JP2020144745A - System simulator and simulation method - Google Patents

Abstract

To provide a system simulator capable of simulating operation of a smart meter for each meter.SOLUTION: A simulated smart meter 1-1 of a system simulator 101 includes: a time control processing unit 119; a routine meter reading processing unit 120; a response control processing unit 121; and a disturbance processing unit 122. The time control processing unit controls a reading timing of the simulated smart meter based on a time lag with positive time (system time of the system simulator) of each smart meter. The routine meter reading processing unit executes processing related to metering of a reading value at a timing of a routine reading time (XX:30 or XX:00) based on control results of the reading timing of the simulated smart meter. The response control processing unit detects reception of a control request from a meter data management system or center facilities that is performed as occasion demands, and creates an interface of a response corresponding to the control request to return a response. The disturbance processing unit detects disturbance and simulates operation of the smart meter according to the disturbance.SELECTED DRAWING: Figure 1

Description

The present invention relates to a system simulator and a simulation method capable of simulating the operation of a smart meter (hereinafter referred to as SM).

The electric power business consists of three fields: electric power production (power generation), transportation (electric power distribution and distribution), and sales to consumers (retail). Since electric power is consumed, it is necessary to adjust power generation and distribution according to the usage situation of consumers (system operation).

In recent years, SM, which is a watt-hour meter having a two-way communication function, is being deployed to consumers. With SM, it is possible to grasp detailed data such as power consumption in 30-minute units and reverse power flow from private power generation, which cannot be understood by conventional weighing systems.

Various functions and techniques have been devised for SM. Regarding the technology related to the periodic collection of meter reading values, which is a basic function of SM, various technologies such as Patent Document 1 and other communication methods have been published.

Nowadays, with the spread of SM, automatic meter reading is performed in which a headend system (hereinafter referred to as HES) collects meter data information such as 30-minute values and a meter data management system (hereinafter referred to as MDMS) manages it. It has been. In addition, by sending and receiving control telegrams from the MDMS and center equipment side to the SM deployed in the power pipe, it is possible to realize the sophistication of business such as turning on / off electricity and setting according to the contract remotely. There is.

As a method for transmitting a control telegram, the technique disclosed in Patent Document 2 can be mentioned. In Patent Document 2, in the center equipment installed on the business side, the terminal devices installed in the field are classified by the communication method, the installation area, etc., and the terminal from the center equipment is classified for each classified terminal device. A technique is disclosed in which the transmission time of a control message can be accurately adjusted by periodically calculating and holding a time zone during which a control message cannot be transmitted to an apparatus.

Further, as for the telegram simulation system, the technology disclosed in Patent Document 3 can be mentioned. Patent Document 3 discloses a system that simulates the sending and receiving of telegrams between information processing devices and can streamline the creation of response telegrams for input telegrams.

Japanese Unexamined Patent Publication No. 2005-352532 Japanese Unexamined Patent Publication No. 2011-004349 Japanese Unexamined Patent Publication No. 2013-122722

In the development and testing of a system that has a telegram transmission / reception destination (connection destination) system, the connection destination system itself may be under development or its use in development and testing may be restricted. A simulator that simulates the operation of the system may be used.

In the field of electric power business, there are simulators that generate fixed responses to data transmission / reception and requests. On the other hand, when providing 30-minute value data, the SM has a data retention method capable of acquiring data in response to a request for an acquisition period (start / end) and data in response to a request for a record number indicating a data storage area. There are two types of data retention methods that can be acquired.

However, there has been no simulator that simulates these two types of data retention methods, generates different data for each SM, and dynamically responds to a request using the current value of SM. As a result, the cost of manually creating a telegram to be input during system development and testing has increased, and human error has occurred.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a system simulator and a simulation method capable of simulating the operation of SM for each SM.

In order to achieve the above object, the system simulator according to the first aspect simulates the operation of the smart meter for each smart meter based on the data holding format of the smart meter.

According to the present invention, it is possible to realize a system simulator capable of simulating the operation of SM for each SM.

FIG. 1 is a block diagram showing a configuration of a system simulator according to an embodiment. FIG. 2 is a diagram showing a configuration example of the static information table of FIG. 3A and 3B are diagrams showing an example of a load pattern registered in the static information table of FIG. FIG. 4 is a diagram showing an example of updating the dynamic information table based on the data holding method P1. FIG. 5 is a diagram showing an example of updating the dynamic information table based on the data holding method P2. FIG. 6 is a diagram showing an example of updating the dynamic information table at the time of disturbance processing based on the data holding method P2. FIG. 7A is a diagram showing a regular notification type telegram transmission sequence, and FIG. 7B is a diagram showing a remote control type telegram transmission sequence. FIG. 8 is a flowchart showing the operation of the system simulator of FIG. FIG. 9 is a block diagram showing a hardware configuration example of the system simulator of FIG.

The embodiment will be described with reference to the drawings. It should be noted that the embodiments described below do not limit the invention according to the claims, and all of the elements and combinations thereof described in the embodiments are essential for the means for solving the invention. Not necessarily.

FIG. 1 is a block diagram showing a configuration of a system simulator according to an embodiment. In the following embodiment, a simulator simulating a smart meter communication system including SM and HES will be described as an example.

In FIG. 1, the system simulator 101 is connected to the test target system 102 via the network 103. The test target system 102 may be an MDMS or a center facility installed on the operator side. The center equipment communicates directly with the SM and collects data. The center equipment is, for example, a server.

The system simulator 101 simulates the operation of the SM for each SM based on the data holding format of the SM, and transmits the simulation result of the operation of the SM to the test target system 102. At this time, the system simulator 101 can simulate each or both of the two types of data holding methods of SM for each SM. Further, the system simulator 101 can hold a history of 30-minute values for a plurality of days updated based on the data holding format for each SM.

The system simulator 101 can change the linked telegram format generated by the system simulator 101 depending on the system configuration of the test target system 102. This linked telegram format is, for example, a CIM (Common Information Model) format or an instrument telegram format.

Further, the system simulator 101 can hold a history of 30-minute values for a plurality of days updated based on the data holding format for each SM. At this time, the system simulator 101 can transmit the past history of the simulation result of the SM operation to the test target system 102.

The system simulator 101 includes N (N is a positive integer) simulated smart meters 1-1 to 1-N, an input unit 112, an output unit 113, and a transmission / reception unit 114. The simulated smart meters 1-1 to 1-N can be provided for each actual SM.

Each simulated smart meter 1-1 to 1-N individually simulates the operation of the smart meter. The input unit 112 inputs the simulation data at the time of the previous end when the system simulator 101 is started. At the end of the system simulator 101, the output unit 113 outputs the simulation data at the end of this time. The transmission / reception unit 114 transmits the simulation results for each SM simulated by each simulated smart meter 1-1 to 1-N to the test target system 102 periodically or in response to an acquisition request.

The simulated smart meter 1-1 includes a storage unit 115 and an arithmetic processing unit 116. The storage unit 115 stores the static information table 117 and the dynamic information table 118. The static information table 117 stores static information in SM units. The static information includes instrument specification information such as the instrument ID of each SM, the instrument type, the load pattern, and the 30-minute value holding method. The dynamic information table 118 holds dynamic information in SM units. The dynamic information includes a 30-minute value generated by simulating the operation of SM. The dynamic information is generated based on the 30-minute value holding method defined by the static information.

The arithmetic processing unit 116 performs arithmetic processing related to static information and dynamic information. The arithmetic processing unit 116 includes a time control processing unit 119, a regular meter reading processing unit 120, a response control processing unit 121, and a disturbance processing unit 122.

The time control processing unit 119 controls the meter reading timing of the simulated smart meter 1-1 based on the time difference from the normal time of each SM (system time of the system simulator 101). The regular meter reading processing unit 120 executes processing related to metering of the meter reading value at the timing of the regular meter reading time (XX: 30 or XX: 00) based on the control result of the meter reading timing of the simulated smart meter 1-1. .. The response control processing unit 121 detects the reception of the control request from the MDMS or the center equipment that is performed at any time, creates an interface for the response in response to the control request, and returns the response. The disturbance processing unit 122 detects the disturbance and simulates the operation of the SM accompanying the disturbance. The simulated smart meter 1-2 to 1-N can be configured in the same manner as the simulated smart meter 1-1.

FIG. 2 is a diagram showing a configuration example of the static information table of FIG.
In FIG. 2, the static information table 117 shows the instrument ID 201, the communication ID 202, the instrument type 203, the contract type 204, and the electricity usage charge of the meter reading value used when calculating the electricity charge that is carried out once a month. Weighing confirmation date 205 to set the confirmation timing, load pattern 206 showing the electricity usage pattern according to the contractor's life pattern, 30-minute value holding method 207 showing definition information such as SM retention days and record number, regular time and Information such as the time shift information 208 indicating the time difference of the above and the linked message format 209 that defines the message format generated by the system simulator 101 is held. As the load pattern 206, a load curve relating to fluctuations in power consumption can be used. The load pattern 206 may be different for each SM.

In FIG. 2, the instrument ID 201 is “instrument 01”, the communication ID 202 is “communication 01”, the instrument type 203 is “type 01”, the contract type 204 is “normal contract”, the measurement confirmation date 205 is “18 days”, and the load pattern. An example is shown in which 206 is set as “PA”, the 30-minute value holding method 207 is set as “P1”, the time shift information 208 is set as “−00: 01:00”, and the linked telegram format 209 is set as “CIM format”.

3A and 3B are diagrams showing an example of a load pattern registered in the static information table of FIG.
In FIG. 3A, for example, for the contractor A, the load pattern PA of FIG. 3A is set in the static information table 117 of FIG. Further, as shown in FIG. 3B, the load pattern PB of FIG. 3B is set in the static information table for the contractor B.

Here, it is assumed that the simulated smart meter 1-1 simulates the operation of the SM of the contractor A, and the simulated smart meter 1-2 simulates the operation of the SM of the contractor B. At this time, the simulated smart meter 1-1 simulates a 30-minute value for a plurality of days based on the load pattern PA of FIG. 3 (a), and the simulated smart meter 1-2 of FIG. 3 (b). Based on the load pattern PB, 30-minute values for a plurality of days can be simulated, and the operation of SM can be simulated according to the power consumption of each contractor A and B.

The 30-minute value holding method 207 of the static information table 117 of FIG. 2 can be defined by selecting and defining two data holding methods P1 and P2 similar to those of the actual machine SM.

FIG. 4 is a diagram showing an example of updating the dynamic information table based on the data holding method P1.
In FIG. 4, when the data holding method P1 is set as the 30-minute value holding method 207 of the static information table 117 of FIG. 2, the dynamic information table 118A is held as the dynamic information table 118. The dynamic information table 118A holds the record number 301, the time limit value 302, and the 30-minute value 303 for a plurality of days.

Then, the regular meter reading processing unit 120 updates the 30-minute value 303 of the dynamic information table 118A at the meter reading timing in SM units. At this time, the regular meter reading processing unit 120 stores a single time period of the 30-minute value 303 in one record, increments the record number 301 each time the 30-minute value 303 is generated, and creates a new record in the dynamic information table 118A. Add to.

FIG. 4 shows an example in which the number of 30-minute value retention days is set to "45 days", the time limit per record is set to "1", the latest record number is set to "variable", and the oldest record number is set to "variable". That is, the record number is added for each period, and the latest record number and the oldest record number are updated each time.

For example, assume that the latest record number is 02160 and the oldest record number is 000001 at 00:29 on October 10, 2018, immediately before meter reading. Then, the regular meter reading processing unit 120 adds a new record to the dynamic information table 118A at 00:30 on October 10, 2018 immediately after the meter reading, updates the latest record number to 02161 and the oldest record number to 00002. At the same time, the time limit value 302 and the 30-minute value 303 are recorded in the record having the latest record number 02161.

FIG. 5 is a diagram showing an example of updating the dynamic information table based on the data holding method P2.

In FIG. 5, when the data holding method P2 is set as the 30-minute value holding method 207 of the static information table 117 of FIG. 2, the dynamic information table 118B is held as the dynamic information table 118. The dynamic information table 118B holds a record number 401 for a plurality of days, a time limit value 402, a 30-minute value area 1E403, a 30-minute value area 2E404, a 30-minute value area 3E405, and a 30-minute value area 4E406.

Then, the regular meter reading processing unit 120 sequentially updates the 30-minute value area 1E403, the 30-minute value area 2E404, the 30-minute value area 3E405, and the 30-minute value area 4E406 of the dynamic information table 118B at the time of meter reading timing in SM units. Here, the regular meter reading processing unit 120 stores a plurality of time periods of the 30-minute value in one record, and holds the plurality of records in a ring shape with the 30-minute value of the plurality of time periods as a unit. At this time, the regular meter reading processing unit 120 always fixes the oldest record number and the latest record, generates the latest record when all the 30-minute values for a plurality of records are filled, and erases the oldest record.

In FIG. 5, the number of 30-minute value retention days is set to "45 days", the time limit per record is set to "4", the latest record number is set to "fixed (540)", and the oldest record number is set to "fixed (001)". An example was shown. That is, the record number is converted every four time periods stored in all four areas of one record, and the latest record number and the oldest record number are fixed and held each time.

For example, in the record whose latest record number is 540 at 00:29 on October 10, 2018 immediately before meter reading, the 30-minute value area 1E403 is 2257, the 30-minute value area 2E404 is 2258, and the 30-minute value area 3E405 is 2259, 30 minutes. It is assumed that the value area 4E406 is 2260. Then, the regular meter reading processing unit 120 erases the 30-minute value of the record number immediately before the meter reading of 001 at 00:30 on October 10, 2018 immediately after the meter reading, and the record number immediately before the meter reading is 540 to 002 for 30 minutes. The value is shifted to the record whose record number is 539 to 001, and the 30-minute value area 1E403 of the record whose record number is 540 is set to 2261. At this time, the 30-minute value area 2E404, the 30-minute value area 3E405, and the 30-minute value area 4E406 of the record whose record number is 540 are set to be empty.

A plurality of items are stored in the 30-minute values of FIGS. 4 and 5. As an example of the item of the 30-minute value, it is the electric energy of the forward power flow which is the electric power used by each consumer and the electric energy of the reverse power flow which is the electric power generated by the distributed power source.

Further, in the actual SM, there is a phenomenon that the time deviates from the test target system 102. Therefore, the 30-minute value is maintained while controlling the time deviation by performing time correction control from MDMS or center equipment. The static information table 117 of FIG. 2 holds the time deviation information 208 from the normal time in SM units, and the system simulator 101 of FIG. 1 obtains a 30-minute value in which the time deviation is controlled based on the time deviation information 208. Can be simulated.

Further, in the actual machine SM, the data storage content in the 30-minute data retention format changes due to demand return or time correction by on-site work. In order to be able to simulate such fluctuations in the data storage contents, the disturbance processing unit 122 of FIG. 1 can detect and simulate such disturbances.

FIG. 6 is a diagram showing an example of updating the dynamic information table at the time of disturbance processing based on the data holding method P2.
In FIG. 6, it is assumed that the 30-minute value area 1E403 is 2257, the 30-minute value area 2E404 is 2258, the 30-minute value area 3E405 and the 30-minute value area 4E406 are empty before the occurrence of the disturbance. To do.

Then, when the disturbance processing unit 122 of FIG. 1 detects 2258.5 as the meter reading value at (23:20) by the field work, the 30-minute value of the record number of 540 immediately before the detection is shifted to the record of the record number of 539. Then, the 30-minute value area 3E405 of the record whose record number is 539 is set to 2258.5. Further, the disturbance processing unit 122 marks the occurrence of a disturbance in the 30-minute value area 4E406 of the record having the record number 539, the 30-minute value area 1E403 of the record having the record number 540, and the 30-minute value area 2E404 of the record having the record number 540. Fill in D.

Then, the regular meter reading processing unit 120 sets the 30-minute value area 3E405 of the record whose record number is 540 to 2259 as the meter reading value at (23:30) at the time of meter reading timing.

FIG. 7A is a diagram showing a regular notification type telegram transmission sequence, and FIG. 7B is a diagram showing a remote control type telegram transmission sequence.
In FIG. 7A, when the regular meter reading processing unit 120 of FIG. 1 executes a process related to the measurement of the meter reading value at the timing of the regular meter reading time, the transmission / reception unit 114 sends a regular notification telegram to the test target system 102. Send (601). The regular notification message can include, for example, 30-minute value information and regular fixed value information. The regular fixed value information is 30-minute value information at 0 o'clock on the measurement fixed date.

In FIG. 7B, when the response control processing unit 121 of FIG. 1 receives the control request message transmitted from the test target system 102 (602), the request content of the control request message is discriminated and interpreted for each interface. Above, create a control response message. The control request message can include, for example, the latest 30-minute value acquisition request, the fixed value acquisition request, the fixed date change request, and the like.

Then, the response control processing unit 121 transmits the control response telegram to the test target system 102 via the transmission / reception unit 114 (603). The control response message can include, for example, the latest 30-minute value acquisition response, the confirmed value acquisition response, the confirmed date change response, and the like. In the simulation method of the system simulator 101, when the ID used for associating the control request message and the control response message is included, the ID of the control request message is transferred to the control response message.

FIG. 8 is a flowchart showing the operation of the system simulator of FIG.
In FIG. 8, various operations corresponding to the simulation method of the system simulator 101 are realized by a simulation program executed by the processor. This simulation program can be composed of code for performing the following various operations.

After starting the system simulator 101, the system simulator 101 acquires the data at the time of the previous end of the system simulator 101 from the input unit 112 and expands the data into the static information table 117 and the dynamic information table 118 (S1).

Next, the time control process 119 determines whether or not it is the regular meter reading time timing for each SM while considering the time deviation from the normal time (S2). When the regular meter reading timing (XX: 30 or XX: 00) is reached, the regular meter reading processing unit 120 executes the regular meter reading process (S3), updates the dynamic information table 118, creates a regular notification telegram, and tests. It is transmitted to the target system 102. On the other hand, if it is not the regular meter reading timing, the process proceeds to S4.

Next, the response control processing unit 121 determines whether or not the control request message from the test target system 102 has been received (S4). If the control request message is not received, the process returns to S2. On the other hand, when the reception of the control request message is detected, the response control processing unit 121 determines whether the request is a simulator end control request (S5). If it is not a simulator end control request message, the interface of the control request message is determined (S6), control response processing is executed according to the interface of each control request message (S7), a control response message is created, and the system to be tested. It is transmitted to 102 and returns to the processing of S2.

On the other hand, in the case of the simulator end control request message, the data expanded in the static information table 117 and the dynamic information table 118 at the present time is output from the output unit 113 (S8), and the simulation process is terminated.

The series of processes from S2 to S7 is periodically executed by the scheduler unless the process of S8 is executed.

When the system simulator 101 of FIG. 1 is restarted, the retained data of the static information table 117 and the dynamic information table 118 output by the system simulator 101 at the time of the previous termination are acquired and expanded to the system simulator 101. At this time, if there is a time difference that straddles the regular time timing (XX: 30 or XX: 00) from the previous end time of the system simulator 101 to the current start time, the system simulator 101 is about the non-operating time zone. Complements dynamic information including 30-minute value data. As a result, the update state of the data when the system simulator 101 is stopped can be concealed, the consistency of the data can always be maintained, and the influence on the test environment can be eliminated.

As described above, according to the above-described embodiment, it is possible to simulate the 30-minute data retention method of the actual SM for each actual SM and realize the transmission / reception of telegrams with the linked HES-MDMS or center equipment. Become. Therefore, it is possible to reduce costs during development or testing of the system to be tested 102 and prevent human error. Further, since the operation of the test target system 102 can be confirmed with respect to the behavior of the SM in which the disturbance has occurred, it is possible to realize the sophistication of the test of the test target system 102.

In addition, the system simulator 101 can generate and retain consistent data about the operation of the SM. Therefore, in the test of the test target system 102, it is possible to use simulation data having the same consistency as the actual data when the actual machine SM is used, and it is possible to prevent the tester from recognizing an error in the specifications of the test target system 102. However, the quality of the test target system 102 can be improved.

Further, the system simulator 101 can simulate consistent data about the operation of SM for each simulated smart meter 1-1 to 1-N. Therefore, in the performance test of the system 102 to be tested, the system simulator 101 can substitute a large number of actual SMs, and can reduce the environmental preparation cost.

FIG. 9 is a block diagram showing a hardware configuration example of the system simulator of FIG.
In FIG. 9, the system simulator 101 includes a processor 11, a communication control device 12, a communication interface 13, a main storage device 14, and an external storage device 15. The processor 11, the communication control device 12, the communication interface 13, the main storage device 14, and the external storage device 15 are connected to each other via the internal bus 16. The main storage device 14 and the external storage device 15 are accessible from the processor 11.

Further, an input device 20 and an output device 21 are provided outside the system simulator 101. The input device 20 and the output device 21 are connected to the internal bus 16 via the input / output interface 17. The input device 20 is, for example, a keyboard, a mouse, a touch panel, a card reader, a voice input device, or the like. The output device 21 is, for example, a screen display device (liquid crystal monitor, organic EL (Electro Luminescence) display, graphic card, etc.), an audio output device (speaker, etc.), a printing device, and the like.

The processor 11 is hardware that controls the operation of the entire system simulator 101. The processor 11 may be a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). The processor 11 may be a single-core processor or a multi-core processor. The processor 11 may include a hardware circuit (for example, an FPGA (Field-Programmable Gate Array) or an ASIC (Application Specific Integrated Circuit)) that performs a part or all of the processing. The processor 11 may include a neural network.

The main storage device 14 can be composed of, for example, a semiconductor memory such as SRAM or DRAM. The main storage device 14 can store a program being executed by the processor 11 or provide a work area for the processor 11 to execute the program.

The external storage device 15 is a storage device having a large storage capacity, and is, for example, a hard disk device or an SSD (Solid State Drive). The external storage device 15 can hold an executable file of various programs and data used for executing the program. The external storage device 15 can store the simulation program 15A, the static information 15B, and the dynamic information 15C. The static information 15B includes instrument specification information such as an instrument ID of each SM, an instrument type, a load pattern, and a 30-minute value holding method. The dynamic information 15C includes a 30-minute value generated by simulating the operation of SM. The simulation program 15A may be software that can be installed in the system simulator 101, or may be incorporated in the system simulator 101 as firmware.

The communication control device 12 is hardware having a function of controlling communication with the outside. The communication control device 12 is connected to the network 19 via the communication interface 13. The network 19 may be a WAN (Wide Area Network) such as the Internet, a LAN (Local Area Network) such as WiFi or Ethernet (registered trademark), or a mixture of WAN and LAN. May be good.

The input / output interface 17 converts the data input from the input device 20 into a data format that can be processed by the processor 11, and converts the data output from the processor 11 into a data format that can be processed by the output device 21. ..

When the processor 11 reads the simulation program 15A into the main memory device 14 and executes the simulation program 15A, the operation of the SM can be simulated for each SM based on the data retention format of the SM. At this time, when the processor 11 executes the simulation program 15A, the functions of the time control processing unit 119, the regular meter reading processing unit 120, the response control processing unit 121, and the disturbance processing unit 122 of FIG. 1 can be realized.

The execution of the simulation program 15A may be shared by a plurality of processors and computers. Alternatively, the processor 11 may instruct a cloud computer or the like to execute all or a part of the simulation program 15A via the network 19 and receive the execution result.

101 system simulator, 102 test target system, 103 network,
1-11-1-N Simulated smart meter, 112 input unit, 113 output unit, 114 transmitter / receiver unit, 115 storage unit, 116 arithmetic processing unit, 117 static information table, 118 dynamic information table, 119 time control processing unit, 120 Regular meter reading processing unit, 121 Response control processing unit, 122 Disturbance processing unit

Claims (15)

A system simulator that simulates the operation of the smart meter for each smart meter based on the data retention format of the smart meter. The system simulator according to claim 1, wherein a history of 30-minute values updated based on the data retention format is retained for each smart meter. The system simulator according to claim 2, wherein each or both of the two types of data retention methods of the smart meter are simulated for each smart meter with respect to the 30-minute value. The system simulator according to claim 1, wherein a disturbance during operation of the smart meter is simulated for each smart meter. Static information including instrument specification information of the smart meter and
The system simulator according to claim 1, which holds dynamic information including a 30-minute value generated by simulating the operation of the smart meter. Detects the reception of the control request message and
The system simulator according to claim 5, wherein a control response message is created and transmitted based on the static information and the dynamic information. The static information includes a linked telegram format.
The system simulator according to claim 5, wherein the telegram content including the 30-minute value is linked to the linked telegram format. The static information includes a load pattern set for each smart meter.
The system simulator according to claim 5, which simulates the 30-minute value based on the load pattern. One time period of 30 minutes value for multiple days is stored in one record,
The system simulator according to claim 5, wherein a new record whose record number is incremented is added to the dynamic information each time the 30-minute value is updated. Stores multiple time periods of 30-minute values for multiple days in one record,
Multiple records are held in the dynamic information in a ring shape in units of a plurality of time periods of the one record.
The oldest record number and the latest record number for the multiple records are fixed,
The system simulator according to claim 5, wherein the latest record is generated when all the 30-minute values for the plurality of records are filled, and the oldest record is deleted. The system simulator according to claim 3, wherein the time deviation with respect to the actual machine at the time of updating the 30-minute value is held for each smart meter, and the 30-minute value is simulated according to the time when the time deviation is corrected. The system simulator according to claim 5, wherein dynamic information including a 30-minute value at the time of the previous end is acquired at startup, and the 30-minute value is continuously simulated from the 30-minute value at the time of the previous end. The system simulator according to claim 12, wherein when there is a time difference across the regular meter reading timing from the end of the previous time to the start of the current time, the dynamic information including the 30-minute value data for the non-operating time zone is complemented. N (N is a positive integer) simulated smart meters that simulate the operation of the smart meter for each smart meter,
Input section for inputting dynamic information including the 30-minute value at the end of the previous time,
An output unit that outputs dynamic information including the 30-minute value at the end of this time,
The system simulator according to claim 1, further comprising a transmission / reception unit that transmits a simulation result of the smart meter periodically or in response to an acquisition request. A simulation method that simulates the operation of the smart meter for each smart meter based on the data retention format of the smart meter.

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