Intelligent power distribution monitoring system for low voltage areas

Abstract

The present invention discloses an intelligent power distribution monitoring system applied to low-voltage substations, which relates to the technical field of power distribution monitoring and comprises a monitoring center, wherein the monitoring center is communicatively connected with a data acquisition module, a data processing module, a power distribution analysis module and a power distribution early warning module; by setting a data acquisition terminal for collecting power data at each power node in the low-voltage substation, the power data of each power node is acquired in real time, so as to perform corresponding evaluation on each power node and the distribution lines between the power nodes, judge whether there is any abnormality in the operation status of the power node and the distribution line according to the evaluation result, and generate corresponding early warning information when there is any abnormality, so as to realize that when the operation status of the power node or the distribution line in the low-voltage substation is abnormal, the corresponding early warning can be generated in time, and the technical personnel can be assisted to quickly process the abnormal position and reduce the impact caused by the abnormality.

Description

Technical Field

[0001] The present invention relates to the technical field of power distribution monitoring, and in particular to an intelligent power distribution monitoring system applied to low-voltage areas. Background Art

[0002] In the management of low-voltage distribution substations, there is still a lack of scientific and effective means to obtain basic data such as low-voltage line voltage, current, residual current, etc. in real time, and the only way is to rely on measurement personnel. Relying on multimeters, clamp ammeters and other measurement tools to conduct on-site measurements in the substation area not only wastes human and material resources, but also poses safety hazards to a certain extent. Due to the inability to achieve real-time monitoring, there are problems such as untimely, incomplete, and unscientific data acquisition in actual work, resulting in the lack of scientific, accurate and effective data in the work of line loss management, voltage management, and power supply reliability management of county-level power supply companies;

[0003] How to realize the power distribution monitoring of low-voltage substations, so that when the operating status of power nodes or distribution lines in the low-voltage substations is abnormal, corresponding warnings can be generated in time to assist technical personnel to quickly deal with the abnormal locations and reduce the impact of the abnormalities, is the problem we need to solve. For this purpose, we now provide an intelligent power distribution monitoring system for low-voltage substations. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent power distribution monitoring system for low voltage distribution areas.

[0005] The object of the present invention can be achieved by the following technical solutions: an intelligent power distribution monitoring system applied to a low voltage area includes a monitoring center, wherein the monitoring center is communicatively connected with a data acquisition module, a data processing module, a power distribution analysis module and a power distribution early warning module;

[0006] The data acquisition module is used to collect power data from each power node of the power grid in the low-voltage area;

[0007] The data processing module is used to obtain a corresponding area power status diagram according to the obtained power data of each power node in the voltage area;

[0008] The data analysis module is used to determine whether there is an abnormality in the power supply of the low-voltage area according to the obtained area power status diagram, and if there is an abnormality, generate corresponding abnormal warning information;

[0009] The power distribution warning module is used to update the power status diagram of the substation area accordingly according to the generated abnormal warning information.

[0010] Furthermore, the process of the data acquisition module collecting power data from each power node of the power grid in the low-voltage area includes:

[0011] The data acquisition module is composed of a number of data acquisition nodes;

[0012] The low voltage area is composed of a number of power nodes and distribution lines, and the distribution lines are used to connect different power nodes;

[0013] A corresponding data acquisition terminal is set at each power node, and power data of each power node is acquired in real time through the set data acquisition terminal, wherein the power data includes input voltage, output voltage, input current and output current;

[0014] The standard power of the power node and the basic parameters of each distribution line are obtained, wherein the basic parameters of the distribution line include line length, line type and line cross-sectional area.

[0015] Furthermore, the process of the data processing module obtaining the corresponding area power status diagram according to the obtained power data of each power node in the voltage area includes:

[0016] Generate corresponding virtual power nodes and virtual distribution lines according to each power node and distribution line in the low-voltage area;

[0017] Construct a corresponding virtual area power grid according to the location of each power node and distribution line in the low-voltage area;

[0018] Mapping the generated virtual power nodes and virtual distribution lines to corresponding locations in the virtual substation power grid, and associating the virtual power nodes and virtual distribution lines with corresponding power nodes and distribution lines;

[0019] The standard power of each power node obtained is configured into the corresponding virtual power node, and the basic parameters of the distribution line are configured into the corresponding virtual distribution line, and the power data of each power node obtained is imported into the corresponding virtual power node;

[0020] Constructing a plane coordinate system of power data with respect to time for each power node;

[0021] Generating an input voltage variation curve, an output voltage variation curve, an input current variation curve, and an output current variation curve according to the power data imported into the virtual power node, and mapping them into the constructed plane coordinate system;

[0022] A time window is set in the plane coordinate system, wherein the time window consists of a first time axis and a second time axis, wherein the first time axis corresponds to time t1, the second time axis corresponds to time t2, and time t2 is the current time;

[0023] The intersection points of the first time axis and each change curve are marked, and the power data of each intersection point is obtained, the power data is uploaded to the corresponding virtual power node, and the uploaded power data of each intersection point is displayed as data visualization of the virtual power node, thereby obtaining a power status diagram of the substation area.

[0024] Furthermore, the time window is a dynamic time window, and a dynamic duration threshold T is set;

[0025] Among them, time t1 is the initial time and is fixed in the plane coordinate system. When the duration between time t2 and time t1 reaches the dynamic duration threshold T, time t1 is updated to the position of time t2, and so on.

[0026] Furthermore, the data analysis module determines whether there is an abnormality in the power supply of the low-voltage area according to the obtained area power status diagram, and if there is an abnormality, generates corresponding abnormal warning information, including:

[0027] Obtaining the node evaluation coefficient Gp of each power node according to the obtained power status diagram of the substation area;

[0028] Set a corresponding node evaluation threshold G0 for each power node;

[0029] Compare the obtained node evaluation coefficient with the corresponding node evaluation threshold to obtain a corresponding comparison result;

[0030] When Gp<G0, it means that the corresponding power node is in normal state;

[0031] When Gp≤G0, it means that the corresponding power node is abnormal, and the power node is marked as an abnormal node;

[0032] Obtain a distribution line connected to the abnormal node, mark the power node connected to the distribution line, and obtain a transmission evaluation coefficient Cp between the abnormal node and the marked power node;

[0033] Set the line evaluation threshold X0;

[0034] When Cp<X0, it means that there is no abnormality in the corresponding distribution line, and node abnormality warning information is generated;

[0035] When Cp≥X0, it means that the corresponding distribution line is abnormal, and a line abnormality warning information is generated.

[0036] Furthermore, the process in which the power distribution warning module updates the power status diagram of the substation area according to the generated abnormal warning information includes:

[0037] When node abnormality warning information is generated, the power data of the intersection of the second time axis and each change curve corresponding to the time t2 is obtained, and the power data is updated to the power status diagram of the substation area. At the same time, the generated node abnormality warning information is mapped to the virtual power node corresponding to the abnormal node, and the corresponding virtual power node is highlighted and flashed according to the node abnormality warning information;

[0038] When line abnormality warning information is generated, the corresponding line abnormality warning information is mapped to the virtual power node corresponding to the corresponding abnormal node and the corresponding virtual distribution line, and the virtual power node and the virtual distribution line are highlighted and flashed at the same time.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] By setting up a data acquisition terminal for collecting power data at each power node in the low-voltage substation, the power data of each power node is obtained in real time, and the input voltage, output voltage, input current and output current of each power node are used to evaluate each power node and the distribution lines between the power nodes. According to the evaluation results, it is judged whether there are any abnormalities in the operating status of the power nodes and distribution lines, and corresponding early warning information is generated when there are any abnormalities. In this way, when the operating status of the power nodes or distribution lines in the low-voltage substation is abnormal, corresponding early warnings can be generated in time to assist technical personnel to quickly deal with the abnormal locations and reduce the impact of the abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0042] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0043] like Figure 1 As shown, the intelligent power distribution monitoring system applied to the low voltage area includes a monitoring center, and the monitoring center is communicatively connected with a data acquisition module, a data processing module, a power distribution analysis module and a power distribution early warning module;

[0044] The data acquisition module is used to collect power data from each power node of the power grid in the low-voltage area;

[0045] The data processing module is used to obtain a corresponding area power status diagram according to the obtained power data of each power node in the voltage area;

[0046] The data analysis module is used to determine whether there is an abnormality in the power supply of the low-voltage area according to the obtained area power status diagram, and if there is an abnormality, generate corresponding abnormal warning information;

[0047] The power distribution warning module is used to update the power status diagram of the substation area accordingly according to the generated abnormal warning information.

[0048] It should be further explained that, in the specific implementation process, the process of the data acquisition module collecting power data from each power node of the power grid in the low-voltage area includes:

[0049] The data acquisition module is composed of a number of data acquisition nodes;

[0050] The low voltage area is composed of a number of power nodes and distribution lines, and the distribution lines are used to connect different power nodes;

[0051] Each power node is labeled as i, where i=1, 2, ..., n, n is an integer, and n>0;

[0052] A corresponding data acquisition terminal is set at each power node, and power data of each power node is acquired in real time through the set data acquisition terminal, wherein the power data includes input voltage, output voltage, input current and output current;

[0053] The input voltage, output voltage, input current and output current of the power node labeled i obtained by the data acquisition terminal are respectively denoted as Ji, U IN 、Ji U OUT 、Ji I IN and JiI OUT ;

[0054] Get the standard power of the power node labeled i, denoted as W i , and obtain basic parameters of each distribution line, wherein the basic parameters of the distribution line include line length, line type and line cross-sectional area;

[0055] The obtained power data of each power node is uploaded to the data processing module.

[0056] It should be further explained that, in a specific implementation process, the process of the data processing module obtaining the corresponding area power status diagram according to the obtained power data of each power node in the voltage area includes:

[0057] Generate corresponding virtual power nodes and virtual distribution lines according to each power node and distribution line in the low-voltage area;

[0058] Construct a corresponding virtual area power grid according to the location of each power node and distribution line in the low-voltage area;

[0059] Mapping the generated virtual power nodes and virtual distribution lines to corresponding locations in the virtual substation power grid, and associating the virtual power nodes and virtual distribution lines with corresponding power nodes and distribution lines;

[0060] The standard power of each power node obtained is configured into the corresponding virtual power node, and the basic parameters of the distribution line are configured into the corresponding virtual distribution line, and the power data of each power node obtained is imported into the corresponding virtual power node;

[0061] Constructing a plane coordinate system of power data with respect to time for each power node;

[0062] Generating an input voltage variation curve, an output voltage variation curve, an input current variation curve, and an output current variation curve according to the power data imported into the virtual power node, and mapping them into the constructed plane coordinate system;

[0063] A time window is set in the plane coordinate system, wherein the time window consists of a first time axis and a second time axis, wherein the first time axis corresponds to time t1, the second time axis corresponds to time t2, and time t2 is the current time;

[0064] The time window is a dynamic time window and is provided with a dynamic duration threshold T;

[0065] Among them, time t1 is the initial time and is fixed in the plane coordinate system. When the duration between time t2 and time t1 reaches the dynamic duration threshold T, time t1 is updated to the position of time t2, and so on;

[0066] The intersection points of the first time axis and each change curve are marked, and the power data of each intersection point is obtained, the power data is uploaded to the corresponding virtual power node, and the uploaded power data of each intersection point is displayed as data visualization of the virtual power node, thereby obtaining a power status diagram of the substation area.

[0067] It should be further explained that, in the specific implementation process, the data analysis module determines whether there is an abnormality in the power supply of the low-voltage area according to the obtained area power status diagram, and if there is an abnormality, the process of generating corresponding abnormal warning information includes:

[0068] Obtain the node evaluation coefficient of each power node from the obtained power status diagram of the substation area, denoted as Gp;

[0069] in,

[0070] A corresponding node evaluation threshold is set for each power node, denoted as G0, where the node evaluation threshold of each power node can be different and is positively correlated with the service life of the power node, that is, the longer the service life, the higher the node evaluation threshold;

[0071] Compare the obtained node evaluation coefficient with the corresponding node evaluation threshold to obtain a corresponding comparison result;

[0072] When Gp<G0, it means that the corresponding power node is in normal state;

[0073] When Gp≤G0, it means that the corresponding power node is abnormal, and the power node is marked as an abnormal node;

[0074] Obtain the distribution line connected to the abnormal node, mark the power node connected to the distribution line, and obtain the transmission evaluation coefficient between the abnormal node and the marked power node, which is recorded as Cp;

[0075] in

[0076] Where A represents the input current of the distribution line, S represents the cross-sectional area of ​​the distribution line, ρ represents the resistivity of the distribution line, L represents the length of the distribution line, and U 异 ,I 异 Respectively represent the voltage value and current value of the marked power node connected to the power distribution line, depending on the power transmission relationship between the abnormal node and the marked power node;

[0077] When the power transmission relationship is that the abnormal node transmits to the marked power node, U 异 ,I 异 are the output voltage and output current of the abnormal node, U 异 ,I 异 are the input voltage and input current of the marked power nodes, respectively;

[0078] When the power transmission relationship is that the marked power node is transmitted to the abnormal node, then U 异 ,I 异 are the input voltage and input current of the abnormal node, U 异 ,I 异 are the output voltage and output current of the marked power nodes, respectively;

[0079] Set the line evaluation threshold, denoted as X0;

[0080] When Cp<X0, it means that there is no abnormality in the corresponding distribution line, and node abnormality warning information is generated;

[0081] When Cp≥X0, it means that the corresponding distribution line is abnormal, and a line abnormality warning information is generated.

[0082] It should be further explained that, in the specific implementation process, the process in which the power distribution warning module updates the power status diagram of the substation area according to the generated abnormal warning information includes:

[0083] When node abnormality warning information is generated, the power data of the intersection of the second time axis and each change curve corresponding to the time t2 is obtained, and the power data is updated to the power status diagram of the substation area. At the same time, the generated node abnormality warning information is mapped to the virtual power node corresponding to the abnormal node, and the corresponding virtual power node is highlighted and flashed according to the node abnormality warning information;

[0084] When line abnormality warning information is generated, the corresponding line abnormality warning information is mapped to the virtual power node corresponding to the corresponding abnormal node and the corresponding virtual distribution line, and the virtual power node and the virtual distribution line are highlighted and flashed at the same time.

[0085] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Although the present invention has been disclosed as a preferred embodiment as above, it is not used to limit the present invention. Any technical personnel in this field can make some changes or modify the technical contents disclosed above into equivalent embodiments with equivalent changes without departing from the scope of the technical solution of the present invention. However, any modification or equivalent replacement of the above embodiments made according to the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the scope of the technical solution of the present invention.

Claims

1. An intelligent power distribution monitoring system applied to low voltage areas, including a monitoring center, characterized in that: The monitoring center is communicatively connected to a data acquisition module, a data processing module, a power distribution analysis module and a power distribution early warning module; The data acquisition module is used to collect power data from each power node of the power grid in the low-voltage area; The data processing module is used to obtain a corresponding area power status diagram according to the obtained power data of each power node in the voltage area; The data analysis module is used to determine whether there is an abnormality in the power supply of the low-voltage area according to the obtained area power status diagram, and if there is an abnormality, generate corresponding abnormal warning information; The power distribution warning module is used to update the power status diagram of the substation area accordingly according to the generated abnormal warning information.

2. The intelligent power distribution monitoring system applied to low voltage substations according to claim 1 is characterized in that: The process of the data acquisition module collecting power data from each power node in the low-voltage area includes: The data acquisition module is composed of a number of data acquisition nodes; The low voltage area is composed of a number of power nodes and distribution lines, and the distribution lines are used to connect different power nodes; A corresponding data acquisition terminal is set at each power node, and power data of each power node is acquired in real time through the set data acquisition terminal, wherein the power data includes input voltage, output voltage, input current and output current; The standard power of the power node and the basic parameters of each distribution line are obtained, wherein the basic parameters of the distribution line include line length, line type and line cross-sectional area.

3. The intelligent power distribution monitoring system applied to low voltage substations according to claim 2 is characterized in that: The process of the data processing module obtaining the corresponding area power status diagram according to the obtained power data of each power node in the voltage area includes: Generate corresponding virtual power nodes and virtual distribution lines according to each power node and distribution line in the low-voltage area; Construct a corresponding virtual area power grid according to the location of each power node and distribution line in the low-voltage area; Mapping the generated virtual power nodes and virtual distribution lines to corresponding locations in the virtual power grid, and associating the virtual power nodes and virtual distribution lines with corresponding power nodes and distribution lines; The standard power of each power node obtained is configured into the corresponding virtual power node, and the basic parameters of the distribution line are configured into the corresponding virtual distribution line, and the power data of each power node obtained is imported into the corresponding virtual power node; Constructing a plane coordinate system of power data with respect to time for each power node; Generating an input voltage variation curve, an output voltage variation curve, an input current variation curve, and an output current variation curve according to the power data imported into the virtual power node, and mapping them into the constructed plane coordinate system; A time window is set in the plane coordinate system, wherein the time window consists of a first time axis and a second time axis, wherein the first time axis corresponds to time t1, the second time axis corresponds to time t2, and time t2 is the current time; The intersection points of the first time axis and each change curve are marked, and the power data of each intersection point is obtained, the power data is uploaded to the corresponding virtual power node, and the uploaded power data of each intersection point is displayed as data visualization of the virtual power node, thereby obtaining a power status diagram of the substation area.

4. The intelligent power distribution monitoring system applied to low voltage areas according to claim 3 is characterized in that: The time window is a dynamic time window and is provided with a dynamic duration threshold T; Among them, time t1 is the initial time and is fixed in the plane coordinate system. When the duration between time t2 and time t1 reaches the dynamic duration threshold T, time t1 is updated to the position of time t2, and so on.

5. The intelligent power distribution monitoring system applied to low voltage substations according to claim 3 is characterized in that: The data analysis module determines whether there is an abnormality in the power supply of the low-voltage area according to the obtained area power status diagram, and generates corresponding abnormal warning information if there is an abnormality, including: Obtaining the node evaluation coefficient Gp of each power node according to the obtained power status diagram of the substation area; Set a corresponding node evaluation threshold G0 for each power node; Compare the obtained node evaluation coefficient with the corresponding node evaluation threshold to obtain a corresponding comparison result; When Gp<G0, it means that the corresponding power node is in normal state; When Gp≤G0, it means that the corresponding power node is abnormal, and the power node is marked as an abnormal node; Obtain a distribution line connected to the abnormal node, mark the power node connected to the distribution line, and obtain a transmission evaluation coefficient Cp between the abnormal node and the marked power node; Set the line evaluation threshold X0; When Cp<X0, it means that there is no abnormality in the corresponding distribution line, and node abnormality warning information is generated; When Cp≥X0, it means that the corresponding distribution line is abnormal, and a line abnormality warning information is generated.

6. The intelligent power distribution monitoring system applied to low voltage substations according to claim 5 is characterized in that: The process of the power distribution warning module updating the power status diagram of the substation area according to the generated abnormal warning information includes: When node abnormality warning information is generated, the power data of the intersection of the second time axis and each change curve corresponding to the time t2 is obtained, and the power data is updated to the power status diagram of the substation area. At the same time, the generated node abnormality warning information is mapped to the virtual power node corresponding to the abnormal node, and the corresponding virtual power node is highlighted and flashed according to the node abnormality warning information; When line abnormality warning information is generated, the corresponding line abnormality warning information is mapped to the virtual power node corresponding to the corresponding abnormal node and the corresponding virtual distribution line, and the virtual power node and the virtual distribution line are highlighted and flashed at the same time.

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