CN113824109B

CN113824109B - Regional topology network power consumption data consistency accounting method

Info

Publication number: CN113824109B
Application number: CN202110842869.0A
Authority: CN
Inventors: 高伟
Original assignee: State Grid Shandong Electric Power Co Lanling County Power Supply Co
Current assignee: State Grid Shandong Electric Power Co Lanling County Power Supply Co
Priority date: 2020-10-23
Filing date: 2020-10-23
Publication date: 2023-08-18
Anticipated expiration: 2040-10-23
Also published as: CN112332410B; CN113824109A; CN112332410A

Abstract

The application provides a regional topology network electricity data consistency accounting method, which is characterized by comprising the following steps: step 1: acquiring electric quantity meter reading information reported by a total root node, an intermediate node and a terminal node in a power supply network topology; step 2: judging the consistency of the subordinate data of each node, if the subordinate data is normal, jumping to the step 4, and if the subordinate data is abnormal, jumping to the step 3; step 3: judging whether the child node is abnormal or not according to the electricity utilization priori characteristics of the child node of the abnormal root node, and outputting abnormal node pair information; step 4: and outputting a normal prompt, and ending the round of consistency accounting. According to the application, through intelligent meter reading and consistency judgment of the slave data of the topological network nodes, the power utilization abnormality is intelligently detected, and the abnormal terminal is judged based on the power utilization priori characteristics of the terminal nodes, so that the intelligent, timely and refined detection of the power utilization abnormality is realized, and the safety and reliability of the power supply service are greatly improved.

Description

Regional topology network power consumption data consistency accounting method

Technical Field

The application belongs to the technical field of power systems, and particularly relates to a regional topology network power consumption data consistency accounting method.

Background

The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.

Electric energy is used as a basic energy source of current folk life and permeates to aspects of social life, and as long as people live places, the electric energy is required to be applied, so that scientific management of electricity consumption is an important work about folk life.

Obviously, the electricity consumption at least comprises a safety problem and a supply and demand problem, and the electricity service is qualified only under the condition that the supply meets the demand on the premise of safety. Therefore, it is necessary to detect the consistency of electricity consumption among all the nodes at the upstream and downstream in the whole power grid topology, and whether the electric leakage problem exists can be found on one hand through consistency detection, so that potential safety hazards are timely eliminated; on the other hand, whether electricity stealing behavior exists or not can be found, so that electricity utilization statistics accuracy is improved, and powerful data reference is provided for sufficient supply of electric energy.

However, in the existing application, the discovery of the leakage problem is more completed through road patrol and reporting, so that the problems of high maintenance cost, untimely solution of potential safety hazards and the like are caused; for electricity stealing behavior, more is judged by detecting the extreme condition of the reading of the ammeter, namely, the meter reading of a certain user does not walk for a long time, the abnormality is considered, obviously, the scientificity of the method is insufficient, so that the problem of low problem discovery rate exists, the electricity stealing behavior is difficult to stop, and finally, the civil problem of power failure of a slice area caused by inaccurate electricity demand evaluation is also easy to cause.

Therefore, the intelligent regional topology network electricity data consistency accounting method is provided, the timeliness and the accuracy of problem detection are improved, and the operation efficiency is improved, so that the problem to be solved in the prior art is solved.

Disclosure of Invention

In order to solve the problems, the application provides a regional topology network electricity consumption data consistency accounting method, which is used for intelligently detecting electricity consumption abnormality through intelligent meter reading and topology network node subordinate data consistency judgment, judging an abnormal terminal based on the electricity consumption priori characteristics of terminal nodes, realizing intelligent, timely and refined detection of electricity consumption abnormality behaviors, and greatly improving the safety and reliability of power supply service.

The application provides a regional topology network electricity consumption data consistency accounting method which is characterized by comprising the following steps:

step 1: acquiring electric quantity meter reading information reported by a total root node, an intermediate node and a terminal node in a power supply network topology;

step 2: judging the consistency of the subordinate data of each node, if the subordinate data is normal, jumping to the step 4, and if the subordinate data is abnormal, jumping to the step 3;

step 3: judging whether the child node is abnormal or not according to the electricity utilization priori characteristics of the child node of the abnormal root node, and outputting abnormal node pair information;

step 4: outputting a normal prompt and ending the round of consistency accounting;

in the step 2, the method for judging the consistency of the subordinate data of each node comprises the following steps:

step 2.1, taking a power supply as a total root node of a tree, and storing readings of all nodes by adopting a multi-branch tree structure according to a power supply topology, wherein each node comprises the total root node, an intermediate node and a terminal node, and the intermediate node connected with the terminal node is also called as an end node; the next level node directly connected with the same node belongs to child nodes of the node; terminal nodes directly connected with the terminal nodes belong to child nodes of the terminal nodes; nodes with child nodes all belong to the root node;

step 2.2, any root node which does not complete consistency accounting in the multi-way tree is obtained;

step 2.3, acquiring position information and meter reading information of a root node and child nodes thereof, calculating the distance between each child node and the root node one by one, converting to obtain the electric energy loss of the child node based on the relation between the electric energy transmission loss and the distance, adding the meter reading data of each child node with the respective electric energy loss value to obtain corrected meter reading values of each child node, accumulating the corrected meter reading values of each child node to obtain total meter reading values of each child node under the root node, and finally judging whether the error between the meter reading values of the root node and the total meter reading values of the child nodes is within a preset threshold value 1, if so, considering that the electric energy application between the root node and the child nodes is normal, and if not, considering that the electric energy use between the node and the child nodes is abnormal;

and 2.4, judging whether a root node which does not complete consistency accounting exists in the multi-way tree, if so, jumping to the step 2.2, and if not, ending the consistency accounting.

In the step 3, the method for judging whether the child node is abnormal is as follows:

step 3.1, acquiring any root node which does not complete the determination of whether the child node of any abnormal root node is abnormal;

step 3.2, if the root node is an end node, obtaining any child node which does not complete the abnormality judgment yet under the root node, and jumping to the step 3.3; if the root node is not the end node, identifying the root node and the child nodes thereof as a class A abnormal node pair, and jumping to the step 3.1;

step 3.3, obtaining characteristic parameters of the historical electricity utilization record data of the child node and characteristic parameters of the abnormality;

step 3.4, comparing the characteristic parameters of the historical electricity consumption record data with the characteristic parameters of the abnormality, if not, marking the root node and the child node pair as a class A abnormal node pair, otherwise marking the root node and the child node pair as a class B abnormal node pair; the class a is more likely to represent an anomaly than the class B;

step 3.5, judging whether the child node under the root node obtained in the step 3.2 is judged to be finished, if so, jumping to the step 3.6; if not, jumping to the step 3.2;

step 3.6, judging whether the root node in the step 3.1 is judged to be finished, if yes, jumping to the step 3.7; if not, jumping to the step 3.1;

and 3.7, finishing judgment, and outputting abnormal node pair information.

Preferably, in the step 1, the control method for obtaining the electric quantity meter reading information reported by the total root node, the intermediate node and the terminal node may adopt any one or two of the two modes of event triggering and periodic reporting.

Preferably, when the event triggering is based on the need of reading the table, each node receives a table reading request of an upper platform, and then each node reads the table and reports the result; and periodically reporting, namely periodically reporting the table reading result by each node according to the configuration.

Preferably, in the step 2.3, for the case that the root node is the end node, the transmission loss between the root node and the child node thereof can be corrected by adopting an empirical value, so that the transmission loss between the end node and each terminal node directly connected with the root node does not need to be checked one by one, thereby improving the operation efficiency while ensuring the transportation precision.

Preferably, in the step 3, the node pair information of the output exception includes pairing information of a root node and a child node.

Preferably, in the step 3.3, the characteristic parameter is used for characterizing an electric quantity usage characteristic corresponding to the node, and the characteristic parameter is any one or a combination of several of a total amount of monthly electricity consumption, a standard deviation of the monthly electricity consumption, and a maximum deviation value of the monthly electricity consumption on a single day.

Preferably, the method is based on a verification system consisting of a meter reading control module, a consistency detection module, an abnormal node pair detection module and a detection result output module, and the specific functions of the modules are as follows:

the meter reading control module: the module is responsible for controlling each node to report the reading of the ammeter and sending the data to the consistency detection module;

and the consistency detection module is used for: the module is responsible for detecting the consistency of the electricity consumption of the nodes, outputting a detection result output module and an abnormal node pair detection module of the node electricity consumption consistency result, wherein the electricity consumption consistency result comprises abnormal root nodes and child node information thereof;

abnormal node pair detection module: the module is responsible for detecting abnormal node pairs, grading abnormal grades, and outputting detection results to the detection result output module;

the detection result output module is used for: the module gathers the results input by the consistency detection module and the results input by the abnormal node pair detection module, and then outputs overall abnormal node pair information.

Compared with the prior art, the application has the beneficial effects that:

according to the application, the consistency of the slave data of the topological network node is judged through intelligent meter reading, the electricity utilization abnormality is intelligently detected, the abnormal terminal is judged based on the electricity utilization priori characteristics of the terminal node, the intelligent, timely and refined detection of the electricity utilization abnormality behavior is realized, and the safety and reliability of the power supply service are greatly improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application.

FIG. 1 is a schematic flow diagram of a method for accounting for consistency of power consumption data of a regional topology network;

FIG. 2 is a system schematic diagram of a regional power usage uniformity accounting system;

FIG. 3 is a schematic topology of a regional power usage uniformity accounting system.

The specific embodiment is as follows:

the application will be further described with reference to the drawings and examples.

It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.

In the present disclosure, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", and the like indicate an azimuth or a positional relationship based on the azimuth or the positional relationship shown in the drawings, are merely relational terms determined for convenience in describing structural relationships of the various components or elements of the present disclosure, and do not denote any one of the components or elements of the present disclosure, and are not to be construed as limiting the present disclosure.

As shown in fig. 1 and 2, the regional power consumption consistency accounting system provided by the present application includes: the system comprises a meter reading control module, a consistency detection module, an abnormal node pair detection module and a detection result output module.

and the consistency detection module is used for: the module is responsible for detecting the consistency of the electricity consumption of the nodes, outputting a detection result output module for the consistency result of the electricity consumption of the nodes, and detecting the abnormal node pair by the detection module, wherein the consistency result of the electricity consumption of the nodes comprises abnormal root node information and child node information thereof;

The meter reading control module, the consistency detection module, the abnormal node pair detection module and the detection result output module are mutually matched to carry out regional power utilization consistency accounting, and the method comprises the following steps of:

step 1: the meter reading control module controls the total root node, the intermediate node and the terminal node in the power supply network topology to report the electric quantity meter reading information;

step 2: the consistency detection module judges the consistency of the subordinate data of each node, if the subordinate data is normal, the step 4 is skipped, and if the subordinate data is abnormal, the step 3 is skipped;

step 4: and outputting a normal prompt, and ending the round of consistency accounting.

The application also provides a regional topology network electricity data consistency accounting method, and the specific steps are consistent with the steps 1-4.

In the step 1, the meter reading control module sends a meter reading request to a total root node, an intermediate node and a terminal node, and the total root node, the intermediate node and the terminal node report corresponding meter readings, and the control method can adopt any one or two of the two modes of event triggering and periodic reporting to cooperate; when the event triggering is that the meter reading is needed, the meter reading control module sends a meter reading request to each node, and then each node reads the meter and reports the result; and the periodic reporting, namely the table reading control module configures reporting periods of all nodes, and all the nodes perform according to the configured periodic reporting mode in the table reading result.

In the step 2, the method for determining the consistency of the subordinate data of each node comprises the following steps:

step 2.1, taking a power supply as a total root node of a tree, and storing readings of all nodes by adopting a multi-branch tree structure according to a power supply topology, wherein each node comprises the total root node, an intermediate node and a terminal node, and the intermediate node connected with the terminal node is also called as the terminal node; the next-level nodes directly connected with the same node belong to child nodes of the nodes; terminal nodes directly connected with the terminal nodes and all belong to child nodes of the terminal nodes; the nodes with child nodes all belong to a root node;

In the step 2.3, for the case that the root node is the end node, the transmission loss between the root node and its child node (the child node is the terminal node at this time) can be corrected by adopting an empirical value, and the transmission loss between the end node and each terminal node directly connected with the root node does not need to be checked one by one, so that the operation efficiency is improved while the transportation precision is ensured.

In the step 3, the node pair information of abnormal output includes pairing information of a root node and a child node;

step 3.4, comparing the historical characteristic parameters with the abnormal characteristic parameters, if the historical characteristic parameters are inconsistent with the abnormal characteristic parameters, identifying the root node and the child node pair as a class A abnormal node pair, otherwise, identifying the root node and the child node pair as a class B abnormal node pair; the class a is more likely to represent an anomaly than the class B.

and 3.7, finishing judgment, and outputting abnormal node pair information.

In the step 3.3, the characteristic parameter is used to characterize the electricity consumption characteristic corresponding to the node, and typically, the total amount of electricity used in the month, or the standard deviation of electricity used in the month, or the maximum deviation value of electricity used in the month on a single day, etc., which is not particularly limited.

A specific implementation of a regional power uniformity accounting system is described below with specific examples:

examples: as shown in fig. 3, the home network is composed of a power source (i.e., a total root node), an intermediate node 1, an intermediate node 1_1, an intermediate node 1_2, an intermediate node 1_3, a terminal node 1_1_1, a terminal node 1_2_1, a terminal node 1_2_2, a terminal node 1_2_3, a terminal node 1_2_4, and a terminal node 1_3_1. Wherein the power supply is a total root node; intermediate node 1_1, intermediate node 1_2, intermediate node 1_3 are the final nodes; the power supply, the intermediate node 1, the intermediate node 1_1, the intermediate node 1_2 and the intermediate node 1_3 are root nodes; intermediate node 1_1, intermediate node 1_2, intermediate node 1_3 are child nodes of intermediate node 1; the terminal node 1_1_1 is a child node of the intermediate node 1_1; terminal nodes 1_2_1, 1_2_2, 1_2_3 and 1_2_4 are child nodes of the intermediate node 1_2; the terminal node 1_3_1 is a child node of the intermediate node 1_3; the aforementioned topological relation corresponds to the topological structure of fig. 3.

The method comprises the steps of firstly storing the meter reading information and the path loss value of each node in a multi-way mode (the path loss value is calculated according to the transmission distance between the child node and the root node and the electric energy path loss), and the storage result is shown in a table 1 in detail.

Then, according to steps 2.1 to 2.4, calculating the consistency of the slave data of each node, if the preset threshold value 1 in the embodiment is 10% of the electric energy meter reading value of the root node, the error between the total root node and the child node 'intermediate node 1' thereof is (200-190-8)/200 is equal to 1%, so that the node pair is in a 10% threshold range, namely the working state is normal; the error of the root node "intermediate node 1" and its child nodes "intermediate node 1_1", "intermediate node 1_2", and "intermediate node 1_3" is (190-30-7-80-5-40-3)/190=13.2, which is greater than a threshold of 10%, and since the root node "intermediate node 1" is not an end node (corresponding to the condition of the second half of step 3.2), the root node and all its child nodes are identified as a class a abnormal node pair, i.e., { intermediate node 1, intermediate node 1_2}, { intermediate node 1, intermediate node 1_3} is a class a abnormal node pair; then, performing error calculation of the root node 'intermediate node 1_1' and the child node 'terminal node 1_1_1', wherein the error is (30-27-2)/30=3.3%, and the error is within the error range; the root node "intermediate node 1_2" and its child nodes "terminal node 1_2_1", "terminal node 1_2_2", "terminal node 1_2_3", and "terminal node 1_2_4" are calculated to have an error of (80-10-2-10-3-15-2-20-2)/80=20% beyond the error range of 10%, so that the root node 'intermediate node 1_2' is a terminal node, the root node 'intermediate node 1_2' is problematic in slave data consistency, and the determination of abnormal node pairs is completed according to steps 3.2 to 3.7, the present embodiment uses the history mean and the maximum deviation value as references to determine A, B abnormal levels, and uses the terminal node 1_2_1 as an example, since the history mean is 30 and the maximum deviation value is 5, if the terminal node 1_2_1 reads the table value in the range of 25 to 35, then it is considered normal, but since the terminal node 1_2_1 reads the table value 10 and is not in the expected range, the { intermediate node 1_2, terminal node 1_2_1} node pair is determined as the a-level abnormal node pair, the abnormal situation of the root node "intermediate node 1_2" and the other three child nodes can be calculated according to the same method, since the other three child nodes are all in the historical data prediction range, they are determined as the B-level abnormal node pair, namely { intermediate node 1_2, terminal node 1_2_2}, { intermediate node 1_2, terminal node 1_2_3}, { intermediate node 1_2, terminal node 1_2_4} is the B-level abnormal node pair, and finally the abnormal node pair information output by the present application is:

class a abnormal node pair:

{ intermediate node 1, intermediate node 1_2},

{ intermediate node 1, intermediate node 1_3 }),

{ intermediate node 1_2, terminal node 1_2_1}

Class B abnormal node pair:

{ intermediate node 1_2, terminal node 1_2_2}

{ intermediate node 1_2, terminal node 1_2_3}

{ intermediate node 1_2, end node 1_2_4}.

Correspondingly, the power grid maintainer can overhaul according to the priority based on the intelligent analysis result.

According to the embodiment, the consistency of the slave data of the topological network node is judged after the intelligent meter reading, the electricity utilization abnormality is intelligently detected, the abnormal terminal is judged based on the electricity utilization priori characteristics of the terminal node, the intelligent, timely and refined detection of the electricity utilization abnormality behavior is realized, and the safety and the reliability of the power supply service are greatly improved.

The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.

While the foregoing description of the embodiments of the present application has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the application, but rather, it is intended to cover all modifications or variations within the scope of the application as defined by the claims of the present application.

Claims

1. The regional topology network electricity data consistency accounting method is characterized by comprising the following steps of:

step 2.4, judging whether a root node which does not complete consistency accounting exists in the multi-way tree, if so, jumping to the step 2.2, and if not, ending the consistency accounting;

and 3.7, finishing judgment, and outputting abnormal node pair information.

2. The regional topology network electricity consumption data consistency accounting method of claim 1, wherein:

in the step 1, the control method for obtaining the electric quantity meter reading information reported by the total root node, the intermediate node and the terminal node adopts any one or two of the two modes of event triggering and periodic reporting.

3. The regional topology network electricity consumption data consistency accounting method of claim 2, wherein:

when the event triggering is based on the fact that the meter reading is needed, each node receives a meter reading request of an upper platform, and then each node reads the meter and reports a result; and periodically reporting, namely periodically reporting the table reading result by each node according to the configuration.

4. The regional topology network electricity consumption data consistency accounting method of claim 1, wherein:

in the step 2.3, for the case that the root node is the end node, the transmission loss between the root node and the child nodes is corrected by adopting an empirical value, so that the transmission loss between the end node and each terminal node directly connected with the root node is not required to be checked one by one, and the operation efficiency is improved while the transportation precision is ensured.

5. The regional topology network electricity consumption data consistency accounting method of claim 1, wherein:

in the step 3, the node pair information of abnormal output includes pairing information of the root node and the child node.

6. The regional topology network electricity consumption data consistency accounting method of claim 1, wherein:

in the step 3.3, the characteristic parameter is used for representing the electric quantity use characteristic corresponding to the node, and the characteristic parameter adopts any one or a combination of a plurality of moon electricity consumption total amount, moon electricity consumption standard deviation and moon electricity consumption single-day maximum deviation value.

7. The regional topology network electricity consumption data consistency accounting method of any of claims 1-6, wherein:

the method is based on a verification system consisting of a meter reading control module, a consistency detection module, an abnormal node pair detection module and a detection result output module, and the specific functions of the modules are as follows: