer and the like). Each node may be a plurality of intelligent devices (such as an intelligent circuit breaker, a detection device, a switch, an ammeter, etc.) connected with the intelligent distribution transformer terminal.
Optionally, the line loss analysis device further includes: a topology module (not shown in the figure) for constructing a branch topology model between the nodes in the above-mentioned area;
the first obtaining module 21 is specifically configured to obtain a topological relation between nodes in the area based on the branch topological model.
Optionally, the second obtaining module 22 is specifically configured to: and acquiring the real-time electric quantity of each node in the platform area based on a dual-mode communication technology.
Optionally, the line loss analysis device further includes: intelligent circuit breakers (not shown) respectively arranged at nodes in the transformer area;
the second obtaining module 22 is specifically configured to: and acquiring the real-time electric quantity of each node in the platform area based on each intelligent circuit breaker.
Optionally, the line loss analysis device further includes: an updating module (not shown in the figure) is configured to update the error threshold periodically based on a circuit line loss between nodes in the transformer area.
As can be seen from the above, in the line loss analysis device applied to the power distribution network provided in the embodiments of the present application, the topological relation between the nodes in the platform area and the real-time electric quantity of each node in the platform area are obtained through the first obtaining module 21 and the second obtaining module 22 respectively; the real-time line loss between the father and son nodes in the platform area is calculated respectively by a calculation module 23 based on the topological relation and the real-time electric quantity of each node; comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value through a comparison module 24 respectively; if there are father-son nodes with real-time line loss greater than the error threshold, determining a branch between the corresponding father-son nodes as an abnormal line loss branch through an analysis module 25; and finally, outputting the relevant node information of the abnormal line loss branch through the output module 26 to determine the position information of the relevant node. Because the real-time line loss between the father and son nodes is the difference between the real-time electric quantity of each father node with son nodes in the platform region and the real-time electric quantity sum of all the son nodes of the corresponding father node, the embodiment of the application can realize the rapid positioning of the line branch (i.e. the abnormal line loss branch) generating the line loss in the platform region based on the topological relation between the nodes in the platform region and the real-time electric quantity of each node, and is favorable for further analyzing the reason of the line loss generated by the line branch in time.
It should be appreciated that the above-described integrated units/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer-readable storage medium. Based on such understanding, the present application may implement all or part of the flow of the method of the above embodiment, or may be implemented by instructing related hardware by a computer program, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of each method embodiment described above when executed by a processor. The computer program comprises computer program code, and the computer program code can be in a source code form, an object code form, an executable file or some intermediate form and the like. The computer readable medium may include: any entity or device capable of carrying the computer program code described above, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth. The content of the computer readable storage medium can be appropriately increased or decreased according to the requirements of the legislation and the patent practice in the jurisdiction.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
It will be apparent to those skilled in the art that the above-described functional units and units are merely illustrated for convenience and brevity, and in practical application, the above-described functional distribution may be performed by different functional units and units according to needs, i.e., the internal structure of the above-described apparatus is divided into different functional units or units, so as to perform all or part of the above-described functions. The functional units and units in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, the specific names of the functional units and the units are only used for distinguishing from each other, and are not used for limiting the protection scope of the application. The units in the above system and the specific working process of the units may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
It should be noted that, the method and the details thereof provided in the foregoing embodiments may be combined into the apparatus and the device provided in the embodiments, and are referred to each other and are not described in detail.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal device and method may be implemented in other manners. For example, the apparatus/device embodiments described above are merely illustrative, e.g., the above-described elements or divisions of elements are merely one logical functional division, and may be implemented in other manners, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (4)
1. The line loss analysis method applied to the power distribution network is characterized by comprising the following steps of:
obtaining topological relations among nodes in a platform area;
acquiring real-time electric quantity of each node in the platform area;
based on the topological relation and the real-time electric quantity of each node, respectively calculating the real-time line loss between father and son nodes in the platform area, wherein the real-time line loss between father and son nodes is the difference value between the real-time electric quantity of each father node with son nodes in the platform area and the sum of the real-time electric quantity of all son nodes of the corresponding father node;
comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value respectively;
if the real-time line loss is larger than the father-son node of the error threshold value, determining a branch between the corresponding father-son nodes as an abnormal line loss branch;
outputting relevant node information of the abnormal line loss branch, wherein the relevant node information comprises position information of relevant nodes;
the step of obtaining the topological relation among the nodes in the platform area comprises the following steps:
constructing a branch topology model among all nodes in the platform area;
acquiring a topological relation among nodes in the platform area based on the branch topological model;
the constructing a branch topology model among nodes in the platform area comprises the following steps:
respectively sending current trigger instructions to each node in the platform area at different time points so as to trigger each node to transmit specific current to each father node; then obtaining current statistical information, wherein the current statistical information comprises the number of the specific currents received by each node in the platform area and the receiving time of the corresponding specific currents; finally, constructing the branch topology model based on the current statistical information and the time point of sending the current trigger instruction to each node; wherein the specific current is a current which is agreed in advance and can be identified;
the obtaining the real-time electric quantity of each node in the platform area comprises the following steps:
acquiring real-time electric quantity of each node in the platform area based on a dual-mode communication technology; the dual-mode communication technology communicates through a carrier communication mode and a wireless communication mode;
each node in the platform area is provided with an intelligent breaker;
the obtaining the real-time electric quantity of each node in the platform area comprises the following steps:
and acquiring the real-time electric quantity of each node in the platform area based on each intelligent circuit breaker.
2. The line loss analysis method of claim 1, further comprising:
and periodically updating the error threshold value based on circuit line loss among nodes in the platform region.
3. Line loss analysis device for distribution network, characterized by comprising:
the first acquisition module is used for acquiring the topological relation among the nodes in the platform area;
the second acquisition module is used for acquiring the real-time electric quantity of each node in the platform area;
the calculation module is used for respectively calculating the real-time line loss between the father and son nodes in the platform area based on the topological relation and the real-time electric quantity of each node, wherein the real-time line loss between the father and son nodes is the difference value between the real-time electric quantity of each father node with son nodes in the platform area and the real-time electric quantity sum of all the son nodes of the corresponding father node;
the comparison module is used for respectively comparing the magnitude relation between the real-time line loss of each father-son node and the error threshold value;
the analysis module is used for determining a branch between the corresponding father and son nodes as an abnormal line loss branch if father and son nodes with the real-time line loss larger than the error threshold value exist;
the output module is used for outputting the relevant node information of the abnormal line loss branch, wherein the relevant node information comprises the position information of relevant nodes;
the line loss analysis device further includes:
the topology module is used for constructing a branch topology model among all nodes in the platform region;
the first obtaining module is specifically configured to obtain a topological relation between nodes in the platform area based on the branch topological model;
the topology module is specifically configured to:
respectively sending current trigger instructions to each node in the platform area at different time points so as to trigger each node to transmit specific current to each father node; then obtaining current statistical information, wherein the current statistical information comprises the number of the specific currents received by each node in the platform area and the receiving time of the corresponding specific currents; finally, constructing the branch topology model based on the current statistical information and the time point of sending the current trigger instruction to each node; wherein the specific current is a current which is agreed in advance and can be identified;
the second obtaining module is specifically configured to:
acquiring real-time electric quantity of each node in the platform area based on a dual-mode communication technology; the dual-mode communication technology communicates through a carrier communication mode and a wireless communication mode;
the line loss analysis device further includes: the intelligent circuit breakers are respectively arranged at all nodes in the platform area;
the second obtaining module is specifically configured to:
and acquiring the real-time electric quantity of each node in the platform area based on each intelligent circuit breaker.
4. The line loss analysis device of claim 3, further comprising: and the updating module is used for periodically updating the error threshold value based on the circuit line loss among the nodes in the platform region.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011467033.9A CN112688310B (en) | 2020-12-14 | 2020-12-14 | Line loss analysis method and device applied to power distribution network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011467033.9A CN112688310B (en) | 2020-12-14 | 2020-12-14 | Line loss analysis method and device applied to power distribution network |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112688310A CN112688310A (en) | 2021-04-20 |
CN112688310B true CN112688310B (en) | 2024-01-09 |
Family
ID=75449398
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011467033.9A Active CN112688310B (en) | 2020-12-14 | 2020-12-14 | Line loss analysis method and device applied to power distribution network |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112688310B (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113109656A (en) * | 2021-04-26 | 2021-07-13 | 北京中兆龙芯软件科技有限公司 | Low-voltage transformer area line loss fine analysis system and analysis method |
CN113805138B (en) * | 2021-10-18 | 2023-10-13 | 国网湖南省电力有限公司 | Smart electric meter error estimation method and device based on directed parameter traversal |
CN114355090A (en) * | 2022-01-13 | 2022-04-15 | 云南电网有限责任公司电力科学研究院 | Line loss analysis method, device and equipment based on power topology information acquisition system |
CN115994136B (en) * | 2023-01-10 | 2023-09-05 | 广东电网有限责任公司 | Energy data cleaning method and system based on energy network topological relation |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108063493A (en) * | 2017-12-25 | 2018-05-22 | 光科技股份有限公司 | A kind of method and system of quick positioning low-voltage platform area line loss |
WO2019128335A1 (en) * | 2017-12-29 | 2019-07-04 | 国网天津市电力公司电力科学研究院 | Distribution network topology error identification algorithm |
CN110601363A (en) * | 2019-09-20 | 2019-12-20 | 重庆物奇科技有限公司 | Station area branch identification method and system based on sinusoidal current disturbance |
CN110943450A (en) * | 2019-12-12 | 2020-03-31 | 山东电工电气集团有限公司 | Platform area automatic topology line loss analysis method based on Internet of things |
CN111030303A (en) * | 2019-12-27 | 2020-04-17 | 无锡圣普电力科技有限公司 | Low-voltage transformer area topology identification system based on characteristic current |
CN111404270A (en) * | 2020-04-02 | 2020-07-10 | 国电南瑞南京控制系统有限公司 | Low-voltage distribution area topology level identification method, device and equipment based on synchronous counting method |
CN111509706A (en) * | 2020-04-24 | 2020-08-07 | 广东电网有限责任公司东莞供电局 | Power supply topology information correction method, system, device and storage medium |
CN111817289A (en) * | 2020-06-08 | 2020-10-23 | 华南理工大学 | Low-voltage distribution station physical topology identification method, device, system, terminal and medium |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103460552B (en) * | 2011-04-15 | 2016-08-10 | 西门子公司 | For the method determining the topology of low voltage electric network |
US9214836B2 (en) * | 2012-07-05 | 2015-12-15 | Silver Spring Networks, Inc. | Power grid topology discovery via time correlation of passive measurement events |
US11289942B2 (en) * | 2017-10-27 | 2022-03-29 | Operation Technology Incorporated | Model driven estimation of faulted area in electric distribution systems |
EP3948563B1 (en) * | 2019-03-25 | 2023-11-08 | S&C Electric Company | Topology detection |
-
2020
- 2020-12-14 CN CN202011467033.9A patent/CN112688310B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108063493A (en) * | 2017-12-25 | 2018-05-22 | 光科技股份有限公司 | A kind of method and system of quick positioning low-voltage platform area line loss |
WO2019128335A1 (en) * | 2017-12-29 | 2019-07-04 | 国网天津市电力公司电力科学研究院 | Distribution network topology error identification algorithm |
CN110601363A (en) * | 2019-09-20 | 2019-12-20 | 重庆物奇科技有限公司 | Station area branch identification method and system based on sinusoidal current disturbance |
CN110943450A (en) * | 2019-12-12 | 2020-03-31 | 山东电工电气集团有限公司 | Platform area automatic topology line loss analysis method based on Internet of things |
CN111030303A (en) * | 2019-12-27 | 2020-04-17 | 无锡圣普电力科技有限公司 | Low-voltage transformer area topology identification system based on characteristic current |
CN111404270A (en) * | 2020-04-02 | 2020-07-10 | 国电南瑞南京控制系统有限公司 | Low-voltage distribution area topology level identification method, device and equipment based on synchronous counting method |
CN111509706A (en) * | 2020-04-24 | 2020-08-07 | 广东电网有限责任公司东莞供电局 | Power supply topology information correction method, system, device and storage medium |
CN111817289A (en) * | 2020-06-08 | 2020-10-23 | 华南理工大学 | Low-voltage distribution station physical topology identification method, device, system, terminal and medium |
Non-Patent Citations (2)
Title |
---|
低压配电台区网络拓扑和相别自动辨识技术研究;李明维;张传远;马晓昆;梁薇;;《电气时代》(第10期);第62-63页 * |
基于双亲节点矩阵拓扑识别的配电网故障判断新算法;韦肖燕;周羽生;彭琢;;《中国电力教育》(第S3期);第560-562页 * |
Also Published As
Publication number | Publication date |
---|---|
CN112688310A (en) | 2021-04-20 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112688310B (en) | Line loss analysis method and device applied to power distribution network | |
CN112688309B (en) | Branch topology construction method and device applied to power distribution network | |
CN109872112B (en) | Full-automatic closed-loop detection method and device for intelligent substation | |
CN110556920A (en) | Distribution automation monitoring method, system, terminal and storage medium | |
CN109902373A (en) | A kind of area under one's jurisdiction Fault Diagnosis for Substation, localization method and system | |
CN110108980A (en) | A kind of recognition methods of the anomalous event of electric system and device | |
CN109586281B (en) | Power distribution network reliability assessment method, device and medium based on node optimization number | |
CN108596450B (en) | Power grid risk early warning method and system | |
CN117152925B (en) | Big data-based power communication data processing system | |
CN113740666A (en) | Method for positioning storm source fault of data center power system alarm | |
CA2439557A1 (en) | Fault management system for a communications network | |
CN112910699A (en) | Intelligent fault detection method and device for power internet of things | |
CN116341950A (en) | Comprehensive betting-based power system vulnerable line assessment method and device | |
CN114501755B (en) | Lighting facility monitoring method, system, device and computer readable storage medium | |
CN110391935B (en) | Measurement degree evaluation method and system considering information physical coupling characteristics and information disturbance | |
CN113312518A (en) | Grid structure analysis method, device and equipment based on CIM (common information model) of power distribution network | |
CN117996965B (en) | Intelligent power distribution network circuit breaker control method and control system | |
CN117499817B (en) | Distributed ammeter acquisition system and acquisition method | |
CN116739348A (en) | Risk assessment method and system for safety state of power grid equipment | |
CN117692940B (en) | Microwave system performance detection method based on microwave link | |
CN115442814B (en) | Continuous weak coverage identification method and device, electronic equipment and storage medium | |
CN117517862B (en) | Fault positioning method and device for power distribution network | |
WO2024138968A1 (en) | Base station fault diagnosis method and apparatus | |
CN117007912B (en) | Distribution network line power failure analysis method, device, equipment and storage medium | |
CN112186741B (en) | Power grid operation weak point distinguishing method based on BPA (Business Process analysis) simulation calculation |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |