WO2024062672A1 - 送電線管理装置、送電線温度推定方法および送電線温度推定プログラム - Google Patents

送電線管理装置、送電線温度推定方法および送電線温度推定プログラム Download PDF

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Publication number
WO2024062672A1
WO2024062672A1 PCT/JP2023/017827 JP2023017827W WO2024062672A1 WO 2024062672 A1 WO2024062672 A1 WO 2024062672A1 JP 2023017827 W JP2023017827 W JP 2023017827W WO 2024062672 A1 WO2024062672 A1 WO 2024062672A1
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Prior art keywords
power transmission
transmission line
temperature
value
unit
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English (en)
French (fr)
Japanese (ja)
Inventor
三田雅樹
丸山剛史
小嶋隆夫
岩間成美
酒井治
梅村侑史
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Sumitomo Electric Industries Ltd
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Sumitomo Electric Industries Ltd
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Priority to JP2024548075A priority Critical patent/JP7722594B2/ja
Publication of WO2024062672A1 publication Critical patent/WO2024062672A1/ja
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00—Circuit arrangements for providing remote monitoring or remote control of equipment in a power distribution network
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks

Definitions

  • the present disclosure relates to a power transmission line management device, a power transmission line temperature estimation method, and a power transmission line temperature estimation program.
  • Patent Document 1 Japanese Unexamined Patent Publication No. 2009-65796 discloses the following current capacity dynamic determination device. That is, the current capacity dynamic determination device includes an information processing section that has a data input section for inputting data and a data output section for outputting data and executes information processing, and the information processing section: Means for inputting meteorological condition data including temperature, wind speed and solar radiation at a plurality of meteorological observation points on the transmission line route where the overhead power transmission line is installed from the data input section; For each individual meteorological observation point, the value of the meteorological condition data inputted for each individual meteorological observation point is applied to the calculation formula that calculates the current capacity of the overhead power transmission line using the value of the meteorological condition including the amount of solar radiation as a variable. and means for the information processing unit to output from the data output unit the minimum value of the calculated current capacity for each individual weather observation point as the current capacity of the overhead power transmission line. Equipped with.
  • the power transmission line management device of the present disclosure includes: a first acquisition unit that acquires meteorological data indicating temperature, wind speed, and solar radiation; a second acquisition unit that acquires precipitation data indicating precipitation; an estimation unit that estimates the temperature of the power transmission line based on the weather data acquired by the acquisition unit, the precipitation data acquired by the second acquisition unit, and the value of the current flowing through the power transmission line. .
  • One aspect of the present disclosure can be realized not only as a power transmission line management device including such a characteristic processing unit, but also as a semiconductor integrated circuit that realizes part or all of the power transmission line management device, It can be realized as a system including a power transmission line management device.
  • FIG. 1 is a diagram showing the configuration of a power transmission line management system according to an embodiment of the present disclosure.
  • FIG. 2 is a diagram illustrating an application example of the power transmission line management system according to the embodiment of the present disclosure.
  • FIG. 3 is a diagram illustrating a configuration of a power transmission line management device according to an embodiment of the present disclosure.
  • FIG. 4 is a diagram illustrating an example of actual temperature calculation values calculated by the calculation unit in the power transmission line management device according to the embodiment of the present disclosure.
  • FIG. 5 is a flowchart defining an example of an operation procedure when the power transmission line management device according to the embodiment of the present disclosure estimates the temperature of a power transmission line.
  • FIG. 6 is a flowchart defining another example of the operation procedure when the power transmission line management device according to the embodiment of the present disclosure estimates the temperature of the power transmission line.
  • the present disclosure has been made to solve the above-mentioned problems, and the purpose is to provide a power transmission line management device, a power transmission line temperature estimation method, and a power transmission line temperature estimation method that can more accurately estimate the temperature of a power transmission line.
  • the goal is to provide programs.
  • the temperature of a power transmission line can be estimated more accurately.
  • a power transmission line management device includes a first acquisition unit that acquires meteorological data indicating temperature, wind speed, and solar radiation, a second acquisition unit that acquires precipitation data indicating precipitation, and an estimation unit that estimates the temperature of the power transmission line based on the meteorological data acquired by the first acquisition unit, the precipitation data acquired by the second acquisition unit, and the value of the current flowing through the power transmission line.
  • the configuration estimates the temperature of power lines based on the amount of precipitation, which allows transmission to take into account the cooling effect of precipitation on power lines.
  • the temperature of the wire can be estimated. Therefore, the temperature of the power transmission line can be estimated more accurately.
  • the power transmission line management device further includes a first temperature calculation value that is the calculated temperature value calculated based on the weather data and the current value.
  • a fourth acquisition unit that acquires the temperature measurement result; the first temperature calculation value at the first time acquired by the third acquisition unit; and the fourth acquisition unit.
  • a difference calculation unit that calculates a first difference between the temperature measurement result at the first time acquired by the first acquisition unit, and the estimation unit.
  • the power transmission line is adjusted based on the first temperature calculation value calculated based on the weather data and the current value according to the conventional technology, and the first difference indicating the influence of precipitation on the temperature of the power transmission line. Therefore, the temperature of the power transmission line can be estimated accurately using existing technology and simple processing.
  • the power transmission line management device further includes a fifth acquisition unit that acquires current data that is the measurement result of the current, the weather data and the precipitation data, and the first
  • the estimation unit may further include a creation unit that creates a learning model for estimating the amount of temperature decrease in the power transmission line due to precipitation, using the difference and the current data acquired by the fifth acquisition unit, and the estimation unit is the first target time using the weather data at the first target time, the precipitation data at the first target time, the current value at the first target time, and the learning model.
  • a first estimated value that is an estimated value of the amount of temperature decrease at a time may be acquired, and the estimator may calculate the first temperature at the first target time using the acquired first estimated value and the first temperature calculation at the first target time. The temperature at the first target time may be estimated based on the value.
  • the temperature of the power transmission line is determined based on the estimated value indicating the amount of temperature decrease in the power transmission line due to precipitation at the first target time, which is obtained using the learning model, and the first temperature calculation value. Therefore, by adding the estimated value to the first temperature calculation value, for example, the temperature of the power transmission line can be estimated more accurately with simple processing.
  • the difference calculation unit calculates the first temperature calculation value obtained by the third acquisition unit at a second time when precipitation has stopped, and the fourth temperature calculation value at a second time when precipitation has stopped.
  • the estimation unit may further calculate a second difference between the temperature measurement result at the second time obtained by the acquisition unit, and the estimation unit The temperature may be further estimated based on the difference between the two.
  • the third acquisition unit is configured to calculate the value of the current of the other power transmission line, which is calculated based on the weather data and the value of the current flowing through the other power transmission line.
  • a second temperature calculation value which is a temperature calculation value
  • the estimation unit may further acquire the meteorological data at the second target time, the precipitation data at the second target time, and the second temperature calculation value.
  • a second estimated value that is an estimated value of the temperature decrease amount at the second target time may be obtained using the value of the current flowing through the other power transmission line at the target time and the learning model.
  • the estimating unit is configured to estimate the temperature at the second target time based on the second temperature calculation value at the second target time acquired by the third acquisition unit and the second estimated value. The temperature of the other power transmission line may be further estimated.
  • the power transmission line temperature estimation method of the present disclosure is a power transmission line temperature estimation method in a power transmission line management device, and includes the steps of acquiring meteorological data indicating temperature, wind speed, and solar radiation amount, and precipitation data indicating precipitation amount. and estimating the temperature of the power transmission line based on the acquired weather data, the acquired precipitation data, and the value of the current flowing through the power transmission line.
  • this method estimates the temperature of power transmission lines based on precipitation, which takes into account the cooling effect of precipitation on power transmission lines.
  • the temperature of the wire can be estimated. Therefore, the temperature of the power transmission line can be estimated more accurately.
  • the power transmission line temperature estimation program of the present disclosure is a power transmission line temperature estimation program used in a power transmission line management device, and includes a computer as a first acquisition unit that acquires meteorological data indicating temperature, wind speed, and solar radiation. a second acquisition unit that acquires precipitation data indicating the amount of precipitation; the meteorological data acquired by the first acquisition unit; the precipitation data acquired by the second acquisition unit; This is a program for functioning as an estimator that estimates the temperature of the power transmission line based on the value of the current flowing through the wire.
  • the configuration estimates the temperature of power lines based on the amount of precipitation, which allows transmission to take into account the cooling effect of precipitation on power lines.
  • the temperature of the wire can be estimated. Therefore, the temperature of the power transmission line can be estimated more accurately.
  • FIG. 1 is a diagram showing the configuration of a power transmission line management system according to an embodiment of the present disclosure.
  • power transmission line management system 401 includes contact units 101A, 101B, and 101C, contact units 102A, 102B, and 102C, collection units 201 and 202, and power transmission line management device 301.
  • the contact unit 101A includes a current sensor 111A, a temperature sensor 121A, and a transfer device 151A.
  • Contact unit 101B includes a current sensor 111B, a temperature sensor 121B, and a transfer device 151B.
  • the contact unit 101C includes a current sensor 111C, a temperature sensor 121C, and a transfer device 151C.
  • each of the contact units 101A, 101B, and 101C is also referred to as the contact unit 101
  • each of the current sensors 111A, 111B, and 111C is also referred to as the current sensor 111
  • each of the temperature sensors 121A, 121B, and 121C is also referred to as the temperature sensor 121
  • Each of the transfer devices 151A, 151B, and 151C is also referred to as a transfer device 151.
  • the contact unit 102A includes a current sensor 112A and a transfer device 152A.
  • Contact unit 102B includes a current sensor 112B and a transfer device 152B.
  • Contact unit 102C includes a current sensor 112C and a transfer device 152C.
  • each of the contact units 102A, 102B, and 102C is also referred to as the contact unit 102
  • each of the current sensors 112A, 112B, and 112C is also referred to as the current sensor 112
  • each of the transfer devices 152A, 152B, and 152C is also referred to as the transfer device 152.
  • the collection unit 201 includes a weather sensor 211 and a collection device 251.
  • Collection unit 202 includes a weather sensor 212 and a collection device 252.
  • the IDs of the transfer devices 151A, 151B, 151C, 152A, 152B, and 152C are assumed to be ID_1A, ID_1B, ID_1C, ID_2A, ID_2B, and ID_2C, respectively.
  • the IDs of the collection devices 251 and 252 are assumed to be ID_X1 and ID_X2, respectively.
  • FIG. 2 is a diagram illustrating an application example of the power transmission line management system according to the embodiment of the present disclosure.
  • collection unit 201 is provided in steel tower 2A.
  • the collection unit 202 is provided in the steel tower 2B.
  • the power transmission lines 1AU, 1AV, and 1AW are U-phase, V-phase, and W-phase power transmission lines in the power system, respectively, and are supported by a plurality of steel towers 2A.
  • One line 3A is configured by power transmission lines 1AU, 1AV, and 1AW.
  • each of power transmission lines 1AU, 1AV, and 1AW is also referred to as power transmission line 1A.
  • Power transmission line 1A is an example of a first power transmission line.
  • the power transmission lines 1BU, 1BV, and 1BW are U-phase, V-phase, and W-phase power transmission lines in the power system, respectively, and are supported by a plurality of steel towers 2B.
  • One line 3B is configured by power transmission lines 1BU, 1BV, and 1BW.
  • each of power transmission lines 1BU, 1BV, and 1BW is also referred to as power transmission line 1B.
  • Power transmission line 1B is an example of a second power transmission line. Note that in this specification, the descriptions of "first" and "second" do not mean priority.
  • the contact units 101 are provided at mutually corresponding positions in the multi-phase power transmission line 1A. More specifically, contact units 101A, 101B, and 101C are provided, for example, at positions near steel tower 2A on power transmission lines 1AU, 1AV, and 1AW, respectively. The distances between these three contact units 101 and the steel tower 2A are, for example, approximately the same.
  • the contact units 102 are provided at mutually corresponding positions in the multi-phase power transmission line 1B. More specifically, the contact units 102A, 102B, and 102C are provided, for example, at positions near the steel tower 2B on each of the power transmission lines 1BU, 1BV, and 1BW. The distances between these three contact units 102 and the steel tower 2B are, for example, approximately the same.
  • the current sensor 111 in the contact unit 101 measures the current flowing through the corresponding power line 1A.
  • the temperature sensor 121 in the contact unit 101 measures the temperature of the corresponding power line 1A.
  • the transfer device 151 acquires the measurement result of the current sensor 111 at a measurement timing according to a predetermined measurement cycle Cm, and creates sensor information S1 indicating the acquired measurement result and measurement time tm.
  • Sensor information S1 is an example of current data.
  • the transfer device 151 may acquire an average value, a maximum value, or a minimum value of the current flowing through the power transmission line 1A during a predetermined period, or may acquire an instantaneous value.
  • the transfer device 151 acquires the measurement result of the temperature sensor 121 at the measurement timing according to the measurement cycle Cm, and creates sensor information S2 indicating the acquired measurement result and measurement time tm.
  • the transfer device 151 may obtain an average value, maximum value, or minimum value of the temperature of the power transmission line 1A during a predetermined period, or may obtain an instantaneous value.
  • the transfer device 151 transmits the created sensor information S1 and S2 to the collection unit 201 by wireless communication.
  • the transfer device 151 uses a sensor that includes the ID of the transfer device 151 as a sender, ID_X1 of the collection device 251 as a destination, and sensor information S1, S2, according to the communication standard of IEEE802.15.4, for example.
  • a packet is created and a 920 MHz band wireless signal containing the created sensor packet is transmitted.
  • the transfer device 151 transfers sensor packets transmitted by other transfer devices 151, for example. More specifically, upon receiving a sensor packet from another transfer device 151, the transfer device 151 transmits the received sensor packet.
  • the sensor packet transmission route is automatically constructed by each transfer device 151, for example, in accordance with the IEEE802.15.4 communication standard.
  • FIG. 2 an example of a sensor packet transmission route is indicated by a broken line.
  • one contact unit 101A among three contact units 101 provided at mutually corresponding positions transmits a sensor packet created by itself, and also transfers sensor packets transmitted from contact units 101B and 101C. do.
  • Contact unit 102 The current sensor 112 in the contact unit 102 measures the current flowing through the corresponding power transmission line 1B.
  • the transfer device 152 acquires the measurement result of the current sensor 112 at the measurement timing according to the measurement cycle Cm, and creates sensor information S1 indicating the acquired measurement result and measurement time tm.
  • the transfer device 152 may acquire an average value, a maximum value, or a minimum value of the current flowing through the power transmission line 1B during a predetermined period, or may acquire an instantaneous value.
  • the transfer device 152 transmits the created sensor information S1 to the collection unit 202 by wireless communication.
  • the transfer device 152 transmits a sensor packet including the ID of the transfer device 152 as a sender, ID_X2 of the collection device 252 as a destination, and sensor information S1, for example, in accordance with the IEEE802.15.4 communication standard. Create and transmit a 920 MHz band wireless signal containing the created sensor packet.
  • the transfer device 152 transfers sensor packets transmitted by other transfer devices 152, for example. More specifically, upon receiving a sensor packet from another transfer device 152, the transfer device 152 transmits the received sensor packet.
  • the sensor packet transmission route is automatically constructed by each transfer device 152, for example, in accordance with the IEEE802.15.4 communication standard.
  • FIG. 2 an example of a sensor packet transmission route is indicated by a broken line.
  • one contact unit 102A among three contact units 102 provided at mutually corresponding positions transmits a sensor packet created by itself, and also transfers sensor packets transmitted from contact units 102B and 102C. do.
  • Collection unit 201 When the collection device 251 in the collection unit 201 receives the sensor packet from the contact unit 101, it acquires the ID of the sender transfer device 151 and sensor information S1, S2 from the received sensor packet, and uses the acquired sensor information S1, S2. It is stored in association with the ID of the transfer device 151.
  • the weather sensor 211 in the collection unit 201 measures the temperature, wind speed, amount of solar radiation, and amount of precipitation indicating the environment of the steel tower 2A.
  • the collection device 251 acquires the measurement results by the weather sensor 211 at the measurement timing according to the measurement cycle Cm, and collects the measurement results of the temperature, wind speed, and solar radiation, and sensor information S3 indicating the measurement time tm, and the measurement results and measurement of the amount of precipitation.
  • Sensor information S4 indicating time tm is created.
  • Sensor information S3 is an example of weather data.
  • Sensor information S4 is an example of precipitation data.
  • the collection device 251 stores the created sensor information S3 and S4 in association with the ID_X1 of the collection device 251.
  • the collection device 251 transmits the measurement results of the current sensor 111, temperature sensor 121, and weather sensor 211 to the power transmission line management device 301. More specifically, the collection device 251 includes the stored sensor information S1, S2 and the ID of the corresponding transfer device 151, as well as the sensor information S3, S4 and the ID_X1 of the collection device 251, for example, every predetermined reporting cycle.
  • the collected information CD1 is transmitted to the power transmission line management device 301 by wireless communication. Note that the collection device 251 may transmit the collected information CD1 to the power transmission line management device 301 by wired communication.
  • Collection unit 202 When the collection device 252 in the collection unit 202 receives the sensor packet from the contact unit 102, it acquires the ID and sensor information S1 of the sender transfer device 152 from the received sensor packet, and transfers the acquired sensor information S1 to the transfer device 152. Save it in association with the ID.
  • the weather sensor 212 in the collection unit 202 measures the temperature, wind speed, solar radiation, and precipitation that indicate the environment of the steel tower 2B.
  • the collection device 252 acquires the measurement results by the weather sensor 212 at the measurement timing according to the measurement cycle Cm, and collects the measurement results of the temperature, wind speed, and solar radiation, and sensor information S3 indicating the measurement time tm, and the measurement results and measurement of the amount of precipitation. Sensor information S4 indicating time tm is created.
  • the collection device 252 stores the created sensor information S3 and S4 in association with the ID_X2 of the collection device 252.
  • the collection device 252 transmits the measurement results of the current sensor 112 and the weather sensor 212 to the power transmission line management device 301. More specifically, the collecting device 252 collects collected information including the stored sensor information S1 and the ID of the corresponding transfer device 152, as well as the sensor information S3, S4 and the ID_X2 of the collecting device 252, for example, every predetermined reporting cycle.
  • CD2 is transmitted to the power transmission line management device 301 by wireless communication. Note that the collection device 252 may transmit the collected information CD2 to the power transmission line management device 301 by wired communication.
  • FIG. 3 is a diagram showing the configuration of a power transmission line management device according to an embodiment of the present disclosure.
  • power transmission line management device 301 includes a receiving section 31, a prediction information acquiring section 32, a calculating section 33, a creating section 34, an estimating section 35, and a storage section 36.
  • the receiving unit 31 and the prediction information acquisition unit 32 are an example of a first acquisition unit and an example of a second acquisition unit.
  • the receiving unit 31 is an example of a fourth acquisition unit and an example of a fifth acquisition unit.
  • the calculation unit 33 is an example of a third acquisition unit and an example of a difference calculation unit.
  • a part or all of the receiving section 31, the prediction information acquiring section 32, the calculating section 33, the creating section 34, and the estimating section 35 are realized by, for example, a processing circuit including one or more processors.
  • the storage unit 36 is, for example, a nonvolatile memory included in the processing circuit.
  • the functions of the power transmission line management device 301 may be provided by cloud computing. That is, the power transmission line management device 301 may be configured by a plurality of cloud servers or the like.
  • the receiving unit 31 acquires sensor information S1 indicating the measurement result of the current flowing through the power transmission line 1A, sensor information S2 indicating the measurement result of the temperature of the power transmission line 1A, sensor information S3 indicating the air temperature, wind speed, and solar radiation at the position of the steel tower 2A on which the collection unit 201 is installed, and sensor information S4 indicating the amount of precipitation at the position of the steel tower 2A. More specifically, the receiving unit 31 receives collection information CD1 from the collection unit 201, and acquires the sensor information S1, S2 and the ID of the transfer device 151, as well as the sensor information S3, S4, and the ID_X1 of the collection device 251 from the received collection information CD1. The receiving unit 31 stores the acquired sensor information S1, S2 in the storage unit 36 in association with the ID of the transfer device 151, and stores the acquired sensor information S3, S4 in the storage unit 36 in association with the ID_X1 of the collection device 251.
  • the receiving unit 31 also receives sensor information S1 indicating the measurement result of the current flowing through the power transmission line 1B, sensor information S3 indicating the temperature, wind speed, and amount of solar radiation at the position of the steel tower 2B where the collection unit 202 is installed, and Obtain sensor information S4 indicating the amount of precipitation at the location. More specifically, the receiving unit 31 receives the collection information CD2 from the collection unit 202, and from the received collection information CD2, the sensor information S1 and the ID of the transfer device 152, and the sensor information S3, S4 and the ID_X2 of the collection device 252. get. The receiving unit 31 stores the acquired sensor information S1 in the storage unit 36 in association with the ID of the transfer device 152, and stores the acquired sensor information S3 and S4 in the storage unit 36 in association with the ID_X2 of the collection device 252. .
  • the forecast information acquisition unit 32 obtains weather forecast information W1A indicating the predicted results of the temperature, wind speed, and amount of solar radiation in the area including the location of the steel tower 2A where the collection unit 201 is installed, and the amount of precipitation in the area including the location of the steel tower 2A. Weather prediction information W2A indicating the prediction result is acquired. The forecast information acquisition unit 32 also obtains weather forecast information W1B indicating the predicted results of the temperature, wind speed, and amount of solar radiation in the area including the location of the steel tower 2B where the collection unit 201 is installed, and the precipitation in the area including the location of the steel tower 2B. Weather forecast information W2B indicating the forecast result of the amount of weather is acquired. Weather forecast information W1A, W1B is an example of weather data. Weather forecast information W2A, W2B is an example of precipitation data.
  • the prediction information acquisition unit 32 transmits weather prediction information W1A, W1B, W2A, and W2B after a predetermined time from the prediction timing to the Meteorological Business Support Center, General Incorporated Foundation, at a prediction timing according to a predetermined prediction cycle Ca. Get from.
  • the prediction information acquisition unit 32 acquires weather prediction information W1A, W1B, W2A, and W2B up to four hours after the prediction timing from the Weather Business Support Center.
  • the prediction information acquisition unit 32 stores the acquired weather prediction information W1A, W1B, W2A, and W2B in the storage unit 36.
  • the calculation unit 33 calculates an actual temperature calculated value Tac1, which is a calculated value of the temperature of the power transmission line 1A, based on the sensor information S3 indicating the air temperature, wind speed, and solar radiation at the position of the steel tower 2A where the collection unit 201 is installed, and the value of the current flowing through the power transmission line 1A.
  • the actual temperature calculated value Tac1 is an example of a first temperature calculated value.
  • the calculation unit 33 calculates the sensor information S3 corresponding to ID_X1 of the collection device 251 and the ID_1A of the transfer device 151A.
  • the sensor information S1 corresponding to is acquired from the storage unit 36.
  • the calculation unit 33 calculates the value based on the temperature, wind speed, and solar radiation at a certain measurement time tm indicated by the acquired sensor information S3, and the value of the current flowing through the power transmission line 1AU at the same measurement time tm indicated by the acquired sensor information S1. Then, the calculated actual temperature value Tac1A, which is the calculated actual temperature value Tac1 of the power transmission line 1AU at the same measurement time tm, is calculated. The calculation unit 33 calculates the actual temperature calculation value Tac1A based on the temperature, wind speed, amount of solar radiation, and the value of the current flowing through the power transmission line 1AU, according to the calculation method described in, for example, Patent Document 1. The calculation method described in Patent Document 1 etc. calculates the temperature of the power transmission line 1 using an arithmetic formula that uses temperature, wind speed, solar radiation, and the value of the current flowing through the power transmission line 1 as parameters, without using precipitation. This is the calculation method to calculate.
  • the calculation unit 33 similarly calculates an actual temperature calculation value Tac1B, which is the actual temperature calculation value Tac1 of the power transmission line 1AV, and an actual temperature calculation value Tac1C, which is the actual temperature calculation value Tac1 of the power transmission line 1AW.
  • the calculation unit 33 calculates the difference D1 between the calculated actual temperature value Tac1 of the power transmission line 1A at the measurement time tm and the measurement result of the temperature of the power transmission line 1A at the same measurement time tm.
  • the difference D1 is an example of a first difference.
  • the calculation unit 33 calculates the actual temperature calculation value Tac1A at a certain measurement time tm, it acquires the sensor information S2 at the same measurement time tm corresponding to the ID_1A of the transfer device 151A from the storage unit 36.
  • the calculation unit 33 calculates the difference D1A, which is the difference D1 between the calculated actual temperature calculation value Tac1A and the measured value of the temperature of the power transmission line 1AU indicated by the acquired sensor information S2.
  • the calculation unit 33 similarly calculates a difference D1B which is the difference D1 between the actual temperature calculation value Tac1B and the measured value of the temperature of the power transmission line 1AV, and a difference D1B which is the difference D1 between the actual temperature calculation value Tac1C and the measured value of the temperature of the power transmission line 1AW.
  • a difference D1C, which is the difference D1 is calculated.
  • the calculating unit 33 calculates the calculated actual temperature value Tac1 and the difference D1 each time the receiving unit 31 stores the sensor information S1, S2, S3, and S4 in the storage unit 36, and calculates the calculated actual temperature value Tac1 and the difference D1.
  • D1 is stored in the storage unit 36 in association with the measurement time tm.
  • the calculation unit 33 is based on sensor information S3 indicating the temperature, wind speed, and solar radiation at the position of the steel tower 2B where the collection unit 202 is installed, and the value of the current flowing through the power transmission line 1B. Then, the actual temperature calculation value Tac2, which is the calculated value of the temperature of the power transmission line 1B, is calculated.
  • the actual temperature calculation value Tac2 is an example of the second temperature calculation value.
  • the calculation unit 33 calculates the sensor information S3 corresponding to ID_X2 of the collection device 252 and the ID_2A of the transfer device 152A.
  • the sensor information S1 corresponding to is acquired from the storage unit 36.
  • the calculation unit 33 calculates the value based on the temperature, wind speed, and solar radiation amount at a certain measurement time tm indicated by the acquired sensor information S3, and the value of the current flowing through the power transmission line 1BU at the same measurement time tm indicated by the acquired sensor information S1. Then, a calculated actual temperature value Tac2A, which is the calculated actual temperature value Tac2 of the power transmission line 1BU at the same measurement time tm, is calculated. The calculation unit 33 calculates the actual temperature calculation value Tac2A based on the temperature, wind speed, amount of solar radiation, and the value of the current flowing through the power transmission line 1BU, according to the calculation method described in, for example, Patent Document 1.
  • the calculation unit 33 similarly calculates an actual temperature calculation value Tac2B, which is the actual temperature calculation value Tac2 of the power transmission line 1BV, and an actual temperature calculation value Tac2C, which is the actual temperature calculation value Tac2 of the power transmission line 1BW.
  • the calculation unit 33 calculates an actual temperature calculation value Tac2 every time the sensor information S1, S3, S4 is stored in the storage unit 36 by the reception unit 31, and associates the calculated actual temperature calculation value Tac2 with the measurement time tm. It is saved in the storage unit 36.
  • FIG. 4 is a diagram illustrating an example of actual temperature calculation values calculated by the calculation unit in the power transmission line management device according to the embodiment of the present disclosure.
  • the horizontal axis indicates time, and the vertical axis indicates temperature.
  • the solid line in FIG. 4 indicates the calculated actual temperature value Tac1.
  • the broken line in FIG. 4 indicates the measured value Tmea of the temperature of the power transmission line 1A.
  • the dashed line in FIG. 4 indicates the error ⁇ T between the calculated actual temperature value Tac1 and the actual measured value Tmea.
  • FIG. 4 shows temporal changes in the actual temperature calculation value Tac1, the actual measurement value Tmea, and the error ⁇ T in the case where there is precipitation just before time ts and the precipitation stops after time ts.
  • the calculated actual temperature value Tac1 is greater than the measured value Tmea. This is because the calculated actual temperature value Tac1 is a value calculated while ignoring the amount of precipitation, and does not take into account the cooling effect of precipitation on power line 1A.
  • the error ⁇ T decreases over time after time ts, and converges to a constant value.
  • the value when the error ⁇ T converges is a value based on a factor other than the cooling effect of the power transmission line 1A due to precipitation.
  • Other factors include differences between the weather conditions at the location where the weather sensor 211 is installed on the steel tower 2A and the weather conditions at the location where the actual measurement value Tmea is measured, individual variations in the power transmission line 1A, and physical quantities of the power transmission line 1A, such as Possible causes include changes in emissivity over time. That is, the error ⁇ T is a value based on the amount of temperature decrease in the power transmission line 1A due to precipitation and the other factor.
  • the calculation unit 33 calculates the clear weather difference Dsur, which is the difference between the actual temperature calculation value Tac1 at time ty when precipitation has stopped and the measurement result of the temperature of the power transmission line 1A at time ty.
  • the clear weather difference Dsur is an example of the second difference.
  • Time ty is an example of the second time.
  • the calculation unit 33 calculates actual temperature calculation values Tac1A, Tac1B, and Tac1C at time ty when sufficient time has passed since the precipitation stopped. Specifically, the calculation unit 33 calculates that the difference between the error ⁇ T at the n-th measurement time tmn and the error ⁇ T at the (n-1)th measurement time tm(n-1) is less than a predetermined value, for example, 1°C. When the measured time tmn is less than or equal to the time ty, it is determined that the measurement time tmn is a time ty at which sufficient time has passed since the precipitation stopped, and actual temperature calculation values Tac1A, Tac1B, and Tac1C at the time ty are calculated.
  • n is an integer of 2 or more.
  • the calculation unit 33 calculates the difference between the calculated actual temperature value Tac1A and the measured value of the temperature of the power transmission line 1AU at the time ty indicated by the sensor information S2 as a clear weather difference DsurA. Further, the calculation unit 33 calculates the difference between the calculated actual temperature calculation value Tac1B and the measured value of the temperature of the power transmission line 1AV at the time ty indicated by the sensor information S2 as a clear weather time difference DsurB. Further, the calculation unit 33 calculates the difference between the calculated actual temperature calculation value Tac1C and the measured value of the temperature of the power transmission line 1AW at the time ty indicated by the sensor information S2 as a clear weather time difference DsurC.
  • the calculation unit 33 stores the calculated clear weather differences DsurA, DsurB, and DsurC in the storage unit 36. For example, the calculation unit 33 periodically calculates the clear weather differences DsurA, DsurB, and DsurC, and updates the clear weather differences DsurA, DsurB, and DsurC in the storage unit 36 to the calculated clear weather differences DsurA, DsurB, and DsurC.
  • the creation unit 34 uses the sensor information S1, S3, S4 and the difference D1 to create a learning model Md for estimating the precipitation difference Drain, which indicates the amount of temperature decrease in the power transmission line 1A due to precipitation, out of the above-mentioned error ⁇ T. create.
  • D1(n) is the precipitation difference Drain at time tn.
  • D1(n-1) is the precipitation difference Drain at time t(n-1) before time tn.
  • f(n) is a function of the temperature, wind speed, amount of solar radiation, amount of precipitation, and current flowing through the power transmission line 1A during the period from time t(n-1) to time tn.
  • D1(y) is the precipitation difference Drain at time ty when sufficient time has passed since precipitation stopped.
  • the creation unit 34 creates a learning model Md for estimating the precipitation difference Drain according to equation (1).
  • the creation unit 34 acquires the sensor information S1, S3, S4, the difference D1A, and the clear weather difference DsurA corresponding to the ID_X1 of the collection device 251 from the storage unit 36.
  • the creation unit 34 creates explanatory variables in the learning model Md using the acquired sensor information S1, S3, and S4.
  • the creation unit 34 uses the acquired sensor information S3 to create an object of a predetermined length T1 from the (nk)th measurement time tm(nk) to the nth measurement time tmn.
  • the average value Av1 of the temperature at three or more measurement times tm within the period is calculated.
  • k is an integer smaller than n.
  • the length T1 is, for example, one hour.
  • the creation unit 34 calculates the average value Av1 of the temperature at three or more measurement times tm within the period of length T1 from measurement time tm(n-k+1) to measurement time tm(n+1). .
  • the creation unit 34 creates time series data TDA1 consisting of a plurality of time series average values Av1 by shifting the measurement time tm, which is the starting point of the target period, by one.
  • the creation unit 34 uses the acquired sensor information S3 to create a target period of a predetermined length T1 from the (n ⁇ k)th measurement time tm(n ⁇ k) to the nth measurement time tmn. An average value Av2 of wind speeds at three or more measurement times tm is calculated. The creation unit 34 similarly calculates the average value Av2 of the wind speed at three or more measurement times tm within the period of length T1 from measurement time tm(n-k+1) to measurement time tm(n+1). . The creation unit 34 creates time series data TDA2 consisting of a plurality of time series average values Av2 by shifting the measurement time tm, which is the starting point of the target period, by one.
  • the creation unit 34 uses the acquired sensor information S3 to create a target period of a predetermined length T1 from the (n ⁇ k)th measurement time tm(n ⁇ k) to the nth measurement time tmn.
  • An average value Av4 of the amount of solar radiation at three or more measurement times tm is calculated.
  • the creation unit 34 similarly calculates the average value Av4 of the amount of solar radiation at three or more measurement times tm within the target period of length T1 from measurement time tm (n-k+1) to measurement time tm (n+1). do.
  • the creation unit 34 creates time series data TDA4 consisting of a plurality of time series average values Av4 by shifting the measurement time tm, which is the starting point of the target period, by one.
  • the creation unit 34 also uses the acquired sensor information S4 to calculate the average value Av5 of the amount of precipitation at three or more measurement times tm within a target period of a predetermined length T1 from the (n-k)th measurement time tm(n-k) to the nth measurement time tmn. Similarly, the creation unit 34 calculates the average value Av5 of the amount of precipitation at three or more measurement times tm within a target period of length T1 from the measurement time tm(n-k+1) to the measurement time tm(n+1). The creation unit 34 shifts the measurement time tm, which is the start point of the target period, by one each time to create time series data TDA5 consisting of multiple time series average values Av5.
  • the creation unit 34 uses the acquired sensor information S1 to create a target period of a predetermined length T1 from the (n ⁇ k)th measurement time tm(n ⁇ k) to the nth measurement time tmn. An average value Av6 of the current at three or more measurement times tm is calculated. Similarly, the creation unit 34 calculates the average value Av6 of the current at three or more measurement times tm within the period of length T1 from measurement time tm(n ⁇ k+1) to measurement time tm(n+1). . The creation unit 34 creates time series data TDA6 consisting of a plurality of time series average values Av6 by shifting the measurement time tm, which is the starting point of the target period, by one.
  • the creation unit 34 calculates a value obtained by subtracting the clear weather difference DsurA from the difference D1A at the measurement time tmn as the precipitation difference Drain at the measurement time tmn, associates the calculated precipitation difference Drain with the measurement time tmn, and stores it in the storage unit. Save to 36.
  • the creation unit 34 calculates a value obtained by subtracting the clear weather difference DsurA from the difference D1A at the measurement time tm(n+1) as the precipitation difference Drain at the measurement time tm(n+1).
  • the creation unit 34 creates time-series data TDrain consisting of a plurality of time-series precipitation differences Drain by shifting the measurement time tm from which the precipitation difference Drain is calculated by one.
  • the creation unit 34 creates a learning model Md using the time series data TDA1, TDA2, TDA4, TDA5, TDA6 that are explanatory variables and the time series data TDrain that is an objective variable. More specifically, the creation unit 34 uses, for example, the created time series data TDA1, TDA2, TDA4, TDA5, TDA6 and the created time series data TDrain as learning data for the neural network, starting from time tn.
  • a learning model Md is created by performing machine learning so as to output time series data TDrain over a period of a predetermined length.
  • the creation unit 34 stores the created learning model Md in the storage unit 36.
  • the estimation unit 35 estimates the temperature of the power transmission line 1A based on the sensor information S3, S4 acquired by the reception unit 31 and the value of the current flowing through the power transmission line 1A. Furthermore, the estimation unit 35 estimates the temperature of the power transmission line 1B based on the sensor information S3, S4 and the value of the current flowing through the power transmission line 1B.
  • the estimation unit 35 for example, at the prediction timing according to the prediction cycle Ca, based on the sensor information S3, S4 and the provisional current value EAp that is the value of the virtual current flowing through the power transmission line 1A,
  • the temperature of the power transmission line 1A at a future predicted time tp is predicted.
  • the predicted time tp is an example of the first target time.
  • the tentative current value EAp is a virtual current value set by the estimation unit 35.
  • the estimation unit 35 sets a tentative current value EAp and outputs a calculation instruction including the set tentative current value EAp to the calculation unit 33.
  • the estimation unit 35 sets the provisional current value EAp to a value obtained by adding a predetermined value to the current value of the power transmission line 1A at a certain time indicated by the sensor information S1.
  • (1-1) Calculation of predicted temperature calculation value Tpc1 Upon receiving the calculation instruction from the estimation unit 35, the calculation unit 33 predicts the temperature, wind speed, and amount of solar radiation in the area including the position of the steel tower 2A where the collection unit 201 is installed.
  • a predicted temperature calculation value Tpc1 which is the predicted temperature of the power transmission line 1A, is calculated based on the weather prediction information W1A indicating the result and the tentative current value EAp.
  • the predicted temperature calculation value Tpc1 is an example of the first temperature calculation value.
  • the calculation unit 33 acquires the weather forecast information W1A from the storage unit 36.
  • the calculation unit 33 uses the predicted values of the temperature, wind speed, and amount of solar radiation at the predicted time tp indicated by the acquired weather forecast information W1A, and the provisional current value EAp, in accordance with the calculation method described in, for example, Patent Document 1. , calculates a predicted temperature calculation value Tpc1A, which is a predicted temperature calculation value Tpc1 of the power transmission line 1AU at the predicted time tp.
  • the calculation unit 33 calculates the predicted temperature calculation value Tpc1A at a plurality of predicted times tp at predetermined intervals based on the weather forecast information W1A and the provisional current value EAp. As an example, the calculation unit 33 calculates predicted temperature calculation values Tpc1A at four predicted times tp at one-hour intervals based on the weather forecast information W1A and the provisional current value EAp.
  • the calculation unit 33 calculates a predicted temperature calculation value Tpc1B which is the predicted temperature calculation value Tpc1 of the power transmission line 1AV at the four predicted times tp, and a predicted temperature calculation value Tpc1 of the power transmission line 1AW at the four predicted times tp.
  • a predicted temperature calculation value Tpc1C is calculated.
  • the calculation unit 33 outputs the predicted temperature calculation values Tpc1A, Tpc1B, and Tpc1C at the predicted time tp to the estimation unit 35.
  • the estimation unit 35 calculates the predicted temperature at the predicted time tp calculated by the calculation unit 33 based on the weather prediction information W1A, W2A at the predicted time tp acquired by the prediction information acquisition unit 32.
  • the temperature of the power transmission line 1A at the prediction time tp is predicted based on the learning model Md created using the value Tpc1 and the difference D1.
  • the estimation unit 35 uses the weather prediction information W1A, W2A, the provisional current value EAp, and the learning model Md in the storage unit 36 to calculate the estimated precipitation difference Dplain1, which is the estimated value of the precipitation difference Drain at the prediction time tp. get.
  • the estimated precipitation difference Dplain1 is an example of a first estimated value.
  • the estimation unit 35 uses the sensor information S3, S4 regarding the power transmission line 1A and the weather forecast information W1A, W2A to estimate the actual weather values at a plurality of measurement times tm and the weather forecast at a plurality of predicted times tp. Create weather time series data at predetermined time intervals, including predicted values.
  • the estimation unit 35 uses the sensor information S3 corresponding to the ID_X1 of the collection device 251 and the weather forecast information W1A to create time series data TDAp1 consisting of actual temperature values at eight past measurement times tm and predicted temperature values at four future prediction times tp.
  • the estimation unit 35 uses the sensor information S3 and the weather prediction information W1A corresponding to ID_X1 of the collection device 251 to determine the actual wind speed values at eight past measurement times tm and the wind speeds at four future predicted times tp. Create time series data TDAp2 consisting of predicted values.
  • the estimation unit 35 uses the sensor information S3 and the weather prediction information W1A corresponding to ID_X1 of the collection device 251 to determine the actual values of the amount of solar radiation at eight past measurement times tm and the actual values of the amount of solar radiation at four future predicted times tp.
  • Time series data TDAp4 consisting of the predicted value of the amount of solar radiation is created.
  • the estimation unit 35 uses the sensor information S4 and the weather prediction information W1A corresponding to ID_X1 of the collection device 251 to determine the actual values of precipitation at eight past measurement times tm and at four future predicted times tp.
  • Time series data TDAp5 consisting of predicted values of precipitation is created.
  • the estimation unit 35 provides the created time series data TDAp1, TDAp2, TDAp4, TDAp5 and provisional current value EAp to the learning model Md to obtain the estimated precipitation difference Dplain1 at four future predicted times tp.
  • the estimation unit 35 predicts the temperature of the power transmission line 1A at the predicted time tp based on the acquired estimated precipitation difference Dplain1 and the predicted temperature calculation value Tpc1 at the predicted time tp. For example, the estimation unit 35 predicts the temperature of the power transmission line 1A at the predicted time tp further based on the clear weather difference Dsur.
  • the estimation unit 35 adds the estimated precipitation difference Dplain1 and the clear weather difference DsurA at the prediction time tp to the predicted temperature calculation value Tpc1A at the prediction time tp received from the calculation unit 33, and calculates the value at the prediction time. It is predicted that this is the temperature of the power transmission line 1AU when a current having a tentative current value EAp flows through the power transmission line 1AU at tp.
  • the estimation unit 35 adds the estimated precipitation difference Dplain1 and the clear weather difference DsurB at the prediction time tp to the predicted temperature calculation value Tpc1B at the prediction time tp received from the calculation unit 33, and calculates the value at the prediction time tp. is predicted to be the temperature of the power transmission line 1AV when a current having a tentative current value EAp flows through the power transmission line 1AV.
  • the estimating unit 35 adds the estimated precipitation difference Dplain1 and the clear weather difference DsurC at the predicted time tp to the predicted temperature calculation value Tpc1C at the predicted time tp received from the calculating unit 33, and calculates the value as the predicted temperature value Tpc1C at the predicted time tp. is predicted to be the temperature of the power transmission line 1AW when a current having a tentative current value EAp flows through the power transmission line 1AW.
  • the estimation unit 35 performs dynamic line rating to dynamically calculate the power transmission capacity of the power transmission line 1A based on the predicted temperature of the power transmission line 1A at the predicted time tp.
  • the estimation unit 35 calculates a hypothetical value when the predicted value of the temperature of the power transmission line 1A at the predicted time tp becomes a value within a predetermined temperature range Rt including the rated temperature Trat. Search for current value EAp. Specifically, the estimation unit 35 compares the predicted value of the temperature of the power transmission line 1A at the predicted time tp with the temperature range Rt, and if the predicted value is less than the lower limit of the temperature range Rt, the temporary current value EAp is changed to a higher value, and a calculation instruction including the changed provisional current value EAp is output to the calculation unit 33.
  • the estimation unit 35 changes the tentative current value EAp to a lower value and sends a calculation instruction including the changed tentative current value EAp to the calculation unit 33. Output.
  • the estimation unit 35 repeatedly compares the predicted value with the temperature range Rt and changes the tentative current value EAp until the predicted value of the temperature of the power transmission line 1A becomes a value within the temperature range Rt, so that the predicted value falls within the temperature range Rt. A tentative current value EAp when the value is within Rt is searched.
  • the estimation unit 35 determines that the tentative current value EAp when the predicted value of the temperature of the power transmission line 1A becomes a value within the temperature range Rt is the power transmission capacity of the power transmission line 1A, and calculates the determined power transmission capacity of the power transmission line 1A. , notifies the power generation device (not shown).
  • the estimation unit 35 is based on the sensor information S3, S4 at the measurement time tm, the actual temperature calculation value Tac2 at the measurement time tm calculated by the calculation unit 33, and the estimated precipitation difference Dplain. , determine the temperature of the power transmission line 1B at measurement time tm. For example, the estimation unit 35 determines the temperature of the power transmission line 1B at the measurement time tm based on the calculated actual temperature value Tac2 at the measurement time tm and the estimated precipitation difference Dplain at the measurement time tm.
  • the measurement time tm is an example of the second target time, and may be the current time or a past time.
  • the estimation unit 35 calculates the estimated precipitation difference Dplain2.
  • an estimated precipitation difference Dplain2 which is an estimated value of the precipitation difference Drain at measurement time tmq.
  • the estimated precipitation difference Dplain2 is an example of the second estimated value.
  • the estimation unit 35 uses the sensor information S3 and S4 regarding the power transmission line 1B to create weather time series data at predetermined time intervals, including actual weather values at a plurality of measurement times tm. Furthermore, the estimation unit 35 uses the sensor information S1 regarding the power transmission line 1B to create time series data of the current at predetermined time intervals, including actual values of the current flowing through the power transmission line 1B at a plurality of measurement times tm.
  • the estimation unit 35 uses the sensor information S3 corresponding to ID_X1 of the collection device 252 to create time series data TDB1 consisting of the actual temperature values at the latest eight measurement times tm.
  • the estimation unit 35 uses the sensor information S3 corresponding to ID_X1 of the collection device 252 to create time series data TDB2 consisting of actual wind speed values at the latest eight measurement times tm.
  • the estimation unit 35 uses the sensor information S3 corresponding to ID_X1 of the collection device 252 to create time series data TDB4 consisting of the actual values of the amount of solar radiation at the latest eight measurement times tm.
  • the estimation unit 35 uses the sensor information S4 corresponding to ID_X1 of the collection device 252 to create time series data TDB5 consisting of actual values of precipitation at the latest eight measurement times tm.
  • the estimation unit 35 uses the sensor information S1 corresponding to ID_2A of the transfer device 152A to create time series data TDB6U consisting of actual current values at the most recent eight measurement times tm.
  • the estimation unit 35 uses the sensor information S1 corresponding to ID_2B of the transfer device 152B to create time series data TDB6V consisting of actual current values at the latest eight measurement times tm.
  • the estimation unit 35 uses the sensor information S1 corresponding to ID_2C of the transfer device 152C to create time series data TDB6W consisting of actual current values at the latest eight measurement times tm.
  • the estimation unit 35 obtains the estimated precipitation difference Dplain2U, which is the estimated precipitation difference Dplain2 of the power transmission line 1BU at measurement time tmq, by giving the created time series data TDB1, TDB2, TDB4, TDB5, and TDB6U to the learning model Md.
  • the estimation unit 35 obtains an estimated precipitation difference Dplain2V, which is the estimated precipitation difference Dplain2 of the power transmission line 1BU at the measurement time tmq, by giving the created time series data TDB1, TDB2, TDB4, TDB5, and TDB6V to the learning model Md. .
  • the estimation unit 35 obtains an estimated precipitation difference Dplain2W, which is the estimated precipitation difference Dplain2 of the power transmission line 1BW at measurement time tmq, by giving the created time series data TDB1, TDB2, TDB4, TDB5, and TDB6W to the learning model Md. .
  • the estimating unit 35 obtains the estimated precipitation differences Dplain2U, Dplain2V, and Dplain2W by performing the above-described processing.
  • the estimation unit 35 determines the temperature of the power transmission line 1B at the measurement time tmq based on the calculated actual temperature value Tac2 at the measurement time tmq and the estimated precipitation difference Dplain2 at the measurement time tmq.
  • the estimation unit 35 determines that the value obtained by adding the estimated precipitation difference Dplain2U at the measurement time tmq to the calculated actual temperature value Tac2A at the measurement time tmq is the temperature of the power transmission line 1BU at the measurement time tmq. Note that the estimation unit 35 may be configured to determine that the value obtained by further adding the clear weather difference Dsur to the actual temperature calculation value Tac2A is the temperature of the power transmission line 1BU.
  • the estimation unit 35 determines that the value obtained by adding the estimated precipitation difference Dplain2V at the measurement time tmq to the calculated actual temperature value Tac2B at the measurement time tmq is the temperature of the power transmission line 1BV at the measurement time tmq. Note that the estimation unit 35 may be configured to determine that the value obtained by further adding the clear weather time difference Dsur to the actual temperature calculation value Tac2B is the temperature of the power transmission line 1BV.
  • the estimation unit 35 determines that the value obtained by adding the estimated precipitation difference Dplain2W at the measurement time tmq to the calculated actual temperature value Tac2C at the measurement time tmq is the temperature of the power transmission line 1BW at the measurement time tmq. Note that the estimation unit 35 may be configured to determine that the value obtained by further adding the clear weather time difference Dsur to the calculated actual temperature value Tac2C is the temperature of the power transmission line 1BW.
  • the estimation unit 35 for example, at the prediction timing according to the prediction cycle Ca, based on the sensor information S3, S4 and the provisional current value EBp that is the value of the virtual current flowing through the power transmission line 1B,
  • the temperature of power transmission line 1B at future predicted time tp is predicted.
  • the predicted time tp is an example of the second target time.
  • the predicted time tp of the temperature of the power transmission line 1A and the predicted time tp of the temperature of the power transmission line 1B may be the same or different.
  • the tentative current value EBp is a virtual current value set by the estimation unit 35.
  • the estimation unit 35 sets a temporary current value EBp and outputs a calculation instruction including the set temporary current value EBp to the calculation unit 33. For example, the estimation unit 35 sets the provisional current value EAp to a value obtained by adding a predetermined value to the current value of the power transmission line 1B at a certain time indicated by the sensor information S1.
  • a predicted temperature calculation value Tpc2 which is the predicted temperature of the power transmission line 1B, is calculated based on the weather prediction information W1B indicating the result and the tentative current value EBp.
  • the predicted temperature calculation value Tpc2 is an example of the second temperature calculation value.
  • the calculation unit 33 acquires the weather forecast information W1B from the storage unit 36.
  • the calculation unit 33 uses the predicted values of the temperature, wind speed, and solar radiation at the predicted time tp indicated by the acquired weather forecast information W1B, and the provisional current value EBp, in accordance with the calculation method described in, for example, Patent Document 1. , calculates a predicted temperature calculation value Tpc2A, which is a predicted temperature calculation value Tpc2 of the power transmission line 1BU at the predicted time tp.
  • the calculation unit 33 calculates the predicted temperature calculation value Tpc2A at a plurality of predicted times tp at predetermined intervals based on the weather forecast information W1B and the provisional current value EBp. As an example, the calculation unit 33 calculates predicted temperature calculation values Tpc2A at four predicted times tp at one-hour intervals based on the weather forecast information W1B and the tentative current value EBp.
  • the calculation unit 33 similarly calculates a predicted temperature calculation value Tpc2B, which is the predicted temperature calculation value Tpc2 of the power transmission line 1BV at the four prediction times tp, and a predicted temperature calculation value Tpc2C, which is the predicted temperature calculation value Tpc2 of the power transmission line 1BW at the four prediction times tp.
  • the calculation unit 33 outputs the predicted temperature calculation values Tpc2A, Tpc2B, and Tpc2C at the prediction times tp to the estimation unit 35.
  • the estimation unit 35 uses the weather forecast information W1B, W2B, the provisional current value EBp, and the learning model Md in the storage unit 36 to calculate the estimated value of the precipitation difference Drain2 at the prediction time tp.
  • a certain estimated precipitation difference Dplain2 is obtained.
  • the estimated precipitation difference Dplain2 is an example of the second estimated value.
  • the estimation unit 35 uses the sensor information S3, S4 regarding the power transmission line 1B and the weather prediction information W1B, W2B to estimate the actual weather values at the plurality of measurement times tm and the weather values at the plurality of predicted times tp. Create weather time series data at predetermined time intervals, including predicted values.
  • the estimation unit 35 uses the sensor information S3 and weather prediction information W1B corresponding to ID_X2 of the collection device 252 to estimate the actual temperature values at eight past measurement times tm and four predicted times in the future.
  • Time series data TDBp1 consisting of the predicted value of the temperature at tp is created.
  • the estimation unit 35 also uses the sensor information S3 corresponding to ID_X2 of the collection device 252 and the weather forecast information W1B to create time series data TDBp2 consisting of actual wind speed values at eight past measurement times tm and predicted wind speed values at four future prediction times tp.
  • the estimation unit 35 uses the sensor information S3 and the weather prediction information W1B corresponding to ID_X2 of the collection device 252 to determine the actual value of the amount of solar radiation at eight past measurement times tm and the actual value of the amount of solar radiation at four future predicted times tp.
  • Time series data TDBp4 consisting of the predicted value of the amount of solar radiation is created.
  • the estimation unit 35 uses the sensor information S4 and the weather prediction information W1B corresponding to ID_X2 of the collection device 252 to determine the actual values of precipitation at eight past measurement times tm and the actual values at four future prediction times tp.
  • Time series data TDBp5 consisting of predicted values of precipitation is created.
  • the estimation unit 35 obtains the estimated precipitation difference Dprain2 at four future prediction times tp by providing the created time series data TDBp1, TDBp2, TDBp4, and TDBp5 and the provisional current value EBp to the learning model Md.
  • the estimation unit 35 predicts the temperature of the power transmission line 1B at the predicted time tp based on the acquired estimated precipitation difference Dplain2 and the predicted temperature calculation value Tpc2 at the predicted time tp.
  • the estimating unit 35 adds the estimated precipitation difference Dplain2 at the predicted time tp to the predicted temperature calculation value Tpc2A at the predicted time tp received from the calculating unit 33, and calculates it as a provisional current value EBp at the predicted time tp. This is predicted to be the temperature of the power transmission line 1BU when a current of 1 BU flows through the power transmission line 1BU.
  • the estimating unit 35 adds the estimated precipitation difference Dplain2 at the predicted time tp to the predicted temperature calculation value Tpc2B at the predicted time tp received from the calculating unit 33, and calculates the current value of the temporary current value EBp at the predicted time tp. It is predicted to be the temperature of the power transmission line 1BV when it flows through the power transmission line 1BV.
  • the estimating unit 35 calculates a value obtained by adding the estimated precipitation difference Dplain2 at the predicted time tp to the predicted temperature calculation value Tpc2C at the predicted time tp received from the calculating unit 33, so that the current of the tentative current value EBp at the predicted time tp is It is predicted to be the temperature of the power transmission line 1BW when it flows through the power transmission line 1BW.
  • the estimation unit 35 performs dynamic line rating to dynamically calculate the power transmission capacity of the power transmission line 1B based on the predicted temperature of the power transmission line 1B at the predicted time tp.
  • the estimation unit 35 calculates a hypothetical case when the predicted value of the temperature of the power transmission line 1B at the predicted time tp is a value within a predetermined temperature range Rt including the rated temperature Trat. Search for current value EBp. Specifically, the estimation unit 35 compares the predicted value of the temperature of the power transmission line 1B at the predicted time tp with the temperature range Rt, and if the predicted value is less than the lower limit of the temperature range Rt, the temporary current value EBp is changed to a higher value, and a calculation instruction including the changed provisional current value EBp is output to the calculation unit 33.
  • the estimation unit 35 changes the tentative current value EBp to a lower value and sends a calculation instruction including the changed tentative current value EBp to the calculation unit 33. Output.
  • the estimation unit 35 repeatedly compares the predicted value with the temperature range Rt and changes the tentative current value EBp until the predicted value of the temperature of the power transmission line 1B becomes a value within the temperature range Rt, so that the predicted value falls within the temperature range Rt. A tentative current value EBp when the value is within Rt is searched.
  • the estimation unit 35 determines that the tentative current value EBp when the predicted value of the temperature of the power transmission line 1B becomes a value within the temperature range Rt is the power transmission capacity of the power transmission line 1B, and calculates the determined power transmission capacity of the power transmission line 1B. , notifies the power generation device (not shown).
  • FIG. 5 is a flowchart defining an example of an operation procedure when the power transmission line management device according to the embodiment of the present disclosure estimates the temperature of a power transmission line.
  • FIG. 5 shows a flowchart when the power transmission line management device 301 predicts the temperature of the power transmission line 1AU.
  • power transmission line management device 301 waits for the arrival of the prediction timing according to the prediction cycle Ca (NO in step S11), and when the prediction timing arrives (YES in step S11), for example, until 4 hours later.
  • weather forecast information W1A, W2A is acquired (step S12).
  • the power transmission line management device 301 sets a provisional current value EAp. For example, the power transmission line management device 301 sets the initial value of the provisional current value EAp to a value obtained by adding a predetermined value to the actual current value of the power transmission line 1A at a certain time (step S13).
  • the power transmission line management device 301 predicts the power transmission line 1AU at the predicted time tp based on the predicted values of temperature, wind speed, and solar radiation at the predicted time tp, which are indicated by the weather forecast information W1A, and the provisional current value EAp.
  • a temperature calculation value Tpc1A is calculated (step S14).
  • the power transmission line management device 301 uses the weather prediction information W1A, W2A, the temporary current value EAp, and the learning model Md at the prediction time tp to obtain the estimated precipitation difference Dplain1 at the prediction time tp (step S15).
  • the power transmission line management device 301 calculates the value obtained by adding the estimated precipitation difference Dprain1 and the clear weather difference DsurA at the prediction time tp to the predicted temperature calculation value Tpc1A at the prediction time tp, as the temperature of the power transmission line 1AU at the prediction time tp. It is predicted that there is one (step S16).
  • the power transmission line management device 301 compares the predicted value of the temperature of the power transmission line 1AU at the predicted time tp with the temperature range Rt including the rated temperature Trat (step S17).
  • the power transmission line management device 301 resets the provisional current value EAp. Specifically, if the predicted value is less than the lower limit of the temperature range Rt, the power transmission line management device 301 changes the provisional current value EAp to a higher value, and if the predicted value is greater than the upper limit of the temperature range Rt, the power transmission line management device 301 changes the provisional current value EAp to a lower value (step S13). Then, the power transmission line management device 301 repeats steps S14, S15, S16, and S17.
  • the power transmission line management device 301 controls the temperature of the power transmission line 1A.
  • the tentative current value EAp when the predicted value converges within the temperature range Rt is determined to be the power transmission capacity of the power transmission line 1A, and the determined power transmission capacity of the power transmission line 1A is notified to the power generation device (not shown) (step S19). .
  • the power transmission line management device 301 waits for the arrival of a new prediction timing according to the prediction cycle Ca (NO in step S11).
  • FIG. 6 is a flowchart defining another example of the operation procedure when the power transmission line management device according to the embodiment of the present disclosure estimates the temperature of the power transmission line.
  • FIG. 6 shows a flowchart when the power transmission line management device 301 predicts the temperature of the power transmission line 1BU.
  • the power transmission line management device 301 waits for the arrival of a prediction timing according to the prediction cycle Ca (NO in step S21), and when the prediction timing arrives (YES in step S21), it acquires weather forecast information W1B, W2B for, for example, up to four hours later (step S22).
  • the power transmission line management device 301 sets a temporary current value EBp. For example, the power transmission line management device 301 sets the initial value of the tentative current value EBp to a value obtained by adding a predetermined value to the actual current value of the power transmission line 1B at a certain time (step S23).
  • the power transmission line management device 301 predicts the power transmission line 1BU at the predicted time tp based on the predicted values of the temperature, wind speed, and solar radiation at the predicted time tp, which are indicated by the weather forecast information W1B, and the provisional current value EBp.
  • a temperature calculation value Tpc2A is calculated (step S24).
  • the power transmission line management device 301 uses the weather prediction information W1B, W2B, the temporary current value EBp, and the learning model Md at the prediction time tp to obtain the estimated precipitation difference Dplain2 at the prediction time tp (step S25).
  • the power transmission line management device 301 predicts that the value obtained by adding the estimated precipitation difference Dplain2 at the predicted time tp to the predicted temperature calculation value Tpc2A at the predicted time tp is the temperature of the power transmission line 1BU at the predicted time tp ( Step S26).
  • the power transmission line management device 301 compares the predicted value of the temperature of the power transmission line 1BU at the predicted time tp with the temperature range Rt including the rated temperature Trat (step S27).
  • the power transmission line management device 301 resets the temporary current value EBp. Specifically, when the predicted value is less than the lower limit of the temperature range Rt, the power transmission line management device 301 changes the tentative current value EBp to a higher value so that the predicted value is lower than the upper limit of the temperature range Rt. If the current value EBp is also large, the temporary current value EBp is changed to a lower value (step S23). Then, the power transmission line management device 301 repeats steps S24, S25, S26, and S27.
  • the transmission line management device 301 determines that the provisional current value EBp when the predicted value of the temperature of transmission line 1B converges within the temperature range Rt is the transmission capacity of transmission line 1B, and notifies the power generation device (not shown) of the calculated result of the determined transmission capacity of transmission line 1BU (step S29).
  • the power transmission line management device 301 waits for the arrival of a new prediction timing according to the prediction cycle Ca (NO in step S21).
  • the estimation unit 35 is configured to predict the temperature of the power transmission line 1A, predict the temperature of the power transmission line 1B, and determine the temperature of the power transmission line 1B. However, it is not limited to this.
  • the estimation unit 35 may be configured to not perform part of the prediction of the temperature of the power transmission line 1A, the prediction of the temperature of the power transmission line 1B, and the determination of the temperature of the power transmission line 1B.
  • the estimation unit 35 is configured to acquire the estimated precipitation difference Dprain using the learning model Md, but this is not limited to this.
  • the estimation unit 35 may be configured to calculate the estimated precipitation difference Dprain1 based on the weather forecast information W1A and W2A without using the learning model Md, or may be configured to acquire the estimated precipitation difference Dprain1 from a device outside the power transmission line management device 301.
  • the estimation unit 35 may be configured to calculate the estimated precipitation difference Dprain2 based on the weather forecast information W1B and W2B without using the learning model Md, or may be configured to acquire the estimated precipitation difference Dprain2 from a device outside the power transmission line management device 301.
  • the calculation unit 33 calculates the actual temperature based on the temperature, wind speed, and solar radiation amount indicated by the sensor information S3, and the current value indicated by the sensor information S1.
  • the calculation unit 33 may be configured to calculate the actual temperature calculation values Tac1 and Tac2 based on the current value indicated by the power generation record received from the power generation device (not shown) instead of the current value indicated by the sensor information S1. good.
  • the estimation unit 35 estimates the temperature of the power transmission lines 1A, 1B based on the sensor information S3, S4 and the value of the current flowing through the power transmission lines 1A, 1B.
  • the present invention is not limited to this configuration.
  • the estimation unit 35 may be configured to estimate the temperature of the power transmission lines 1A and 1B by taking into account the wind direction.
  • the weather sensor 211 further measures the wind direction indicating the environment of the steel tower 2A, specifically the wind direction based on the direction orthogonal to the power transmission line 1A.
  • the weather sensor 212 further measures the wind direction indicating the environment of the steel tower 2B, specifically, the wind direction based on the direction orthogonal to the power transmission line 1B.
  • the collection device 251 includes sensor information S3x, which further indicates the measurement result of the wind direction by the weather sensor 211, in the collected information CD1 instead of the sensor information S3, and transmits the collected information CD1 to the power transmission line management device 301.
  • the collection device 252 includes sensor information S3x, which further indicates the measurement result of the wind direction by the weather sensor 212, in the collected information CD2 instead of the sensor information S3, and transmits the collected information CD2 to the power transmission line management device 301.
  • the receiving unit 31 acquires the sensor information S3x from each of the collected information CD1 and CD2, and stores it in the storage unit 36.
  • the forecast information acquisition unit 32 acquires weather forecast information W1Ax that further indicates the forecast results of the wind direction in the area including the position of the tower 2A, and stores this in the memory unit 36.
  • the forecast information acquisition unit 32 acquires weather forecast information W1Bx that further indicates the forecast results of the wind direction in the area including the position of the tower 2B, and stores this in the memory unit 36.
  • the creation unit 34 uses the sensor information S3x acquired by the reception unit 31 to create an object of a predetermined length T1 from the (nk)th measurement time tm(nk) to the nth measurement time tmn.
  • the average value Av3 of the wind direction at three or more measurement times tm within the period is calculated.
  • the creation unit 34 calculates the average value Av3 of the wind direction at three or more measurement times tm within the period of length T1 from measurement time tm(n-k+1) to measurement time tm(n+1).
  • the creation unit 34 creates time series data TDA3 consisting of a plurality of time series average values Av3 by shifting the measurement time tm, which is the starting point of the target period, by one.
  • the creation unit 34 creates a learning model Mdx using the time series data TDA1, TDA2, TDA3, TDA4, TDA5, and TDA6 that are explanatory variables and the time series data TDrain that is an objective variable.
  • Calculation unit 33 calculates actual temperature calculation value Tac1 based on sensor information S3x instead of sensor information S3. More specifically, calculation unit 33 calculates actual temperature calculation value Tac1A at a certain measurement time tm based on the air temperature, wind speed, wind velocity, and solar radiation at a certain measurement time tm indicated by sensor information S3x and the value of the current flowing through power transmission line 1AU at the same measurement time tm indicated by sensor information S1, according to a calculation method described, for example, in Non-Patent Document 1. Calculation unit 33 similarly calculates actual temperature calculation values Tac1B and Tac1C based on sensor information S3x instead of sensor information S3.
  • the calculation unit 33 calculates the actual temperature calculation value Tac2 based on the sensor information S3x instead of the sensor information S3. More specifically, the calculation unit 33 calculates the temperature, wind speed, wind speed, and solar radiation amount at a certain measurement time tm indicated by the sensor information S3x, and the sensor information S1 according to the calculation method described in, for example, Non-Patent Document 1.
  • the actual temperature calculation value Tac2A at the same measurement time tm is calculated based on the value of the current flowing through the power transmission line 1BU at the same measurement time tm shown in FIG.
  • the calculation unit 33 calculates actual temperature calculation values Tac2B and Tac2C based on the sensor information S3x instead of the sensor information S3.
  • the estimation unit 35 estimates the temperature of the power transmission lines 1A and 1B by the method described above based on the sensor information S3x instead of the sensor information S3.
  • the power transmission capacity of a power transmission line is determined to be a value within a range where the temperature of the power transmission line is equal to or lower than a predetermined allowable temperature.
  • the temperature of power transmission lines is estimated assuming harsher environmental conditions than reality, without taking into account the cooling effect of precipitation on power lines.
  • the power transmission capacity of the transmission line determined by the above is an undervalued value.
  • the receiving unit 31 acquires sensor information S3 indicating the temperature, wind speed, and amount of solar radiation, and sensor information S4 indicating the amount of precipitation.
  • the estimation unit 35 estimates the temperature of the power transmission line based on the sensor information S3, S4 acquired by the reception unit 31 and the value of the current flowing through the power transmission line.
  • the configuration estimates the temperature of power lines based on the amount of precipitation, which allows transmission to take into account the cooling effect of precipitation on power lines.
  • the temperature of the wire can be estimated. Therefore, the temperature of the power transmission line can be estimated more accurately.
  • Each process (each function) of the above-described embodiment is realized by a processing circuit (Circuitry) including one or more processors.
  • the processing circuit may include an integrated circuit or the like in which one or more memories, various analog circuits, and various digital circuits are combined.
  • the one or more memories store programs (instructions) that cause the one or more processors to execute each of the above processes.
  • the one or more processors may execute each of the above processes according to the program read from the one or more memories, or may execute each of the above processes according to a logic circuit designed in advance to execute each of the above processes. May be executed.
  • the above processors include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a DSP (Digital Signal Processor), and an FPGA (Field Programmer). various types that are compatible with computer control, such as mmable Gate Array) and ASIC (Application Specific Integrated Circuit). processor.
  • the plurality of physically separated processors may cooperate with each other to execute each of the above processes.
  • the processors installed in each of a plurality of physically separated computers cooperate with each other via networks such as a LAN (Local Area Network), a WAN (Wide Area Network), and the Internet to perform each of the above processes. May be executed.
  • the above program may be installed in the above memory from an external server device etc.
  • CD-ROM Compact Disc Read Only Memory
  • DVD-ROM Digital Versatile Disk Read Only Memory
  • semiconductors It may be distributed in a state stored in a recording medium such as a memory, and installed into the memory from the recording medium.
  • a first acquisition unit that acquires meteorological data indicating temperature, wind speed, and solar radiation
  • a second acquisition unit that acquires precipitation data indicating the amount of precipitation
  • Estimating the temperature of the power transmission line based on the weather data acquired by the first acquisition unit, the precipitation data acquired by the second acquisition unit, and the value of the current flowing through the power transmission line. Equipped with a
  • the estimating unit is a power transmission line management device that predicts the temperature of the power transmission line and calculates the power transmission capacity of the power transmission line based on the prediction result.
  • the processing circuit includes: Obtain weather data showing temperature, wind speed and solar radiation, Obtain precipitation data that shows the amount of precipitation, estimating the temperature of the power transmission line based on the weather data acquired by the first acquisition unit, the precipitation data acquired by the second acquisition unit, and the value of the current flowing through the power transmission line; Power transmission line management device.

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  • Atmospheric Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Ecology (AREA)
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  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
PCT/JP2023/017827 2022-09-22 2023-05-12 送電線管理装置、送電線温度推定方法および送電線温度推定プログラム Ceased WO2024062672A1 (ja)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2024062672A1 (https=) * 2022-09-22 2024-03-28

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08242534A (ja) * 1995-02-28 1996-09-17 Nissin Electric Co Ltd 電線路の温度監視方法
JP2009065796A (ja) * 2007-09-07 2009-03-26 Chugoku Electric Power Co Inc:The 架空送電線の電流容量動的決定装置、これに用いるコンピュータプログラム及び架空送電線の電流容量動的決定方法

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JP7722594B2 (ja) 2022-09-22 2025-08-13 住友電気工業株式会社 送電線管理装置、送電線温度推定方法および送電線温度推定プログラム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08242534A (ja) * 1995-02-28 1996-09-17 Nissin Electric Co Ltd 電線路の温度監視方法
JP2009065796A (ja) * 2007-09-07 2009-03-26 Chugoku Electric Power Co Inc:The 架空送電線の電流容量動的決定装置、これに用いるコンピュータプログラム及び架空送電線の電流容量動的決定方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPWO2024062672A1 (https=) * 2022-09-22 2024-03-28
JP7722594B2 (ja) 2022-09-22 2025-08-13 住友電気工業株式会社 送電線管理装置、送電線温度推定方法および送電線温度推定プログラム

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