JP2022168958A - Blackout statistic basic data generating apparatus, and blackout statistic basic data generating program - Google Patents

Abstract

To provide a blackout statistic basic data generating apparatus, and a blackout statistic basic data generating program which can generate blackout statistic basic data including a large number of data items.SOLUTION: A blackout statistic basic data generating apparatus according to the present invention comprises: an information acquiring task 651 for acquiring contracted house number information 21, power demand estimation information 31, power distribution facility information 41 and power distribution map information 51 from a business management system 2, a planning server 3, a power distribution automation system 4, a power distribution map information 5 and so on of a power undertaker; and a blackout statistic basic data generating task 652 for generating a blackout statistics basic information based on the acquired information.SELECTED DRAWING: Figure 1

Description

TECHNICAL FIELD The present invention relates to a power outage statistics basic data generation device and a power outage statistics basic data generation program. The present invention relates to technology for generating statistical basic data.

In order to obtain annual power outage statistics for a given area, including the number of power outages and duration of power outages, power companies generate power outage statistics basic data, which is the basis of power outage statistics, for example, in the first month of the fiscal year. there is This power outage statistics basic data is generated, for example, for each office of an electric power company, and includes the number of contracted units for each district, the number of banks for the entire office, the number of contracted units for each feeder, the bank number for each feeder, the feeder It includes the length of high voltage line per feeder, the number of switches with remote control and operation function per feeder, the number of manual switches per feeder, and the maximum power per feeder.

Conventionally, each office of an electric power company generates power outage statistical basic data in response to a request to create power outage statistical basic data notified by a business headquarters. Each office collects data provided by the business headquarters and data managed by various systems, extracts the necessary values from this data, performs various calculations from the extracted data, and performs power outages. Generating basic statistical data. In addition, since some feeders have large capacity feeders in which one feeder has two lines, data is aggregated for each line. In addition, for feeders installed across multiple business establishments, work such as checking the materials, examining which business establishment they belonged to, and adjusting the number of feeders between business establishments was also carried out. Conventionally, the task of generating such power outage statistical basic data was performed manually, and thus there was the problem that it was always complicated and time-consuming.

By the way, Patent Literature 1 discloses a system for acquiring various data from a server and analyzing the data, that is, a technique for automatically acquiring various data and generating necessary data.

JP 2016-170778 A

However, the power outage statistical basic data includes a large number of data items, and each data item is data specific to an electric power company, so the technology described in Patent Document 1 is applied to generate the power outage statistical basic data. is not easy.

SUMMARY OF THE INVENTION Accordingly, an object of the present invention is to provide a power outage statistics basic data generation device and a power outage statistics basic data generation program capable of generating power outage statistics basic data including a large number of data items.

In order to solve the above problems, the invention of claim 1 provides a power failure statistics base for generating power failure statistics basic data that is the basis of the power failure statistics in order to obtain power failure statistics for a predetermined area including the number of power failures and the duration of power failures. A data generation device for obtaining information from an information management system of an electric power company, contracted household information indicating the number of contracted households to which power is supplied in a predetermined area, and distribution equipment information regarding the distribution equipment in the predetermined area. and a power outage statistics basic data generating means for generating the power outage statistics basic data based on the contracted house number information and the power distribution facility information.

The invention of claim 2 is the power outage statistical basic data generation device according to claim 1, wherein the power outage statistical basic data includes the number of contracted units for each district in the predetermined area and the number of banks in the entire predetermined area. , the number of contracted houses for each feeder, the bank number for each feeder, the length of high voltage line for each feeder, the number of switches with remote control and operation functions for each feeder, and the manual switch for each feeder and the maximum power for each feeder, and the power outage statistical basic data generating means extracts data related to the power outage statistical basic data from the contracted household information and the power distribution equipment information, and extracts the power outage statistical basic data is characterized by generating

The invention of claim 3 is the power outage statistics basic data generation device according to claim 1 or 2, wherein the power distribution facility information includes power distribution map information that displays a power distribution system on the map information, and the power outage The statistical basic data generating means is characterized in that, based on the power distribution map information, it is specified in which region the power distribution equipment arranged across different regions belongs to.

According to a fourth aspect of the present invention, there is provided a power outage statistical basic data generating apparatus according to any one of the first to third aspects, further comprising reporting means for reporting the generated power outage statistical basic data.

The invention of claim 5 is the power outage statistical basic data generation device according to any one of claims 1 to 4, wherein machine learning is performed based on performance data including the power outage statistical basic data generated in the past. It is characterized by comprising judgment means for judging the validity of the generated power outage statistical basic data using the model.

According to a sixth aspect of the present invention, in the power outage statistical basic data generating device according to the fifth aspect, when the determination unit determines that the generated power outage statistical basic data is not valid, warning means for issuing a warning characterized by comprising

The invention of claim 7 is a power outage statistics basic data generation program for generating power outage statistics basic data that is the basis of the power outage statistics in order to obtain power outage statistics for a predetermined area including the number of power outages and the duration of power outages, the program comprising: from the information management system of the electric power company, information acquisition means for acquiring contract number information indicating the contract number of power supply destinations in a predetermined area and distribution equipment information regarding the distribution equipment in the predetermined area; A power outage statistical basic data generating program characterized by functioning as power outage statistical basic data generating means for generating the power outage statistical basic data based on the number of households information and the power distribution equipment information.

According to the inventions of claims 1 and 7, the generation of power outage statistical basic data, which has conventionally been performed by complicated manual work, can be easily performed based on the information on the number of contracted units and the information on power distribution equipment acquired from the information management system. It is possible to generate As a result, power outage statistical basic data, which has been generated only once a year, can be generated at predetermined intervals shorter than one year or at arbitrary timing. Further, by generating power outage statistical basic data according to changes in power distribution facilities, it is possible to obtain highly accurate power outage statistical basic data suitable for the current power distribution system.

According to the second aspect of the invention, it is possible to generate power outage statistical basic data consisting of a large number of item data using the information on the number of contracted households and the information on power distribution facilities. Therefore, it is possible to simplify the manual generation of power outage statistics basic data while adjusting the consistency of a large number of item data.

According to the third aspect of the invention, it is possible to specify the area to which the distribution facilities located across different areas belong based on the distribution map information. It is possible to simplify the work of generating statistical basic data.

According to the fourth aspect of the invention, it is possible to automatically report the generated power outage statistical basic data, thereby simplifying the work of generating the power outage statistical basic data, which has conventionally been performed manually. is possible.

According to the invention of claim 5, the validity of the generated power outage statistical basic data is determined using a learned model that has been machine-learned based on the performance data including the power outage statistical basic data generated in the past. , it is possible to obtain highly accurate power outage statistical basic data.

According to the sixth aspect of the invention, since a warning is issued when the generated power outage statistical basic data is determined to be invalid, the power outage statistical basic data can be reviewed without being overlooked.

1 is a schematic configuration diagram of a power outage statistics basic data generation system to which a power outage statistics basic data generation device and a power outage statistics basic data generation program according to an embodiment of the present invention are applied; 2 is a diagram showing an example of a data layout of contract number information in the business management system shown in FIG. 1; FIG. 2 is a diagram showing an example of a data layout of power demand estimation information of the planning section server shown in FIG. 1; FIG. 2 is a diagram showing an example of a data layout of distribution equipment information of the distribution automation system shown in FIG. 1; FIG. 2 is a diagram showing an example of power distribution map information of the power distribution map information system shown in FIG. 1; FIG. It is a figure which shows an example of the power failure statistics basic data produced|generated by the power failure statistics basic data production|generation apparatus shown in FIG. 2 is a diagram showing an example of performance data in a teacher data DB shown in FIG. 1; FIG. It is a flowchart which shows the production|generation procedure of the power failure statistics basic data by a power failure statistics basic data production apparatus.

BEST MODE FOR CARRYING OUT THE INVENTION The present invention will be described below based on the illustrated embodiments.

FIG. 1 is a functional block diagram showing a schematic configuration of a power outage statistics basic data generation system 1 including a power outage statistics basic data generation device and a power outage statistics basic data generation program according to an embodiment of the present invention. The power outage statistics basic data generation system 1 of the present embodiment is a system for generating power outage statistics basic data that is the basis of power outage statistics in order to obtain power outage statistics for a predetermined area, including the number of power outages and duration of power outages.

The power outage statistics basic data generation system 1 is composed of a power supplier business management system 2, a planning section server 3, a power distribution automation system 4, a power distribution map information system 5, a power outage statistics basic data generation device 6, and the like. there is These business management system 2, planning section server 3, power distribution automation system 4, power distribution map information system 5, and power outage statistics basic data generation device 6 are installed, for example, in an electric power company.

Although not shown in detail, the business management system 2, the planning section server 3, the power distribution automation system 4, the power distribution map information system 5, and the power outage statistics basic data generation device 6 include a central processing unit such as a CPU (Central Processing Unit), a RAM The general-purpose computer includes a memory such as a random access memory, a storage unit such as a hard disk, an input unit such as a keyboard and a mouse, a display unit such as a display, and a communication unit. The business management system 2, the planning section server 3, the power distribution automation system 4, the power distribution map information system 5, and the power outage statistics basic data generation device 6 are connected to a LAN (Local Area) so that they can mutually transmit and receive signals and information. network) and WAN (Wide Area Network).

The business management system 2 is a system for storing and managing various types of information related to power transmission and distribution businesses by power companies. The business management system 2 manages, for example, information on the number of contracted households in which the contracted number of contracted households for receiving electricity supply from the electric power company is registered.

FIG. 2 shows an example of the data layout of the contracted unit number information 21 managed by the business management system 2. As shown in FIG. The number of contracted units information 21 includes the total number of customers (total number of contracted units) of each office established in each prefecture for each of the multiple prefectures under the jurisdiction of the electric power company, and the districts divided by each office. The number of customers (number of contracts) for each is registered. For example, the total number of customers at the Mt. O office in Mt. O prefecture is 467,599. , 161 units, and 98,824 units. Areas A, B, and C are classified according to population density such as, for example, metropolitan areas, urban areas, and rural areas. In addition, division of districts is not limited to division according to population density.

The planning section server 3 is a server that is used by a section called a planning section that makes various plans related to an electric power transmission and distribution business in an electric power company. The planning section server 3 stores and manages, for example, information related to the power demand forecast for the next year.

FIG. 3 shows an example of the data layout of the power demand forecast information 31 managed by the planning section server 3. As shown in FIG. In the power demand forecast information 31, the maximum power (MVA) of the power demand expected in the next fiscal year is registered for each distribution line (feeder) connected to the power station of each office of the electric power company. there is For example, the maximum electric power demanded for the I-mura distribution line of the O-moto power station of the O-yama office is 1700 MVA.

The power distribution automation system 4 is a system aimed at labor saving, efficiency improvement, and supply reliability improvement in distribution system operation work. The distribution automation system 4 remotely monitors and controls the sectioning switches of the distribution system, so that the distribution system can be switched systematically, and in the event of a sudden power failure such as a distribution line accident, power can be transmitted to a section other than the accident section. automatic switching of the distribution system, etc. The power distribution automation system 4 stores and manages, for example, information on power distribution facilities in areas under the jurisdiction of electric power companies.

FIG. 4 shows an example of the data layout of the distribution facility information 41 managed by the distribution automation system 4. As shown in FIG. The power distribution facility information 41 includes the district divisions (A district, B district, and C district) of each power station, the bank number, the number of customers, and the high voltage for each distribution line (feeder) connected to each power station. Line length, installed transformer capacity, number of switches with remote control and operation functions (hereinafter referred to as DM), and number of manual switches (hereinafter referred to as AS) are registered. It is For example, the district division of the O former power station is the A district. In addition, the bank number of the I village distribution line connected to the O source power station is "1", the number of customers is "1222", the length of the high voltage line is "3km", the capacity of the transformer is "25KVA", and the DM is "2", and the number of AS is "13".

In addition, in the distribution equipment information 41, various data are similarly registered for a large-capacity distribution line (large-capacity feeder) in which a plurality of circuits exist in one distribution line. For example, the Suda distribution line connected to the F-Matsu Electric Station is divided into upper and lower lines, and various data are registered.

The power distribution map information system 5 superimposes and displays information about the high-voltage power distribution system on the map image, thereby confirming the type, number, installation position, etc. of the power distribution equipment, and assisting in the design of the power distribution system. is. The power distribution map information system 5 stores map information on areas separated by electric power companies and information on power distribution facilities. etc. is displayed.

FIG. 5 shows an example of power distribution map information 51 displayed on the display unit by the power distribution map information system 5 . The power distribution map information 51 shows a map image 52 selected by the user's operation of the input unit. In the map image 52, symbols such as distribution lines 52a, utility poles 52b, and electric lights 52c, capacity 52d of installed pole transformers, distribution line names 52e, and the like are displayed on a map showing buildings, roads, and the like. are superimposed on each other. Note that the map image 52 shows a state in which a Y-slope distribution line is installed so as to straddle the boundary 52f between the O original office and the F Matsu office.

The business management system 2, the planning section server 3, the distribution automation system 4, and the distribution map information system 5 correspond to the information management system of the electric power company in the present invention. The power demand forecast information 31, the distribution facility information 41, and the distribution map information 51 correspond to part of the distribution facility information in the present invention. In addition, although each data is represented by a character string in FIGS. 2 to 5, there are cases in which an appropriate encoding process is actually applied so that it can be used in computer processing.

The power outage statistics basic data generation device 6 mainly includes an input unit 61, a display unit 62, a storage unit 63, a memory 64, a main task 65, a communication unit 66, and a central processing unit 67 that controls these. The power outage statistics basic data generation device 6 is installed, for example, in a personal computer or the like with a control program for the entire device and an application (power outage statistics basic data generation program 631) for performing various processes for generating power outage statistics basic data. configured.

The input unit 61 is an interface having a function of inputting information to the power outage statistics basic data generation device 6 in response to a user's command, and is configured by, for example, a keyboard and a mouse.

The display unit 62 has a function of displaying information input via the input unit 61, displaying power outage statistics basic data which is the processing result of the power outage statistics basic data generation device 6, and reporting to the person in charge. For example, it is configured by a liquid crystal display.

The storage unit 63 is a storage area/storage device having a function of storing various information, programs, data, and the like, and is configured by a hard disk, for example. The storage unit 63 stores a control program for the entire power failure statistics basic data generation device 6, a power failure statistics basic data generation program 631, and the like. The storage unit 63 also stores a learned model 632 machine-learned based on teacher data (actual data) 633 including previously generated power outage statistics basic data. The learned model 632 is used to determine the validity of the generated power outage statistics basic data.

The memory 64 has a function as a work area for temporarily storing information and data generated when the central processing unit 67 executes various processes for generating power outage statistical basic data. A storage device, which is configured by, for example, a RAM.

The main task 65 is a group of tasks for executing various processes for generating power outage statistical basic data, realized by executing the power outage statistical basic data generation program 631 stored in the storage unit 63 .

The communication unit 66 is a communication interface having a function of transmitting/receiving/inputting/outputting signals/information transmitted via the communication network NW.

The central processing unit 67 has a function of controlling and controlling each unit constituting the power outage statistical basic data generation device 6, for example, includes a central processing unit such as a CPU, and is stored in the storage unit 63. Each function is realized according to the control program and power failure statistics basic data generation program 631 .

The power outage statistics basic data generation device 6 generates power outage statistics periodically, for example, every month, according to an instruction by operating the input unit 61, or in response to a notification from another system such as the business management system 2. Executes various processes to generate basic data. This processing is performed by the main task 65 configured by executing the power outage statistics basic data generation program 631 stored in the storage unit 63 . The main task 65 includes an information acquisition task 651, a power failure statistics basic data generation task 652, a determination task 653, a report task 654, a warning task 655, a learning task 656, and the like.

The information acquisition task 651 is an information acquisition unit that acquires, from the information management system of an electric power company, contracted household information indicating the number of contracted households of power supply destinations in a predetermined area and distribution facility information related to distribution facilities in a predetermined area. Equivalent to. The power outage statistics basic data generation task 652 corresponds to power outage statistics basic data generation means for generating power outage statistics basic data based on the information on the number of contracted homes and the information on power distribution facilities. The judgment task 653 uses a machine-learned model that has been machine-learned based on performance data including power outage statistical basic data generated in the past to determine the validity of the generated power outage statistical basic data (contracted house number information and power distribution facility information (including consistency and relevance). The reporting task 654 corresponds to reporting means for reporting the generated power outage statistics basic data. The warning task 655 corresponds to warning means that issues a warning when it is determined that the generated power outage statistical basic data is not valid.

Also, the learning task 656 learns using the past performance data stored in the teacher data DB 633 so that when the power distribution equipment information and the map information are input, the utility poles to which the accident point detection device can be attached are output. This corresponds to means for machine learning the finished model 632 .

When the power outage statistics basic data generation program 631 is executed, the information acquisition task 651 acquires the contracted unit number information 21 from the business management system 2 via the communication network NW, and the estimated power demand information 31 from the planning section server 3. , the distribution facility information 41 is obtained from the distribution automation system 4 , and the distribution map information 51 is obtained from the distribution map information system 5 . The acquired contracted house number information 21 , power demand forecast information 31 , power distribution equipment information 41 , and power distribution map information 51 are temporarily stored in the memory 64 .

The power outage statistical basic data generation task 652 extracts data related to power outage statistical basic data from the contracted household information 21, the power demand forecast information 31, the power distribution facility information 41, and the power distribution map information 51, number of contracted units, number of banks for the entire office (number of pole transformers), number of units contracted for each feeder, bank number for each feeder, high-voltage line length for each feeder, and number of DMs for each feeder Then, outage statistical basic data including the number of ASs for each feeder and the maximum power for each feeder is generated. The generated power outage statistics basic data is temporarily stored in the memory 64 .

FIG. 6 shows the power outage statistics basic data 68 of the Oyama office generated by the power outage statistics basic data generation task 652 . The number of contracted units for each of districts A, B, and C is a value extracted from the number of contracted units information 21 . The number of banks is a value obtained by totaling the number of transformers in the distribution equipment information 41 . The number of contracted units for each feeder, the bank number for each feeder, the length of the high voltage line for each feeder, the number of DMs for each feeder, and the number of ASs for each feeder are values extracted from the distribution equipment information 41 . In addition, as shown in FIG. 5, the Y slope distribution line installed between the utility pole 52g and the utility pole 52h is installed so as to straddle the boundary 52f between the O original office and the F Matsu office. . In such a case, the power outage statistics basic data generation task 652 determines that the line belongs to the office with the longer wiring length with respect to the boundary 52f. In the example shown in FIG. 5, the Y-slope distribution line is processed as the distribution line of the O source office because the length of the wiring existing at the O source office is longer.

A determination task 653 uses the learned model 632 to determine the validity of the generated blackout statistics basic data (including consistency and relevance with information on the number of contracted homes and information on power distribution facilities). As a result of determining the validity of the power outage statistical basic data, the value of the generated power outage statistical basic data is based on the contract number information 21, the power demand forecast information 31, the power distribution equipment information 41, and the power distribution It outputs the result of determination as to whether the map information 51 is not valid, more specifically, which item data is not valid and how (for example, the value is larger or smaller than the value considered to be valid). .

Trained model 632 is created by learning task 656 . The learning task 656 creates a trained model 632 using a known machine learning algorithm such as a neural network, using past performance data recorded and accumulated in the teacher data DB 633 stored in the storage unit 63 . In the teacher data DB 633, contracted house number information 21, power demand forecast information 31, power distribution equipment information 41, and power distribution map information 51, blackout statistical basic data generated from these information, contracted house number information 21, and power demand forecast It is a database that records and accumulates performance data (see FIG. 7) in which information 31, distribution equipment information 41, and determination results of validity of power outage statistical basic data for distribution map information 51 are associated with each other.

The learning task 656 uses machine learning and deep learning using a neural network, and based on the performance data recorded in the teacher data DB 633, for example, the contract number information 21, the power demand forecast information 31, the power distribution facility information 41, and power distribution map information 51, and power outage statistical basic data 68 generated from these information as an input layer, and a neural network including an intermediate layer in which the determination result regarding the validity of the power outage statistical basic data 68 is used as an output layer. to create Then, the learning task 656 uses the performance data of the teacher data DB 633 as learning data to learn various parameters in the intermediate layer. The learning task 656 quickly and accurately acquires power outage statistics basic data 68 generated from the information 21 on contract, estimated power demand information 31, power distribution facility information 41, power distribution map information 51, and power outage statistics basic data 68 generated from these information. Various parameters are learned in the intermediate layer so that the validity of the data 68 can be determined.

The reporting task 654 displays the generated power outage statistical basic data on the display unit 62 or the like when the generated power outage statistical basic data is determined to be appropriate by the determination task 653, and reports to the person in charge. conduct. In addition, the reporting task 654 transmits and reports the power outage statistics basic data to the business management system 2, the planning section server 3, the power distribution automation system 4, the power distribution map information system 5, etc. via the communication line network NW. may

When the determination task 653 determines that the generated power outage statistical basic data is not valid, the warning task 655 displays a warning to the effect that the generated power outage statistical basic data is not valid on the display unit 62 or the like. The person in charge can confirm this warning display and review the power outage statistics basic data.

Next, based on the flowchart shown in FIG. 8, the operation of the above embodiment will be described. The power outage statistics basic data generation device 6 executes the power outage statistics basic data generation program 631 periodically, according to an instruction by operating the input unit 61, or in response to a notification from another system such as the business management system 2. . The main task 65 configured by executing the power outage statistics basic data generation program 631 acquires the contracted unit number information 21 from the business management system 2 via the communication line network NW by the information acquisition task 651, Estimated power demand information 31 is acquired, power distribution facility information 41 is acquired from the power distribution automation system 4, and power distribution map information 51 is acquired from the power distribution map information system 5 (step S1). The acquired contracted house number information 21 , power demand forecast information 31 , power distribution equipment information 41 , and power distribution map information 51 are temporarily stored in the memory 64 .

The power outage statistical basic data generation task 652 extracts data related to power outage statistical basic data from the contracted household information 21, the power demand forecast information 31, the power distribution facility information 41, and the power distribution map information 51, number of contracted units, number of banks for the entire office (number of pole transformers), number of units contracted for each feeder, bank number for each feeder, high-voltage line length for each feeder, and number of DMs for each feeder Then, power failure statistics basic data including the number of ASs for each feeder and the maximum power for each feeder is generated (step S2). The generated power outage statistics basic data is temporarily stored in the memory 64 .

The judgment task 653 judges the validity of the generated blackout statistics basic data using the learned model 632 (step S3). If the generated outage statistics basic data is determined to be valid by decision task 653 (YES in step S4), reporting task 654 reports that the generated outage statistics basic data is valid as determined by decision task 653. If so, the generated power outage statistical basic data is displayed on the display unit 62 or the like, and a report is made to the person in charge (step S5). Further, when the generated power outage statistical basic data is determined to be invalid by the determination task 653 (NO in step S4), the warning task 655 displays the generated power outage statistical basic data on the display unit 62 or the like. A warning is displayed to the effect that there is none (step S6).

As described above, according to the power outage statistics basic data generation device 6 and the power outage statistics basic data generation program 631, generation of power outage statistics basic data, which was conventionally performed by complicated manual work, can be performed by the business management system 2, planning It can be easily generated based on contracted house number information 21, power demand forecast information 31, power distribution facility information 41, and power distribution map information 51 acquired from division server 3, power distribution automation system 4, power distribution map information system 5, etc. is. As a result, power outage statistical basic data, which has been generated only once a year, can be generated at predetermined intervals shorter than one year or at arbitrary timing. Further, by generating power outage statistical basic data according to changes in power distribution facilities, it is possible to obtain highly accurate power outage statistical basic data suitable for the current power distribution system.

In addition, according to the power outage statistics basic data generation device 6 and the power outage statistics basic data generation program 631, a large number of items are Power outage statistics basic data consisting of data can be generated. Therefore, it is possible to simplify the manual generation of power outage statistics basic data while adjusting the consistency of a large number of item data.

Furthermore, according to the power outage statistics basic data generation device 6 and the power outage statistics basic data generation program 631, based on the power distribution map information 51, it is possible to identify the region to which the power distribution equipment located across different regions belongs. Therefore, it is possible to simplify the work of generating power outage statistical basic data, which has conventionally been done manually.

In addition, according to the power outage statistics basic data generation device 6 and the power outage statistics basic data generation program 631, it is possible to automatically report the generated power outage statistics basic data, which has conventionally been done manually. It is possible to simplify the work of generating power outage statistics basic data.

Furthermore, according to the power outage statistics basic data generation device 6 and the power outage statistics basic data generation program 631, using a learned model 632 that has been machine-learned based on performance data including power outage statistics basic data generated in the past, Since the validity of the generated power outage statistics basic data is determined, it is possible to obtain highly accurate power outage statistics basic data.

Further, according to the power outage statistics basic data generation device 6 and the power outage statistics basic data generation program 631, a warning is issued when the generated power outage statistics basic data is determined to be invalid. Review can be done without overlooking.

In the above-described embodiment, a learned model generated by machine learning is used to determine the validity of the power outage statistical basic data. However, in the process of extracting and calculating data related to power outage statistical basic data from the contracted household information 21, the power demand forecast information 31, the power distribution facility information 41, and the power distribution map information 51, learned data generated by machine learning A model may be used. In addition, we explained an example of judging the validity of power outage statistical basic data using a trained model. You may make it output a result.

1 Power Outage Statistical Basic Data Generation System 2 Business Management System 21 Contract Household Information 3 Planning Section Server 31 Power Demand Estimation Information 4 Power Distribution Automation System 41 Power Distribution Facility Information 5 Power Distribution Map Information System 51 Power Distribution Map Information 6 Power Outage Statistical Basic Data Generating Device 63 Storage Part 631 Power outage statistics basic data generation program 632 Learned model 633 Teacher data database 65 Main task 651 Information acquisition task 652 Power outage statistics basic data generation task 653 Judgment task 654 Reporting task 655 Warning task 656 Learning task 68 Power outage statistics basic data

Claims (7)

A power outage statistics basic data generation device for generating power outage statistics basic data that is the basis of the power outage statistics in order to obtain power outage statistics for a predetermined area including the number of power outages and the duration of power outages,
Information acquisition means for acquiring, from an information management system of an electric power company, contracted household information indicating the number of contracted households to which power is supplied in a predetermined area and distribution facility information related to distribution facilities in the predetermined area;
A power outage statistics basic data generation device, comprising power outage statistics basic data generation means for generating the power outage statistics basic data based on the contracted house number information and the power distribution equipment information. The power outage statistical basic data includes the number of contracted units for each district in the predetermined area, the number of banks in the entire predetermined area, the number of units contracted for each feeder, the bank number for each feeder, and the high voltage for each feeder. including line length, number of switches with remote control and operation functions per feeder, number of manual switches per feeder, and maximum power per feeder,
2. The power outage statistical basic data generating means extracts data related to the power outage statistical basic data from the contracted number of homes information and the power distribution facility information to generate the power outage statistical basic data. Power outage statistics basic data generator. The power distribution facility information includes power distribution map information that displays the power distribution system on the map information, and the power outage statistical basic data generating means is arranged across different regions based on the power distribution map information. 3. The power outage statistics basic data generation device according to claim 1, wherein the power distribution facility in which the distribution facility is located is specified. 4. The power outage statistical basic data generating apparatus according to claim 1, further comprising reporting means for reporting the generated power outage statistical basic data. A determination means for determining the validity of the generated power outage statistical basic data using a learned model that has been machine-learned based on actual data including the power outage statistical basic data generated in the past. The power outage statistics basic data generation device according to any one of claims 1 to 4. 6. The power outage statistical basic data generating apparatus according to claim 5, further comprising warning means for issuing a warning when the generated power outage statistical basic data is determined to be invalid by the determination unit. A power outage statistics basic data generation program for generating power outage statistics basic data that is the basis of the power outage statistics in order to obtain power outage statistics for a predetermined area including the number of power outages and duration of power outages,
the computer,
Information acquisition means for acquiring, from an information management system of an electric power company, contracted household information indicating the number of contracted households to which power is supplied in a predetermined area and distribution facility information related to distribution facilities in the predetermined area;
A power outage statistical basic data generation program characterized by functioning as power outage statistical basic data generation means for generating the power outage statistical basic data based on the contracted house number information and the power distribution facility information.

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