JP6842142B1 - Power supply control system, disaster analyzer, and power supply control method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To more appropriately control an electric power supply in the event of a disaster. A power supply control system that controls the supply of electric power includes a consumer equipment model that models the normal state of consumer equipment and a consumer equipment model that models the state of consumer equipment at the time of a disaster. A disaster analyzer that analyzes the damaged state of consumer equipment and calculates the estimated power demand during a disaster, which is an estimated value of the power demand of consumer equipment at the time of a disaster, based on the damaged state of the consumer equipment. And a power supply control device that controls the power supply to the consumer equipment at the time of a disaster based on the estimated power demand at the time of the disaster of the consumer equipment. [Selection diagram] Fig. 1

Description

The present disclosure relates to a power supply control system, a disaster analyzer, and a power supply control method.

For the stability of the electric power system, a balance between the electric power supplied to the consumer and the electric power used by the consumer is required (for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2020-14297

However, when a disaster such as an earthquake or flood occurs and the consumer equipment such as factories, buildings, shops or houses is damaged, the power demand of the consumer equipment at the time of the disaster greatly deviates from the power demand of the consumer equipment in normal times. Therefore, stable power supply becomes difficult. Further, in the event of a disaster, electric leakage or ground fault may occur, so that the electric power being supplied to the consumer equipment does not always correspond to the demanded electric power of the consumer equipment, and stable power supply becomes difficult.

An object of the present disclosure is to more appropriately control the power supply in the event of a disaster.

The power supply system according to one aspect of the present disclosure is a power supply control system that controls the supply of power, and is a consumer equipment model that models the normal state of the consumer equipment and a disaster of the consumer equipment. The damaged state of the consumer equipment is analyzed in comparison with the consumer equipment model that models the state at the time, and based on the damaged state of the consumer equipment, the required power of the consumer equipment at the time of the disaster A disaster analyzer that calculates the estimated power demand during a disaster, which is an estimated value, and a power supply control device that controls the power supply to the customer equipment at the time of the disaster based on the estimated power demand at the time of the disaster of the consumer equipment. And.

The disaster analyzer according to one aspect of the present disclosure is a disaster analyzer that analyzes a disaster, and is a consumer equipment model that models the normal state of the consumer equipment and a state of the consumer equipment at the time of a disaster. The damage analysis unit that analyzes the damaged state of the consumer equipment by comparing with the customer equipment model that models the above, and the power demand of the customer equipment at the time of the disaster based on the damaged state of the customer equipment. It is provided with a demand power estimation unit for calculating the disaster estimated demand power which is an estimated value of.

The power supply control method according to one aspect of the present disclosure is a power supply control method in which the power supply is controlled by a power supply control system, and is a consumer equipment model that models the normal state of the consumer equipment and a consumer equipment model. The damaged state of the consumer equipment is analyzed in comparison with the consumer equipment model that models the state of the consumer equipment at the time of a disaster, and the demand at the time of the disaster is based on the damaged state of the consumer equipment. The estimated power demand at the time of a disaster, which is an estimated value of the power demand of the house equipment, is calculated, and the power supply to the customer equipment at the time of the disaster is controlled based on the estimated power demand at the time of the disaster of the consumer equipment.

It should be noted that these comprehensive or specific aspects may be realized by a system, a device, a method, an integrated circuit, a computer program or a recording medium, and any of the system, the device, the method, the integrated circuit, the computer program and the recording medium It may be realized by various combinations.

According to the present disclosure, it is possible to more appropriately control the power supply in the event of a disaster.

It is a schematic diagram which shows the structural example of the power supply control system which concerns on this Embodiment. It is a block diagram which shows the structural example of the disaster analysis apparatus which concerns on this embodiment. It is a schematic diagram which shows the example of the consumer equipment which the rate of damage is 0%. It is a schematic diagram which shows the example of the consumer equipment which the rate of damage is 70%. It is a block diagram which shows the structural example of the power supply control device which concerns on this embodiment. It is a block diagram which shows the structural example of the display device which concerns on this Embodiment. It is a flowchart which shows an example of the process executed by the disaster analysis apparatus which concerns on this embodiment. It is a flowchart which shows an example of the process executed by the power supply control device which concerns on this Embodiment. It is a block diagram which shows the hardware configuration example of the disaster analysis apparatus, the power supply control apparatus, and the display apparatus which concerns on this disclosure.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings as appropriate. However, more detailed explanation than necessary may be omitted. For example, detailed explanations of already well-known matters and duplicate explanations for substantially the same configuration may be omitted. This is to avoid unnecessary redundancy of the following description and to facilitate the understanding of those skilled in the art. It should be noted that the accompanying drawings and the following description are provided for those skilled in the art to fully understand the present disclosure, and are not intended to limit the subject matter of the claims.

(Implementation)
<Configuration of power supply control system>
FIG. 1 is a schematic diagram showing a configuration example of the power supply control system 1 according to the present embodiment.

The electric power generated at the power plant 2 is supplied to each consumer equipment 10 existing in a predetermined area 6 through the substation 3, the transmission network 4, and the distribution network 5, and is used by the consumer equipment 10. .. Area 6 may correspond to a controlled compartment based on the transmission system and / or the distribution system. Alternatively, the area 6 may correspond to a section based on an address, or may correspond to a section based on a predetermined area. Examples of the consumer equipment 10 include factories, buildings, shops, houses, and the like. Equipment on the power supply side, such as a power plant 2, a substation 3, a power grid 4, a distribution network 5, a steel tower, and a utility pole, is referred to as a power distribution facility 20.

The electric power supply control system 1 is a system that controls the electric power supply from the electric power distribution equipment 20 to the consumer equipment 10. As shown in FIG. 1, for example, the power supply control system 1 includes an image pickup device 31, a laser scanner 32, a disaster analysis device 100, a power supply control device 200, and a display device 300.

The disaster analysis device 100, the power supply control device 200, and the display device 300 can transmit and receive data to and from each other through the communication network 25. Examples of the communication network 25 include a wired LAN (Local Area Network), a wireless LAN, a mobile communication network (for example, LTE (Long Term Evolution), 4G, 5G), and an Internet network.

The image pickup device 31 and the laser scanner 32 can send and receive data to and from the disaster analysis device 100 through the communication network 26. Examples of the communication network 26 include a wireless LAN, a mobile communication network (for example, LTE, 4G, 5G), and Bluetooth.

The laser scanner 32 and the imaging device 31 are provided in an unmanned aerial vehicle 30 represented by a drone. The unmanned aerial vehicle 30 flies over area 6.

The image pickup apparatus 31 images the consumer equipment 10 and the power distribution equipment 20 existing in the area 6 from the sky above the area 6 and generates image data 131 (see FIG. 2).

The laser scanner 32 scans the consumer equipment 10 and the power distribution equipment 20 existing in the area 6 in 3D (three-dimension) from the sky above the area 6 and generates 3D point cloud data 132 (see FIG. 2). The 3D point cloud data 132 is data composed of a plurality of 3D coordinate points, and the 3D coordinate points correspond to reflection points on the object surface of the laser irradiated from the laser scanner 32. That is, it can be said that the 3D point cloud data 132 is data indicating the three-dimensional shape of the object.

In normal times, the unmanned aerial vehicle 30 may be periodically skipped to image the area 6 and perform a 3D scan. In the event of a disaster, the unmanned aerial vehicle 30 may be immediately skipped to perform imaging and 3D scanning of the area 6, and repeated imaging and 3D scanning may be performed at a shorter frequency than in normal times.

The disaster analyzer 100 receives the image data 131 and the 3D point group data 132 from the image pickup device 31 and the laser scanner 32, respectively, through the communication network 26, and uses the image data 131 and the 3D point group data 132 to move to the area 6. Model data of the existing consumer equipment 10 (hereinafter referred to as consumer equipment model 133 (see FIG. 2)) and model data of the power distribution equipment 20 existing in the area 6 (hereinafter referred to as power distribution equipment model 134 (see FIG. 2)). ) And) are generated. The model data is data showing the shape of the object and the color, texture, pattern, etc. of the surface of the object. In the present embodiment, 3D model data will be described as an example, but the model data may be 2D model data. The 3D model data may be texture-mapped image data 131 to the 3D point cloud data 132.

The disaster analyzer 100 uses the image data 131 and the 3D point cloud data 132 imaged and 3D scanned in normal times to generate the consumer equipment model 133A and the power distribution equipment model 134A in normal times. The disaster analyzer 100 uses the image data 131 captured at the time of the disaster and the 3D point cloud data 132 scanned in 3D to generate the consumer equipment model 133B and the power distribution equipment model 134B at the time of the disaster. The disaster analyzer 100 compares the consumer equipment model 133A in normal times with the consumer equipment model 133B in the event of a disaster, and analyzes the damaged state of the consumer equipment 10. The disaster analyzer 100 estimates the power demand of the consumer equipment 10 at the time of a disaster based on the analyzed damaged state of the consumer equipment 10. The estimated power demand at the time of a disaster is referred to as an estimated power demand at the time of a disaster 136 (see FIG. 2).

The disaster analyzer 100 estimates the estimated disaster power demand 136 (see FIG. 2) in the area 6 based on the total of the estimated disaster power demand 136 of the plurality of consumer equipment 10 existing in the area 6.

The disaster analyzer 100 analyzes the damaged state of the power distribution equipment 20 by comparing the normal power distribution equipment model 134A existing in the area 6 with the power distribution equipment model 134B at the time of a disaster. The details of the disaster analyzer 100 will be described later.

The electric power supply control device 200 is a device that controls the electric power distribution equipment 20 so that electric power is appropriately supplied to each consumer equipment 10. For example, the electric power supply control device 200 measures the electric power being supplied to the consumer equipment 10 through the electric power security communication network wired along the transmission network 4 and the distribution network 5.

The power supply control device 200 may control the circuit breakers provided in the power transmission network 4 and the distribution network 5 to cut off the power supply to the specific consumer equipment 10.

The power supply control device 200 may control the operation of the power plant 2 and the substation 3 so that the power supply that is balanced with the demand power of the consumer equipment 10 can be provided to the consumer equipment 10.

The power supply control device 200 controls the power supply to the consumer equipment 10 at the time of a disaster based on the estimated power demand 136 at the time of the disaster of the consumer equipment 10 calculated by the disaster analysis device 100. As a result, the balance between the estimated power demand demand during a disaster and the power supply can be maintained, and the power can be stably supplied even during a disaster. The details of the power supply control device 200 will be described later.

The power supply control device 200 may determine and control the power supply path of the area 6 at the time of a disaster based on the analyzed damage state of the power distribution facility 20.

The display device 300 includes, for example, the map data 137 of the area 6 (see FIG. 2), the consumer equipment model 133B and the consumer equipment model 133B at the time of a disaster arranged on the map data 137, and the consumer equipment model. The estimated power demand 136 at the time of a disaster of 133B is displayed. The details of the display device 300 will be described later.

<Disaster analyzer configuration>
FIG. 2 is a block diagram showing a configuration example of the disaster analyzer 100 according to the present embodiment. The disaster analyzer 100 will be described in detail with reference to FIG.

The disaster analysis device 100 includes an information storage unit 101, a data reception unit 102, a model generation unit 103, a damage analysis unit 104, a demand power estimation unit 105, and an information transmission / reception unit 106. The information storage unit 101 may be realized by the memory 1002 and / or the storage 1003 shown in FIG. The data receiving unit 102 and the information transmitting / receiving unit 106 may be realized by the processor 1001 shown in FIG. 8 cooperating with the communication device 1006. The model generation unit 103, the damage analysis unit 104, and the demand power estimation unit 105 may be realized by the processor 1001 shown in FIG. 8 cooperating with the memory 1002.

The information storage unit 101 stores data and information handled by the disaster analysis device 100.

The data receiving unit 102 receives the image data 131 imaged and generated by the image pickup device 31 from the image pickup device 31 and stores the image data 131 in the information storage unit 101. Further, the data receiving unit 102 receives the 3D point cloud data 132 3D-scanned by the laser scanner 32 from the laser scanner 32 and stores it in the information storage unit 101.

The model generation unit 103 uses the image data 131 captured in normal times and the 3D point cloud data 132 scanned in 3D to use the consumer equipment model 133A in normal times and the power distribution equipment model 134A in normal times existing in the area 6. To generate. In the present embodiment, the case where the consumer equipment model 133 and the power distribution equipment model 134 are 3D model data will be described. However, the consumer equipment model 133 and the power distribution equipment model 134 may be 2D model data. The model generation unit 103 stores the generated normal customer equipment model 133A and the normal power distribution equipment model 134B in the information storage unit 101.

The model generation unit 103 uses the image data 131 captured at the time of the disaster and the 3D point cloud data 132 scanned in 3D to use the customer equipment model 133B at the time of the disaster and the power distribution equipment model 134B at the time of the disaster existing in the area 6. To generate. The model generation unit 103 stores the generated customer equipment model 133B at the time of a disaster and the power distribution equipment model 134B at the time of a disaster in the information storage unit 101.

The damage analysis unit 104 compares the customer equipment model 133A in normal times with the consumer equipment model 133B in the event of a disaster, and analyzes the damage state of the customer equipment 10. The damage analysis unit 104 writes the damaged state of the analyzed customer equipment 10 in the damage information 135. The damage analysis unit 104 analyzes the damaged state of the power distribution equipment 20 by comparing the power distribution equipment model 134A in normal times with the power distribution equipment model 134B in the event of a disaster. The damage analysis unit 104 writes the damaged state of the analyzed power distribution equipment 20 in the damage information 135.

The damage information 135 may include information for identifying the equipment in which damage has occurred in each area 6 as a result of analysis of the damage state of the equipment, and information indicating the rate of damage of the equipment. The information indicating the rate of damage to the equipment may be 100% when the equipment is completely destroyed, 50% when the equipment is partially destroyed, and 0% when the equipment is not damaged.

The damage analysis unit 104 uses a set of a plurality of models 133, 134 including the models 133, 134 before and after the damage and the damage ratio of each model 133, 134 as teacher data, and uses a learning device related to artificial intelligence. May be generated. Then, the damage analysis unit 104 may input the models 133 and 134 to be analyzed into the learner and estimate the damage ratio of the models 133 and 134. The learning device related to artificial intelligence may be a CNN (convolutional neural network) classifier.

For example, the damage analysis unit 104 classifies the damage ratio of the consumer equipment 10 indicated by the image data 131 in 10% increments between 0% and 100% with respect to the plurality of image data 131, and classifies the image data 131 and the classification thereof. The CNN (convolutional neural network) classifier is trained using the set with the damaged rate as the teacher data. Then, the damage analysis unit 104 inputs the image data 131 to be analyzed into the learned CNN classifier, and calculates the damage ratio of the consumer equipment 10 indicated by the image data 131. For example, as shown in FIG. 3A, the classifier may calculate the damage rate as 0% when the image data 131 including the consumer equipment 10 which is not damaged at all is input. For example, the classifier may calculate the damage rate as 100% when the image data 131 including the completely destroyed consumer equipment 10 is input. For example, as shown in FIG. 3B, the classifier may calculate the damage rate as 70% when the image data 131 including the consumer equipment 10 which is damaged by about 70% is input. The damage analysis unit 104 may generate the above-mentioned learning device (classifier) by using the 3D point cloud data 132 obtained by 3D scanning the consumer equipment 10 instead of the image data 131. In this case, the damage analysis unit 104 inputs the 3D point cloud data 132 to be analyzed into the generated learning device (classifier), and calculates the damage rate of the consumer equipment 10 indicated by the 3D point cloud data 132. You can do it. Alternatively, the damage analysis unit 104 may generate the above-mentioned learning device (classifier) by using the consumer equipment model 133 instead of the image data 131. In this case, the damage analysis unit 104 inputs the consumer equipment model 133 to be analyzed into the generated learning device (classifier), and calculates the damage ratio of the consumer equipment 10 indicated by the consumer equipment model 133. You can do it.

The demand power estimation unit 105 calculates the disaster estimated demand power 136 of the consumer equipment 10 based on the average demand power of the consumer equipment 10 in normal times and the damaged state of the consumer equipment 10 indicated by the damage information 135. To do.

Alternatively, the demand power estimation unit 105 may generate a learning device related to artificial intelligence by using a set of the damage ratio of the consumer equipment 10 in the past disaster and the demand power in the damaged state as teacher data. Then, the demand power estimation unit 105 may input the rate of damage of the consumer equipment 10 at the time of a disaster into the generated learning device, and calculate the disaster estimated demand power 136 of the consumer equipment 10. In that case, the demand power estimation unit 105 generates a set of the damage ratio of the consumer equipment 10 and the demand power in the damaged state by the regression analysis function, and uses the generated set as teacher data as a CNN classifier. You may study. Then, the demand power estimation unit 105 may calculate the disaster estimated demand power 136 by using the learned CNN classifier. The damage rate of the consumer equipment 10 may be a value calculated by the damage analysis unit 104 using the learning device as described above.

The demand power estimation unit 105 may calculate the disaster estimated demand power 136 of the consumer equipment 10 based on the rate of damage of the consumer equipment 10. For example, when the damage rate of the consumer equipment 10 is 50%, the demand power estimation unit 105 calculates the average demand power of the consumer equipment 10 in normal times × 50%, and uses the calculated value as the demand. The estimated power demand at the time of disaster of the house equipment 10 may be 136.

The demand power estimation unit 105 may calculate the disaster estimated demand power 136 of the area 6 based on the disaster estimated demand power 136 of each consumer equipment 10 existing in the area 6. For example, the demand power estimation unit 105 may calculate the total of the disaster estimated demand power 136 of each consumer equipment 10 existing in the area 6, and use the calculated value as the disaster estimated demand power 136 of the area 6.

The demand power estimation unit 105 may calculate the disaster estimated demand power 136 of the consumer equipment 10 based on whether or not there is a person in the damaged consumer equipment 10. For example, when the demand power estimation unit 105 does not have a person in the consumer equipment 10 due to evacuation or the like, even if the damage rate of the consumer equipment 10 is larger than 0%, the demand power estimation unit 105 of the consumer equipment 10 The estimated power demand 136 at the time of a disaster may be calculated as 0. The demand power estimation unit 105 may determine whether or not a person exists in the consumer equipment 10 by detecting, for example, the position information of a mobile phone possessed by the person. Alternatively, the demand power estimation unit 105 may determine that no person already exists in the consumer equipment 10 (for example, a residence) of the person whose identity has been confirmed at the evacuation center.

The demand power estimation unit 105 stores the calculated disaster estimated demand power 136 in the information storage unit 101.

The information transmission / reception unit 106 transmits / receives various information to / from the power supply control device 200 and the display device 300. For example, the information transmission / reception unit 106 transmits the damage information 135 and the estimated disaster power demand 136 to the power supply control device 200. For example, the information transmission / reception unit 106 includes a normal customer equipment model 133A, a disaster consumer equipment model 133B, a normal power distribution equipment model 134A, a disaster power distribution equipment model 134B, damage information 135, and the like. The estimated disaster power demand 136 is transmitted to the display device 300.

<Configuration of power supply control device>
FIG. 4 is a block diagram showing a configuration example of the power supply control device 200 according to the present embodiment. The power supply control device 200 will be described in detail with reference to FIG.

The power supply control device 200 includes an information storage unit 201, an information transmission / reception unit 202, a power supply measurement unit 203, an electric leakage determination unit 204, a power supply control unit 205, and a mobile power supply vehicle dispatch unit 206. The information storage unit 201 may be realized by the memory 1002 and / or the storage 1003 shown in FIG. The information transmission / reception unit 202 may be realized by the processor 1001 shown in FIG. 8 cooperating with the memory 1002 and the communication device 1006. The power supply measuring unit 203, the leakage determination unit 204, the power supply control unit 205, and the mobile power supply vehicle dispatching unit 206 may be realized by the processor 1001 shown in FIG. 8 cooperating with the memory 1002.

The information storage unit 201 stores data and information handled by the power supply control device 200.

The information transmission / reception unit 202 transmits / receives various information to / from the disaster analysis device 100 and the display device 300. For example, the information transmission / reception unit 202 receives the damage information 135 and the estimated disaster power demand 136 from the disaster analysis device 100 and stores them in the information storage unit 201.

The power supply measuring unit 203 measures the power being supplied to the area 6 (hereinafter referred to as the power being supplied 232) through the power security communication network, and stores it in the information storage unit 201.

The earth leakage determination unit 204 determines whether or not there is a possibility that an electric leakage or a ground fault has occurred in the area 6 based on the power being supplied in the area 6 232 and the estimated power demand 136 in the area 6 at the time of a disaster. Is determined. For example, the earth leakage determination unit 204 states that if the power supply 232 in the area 6 is larger than the estimated disaster power demand 136 in the area 6, an earth leakage or a ground fault may have occurred in the area 6. judge. When the electric power 232 supplied to the area 6 is larger than the estimated power demand 136 at the time of a disaster in the area 6, a part of the electric power supplied to the area 6 is not due to the consumer equipment 10 but due to an electric leakage or a ground fault. This is because it is highly likely that it is being consumed.

The power supply control unit 205 determines the power supply path in the power transmission network 4 and the distribution network 5 based on the damage state of the power distribution facility 20 included in the damage information 135. For example, the power supply control unit 205 determines a power supply route that bypasses the damaged power distribution facility 20. For example, the power supply control unit 205 determines a power supply route that cuts off the power supply to the area 6 or the consumer equipment 10 determined to have an electric leakage or a ground fault. The power supply control unit 205 controls the opening and closing of the circuit breakers provided in the power transmission network 4 and the distribution network 5 so that the power flows according to the determined power supply path.

Further, the power supply control unit 205 controls the power generation of the power plant 2 and the power to be sent to the power transmission network 4 and the distribution network 5 based on the estimated power demand 136 at the time of a disaster. For example, in the power supply control unit 205, when the estimated power demand during a disaster in area 6 is 50% of the normal power demand in the area 6, 50% of the average power demand in the normal time in the area 6 is 50%. The power generation at the power plant 2 and the power flowing through the power grid 4 and the power grid 5 are controlled so as to be supplied to the area 6 in the event of a disaster.

The mobile power supply vehicle dispatching unit 206 determines the vehicle allocation destination of the mobile power supply vehicle 7 based on the damaged state of the power distribution equipment 20 and the consumer equipment 10 indicated by the damage information 135. The mobile power supply vehicle 7 may be a vehicle (for example, a trailer) capable of supplying electric power having at least one of power generation capacity and storage capacity.

For example, the mobile power supply vehicle dispatching unit 206 identifies a consumer equipment 10 in which power is not supplied in the power supply path and the estimated power demand 136 at the time of a disaster is larger than 0, and power is supplied to the specified customer equipment 10. It is decided to dispatch the mobile power supply vehicle 7 to a place where it can be done. An example of the consumer equipment 10 in which the estimated power demand 136 at the time of a disaster is larger than 0 is the consumer equipment 10 in which the damage rate is larger than 0% and there are people.

The mobile power supply vehicle dispatching unit 206 is not limited to the mobile power supply vehicle 7, and may determine the destination of a ship or a moving body having at least one of power generation capacity and storage capacity.

<Display device configuration>
FIG. 5 is a block diagram showing a configuration example of the display device 300 according to the present embodiment. The display device 300 will be described in detail with reference to FIG.

The display device 300 includes an information storage unit 301, an information transmission / reception unit 302, a display processing unit 303, and an operation processing unit 304. The information storage unit 301 may be realized by the memory 1002 and / or the storage 1003 shown in FIG. The information transmission / reception unit 302 may be realized by the processor 1001 shown in FIG. 8 cooperating with the memory 1002 and the communication device 1006. The display processing unit 303 may be realized by the processor 1001 shown in FIG. 8 cooperating with the memory 1002, the output device 1005, and the GPU 1007. The operation processing unit 304 may be realized by the processor 1001 shown in FIG. 8 cooperating with the memory 1002 and the input device 1004.

The information transmission / reception unit 302 transmits / receives various information to / from the disaster analysis device 100 and the power supply control device 200.

The display processing unit 303 arranges the customer equipment model 133B at the time of a disaster and the power distribution equipment model 134B at the time of a disaster on the 2D or 3D map data 137 to generate a 2D or 3D digital twin model 331. The display processing unit 303 displays the generated digital twin model 331 on an output device 1005 (see FIG. 8) represented by a display. The display processing unit 303 may display a place where an electric leakage or a ground fault indicated by the electric leakage information 233 may occur together with the digital twin model 331. The display processing unit 303 may display the estimated power demand 136 at the time of disaster of the consumer equipment 10 and the area 6 together with the digital twin model 331.

The digital twin model 331 may be generated by the disaster analyzer 100. In this case, the disaster analysis device 100 may transmit the generated digital twin model 331 to the display device 300, and the display processing unit 303 of the display device 300 may use the digital twin model 331 received from the disaster analysis device 100.

The operation processing unit 304 processes the operation performed by the user on the input device 1004 (see FIG. 8). Examples of the input device 1004 include a keyboard, a mouse, and a touch pad. For example, the operation processing unit 304 accepts operations such as enlarging, reducing, moving the viewpoint, and rotating the digital twin model 331 displayed on the output device 1005. This allows the user to view the 2D or 3D digital twin model 331 from various perspectives.

<Processing performed by the disaster analyzer>
FIG. 6 is a flowchart showing an example of processing executed by the disaster analysis device 100 according to the present embodiment. The process executed by the disaster analyzer 100 will be described with reference to FIG. When a disaster occurs, the disaster analyzer 100 may repeatedly execute the process shown in FIG.

As S101, the data receiving unit 102 receives the image data 131 that captures the area 6 in which the disaster has occurred from the imaging device 31, and stores the image data 131 in the information storage unit 101.

As S102, the data receiving unit 102 receives the 3D point cloud data 132 obtained by 3D scanning the disaster area 6 from the laser scanner 32 and stores it in the information storage unit 101.

As S103, the model generation unit 103 uses the 3D point cloud data 132 and the image data 131 to generate the power distribution equipment model 134B at the time of a disaster and stores it in the information storage unit 101.

As S104, the model generation unit 103 uses the 3D point cloud data 132 and the image data 131 to generate the customer equipment model 133B at the time of a disaster and stores it in the information storage unit 101.

As S105, the damage analysis unit 104 analyzes the damaged state of the power distribution equipment 20 by comparing the power distribution equipment model 134A in normal times with the power distribution equipment model 134B at the time of a disaster generated in S103. The damage analysis unit 104 writes the analyzed damage state of the power distribution equipment 20 (for example, the rate of damage of the power distribution equipment 20) in the damage information 135 in the information storage unit 101.

As S106, the damage analysis unit 104 analyzes the damaged state of the consumer equipment 10 by comparing the consumer equipment model 133A in normal times with the customer equipment model 133B in the event of a disaster generated in S104. The damage analysis unit 104 writes the damaged state of the analyzed customer equipment 10 (for example, the rate of damage of the customer equipment 10) in the damage information 135 in the information storage unit 101.

As S107, the demand power estimation unit 105 calculates the disaster estimated demand power 136 of the consumer equipment 10 based on the average demand power of the consumer equipment 10 in normal times and the damaged state of the consumer equipment 10. To do. The demand power estimation unit 105 stores the calculated disaster estimated demand power 136 in the information storage unit 101.

<Processes executed by the power supply controller>
FIG. 7 is a flowchart showing an example of processing executed by the power supply control device 200 according to the present embodiment. The process executed by the power supply control device 200 will be described with reference to FIG. 7. The power supply control device 200 may appropriately execute the process shown in FIG. 7.

As S201, the power supply measuring unit 203 measures the power supply 232 to the consumer equipment 10 through the power security communication network and stores it in the information storage unit 201.

As S202, the earth leakage determination unit 204 determines whether or not the power being supplied 232 is larger than the estimated demand power 136 at the time of a disaster.

When the power being supplied 232 is the estimated power demand 136 or less at the time of a disaster (S202: NO), the process of S204 is executed.

When the power being supplied 232 is larger than the estimated power demand during a disaster (S202: YES), as S203, the earth leakage determination unit 204 may have an earth leakage or a ground fault in the consumer equipment 10. Is determined, and the position of the consumer equipment 10 is written in the leakage information 233. Then, the process of S204 is executed.

As S204, the power supply control unit 205 determines the power supply route based on the damage information 135 and the leakage information 233 in the area 6, and the power transmission network 4 and the power distribution network 5 so that the power flows through the determined power supply route. Control the circuit breaker.

As S205, the power supply control unit 205 determines the power supply to the area 6 based on the estimated power demand 136 at the time of the disaster in the area 6, and generates power so that the determined power supply is supplied to the area 6. It controls the location 2, the substation 3, the transmission network 4, and the distribution network 5.

As S206, the mobile power supply vehicle dispatching unit 206 identifies and identifies the consumer equipment 10 in which power is not supplied in the power supply path determined in S204 and the estimated disaster power demand 136 is greater than 0. The place where the electric power can be supplied to the customer equipment 10 is determined as the dispatch destination of the mobile power supply vehicle 7. Then, this process ends.

<Hardware configuration>
The components of the disaster analysis device 100, the power supply control device 200, and the display device 300 described above may be realized by a computer program. FIG. 8 is a block diagram showing a hardware configuration of a computer 1000 that realizes the components of the disaster analysis device 100, the power supply control device 200, and the display device 300 according to the present embodiment by a computer program. The computer 1000 may be read as an information processing device.

The computer 1000 includes a processor 1001, a memory 1002, a storage 1003, an input device 1004, an output device 1005, a communication device 1006, a GPU (Graphics Processing Unit) 1007, a reading device 1008, and a bus 1009.

Each of the devices 1001 to 1008 is connected to the bus 1009 and can transmit and receive data in both directions via the bus 1009.

The processor 1001 is a device that executes a computer program stored in the memory 1002 and realizes the above-described components. Examples of processor 1001 include CPU (Central Processing Unit), MPU (Micro Processing Unit), controller, LSI (large scale integration), ASIC (Application Specific Integrated Circuit), PLD (Programmable Logic Device), FPGA (Field-Programmable Gate). Array).

The memory 1002 is a device that stores computer programs and data handled by the computer 1000. The memory 1002 may include a ROM (Real-Only Memory) and a RAM (Random Access Memory). Examples of RAM include DRAM (Dynamic Random Access Memory), MRAM (Magnetoresistive Random Access Memory), and FeRAM (Ferroelectric Random Access Memory).

The storage 1003 is a device composed of a non-volatile storage medium and storing computer programs and data handled by the computer 1000. Examples of the storage 1003 include HDD (Hard Disk Drive) and SSD (Solid State Drive).

The input device 1004 is a device that receives data to be input to the processor 1001. Examples of the input device 1004 include a keyboard, a mouse, a touch pad, and a microphone.

The output device 1005 is a device that outputs the data generated by the processor 1001. Examples of the output device 1005 include a display and a speaker.

The communication device 1006 is a device that transmits / receives data to / from another device represented by a server or a terminal via communication networks 25 and 26. The communication device 1006 may include a transmitting unit for transmitting data and a receiving unit for receiving data. The communication device 1006 may support either wired communication or wireless communication. An example of wired communication is Ethernet®. Examples of wireless communication include IEEE802.11 (WiFi), Bluetooth, LTE (Long Term Evolution), 4G, and 5G.

The GPU 1007 is a device that processes image depiction at high speed. The GPU 1007 may be used for processing related to AI (Artificial Intelligence) (for example, deep learning).

The reading device 1008 is a device that reads data from an external recording medium such as a DVD-ROM (Digital Versatile Disk Read Only Memory) or a USB memory.

The components of the disaster analysis device 100, the power supply control device 200, and the display device 300 may be realized as an LSI which is an integrated circuit. These components may be individually integrated into one chip, or may be integrated into one chip so as to include a part or all of them. Although it is referred to as an LSI here, it may be referred to as an IC, a system LSI, a super LSI, or an ultra LSI depending on the degree of integration. Furthermore, if an integrated circuit technology that replaces an LSI appears due to advances in semiconductor technology or another technology derived from it, the components may be integrated using that technology.

(Summary of this disclosure)
The content of this disclosure can be expressed as follows.

<Expression 1>
The power supply control system 1 for controlling the power supply according to the present disclosure includes a disaster analysis device 100 and a power supply control device 200. The disaster analyzer 100 is in demand by comparing the consumer equipment model 133A, which models the normal state of the consumer equipment 10, with the consumer equipment model 133B, which models the state of the consumer equipment 10 at the time of a disaster. The damaged state of the house equipment 10 is analyzed, and based on the damaged state of the consumer equipment 10, the estimated disaster power demand 136, which is an estimated value of the demand power of the consumer equipment 10 at the time of a disaster, is calculated. The power supply control device 200 controls the power supply to the consumer equipment 10 at the time of a disaster based on the estimated power demand 136 at the time of the disaster of the consumer equipment 10.

Since the power demand of the consumer equipment 10 damaged by the disaster is different from the power demand of the consumer equipment 10 in normal times, the power supply-demand balance at the time of disaster is different from that in normal times. According to the above configuration, since the supply power is controlled based on the estimated power demand 136 of the consumer equipment 10 at the time of a disaster, the power can be stably supplied to the customer equipment 10 even at the time of a disaster.

<Expression 2>
In the power supply control system 1 described in Expression 1, the disaster analyzer 100 uses the estimated power demand during a disaster according to the normal power demand of the consumer equipment 10 and the damage ratio of the consumer equipment 10 during a disaster. 136 may be calculated.

In this way, by calculating the disaster estimated demand power 136 according to the damage rate of the consumer equipment 10, the estimation accuracy of the disaster estimated demand power 136 is improved.

<Expression 3>
In the power supply control system 1 described in Expression 2, the disaster analyzer 100 uses a learner that has learned the states of the consumer equipment models 133A and 133B in normal times and during a disaster, and uses the consumer equipment 10 at the time of a disaster. The rate of damage may be calculated.

In this way, by using the learner that has learned the states of the consumer equipment models 133A and 133B in normal times and in the event of a disaster, the estimation accuracy of the estimated demand power 136 in the event of a disaster is improved.

<Expression 4>
In the power supply control system 1 according to any one of the expressions 1 to 3, the disaster analyzer 100 may calculate the estimated power demand 136 at the time of disaster from the rate of damage to the consumer equipment.

As a result, the estimated power demand 136 at the time of a disaster can be easily calculated.

<Expression 5>
In the power supply control system 1 according to any one of the expressions 1 to 4, the disaster analyzer 100 determines that the power being supplied to the consumer equipment 10 at the time of a disaster is larger than the estimated power demand at the time of a disaster 136. It may be determined that there is a possibility of electric leakage or ground fault.

Thereby, the occurrence of a minute electric leakage or a ground fault can be detected.

<Expression 6>
In the power supply control system 1 according to the expression 5, the power supply control device 200 may cut off the power supply to the consumer equipment 10 determined to have a possibility of electric leakage or a ground fault.

By the blocking, the occurrence of fire or the like due to conductivity or ground fault can be prevented, so that safety in the event of a disaster is improved.

<Expression 7>
In the power supply control system 1 according to any one of the expressions 1 to 6, the disaster analyzer 100 has a disaster based on the total of the estimated power demand 136 at the time of the disaster of the plurality of consumer equipment 10 existing in the area 6. The estimated disaster power supply 136 of the area 6 at the time is calculated, and the power supply control device 200 controls the power supply to the area 6 at the time of the disaster based on the estimated disaster power supply 136 of the area 6. Good.

In this way, by controlling the power supply based on the estimated power demand 136 in the area 6 at the time of a disaster, it is possible to stably supply and supply the power to the area 6 even in the event of a disaster.

<Expression 8>
In the power supply control system 1 described in Expression 7, the disaster analyzer 100 includes a power distribution equipment model 134A that models the normal state of the power distribution equipment 20 existing in the area 6, and a power distribution equipment 20 at the time of a disaster. The damage state of the power distribution equipment 20 is analyzed in comparison with the power distribution equipment model 134B that models the state of the above, and the power supply control device 200 supplies power in the event of a disaster based on the damage state of the power distribution equipment 20. You may control the route.

The electric power distribution facility 20 damaged by the disaster cannot distribute electric power. According to the above configuration, since the power supply path is controlled in consideration of the damaged state of the power distribution facility 20, it is possible to supply power more safely and stably even in the event of a disaster.

<Expression 9>
In the power supply control system 1 described in Expression 8, the disaster analyzer 100 uses a learner that has learned the states of the power distribution equipment models 134A and 134B in normal times and during a disaster, and uses the power distribution equipment 20 at the time of a disaster. The rate of damage may be calculated.

In this way, by using the learner that has learned the states of the power distribution equipment models 134A and 134B in normal times and during a disaster, the calculation accuracy of the damage ratio of the power distribution equipment 20 during a disaster is improved.

<Expression 10>
In the power supply control system 1 according to the expression 8 or 9, the power supply control device 200 identifies the consumer equipment 10 in which power is not supplied in the power supply path and the estimated power demand during a disaster 136 is greater than 0. The mobile power supply vehicle 7 may be dispatched to a place where electric power can be supplied to the specified consumer equipment 10.

As a result, the mobile power supply vehicle 7 can supply electric power to the consumer equipment 10 that cannot supply electric power through the electric power supply path even though there is electric power demand.

<Expression 11>
The power supply control system 1 according to any one of the expressions 8 to 10 includes an image pickup device 31 that captures an area 6 from the sky and generates image data 131 in normal times and during a disaster, and a 3D scan of the area 6 from the sky. A laser scanner 32 that generates 3D point cloud data 132 may be further provided. The disaster analyzer 100 may generate the consumer equipment model 133 and the power distribution equipment model 134 existing in the area 6 by using the image data 131 and the 3D point cloud data 132.

As a result, the consumer equipment model 133 and the power distribution equipment model 134 existing in the area 6 can be generated in normal times and in the event of a disaster.

<Expression 12>
The power supply control system 1 according to any one of the expressions 7 to 11 includes a map 137 of the area 6, a customer equipment model 133B at the time of a disaster arranged on the map 137, and the customer equipment model 133B. A display device 300 for displaying the estimated power demand 136 at the time of a disaster may be further provided.

As a result, the user can visually recognize the estimated power demand 136 at the time of disaster of each consumer equipment 10 arranged on the map 137.

<Expression 13>
The disaster analyzer 100 for analyzing a disaster according to the present disclosure includes a consumer equipment model 133A that models the normal state of the consumer equipment 10 and a consumer that models the state of the consumer equipment 10 at the time of a disaster. Based on the damage analysis unit 104 that analyzes the damaged state of the consumer equipment 10 by comparing with the equipment model 133B and the damaged state of the consumer equipment 10, it is an estimated value of the power demand of the consumer equipment 10 at the time of a disaster. It is provided with a demand power estimation unit 105 for calculating a disaster estimated demand power 136.

Since the power demand of the consumer equipment 10 damaged by the disaster is different from the power demand of the consumer equipment 10 in normal times, the power supply-demand balance at the time of disaster is different from that in normal times. According to the above configuration, the estimated power demand 136 at the time of disaster of the consumer equipment 10 can be calculated. Therefore, by controlling the supplied power using the estimated power demand 136 at the time of a disaster, the power can be stably supplied to the consumer equipment 10 even at the time of a disaster.

<Expression 14>
In the power supply control method for controlling the power supply by the power supply control system 1 according to the present disclosure, the consumer equipment model 133A that models the normal state of the consumer equipment 10 and the consumer equipment 10 in the event of a disaster The damaged state of the consumer equipment 10 is analyzed in comparison with the consumer equipment model 133B that models the state of the above, and the power demand of the consumer equipment 10 at the time of a disaster is estimated based on the damaged state of the consumer equipment 10. The estimated disaster power demand 136 at the time of a disaster is calculated, and the power supply to the consumer equipment 10 at the time of a disaster is controlled based on the estimated power demand 136 at the time of the disaster of the consumer equipment 10.

Since the power demand of the consumer equipment 10 damaged by the disaster is different from the power demand of the consumer equipment 10 in normal times, the power supply-demand balance at the time of disaster is different from that in normal times. According to the above method, the estimated power demand 136 at the time of disaster of the consumer equipment 10 can be calculated. Therefore, by controlling the power supply using the estimated power demand 136 at the time of a disaster, the power can be stably supplied to the consumer equipment 10 even at the time of a disaster.

Although the embodiments have been described above with reference to the accompanying drawings, the present disclosure is not limited to such examples. It is clear that a person skilled in the art can come up with various modifications, modifications, substitutions, additions, deletions, and equality within the scope of the claims. It is understood that it belongs to the technical scope of the present disclosure. Further, each component in the above-described embodiment may be arbitrarily combined as long as the gist of the invention is not deviated.

The technique of the present disclosure is useful for power system control.

1 Power supply control system 2 Power plant 3 Substation 4 Transmission network 5 Distribution network 6 Area 7 Mobile power supply vehicle 10 Consumer equipment 20 Power distribution equipment 25, 26 Communication network 30 Unmanned aircraft 31 Imaging device 32 Laser scanner 100 Disaster analyzer 101 Information storage unit 102 Data reception unit 103 Model generation unit 104 Damage analysis unit 105 Power demand estimation unit 106 Information transmission / reception unit 131 Image data 132 3D point group data 133 Consumer equipment model 133A Normal customer equipment model 133B Demand during a disaster House equipment model 134 Power distribution equipment model 134A Normal power distribution equipment model 134B Disaster power distribution equipment model 135 Damage information 136 Disaster estimated demand power 137 Map data 200 Power supply control device 201 Information storage unit 202 Information transmission / reception unit 203 Power supply measurement unit 204 Leakage judgment unit 205 Power supply control unit 206 Mobile power supply vehicle dispatch unit 232 Power supply in power 233 Leakage information 300 Display device 301 Information storage unit 302 Information transmission / reception unit 303 Display processing unit 304 Operation processing unit 331 Digital twin model 1000 Computer 1001 Processor 1002 Memory 1003 Storage 1004 Input device 1005 Output device 1006 Communication device 1007 GPU
1008 reader 1009 bus

Claims (14)

It is a power supply control system that controls the power supply.
The damaged state of the consumer equipment is analyzed by comparing the consumer equipment model that models the normal state of the consumer equipment with the consumer equipment model that models the state of the consumer equipment at the time of a disaster. , A disaster analyzer that calculates the estimated power demand at the time of a disaster, which is an estimated value of the power demand of the customer equipment at the time of the disaster, based on the damaged state of the customer equipment.
A power supply control device for controlling the power supply to the consumer equipment at the time of the disaster based on the estimated power demand at the time of the disaster of the consumer equipment is provided.
Power supply control system. The disaster analyzer calculates the estimated power demand at the time of a disaster according to the normal power demand of the customer equipment and the rate of damage of the customer equipment at the time of the disaster.
The power supply control system according to claim 1. The disaster analyzer calculates the rate of damage to the consumer equipment during the disaster by using a learner that has learned the states of the consumer equipment model during the normal time and the disaster.
The power supply control system according to claim 2. The disaster analyzer calculates the estimated power demand at the time of a disaster from the rate of damage to the consumer equipment.
The power supply control system according to any one of claims 1 to 3. When the power supplied to the consumer equipment at the time of the disaster is larger than the estimated power demand at the time of the disaster, the disaster analyzer determines that an electric leakage or a ground fault may have occurred.
The power supply control system according to any one of claims 1 to 4. The power supply control device cuts off the power supply to the consumer equipment determined that the electric leakage or the ground fault may have occurred.
The power supply control system according to claim 5. The disaster analyzer calculates the estimated disaster power demand for the area at the time of the disaster based on the total of the estimated disaster power demand for the plurality of consumer equipment existing in the area.
The power supply control device controls the power supply to the area at the time of the disaster based on the estimated power demand at the time of the disaster in the area.
The power supply control system according to any one of claims 1 to 6. The disaster analyzer compares a power distribution equipment model that models the normal state of the power distribution equipment existing in the area with a power distribution equipment model that models the state of the power distribution equipment at the time of a disaster. Analyze the damaged state of the power distribution equipment
The power supply control device controls the power supply path at the time of the disaster based on the damaged state of the power distribution facility.
The power supply control system according to claim 7. The disaster analyzer calculates the rate of damage to the power distribution equipment during the disaster by using a learner that has learned the states of the power distribution equipment model during the normal time and the disaster.
The power supply control system according to claim 8. The power supply control device can identify the consumer equipment in which power is not supplied in the power supply path and the estimated power demand at the time of a disaster is larger than 0, and can supply power to the specified customer equipment 10. Dispatch a mobile power supply car to the place,
The power supply control system according to claim 8 or 9. An imaging device that captures the area from the sky and generates image data in normal times and during the disaster, and a laser scanner that scans the area in 3D from the sky and generates 3D point cloud data are further provided.
The disaster analyzer uses the image data and the 3D point cloud data to generate the consumer equipment model and the power distribution equipment model existing in the area.
The power supply control system according to any one of claims 8 to 10. A map of the area, the customer equipment model at the time of the disaster arranged on the map, and a display device for displaying the estimated power demand at the time of the disaster of the customer equipment model are further provided.
The power supply control system according to any one of claims 7 to 11. A disaster analyzer that analyzes disasters
The damaged state of the consumer equipment is analyzed by comparing the consumer equipment model that models the normal state of the consumer equipment with the consumer equipment model that models the state of the consumer equipment at the time of a disaster. Damage analysis department and
It is provided with a demand power estimation unit that calculates a disaster estimated demand power which is an estimated value of the demand power of the consumer equipment at the time of the disaster based on the damaged state of the consumer equipment.
Disaster analyzer. It is a power supply control method that controls the power supply by a power supply control system.
The damaged state of the consumer equipment is analyzed by comparing the consumer equipment model that models the normal state of the customer equipment with the consumer equipment model that models the state of the consumer equipment at the time of a disaster. ,
Based on the damaged state of the consumer equipment, the estimated disaster demand power, which is an estimated value of the demand power of the consumer equipment at the time of the disaster, is calculated.
Control the power supply to the consumer equipment at the time of the disaster based on the estimated power demand at the time of the disaster of the consumer equipment.
Power supply control method.

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