Power distribution equipment management device, power distribution equipment management method, and power distribution equipment management program

Abstract

To provide a power distribution facility management device, a power distribution facility management method and a power distribution facility management program for improving the safety and reliability of a power distribution facility.SOLUTION: A weather calculation part 12 performs weather calculation for calculating weather information according to time passage at each point of a calculation region on the basis of weather information at a specific time point. A sea salt scattering calculation part 13 calculates a sea salt scattering amount according to the time passage of each point on the basis of the weather information calculated by the weather calculation part 12. A sea salt adhesion amount calculation part 15 calculates the amount of sea salt adhering to a power distribution facility at each point on the basis of the weather information and the sea salt scattering amount according to the time passage at each point. An update facility determination part 16 specifies a threshold determination reference position and a threshold determination reference time on the basis of the increasing rate of the number of damage occurrences due to sea salt rapid contamination that occurs in the calculation region in the past, and with the amount of sea salt adhering to the power distribution facility at the specified threshold determination reference position and threshold determination reference time as a threshold, specifies a power distribution facility that exceeds the threshold as a power distribution facility having a high possibility that a sea salt damage occurs.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a power distribution equipment management device, a power distribution equipment management method, and a power distribution equipment management program. [Background technology]

[0002] When a typhoon hits, sea salt particles can be carried inland, and the sea salt adheres to service lines that supply low-voltage electricity to consumers, and to voltage current transformer (VCT) leads that supply high-voltage electricity to VCTs that supply high-voltage electricity from distribution lines. This can cause damage such as sparks in service lines and short circuits in VCT leads not only along the coast but also inland. In the following, service lines and distribution lines are referred to as power distribution equipment.

[0003] These damages become more likely to occur as the equipment deteriorates, so appropriate equipment renewal is necessary to prevent damage. Although it is conceivable that power distribution equipment will be renewed at a uniform cycle, it is more reasonable to prioritize renewal in areas where equipment damage due to rapid equipment contamination by sea salt is likely to occur. To do this, it is important to identify areas where damage due to rapid equipment contamination by sea salt is likely to occur and to understand the likelihood of equipment damage occurring in each area.

[0004] Technologies aimed at resolving the issues the electric power industry faces due to weather and sea salt include a weather forecast analysis system used for daily weather forecasts and analysis of low pressure systems such as typhoons, wind condition sea-salt particle transport analysis technology used to evaluate the cumulative amount of sea salt pollution with the aim of preventing deterioration of power equipment due to sea salt corrosion, and regional sea-salt analysis technology used to evaluate the rapid pollution of sea salt caused by the passage of typhoons and low pressure systems.

[0005] By using regional sea-salt analysis technology, it is possible to obtain the spatial distribution of sea-salt concentration according to the weather conditions at every moment. Therefore, by combining the weather forecast analysis system with regional sea-salt analysis technology, it is believed that it will be possible to analyze and predict damage caused by rapid sea-salt pollution during the passage of typhoons and explosive cyclones.

[0006] On the other hand, by using sea-salt particle transport analysis technology, it is possible to estimate the sea-salt concentration dispersed inland from the coastline, taking into account the effects of topographical undulations and land use such as rivers, with a horizontal grid spacing of 200m to 400m. With sea-salt particle transport analysis technology, the vertical distribution of sea-salt concentration at the coastline according to the wind speed at sea and the fetch distance is given, and the steady-state sea-salt concentration in that state is calculated. By using statistical wind condition data for the evaluation area as the input wind, it is possible to statistically show the sea-salt concentration dispersed in that area. By mapping the results of this analysis, it is possible to distinguish between areas that tend to have large amounts of sea salt dispersed and areas that do not.

[0007] As a technique for measuring salt adhesion, there is a conventional technique for determining the salt adhesion density of insulators by using one of the emission spectra with different emission intensities received when the surface of an insulator is irradiated with pulsed laser light (Patent Document 1).There is also a conventional technique for measuring the adhesion density of deposits such as salt adhered to an insulator by dividing the surface of the insulator into multiple annular areas and detecting the emission intensity of plasma emission (Patent Document 2). [Prior art documents] [Patent documents]

[0008] [Patent Document 1] JP 2017-198593 A [Patent Document 2] JP 2013-15404 A Summary of the Invention [Problem to be solved by the invention]

[0009] However, in the technology that combines the weather forecast analysis system and the regional sea-salt analysis technology, the horizontal grid resolution is on the order of several kilometers, so it is difficult to express the influence of terrain with a width of several hundred meters, such as a river. On the other hand, in the case of the sea-salt particle transport analysis technology, the steady sea-salt concentration in a certain area is obtained, but it is difficult to consider the influence of precipitation on the sea-salt concentration. Therefore, in either case, it is difficult to accurately analyze and predict the rapid sea-salt contamination of power distribution equipment. As a result, it is difficult to appropriately replace power distribution equipment before sea-salt damage occurs, and the safety and reliability of the power distribution equipment is reduced.

[0010] In addition, the technique of determining the salt deposition density using the emission spectrum of different light intensities from the insulator, and the technique of dividing the surface into annular areas and detecting the intensity of plasma light emission, use actual measurement values, making it difficult to estimate sea salt damage through simulation.

[0011] The disclosed technology has been made in consideration of the above, and aims to provide a power distribution equipment management device, a power distribution equipment management method, and a power distribution equipment management program that improve the safety and reliability of power distribution equipment. [Means for solving the problem]

[0012] In one aspect of the power distribution equipment management device, power distribution equipment management method, and power distribution equipment management program disclosed in the present application, a weather calculation unit performs weather calculations to obtain weather information corresponding to the passage of time at each point in a calculation domain based on weather information at a specific time. A sea salt dispersion calculation unit calculates an amount of sea salt dispersion corresponding to the passage of time at each point based on the weather information obtained by the weather calculation unit. A sea salt adhesion amount calculation unit calculates an amount of sea salt adhesion to the power distribution equipment at each point based on the weather conditions and the amount of sea salt dispersion corresponding to the passage of time at each point. An update equipment determination unit sets a threshold value for the amount of sea salt adhesion to the power distribution equipment at a position and time when damage due to rapid sea salt pollution occurred in the calculation domain, where the increase rate of the number of damages due to rapid sea salt pollution that have occurred in the past is equal to or greater than a predetermined value, and identifies power distribution equipment that exceeds the threshold value as power distribution equipment that is likely to suffer sea salt damage. Effect of the Invention

[0013] In one aspect, the present invention can improve the safety and reliability of power distribution facilities by analyzing and predicting rapid sea-salt pollution of power distribution facilities with high accuracy. [Brief description of the drawings]

[0014] [Figure 1] FIG. 1 is a block diagram of a power distribution facility management device. [Diagram 2] FIG. 2 is a diagram illustrating a calculation domain of the meteorological calculation according to the embodiment. [Diagram 3] FIG. 3 shows particle conditions and wind speed conditions. [Figure 4] Figure 4 shows the cumulative frequency distribution of sea salt adhesion when sea salt damage occurs after a typhoon passes. [Diagram 5] FIG. 5 is a flowchart of a process for determining a distribution facility to be updated. [Figure 6] FIG. 6 is a hardware configuration diagram of the power distribution facility management device. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0015] Hereinafter, examples of the power distribution equipment management device, the power distribution equipment management method, and the power distribution equipment management program disclosed in the present application will be described in detail with reference to the drawings. Note that the power distribution equipment management device, the power distribution equipment management method, and the power distribution equipment management program disclosed in the present application are not limited to the following examples. EXAMPLES

[0016] 1 is a block diagram of a power distribution equipment management device. The power distribution equipment management device 1 includes a data acquisition unit 11, a meteorological calculation unit 12, a sea salt dispersion calculation unit 13, an average amount of airborne sea salt calculation unit 14, a sea salt adhesion calculation unit 15, and an update equipment determination unit 16.

[0017] The data acquisition unit 11 acquires the initial values ​​and boundary values ​​of weather conditions, and sea surface temperature information from an external weather information providing system 2. Then, the data acquisition unit 11 outputs the sea surface temperature information, and the initial values ​​and boundary values ​​of the weather conditions to the weather calculation unit 12. The point in time when the initial values ​​of the weather conditions are measured is an example of a "specific point in time."

[0018] The data acquisition unit 11 also acquires meteorological data including coastal marine meteorological data from the external weather information providing system 2. The data acquisition unit 11 also acquires meteorological statistical data from a past weather and climate reproduction database held by the external weather information providing system 2. The data acquisition unit 11 then outputs the acquired meteorological data and meteorological statistical data to the average airborne sea salt amount calculation unit 14.

[0019] 2 is a diagram showing a calculation region for meteorological calculation according to the embodiment. In this embodiment, the meteorological calculation unit 12 performs meteorological calculations using a region 101 in FIG. 2 as a calculation region.

[0020] The weather calculation unit 12 has topographical elevation data and land use classification data in advance. The weather calculation unit 12 also receives inputs of sea surface temperature information, and initial values ​​and boundary values ​​of weather conditions from the data acquisition unit 11.

[0021] Using the acquired information, the weather calculation unit 12 performs weather calculations for the calculation area when the typhoon passes through, and obtains weather information according to the passage of time when the typhoon passes through. In this way, the weather calculation unit 12 obtains weather information including ground wind speed and precipitation intensity at each point in the calculation area. The weather calculation unit 12 then outputs the obtained weather information to the sea salt dispersion calculation unit 13 and the sea salt adhesion amount calculation unit 15.

[0022] The sea salt dispersion calculation unit 13 has topographic elevation data and land use classification data in advance. The sea salt dispersion calculation unit 13 also receives meteorological information input from the weather calculation unit 12 periodically, for example at 10 minute intervals. The sea salt dispersion calculation unit 13 according to this embodiment has a calculation area of ​​the area 102 in Fig. 2. The grid resolution of the sea salt dispersion calculation unit 13 is a horizontal 1 km resolution for a 200 km square represented by the area 103 in Fig. 2, and the horizontal resolution becomes coarser as it moves away from that area.

[0023] Using the acquired information, the sea salt dispersion calculation unit 13 performs a sea salt dispersion calculation when the typhoon passes through the calculation area. In this way, the sea salt dispersion calculation unit 13 calculates the spatial distribution of sea salt concentration in the air and precipitation at each time. This makes it possible to predict the surface distribution and time change of the sea salt concentration in the air when the typhoon passes through. The sea salt dispersion calculation unit 13 outputs information on the calculated spatial distribution of sea salt concentration in the air and precipitation at each time to the sea salt adhesion amount calculation unit 15.

[0024] The sea salt deposition amount calculation unit 15 receives meteorological information as an input from the weather calculation unit 12. In addition, the sea salt deposition amount calculation unit 15 receives information on the spatial distribution of sea salt concentrations in the air and precipitation at each time from the sea salt dispersion calculation unit 13.

[0025] Here, using the airborne sea salt concentration obtained from the sea salt dispersion calculation and the wind speed and precipitation intensity obtained from the meteorological calculation, it is possible to estimate the amount of sea salt that will adhere to the distribution equipment using the following equation (1).

[0026]

number

[0027] Here, W t represents the amount of sea salt adhesion at time t. Δt is the time interval for estimating the amount of sea salt adhesion on the surface of the power distribution equipment. In this embodiment, Δt is set to 10 minutes.

[0028] Additionally, u represents the ground wind speed. Additionally, p represents the precipitation intensity (mm / h). Additionally, C represents the airborne Na+ concentration. The sea salt adhesion amount calculation unit 15 obtains the values ​​of u and p from the meteorological information obtained from the weather calculation unit 12. Additionally, the sea salt adhesion amount calculation unit 15 uses the airborne sea salt concentration, which is the spatial distribution of the sea salt concentration in the air and precipitation obtained from the sea salt dispersion calculation unit 13, as the value of C.

[0029] Furthermore, E represents the collision efficiency. The collision efficiency here is a value indicating the rate at which sea salt particles collide with the power distribution equipment. Furthermore, γ represents the rain wash-off efficiency. γ is a modeled value based on quantified information on the rain wash-off effect of insulators.

[0030] However, the time and space changes in the amount of sea salt adhering to the power distribution equipment estimated using formula (1) do not correspond accurately to the date and location of the actual damage. The reason for this is that the rain wash effect in formula (1) is based on the rain wash effect of the insulators, not the rain wash effect of the service lines, so it may be overestimated compared to the actual situation.

[0031] Therefore, the sea salt adhesion amount calculation unit 15 uses a calculation formula for the amount of sea salt adhesion to the power distribution equipment in which the rain wash effect of the sea salt adhesion amount is corrected as follows: The sea salt adhesion amount calculation unit 15 recalculates the amount of seawater adhesion using the following formula (2) to calculate the amount of sea salt adhesion using the rain wash effect corresponding to the actual damage situation.

[0032]

number

[0033] Here, γ', which indicates the strength of the rain wash effect, is γ'=0.03p, γ'=0.1p, γ'=0.3p, γ'=0.01p 2, γ'=0.03p 2 , γ'=0.1p 2 When comparing the change in the amount of sea salt adhesion in each case with the date and location of damage occurrence, the following results are obtained. γ'=0.03p is an equation set up to be consistent with the experimental data on the rain wash effect on insulators, and is equivalent in strength to the rain wash effect on the bottom surface of the insulator. γ'=0.3p is an equation set up to be consistent with the experimental data on the rain wash effect on insulators, and is equivalent in strength to the rain wash effect on the top surface of the insulator. Moreover, γ'=0.1p is an equation for the strength of the rain wash effect that is intermediate between that of the bottom surface and the top surface of the insulator. Also, to take into account the case where the rain wash effect depends on the intensity of rainfall, the coefficient γ', which indicates the strength of the rain wash effect, is set to an equation of the square of the precipitation intensity, γ'=0.01p 2 , γ'=0.03p 2 , γ'=0.1p 2 will also be taken into consideration.

[0034] γ'=0.03p or γ'=0.01p 2 In this case, the rain wash effect is weaker than the actual damage. 2 In the case of γ'=0.1p or γ'=0.03p, the rain wash effect is more pronounced than the actual damage. 2 In this case, the rain wash effect roughly corresponds to the damage. 2 The amount of sea salt deposition is calculated using

[0035] The sea salt adhesion calculation unit 15 estimates the amount of sea salt adhering to the power distribution equipment for each point in the calculation area. Then, the sea salt adhesion calculation unit 15 outputs the estimation result of the amount of sea salt adhering to the power distribution equipment at each point to the update equipment determination unit 17.

[0036] The average airborne sea salt amount calculation unit 14 acquires meteorological data and meteorological statistical data as input from the data acquisition unit 11. The average airborne sea salt amount calculation unit 14 creates an average airborne sea salt amount map by combining computational fluid analysis that enables reproduction of non-uniformity of the ground surface conditions with statistical procedures that efficiently evaluate the long-term accumulated sea salt amount.

[0037] The average airborne sea salt volume map is a spatial distribution data of the annual average airborne sea salt volume with a horizontal grid resolution of 1 km for a specified area. The average airborne sea salt volume map makes it possible to distinguish areas where sea salt particles tend to scatter in large amounts from areas where they do not. Sea salt adhesion to distribution equipment accelerates the corrosion deterioration rate of the distribution equipment. Sea salt damage such as sparking events in service lines and short circuits in VCT leads is also considered to be caused by the deterioration of distribution equipment. Therefore, the average airborne sea salt volume map can be a reference for making decisions on the maintenance and operation of distribution equipment from the perspective of determining regional differences in the rate of equipment corrosion deterioration. Furthermore, since there is a similarity in the spatial distribution of the annual average airborne sea salt volume and the average airborne sea salt volume only during strong winds, the average airborne sea salt volume map can also be a certain indicator of sea salt damage caused by strong winds.

[0038] The average airborne sea salt calculation unit 14 uses the atmospheric continuity equation, the coupled quantity conservation equation, and the transport equation of sea-salt particle concentration expressed in a general curvilinear coordinate system as basic equations for the computational fluid analysis. The average airborne sea salt calculation unit 14 also sets the inflow boundary on the sea surface, and uses a wind speed distribution based on the logarithmic law, and a sea-salt particle concentration vertical distribution in the form of a logarithmic function according to the sea surface wind speed and the fetch distance, which is the length of the sea area. The average airborne sea salt calculation unit 14 also uses wind speed and particle deposition model equations determined from the logarithmic law that takes into account the ground surface roughness at the ground surface boundary.

[0039] Then, the average airborne sea salt amount calculation unit 14 estimates the cumulative wide-area distribution of airborne salt by the following statistical procedure. First, the average airborne sea salt amount calculation unit 14 performs a numerical analysis of wind and sea salt particle transport for each wind direction, wind speed, and particle classified into multiple classes using meteorological data. Next, the average airborne sea salt amount calculation unit 14 acquires airflow statistical data of multiple points on the sea at a distance of about 10 km from the shore from a meteorological model. Then, the average airborne sea salt amount calculation unit 14 estimates the occurrence frequency of the wind direction and wind speed at an arbitrary ground position from the airflow statistical data of multiple points on the sea. Next, the average airborne sea salt amount calculation unit 14 calculates the period average value of the airborne sea salt amount by weighting and integrating the occurrence frequency of the wind direction and wind speed on the analysis results by wind direction, wind speed, and particle. Specifically, the average airborne sea salt amount calculation unit 14 calculates the period average value of the airborne sea salt amount using the following formula (3).

[0040]

number

[0041] F mean represents the period average amount of airborne sea salt. Airborne sea salt is the particle advection flux, which is the mass of sea salt particles passing through a unit area of ​​a surface perpendicular to the wind direction and per unit time (advection flux, a quantity expressed as the product of concentration and wind speed). The amount of airborne sea salt is correlated with the amount of sea salt adhering to objects. Additionally, U represents wind speed, C represents particle mass concentration, CP represents particle path class, CV represents wind speed class, and WD represents the analyzed wind direction.

[0042] Then, the average airborne sea salt amount calculation unit 14 generates an average airborne sea salt amount map using the calculated period average value of the airborne sea salt amount. The average airborne sea salt amount map has a horizontal grid interval of 1 km near the ground surface and a vertical grid interval of 50 m. Since the particle transport process depends on the particle size and wind speed, the average airborne sea salt amount calculation unit 14 classifies particles into three classes and wind speed into five classes as shown in FIG. 3 to generate the average airborne sea salt amount map. FIG. 3 is a diagram showing particle conditions and wind speed conditions. The average airborne sea salt amount calculation unit 14 then outputs the created average airborne sea salt amount map to the update equipment determination unit 16.

[0043] The renewal facility determination unit 16 has a database in which environmental information and the installation status of the power distribution facilities at each point are registered. The environmental information includes, for example, information on the land use status, altitude, and slope for each utility pole installed at each point. In addition, the installation status of the power distribution facilities includes information such as the number of service lines and the age of the service lines for each utility pole installed at each point.

[0044] The renewal equipment determination unit 16 also has a threshold value for the amount of sea salt adhesion for identifying power distribution equipment that may cause sea salt damage. Here, the threshold value for the amount of sea salt adhesion that may cause sea salt damage will be described. At the time and place where sea salt damage is thought to have occurred on the service line after the passage of a typhoon, the amount of sea salt adhesion at the time when minute precipitation that induces the occurrence of damage was observed is extracted in the following procedure. First, a time series distribution of the amount of sea salt adhesion at each point where service line damage is reported is obtained. Next, since the damage to the service line occurs in a time period earlier than the time when it is reported, the amount of sea salt adhesion is extracted in the time period when the service line damage is reported from 6 hours before the time when the service line damage is reported. Since damage due to rapid sea salt contamination is reported to occur when the precipitation intensity is 2 mm / h or less, the amount of sea salt adhesion is extracted at the time when precipitation occurs in the same time period but the precipitation intensity is 2 mm / h or less, and the maximum value at each point is obtained. For the evaluation of the rain wash effect, γ'=0.1p or γ'=0.03p 2 The cumulative frequency distribution of the amount of sea salt deposited at the time of damage occurrence at each point extracted by the above procedure is calculated from the distribution of the amount of sea salt deposited after the typhoon has passed, which is estimated using the cumulative frequency distribution of the amount of sea salt deposited at the time of damage occurrence at each point extracted by the above procedure. The cumulative frequency distribution of the amount of sea salt deposited corresponds to the number of damage occurrences.

[0045] FIG. 4 is a diagram showing the cumulative frequency distribution of sea salt adhesion when sea salt damage occurs after a typhoon passes. In both graphs 121 and 122, the vertical axis shows the cumulative frequency distribution, and the horizontal axis shows the amount of sea salt adhesion. Line 123 shows the results when γ'=0.1p is used to evaluate the rain wash effect, and line 124 shows the results when γ'=0.03p is used to evaluate the rain wash effect. 2 As shown in Fig. 4, no matter which rain wash effect evaluation formula was used, the amount of sea salt adhesion was 6 × 10-4 mg / cm 2 It can be seen that the cumulative damage occurrence rate increases rapidly when the amount of sea salt adhesion exceeds 6×10 -4 mg / cm 2 When the amount of sea salt deposition exceeds 6×10, no significant change in the cumulative damage occurrence rate is observed. -4 mg / cm 2 It can be seen that the occurrence of damage does not depend on the amount of sea salt adhesion when the amount of sea salt adhesion exceeds 6 × 10 -4 m / cm 2 If the number of failures exceeds 6×10, it is possible that damage to the drop line may occur. -4 mg / cm 2 is set as a threshold value for the amount of sea salt adhesion. That is, the renewal equipment determination unit 16 specifies a threshold determination reference position and a threshold determination reference time based on the rate of increase in the number of damage occurrences due to rapid sea salt pollution that occurred in the past, sets the amount of sea salt adhesion to the distribution equipment at the specified threshold determination reference position and threshold determination reference time as a threshold, and specifies distribution equipment that exceeds the threshold as distribution equipment that is likely to suffer sea salt damage. Here, the position and time corresponding to the point where the cumulative frequency distribution increases rapidly in Fig. 4 are an example of the threshold determination reference position and threshold determination reference time.

[0046] The renewal equipment determination unit 16 receives an input of the estimated amount of sea salt adhesion to the power distribution equipment at each point from the sea salt adhesion calculation unit 15. The renewal equipment determination unit 16 also receives an input of the average airborne sea salt amount map from the average airborne sea salt amount calculation unit 14.

[0047] The renewal equipment determination unit 16 then uses the amount of sea salt attached to the power distribution equipment at each point, the information on the power distribution equipment, and the information on the land use state, altitude, and slope to identify the power distribution equipment that is likely to suffer from sea salt damage. The procedure for determining each factor is described below.

[0048] Here, the damage rate generally increases with the number of service lines per utility pole. The more service lines connected to one utility pole, the more exposed they are, which is considered to result in a higher probability of damage, and this result is considered to be generalizable. Therefore, the renewal equipment decision unit 16 determines that distribution equipment on utility poles with a large number of service lines is distribution equipment that is likely to suffer sea salt damage.

[0049] In addition, there is a general tendency for the damage rate to increase as the average age of the service lines installed on a single utility pole increases. In particular, the damage rate tends to increase when the average age exceeds 10 years. Therefore, the renewal equipment decision unit 16 determines that the power distribution equipment on the utility pole with an average age of 10 years or more is the power distribution equipment that is likely to suffer from sea salt damage.

[0050] Also, there is a high correlation between the amount of sea salt adhesion at the time the damage was reported and the maximum amount of sea salt adhesion during the typhoon's passage. On the other hand, there is no significant correlation between the maximum amount of sea salt adhesion and the damage rate. From this, it can be said that when the amount of sea salt adhesion due to rapid contamination exceeds a certain threshold, the risk of a spark accident occurring increases equally regardless of the amount of adhesion. Therefore, the renewal equipment decision unit 16 sets the threshold value of the amount of sea salt adhesion, which is 6×10 -4 m / cm 2 Power distribution equipment with sea salt adhesion of this amount or more is determined to be highly likely to suffer from sea salt damage.

[0051] It is also clear that damage is concentrated on building sites. On the other hand, it can be said that in forested areas, even if there are many service lines and utility poles, the damage rate is lower than in building sites. In other words, it is considered that forested areas have the effect of suppressing sea salt from adhering to service lines due to trees. Therefore, the renewal equipment decision unit 16 determines that power distribution equipment in a location where the land use is a residential area in an urban area is power distribution equipment that is highly likely to suffer from sea salt damage.

[0052] Moreover, damage occurs almost in proportion to the number of utility pole facilities, regardless of altitude, and altitudes with high damage rates vary widely from point to point. From these results, it can be considered that there is no significant correlation between altitude and damage. There is also an almost proportional relationship between the number of utility poles and the number of damaged locations, and damage tends to be concentrated in gently sloping plains where there are many utility poles. This result indicates that the correlation between slope and damage is not very high. Therefore, the renewal equipment decision unit 16 in this embodiment makes a decision excluding altitude and slope as factors for determining the possibility of sea salt damage.

[0053] For example, the equipment renewal decision unit 16 converts the number of service lines per utility pole, the age of the service lines, the amount of sea salt adhesion, and the land use into values ​​that serve as indices for determining the occurrence of sea salt damage. The equipment renewal decision unit 16 then calculates the sum of the indices for each piece of power distribution equipment, ranks the power distribution equipment in descending order of the calculated value, and identifies a predetermined number of pieces of power distribution equipment that rank high as power distribution equipment that is likely to suffer from sea salt damage.

[0054] Furthermore, the update equipment determination unit 16 identifies areas where a large amount of sea salt particles tend to scatter from the average airborne sea salt amount map. Then, the update equipment determination unit 16 determines the distribution equipment included in the identified area as the distribution equipment to be updated from among the distribution equipment identified as the distribution equipment with a high possibility of sea salt damage. After that, the update equipment determination unit 16 transmits information on the distribution equipment determined as the distribution equipment to be updated to the manager's terminal or the like, and notifies the manager of the distribution equipment that should be updated.

[0055] Next, a flow of a process of determining distribution equipment to be updated by the distribution equipment management device 1 according to this embodiment will be described with reference to Fig. 5. Fig. 5 is a flowchart of the process of determining distribution equipment to be updated.

[0056] The data acquisition unit 11 acquires sea surface temperature information, and initial and boundary values ​​of weather conditions from the external weather information providing system 2. The data acquisition unit 11 also acquires weather data and weather statistical data including coastal marine weather data from the external weather information providing system 2 (step S1). Then, the data acquisition unit 11 outputs the sea surface temperature information, and the initial and boundary values ​​of the weather conditions to the weather calculation unit 12. The data acquisition unit 11 also outputs the acquired weather data and weather statistical data to the average airborne sea salt amount calculation unit 14.

[0057] The weather calculation unit 12 receives inputs of sea surface temperature information, and initial and boundary values ​​of weather conditions from the data acquisition unit 11. Then, using the acquired information, the weather calculation unit 12 performs weather calculations for the calculation area when the typhoon passes through, and obtains weather information for the typhoon's passage (step S2). After that, the weather calculation unit 12 outputs the obtained weather information to the sea salt dispersion calculation unit 13 and the sea salt adhesion calculation unit 15.

[0058] The sea salt dispersion calculation unit 13 periodically receives meteorological information from the weather calculation unit 12. Then, using the acquired information, the sea salt dispersion calculation unit 13 performs sea salt dispersion calculation when the typhoon passes through the calculation area, and acquires information on the spatial distribution of sea salt concentration in the air and precipitation at each time (step S3). After that, the sea salt dispersion calculation unit 13 outputs the calculated information on the spatial distribution of sea salt concentration in the air and precipitation at each time to the sea salt adhesion amount calculation unit 15.

[0059] The sea salt adhesion amount calculation unit 15 receives meteorological information as an input from the weather calculation unit 12. The sea salt adhesion amount calculation unit 15 also receives information on the spatial distribution of sea salt concentrations in the air and precipitation at each time from the sea salt dispersion calculation unit 13. The sea salt adhesion amount calculation unit 15 then calculates the amount of sea salt adhesion on the power distribution equipment using equation (2) in which the rain wash effect on the amount of sea salt adhesion is corrected (step S4). The sea salt adhesion amount calculation unit 15 then outputs the estimated results of the amount of sea salt adhesion on the power distribution equipment at each point to the update equipment determination unit 17.

[0060] The average airborne sea salt amount calculation unit 14 acquires the input of meteorological data and meteorological statistical data from the data acquisition unit 11. The average airborne sea salt amount calculation unit 14 creates an average airborne sea salt amount map by combining computational fluid analysis and statistical procedures (step S5). After that, the average airborne sea salt amount calculation unit 14 outputs the created average airborne sea salt amount map to the update facility determination unit 16.

[0061] The updating equipment determination unit 16 receives an input of an estimated result of the amount of sea salt adhesion to the power distribution equipment at each point from the sea salt adhesion calculation unit 15. The updating equipment determination unit 16 also receives an input of an average airborne sea salt amount map from the average airborne sea salt calculation unit 14. The updating equipment determination unit 16 then identifies power distribution equipment that is likely to suffer sea salt damage using the amount of sea salt adhesion to the power distribution equipment at each point, information on the power distribution equipment, and information on the land use state. Next, an area that tends to be scattered in large amounts of sea salt particles is identified from the average airborne sea salt amount map. The updating equipment determination unit 16 then determines the power distribution equipment included in the identified area as the power distribution equipment to be updated from among the power distribution equipment identified as the power distribution equipment that is likely to suffer sea salt damage (step S6).

[0062] Thereafter, the update facility determination unit 16 transmits information about the power distribution facilities determined as the power distribution facilities to be updated to a terminal of the manager or the like, and notifies the manager of the power distribution facilities that should be updated (step S7).

[0063] As described above, the power distribution equipment management device according to this embodiment executes meteorological calculations to reproduce the typhoon path and obtains meteorological information when the typhoon passes. Next, the power distribution equipment management device performs sea salt dispersion calculations using the obtained meteorological information when the typhoon passes, and obtains the spatial distribution of sea salt concentration in the air and precipitation when the typhoon passes. After that, based on the meteorological information and the results of the sea salt dispersion calculation, the power distribution equipment management device estimates the amount of sea salt adhesion to the power distribution equipment using a calculation formula for the amount of sea salt adhesion that corrects the rain wash effect. Furthermore, the power distribution equipment management device generates an average airborne sea salt amount map to distinguish between areas that tend to have a large amount of sea salt particles dispersed and areas that do not, and determines and notifies the power distribution equipment to be updated using the amount of sea salt adhesion, information on the power distribution equipment, and information on the land use state.

[0064] This allows the weather conditions at the time of the typhoon's passage to be accurately reproduced, and allows calculation of the amount of sea salt adhesion that accurately corresponds to the actual damage, making it possible to identify power distribution equipment that is likely to suffer sea salt damage. Furthermore, by taking into account information on areas where large amounts of sea salt particles are scattered, it becomes possible to more accurately identify power distribution equipment that is more likely to suffer sea salt damage. In this way, it becomes possible to analyze and predict rapid sea salt contamination of power distribution equipment with high accuracy. Therefore, it is possible to update power distribution equipment before sea salt damage occurs, making it possible to improve the safety and reliability of the power distribution equipment.

[0065] In addition, since the power distribution department of an electric utility company also has limited manpower, it is difficult to comprehensively update all of the power distribution equipment. Therefore, by using the power distribution equipment management device according to the present embodiment to determine the power distribution equipment to be updated by prioritizing the power distribution equipment, it is possible to appropriately manage the power distribution equipment even with limited manpower, and to make effective capital investments.

[0066] (Hardware configuration) Fig. 6 is a hardware configuration diagram of a power distribution equipment management device. The power distribution equipment management device 1 described in each of the above embodiments can be realized, for example, by a computer 90 shown in Fig. 6. The computer 90 has a processor 91, a memory 92, a storage device 93, an input device 94, an output device 95, and a communication device 96. The processor 91 is connected to the memory 92, the storage device 93, the input device 94, the output device 95, and the communication device 96 via a bus.

[0067] The input device 94 is, for example, a keyboard, a mouse, etc. In each embodiment, the data acquisition unit 11 acquires data from the external weather information providing system 2, but the user may input data using the input device 94.

[0068] The output device 95 is, for example, a monitor, a printer, etc. The user may use the output device 95 to check the notification of the power distribution equipment that is recommended to be updated.

[0069] The communication device 96 has an interface for connecting to the weather information providing system 2, etc. The communication device 96 controls communication between the processor 91 and external devices.

[0070] The storage device 93 is an auxiliary storage device, such as a hard disk or a solid state drive (SSD). The storage device 93 stores various programs. For example, the storage device 93 stores various programs including programs for realizing the functions of the data acquisition unit 11, the weather calculation unit 12, the sea salt dispersion calculation unit 13, the average airborne sea salt amount calculation unit 14, the sea salt adhesion amount calculation unit 15, and the renewal equipment determination unit 16 illustrated in FIG. 1.

[0071] The processor 91 reads out various programs from the storage device 93, and deploys and executes them in the memory 92. As a result, the processor 91 and the memory 92 realize the functions of the data acquisition unit 11, the weather calculation unit 12, the sea salt dispersion calculation unit 13, the average airborne sea salt amount calculation unit 14, the sea salt adhesion amount calculation unit 15, and the renewal equipment determination unit 16 illustrated in FIG. [Explanation of symbols]

[0072] 1 Power distribution equipment management device 11 Data Acquisition Section 12 Weather Calculation Department 13 Sea Salt Scattering Calculation Section 14 Average airborne sea salt amount calculation section 15 Sea salt deposition calculation section 16 Renewal Equipment Determination Department

Claims

1. a meteorological calculation unit that performs meteorological calculations to obtain meteorological information according to the passage of time at each point in a calculation area based on meteorological information at a specific time point; a sea salt dispersion calculation unit that calculates the amount of sea salt dispersion at each of the locations according to the time lapse based on the meteorological information obtained by the meteorological calculation unit; a sea salt deposition amount calculation unit that calculates an amount of sea salt deposition on the power distribution equipment at each of the points based on the meteorological information and the amount of sea salt dispersion according to the passage of time at each of the points; an update equipment determination unit that identifies a threshold determination reference position and a threshold determination reference time based on an increase rate of the number of damage occurrences due to rapid sea salt pollution that have occurred in the past in the calculation area, sets the amount of sea salt adhesion to the distribution equipment at the identified threshold determination reference position and threshold determination reference time as a threshold, and identifies distribution equipment that exceeds the threshold as distribution equipment that is likely to suffer from sea salt damage; A power distribution facility management device comprising:

2. The power distribution equipment management device according to claim 1, characterized in that the sea salt adhesion amount calculation unit determines the rain wash effect on the power distribution equipment at each of the points from the meteorological information, and calculates the amount of sea salt adhesion based on the rain wash effect.

3. An average airborne sea salt amount calculation unit is further provided for calculating an average airborne sea salt amount representing a spatial distribution of a concentration of sea salt at each of the points based on past statistical meteorological data, The power distribution equipment management device according to claim 1 or 2, wherein the update equipment determination unit identifies areas in the calculation area where sea salt is likely to fly in based on the average amount of flying sea salt, and identifies power distribution equipment that is likely to suffer from sea salt damage based on the identified areas.

4. The power distribution equipment management device according to any one of claims 1 to 3, wherein the update equipment determination unit identifies power distribution equipment that is highly likely to suffer from sea salt damage based on environmental information and the installation status of the power distribution equipment at each location.

5. Based on the weather information at a specific time, weather calculations are performed to obtain weather information over time at each point in the calculation area. Calculating the amount of sea salt dispersion at each of the locations according to the time lapse based on the obtained meteorological information; Calculating the amount of sea salt adhering to the power distribution equipment at each of the points based on the meteorological information and the amount of sea salt dispersion according to the passage of time at each of the points; a threshold value is set to an amount of sea salt adhesion to the power distribution equipment at a position and time when damage caused by rapid sea salt pollution occurred, where an increase rate of the number of damages caused by rapid sea salt pollution that have occurred in the past in the calculation domain is equal to or greater than a predetermined value; The power distribution facility that exceeds the threshold is identified as a power distribution facility that is highly likely to suffer from sea salt damage. A power distribution facility management method comprising:

6. Based on the weather information at a specific time, weather calculations are performed to obtain weather information over time at each point in the calculation area. Calculating the amount of sea salt dispersion at each of the locations according to the time lapse based on the obtained meteorological information; Calculating the amount of sea salt adhering to the power distribution equipment at each of the points based on the meteorological information and the amount of sea salt dispersion according to the passage of time at each of the points; a threshold value is set to an amount of sea salt adhesion to the power distribution equipment at a position and time when damage caused by rapid sea salt pollution occurred, where an increase rate of the number of damages caused by rapid sea salt pollution that have occurred in the past in the calculation domain is equal to or greater than a predetermined value; The power distribution facility that exceeds the threshold is identified as a power distribution facility that is highly likely to suffer from sea salt damage. A power distribution facility management program that causes a computer to execute a process.

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