Deployment method of disaster-resistant metering device for flood disaster

Abstract

The invention provides a method for deploying disaster-resistant metering devices for flood disasters, and belongs to the technical field of disaster prevention of power systems. Comprising the following steps: acquiring device information of all non-disaster-resistant metering devices in a target regional power grid; according to the device type of each metering device, the number of influence users, and the voltage grade and criticality of a power grid node where the metering device is located, obtaining a corresponding importance degree value; acquiring a corresponding flood risk value according to the historical flood disaster times, the altitude data and the geographic position risk value of the position of each metering device; obtaining a corresponding comprehensive score according to the importance degree value and the flood risk value of each metering device; and sequentially selecting the metering devices according to the comprehensive scores in a descending order, and determining the deployment positions of the anti-disaster metering devices. According to the invention, the disasters-resistant metering devices at key positions can be deployed, and the toughness of a power grid facing flood disasters is remarkably improved.

Description

Technical Field

[0001] This invention belongs to the field of power system disaster prevention technology, specifically relating to a method for deploying a disaster-resistant metering device for flood disasters. Background Technology

[0002] When floods occur, traditional metering devices such as electricity meters, metering boxes, data acquisition terminals, and instrument transformers cannot continue to work after being submerged in water. This affects the accuracy of electricity metering and control protection systems, impairs the power system's ability to detect load changes, and seriously affects the safe and stable operation of the power system.

[0003] Currently, disaster-resistant metering devices have emerged to address flooding disasters. However, these devices are costly. Therefore, when deploying such devices, identifying key nodes susceptible to flooding disasters is a technical challenge that needs to be addressed. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method for deploying a disaster-resistant metering device for flood disasters, in order to address the shortcomings of the prior art.

[0005] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for deploying disaster-resistant metering devices for flood disasters includes: acquiring device information of all non-disaster-resistant metering devices in the power grid of the target area; obtaining a corresponding importance value based on the device type, number of affected users, voltage level, and criticality of the power grid node where each metering device is located; obtaining a corresponding flood risk value based on the historical number of flood disasters, elevation data, and geographical location risk value of each metering device's location; obtaining a corresponding comprehensive score based on the importance value and flood risk value of each metering device; and selecting metering devices in descending order of comprehensive score to determine the deployment location of the disaster-resistant metering devices.

[0006] Furthermore, the criticality is the electrical betweenness of the node where the metering device is located.

[0007] Furthermore, the method for obtaining the electrical betweenness of the target node includes: obtaining the comprehensive weight between any generating node and any load node, wherein the comprehensive weight is the square root of the product of the rated output of the generating node and the peak load of the load node and the equivalent impedance between the nodes; obtaining the current change of the target node caused by any generating node transmitting unit power to any load node; traversing all generating nodes and all load nodes of the target area power grid, obtaining the cumulative result of the product of all comprehensive weights and the corresponding current changes, and the cumulative result is the electrical betweenness of the target node.

[0008] Furthermore, the comprehensive weight between nodes is the sum of the total reactance values ​​of all lines between nodes.

[0009] Furthermore, the current change at the target node is the absolute value of the product of the quotient of the conjugate voltage difference between the generation node and the load node and the actual voltage difference, and the admittance of the target node.

[0010] Furthermore, the geographical location risk value is the shortest distance between the location of the metering device and the open body of water.

[0011] Furthermore, the method for obtaining the corresponding importance value based on the device type, number of affected users, voltage level, and criticality of the power grid node for each metering device includes: normalizing the device type, number of affected users, node voltage level, and node criticality respectively, and then weighting and summing them to obtain the importance value.

[0012] Furthermore, the method for obtaining the corresponding flood risk value based on the historical number of flood disasters, elevation data, and geographical location risk value of each metering device location includes: normalizing the number of flood disasters, elevation data, and geographical location risk value respectively, and then weighting and summing them to obtain the flood risk value.

[0013] Furthermore, the method for obtaining the corresponding comprehensive score based on the importance value and flood risk value of each metering device includes: weighting the importance value and flood risk value separately and then summing them to obtain the comprehensive score.

[0014] Furthermore, when performing weighted summation, the weight of each indicator is determined by an expert system.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: When deploying disaster-resistant metering devices, the current metering devices are generally replaced directly. Based on this, this application utilizes existing non-disaster-resistant metering devices to determine the deployment location of disaster-resistant metering devices. In determining the deployment location, this application assesses multiple dimensions, including power grid topology characteristics, social impact, and geographical risks, to avoid bias caused by a single indicator. By combining the importance of the metering devices (device type, number of affected users, node voltage level, node criticality) and flood risk values ​​(historical disaster frequency, elevation data, distance from water bodies), a scientific prioritization of metering device deployment is achieved.

[0016] This application utilizes electrical betweenness to represent the criticality of nodes. The electrical betweenness is obtained based on the electrical characteristics of the power grid, and the electrical betweenness of a node can reflect its impact on power grid stability during a fault. Furthermore, in calculating the electrical betweenness, dynamic current sensitivity is used instead of traditional topology analysis, which more quantitatively measures the actual impact of node faults on the overall power transmission of the network.

[0017] This application, taking into account the total budget, enables the deployment of disaster-resistant metering devices in critical locations, which can significantly improve the resilience of the power grid in the face of floods. Detailed Implementation

[0018] To better understand the present invention, the following embodiments further illustrate the content of the invention, but the scope of protection of the present invention is not limited to the following embodiments. Numerous specific details are set forth in the following description to provide a more thorough understanding of the invention. However, it will be apparent to those skilled in the art that the present invention can be practiced without one or more of these details.

[0019] Example 1: The purpose of this example is to provide a method for deploying a disaster-resistant metering device for flood disasters, including: S1. Obtain device information for all non-disaster-resistant metering devices in the target area's power grid.

[0020] This application targets all flood-prone metering devices (non-disaster-resistant metering devices) in the target area's power grid as pre-deployment targets for disaster-resistant metering devices. During deployment, the original metering devices are directly replaced, or disaster-resistant metering devices are added as redundant disaster backup metering devices.

[0021] This step first obtains all non-disaster-resistant metering devices in the target area's power grid, and acquires device information for these devices, such as device type, geographical location, number of affected users, and information about the power grid node they are located in.

[0022] The number of affected users is determined based on the power supply range. For critical facilities such as hospitals, the number of affected users can be increased several times to highlight the extent of the impact.

[0023] This information can be obtained from the Power Grid Equipment Asset Management System (PSM) or other power grid systems.

[0024] S2. Obtain the corresponding importance value based on the device type of each metering device, the number of users affected, and the voltage level and criticality of the power grid node where it is located.

[0025] Based on information such as the grid node information, grid topology, and power flow data, the voltage level and criticality of the grid node are obtained.

[0026] This step first normalizes the device type, number of affected users, node voltage level, and node criticality, and then performs a weighted summation to obtain the importance value.

[0027] Different types of metering devices have varying functional importance within the system. For example, the data acquisition terminal in a metering device is responsible for data collection; a failure in this terminal can lead to widespread data loss. Current transformers in metering devices are high-voltage side equipment; a failure in these transformers can affect the acquisition of power grid operation data. Meter boxes and electricity meters are installed on the user side; failures in these boxes can affect the acquisition of user electricity consumption data. The number of affected users directly reflects the scale of users potentially affected by a metering device failure. In the node voltage level index, the higher the voltage level, the more important the node. Node criticality reflects the node's pivotal role in power grid transmission.

[0028] Therefore, different indicators are assigned different weights, with the higher the weight of the indicator that has the greater impact on the safe and stable operation of the power grid.

[0029] Preferably, the criticality of a node is represented by its electrical betweenness. The electrical betweenness is obtained based on the electrical characteristics of the power grid, and the electrical betweenness of a node can reflect its impact on the stability of the power grid during a fault.

[0030] Methods for obtaining the electrical betweenness of the target node include: Obtain the comprehensive weight between any generating node and any load node; the comprehensive weight is the square root of the product of the sum of the rated output of the generating node and the peak load of the load node and the equivalent impedance between the nodes; Obtain the change in current at the target node caused by any power generation node transmitting a unit power to any load node; Traverse all power generation nodes and all load nodes in the target area power grid, and obtain the cumulative result of the product of all comprehensive weights and the corresponding current changes. The cumulative result is the electrical betweenness of the target node.

[0031] The equivalent impedance between nodes is the sum of the total reactance values ​​of all lines between nodes. For example, first construct the node admittance matrix, then invert the admittance matrix to obtain the node impedance matrix, and use the impedance matrix to easily obtain the equivalent impedance between nodes.

[0032] The change in current reflects the sensitivity of the target node current to the power transmission between the generator node and the load node. The change in current can be calculated by taking the quotient of the conjugate voltage difference between the generator node and the load node and the actual voltage difference, multiplying it by the admittance of the target node, and finally taking the absolute value to obtain the change in current.

[0033] S3. Obtain the corresponding flood risk value based on the historical number of flood disasters, elevation data, and geographical location risk value of each metering device.

[0034] The number of floods in recent years at the location of each metering device is obtained from meteorological, water resources and other disaster databases.

[0035] If the geographical location of the metering device obtained in step S1 does not include latitude and longitude coordinates, then its latitude and longitude coordinates are first obtained from the address using geocoding. Geocoding can be implemented using existing map APIs.

[0036] Based on the latitude and longitude coordinates of the metering device, its elevation data is obtained using a GIS system, and the shortest distance from the device to open water bodies such as rivers and lakes is determined. Preferably, the geographical location risk value is represented by the shortest distance from the metering device to the open water body.

[0037] This step first normalizes the number of flood disasters, elevation data, and geographical location risk values, then weights and sums them to obtain the flood risk value.

[0038] The number of floods directly reflects the frequency of floods at the location of the metering device; elevation data reflects to some extent the possibility that the location of the metering device will be submerged during floods; geographical location risk reflects the degree of danger at the location of the metering device, the closer it is to open water bodies, the more dangerous it will be during floods.

[0039] Therefore, different weights are set for different indicators, with the higher the weight of the indicator that has a greater impact on flood risk.

[0040] S4. Obtain a comprehensive score based on the importance value and flood risk value of each metering device.

[0041] The importance value and flood risk value are weighted and summed separately to obtain a comprehensive score. The comprehensive score of the metering device takes into account both the importance of the metering device and the degree of risk of being affected by floods. The higher the comprehensive score, the stronger the need for disaster-resistant metering devices to be deployed at the metering device location.

[0042] S5. Under the premise that the total budget is not exceeded, select metering devices in descending order of comprehensive scores and determine the deployment location of disaster-resistant metering devices.

[0043] The budget for each deployment of disaster-resistant metering devices is not unlimited. Therefore, metering devices should be selected in order of priority based on their comprehensive scores, and the total budget for the deployment of disaster-resistant metering devices should be calculated cumulatively to ensure that the total budget does not exceed the limit. The budget includes the purchase cost and installation cost of the metering devices.

[0044] After selecting the metering device, deploy the disaster-resistant metering device at the selected location. The deployment can be done by directly replacing the original metering device or by adding a disaster-resistant metering device as a redundant disaster backup metering device.

[0045] In steps S2, S3, and S4, when performing weighted summation, the weight of each indicator can be determined through an expert system or based on historical data.

[0046] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Any other modifications or equivalent substitutions made by those skilled in the art to the technical solutions of the present invention, as long as they do not depart from the spirit and scope of the technical solutions of the present invention, should be covered within the scope of the claims of the present invention.

Claims

1. A method for deploying a disaster-resistant metering device for flood disasters, characterized in that, include: Obtain device information for all non-disaster-resistant metering devices in the target area's power grid; The importance value is determined based on the device type of each metering device, the number of users affected, and the voltage level and criticality of the power grid node where it is located. The corresponding flood risk value is obtained based on the historical number of flood disasters, elevation data, and geographical location risk value of each metering device location; A comprehensive score is obtained based on the importance value and flood risk value of each metering device; Metering devices are selected in descending order of their comprehensive scores to determine the deployment locations of disaster-resistant metering devices.

2. The deployment method of the disaster-resistant metering device for flood disasters according to claim 1, characterized in that, The criticality is the electrical dielectric constant of the node where the metering device is located.

3. The deployment method of the disaster-resistant metering device for flood disasters according to claim 2, characterized in that, The method for obtaining the electrical betweenness of the target node includes: Obtain the comprehensive weight between any generating node and any load node. The comprehensive weight is the square root of the product of the sum of the rated output of the generating node and the peak load of the load node and the equivalent impedance between the nodes. Obtain the change in current at the target node caused by any power generation node transmitting a unit power to any load node; Traverse all power generation nodes and all load nodes in the target area power grid, and obtain the cumulative result of the product of all comprehensive weights and the corresponding current changes. The cumulative result is the electrical betweenness of the target node.

4. The deployment method of the disaster-resistant metering device for flood disasters according to claim 3, characterized in that, The overall weight between nodes is the sum of the total reactance values ​​of all lines between nodes.

5. The deployment method of the disaster-resistant metering device for flood disasters according to claim 3, characterized in that, The current change at the target node is the absolute value of the product of the quotient of the conjugate voltage difference between the generating node and the load node and the actual voltage difference, and the admittance of the target node.

6. The deployment method of the disaster-resistant metering device for flood disasters according to claim 1, characterized in that, The geographical location risk value is the shortest distance between the location of the metering device and the open body of water.

7. The deployment method of the disaster-resistant metering device for flood disasters according to claim 1, characterized in that, The method for obtaining the corresponding importance value based on the device type, number of affected users, voltage level and criticality of the power grid node for each metering device includes: normalizing the device type, number of affected users, node voltage level and node criticality respectively, and then weighting and summing them to obtain the importance value.

8. The deployment method of the disaster-resistant metering device for flood disasters according to claim 1, characterized in that, The method for obtaining the corresponding flood risk value based on the historical number of floods, elevation data, and geographical location risk value of each metering device location includes: normalizing the number of floods, elevation data, and geographical location risk value respectively, then weighting them separately and summing them to obtain the flood risk value.

9. The deployment method of the disaster-resistant metering device for flood disasters according to claim 1, characterized in that, The method for obtaining a comprehensive score based on the importance value and flood risk value of each metering device includes: weighting the importance value and flood risk value separately and then summing them to obtain the comprehensive score.

10. The method for deploying a disaster-resistant metering device for flood disasters according to any one of claims 7-9, characterized in that, When performing weighted summation, the weight of each indicator is determined by an expert system.