CN112688310A - 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
- CN112688310A CN112688310A CN202011467033.9A CN202011467033A CN112688310A CN 112688310 A CN112688310 A CN 112688310A CN 202011467033 A CN202011467033 A CN 202011467033A CN 112688310 A CN112688310 A CN 112688310A
- Authority
- CN
- China
- Prior art keywords
- node
- line loss
- real
- nodes
- time
- 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.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 42
- 230000002159 abnormal effect Effects 0.000 claims abstract description 37
- 238000004891 communication Methods 0.000 claims description 18
- 238000005516 engineering process Methods 0.000 claims description 11
- 230000002349 favourable effect Effects 0.000 abstract description 5
- 238000000034 method Methods 0.000 description 11
- 238000004590 computer program Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 4
- 238000005192 partition 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
- 230000005611 electricity 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
- 230000009466 transformation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 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
- 238000004128 high performance liquid chromatography Methods 0.000 description 1
- 238000012544 monitoring process 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
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Abstract
The application provides a line loss analysis method and device applied to a power distribution network, belongs to the technical field of electric power, and comprises the following steps: acquiring a topological relation between nodes in a distribution room; acquiring real-time electric quantity of each node in the transformer area; respectively calculating real-time line loss between each father node and each child node in the transformer area based on the topological relation and the real-time electric quantity of each node, wherein the real-time line loss between each father node and each child node is the difference between the real-time electric quantity of each father node with the child node in the transformer area and the sum of the real-time electric quantities of all the child nodes of the corresponding father node; respectively comparing the real-time line loss of each parent-child node with the error threshold value; if the parent-child nodes with the real-time line loss larger than the error threshold exist, determining the 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 that this application provided can realize producing the line branch's of line loss quick location in the platform district, is favorable to carrying out the analysis to the line branch that produces the line loss.
Description
Technical Field
The application belongs to the technical field of electric 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 users, and directly faces millions of users. For a long time, the low-voltage distribution network is connected with numerous intelligent devices, and is complex in structure and large in size. Although the technology of the current power equipment management platform is mature and perfect, the research on technologies such as real-time monitoring and fault diagnosis of a low-voltage distribution network is not mature.
At present when carrying out the line loss condition investigation to low voltage distribution network, generally screen through artifical mode, this mode is not only work load big, can't realize in time discovering and the location to unusual line loss (be high line loss) phenomenon moreover, leads to the staff to be difficult to in time handle unusual line loss phenomenon.
Disclosure of Invention
The application aims to provide a line loss analysis method and device applied to a power distribution network, which can realize rapid positioning of line branches generating line loss in a distribution area and is beneficial to analysis of the line branches generating the line loss.
In order 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:
acquiring a topological relation between nodes in a distribution room;
acquiring real-time electric quantity of each node in the transformer area;
respectively calculating real-time line loss between each parent node and each child node in the distribution area based on the topological relation and the real-time electric quantity of each node, wherein the real-time line loss between each parent node and each child node is a difference value between the real-time electric quantity of each parent node with the child node in the distribution area and the sum of the real-time electric quantities of all the child nodes of the corresponding parent node;
respectively comparing the real-time line loss of each parent-child node with the error threshold value;
if the parent-child nodes with the real-time line loss larger than the error threshold exist, determining the 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, wherein the related node information comprises the position information of the related 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 station area includes:
constructing a branch topology model among nodes in the transformer area;
and acquiring the topological relation among the nodes in the transformer 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 distribution area includes:
and acquiring the real-time electric quantity of each node in the distribution 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 distribution room is provided with an intelligent circuit breaker;
the obtaining of the real-time electric quantity of each node in the distribution area includes:
and acquiring real-time electric quantity of each node in the transformer 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 between the nodes in the transformer area.
This application second aspect provides a be applied to line loss analytical equipment of distribution network, includes:
the first acquisition module is used for acquiring the topological relation among nodes in the transformer area;
the second acquisition module is used for acquiring the real-time electric quantity of each node in the transformer area;
a calculating module, configured to calculate, based on the topological relation and the real-time electric quantities of the nodes, real-time line losses between parent and child nodes in the distribution room, where the real-time line losses between the parent and child nodes are a difference between a real-time electric quantity of each parent node having a child node in the distribution room and a sum of real-time electric quantities of all child nodes of the corresponding parent node;
the comparison module is used for respectively comparing the real-time line loss of each parent-child node with the magnitude relation between the error threshold values;
the analysis module is used for determining branches between corresponding parent-child nodes as abnormal line loss branches if the parent-child nodes with real-time line loss larger than the error threshold exist;
and the output module is used for outputting the related node information of the abnormal line loss branch, wherein the related node information comprises the position information of the related node.
Based on the second aspect of the present application, in a first possible implementation manner, the line loss analysis apparatus further includes: the topology module is used for constructing a branch topology model among nodes in the transformer area;
the first obtaining module is specifically configured to obtain a topological relation between nodes in the distribution room based on the branch topology model.
Based on the second aspect of the present application or the first possible implementation manner of the second aspect of the present application, 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 distribution area based on a dual-mode communication technology.
Based on the second aspect of the present application or the first possible implementation manner of the second aspect of the present application, in a third possible implementation manner, the line loss analysis apparatus further includes: the intelligent circuit breakers are respectively arranged at each node in the transformer area;
the second obtaining module is specifically configured to:
and acquiring real-time electric quantity of each node in the transformer area based on each intelligent circuit breaker.
In a fourth possible implementation manner, based on 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 apparatus further includes: and the updating module is used for periodically updating the error threshold value based on the circuit line loss between the nodes in the transformer area.
From the above, according to the line loss analysis method and device applied to the power distribution network, firstly, the topological relation among the nodes in the distribution area and the real-time electric quantity of the nodes in the distribution area are obtained; respectively calculating real-time line loss between each parent node and each child node in the distribution room based on the topological relation and the real-time electric quantity of each node; respectively comparing the real-time line loss of each parent-child node with the error threshold value; if the parent-child nodes with the real-time line loss larger than the error threshold exist, determining the 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 each father and son node is the difference value between the real-time electric quantity of each father node with a son node in the transformer area and the sum of the real-time electric quantities of all the son nodes of the corresponding father nodes, the method and the device can realize the quick positioning of the line branch (namely the abnormal line loss branch) generating the line loss in the transformer area based on the topological relation between the nodes in the transformer area and the real-time electric quantities of the nodes, and are favorable for further analyzing the reason of the line loss generated by the line branch in time.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of a line loss analysis method applied to a power distribution network according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a line loss analysis apparatus 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 particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the 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 will 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 the specification of the present application 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 technical solutions in the embodiments of the present application are clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
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 than those described herein, and it will be apparent to those of ordinary skill in the art that the present application is not limited by the specific embodiments disclosed below.
Example one
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: acquiring a topological relation between nodes in a distribution room;
in this application embodiment, above-mentioned platform district specifically can be for the low-voltage platform district in the distribution network, and in practical application, the low-voltage platform district is provided with intelligence generally and joins in marriage and becomes terminal and a large amount of smart machine, joins in marriage through intelligence and becomes terminal and a large amount of smart machine interconnect and communication and can realize the distribution control to this low-voltage platform district, consequently, the execution main part in this application embodiment can join in marriage for intelligence and become the terminal. Specifically, the topological relation between nodes in the transformer area can be obtained through an intelligent distribution terminal (such as a transformer). Each node may be a plurality of intelligent devices (such as an intelligent circuit breaker, a detection device, a switch or an electric meter, etc.) connected to the intelligent distribution transformer terminal.
Optionally, the obtaining of the topological relation between the nodes in the station area includes: constructing a branch topology model among nodes in the transformer area; and acquiring the topological relation among the nodes in the transformer 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 region on the mutual space so as to determine the branch and the hierarchical structure of each node in the platform region.
In an application scenario, the building a branch topology model between nodes in the distribution area includes: respectively sending current trigger instructions to each node in the transformer area at different time points to trigger each node to transmit specific current to a respective father node; then obtaining current statistical information, wherein the current statistical information comprises the number of specific currents received by each node in the distribution room 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 a current trigger instruction to each node. Since the specific current is a predetermined and identifiable current and is sent at different time points for different nodes, the time points (i.e., receiving times) at which the specific current is received are different, the condition of the child nodes included in each node can be judged based on the condition of the specific current received by each node, and thus, the automatic identification and construction of the branch topology model of the transformer area are realized.
Step 12: acquiring real-time electric quantity of each node in the transformer area;
optionally, the obtaining of the real-time electric quantity of each node in the distribution area includes: and acquiring the real-time electric quantity of each node in the distribution area based on a dual-mode communication technology.
In an application scenario, the intelligent distribution and transformation terminal in the low-voltage transformer area communicates with each intelligent device through a dual-mode communication technology, and for example, when the topological relation among nodes in the transformer area and the real-time electric quantity of each node are acquired, the intelligent distribution and transformation terminal and each intelligent device can communicate through the dual-mode communication technology. Because the dual-mode communication technology can carry out communication through a carrier communication mode (HPLC) and a wireless communication mode (RF), a channel with the best communication quality can be selected in each communication direction for carrying out data transmission, communication interference is effectively avoided, and communication quality is provided.
Optionally, each node in the distribution room is provided with an intelligent circuit breaker, and the intelligent circuit breaker is configured with an electric quantity counting function; then, the obtaining of the real-time electric quantity of each node in the distribution area includes: and acquiring real-time electric quantity of each node in the transformer area based on each intelligent circuit breaker.
Step 13: respectively calculating real-time line loss between each parent node and each child node in the transformer area based on the topological relation and the real-time electric quantity of each node;
the real-time line loss between the parent nodes is the difference between the real-time electric quantity of each parent node with the child node in the transformer area and the sum of the real-time electric quantities of all the child nodes of the corresponding parent node;
in an application scenario, a difference between a total real-time power of a main node (i.e., a node without a parent node) in the distribution room and a total real-time power of all end nodes (i.e., nodes without child nodes) in the distribution room may be calculated first, and a total real-time line loss in the distribution room is determined based on the difference, and when the total real-time line loss is greater than a total error threshold, real-time line losses between parent nodes and child nodes in the distribution room are calculated based on the topological relation and the real-time power of each node, and subsequent steps are performed. When the total real-time line loss in the transformer area is larger than a total error threshold value (namely when abnormal line loss is suspected to be generated in the transformer area), line loss analysis is performed in time based on the real-time line loss between parent nodes and child nodes in the transformer area, so that the line loss branch generating the abnormal line loss is rapidly positioned.
Step 14: respectively comparing the real-time line loss of each parent-child node with the error threshold value;
optionally, the line loss analysis method further includes: and periodically updating the error threshold value based on the circuit line loss between the nodes in the transformer area. Because 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 analyzing the line loss is improved. The preset time is half a year or a year, and can be set according to actual conditions, and is not limited herein.
Step 15: if the parent-child nodes with the real-time line loss larger than the error threshold exist, determining the branch between the corresponding parent-child nodes as an abnormal line loss branch;
in practical application, besides the circuit loss caused by the normal aging phenomenon of the cable between each node, the electric quantity statistics of partial branches may be wrong due to the fault of the electric quantity statistics device, or the phenomenon that the electric quantity is lost due to illegal electricity stealing of a private wire of a user may also occur. Therefore, when abnormal line loss occurs in the distribution room (that is, when the real-time line loss is greater than the error threshold), the location and the cause of the abnormal line loss need to be checked, so that the real-time line loss in the distribution room can be monitored by the line loss analysis method provided by the embodiment of the application, and the abnormal line loss branch can be quickly positioned when the abnormal line loss occurs. The method is favorable for analyzing the reason of generating the abnormal line loss aiming at the abnormal line loss branch, and further judging whether the electric quantity counting device fails or the electricity stealing phenomenon of a user exists.
Step 16: outputting the related node information of the abnormal line loss branch;
wherein the related node information includes location 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 an application scenario, a line loss reason analysis model may be constructed based on a learning algorithm and sample data, where the sample data may include data such as a reason for generating abnormal line loss between nodes and power consumption of a corresponding node. Further, after the node information related to the abnormal line loss branch is output, the specific position and suspected reason 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 related node information and the real-time electric quantity of each node based on the line loss reason analysis model. Or, in another application scenario, based on the output relevant node information of the abnormal line loss branch, a small-range investigation may be performed manually and further analysis may be performed, which is not limited herein.
As can be seen from the above, according to the line loss analysis method applied to the power distribution network provided by the embodiment of the present application, firstly, the topological relation among the nodes in the distribution room and the real-time electric quantity of each node in the distribution room are obtained; respectively calculating real-time line loss between each parent node and each child node in the distribution room based on the topological relation and the real-time electric quantity of each node; respectively comparing the real-time line loss of each parent-child node with the error threshold value; if the parent-child nodes with the real-time line loss larger than the error threshold exist, determining the 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 a son node in the transformer area and the sum of the real-time electric quantities of all the son nodes of the corresponding father nodes, the embodiment of the application can realize the quick positioning of the line branch (namely, the abnormal line loss branch) generating the line loss in the transformer area based on the topological relation between the nodes in the transformer area and the real-time electric quantities of the nodes, 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, which is provided by the embodiment of the application.
Specifically, referring to fig. 2, the line loss analyzing apparatus includes a first obtaining module 21, a first obtaining module 22, a calculating module 23, a comparing module 24, an analyzing module 25, and an output module 26.
A first obtaining module 21, configured to obtain a topological relation between nodes in a distribution room;
a first obtaining module 22, configured to obtain real-time electric quantities of nodes in the distribution area;
a calculating module 23, configured to calculate, based on the topological relation and the real-time electric quantities of the nodes, real-time line losses between parent and child nodes in the distribution room, where the real-time line losses between the parent and child nodes are a difference between a real-time electric quantity of each parent node having a child node in the distribution room and a sum of real-time electric quantities of all child nodes of the corresponding parent node;
the comparison module 24 is configured to compare the magnitude relationship between the real-time line loss of each parent-child node and the error threshold value;
the analysis module 25 is configured to determine a branch between corresponding parent and child nodes as an abnormal line loss branch if there is a parent and child node whose real-time line loss is greater than the error threshold;
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 application embodiment, above-mentioned platform district specifically can be for the low-voltage platform district in the distribution network, and in practical application, the low-voltage platform district is provided with intelligence generally and joins in marriage and becomes terminal and a large amount of smart machine, joins in marriage through intelligence and becomes terminal and a large amount of smart machine interconnect and communication and can realize the distribution control to this low-voltage platform district, consequently, the execution main part in this application embodiment can join in marriage for intelligence and become the terminal. Specifically, the topological relation between nodes in the transformer area can be obtained through an intelligent distribution terminal (such as a transformer). Each node may be a plurality of intelligent devices (such as an intelligent circuit breaker, a detection device, a switch or an electric meter, etc.) connected to the intelligent distribution transformer terminal.
Optionally, the line loss analysis apparatus further includes: a topology module (not shown in the figure) for constructing a branch topology model between nodes in the platform area;
the first obtaining module 21 is specifically configured to obtain a topological relation between nodes in the distribution room based on the branch topology model.
Optionally, the second obtaining module 22 is specifically configured to: and acquiring the real-time electric quantity of each node in the distribution area based on a dual-mode communication technology.
Optionally, the line loss analysis apparatus further includes: intelligent circuit breakers (not shown in the figure) respectively arranged at each node in the transformer area;
the second obtaining module 22 is specifically configured to: and acquiring real-time electric quantity of each node in the transformer area based on each intelligent circuit breaker.
Optionally, the line loss analysis apparatus further includes: and an updating module (not shown in the figure) for periodically updating the error threshold based on the circuit line loss between the nodes in the distribution area.
As can be seen from the above, in the line loss analysis device applied to the power distribution network, first, the first obtaining module 21 and the second obtaining module 22 respectively obtain the topological relation between nodes in the distribution room and the real-time electric quantity of each node in the distribution room; respectively calculating real-time line loss between each parent node and each child node in the distribution room through a calculation module 23 based on the topological relation and the real-time electric quantity of each node; comparing the real-time line loss of each parent-child node with the error threshold value through a comparison module 24; if the parent-child nodes with the real-time line loss larger than the error threshold exist, determining the branches between the corresponding parent-child nodes as abnormal line loss branches through the analysis module 25; finally, the output module 26 outputs 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 a son node in the transformer area and the sum of the real-time electric quantities of all the son nodes of the corresponding father nodes, the embodiment of the application can realize the quick positioning of the line branch (namely, the abnormal line loss branch) generating the line loss in the transformer area based on the topological relation between the nodes in the transformer area and the real-time electric quantities of the nodes, and is favorable for further analyzing the reason of the line loss generated by the line branch in time.
It should be understood that the above-described integrated units/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above may be implemented by a computer program, which may be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. The computer program includes computer program code, and the computer program code may be in a source code form, an object code form, an executable file or some intermediate form. The computer readable medium may include: any entity or device capable of carrying the above-mentioned computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signal, telecommunication signal, software distribution medium, etc. It should be noted that the contents contained in the computer-readable storage medium can be increased or decreased as required by legislation and 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, for convenience and simplicity of description, the foregoing functional units and partitions are merely illustrated as examples, and in practical applications, the above functions may be distributed as needed and performed by different functional units and partitions, that is, the internal structure of the apparatus may be partitioned into different functional units or partitions, so as to perform all or part of the functions described above. Each functional unit and unit in the embodiments may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The units in the system and the specific working processes of the units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
It should be noted that, the methods and the details thereof provided by the foregoing embodiments may be combined with the apparatuses and devices provided by the embodiments, which are referred to each other and are not described again.
Those of ordinary skill in the art would 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 implementation. 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 ways. For example, the above-described apparatus/device embodiments are merely illustrative, and for example, the above-described unit or division of units is only one type of division of logical functions, and the actual implementation may be achieved by another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
The above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A line loss analysis method applied to a power distribution network is characterized by comprising the following steps:
acquiring a topological relation between nodes in a distribution room;
acquiring real-time electric quantity of each node in the transformer area;
respectively calculating real-time line loss between each parent node and each child node in the distribution room based on the topological relation and the real-time electric quantity of each node, wherein the real-time line loss between each parent node and each child node is a difference value between the real-time electric quantity of each parent node with the child node in the distribution room and the sum of the real-time electric quantities of all the child nodes of the corresponding parent node;
respectively comparing the real-time line loss of each parent-child node with the error threshold value;
if the parent-child nodes with the real-time line loss larger than the error threshold exist, determining the branch between the corresponding parent-child nodes as an abnormal line loss branch;
and outputting related node information of the abnormal line loss branch, wherein the related node information comprises position information of related nodes.
2. The line loss analysis method of claim 1, wherein the obtaining the topological relation between the nodes in the distribution area comprises:
constructing a branch topology model among nodes in the transformer area;
and acquiring the topological relation among the nodes in the transformer area based on the branch topological model.
3. The line loss analysis method according to claim 1 or 2, wherein the obtaining of the real-time electric quantity of each node in the distribution area comprises:
and acquiring the real-time electric quantity of each node in the distribution area based on a dual-mode communication technology.
4. The line loss analysis method according to claim 1 or 2, wherein each node in the transformer area is provided with an intelligent circuit breaker;
the acquiring of the real-time electric quantity of each node in the distribution area comprises:
and acquiring real-time electric quantity of each node in the transformer area based on each intelligent circuit breaker.
5. The line loss analysis method according to claim 1 or 2, further comprising:
and periodically updating the error threshold value based on the circuit line loss between the nodes in the transformer area.
6. The utility model provides a be applied to line loss analytical equipment of distribution network which characterized in that includes:
the first acquisition module is used for acquiring the topological relation among nodes in the transformer area;
the second acquisition module is used for acquiring the real-time electric quantity of each node in the transformer area;
a calculating module, configured to calculate real-time line loss between parent and child nodes in the distribution room respectively based on the topological relation and the real-time electric quantity of each node, where the real-time line loss between the parent and child nodes is a difference between a real-time electric quantity of each parent node having a child node in the distribution room and a sum of real-time electric quantities of all child nodes of the corresponding parent node;
the comparison module is used for respectively comparing the real-time line loss of each parent-child node with the magnitude relation between the error threshold values;
the analysis module is used for determining branches between corresponding parent and child nodes as abnormal line loss branches if the parent and child nodes with real-time line loss larger than the error threshold exist;
and the output module is used for outputting the related node information of the abnormal line loss branch, wherein the related node information comprises the position information of the related node.
7. The line loss analysis device according to claim 6, further comprising: the topology module is used for constructing a branch topology model among nodes in the transformer area;
the first obtaining module is specifically configured to obtain a topological relation between nodes in the distribution room based on the branch topology model.
8. The line loss analysis device according to claim 6 or 7, wherein the second obtaining module is specifically configured to:
and acquiring the real-time electric quantity of each node in the distribution area based on a dual-mode communication technology.
9. The line loss analysis device according to claim 6 or 7, further comprising: the intelligent circuit breakers are respectively arranged at each node in the transformer area;
the second obtaining module is specifically configured to:
and acquiring real-time electric quantity of each node in the transformer area based on each intelligent circuit breaker.
10. The line loss analysis device according to claim 6 or 7, further comprising: and the updating module is used for periodically updating the error threshold value based on the circuit line loss between the nodes in the transformer area.
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 true CN112688310A (en) | 2021-04-20 |
| CN112688310B 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) |
Cited By (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 |
| CN113805138A (en) * | 2021-10-18 | 2021-12-17 | 国网湖南省电力有限公司 | Intelligent electric meter error estimation method and device based on parameter directed 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 |
| CN115994136A (en) * | 2023-01-10 | 2023-04-21 | 广东电网有限责任公司 | Energy data cleaning method and system based on energy network topological relation |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140012524A1 (en) * | 2012-07-05 | 2014-01-09 | Silver Spring Networks, Inc. | Power grid topology discovery via time correlation of passive measurement events |
| US20140032144A1 (en) * | 2011-04-15 | 2014-01-30 | Siemens Aktiengesellschaft | Low-voltage distribution system and method for operating the same |
| 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 |
| US20190131784A1 (en) * | 2017-10-27 | 2019-05-02 | Operation Technology Incorporated | Model driven estimation of faulted area in electric distribution systems |
| 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 |
| US20200309827A1 (en) * | 2019-03-25 | 2020-10-01 | S&C Electric Company | Topology detection |
| 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 |
-
2020
- 2020-12-14 CN CN202011467033.9A patent/CN112688310B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140032144A1 (en) * | 2011-04-15 | 2014-01-30 | Siemens Aktiengesellschaft | Low-voltage distribution system and method for operating the same |
| US20140012524A1 (en) * | 2012-07-05 | 2014-01-09 | Silver Spring Networks, Inc. | Power grid topology discovery via time correlation of passive measurement events |
| US20190131784A1 (en) * | 2017-10-27 | 2019-05-02 | Operation Technology Incorporated | Model driven estimation of faulted area in electric distribution systems |
| 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 |
| US20200309827A1 (en) * | 2019-03-25 | 2020-10-01 | S&C Electric Company | Topology detection |
| 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 |
|---|
| 李明维;张传远;马晓昆;梁薇;: "低压配电台区网络拓扑和相别自动辨识技术研究", 《电气时代》, no. 10, pages 62 - 63 * |
| 韦肖燕;周羽生;彭琢;: "基于双亲节点矩阵拓扑识别的配电网故障判断新算法", 《中国电力教育》, no. 3, pages 560 - 562 * |
Cited By (6)
| 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 |
| CN113805138A (en) * | 2021-10-18 | 2021-12-17 | 国网湖南省电力有限公司 | Intelligent electric meter error estimation method and device based on parameter directed traversal |
| 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 |
| CN115994136A (en) * | 2023-01-10 | 2023-04-21 | 广东电网有限责任公司 | Energy data cleaning method and system based on energy network topological relation |
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112688310B (en) | 2024-01-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112688310B (en) | Line loss analysis method and device applied to power distribution network | |
| CN111579923B (en) | Power distribution network fault diagnosis system and method | |
| 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 | |
| CN111428376A (en) | CIM (common information model) -based power distribution network feeder contact mode identification method and system | |
| CN103698657A (en) | Power distribution network fault positioning fault tolerance method based on information completion and correction | |
| CN116500385B (en) | Power transmission network monitoring and checking method, device, equipment and medium | |
| CN109586281B (en) | Power distribution network reliability assessment method, device and medium based on node optimization number | |
| Soumalas et al. | A data driven approach to distribution network topology identification | |
| CN115935825A (en) | Power distribution network fault processing method and device based on digital twin model | |
| CN115842342A (en) | Topology identification method and device for distributed power distribution network | |
| CN113468745B (en) | Method and system for rapidly evaluating reliability of power distribution network based on historical faults | |
| CN113987724A (en) | Power grid risk identification method and system based on topology analysis | |
| CN113452576A (en) | Network environment monitoring method and device, storage medium and electronic device | |
| CN112949073A (en) | Fuzzy algorithm-based intelligent substation relay protection reliability assessment method | |
| CN111181246A (en) | Energy consumption analysis method and system based on intelligent circuit breaker | |
| CN108596450B (en) | Power grid risk early warning method and system | |
| CN114757496A (en) | Method and device for evaluating power supply reliability of power distribution network | |
| CN110391935B (en) | Measurement degree evaluation method and system considering information physical coupling characteristics and information disturbance | |
| Bernardes et al. | Topological processing of mutually coupled circuits for directional overcurrent protection | |
| CN109638845B (en) | Method and device for establishing switching combination scheme of power transmission line | |
| CN113471971A (en) | Power distribution station area topology network generation method and device | |
| CN111460612A (en) | Real-time simulation operation method and system for primary equipment and secondary equipment of transformer substation | |
| CN112630581B (en) | Transformer neutral point direct current monitoring method, device, equipment and storage medium | |
| CN116739348A (en) | Risk assessment method and system for safety state of power grid equipment |
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 |