JP2020190875A - System business coordination support device and method thereof - Google Patents

Abstract

To reduce a time for calculating a shared control condition estimate of a plurality of support objects.SOLUTION: A system business coordination support device comprises: a value rounding rule storage unit which divides input uncontrollable condition values into a plurality of groups according to their values and stores value rounding rules associating each group with rounding values; a business execution unit which transmits each rounding value to each business execution device for processing, calculates a plurality of business index estimates and a plurality of controllable condition estimates, and records the calculated estimates in a business index estimate table; an uncontrollable condition estimate calculation unit which calculates an uncontrollable condition estimate by applying the value rounding rules to a prediction value of the input uncontrollable condition value; a business index estimate extraction unit which extracts a business index estimate per execution timing of each business and a candidate of a shared controllable condition estimate corresponding to the business index estimate from the business index estimate table; a sum calculation unit which calculates a sum of the business index estimates per execution timing of each business per candidate of the shared controllable condition estimates; and a shared controllable condition estimate selection unit which selects a shared controllable condition estimate in which the sum of the business index estimates becomes the minimum.SELECTED DRAWING: Figure 3

Description

The present invention relates to a grid business cooperation support device that supports each business execution device while cooperating with a plurality of business execution devices that execute a plurality of business in the system, and a method thereof.

In the system, for example, the electric power system, a business execution device for carrying out operations in the electric power system, for example, equipment operation operations and its planning operations, is arranged. In this business execution device, business indexes such as equipment maintenance and operation costs are calculated for each business. At this time, for example, for the purpose of minimizing the cost related to power generation within a specific period, a plurality of demand forecast curves within a specific period are created by combining them, and a plan revision occurs due to a change in the demand forecast curve from among the multiple power generation plans. If this is the case, a technique for searching for an optimum power generation plan that minimizes the relational expression regarding the amount of correction has been proposed (see Patent Document 1). In Patent Document 1, "The demand forecast unit 102 creates a demand scenario which is a collection of a plurality of demand forecast curves and demand forecast curves. The power generation plan selection unit 104 uses the demand scenario created by the demand forecast unit 102. By doing so, each power generation plan created by the power generation plan group creation unit 103 is examined, its robustness is evaluated, and the power generation plan most robust against demand fluctuations is selected as the optimum power generation plan from the power generation plan group. "." Is stated.

Japanese Unexamined Patent Publication No. 2010-21347

In Patent Document 1, a set having stochastic weights is created for a plurality of different demand forecast curves, and the amount of modification of a plurality of power generation plans is evaluated for the set of demand forecast curves having stochastic weights. There is. On the other hand, since each of the plurality of different demand forecast curves changes with time as a continuous value, the calculation time increases as the number of combinations increases when the combination with a plurality of power generation plans is evaluated for each time. Therefore, there is a problem that cannot be applied to the work in which the calculation time is limited.

Therefore, an object of the present invention is to manage the uncontrollable condition value indicating the time series data as an approximate value according to a rule, and to reduce the calculation time for calculating the shared control condition approximate value shared by a plurality of support targets. And.

In order to solve the above problems, the present invention is a device that transmits and receives information to and from each of the support targets, each of a plurality of business execution devices that execute each process of a plurality of businesses in the system as support targets. An uncontrollable condition value indicating the time-series data of the system is input and discreteized, and the discrete uncontrollable condition value is divided into a plurality of groups according to the value and managed, and each of the plurality of groups. A value rounding rule storage unit that stores a value rounding rule for managing each of the uncontrollable condition values belonging to is associated with a rounding value, and each of the rounding values as a candidate for an uncontrollable condition approximate value for each support target. When information indicating the execution result for each business of each support target is transmitted and received from each support target, the minimum value of the business index of each business of each support target is indicated based on the received information. A plurality of controllable condition approximate values, which are shared constraint condition values for each of the support targets when calculating each of the plurality of business index approximate values, are calculated, and the plurality of controllable possible values are calculated. The business execution unit that manages each of the condition approximate values as a candidate for the shared controllable condition approximate value, inputs the predicted value of the uncontrollable condition value, and applies the value rounding rule to the input predicted value of the uncontrollable condition value. The uncontrollable condition approximate value calculation unit that applies and calculates the uncontrollable condition approximate value belonging to any one of the plurality of groups, and the uncontrollable condition approximate value calculation unit calculated by the uncontrollable condition approximate value calculation unit. Based on the approximate value, from the calculation results of the business execution department, the business index approximate value for each execution opportunity of the business in each support target, and the shared controllable condition approximate value corresponding to the business index approximate value. Based on the extraction results of the business index approximate value extraction unit that extracts value candidates and the business index approximate value extraction unit, the sum of the business index approximate values for each execution opportunity of the business in each support target is described above. The total sum of the business index approximate values is minimized from the total sum calculation unit calculated for each candidate of the shared controllable condition approximate value and the candidates of each shared controllable condition approximate value showing the calculation result of the total sum calculation unit. It is characterized by including a shared controllable condition approximate value selection unit that selects a candidate for a shared controllable condition approximate value as a shared controllable condition approximate value to be searched.

According to the present invention, it is possible to manage the uncontrollable condition value indicating the time series data as an approximate value according to a rule, and reduce the calculation time for calculating the shared control condition approximate value shared by a plurality of support targets. it can.

Issues, configurations and effects other than those described above will be clarified by the description of the following embodiments.

It is a block diagram which shows the example of the business cooperation which solves the dispersion constraint optimization problem. (A) is a configuration diagram showing an example of creating a business index total calculation table, and (b) is a configuration diagram showing an example of a process of creating a business index total calculation table. It is a block diagram which shows the example of the system business cooperation support apparatus in Example 1. FIG. It is a flowchart which shows the process of calculating the shared control possible condition approximate value by the grid business cooperation support apparatus in Example 1. FIG. It is a flowchart which shows the process of the value rounding rule definition part in Example 1. FIG. It is a block diagram which shows the creation example of the sorted uncontrollable condition value in Example 1. FIG. It is a block diagram which shows the creation example of the value rounding rule table in Example 1. FIG. It is a flowchart which shows the processing of the business index approximate table creation part in Example 1. FIG. It is a flowchart which shows the processing of the index approximate table addition part in Example 1. FIG. It is a flowchart which shows the process of the sharing controllable condition approximate value derivation part in Example 1. FIG. It is a flowchart which shows the process of the business application optimization calculation part in Example 1. FIG. It is a block diagram of the table which shows the example of the combination process of the related index in Example 1. FIG. It is a block diagram which shows the example of the system business cooperation support apparatus in Example 2. It is a block diagram which shows the example of the correction type value rounding rule table in Example 2. It is a flowchart which shows the generation process of the correction type value rounding rule table in Example 2. It is a block diagram which shows the example of the system business cooperation support apparatus in Example 3. It is a block diagram which shows the example of the subdivision value rounding rule table in Example 3. It is a flowchart which shows the generation process of the subdivision value rounding rule table in Example 3. FIG. It is a block diagram which shows the example of the business cooperation support management screen in Example 4.

Hereinafter, examples of the present invention will be described with reference to the drawings.

In this embodiment, the time-varying business index approximate values of the first business and the second business are input by inputting the approximate values that are discretized by the rounding rule of the uncontrollable condition values that change with time in each of the first business and the second business. Search for an approximate value of shared controllable conditions that minimizes the sum. By discretizing the uncontrollable condition value, it is shared with the uncontrollable condition value that is input when each business calculates the business index approximate value while ensuring the completeness of the values that the business index approximate value can take for each business execution. Reduce the number of combinations of controllable condition values to a finite number. By discretizing the uncontrollable condition value by such a rounding rule, it is possible to efficiently search for the approximate value of the shared controllable condition with a reduced amount of calculation.

Hereinafter, when the first business and the second business have the shared controllable condition value that needs to adopt the same controllable condition value, the sum of the business index values of the first business and the second business is minimized. After showing an example of the variance constraint optimization problem and an example of the business index summation table within a specific period for exploratory solving of the variance constraint optimization problem, the search for the approximate value of the shared controllable condition is streamlined. The grid business cooperation support device will be explained.

FIG. 1 is a configuration diagram showing an example of business cooperation for solving a dispersion constraint optimization problem. In FIG. 1, the first business application execution device 101 inputs a first uncontrollable condition value 141, which is time-series data of electric power demand, and a controllable condition value that minimizes the first business index 131 of the first business. The first business index optimization program execution unit 111 for obtaining the above is provided. The second business application execution device 102 inputs the second uncontrollable condition value 142, which is the time series data of the electric power demand, and obtains the controllable condition value that minimizes the second business index 132 of the second business. The business index optimization program execution unit 112 is provided.

Here, when the first business index optimization program execution unit 111 and the second business index optimization program execution unit 112 have a shared controllable condition value 121 having the same controllable condition value as a constraint, between the two. A distribution constraint optimization problem arises.

For example, in the case of only the first business, in the first business application execution device 101, in order to minimize the first business index 131 such as the equipment cost and the adjustment power procurement fee, the first business index optimization program execution unit 111 The first that minimizes the first business index 131 at that time by solving the optimization problem by inputting the value at a certain time of the first uncontrollable condition value 141 that changes with time such as demand forecast and renewable energy power generation amount. The controllable condition value can be obtained.

On the other hand, when the first business and the second business targeted in this embodiment have the shared controllable condition value 121 as a constraint, the first controllable condition value and the second controllable condition value are the same in a certain period. The shared controllable condition value 121 is obtained.

Specifically, the first business in the first business application execution device 101 is a facility planning business for the purpose of reducing operating costs for maintaining the stability of the power system, and the second business in the second business application execution device 102. When the business is a power transmission operation business for the purpose of reducing power transmission loss, the power transmission capacity (upper limit value of power transmission capacity), which is the amount that can flow power to a specific power transmission line, is the shared controllable condition value 121. Become. In the facility planning business, which is the first business, the smaller the transmission capacity, the lower the operating cost, but in the second business, the power transmission operation business, the larger the transmission capacity, the smaller the transmission loss. In such a situation, the problem of obtaining the shared controllable condition value 121 for minimizing the sum of the first business index 131 and the second business index 132 is the dispersion constraint optimization problem targeted in this embodiment. ..

Since the variance constraint optimization problem targeted in this embodiment is an NP-hard problem, it is necessary to search for a solution. FIG. 2 shows an example of creating the total business index calculation table 201, which is created to search for a solution. FIG. 2A is a configuration diagram showing an example of creating the business index total calculation table 201, and FIG. 2B is a configuration diagram showing an example of the process of creating the business index total calculation table 201.

The first business in the first business application execution device 101 and the second business in the second business application execution device 102 are not always executed at the same time and at the same frequency, and the first business is performed within a specific period. There is a relationship such as executing once and executing the second task multiple times. If the first job is executed once and the shared controllable condition value is determined within the specific period, the shared controllable condition value cannot be changed even while the second job is executed a plurality of times. That is, the shared controllable condition that minimizes the sum of the first business index 131 and the second business index 132 by inputting the uncontrollable condition value that changes with time within a specific period and the shared controllable condition value that is a fixed value. Search for a value. The business index total calculation table 201 is a table describing the business indexes at the time of each business execution when the shared controllable condition value candidates within a specific period are changed for the search.

The first column of the business index total calculation table 201 is the shared controllable condition approximate value column 211, and the second and subsequent columns are the business index approximate value column 212. Information about the shared controllable condition approximate value is recorded in the shared controllable condition approximate value column 211. Information about the first business application is recorded in the first column of the business index approximate value column 212, and information about the second business application is recorded in the second and subsequent columns of the business index approximate value column 212. Hereinafter, an example of creating the business index total calculation table 201 and an example of searching for a shared controllable condition approximate value that minimizes the business index total will be shown.

Within a specific period, the first business is executed first, and then the second business is executed multiple times, and the business index total calculation table 202 at the first time point, the business index total calculation table 203 in the middle of the second time point, The business index total calculation table 204 at two time points is created in order. First, as shown in FIG. 2B, with respect to the business index total calculation table 202 at the first time point, the business index minimum value (“200”) of the first business and the business index minimum value (“200”) at that time are input with the first uncontrollable condition value as an input. The controllable condition value (“100 MW”) is obtained. After that, the controllable condition value (“100 MW”) is added to the shared controllable condition approximate value column 211.

Next, add a column whose column name is a combination of the application name of the first business ("first business application") and the business execution time ("2018/10/10 8:00"), and add the additional column. The business index minimum value (“200”) is added to the cell where the rows of the controllable condition value and the controllable condition value intersect. The intermediate state of the business index total calculation table at the second time point is the business index total calculation table 203 in the middle of the second time point. When creating the business index total calculation table 203, the business index minimum value (“100”) and the controllable condition value of the second business are the same as when the business index minimum value and the controllable condition value of the first business are obtained. ("180 MW") is obtained, and the result is similarly input to the business index total calculation table 203. After the input, the blank cell of the business index total calculation table 203 is filled. The result is the total business index calculation table 204 at the second time. In the blank cell on the upper right of the total business index calculation table 203 in the middle of the second time point, the business index value when the estimated value of the share controllable condition at the time of executing the second business application is set to 100 MW is calculated and input. To do. That is, the business index value of the second business application is calculated when the controllable condition value (“100 MW”) that minimizes the business index value of the first business application is set as the shared controllable condition approximate value (“100 MW”). ("130").

Similarly, the blank cell at the lower left of the total business index calculation table 203 shares the controllable condition value (“180 MW”) that minimizes the business index of the second business application when the first business application is executed. The business index of the first business application when adopted as an approximate value (“180 MW”) is calculated and input to a blank cell (“220”). As described above, the business index total calculation table 201 is created while increasing the candidates for the approximate values of the shared controllable conditions.

When the sum of the business index values is obtained in the row direction for the business index sum calculation table 201 created here, the sum of the business index values within a specific period can be calculated for each shared controllable condition approximate value. By comparing these and selecting the row that minimizes the sum, it is possible to exploratively extract the approximate value of the shared controllable condition that minimizes the sum of the first and second business indicators within a specific period.

When the shared controllable condition value is exploratoryly obtained from the business index total calculation table 201, it is necessary to enumerate a large number of candidate values in the shared controllable condition approximate value column 211 by solving the optimization problem, which increases the amount of calculation. ..

Therefore, in the following embodiment, the number of candidates is set by using the uncontrollable condition value discretized by the rounding rule as the uncontrollable condition approximate value, and the controllable condition value that minimizes each business index value as the discretized approximate value. Is reduced to a finite number, and the calculation result can be reused when the same input value is obtained after discretization. An example of the system business cooperation support device that realizes the above search efficiency will be described below.

FIG. 3 is a configuration diagram showing an example of the system business cooperation support device in this embodiment. The grid business cooperation support device 301 cooperates with a plurality of business execution devices that execute processing of a plurality of businesses in the grid, for example, a power system, for example, the first business application execution device 101 and the second business application execution device 102. , The first business application execution device 101 and the second business application execution device 102 are supported as support targets, respectively. The grid business cooperation support device 301 is realized by using, for example, a computer device including a memory 311, a CPU 312, a communication device 313, a storage device 314 such as a hard disk, a display device 315, and an input device 316. It is possible to send and receive information wirelessly or by wire with the first business application execution device 101 and the second business application execution device 102.

The display device 315 is a display or the like, and displays the execution status and execution result of the process by the system business cooperation support device 301. The input device 316 is a device for inputting an instruction to a computer such as a keyboard or a mouse, and inputs an instruction such as starting a program. The CPU 312 executes various programs stored in the memory 311. The communication device 313 exchanges various data and commands with other devices via a LAN (Local Area Network) or the like.

The storage device 314 is a time-varying uncontrollable condition value 331, which is an input value of various programs 321 for executing the grid business cooperation support device 301, the first business application execution device 101, and the second business application execution device 102. 1 Controllable condition value 332 determined by the business application execution device 101 and the second business application execution device 102 by solving the optimization problem, and the uncontrollable condition of the first business application execution device 101 and the second business application execution device 102. The uncontrollable condition value 331 is discreteized by the business index value 333 calculated by inputting the value 331 and the controllable condition value 332, the value rounding rule 334 for discriminating the uncontrollable condition value 331 which is a continuous value, and the value rounding rule 334. The business index approximate value 336 and the business index approximate table 337 calculated by inputting the uncontrollable condition approximate value 335 and the uncontrollable condition approximate value 335 into the first business application execution device 101 or the second business application execution device 102 are saved. To do. In addition, in the business index approximate table 337, the business index approximate value 336 calculated by the first business application execution device 101 or the second business application execution device 102 and a plurality of shared controllable condition values are shown for each business execution timing. Information about the candidate and a plurality of uncontrollable condition approximate values 335 is recorded.

The memory 311 holds various programs 321 for which the system business cooperation support device 301 executes processing.

The CPU 312 of the grid business cooperation support device 301 reads the program 321 stored in the storage device 314 and various data such as values, rules, and tables into the memory 311 and executes them. The program 321 includes a value rounding rule definition unit 341, a business index approximate table creation unit 342, a business application optimization calculation unit 343, and a shared controllable condition approximate value derivation unit 344. The value rounding rule definition unit 341 is composed of an uncontrollable condition value storage unit 351, a statistical calculation unit 352, and a value rounding rule storage unit 353. The business index approximate table creation unit 342 is composed of an uncontrollable condition value collection unit 361, an uncontrollable condition approximate value calculation unit 362, an index approximate value search unit 363, and an index approximate table addition unit 364. The business application optimization calculation unit 343 is composed of a business application execution unit 371 and a business application result execution unit 372. The shared controllable condition approximate value derivation unit 344 includes an index approximate value total calculation unit 381 and a shared controllable condition approximate value selection unit 382.

FIG. 4 is a flowchart for explaining the process when the approximate value of the shared controllable condition is obtained by the system business cooperation support device in this embodiment. In the grid business cooperation support device in this embodiment, the uncontrollable condition is applied by applying the value rounding rule calculated by inputting the uncontrollable condition value in the first period to the predicted value of the uncontrollable condition value in the second period. Calculate the approximate value, calculate the business index approximate value calculated from the uncontrollable condition approximate value for each business execution during the second period, create the business index approximate table, and create the business index approximate table, and then perform the second period from the business index approximate table. The process of obtaining the shared controllable condition approximate value that minimizes the sum of the first business index approximate value and the plurality of second business index approximate values is executed.

Specifically, the value rounding rule definition unit 341 sets, for example, uncontrollable condition values (time series data) to be input to the first business application execution device 101 and the second business application execution device 102 in the first period. , It is received from the input device 316 or the uncontrollable condition value generator (not shown) via the communication device 313, and the received uncontrollable condition value is stored in the storage device 314 as the uncontrollable condition value 331 (process 401). After that, the value rounding rule definition unit 341 calculates statistics such as the maximum value, the minimum value, the mean value, and the variance of the accumulated uncontrollable condition value 331, and the uncontrollable condition approximate value in the first period is calculated from the calculation result. A value rounding rule is derived so that the frequency of occurrence is even, and the derived value rounding rule is stored in the storage device 314 as the value rounding rule 334 (process 402).

Next, the business application optimization calculation unit 343 reads the price rounding rule 334 from the storage device 314 before the second period, and based on the read price rounding rule 334, the uncontrollable condition after applying the price rounding rule. Calculates and calculates candidates for the business index approximate value and the shared controllable condition approximate value that minimizes the business index approximate value when the approximate value is input to the first business application execution device 101 and the second business application execution device 102. The candidate of the shared controllable condition approximate value is stored in the business index approximate table 337 of the storage device 314 (process 403).

Next, the business index estimation table creation unit 342 sets the predicted value in the second period of the uncontrollable condition value that is the input of the first business application execution device 101 and the second business application execution device 102, for example, the input device 316. Alternatively, it is received from the uncontrollable condition predicted value generator (not shown) via the communication device 313, and the uncontrollable condition estimated value 335 is calculated by applying the value rounding rule 334 to the received predicted value (process 404). After that, it is searched for whether or not a set of the calculated uncontrollable condition approximate value and the business index approximate value exists in the business index approximate table 337 of the storage device 314 (process 405).

Next, the business index estimation table creation unit 342 determines whether or not a set of business index approximate values exists from the search result in the process 405 (process 406). When it is determined in process 406 that a set of business index approximate values exists, the business index approximate table creation unit 342 adopts the determination result as the value of the business index approximate table 337 in the second period, and proceeds to process 409. If it is determined that the set of business index approximate values does not exist, the process proceeds to process 407.

In the process 407, the business application optimization calculation unit 343 executes the first business application execution device 101 and the second business application execution device 102 by inputting the uncontrollable condition approximate value to the minimum value of the business index approximate value. The approximate value of the controllable condition at that time is derived. After that, the business application optimization calculation unit 343 adopts the controllable condition approximate value in the first business application execution device 101 and the second business application execution device 102, and the predicted value of the uncontrollable condition approximate value during the second period. Is entered, the estimated business index value during the second period is calculated, and the calculated estimated business index value during the second period is added to the business index approximate table 337 of the storage device 314, and the business index approximate table is added. The information of 337 is updated and the process returns to process 405 (process 408).

Finally, in the process 409, the business index estimation table creation unit 342 selects the row having the smallest sum for the business index estimation table 337 in the second period, and shares the controllable condition approximate value common to the rows. Output as an approximate controllable condition value, and then end the processing in this routine.

Here, in the process 403, the business application optimization calculation unit 343, for example, supports each support target (rounded value) of the uncontrollable condition approximate value (first business application execution device 101 and second business application execution device 102). When information indicating the execution result for each business of each support target is received from each support target, a plurality of business indexes indicating the minimum value of the business index of each business of each support target are received based on the received information. Each of the plurality of controllable condition approximate values calculated by calculating the approximate value and the plurality of controllable condition approximate values that are the shared constraint condition values of each support target when calculating each of the plurality of business index approximate values. Functions as a business execution unit that manages as candidates for estimated values of shared controllable conditions.

Further, in the value rounding rule definition unit 341, the uncontrollable condition value of the first period is used to discretize the uncontrollable condition value of the second period, and the index approximate value and the index approximate value can be shared and controlled to be minimized. Derive a value rounding rule that makes it possible to prepare comprehensively without any shortage when reusing the approximate condition value. The process of the value rounding rule definition unit 341 will be described with reference to the flowchart of FIG.

First, in the first period, the uncontrollable condition value storage unit 351 of the value rounding rule definition unit 341 receives the uncontrollable condition value that is input to each business in the first business application execution device 101 and the second business application execution device 102. Is collected and accumulated for each business (processing 501).

Next, after the uncontrollable condition value for each business is accumulated in the uncontrollable condition value storage unit 351, the statistical calculation unit 352 calculates the value rounding rule by performing the processes shown in the processes 502 to 505. In this embodiment, in order to prevent a shortage of the calculated business index approximate value when reusing the calculation result such as the index approximate value, the uncontrollable condition approximate value after applying the value rounding rule is the maximum value and the minimum value. Calculate the value rounding rule so that it appears with equal probability between.

Specifically, in the process 502, the statistical calculation unit 352 creates the sorted uncontrollable condition value 601 in which the accumulated uncontrollable condition value is sorted in descending order as shown in FIG. The sorted uncontrollable condition value 601 sets the uncontrollable condition value accumulated in the first period as time series data of the power system into a plurality of groups according to the value, for example, the first section 611 and the second section. It is managed by dividing it into 612, the third section 613, and so on. Information of "10.0", "9.2", and "8.0" is recorded as uncontrollable condition values in the first section 611 of the first group, and in the second section 612 of the second group. Information of "8.0", "7.6", "7.5", and "7.0" is recorded as the uncontrollable condition value, and the uncontrollable condition is recorded in the third section 613 of the third group. As the value, the information of "7.0", "6.4", "5.4", and "4.0" is recorded.

Next, in the process 503, the statistical calculation unit 352 arbitrarily sets the number of types of the uncontrollable condition approximate value, and calculates the number of sections obtained by dividing the uncontrollable condition value by the number of types. After that, in the process 504, the statistical calculation unit 352 cuts out the sorted uncontrollable condition value 601 by the number of the sections in descending order, and calculates from the maximum value and the minimum value after cutting out and the two values of the maximum value and the minimum value. The average value is derived as a rounded value. From the second section onward, the minimum value of the previous section is used as the maximum value for calculation.

After that, the statistical calculation unit 352 adds the maximum value, the minimum value, and the rounding value obtained by the calculation to the value rounding rule table 701 shown in FIG. 7 in the process 505. The value rounding rule table 701 is composed of a rounding value 711, a maximum value 712, and a minimum value 713. The value rounding rule table 701 manages the uncontrollable condition values accumulated in the first period by dividing them into a plurality of groups (intervals or rows) according to the values, and manages the uncontrollable condition values belonging to each of the plurality of groups. It is a table for managing each condition value in association with an uncontrollable condition approximate value which is a rounding value 711, and is composed of information defined as a value rounding rule 334. The plurality of groups (intervals or rows) are finite, and the uncontrollable condition approximate value, which is the rounding value 711, can be managed as a finite number.

That is, even if the power demand of the power system fluctuates greatly and the uncontrollable condition value is collected as innumerable time series data, by applying the value rounding rule 334 to the uncontrollable condition value, innumerable uncontrollable condition value. Can be divided into a plurality of groups and managed by a finite number of uncontrollable condition approximate values (rounded values). Further, the uncontrollable condition approximate value accumulated in the first period and the uncontrollable condition approximate value accumulated thereafter can be divided into a plurality of groups according to the value and managed by patterning. The rounding value 711 is set so that the appearance frequency of the uncontrollable condition approximate value in the first period is equal. That is, the rounding value 711 is such that when the value rounding rule 334 is applied to the predicted value of the uncontrollable condition value, the uncontrollable condition approximate value is between the maximum value 712 and the minimum value 713 of the predicted value of the uncontrollable condition value. It is defined as a value that appears with equal probability.

In the first row of the price rounding rule table 701, information belonging to the first section 611 is recorded as the information of the first group, and in the second row of the price rounding rule table 701, the information of the second group is recorded. Information belonging to the second section 612 is recorded, and information belonging to the third section 613 is recorded as the information of the third group in the third row of the price rounding rule table 701.

For example, in the first row of the value rounding rule table 701, among the information belonging to the first interval 611 (“10.0”, “9.2”, “8.0”), the maximum value “10.0” is displayed. Is recorded in the first line of the maximum value 712, the minimum value "8.0" is recorded in the first line of the minimum value 713, and the average of the maximum value "10.0" and the minimum value "8.0". The value "9.0" is recorded in the first line of the rounding value 711. At this time, for example, a rule for rounding an uncontrollable condition value less than the maximum value and more than the minimum value to a rounding value is defined as a value rounding rule 334. If it is equal to or more than the maximum value defined in the value rounding rule 334, it may be rounded to the maximum rounding value, and if it is less than the minimum value, it may be rounded to the minimum rounding value. The above processes 504 and 505 are repeatedly applied to the sorted uncontrollable condition value.

After that, the statistical calculation unit 352 determines whether or not the cutout section remains (process 506), and if it is determined in the process 506 that the cutout section remains, the process returns to the process 504 and the cutout section is cut out in the process 506. If it is determined that no section remains, the process proceeds to process 507. In the process 507, the value rounding rule storage unit 353 records the information of the value rounding rule table 701 in the storage device 314, and then ends the process in this routine.

By the above value rounding rule derivation process, the uncontrollable condition approximate value appears equally and comprehensively between the maximum value and the minimum value, and the combination of the uncontrollable condition approximate value and the business index approximate value can be reused. The value rounding rule 334 can be derived.

Here, the value rounding rule definition unit 341 inputs an uncontrollable condition value indicating time-series data of the power system and discretizes it, and the discrete uncontrollable condition value is divided into a plurality of groups (first) according to the value. Section 611, second section 612, ...), And the uncontrollable condition values belonging to each of the plurality of groups are managed in association with the rounded value 711, which is the approximate uncontrollable condition value. It functions as a value rounding rule storage unit that stores the value rounding rule (334).

The business application optimization calculation unit 343 executes the process at any time after the value rounding rule 334 is defined until the predicted value of the second period is received. The processing content is the case where the target first business application execution device 101 or the second business application execution device 102 outputs the minimum value of the business index approximate value as the business index approximate value by inputting the uncontrollable condition approximate value. The controllable condition value determined by the first business application execution device 101 or the second business application execution device 102 is stored in the storage device 314 as an approximate controllable condition value. The process will be described with reference to the flowchart of FIG.

First, the business application execution unit 371 of the business application optimization calculation unit 343 reads the information of the value rounding rule table 701 from the storage device 314, and the rounding value 711 described in the value rounding rule 334 of the read information (“9.0”). , "7.5", "5.5") are extracted as candidates for uncontrollable condition approximate values (process 1101). After that, the business application execution unit 371 sends the extracted candidates for the uncontrollable condition approximate value to the first business application execution device 101 and the second business application execution device 102, and sends the first business application execution device 101 and the second business application. The minimum value of each business index approximate value and the controllable condition approximate value at that time are acquired from the execution device 102, and the minimum value of the acquired business index approximate value and the controllable condition approximate value are stored as a related index combination. It is stored in 314 (process 1102).

Here, the information of the related index combination to be saved is stored in the related index combination table 1201 for minimizing the approximate value of the business index, as shown in FIG. FIG. 12 is a block diagram of a table showing an example of the combination process of the related indexes in the first embodiment. In the related index combination table 1201, each row corresponds to the related index combination, and is composed of the controllable condition approximate value 1211, the uncontrollable condition approximate value 1212, and the business index approximate value 1213. The related index combination table 1201 is created corresponding to each of the first and second business applications.

From the result of processing 1102, the information of "32.0", "45.0", and "50.0" is provided as the controllable condition approximate value 1211 in the first to third rows of the related index combination table 1201. Information of "9.0", "7.5", and "5.5" is recorded as the uncontrollable condition approximate value 1212, and "7.0" and "6." are recorded as the business index approximate value 1213. Information of "0" and "5.0" is recorded.

Next, when calculating the related index combination in which the controllable condition approximate value 1211 and the uncontrollable condition approximate value 1212 are changed, the business application execution unit 371 first fixes the controllable condition approximate value 1211 and uncontrollable condition approximate value 1211. As shown in FIG. 12, the value 1212 is changed to the rounding value 711 (“9.0”, “7.5”, “5.5”) shown in the value rounding rule table 701. Table 1202 is created (process 1103).

In the related index combination candidate table 1202, each row corresponds to the related index combination, and is composed of the controllable condition approximate value 1211, the uncontrollable condition approximate value 1212, and the business index approximate value 1213. The related index combination candidate table 1202 is created corresponding to each of the first and second business applications. At this time, the controllable condition approximate value 1211, the uncontrollable condition approximate value 1212, and the business index approximate value 1213 include the controllable condition approximate values "32.0", "45.0", and "50.0", which cannot be controlled. Approximate condition values "9.0", "7.5", "5.5", estimated business index values "7.0", "6.0", "5.0" are multiple blocks B1, B2, respectively. , B3, ... are recorded separately. Further, in the block B1 of the uncontrollable condition approximate value 1212, the value of the rounding value 711 (“9.0”, “7.5”, “5.5”) described in the value rounding rule table 701 is displayed. It is recorded as information of the uncontrollable condition approximate value 1212.

Next, the business application execution unit 371 combines the controllable condition approximate value 1211 and the uncontrollable condition approximate value 1212 included in the related index combination candidate table 1202 with the first business application execution device 101 and the second business application execution device. After inputting 102, the estimated business index value acquired from the first business application executing device 101 and the second business application executing device 102 is added to the related index combination candidate table 1202 as the information of the estimated business index value 1213, and the figure is shown. As shown in 12, the expansion-related index combination table 1203 is created, the information of the created expansion-related index combination table 1203 is recorded in the storage device 314 (process 1104), and then the processing in this routine is terminated.

At this time, for example, the business application execution unit 371 includes the controllable condition approximate value (“32.0”) and the uncontrollable condition approximate value (“7.”) included in the second row of the block B1 of the related index combination candidate table 1202. As the information obtained from the combination with 5 ”), the estimated business index value (“8.0”) of the second business application is added to the expansion-related index combination table 1203.

By the above processing, it is possible to calculate the approximate business index value required for creating the approximate business index table 337 in the second period, and to accumulate the calculation result for reuse. At this time, the business application optimization calculation unit 343 can record the information of the related index combination candidate table 1202 in the business index estimation table 337. In this case, the business application optimization calculation unit 343 sends each rounding value 711 as a candidate for the uncontrollable condition approximate value to each support target, and receives information indicating the execution result for each business of each support target from each support target. If so, a plurality of business index approximate values indicating the minimum value of the business index of each business of each support target based on the received information, and each of the plurality of business index approximate values when calculating each of the above-mentioned support targets. It functions as a business execution unit that calculates a plurality of controllable condition approximate values that are shared constraint condition values and manages each of the calculated plurality of controllable condition approximate values as candidates for the shared controllable condition approximate value.

Further, in the business index estimation table creation unit 342, after calculating the uncontrollable condition approximate value obtained by dispersing the predicted value of the uncontrollable condition value in the second period according to the value rounding rule 334, a plurality of operations are executed in the second period. For the business application of, calculate the controllable condition approximate value that minimizes the business index approximate value by inputting the uncontrollable condition approximate value at a certain point, and share the calculated controllable condition approximate value. As a result, the calculation result can be recorded in the business index approximate table 337 by calculating the business index approximate value in each business when applied to all the business applications executed in the second period. By using this business index approximate value table 337, the shared controllable condition approximate value deriving unit 344, which will be described later, can searchly obtain the shared controllable condition approximate value that minimizes the sum of the business index approximate values. .. The process will be described with reference to the flowchart of FIG. FIG. 8 is a flowchart showing the processing of the business index estimation table creation unit in the first embodiment.

First, the uncontrollable condition value collecting unit 361 of the business index estimation table creation unit 342 predicts the same uncontrollable condition value as the input of the first business application execution device 101 and the second business application execution device 102 in the second period. The value is received, and the predicted value of the received uncontrollable condition value is sent to the uncontrollable condition approximate calculation unit 362 (process 801). The uncontrollable condition approximate calculation unit 362 reads the value rounding rule table 701 defined by the value rounding rule definition unit 341, and controls the uncontrollable condition value according to the value rounding rule 334 recorded in the read value rounding rule table 701. Convert to an approximate value (process 802).

At this time, the uncontrollable condition approximate calculation unit 362 inputs the predicted value of the uncontrollable condition value, applies the value rounding rule 334 to the predicted value of the input uncontrollable condition value, and is one of a plurality of groups. The uncontrollable condition approximate value belonging to one group will be calculated. After that, the uncontrollable condition approximate calculation unit 362 sends the converted uncontrollable condition approximate value to the index approximate value search unit 363.

Next, the index approximate value search unit 363 that has received the converted uncontrollable condition approximate value refers to the business index approximate table 337 stored in the storage device 314, and based on the reference result, the converted uncontrollable condition. It is confirmed whether or not the same uncontrollable condition approximate value as the approximate value exists (process 803). The index approximate value search unit 363 executes this process for each target business application execution device such as the first business application execution device 101 and the second business application execution device 102.

After that, the index approximate value search unit 363 determines whether or not the same uncontrollable condition approximate value as the converted uncontrollable condition approximate value exists (process 804), and the uncontrollable condition approximate value is set in process 804. When the determination result that it exists is obtained, the process proceeds to process 805, and when the determination result that the uncontrollable condition approximate value does not exist is obtained in process 804, the process proceeds to process 806.

In the process 805, the index approximate value search unit 363 extracts the minimum value of the business index approximate value corresponding to the uncontrollable condition approximate value sent from the uncontrollable condition approximate calculation unit 362 and the controllable condition approximate value at that time. Proceed to process 808.

In the processes 806 to 807, when the process by the business application optimization calculation unit 343 is executed and the uncontrollable condition approximate value is input to the first business application execution device 101 or the second business application execution device 102, The minimum value of the business index approximate value output by any of the business application execution devices and the controllable condition approximate value at that time are taken out.

The business application execution unit 371 of the business application optimization calculation unit 343 inputs the uncontrollable condition approximate value to the first business application execution device 101 or the second business application execution device 102, and sets the minimum value of the business index approximate value and , Send a request to output the controllable condition approximate value at that time (process 806). After that, the business application result receiving unit 372 records the minimum value of the business index approximate value obtained as a result of the request in the process 806 and the controllable condition approximate value at that time in the storage device 314, and records it in the processing 808. Proceed (process 807).

Next, the index estimation table addition unit 364 sets the controllable condition approximate value obtained in the process 805 or the process 807 as the shared controllable condition approximate value throughout the second period, and sets the first in the second period. The business index estimation table 337 is updated by calculating the index estimation value for each opportunity to execute the business application execution device 101 and the second business application execution device 102, or by reusing the calculation result under the same conditions (process 808). ), After that, the processing in this routine ends. The details of the update method of the business index estimation table 337 in the process 807 will be described later.

By the above business index approximate table creation process, it is possible to create a business index approximate table 337 that makes it possible to compare the business index approximate values when the shared controllable condition approximate values are changed. At this time, the business index approximate value and the controllable condition approximate value calculated by the business application optimization calculation unit 343 in the process 403 of FIG. 4 without recalculating the business index approximate value and the controllable condition approximate value calculated in the past. The approximate value can be reused.

The index estimation table addition unit 364 calculates the business index approximate value that changes according to the time change of the uncontrollable condition approximate value within the second period for each candidate of the shared controllable condition approximate value, and calculates the business index approximate value. Add to 337. This makes it possible to compare the estimated values of business indicators when the estimated values of shared controllable conditions are changed.

Here, the index approximate value search unit 363 and the index approximate table addition unit 364 are based on the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculation unit 362, and the business application optimization calculation unit (business execution unit) 343. From the calculation result of the above or the estimated value of the business index, the estimated value of the business index for each execution opportunity of each business in each support target, and the candidate of the estimated value of the shared controllable condition corresponding to the estimated value of each business index are extracted. It functions as an index approximate value extraction unit. At this time, the business index approximate value extraction unit refers to the business index approximate value table (337) based on the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculation unit 362, and the uncontrollable condition approximate value calculation unit 362. If there is an uncontrollable condition approximate value that is the same as the uncontrollable condition approximate value calculated by, the minimum value of the business index approximate value corresponding to the same uncontrollable condition approximate value and the control that is a candidate for the shared controllable condition approximate value. The possible condition approximate value is extracted from the business index approximate value table 337, and the extraction result is transferred to the shared controllable condition approximate value derivation unit 34. Further, the business application optimization calculation unit 343 is provided with the condition that the same uncontrollable condition approximate value as the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculation unit 362 does not exist in the business index approximate value table 337. It functions as a business execution unit that requests the support target to send information about the minimum value of the business index approximate value and the controllable condition approximate value when the same uncontrollable condition approximate value is input.

Hereinafter, a process that enables comparison of the estimated business index values when the estimated shared controllable condition values are changed will be described with reference to the flowchart of FIG.

First, the index estimation table addition unit 364 specifies the business application name for inputting the uncontrollable condition value 331 and its predicted time (process 901), and the business index estimation table 337 shows the predicted time and business of the uncontrollable condition value. A column whose column ID is the combination of application names is added (process 902). Next, the index approximate value table addition unit 364 adds a row having the shared controllable condition approximate value acquired by the index approximate value search unit 363 as the row ID to the business index approximate value table 337 (process 903). After that, the index estimation table addition unit 364 adds the business index estimation value acquired by the index estimation value search unit 363 to the business index estimation table 337 for the cell where the added column and row intersect (process 904). ..

According to the above processes 901 to 904, for example, when the business application name is the second business application and the time is "2018/10/10 10:00", the total business index calculation table 203 in the middle of the second time point (Fig. 2). (See), the business index estimation table 337 in the middle of the second time point is prepared.

After that, the index estimation table addition unit 364 determines whether or not there is a value non-input cell in the business index estimation table 337 (process 905), and obtains a determination result that the value non-input cell exists in the process 905. In this case, the process proceeds to process 906, and when the determination result that there is no value non-input cell does not exist in process 905, the process proceeds to process 908.

In the process 906, the approximate value of the business index is input in the value non-input cell. Specifically, the index estimation table addition unit 364 extracts a cell for which no value has been input from the business index estimation table 337, and acquires the column ID and row ID of the corresponding cell. At this time, the uncontrollable condition approximate value at the time indicated by the business application name and the column ID is acquired from the column ID, and the shared controllable condition approximate value is acquired from the row ID.

Next, based on the acquired information, the index estimation table addition unit 364 uses the uncontrollable condition approximate value and the shared controllable condition approximate value acquired in the process 906 as the information of the business application execution device indicated by the business application name. The business index approximate value is acquired from the calculation result of the business application optimization calculation unit 343, and the acquired business index approximate value is added to the non-input cell (process 907). At this time, the index estimation table addition unit 364 inputs the business index estimation value into the corresponding cell, and repeats this process until there are no cells for which a value has not been input. As a result, the business index approximate table 337 is created in the same manner as the business index total calculation table 204 (see FIG. 2) at the second time point. In addition, when acquiring the business index approximate value, if the same calculation result exists in the business index approximate table 337 for the business application, the uncontrollable condition approximate value, and the shared controllable condition approximate value, the values are reused. be able to.

When a negative determination result is obtained in the process 905, or when the process 907 is completed, the index estimation table addition unit 364 determines whether or not the next business application execution opportunity exists (process 908), and the process 908. Then, when the determination result that the next business application execution opportunity exists is obtained, the process returns to process 901, and when the determination result that the next business application execution opportunity does not exist is obtained in the process 908, then this routine is performed. End the processing in.

By the above processing, it is possible to create a business index approximate table 337 that enables comparison of the business index approximate values when the shared controllable condition approximate values are changed.

When the shared controllable condition approximate value derivation unit 344 shares the controllable condition approximate value of each of the first business application execution device 101 and the second business application execution device 102 within the second period, it is within the second period. The shared controllable condition approximate value that minimizes the sum of the index approximate values of the first business application execution device 101 and the second business application execution device 102 is searched for. The process will be described with reference to the flowchart of FIG.

First, the index estimation value total calculation unit 381 receives the business index estimation table 337 created in the second period from the index estimation table addition unit 364 of the business index estimation table creation unit 342, and then receives the business index estimation. As the sum of the estimated business index values shown in Table 337, the sum of the estimated index values is calculated for each row (process 1001).

Next, the shared controllable condition approximate value selection unit 382 compares the total index approximate values for each row calculated in the process 1001, and identifies and selects the minimum row ID from the comparison result (process 1002). That is, the shared controllable condition approximate value selection unit 382 uses the shared controllable condition that minimizes the total sum of the business index approximate values calculated by the index approximate value total calculation unit 381 from the candidates for each shared controllable condition approximate value. A candidate for the approximate value is selected as the approximate value for the shared controllable condition to be searched.

After that, the shared controllable condition approximate value selection unit 382 displays the shared controllable condition approximate value which is the same value as the selected row ID on the display device 315 or the first business application execution device 101 and the second business application execution device 102. (Process 1003), and then end the process in this routine. The estimated value of the shared controllable condition in the second period may be recorded in the storage device 314, and the period and the target business application execution device may be searchable as search conditions via the communication device 313 or the input device 316. ..

Here, the index approximate value total calculation unit 381 is based on the extraction results of the business index approximate value extraction unit (index approximate value search unit 363 and index approximate table addition unit 364), and for each execution opportunity of each business in each support target. It functions as a total sum calculation unit that calculates the sum of the approximate values of the business indicators of the above for each candidate of the shared controllable condition approximate value.

Through the above processing, the minimum value of the total sum of the business index approximate values in the second period and the controllable condition approximate value at that time can be obtained from the business index approximate table 337. By setting this value as the shared controllable condition value of the first business application execution device 101 and the second business application execution device 102 in the second period, the business index of the first and second business in the second period can be set. Can be reduced.

As in this embodiment, when creating the business index approximate table 337 to obtain the controllable condition approximate value that minimizes the sum of the business index approximate values in the second period, the appearance frequency of the uncontrollable condition values is equalized. According to the value rounding rule 334, the uncontrollable condition value 331 is set as the uncontrollable condition approximate value, and the amount of combination of the uncontrollable condition value 331 and the shared controllable condition value, which is the input for obtaining the business index approximate value, is reduced. Therefore, the estimated business index value (value calculated in the process 403) calculated in the first period can be reused without any shortage. As a result, the amount of calculation when creating the business index estimation table 337 in the second period can be reduced, and the shared control can be performed to minimize the business index estimation value in the first and second business applications within a limited time. The approximate value of the condition can be calculated.

In this embodiment, two tasks that share restrictions are targeted, but if the tasks are executed during a specific period, they can be applied to a plurality of tasks of three or more. In the case of 3 or more tasks, in the second period, the index approximate value search unit 363 inputs the uncontrollable condition approximate value at that time for each opportunity to execute each task, and the shared controllable condition approximate value. Can be calculated, and the candidate of the calculated shared controllable condition approximate value may be added to the business index approximate table 337 as the row ID. Since the column ID of the business index estimation table is a combination of the business application name and time, it is possible to express 3 or more jobs, and for each of the 3 or more jobs, the index approximate value in the condition approximate value candidate that can be shared and controlled for each execution opportunity. Can be derived, and the derived index approximate value can be added to the business index approximate table.

According to this embodiment, the uncontrollable condition value indicating the time series data in the power system is managed by the approximate value according to the value rounding rule, and the calculation for calculating the shared control condition approximate value shared by a plurality of support targets. Time can be reduced. That is, the shared controllable condition estimation that reduces the amount of calculation when creating the business index estimation table in the second period and minimizes the business index estimation value in the first and second business applications within a limited time. The value can be calculated, and the shared controllable condition value can be searched at high speed.

In this embodiment, when the predicted value of the uncontrollable condition value is received in the first embodiment, the value is rounded by using a value correction type rounding rule that considers the difference between the predicted value and the actual value accumulated in the past. An example of deriving an unconditional approximate value is shown. According to this embodiment, even when there is a discrepancy between the predicted value output by the uncontrollable condition predicted value generator and the actual value due to environmental changes, etc., the actual value becomes more actual than when the rounding rule is generated from the predicted value. It is possible to search for a shared controllable condition approximate value using a close uncontrollable condition approximate value.

FIG. 13 is a configuration diagram showing an example of the system business cooperation support device in this embodiment. The grid business cooperation support device that corrects the predicted value is a device in which the value correction rule generation unit 1311 is added to the grid business cooperation support device 301 of FIG. 3 in order to generate the correction type value rounding rule table 1401 shown in FIG. , The communication device 313 is connected to the uncontrollable condition predicted value generation device 1301 that generates the predicted value of the uncontrollable condition value. The value correction rule generation unit 1311 stores the uncontrollable condition predicted value accumulating unit 1321 for accumulating the predicted value of the uncontrollable condition value, and the uncontrollable condition actual value accumulating unit for accumulating the actual value of the uncontrollable condition value in association with the predicted value. 1322, it is composed of the predicted actual section mapping unit 1323 that generates a rule for correcting the predicted value to the actual value from the correspondence between the predicted value and the actual value interval.

FIG. 14 is a configuration diagram showing an example of a correction type value rounding rule table in the second embodiment. The corrected value rounding rule table 1401 is composed of a rounding value 1411, an actual maximum value 1412, an actual minimum value 1413, a predicted maximum value 1414, and a predicted minimum value 1415.

Hereinafter, the process for generating the information of the correction type value rounding rule table 1401 shown in FIG. 14 will be described with reference to the flowchart of FIG.

First, the uncontrollable condition predicted value storage unit 1321 specifies a specific period in the future, and stores the predicted value of the uncontrollable condition value generated by the uncontrollable condition predicted value generation device 1301 in the storage device 314 (process 1501). After that, the uncontrollable condition predicted value storage unit 1321 waits until a specific period in the future, and from the start to the end of the specific period, the uncontrollable condition value from the uncontrollable condition predicted value generator 1301 is transmitted via the communication device 313. It receives and stores in the storage device 314 (process 1502). After the end of the specific period, the uncontrollable condition predicted value storage unit 1321 reads the predicted value and the actual value of the uncontrollable condition value, and sets the sorted uncontrollable condition value 601 shown in FIG. 6 to the read predicted value. Generate (process 1503).

Next, the predicted actual section mapping unit 1323 sets a section in which the sorted uncontrollable condition value 601 is divided by an arbitrary number, and the section names such as the first section and the second section are in descending order of the predicted value. After that, the maximum value and the minimum value for each section of the predicted values are added to the columns of the predicted maximum value 1414 and the predicted minimum value 1415 in the corrected value rounding rule table 1401 shown in FIG. 14 (processing 1504). Process 1505).

Next, the predicted actual section mapping unit 1323 refers to the sorted uncontrollable condition value 601 in which an arbitrary section is set, and stores the actual value group corresponding to the predicted value group in the section obtained from the reference result. Collected from 314, the maximum value and the minimum value are extracted from the collected actual value group (process 1506). After performing this process in each section, the predicted actual section mapping unit 1323 puts the maximum value for each section extracted in the process 1506 in the columns of the actual maximum value 1412 and the actual minimum value 1413 in the correction type value rounding rule table 1401. And the minimum value is added (process 1507). In addition, after the second section, the prediction actual section association unit 1323 adds to the correction type value rounding rule table 1401 with the minimum value of the previous section as the maximum value.

Finally, the predicted actual interval mapping unit 1323 adds the intermediate value between the actual maximum value and the actual minimum value as a rounding value to the corrected value rounding rule table 1401 (processing 1508), and then ends the processing in this routine. To do. The intermediate value between the actual maximum value and the actual minimum value may be a value equidistant from the actual maximum value and the actual minimum value, may be an average value or a median value of the actual values of the corresponding section, or other methods. A value representing the actual value of the corresponding section may be extracted and used as the extracted value.

Here, the predicted actual section association unit 1323 is the predicted value of the uncontrollable condition value accumulated by the uncontrollable condition predicted value accumulating unit 1321 and the actual value of the uncontrollable condition value accumulated by the uncontrollable condition actual accumulating unit 1322. It functions as a prediction performance management unit that discretizes each of the above and manages the predicted value of the discretized uncontrollable condition value and the actual value of the uncontrollable condition value by dividing them into a plurality of groups according to each value. At this time, when the predictive performance management unit applies the value rounding rule 334 to the actual value of the uncontrollable condition value, the uncontrollable condition approximate value is the maximum value of the actual value of the uncontrollable condition value (actual maximum value 1412). The rounding value 1411 is corrected to a value that appears with an equal probability between and the minimum value (actual minimum value 1413).

According to this embodiment, even when there is a discrepancy between the predicted value and the actual value output by the uncontrollable condition predicted value generator due to environmental changes, etc., the actual value is more actual than when the rounding rule is generated from the predicted value. It is possible to search for a shared controllable condition approximate value using an uncontrollable condition approximate value close to the value.

In Example 1, when comparing a plurality of index approximate value totals using the business index approximate value table, the shared controllable condition approximate value is changed by an arbitrary fluctuation range in order to search for a condition in which the index approximate value total is smaller. The method of making it is conceivable. However, with this method, it has been possible to verify whether the appropriate fluctuation range of the shared controllable condition estimated value cannot be determined and whether the changed shared controllable condition estimated value is a value that can be executed in the first business application and the second business application. There are no challenges. Therefore, in the present embodiment, an example in which the value rounding rule is subdivided in order to derive a shared controllable condition approximate value closer to the shared controllable condition value that minimizes the sum of the index approximate values is shown.

According to this embodiment, even when searching for a shared controllable condition approximate value that makes the total index approximate value smaller, a shared controllable condition approximate value that has an appropriate fluctuation range and can be executed by the first business application and the second business application. Can be generated.

FIG. 16 is a configuration diagram showing an example of a system business cooperation support device that subdivides the value rounding rules in this embodiment. In order to generate the subdivided value rounding rule table 1701 shown in FIG. 17, the system business cooperation support device 301 that subdivides the value rounding rule adds the price rounding rule subdivision unit 1611 to the system business cooperation support device 301 of FIG. It is a device that has been used. The value rounding rule subdivision unit 1611 subdivides the value rounding rule 334 to verify the target rows where the total index value may be smaller from the business index approximate table 337. , The shared controllable condition of the target row Determines the controllable condition approximate value The input uncontrollable condition approximate value and its value The related rounding rule specifying part 1622 for specifying the rounding rule, Dividing the specified value rounding rule for subdivision It is composed of a value rounding rule dividing unit 1623.

FIG. 17 is a configuration diagram showing an example of a subdivision value rounding rule table in Example 3. The subdivision value rounding rule table 1701 is composed of a rounding value 1711, a maximum value 1712, and a minimum value 1713. In the subdivision value rounding rule table 1701, the third to fifth rows are subdivision groups, and the rounding value 1711 is divided into three subdivision groups 1714. That is, in contrast to the rounding value 711 (“5.5”) recorded in the value rounding rule table 701 of FIG. 7, in the subdivided value rounding rule table 1701, there are three rounding values 1711 (“6.5”, “6.5”). It is divided into "5.5" and "4.5").

Hereinafter, the process for generating the information in the subdivision value rounding rule table 1701 shown in FIG. 17 will be described with reference to the flowchart of FIG.

First, the index approximate value total verification unit 1621 of the value rounding rule subdivision unit 1611 reads the created business index approximate table 337 and calculates the total of the business index approximate values of each line based on the read information (process 1801). ). Next, the index approximate value total verification unit 1621 sets the row in which the total sum of the business index approximate values is the minimum and the row whose difference from the minimum sum is less than or equal to an arbitrary value from the calculation results as the subdivision target row. Select (Process 1802). After that, the index approximate value total verification unit 1621 sends the information of the subdivided target line to the related rounding rule specifying unit 1622.

Next, the related rounding rule specifying unit 1622, which has received the information of the subdivided target row, first identifies each subdivided target in order to identify the value rounding rule that affects the total sum of the business index approximate values of the subdivided target row. In the row, identify the cells that are the diagonal components of the business index estimation table 337 (process 1803), and then store the uncontrollable condition value at that time from the time included in the column name in which the specified cell exists. Based on the uncontrollable condition value taken out from the apparatus 314, the value rounding rule 334 applied to the uncontrollable condition value is specified from the value rounding rule table 701 (process 1804).

After that, the value rounding rule dividing unit 1623 subdivides the section indicated by the maximum value and the minimum value of the value rounding rule 334 specified in the process 1804 into an arbitrary number, and rounds the intermediate value of each section after the subdivision. As a result, the subdivision value rounding rule table 1701 is generated (process 1805), and then the process in this routine is terminated. The example shown in FIG. 17 shows an example in which the value rounding rule 334 in which the rounding value of the value rounding rule table 701 is 5.5 is divided into three parts.

Here, the index approximate value total verification unit 1621 refers to the business index approximate table 337, and in each row of the business index approximate table 337, the minimum row in which the total sum of each business index approximate value is the minimum, and the minimum row. It functions as a subdivision target row extraction unit that extracts any row whose difference is less than or equal to the set value for the sum of the approximate values of each business index as the subdivision target row. The related value rounding rule specifying unit 1622 specifies the rounding value belonging to the subdivided target row having the possibility that the sum of the business index approximate values is smaller among the subdivided target rows with reference to the business index approximate table 337. Functions as a rounding value identification part. The value rounding rule dividing unit 1623 divides the rounding values belonging to the subdivision target rows specified by the rounding value specifying unit into a plurality of rounding values for subdivision (“6.5”, “5.5”, “4.5”. ), And discretizes the uncontrollable condition value, and functions as a value rounding rule division unit that manages the discretized uncontrollable condition value by dividing it into a plurality of subdivision groups 1714 according to the value. .. At this time, the predicted value of the uncontrollable condition value of the plurality of subdivision rounding values (“6.5”, “5.5”, “4.5”) is any one of the plurality of subdivision groups 1714. When belonging to one subdivision group, the uncontrollable condition approximate value is set to a value that appears with equal probability between the maximum value 1712 and the minimum value 1713 of the predicted value of the uncontrollable condition value.

According to this embodiment, the shared controllable condition in which the sum of the index approximate values becomes smaller is the shared controllable condition that can be executed by the first business application and the second business application with an appropriate fluctuation range even when searching for the approximate value. It is possible to generate candidates for approximate values.

In this embodiment, in the first embodiment, by applying a specific value rounding rule to the uncontrollable condition value, the business index approximate table and the total index approximate value are calculated, and the candidates for the shared controllable condition approximate value are displayed on the screen. An example of outputting to is shown. According to this embodiment, when determining the shared controllable condition value, the candidate of the shared controllable condition approximate value and the sum of the index approximate values at that time can be compared. In addition, by simultaneously displaying the uncontrollable condition estimated value to which the value rounding rule is applied to the uncontrollable condition predicted value, the difference between the estimated value and the predicted value should be visualized and whether the value interval is comprehensively considered. Can be done. As a result, the time required for creating and verifying the value rounding rule for each business or updating and verifying the value rounding rule for each business execution period can be reduced, and the shared controllable condition value that reduces the total business index value is explored. The analysis time required for can be reduced.

FIG. 19 is a configuration diagram showing an example of a management screen that outputs a business index approximate table, an index approximate value sum, and a price rounding rule in this embodiment. The management screen 1900 is configured as a display screen of the display device 315 by the system business cooperation support device 301 sending various data to the display device 315 via the communication device 313. The upper part of the management screen 1900 is an area for displaying the business index approximate table and the total index approximate value. In this area, a period selection button 1901, 1902, an index estimation button 1903, a descending order button 1904, and a sort button 1905 are displayed. Further, in this area, a period is specified by the operation of the operator, and when the index estimation button 1903 is pressed, it is calculated based on the predicted value or the actual value of the uncontrollable condition value of the corresponding period and the value rounding rule. The information of the total index value 1906 and the business index approximate table 1907 is displayed. Each operator can select the line of interest, and when the operator selects the line of interest 1908 of the total index value 1906, it is the same as the total index value 1906 and the line of interest 1908 of the business index approximate table 1907. The line color changes. As a result, the operator can confirm the business index approximate value of each business included in the total index approximate value 1906.

In addition, each business may be executed a plurality of times during the designated period, and the total value when each business is executed a plurality of times is displayed in the business index estimation table 1907. In the business index estimation table 1907, the expansion button 1909 is installed in the column of each business index estimation value (business index approximate value after the first business index), and by pressing the expansion button 1909, the business index estimation for each execution is performed. You may display the value.

The lower part of the management screen 1900 includes a value rounding rule selection screen 1910 for calculating the index approximate value total 1906 and the business index approximate table 1907, and a price rounding rule editing screen 1911 for editing the price rounding rule. On the price rounding rule selection screen 1910, a plurality of price rounding rules can be selected. For example, on the value rounding rule selection screen 1910, information regarding the value frequency consideration type value rounding rule 1912 and the simple division value rounding rule 1913 is displayed as a plurality of value rounding rules. As information for selection, both the predicted value of the uncontrollable condition value (predicted value of the uncontrollable condition value) and the approximate value after applying the value rounding rule (approximate value of the uncontrollable condition value) are displayed. By presenting this information, it is possible to confirm the difference between the uncontrollable condition value and the approximate value, and select a value rounding rule with a smaller difference.

On the other hand, on the price rounding rule editing screen 1911, the price rounding rule displayed on the price rounding rule selection screen 1910 can be edited. On the value rounding rule editing screen 1911, one section or a plurality of sections to be edited can be selected. At this time, by pressing the split button 1915, it is possible to divide the selected section into a plurality of sections, and by pressing the merge button 1916, it is possible to merge into one section. Further, the rounding value of the value rounding rule can also be changed by pressing the rounding value change button 1917. From the above value rounding rule editing screen 1911, it is possible to confirm the difference between the uncontrollable condition value predicted value and the approximate value (uncontrollable condition approximate value) and create a value rounding rule having a smaller difference.

Here, the management screen 1900 functions as a display unit that displays at least the information recorded in the business index estimation table 337 on the screen. At this time, the display unit can display the total sum of the business index approximate values as the information in the business index approximate table 337 on the screen for each candidate of the shared controllable condition approximate value.

According to this embodiment, the information recorded in the business index approximate table 337 is displayed. Therefore, when determining the shared controllable condition value, the candidates for the shared controllable condition approximate value and the sum of the index approximate values at that time are selected. Can be compared.

The present invention is not limited to the above-described examples, and includes various modifications. For example, each of the above-described embodiments has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to those having all the described configurations. Further, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to add / delete / replace a part of the configuration of each embodiment with another configuration. In addition, each of the above configurations, functions, and the like may be realized by hardware, for example, by designing a part or all of them with an integrated circuit. Further, each of the above configurations, functions, and the like may be realized by software by the processor interpreting and executing a program that realizes each function. Information such as programs, tables, and files that realize each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

101 1st business application execution device, 102 2nd business application execution device, 301 system business cooperation support device, 311 memory, 312 CPU, 313 communication device, 314 storage device, 315 display device, 316 input device, 331 uncontrollable condition value 332 Controllable condition value, 333 Business index value, 334 Value rounding rule, 335 Uncontrollable condition approximate value, 336 Business index approximate value, 337 Business index rough table, 341 Value rounding rule definition part, 342 Business index rough table creation part 343 Business application optimization calculation unit, 344 Shared controllable condition approximate value derivation unit, 1301 Uncontrollable condition prediction value generator, 1311 Value correction rule generation unit, 1611 Value rounding rule subdivision unit, 1900 management screen

Claims (14)

A device that sends and receives information to and from each of the support targets, with a plurality of business execution devices that execute each process of a plurality of tasks in the system as support targets.
The uncontrollable condition value indicating the time series data of the system is input and discretized, and the discretized uncontrollable condition value is divided into a plurality of groups according to the value and managed, and each of the plurality of groups. A value rounding rule storage unit that stores a value rounding rule for managing the uncontrollable condition values belonging to each of the rounding values.
When each of the rounded values is transmitted to each of the support targets as a candidate for an uncontrollable condition approximate value, and information indicating an execution result for each of the tasks of the support target is received from each of the support targets, the received information is transmitted. Based on this, a plurality of business index approximate values indicating the minimum value of the business index of each business of the support target, and a shared constraint condition value of the support target when calculating each of the plurality of business index approximate values. A business execution unit that calculates a plurality of controllable condition approximate values and manages each of the plurality of controllable condition approximate values as a candidate for a shared controllable condition approximate value.
An uncontrollable condition approximation that belongs to any one of the plurality of groups by inputting the predicted value of the uncontrollable condition value and applying the value rounding rule to the input predicted value of the uncontrollable condition value. Uncontrollable condition approximate value calculation unit that calculates the value,
Based on the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculation unit, from the calculation results of the business execution unit, the business index approximate value for each execution opportunity of the business in each support target. And the business index approximate value extraction unit that extracts the candidates for the shared controllable condition approximate value corresponding to the business index approximate value, and
Based on the extraction result of the business index approximate value extraction unit, the total sum of the business index approximate values for each execution trigger of the business in each support target is calculated for each candidate of the shared controllable condition approximate value. Department and
From the candidates for the approximate values of the shared controllable conditions showing the calculation results of the total sum calculation unit, the candidates for the approximate values of the shared controllable conditions that minimize the total sum of the estimated values of the business indicators are searched for. A system business cooperation support device characterized by including a shared controllable condition approximate value selection unit for selecting as an approximate value. The system business alliance support device according to claim 1.
The business execution department
Information about the candidate for the uncontrollable condition approximate value, the calculated business index approximate value, and the candidate for each shared controllable condition approximate value, which are the rounding values stored in the value rounding rule storage unit. Record in the business index estimation table and
The business index approximate value extraction unit
The same as the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculation unit with reference to the business index approximate table based on the uncontrollable condition approximate value calculated by the uncontrollable condition approximate value calculation unit. When an uncontrollable condition approximate value exists, the minimum value of the business index approximate value corresponding to the same uncontrollable condition approximate value and the controllable condition approximate value that is a candidate for the shared controllable condition approximate value are used as the business index. A system business cooperation support device characterized by extracting from an approximate table. The system business alliance support device according to claim 2.
The business execution department
The same for each support target, provided that the same uncontrollable condition estimated value as the uncontrollable condition estimated value calculated by the uncontrollable condition estimated value calculation unit does not exist in the business index approximate value table. A system business cooperation support device characterized in that it requests transmission of information on the minimum value of the business index approximate value and the controllable condition approximate value when an uncontrollable condition approximate value is input. The system business alliance support device according to claim 1.
The rounding value is
When the value rounding rule is applied to the predicted value of the uncontrollable condition value, the uncontrollable condition approximate value appears with an equal probability between the maximum value and the minimum value of the predicted value of the uncontrollable condition value. A system business cooperation support device characterized by being defined in. The system business alliance support device according to claim 1.
An uncontrollable condition predicted value storage unit that collects and accumulates predicted values of the uncontrollable condition value,
An uncontrollable condition actual storage unit that collects and accumulates the actual value of the uncontrollable condition value,
The predicted value of the uncontrollable condition value accumulated by the uncontrollable condition predicted value accumulating unit and the actual value of the uncontrollable condition value accumulated by the uncontrollable condition actual result accumulating unit are discretized and discretized. Further provided with a prediction performance management unit that manages the predicted value of the uncontrollable condition value and the actual value of the uncontrollable condition value by dividing them into a plurality of groups according to each value.
The forecast performance management department
When the rounding value of the value rounding rule is applied to the actual value of the uncontrollable condition value and the value rounding rule is applied, the uncontrollable condition approximate value is the maximum value and the minimum value of the actual value of the uncontrollable condition value. A system business cooperation support device characterized by correcting values that appear with equal probability among values. The system business alliance support device according to claim 2.
With reference to the business index approximate table, the minimum row in which the sum of the calculated business index approximate values is the minimum among the rows of the business index approximate table, and the sum of the business index approximate values in the minimum row On the other hand, a subdivision target row extraction unit that extracts any row whose difference is less than or equal to the set value as a subdivision target row,
With reference to the business index estimation table, a rounding value specifying unit that specifies a rounding value belonging to the subdivided target row in which the sum of the business index estimated values may be smaller among the subdivided target rows.
The rounding value belonging to the subdivision target row specified by the rounding value specifying unit is divided into a plurality of rounding values for subdivision and managed, and the uncontrollable condition value is discretized and the discretized uncontrollable. Further provided with a value rounding rule division unit that manages condition values by dividing them into a plurality of subdivision groups according to the values.
The plurality of subdivision rounding values are
When the predicted value of the uncontrollable condition value belongs to any one of the plurality of subdivision groups, the uncontrollable condition approximate value is the maximum value of the predicted value of the uncontrollable condition value. A system business cooperation support device characterized in that it is set to a value that appears with an equal probability between the minimum values. The system business alliance support device according to claim 2.
Further provided with a display unit that displays at least the information recorded in the business index estimation table on the screen.
The display unit
A system business cooperation support device characterized in that the total sum of the business index approximate values calculated by the total sum calculation unit is displayed for each candidate of the shared controllable condition approximate value on the screen. This is a method of transmitting and receiving information to and from each of the support targets, each of which is a support target of a plurality of business execution devices that execute each process of a plurality of businesses in the system.
The uncontrollable condition value indicating the time series data of the system is input and discretized, and the discretized uncontrollable condition value is divided into a plurality of groups according to the value and managed, and each of the plurality of groups. A value rounding rule storage step for storing a value rounding rule for managing the uncontrollable condition values belonging to each in association with a rounding value, and
When each of the rounded values is transmitted to each of the support targets as a candidate for an uncontrollable condition approximate value, and information indicating an execution result for each of the tasks of the support target is received from each of the support targets, the received information is transmitted. Based on this, a plurality of business index approximate values indicating the minimum value of the business index of each business of the support target, and a shared constraint condition value of the support target when calculating each of the plurality of business index approximate values. A business execution step that calculates a plurality of controllable condition approximate values and manages each of the plurality of controllable condition approximate values as a candidate for a shared controllable condition approximate value.
An uncontrollable condition approximation that belongs to any one of the plurality of groups by inputting the predicted value of the uncontrollable condition value and applying the value rounding rule to the input predicted value of the uncontrollable condition value. Uncontrollable condition approximate value calculation step to calculate the value,
Based on the uncontrollable condition approximate value calculated in the uncontrollable condition approximate value calculation step, from the calculation results in the business execution step, the business index approximate for each execution opportunity of the business in each support target. A business index approximate value extraction step for extracting a value and a candidate for the shared controllable condition approximate value corresponding to the business index approximate value, and
Based on the extraction result in the business index approximate value extraction step, the total sum of the business index approximate values for each execution trigger of the business in each support target is calculated for each candidate of the shared controllable condition approximate value. Calculation steps and
From among the candidates for the estimated values of the shared controllable conditions showing the calculation results in the total sum calculation step, the candidates for the estimated values of the shared controllable conditions that minimize the total sum of the estimated values of the business indicators can be shared and controlled. A system business cooperation support method characterized by including a shared controllable condition approximate value selection step to be selected as a condition approximate value. The system business alliance support method according to claim 8.
In the business execution step,
Information about the candidate for the uncontrollable condition approximate value, the calculated business index approximate value, and the candidate for each shared controllable condition approximate value, which are the rounding values stored in the value rounding rule storage step. Record in the business index estimation table and
In the above-mentioned business index approximate value extraction step,
With reference to the business index approximate value based on the uncontrollable condition approximate value calculated in the uncontrollable condition approximate value calculation step, and the uncontrollable condition approximate value calculated in the uncontrollable condition approximate value calculation step. When the same uncontrollable condition approximate value exists, the minimum value of the business index approximate value corresponding to the same uncontrollable condition approximate value and the controllable condition approximate value that is a candidate for the shared controllable condition approximate value are described above. A system business cooperation support method characterized by extracting from a business index estimation table. The system business alliance support method according to claim 9.
In the business execution step,
The same for each support target, provided that the same uncontrollable condition approximate value as the uncontrollable condition approximate value calculated in the uncontrollable condition approximate value calculation step does not exist in the business index approximate value table. A system business cooperation support method comprising requesting transmission of information regarding the minimum value of the business index approximate value and the controllable condition approximate value when the uncontrollable condition approximate value of is input. The system business alliance support method according to claim 8.
The rounding value is
When the value rounding rule is applied to the predicted value of the uncontrollable condition value, the uncontrollable condition approximate value appears with an equal probability between the maximum value and the minimum value of the predicted value of the uncontrollable condition value. A system business cooperation support method characterized by being defined in. The system business alliance support method according to claim 8.
The uncontrollable condition predicted value accumulation step of collecting and accumulating the predicted value of the uncontrollable condition value, and
An uncontrollable condition actual accumulation step that collects and accumulates the actual value of the uncontrollable condition value, and
The predicted value of the uncontrollable condition value accumulated in the uncontrollable condition predicted value accumulating step and the actual value of the uncontrollable condition value accumulated in the uncontrollable condition actual result accumulating step are discretized and discretized. Further provided with a predicted performance management step of managing the predicted value of the uncontrollable condition value and the actual value of the uncontrollable condition value by dividing them into a plurality of groups according to each value.
In the forecast performance management step,
When the rounding value of the value rounding rule is applied to the actual value of the uncontrollable condition value and the value rounding rule is applied, the uncontrollable condition approximate value is the maximum value and the minimum value of the actual value of the uncontrollable condition value. A system business cooperation support method characterized by correcting values that appear with equal probability among values. The system business alliance support method according to claim 9.
With reference to the business index approximate table, the minimum row in which the sum of the calculated business index approximate values is the minimum among the rows of the business index approximate table, and the sum of the business index approximate values in the minimum row On the other hand, a subdivision target row extraction step that extracts any row whose difference is less than or equal to the set value as a subdivision target row,
With reference to the business index estimation table, a rounding value specifying step for specifying a rounding value belonging to a subdivision target row having a possibility that the sum of the business index approximate values is smaller among the subdivision target rows,
The rounding value belonging to the subdivision target row specified in the rounding value specifying step is managed by dividing it into a plurality of subdivision rounding values, and the uncontrollable condition value is discretized and the discretized uncontrollable. Further provided with a value rounding rule division step for managing the condition value by dividing it into a plurality of subdivision groups according to the value.
The plurality of subdivision rounding values are
When the predicted value of the uncontrollable condition value belongs to any one of the plurality of subdivision groups, the uncontrollable condition approximate value is the maximum value of the predicted value of the uncontrollable condition value. A system business cooperation support method characterized in that values that appear with equal probability among the minimum values are set. The system business alliance support method according to claim 9.
Further provided with a display step of displaying at least the information recorded in the business index estimation table on the screen.
In the display step,
A system business cooperation support method characterized in that the total sum of the business index approximate values calculated in the total sum calculation step is displayed for each candidate of the shared controllable condition approximate value on the screen.

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