CN117559447B - Power failure studying and judging data analysis method and system based on power grid model - Google Patents
Power failure studying and judging data analysis method and system based on power grid model Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention discloses a power failure studying and judging data analysis method and system based on a power grid model, which are applied to a smart power grid technology, wherein the method comprises the following steps: constructing information nodes and constructing a power grid topology; the power failure node sends a first power failure signal to a parent node of the power failure node; the power failure node receives a second power failure signal fed back by the brother node; the power failure node judges whether the power failure node is a fault node where a power failure fault occurs or not, and reports a fault signal when the power failure node is the fault node. According to the power failure studying and judging data analysis method and system based on the power grid model, through the technical scheme, on one hand, the topology updating difficulty caused by increasing or decreasing or replacing equipment in the power grid topology is effectively reduced, on the other hand, the power failure fault occurrence place can be accurately positioned when the power failure occurs, meanwhile, the information congestion in the power grid topology when the power failure occurs is reduced, and the power grid safety is improved.
Description
Technical Field
The invention relates to a smart grid technology, in particular to a power outage research and judgment data analysis method and system based on a power grid model.
Background
The power outage causes are complex, the outage signals are not associated, a plurality of devices report the outage signals within the same period of time, the accuracy is unreliable, the outage signals received by the lower-level devices are possibly due to the fact that the nodes at the upper level are faulty, and the accuracy of the outage signals at the current position cannot be perceived. In the prior art, china patent with application number 202310283398.3 discloses a layering study and judgment method and system for power failure faults of 10kV lines and below, wherein the method comprises the following steps: obtaining lines, distribution transformers and user tables from a database, and carrying out association to obtain a wide table of the unit-line-area-user relationship; acquiring line power failure events, distribution transformer power failure events and user power failure events from a database, and removing false alarm data; generating a power failure event of a box by a user power failure event, and supplementing and generating a distribution transformer power failure missing report event; generating a branch power failure event by the distribution transformer power failure event, and supplementing a main power failure missing report event; and (3) carrying out layered research and judgment on the power failure event, eliminating repeated messages, and generating accurate research and judgment messages. Under the existing conditions, huge investment is not additionally increased, the power failure event data of each level is utilized to comprehensively judge the power failure, the fault part is defined, and finally the fault is positioned to a main line, a branch line, a distribution transformer, a meter box and a user, so that accurate rush repair is realized, and the operation and maintenance quality effect is improved. In the prior art, the power grid topology is realized by taking equipment as a node, in the power grid topology, information is transmitted to a main node layer by layer in a hierarchical mode, and the equipment or the system related to the main node is used for analyzing to obtain the accurate fault position; however, when a power failure occurs, the equipment involved in the power failure needs to report power failure information in the existing power grid topology, so that information congestion occurs in upper nodes very easily, a large amount of power failure information can be abandoned in the congestion, and information loss is caused; meanwhile, the power failure information reported to the related equipment or system of the main node also needs to be processed and analyzed uniformly, and under the condition of information deficiency, the information is difficult to distinguish which information is accurate information, and which information is false-report information, so that the accurate positioning of specific power failure faults is not facilitated.
Disclosure of Invention
In order to at least overcome the defects in the prior art, the purpose of the application is to provide a power outage research and judgment data analysis method and system based on a power grid model.
In a first aspect, the present application provides a power outage research and judgment data analysis method based on a power grid model, including:
constructing information nodes for key parts of a target power grid, and hanging equipment of the key parts on the information nodes constructed on the key parts;
constructing a power grid topology according to the hierarchical relationship among key parts corresponding to the information nodes;
when the number of first outage signals received by the outage nodes in the power grid topology from the child nodes is larger than a first preset proportion of the number of the child nodes of the outage nodes, or the outage nodes are leaf nodes in the power grid topology, the outage nodes send first outage signals to father nodes of the outage nodes; the power failure node is an information node which receives a first power failure signal sent by the child node or a first power failure signal sent by the hung equipment;
the power outage node requests a power outage signal from a brother node of the same father node as the power outage node in the information node, and receives a second power outage signal fed back by the brother node; the brother nodes are child nodes corresponding to the same father node;
and the power failure node judges whether the power failure node is a fault node with power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and reports the fault signal when the power failure node is the fault node.
When the method and the device are implemented, the topological network is not built by taking the power grid equipment as a node, but information nodes are built at key positions, and equipment corresponding to the key positions is hung through the information nodes, so that the power failure information of the equipment at the key positions is summarized, and meanwhile, the rapid networking during the increase, the decrease and the replacement of the equipment at the key positions is facilitated. The power grid topology is constructed according to the hierarchical relations of different key parts, the nodes are information nodes, and the topological hierarchy and the connection relation are consistent with the power grid hierarchical relation between the key parts.
In the present application, in order to reduce congestion caused by reporting of power outage information, a mode of performing self-state judgment by an information node is adopted. The power failure node is an information node which receives a first power failure signal sent by the child node or a first power failure signal sent by the hung device, namely the information node defines itself as the power failure node when receiving the first power failure signal sent by the child node or the first power failure signal sent by the hung device, and starts a judging algorithm corresponding to the power failure node to judge whether the information node is in a power failure state or a power failure fault.
In the application, the outage node judges whether the outage node is actually in an outage state or not, and judges according to the proportion that the number of first outage signals sent by the child nodes accounts for the number of all the child nodes of the outage node, namely when the child nodes send outage signals in most mode, the outage node judges that the outage node is actually in an outage state, and the first preset proportion can be 70-90% in an example and can be specifically judged according to actual conditions by a person skilled in the art. After the power failure node judges that the power failure actually occurs, the same first power failure signal of the father node needs to be reported so as to assist the father node in judging the self situation. In this application, a special case may occur, for example, the outage node has no child node, that is, the outage node is a leaf node in the topology network, and at this time, the determination may be made according to the proportion of the number of first outage signals of the underhung devices to the number of all devices.
In this application, to every outage node, still need judge whether the trouble is at this node emergence, need request outage signal to the brother node of same father node this moment to judge whether the father node is outage, and then judge that the trouble takes place at self or take place at the superordinate node, can make the accurate judgement trouble condition of occurrence of outage node and report through this kind of mode, thereby reduce the information jam in the topology network, guarantee the communication of non-outage signal is unobstructed simultaneously. According to the technical scheme, on one hand, the topology updating difficulty caused by increasing or decreasing or replacing equipment in the power grid topology is effectively reduced, on the other hand, the power failure fault occurrence place can be accurately positioned when the power failure occurs, meanwhile, information congestion in the power grid topology when the power failure occurs is reduced, and the power grid safety is improved.
In one possible implementation of the present invention,
the power failure node judges whether the power failure node is a fault node of power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and the fault node comprises:
and if the number of the second outage signals received by the outage node is smaller than a second preset proportion of the number of the brother nodes, and the number of the first outage signals received by the outage node from the child nodes is larger than the first preset proportion of the number of the child nodes of the outage node, judging the node to be a fault node.
In one possible implementation of the present invention,
the power failure node judges whether the power failure node is a fault node with power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and the power failure node further comprises:
and if the number of the second outage signals received by the outage nodes is smaller than a second preset proportion of the number of the brother nodes, and the outage nodes are leaf nodes in the power grid topology, judging the outage nodes to be fault nodes.
In one possible implementation of the present invention,
the power failure node judges whether the power failure node is a fault node with power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and the power failure node further comprises:
and if the power failure node does not have a father node, and the number of the first power failure signals received by the power failure node from the child nodes is larger than the first preset proportion of the number of the child nodes of the power failure node, judging the power failure node to be a fault node.
In one possible implementation of the present invention,
the key parts comprise a transformer substation, a main line pole tower, a branch line pole tower, a low-voltage transformer area, a low-voltage outgoing line, a low-voltage pole, a meter box and a user side which are sequentially arranged along the hierarchical relation from top to bottom;
the information node hanging equipment at the transformer station comprises a transformer station line protection device;
the information node hanging equipment at the main line tower comprises an FTU at the main line tower;
the information node hanging equipment at the branch tower comprises an FTU at the branch tower;
the information node hanging equipment at the low-voltage transformer area comprises a drop-out fuse, a concentrator, a fusion terminal and a base;
the information node hooking equipment at the low-voltage outlet comprises a low-voltage circuit breaker;
the information node hanging equipment at the low-voltage tower pole comprises a secondary circuit breaker and a low-voltage metering device;
the means for articulating the information node at the meter box includes a final circuit breaker;
the information node hooking device at the user side comprises a user table.
In a second aspect, the present application provides a power outage research and judgment data analysis system based on a power grid model, including:
information nodes constructed at key parts of a target power grid;
the information node is configured to:
the equipment of the corresponding key part is hung;
constructing a power grid topology according to the hierarchical relationship among the corresponding key parts;
the method comprises the steps that when a first power failure signal sent by a child node or a first power failure signal sent by a hung device is received, the child node becomes a power failure node;
the blackout node is configured to:
when the number of the received first outage signals from the child nodes is larger than a first preset proportion of the number of the child nodes of the outage node, or the outage node is a leaf node in the power grid topology, sending a first outage signal to a father node of the outage node;
requesting a power outage signal from a brother node of the same father node as the power outage node in the information node, and receiving a second power outage signal fed back by the brother node; the brother nodes are child nodes corresponding to the same father node;
judging whether the power failure signal is a fault node of power failure fault or not according to the first power failure signal and the second power failure signal received by the power failure signal, and reporting the fault signal when the power failure signal is the fault node.
In one possible implementation of the present invention,
the blackout node is further configured to:
and if the number of the second outage signals received by the outage node is smaller than a second preset proportion of the number of the brother nodes, and the number of the first outage signals received by the outage node from the child nodes is larger than the first preset proportion of the number of the child nodes of the outage node, judging the node to be a fault node.
In one possible implementation of the present invention,
the blackout node is further configured to:
and if the number of the second outage signals received by the outage nodes is smaller than a second preset proportion of the number of the brother nodes, and the outage nodes are leaf nodes in the power grid topology, judging the outage nodes to be fault nodes.
In one possible implementation of the present invention,
the blackout node is further configured to:
and if the power failure node does not have a father node, and the number of the first power failure signals received by the power failure node from the child nodes is larger than the first preset proportion of the number of the child nodes of the power failure node, judging the power failure node to be a fault node.
In one possible implementation of the present invention,
the key parts comprise a transformer substation, a main line pole tower, a branch line pole tower, a low-voltage transformer area, a low-voltage outgoing line, a low-voltage pole, a meter box and a user side which are sequentially arranged along the hierarchical relation from top to bottom;
the information node hanging equipment at the transformer station comprises a transformer station line protection device;
the information node hanging equipment at the main line tower comprises an FTU at the main line tower;
the information node hanging equipment at the branch tower comprises an FTU at the branch tower;
the information node hanging equipment at the low-voltage transformer area comprises a drop-out fuse, a concentrator, a fusion terminal and a base;
the information node hooking equipment at the low-voltage outlet comprises a low-voltage circuit breaker;
the information node hanging equipment at the low-voltage tower pole comprises a secondary circuit breaker and a low-voltage metering device;
the means for articulating the information node at the meter box includes a final circuit breaker;
the information node hooking device at the user side comprises a user table.
Compared with the prior art, the invention has the following advantages and beneficial effects:
according to the power failure studying and judging data analysis method and system based on the power grid model, through the technical scheme, on one hand, the topology updating difficulty caused by increasing or decreasing or replacing equipment in the power grid topology is effectively reduced, on the other hand, the power failure fault occurrence place can be accurately positioned when the power failure occurs, meanwhile, the information congestion in the power grid topology when the power failure occurs is reduced, and the power grid safety is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention. In the drawings:
FIG. 1 is a schematic diagram of steps of a method according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the present application are only for the purpose of illustration and description, and are not intended to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this application, illustrates operations implemented according to some embodiments of the present application. It should be understood that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to the flow diagrams and one or more operations may be removed from the flow diagrams as directed by those skilled in the art.
In addition, the described embodiments are only some, but not all, of the embodiments of the present application. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
Referring to fig. 1 in combination, a flow chart of a power outage research and judgment data analysis method based on a power grid model according to an embodiment of the present invention is provided, and further, the power outage research and judgment data analysis method based on a power grid model specifically includes the following descriptions of step S1 to step S5.
S1: constructing information nodes for key parts of a target power grid, and hanging equipment of the key parts on the information nodes constructed on the key parts;
s2: constructing a power grid topology according to the hierarchical relationship among key parts corresponding to the information nodes;
s3: when the number of first outage signals received by the outage nodes in the power grid topology from the child nodes is larger than a first preset proportion of the number of the child nodes of the outage nodes, or the outage nodes are leaf nodes in the power grid topology, the outage nodes send first outage signals to father nodes of the outage nodes; the power failure node is an information node which receives a first power failure signal sent by the child node or a first power failure signal sent by the hung equipment;
s4: the power outage node requests a power outage signal from a brother node of the same father node as the power outage node in the information node, and receives a second power outage signal fed back by the brother node; the brother nodes are child nodes corresponding to the same father node;
s5: and the power failure node judges whether the power failure node is a fault node with power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and reports the fault signal when the power failure node is the fault node.
When the embodiment of the application is implemented, the power grid equipment is not used as a node to construct a topology network, but information nodes are constructed at key positions, and equipment corresponding to the key positions is hung through the information nodes, so that the power failure information of the equipment at the key positions is summarized, meanwhile, the quick networking is convenient when the equipment at the key positions is increased, decreased and replaced, the newly added equipment only needs to be hung on the node, and the whole power grid topology is not influenced. The power grid topology is constructed according to the hierarchical relations of different key parts, the nodes are information nodes, and the topological hierarchy and the connection relation are consistent with the power grid hierarchical relation between the key parts.
In the embodiment of the application, in order to reduce congestion caused by power failure information reporting, a mode of judging the state of the information node is adopted. The power failure node is an information node which receives a first power failure signal sent by the child node or a first power failure signal sent by the hung device, namely the information node defines itself as the power failure node when receiving the first power failure signal sent by the child node or the first power failure signal sent by the hung device, and starts a judging algorithm corresponding to the power failure node to judge whether the information node is in a power failure state or a power failure fault.
In this embodiment of the present application, the outage node determines whether itself is actually in the outage state, and determines according to the proportion of the number of first outage signals sent by its child nodes to the number of all child nodes of the outage node, that is, when most of child nodes send outage signals, the outage node will determine that itself is actually in outage, and in an example, the first preset proportion may be 70-90%, which may be specifically determined by those skilled in the art according to actual situations. After the power failure node judges that the power failure actually occurs, the same first power failure signal of the father node needs to be reported so as to assist the father node in judging the self situation. In this embodiment of the present application, a specific example may occur, for example, the outage node has no child node, that is, the outage node is a leaf node in the topology network, and at this time, the determination may be made according to the proportion of the number of first outage signals of the underhung devices to the number of all devices.
In this embodiment of the present application, for each outage node, it is further required to determine whether a fault occurs in the present node, and at this time, it is required to request an outage signal to a sibling node of the same parent node, so as to determine whether the parent node has an outage, and further determine whether the fault occurs in itself or in a superordinate node. According to the technical scheme, on one hand, the topology updating difficulty caused by increasing or decreasing or replacing equipment in the power grid topology is effectively reduced, on the other hand, the power failure fault occurrence place can be accurately positioned when power failure occurs, meanwhile, information congestion in the power grid topology when power failure occurs is reduced, and the power grid safety is improved.
In one possible implementation of the present invention,
the power failure node judges whether the power failure node is a fault node of power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and the fault node comprises:
and if the number of the second outage signals received by the outage node is smaller than a second preset proportion of the number of the brother nodes, and the number of the first outage signals received by the outage node from the child nodes is larger than the first preset proportion of the number of the child nodes of the outage node, judging the node to be a fault node.
In one possible implementation of the present invention,
the power failure node judges whether the power failure node is a fault node with power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and the power failure node further comprises:
and if the number of the second outage signals received by the outage nodes is smaller than a second preset proportion of the number of the brother nodes, and the outage nodes are leaf nodes in the power grid topology, judging the outage nodes to be fault nodes.
In one possible implementation of the present invention,
the power failure node judges whether the power failure node is a fault node with power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and the power failure node further comprises:
and if the power failure node does not have a father node, and the number of the first power failure signals received by the power failure node from the child nodes is larger than the first preset proportion of the number of the child nodes of the power failure node, judging the power failure node to be a fault node.
When the embodiment of the application is implemented, three schemes for judging the power failure are provided, wherein the schemes respectively correspond to a root node, a leaf node and other nodes in the topology network. For other nodes, if the number of the second outage signals is smaller than the second preset proportion of the number of the brother nodes, the upper node of the outage node is not in outage, the second preset proportion can be preferably 10-20%, and if the number of the first outage signals received from the child nodes is larger than the first preset proportion of the number of the child nodes of the outage node, the outage node is in outage, and at the moment, the outage fault is judged to occur in the current node. The root node is not provided with a father node, and if the power failure node is judged to have power failure, the power failure fault is indicated to occur in the current node. For the leaf node, if the number of the second outage signals received by the outage node is smaller than a second preset proportion of the number of the brother nodes, the upper node is indicated to have no fault, namely the fault occurs in the current node.
In one possible implementation of the present invention,
the key parts comprise a transformer substation, a main line pole tower, a branch line pole tower, a low-voltage transformer area, a low-voltage outgoing line, a low-voltage pole, a meter box and a user side which are sequentially arranged along the hierarchical relation from top to bottom;
the information node hanging equipment at the transformer station comprises a transformer station line protection device;
the information node hanging equipment at the main line tower comprises an FTU at the main line tower;
the information node hanging equipment at the branch tower comprises an FTU at the branch tower;
the information node hanging equipment at the low-voltage transformer area comprises a drop-out fuse, a concentrator, a fusion terminal and a base;
the information node hooking equipment at the low-voltage outlet comprises a low-voltage circuit breaker;
the information node hanging equipment at the low-voltage tower pole comprises a secondary circuit breaker and a low-voltage metering device;
the means for articulating the information node at the meter box includes a final circuit breaker;
the information node hooking device at the user side comprises a user table.
When the embodiment of the application is implemented, a technical scheme of how to implement node deployment of key parts is provided, in the hierarchical relationship of the key parts, the node deployment is implemented along the topological relationship of the transformer substation, the main pole tower, the branch pole tower, the low-voltage transformer area, the low-voltage outgoing line, the low-voltage pole, the meter box and the user side from top to bottom, namely, the transformer substation is a root node, the user side is a leaf node, and the tree network structure of the power grid topology can be implemented through other intermediate nodes.
Based on the same inventive concept, a power outage research and judgment data analysis system based on a power grid model is also provided, comprising:
information nodes constructed at key parts of a target power grid;
the information node is configured to:
the equipment of the corresponding key part is hung;
constructing a power grid topology according to the hierarchical relationship among the corresponding key parts;
the method comprises the steps that when a first power failure signal sent by a child node or a first power failure signal sent by a hung device is received, the child node becomes a power failure node;
the blackout node is configured to:
when the number of the received first outage signals from the child nodes is larger than a first preset proportion of the number of the child nodes of the outage node, or the outage node is a leaf node in the power grid topology, sending a first outage signal to a father node of the outage node;
requesting a power outage signal from a brother node of the same father node as the power outage node in the information node, and receiving a second power outage signal fed back by the brother node; the brother nodes are child nodes corresponding to the same father node;
judging whether the power failure signal is a fault node of power failure fault or not according to the first power failure signal and the second power failure signal received by the power failure signal, and reporting the fault signal when the power failure signal is the fault node.
In one possible implementation of the present invention,
the blackout node is further configured to:
and if the number of the second outage signals received by the outage node is smaller than a second preset proportion of the number of the brother nodes, and the number of the first outage signals received by the outage node from the child nodes is larger than the first preset proportion of the number of the child nodes of the outage node, judging the node to be a fault node.
In one possible implementation of the present invention,
the blackout node is further configured to:
and if the number of the second outage signals received by the outage nodes is smaller than a second preset proportion of the number of the brother nodes, and the outage nodes are leaf nodes in the power grid topology, judging the outage nodes to be fault nodes.
In one possible implementation of the present invention,
the blackout node is further configured to:
and if the power failure node does not have a father node, and the number of the first power failure signals received by the power failure node from the child nodes is larger than the first preset proportion of the number of the child nodes of the power failure node, judging the power failure node to be a fault node.
In one possible implementation of the present invention,
the key parts comprise a transformer substation, a main line pole tower, a branch line pole tower, a low-voltage transformer area, a low-voltage outgoing line, a low-voltage pole, a meter box and a user side which are sequentially arranged along the hierarchical relation from top to bottom;
the information node hanging equipment at the transformer station comprises a transformer station line protection device;
the information node hanging equipment at the main line tower comprises an FTU at the main line tower;
the information node hanging equipment at the branch tower comprises an FTU at the branch tower;
the information node hanging equipment at the low-voltage transformer area comprises a drop-out fuse, a concentrator, a fusion terminal and a base;
the information node hooking equipment at the low-voltage outlet comprises a low-voltage circuit breaker;
the information node hanging equipment at the low-voltage tower pole comprises a secondary circuit breaker and a low-voltage metering device;
the means for articulating the information node at the meter box includes a final circuit breaker;
the information node hooking device at the user side comprises a user table.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. 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 invention.
In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
The elements described as separate components may or may not be physically separate, and it will be apparent to those skilled in the art that elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the elements and steps of the examples have been generally described functionally in the foregoing description so as to clearly illustrate the interchangeability of hardware and software. 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 invention.
In addition, each functional unit in the embodiments of the present invention 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. The integrated units may be implemented in hardware or in software functional units.
The integrated 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 technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a grid device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing description of the embodiments has been provided for the purpose of illustrating the general principles of the invention, and is not meant to limit the scope of the invention, but to limit the invention to the particular embodiments, and any modifications, equivalents, improvements, etc. that fall within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (10)
1. The power failure research and judgment data analysis method based on the power grid model is characterized by comprising the following steps of:
constructing information nodes for key parts of a target power grid, and hanging equipment of the key parts on the information nodes constructed on the key parts;
constructing a power grid topology according to the hierarchical relationship among key parts corresponding to the information nodes;
the power failure node is an information node which receives a first power failure signal sent by the child node or a first power failure signal sent by the hung equipment; when the number of first outage signals received by the outage nodes in the power grid topology from the child nodes is larger than a first preset proportion of the number of the child nodes of the outage nodes, or the outage nodes are leaf nodes in the power grid topology, the outage nodes send first outage signals to father nodes of the outage nodes;
the power outage node requests a power outage signal from a brother node of the same father node as the power outage node in the information node, and receives a second power outage signal fed back by the brother node; the brother nodes are child nodes corresponding to the same father node;
and the power failure node judges whether the power failure node is a fault node with power failure fault according to the first power failure signal and the second power failure signal received by the power failure node, and reports the fault signal when the power failure node is the fault node.
2. The method for analyzing outage research judgment data based on a power grid model according to claim 1, wherein the step of judging whether the outage node is a fault node in which an outage fault occurs according to the first outage signal and the second outage signal received by the outage node comprises the steps of:
and if the number of the second outage signals received by the outage node is smaller than a second preset proportion of the number of the brother nodes, and the number of the first outage signals received by the outage node from the child nodes is larger than the first preset proportion of the number of the child nodes of the outage node, judging the node to be a fault node.
3. The method for analyzing outage research judgment data based on a power grid model according to claim 1, wherein the step of judging whether the outage node is a fault node in which an outage fault occurs according to the first outage signal and the second outage signal received by the outage node, further comprises:
and if the number of the second outage signals received by the outage nodes is smaller than a second preset proportion of the number of the brother nodes, and the outage nodes are leaf nodes in the power grid topology, judging the outage nodes to be fault nodes.
4. The method for analyzing outage research judgment data based on a power grid model according to claim 1, wherein the step of judging whether the outage node is a fault node in which an outage fault occurs according to the first outage signal and the second outage signal received by the outage node, further comprises:
and if the power failure node does not have a father node, and the number of the first power failure signals received by the power failure node from the child nodes is larger than the first preset proportion of the number of the child nodes of the power failure node, judging the power failure node to be a fault node.
5. The power outage research judgment data analysis method based on the power grid model according to claim 1, wherein the key parts comprise a transformer substation, a main pole tower, a branch pole tower, a low-voltage station area, a low-voltage outlet wire, a low-voltage pole, a meter box and a user side which are sequentially in the hierarchical relation from top to bottom;
the information node hanging equipment at the transformer station comprises a transformer station line protection device;
the information node hanging equipment at the main line tower comprises an FTU at the main line tower;
the information node hanging equipment at the branch tower comprises an FTU at the branch tower;
the information node hanging equipment at the low-voltage transformer area comprises a drop-out fuse, a concentrator, a fusion terminal and a base;
the information node hooking equipment at the low-voltage outlet comprises a low-voltage circuit breaker;
the information node hanging equipment at the low-voltage tower pole comprises a secondary circuit breaker and a low-voltage metering device;
the means for articulating the information node at the meter box includes a final circuit breaker;
the information node hooking device at the user side comprises a user table.
6. The utility model provides a power failure research judgement data analysis system based on electric wire netting model which characterized in that includes:
information nodes constructed at key parts of a target power grid;
the information node is configured to:
the equipment of the corresponding key part is hung;
constructing a power grid topology according to the hierarchical relationship among the corresponding key parts;
the method comprises the steps that when a first power failure signal sent by a child node or a first power failure signal sent by a hung device is received, the child node becomes a power failure node;
the blackout node is configured to:
when the number of the received first outage signals from the child nodes is larger than a first preset proportion of the number of the child nodes of the outage node, or the outage node is a leaf node in the power grid topology, sending a first outage signal to a father node of the outage node;
requesting a power outage signal from a brother node of the same father node as the power outage node in the information node, and receiving a second power outage signal fed back by the brother node; the brother nodes are child nodes corresponding to the same father node;
judging whether the power failure signal is a fault node of power failure fault or not according to the first power failure signal and the second power failure signal received by the power failure signal, and reporting the fault signal when the power failure signal is the fault node.
7. The grid model-based outage research and decision data analysis system of claim 6, wherein the outage node is further configured to:
and if the number of the second outage signals received by the outage node is smaller than a second preset proportion of the number of the brother nodes, and the number of the first outage signals received by the outage node from the child nodes is larger than the first preset proportion of the number of the child nodes of the outage node, judging the node to be a fault node.
8. The grid model-based outage research and decision data analysis system of claim 6, wherein the outage node is further configured to:
and if the number of the second outage signals received by the outage nodes is smaller than a second preset proportion of the number of the brother nodes, and the outage nodes are leaf nodes in the power grid topology, judging the outage nodes to be fault nodes.
9. The grid model-based outage research and decision data analysis system of claim 6, wherein the outage node is further configured to:
and if the power failure node does not have a father node, and the number of the first power failure signals received by the power failure node from the child nodes is larger than the first preset proportion of the number of the child nodes of the power failure node, judging the power failure node to be a fault node.
10. The power outage research and judgment data analysis system based on the power grid model according to claim 6, wherein the key parts comprise a transformer substation, a main pole tower, a branch pole tower, a low-voltage station area, a low-voltage outlet wire, a low-voltage pole, a meter box and a user side which are sequentially in the hierarchical relation from top to bottom;
the information node hanging equipment at the transformer station comprises a transformer station line protection device;
the information node hanging equipment at the main line tower comprises an FTU at the main line tower;
the information node hanging equipment at the branch tower comprises an FTU at the branch tower;
the information node hanging equipment at the low-voltage transformer area comprises a drop-out fuse, a concentrator, a fusion terminal and a base;
the information node hooking equipment at the low-voltage outlet comprises a low-voltage circuit breaker;
the information node hanging equipment at the low-voltage tower pole comprises a secondary circuit breaker and a low-voltage metering device;
the means for articulating the information node at the meter box includes a final circuit breaker;
the information node hooking device at the user side comprises a user table.
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Citations (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104239997A (en) * | 2013-06-20 | 2014-12-24 | 国家电网公司 | Method for analyzing power failure range of power distribution network |
CN104777401A (en) * | 2015-03-18 | 2015-07-15 | 航天科工深圳(集团)有限公司 | Power grid fault positioning method |
CN106814267A (en) * | 2016-12-07 | 2017-06-09 | 珠海许继电气有限公司 | The implementation method that a kind of power distribution station failure based on topology is studied and judged |
CN108363630A (en) * | 2018-01-23 | 2018-08-03 | 浙江中新电力发展集团有限公司萧山科技分公司 | The breakdown judge system of intelligent grid |
CN108899905A (en) * | 2018-09-03 | 2018-11-27 | 云南电网有限责任公司电力科学研究院 | The discrimination method and device of key node in a kind of complex electric network |
CN110336590A (en) * | 2019-07-23 | 2019-10-15 | 广东电网有限责任公司 | A kind of Fault Locating Method of power telecom network, device and equipment |
CN110596531A (en) * | 2019-09-06 | 2019-12-20 | 国网山东省电力公司寿光市供电公司 | Power distribution network fault dynamic planning and positioning method |
CN110888021A (en) * | 2019-12-09 | 2020-03-17 | 北京中电普华信息技术有限公司 | Power distribution network fault judgment method and device |
CN111157842A (en) * | 2019-12-31 | 2020-05-15 | 浙江华云信息科技有限公司 | Power distribution line distribution transformer power failure fault studying and judging method based on power grid topology |
CN212277989U (en) * | 2020-07-06 | 2021-01-01 | 成都汉度科技有限公司 | Low-voltage transformer area fault reporting device |
CN113011999A (en) * | 2021-04-20 | 2021-06-22 | 陕西省地方电力(集团)有限公司宝鸡供电分公司 | Multi-tree model-based rapid implementation method for power distribution automation power failure research and judgment |
CN113189451A (en) * | 2021-05-28 | 2021-07-30 | 云南电网有限责任公司昆明供电局 | Power distribution network fault positioning studying and judging method, system, computer equipment and storage medium |
CN113283041A (en) * | 2021-05-21 | 2021-08-20 | 石家庄科林电气股份有限公司 | Power failure area rapid studying and judging method based on multi-source information fusion perception algorithm |
CN113608072A (en) * | 2021-10-06 | 2021-11-05 | 深圳市景星天成科技有限公司 | Electric power self-healing rapid fault positioning method based on non-sound condition |
CN114140266A (en) * | 2021-12-01 | 2022-03-04 | 安徽蓝色未来数字科技有限公司 | Intelligent low-voltage power grid fault studying and judging algorithm |
CN114678859A (en) * | 2020-12-09 | 2022-06-28 | 南京泓瑞科信息科技有限公司 | Distribution network fault studying and judging method and device |
CN114915546A (en) * | 2022-06-20 | 2022-08-16 | 广东电网有限责任公司 | Method, device, equipment and medium for positioning power failure user |
CN115980514A (en) * | 2023-02-20 | 2023-04-18 | 国网湖北省电力有限公司武汉供电公司 | Complex power distribution network fault positioning method based on multi-terminal traveling wave frequency matrix |
CN116298684A (en) * | 2023-03-09 | 2023-06-23 | 国网安徽省电力有限公司 | Fault studying, judging and positioning system for power distribution network |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20230239206A1 (en) * | 2022-01-24 | 2023-07-27 | Rakuten Mobile, Inc. | Topology Alarm Correlation |
-
2024
- 2024-01-10 CN CN202410034521.2A patent/CN117559447B/en active Active
Patent Citations (19)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104239997A (en) * | 2013-06-20 | 2014-12-24 | 国家电网公司 | Method for analyzing power failure range of power distribution network |
CN104777401A (en) * | 2015-03-18 | 2015-07-15 | 航天科工深圳(集团)有限公司 | Power grid fault positioning method |
CN106814267A (en) * | 2016-12-07 | 2017-06-09 | 珠海许继电气有限公司 | The implementation method that a kind of power distribution station failure based on topology is studied and judged |
CN108363630A (en) * | 2018-01-23 | 2018-08-03 | 浙江中新电力发展集团有限公司萧山科技分公司 | The breakdown judge system of intelligent grid |
CN108899905A (en) * | 2018-09-03 | 2018-11-27 | 云南电网有限责任公司电力科学研究院 | The discrimination method and device of key node in a kind of complex electric network |
CN110336590A (en) * | 2019-07-23 | 2019-10-15 | 广东电网有限责任公司 | A kind of Fault Locating Method of power telecom network, device and equipment |
CN110596531A (en) * | 2019-09-06 | 2019-12-20 | 国网山东省电力公司寿光市供电公司 | Power distribution network fault dynamic planning and positioning method |
CN110888021A (en) * | 2019-12-09 | 2020-03-17 | 北京中电普华信息技术有限公司 | Power distribution network fault judgment method and device |
CN111157842A (en) * | 2019-12-31 | 2020-05-15 | 浙江华云信息科技有限公司 | Power distribution line distribution transformer power failure fault studying and judging method based on power grid topology |
CN212277989U (en) * | 2020-07-06 | 2021-01-01 | 成都汉度科技有限公司 | Low-voltage transformer area fault reporting device |
CN114678859A (en) * | 2020-12-09 | 2022-06-28 | 南京泓瑞科信息科技有限公司 | Distribution network fault studying and judging method and device |
CN113011999A (en) * | 2021-04-20 | 2021-06-22 | 陕西省地方电力(集团)有限公司宝鸡供电分公司 | Multi-tree model-based rapid implementation method for power distribution automation power failure research and judgment |
CN113283041A (en) * | 2021-05-21 | 2021-08-20 | 石家庄科林电气股份有限公司 | Power failure area rapid studying and judging method based on multi-source information fusion perception algorithm |
CN113189451A (en) * | 2021-05-28 | 2021-07-30 | 云南电网有限责任公司昆明供电局 | Power distribution network fault positioning studying and judging method, system, computer equipment and storage medium |
CN113608072A (en) * | 2021-10-06 | 2021-11-05 | 深圳市景星天成科技有限公司 | Electric power self-healing rapid fault positioning method based on non-sound condition |
CN114140266A (en) * | 2021-12-01 | 2022-03-04 | 安徽蓝色未来数字科技有限公司 | Intelligent low-voltage power grid fault studying and judging algorithm |
CN114915546A (en) * | 2022-06-20 | 2022-08-16 | 广东电网有限责任公司 | Method, device, equipment and medium for positioning power failure user |
CN115980514A (en) * | 2023-02-20 | 2023-04-18 | 国网湖北省电力有限公司武汉供电公司 | Complex power distribution network fault positioning method based on multi-terminal traveling wave frequency matrix |
CN116298684A (en) * | 2023-03-09 | 2023-06-23 | 国网安徽省电力有限公司 | Fault studying, judging and positioning system for power distribution network |
Non-Patent Citations (3)
Title |
---|
A fault diagnosis method for marine hydraulic steering gear based on Bayesian networks;Lanfang Chu等;《2023 7th International Conference on Transportation Information and Safety (ICTIS)》;20230915;1062-1067页 * |
基于网络树状图的低压配电网故障研判仿真分析;魏然等;《电力系统保护与控制》;20210701;第49卷(第13期);167-172页 * |
基于随机森林算法的配电网停电研判方案设计;余剑锋等;《微型电脑应用》;20221231;第38卷(第12期);76-79页 * |
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