Method for determining the effect of regional environmental erosion on the service life of power transmission and distribution facilities
By simulating complex environmental conditions in an environmental simulation laboratory and combining publicly available data with historical decommissioning data, the accuracy problem of determining the lifespan of power grid facilities has been solved, providing a scientific lifespan assessment method to ensure the safe maintenance and reasonable depreciation of power grid facilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- STATE GRID ZHEJIANG ELECTRIC POWER CO LTD
- Filing Date
- 2022-10-12
- Publication Date
- 2026-05-05
AI Technical Summary
Existing technologies make it difficult to accurately determine the service life of power grid facilities under complex environmental conditions, especially in areas with low population density such as mountains, forests, and fields. Power grid facilities are affected by climate, environment, and the access of new energy sources, which can lead to damage to the facilities and make it impossible to accurately determine their depreciation period.
By simulating conditions such as acid rain, high humidity, maritime climate, lightning, typhoons, icing, and new energy access in an environmental simulation laboratory, and combining publicly available data and national standards, the degree of erosion of power grid facilities is recorded. Combined with historical scrapping data and economic life calculations, the actual service life of power grid facilities is determined.
It enables accurate lifespan determination of power grid facilities within the target area, provides a scientific basis for safe maintenance, and ensures reasonable depreciation management of power grid facilities.
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Figure BDA0003886903770000041
Abstract
Description
Technical Field
[0001] This invention relates to the field of power grid system technology, specifically a method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities. Background Technology
[0002] The entire system of substations and transmission and distribution lines of various voltages in a power system is called a power transmission and distribution network. It includes three units: substation, transmission, and distribution. The task of the power transmission and distribution network is to transmit and distribute electrical energy and change voltage.
[0003] Currently, power grids are widely deployed across various regions for power transmission and distribution, and power grid facilities are becoming increasingly numerous. However, power grids are generally laid in areas with low population density, such as mountains, forests, and fields. After prolonged use, power grids inevitably suffer damage due to the local environment, such as climate, environmental factors, and the integration of new energy sources. Given the current environment, it is essential to accurately determine the depreciation period of power grid fixed assets. Therefore, we propose a method for measuring the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities. This method can accurately determine the depreciation period of power grid facilities in a target area after environmental impact, and thus assess the service life of the power grid facilities. Summary of the Invention
[0004] The present invention aims to solve one of the technical problems existing in the prior art or related technologies.
[0005] Therefore, the technical solution adopted in this invention is as follows:
[0006] A method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities, comprising the following steps: S1: Considering a comprehensive corrosion environment analysis involving acid rain, high humidity atmospheric environment, and marine climate environment, multiple sets of power grid facility components are placed in an environmental simulation laboratory. The environmental simulation laboratory simulates "acid rain, high humidity atmospheric environment, and marine climate environment" at different degrees, and erodes the power grid facilities at different durations, recording the degree of erosion. The lifespan distribution of equipment assets under different corrosion environments is calculated based on publicly available data and relevant national standards. S2: Considering a typical natural disaster analysis involving lightning, typhoons, and icing, multiple sets of power grid facility components are placed in an environmental simulation laboratory. The environmental simulation laboratory simulates "lightning, typhoons, and icing" at different degrees, and erodes the power grid facilities at different durations, recording the degree of erosion. The lifespan reduction level is calculated based on publicly available data and disturbances. S3: Considering the superimposed impact of new energy access and power grid operation target pressure, the method further analyzes the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities. The analysis involves placing multiple sets of power grid facility components in a laboratory and connecting them to new energy sources and operational targets. The operation of the power grid facilities under different numbers of new energy sources and operational targets is simulated sequentially, and the operational status is recorded to analyze the changing trends of the impact of lifespan policies. S4: Using the distribution of power grid equipment assets, corrosion environment distribution, and natural disaster distribution as comprehensive level measurement parameters for the target area, a reference value for the actual lifespan of fixed assets in the target area after the comprehensive impact of technical lifespan is determined. S5: The obtained data is compared with the historical scrapping and operating years statistics of fixed assets in the power grid, comparing their operating states before scrapping. Historical scrapping data of fixed assets in the target area is collected and analyzed, and the suggested level after the impact of lifespan is used as a comparison reference. The economic lifespan calculation analysis of fixed assets in the power grid is used as a verification reference. Based on the actual historical operation and maintenance costs and other relevant data of the regional power grid, the economic lifespan level of typical fixed assets is calculated to verify and compare the conclusions of the technical lifespan analysis of fixed assets in the power grid, supporting a multi-dimensional consideration of the rationality of the research conclusions. S6: Based on the comprehensive impact measurement of technical lifespan as the basis for the suggested level analysis, and combined with historical scrapping year statistics and economic lifespan calculations, a verification analysis of the suggested level is conducted, proposing a comprehensive suggested level that takes into account the impact, statistics, and comparison.
[0007] In a preferred embodiment, the present invention can be further configured such that the acid rain, high humidity atmospheric environment, and marine climate environment in step S1 are sprayed into the environmental simulation laboratory by atomization, acid addition, humidification, and sea salt addition, respectively.
[0008] In a preferred embodiment, the present invention can be further configured such that: in the lightning, typhoon, and icing environment of step S2, operations are carried out around the power grid facilities using conductive wiring, wind turbines, and ice-making equipment, respectively.
[0009] In a preferred embodiment, the present invention can be further configured such that, in step S3, the access of new energy sources and the target pressure of grid operation are respectively connected to the grid facility to be measured through a circuit parallel connector.
[0010] In a preferred embodiment, the present invention can be further configured such that the calculation of the service life reduction level in step S2 uses the following formula:
[0011] Reduced service life = Equipment service life {Corrosion intensity coefficient * (Equipment life / Equipment service life * Test time)}.
[0012] In a preferred embodiment, the present invention may be further configured such that the condition testing in the environmental simulation laboratory is used to differentiate power grid facilities across environmental regions.
[0013] The above-described technical solution of the present invention has the following beneficial technical effects:
[0014] This invention is based on a multi-dimensional analysis of publicly available literature, field experimental data, asset history, scrapping certificates, and statistical data on the geographical and natural environment of the target area. It scientifically calculates and analyzes the service life of power transmission and distribution fixed assets, using the actual technical lifespan of power grid equipment as a reference, supplemented by economic lifespan calculations and statistical distribution of actual scrapping years as evidence. Finally, it provides recommendations on the depreciation period of power grid fixed assets in the target area by voltage level and equipment type. This can accurately determine the depreciation period of power grid facilities in the target area after environmental impact, facilitating the safe maintenance of the power grid. Detailed Implementation
[0015] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described herein can be combined with each other.
[0016] It should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the invention.
[0017] The following describes a method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities, provided by some embodiments of the present invention.
[0018] Example:
[0019] The present invention provides a method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities, characterized in that the method includes the following steps:
[0020] S1: Considering the comprehensive corrosion environment analysis of the superposition of acid rain, high humidity atmospheric environment and marine climate environment, multiple sets of power grid facilities components are placed in the environmental simulation laboratory. The environmental simulation laboratory simulates the "acid rain, high humidity atmospheric environment and marine climate environment" to different degrees, and erodes the power grid facilities at different durations. The degree of erosion is recorded, and the service life distribution of equipment assets under different corrosion environments is calculated by combining publicly available data and relevant national standards.
[0021] Based on the aging mechanism of power grid equipment and facilities and the actual experience of operation and maintenance of typical equipment, geographical atmospheric environmental factors such as acid rain, high humidity atmosphere and marine atmosphere have the greatest impact on the life of fixed assets. The impact of environmental corrosion is analyzed in depth as follows: (1) Acid rain situation in this region Acid rain refers to wet deposits with pH < 5.6. According to the monitoring of the Zhejiang Provincial Environmental Monitoring Center, the distribution of rainfall pH value in this region shows that the region is in a strong acid rain coverage area. The areas with acid rain occurrence frequency > 75% in the country are mainly distributed in the northern region. The area and degree of acid rain pollution are the highest in the country.
[0022] Studies have shown that when the relative humidity (RH) of the atmosphere is greater than 70%, metal corrosion intensifies in the atmospheric environment. Based on the monitoring data of the target area's environmental monitoring center at each lower-level monitoring station, regional environmental information was obtained, including the marine atmospheric environment of the target area. The marine atmospheric environment covers a wide area and is characterized by high humidity and high salinity. Under this environment, sea salt particles (Cl-) in the air are in a high concentration state for a long time and stably. Cl- has strong corrosiveness and can penetrate the rust film to directly corrode the metal substrate, causing the rust layer to lose its protective properties and damaging the surface passivation of metals such as zinc and aluminum.
[0023] Comprehensive analysis reveals that the target area possesses a variety of typical environmental characteristics, including a maritime climate, acid rain pollution from heavy industry, and hot and humid mountainous conditions. The diversity of corrosion sources in the natural environment easily creates localized, highly corrosive environments, severely impacting the corrosion of commonly used metals in power transmission and distribution equipment, such as carbon steel, zinc (galvanized steel), copper, aluminum, and iron. This leads to a significant corrosion trend in power grid equipment and materials, a sharp increase in corrosion rates, severely shortened equipment's effective service life, and accelerated equipment inspection, maintenance, depreciation, and replacement cycles.
[0024] Specifically, in step S1, the acid rain, high humidity atmospheric environment, and marine climate environment are sprayed into the environmental simulation laboratory using atomized acid, humidified, and sea salt methods, respectively. The condition testing in the environmental simulation laboratory is used to differentiate power grid facilities under cross-environmental conditions. The test information is recorded using a statistical table, as shown in the table below:
[0025]
[0026] In this table, a momentum is determined and several data points are recorded until the measured data reaches the erosion damage value. The remaining data are recorded in the same way.
[0027] S2: Considering the typical natural disaster analysis of lightning, typhoon and icing superposition, multiple sets of power grid facilities components are placed in an environmental simulation laboratory. The environmental simulation laboratory simulates "lightning, typhoon and icing" to different degrees, and erodes the power grid facilities at different durations. The degree of erosion is recorded, and the service life reduction level is calculated by combining publicly available data and disturbances.
[0028] Specifically, in step S2, the lightning, typhoon, and icing environment is addressed by using conductive wiring, wind turbines, and ice-making equipment to operate around the power grid facilities.
[0029] Furthermore, the following formula is used to calculate the service life reduction level in step S2:
[0030] Reduced service life = Equipment service life {Corrosion intensity coefficient * (Equipment life / Equipment service life * Test time)}.
[0031] S3: Considering the superimposed analysis driven by the pressure of new energy access and grid operation targets, multiple sets of grid facility components are placed in the laboratory and connected to new energy and operation targets. The operation of grid facilities under different numbers of new energy and operation targets is simulated in sequence, the operation status is recorded, and the trend of changes in the impact of service life policies is analyzed.
[0032] Specifically, in step S3, the new energy access and the grid operation target pressure are respectively connected to the grid facility to be measured through a circuit parallel connector.
[0033] S4: Using the distribution of power grid equipment assets, the distribution of corrosive environments, and the distribution of natural disasters as the comprehensive level of the target area, the calculation parameters are used to determine the reference value of the actual service life of the power grid fixed assets in the target area after the comprehensive impact of technical life;
[0034] S5: Compare the obtained data with the historical scrapping and operation years of power grid fixed assets, compare their operating status before scrapping, collect and analyze the historical scrapping data of power grid fixed assets in the target area, use the suggested level after the impact on lifespan as a comparison reference, use the economic lifespan calculation and analysis of power grid fixed assets as a verification reference, and use the actual historical operation and maintenance costs and other relevant data of the regional power grid to calculate the economic lifespan level of typical fixed assets, verify and compare the conclusions of the technical lifespan analysis of power grid fixed assets, and support the multi-dimensional consideration of the rationality of the research conclusions.
[0035] S6: Based on the comprehensive impact assessment of technical lifespan as the basis for the recommended level analysis, and combined with historical scrapping age statistics and economic life calculation, the recommended level is verified and analyzed, and a comprehensive recommended level that takes into account the impact, statistics and comparison is proposed.
[0036] The working principle and usage process of this invention are as follows: First, considering the comprehensive corrosion environment analysis of acid rain, high humidity atmospheric environment, and marine climate environment superimposed on the grid, multiple sets of power grid facility components are placed in an environmental simulation laboratory. The environmental simulation laboratory simulates the "acid rain, high humidity atmospheric environment, and marine climate environment" to different degrees, and erodes the power grid facilities at different durations, recording the degree of erosion. The lifespan distribution of equipment assets under different corrosion environments is calculated based on publicly available data and relevant national standards. Next, considering the typical natural disaster analysis of lightning, typhoons, and icing superimposed on the grid, multiple sets of power grid facility components are placed in an environmental simulation laboratory. The environmental simulation laboratory simulates the "lightning, typhoon, and icing environment" to different degrees, and erodes the power grid facilities at different durations, recording the degree of erosion. The lifespan reduction level is calculated based on publicly available data and disturbance calculations. Finally, considering the superimposed analysis of new energy access and grid operation target pressure drive, multiple sets of power grid facility components are placed in the laboratory, and new energy and operation targets are connected. The power grid facilities are simulated at different numbers of new energy sources. The study records the operational status of the power grid under the source and operational objectives, and analyzes the changing trends of the impact of the service life policy. Then, using the distribution of power grid equipment assets, corrosion environment, and natural disasters as statistical parameters for the comprehensive level determination of the target area, it determines the reference value of the actual service life of the power grid fixed assets in the target area after the comprehensive impact of technical life. Furthermore, it compares the obtained data with the historical scrapping and operation years statistics of power grid fixed assets, comparing their operating status before scrapping, collecting and analyzing historical scrapping data of power grid fixed assets in the target area, and using the suggested level after the impact of life as a comparison reference. It uses the economic life calculation analysis of power grid fixed assets as a verification reference, and calculates the economic life level of typical fixed assets based on the actual historical operation and maintenance costs of the regional power grid, verifying and comparing the conclusions of the power grid fixed asset technical life analysis, supporting the multi-dimensional consideration of the rationality of the research conclusions. Finally, using the comprehensive impact determination of technical life as the basis for the suggested level analysis, and combining historical scrapping year statistics and economic life calculation, it conducts a suggested level verification analysis, proposing a comprehensive suggested level that takes into account the impact, statistics, and comparison.
[0037] In the description of this specification, the terms "one embodiment," "some embodiments," "specific embodiment," etc., refer to a specific feature, structure, material, or characteristic described in connection with that embodiment or example, which is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.
[0038] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims
1. A method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities, characterized in that, The determination method includes the following steps: S1: Considering the comprehensive corrosion environment analysis of the superposition of acid rain, high humidity atmospheric environment and marine climate environment, multiple sets of power grid facilities components are placed in the environmental simulation laboratory. The environmental simulation laboratory simulates "acid rain, high humidity atmospheric environment and marine climate environment" to different degrees, and erodes the power grid facilities at different durations. The degree of erosion is recorded, and the service life distribution of equipment assets under different corrosion environments is calculated by combining publicly available data and relevant national standards. S2: Considering the typical natural disaster analysis of lightning, typhoon and icing superposition, multiple sets of power grid facilities and some components are placed in the environmental simulation laboratory. The environmental simulation laboratory simulates "lightning, typhoon and icing" at different degrees and erodes the power grid facilities at different durations. The degree of erosion is recorded and the service life reduction level is calculated by combining public data and disturbance. S3: Considering the superimposed analysis driven by the pressure of new energy access and grid operation targets, multiple sets of grid facility components are placed in the laboratory and connected to new energy and operation targets. The operation of grid facilities under different numbers of new energy and operation targets is simulated in sequence, the operation status is recorded, and the trend of changes in the impact of service life policies is analyzed. S4: Using the distribution of power grid equipment assets, the distribution of corrosive environments, and the distribution of natural disasters as the comprehensive level of the target area, the calculation parameters are used to determine the reference value of the actual service life of the power grid fixed assets in the target area after the comprehensive impact of technical life; S5: Compare the obtained data with the historical scrapping and operation years of power grid fixed assets, compare their operating status before scrapping, collect and analyze the historical scrapping data of power grid fixed assets in the target area, use the suggested level after the impact on lifespan as a comparison reference, use the economic lifespan calculation and analysis of power grid fixed assets as a verification reference, and use the real historical operation and maintenance costs and other relevant data of the regional power grid to calculate the economic lifespan level of typical fixed assets to verify and compare the conclusions of the technical lifespan analysis of power grid fixed assets, and support the multi-dimensional consideration of the rationality of the research conclusions. S6: Based on the comprehensive impact assessment of technical lifespan as the basis for the recommended level analysis, and combined with historical scrapping age statistics and economic life calculation, the recommended level is verified and analyzed, and a comprehensive recommended level that takes into account the impact, statistics and comparison is proposed.
2. The method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities according to claim 1, characterized in that, In step S1, the acid rain, high humidity atmospheric environment, and marine climate environment are sprayed into the environmental simulation laboratory using atomized acid, humidified, and sea salt methods, respectively.
3. The method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities according to claim 1, characterized in that, In step S2, the lightning, typhoon, and icing environment is addressed by using electrical wiring, wind turbines, and ice-making equipment to operate around the power grid facilities.
4. The method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities according to claim 1, characterized in that, In step S3, the access of new energy sources and the target pressure of grid operation are respectively connected to the grid facility to be measured through a circuit parallel connector.
5. The method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities according to claim 1, characterized in that, The following formula is used to calculate the service life reduction level in step S2: Reduced service life = Equipment service life {Corrosion intensity coefficient * (Equipment life / Equipment service life * Test time)}.
6. The method for determining the impact of regional environmental erosion on the lifespan of power grid transmission and distribution facilities according to claim 1, characterized in that, The environmental simulation laboratory's condition testing is used to differentiate power grid facilities across environmental regions.
Citation Information
Patent Citations
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