JP2018182990A - Generator operation control device and generator operation control method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a generator operation control device capable of efficiently operating a generator while observing contracted electric power, and a generator operation control method. A generator operation control device according to an embodiment of the present invention includes a storage unit that stores actual information regarding load power, and a load power prediction unit that predicts a fluctuation pattern of load power based on the actual information. , The power purchase target determination unit that determines the power purchase target value indicating the target value of the power purchase power based on the load power fluctuation pattern predicted by the load power prediction unit, and the load power predicted by the load power prediction unit. The generator control unit controls the generator based on the comparison result between the fluctuation pattern of the above and the power purchase target value determined by the power purchase target determination unit. [Selection diagram] Fig. 1

Description

  The present invention relates to a generator operation control device and a generator operation control method.

  Large-scale equipment such as air conditioning in buildings such as factories consumes a large amount of power compared to home air conditioning. In such factories, a generator may be operated separately from purchased power in order to supply power consumption. By operating the generator, the power consumed by the entire building can be controlled so as not to exceed the contract power of the purchased power, and the increase of the light and heat expenses in the building can be suppressed. On the other hand, although operating the generator causes costs such as fuel cost, Patent Document 1 discloses a generator operation control method capable of operating the generator efficiently.

JP 2005-333773 A

Such large-scale equipment is operated, for example, in a necessary time zone such as working hours during the day, and is not operated at night, and is operated in such a manner that load power fluctuation (load fluctuation) becomes large in one day. There is a thing. FIG. 7 is a first diagram showing an example of the daily load fluctuation of the large equipment. FIG. 7 shows time on the horizontal axis and load power on the vertical axis. As shown in FIG. 7, the load power is high and in a high load state in a time zone in which the large equipment is operated (a time zone described as “operation” on the time axis). On the other hand, the load power is low and in a low load state in a time zone in which the large facility is on standby (a time zone described as "standby" on the time axis).
In a building where such load fluctuation is large, if the generator is operated regardless of the load fluctuation, a rating that outputs the upper limit of the amount of power that the generator can continuously generate during the high load state Although the generator can be operated by the output, the generator will be operated at an output lower than the rated output during the low load state. In addition, in a generator such as a diesel generator, if a state where the generator is operated at an output lower than the rated output continues, it may cause a failure of the generator. Further, in the generator, when the generator is operated at or near the rated output, the operation with the highest power generation efficiency is obtained. On the other hand, if the generator is operated at an output lower than the rated output, the efficiency of the power generation becomes poor, such as an increase in the amount of fuel consumption relative to the amount of power generation. Therefore, when operating the generator, it is desirable to operate the generator at or near the rated output.
For this reason, it is considered to set the target value (power purchase target value) of purchased power low so that the generator can be operated at or near the rated output even in the time zone where the load is low. However, since the power purchase target value is set to a constant value throughout the day, there is a possibility that the generator can not supply power for load fluctuation during a high load state. In addition, although it is conceivable to set the power purchase target value high so that the generator can be stopped in the time zone where the load is low, since the difference between the power purchase target value and the contracted power becomes small, Purchased power tends to exceed contract power. When the purchased power exceeds the contracted power, an additional charge such as a penalty is imposed on the payment charge determined in advance according to the contracted power.

  The present invention has been made in view of such circumstances, and an object thereof is a generator operation control device capable of efficiently operating a generator while observing contracted power, and a generator operation control method To provide.

  In order to solve the problems described above, a generator operation control device according to an embodiment of the present invention is a load that predicts a variation pattern of load power based on a storage unit that stores performance information on load power and the performance information. A power forecasting unit, a power purchase target determining unit for deciding a power purchase target value indicating a target value of purchased power based on a variation pattern of load power predicted by the load power forecasting unit, and the load power forecasting unit And a generator control unit configured to control a generator based on a comparison result between the predicted variation pattern of load power and the target power purchase value determined by the target purchase power determination unit.

  Further, according to the generator operation control method of one embodiment of the present invention, a load power control device including a storage unit storing performance information on load power predicts a fluctuation pattern of load power based on the performance information. A power forecasting step, a power purchase target determination step of deciding a power purchase target value indicating a target value of purchased power based on a variation pattern of load power predicted by the load power forecasting step, and the load power forecasting step And a generator control step of controlling a generator based on the comparison result between the variation pattern of the load power predicted by the step and the power purchase target value determined by the power purchase target determination step.

  As described above, according to the present invention, it is possible to provide a generator operation control device and a generator operation control method that can operate a generator efficiently while observing contract power.

It is a block diagram of operation control device 1 of an embodiment. It is a figure which shows an example of the fluctuation pattern of the load electric power which the driving | operation control apparatus 1 of embodiment estimated. It is a block diagram of the electricity purchase target determination part 14 of embodiment. It is 1st figure which shows an example of control of the generator 2 which the operation control apparatus 1 of embodiment performs. It is FIG. 2 which shows an example of control of the generator 2 which the operation control apparatus 1 of embodiment performs. It is a flow chart which shows a flow of processing which operation control system 1 of an embodiment performs. It is a figure which shows an example of the fluctuation | variation of the load electric power of large sized installation.

  Hereinafter, the present invention will be described through the embodiments of the invention, but the following embodiments do not limit the invention according to the claims. Moreover, not all combinations of features described in the embodiments are essential to the solution of the invention. In the drawings, the same or similar parts may be denoted by the same reference symbols and redundant description may be omitted. In addition, the shapes and sizes of elements in the drawings may be exaggerated for clearer explanation.

  Throughout the specification, when a certain part "includes", "have" or "includes" a certain constituent element, this does not exclude other constituent elements unless specifically stated otherwise. It means that the components of can be further included.

  Hereinafter, a generator operation control device (hereinafter simply referred to as “operation control device”) 1 of the embodiment will be described with reference to the drawings.

FIG. 1 is a block diagram of the operation control device 1. As shown in FIG. 1, the operation control device 1 includes a storage unit 10, a load power prediction unit 12, a power purchase target determination unit 14, and a generator control unit 16.
The storage unit 10 includes a performance information storage unit 100, a season information storage unit 101, a production information storage unit 102, and a power information storage unit 103.
The performance information storage unit 100 stores information (performance information) on past load power. The performance information storage unit 100 stores time-series changes (variation patterns) of load power in the past in a building such as a factory. The fluctuation pattern of the load power is, for example, a fluctuation pattern that indicates fluctuation of the load power of one day in units of one second. The fluctuation information of the load power is stored in the result information storage unit 100 together with the date of the day when the fluctuation pattern was detected.
The seasonal information storage unit 101 stores information (seasonal information) such as the past outside air temperature and humidity. The season information is stored in the season information storage unit 101 together with the date.
The production information storage unit 102 stores information (production information) such as the number of products produced in the factory in the past and the time when the facility has been operated. Production information is stored in the production information storage unit 102 together with the date.

The power information storage unit 103 stores information on power.
The power information storage unit 103 includes information (generator information) on the generator 2 as information on power. The generator information includes the rated output A of the generator 2 and the minimum load factor. The rated output A is the upper limit of the power that the generator 2 can continuously output. The lowest load factor is the ratio of the output power to the rated output A, and is the lower limit value of the load factors allowed for the generator 2. That is, when the generator 2 is operated in a state where the load factor is lower than the minimum load factor, the possibility that the generator 2 breaks down is increased. The minimum load factor may be recommended by the manufacturer who manufactured the generator 2, or may be a value uniquely set by the user within the range recommended by the manufacturer. In general, the minimum load factor allowed for a generator is 50 to 80%.
Further, the power information storage unit 103 includes, as information related to power, information on power purchase from the power company (power information). The power information includes the contract power and the power purchase target value Y. Contracted power is an upper limit of average power per fixed time in purchased power determined according to the user. The power purchase target value Y is a value indicating the upper limit of the purchased power set on a daily basis. The power purchase target value Y is set according to the variation pattern of the load power of the day. For example, the power purchase target value Y of a day on which load power is expected to be low throughout the day, such as a factory holiday, is set low. In addition, the power purchase target value Y of a day when load power is expected to be high throughout the day, such as a busy season of a factory, is set high. Further, the power purchase target value Y is set in a range not exceeding the contract power.
Since the power purchase target value Y is set according to the fluctuation pattern of the load power, the power information storage unit 103 stores a plurality of power purchase target values Y as candidates. For example, when the contracted power is 300 [kW], the power purchase target value Y (power purchase target values Y1, Y2, Y3, ...) is the power purchase target value Y1 = 300 [kW], and the power purchase target The value Y2 = 200 [kW], the power purchase target value Y3 = 100 [kW], and so on are stored in the power information storage unit 103.

  The load power prediction unit 12 predicts a variation pattern of load power based on the actual result information. Specifically, first, the load power prediction unit 12 acquires season information predicted on the next day (hereinafter referred to as predicted season information) and production information predicted on the next day (hereinafter referred to as production season information). The load power prediction unit 12 acquires predicted season information based on, for example, information such as a weather forecast and predicted temperature obtained via a network. In addition, the load power prediction unit 12 acquires, for example, production information input from a user or the like via an external input device such as a keyboard or a mouse (not shown) connected to the operation control device 1 as predicted production information.

Further, the load power prediction unit 12 refers to the season information storage unit 101 based on the predicted season information. Specifically, the load power prediction unit 12 obtains, from the season information stored in the season information storage unit 101, the date of the day corresponding to the season information that matches or is similar to the predicted season information.
Further, the load power prediction unit 12 refers to the production information storage unit 102 based on the predicted production information. Specifically, the load power prediction unit 12 acquires, from among the production information stored in the production information storage unit 102, the date of the day corresponding to the production information that matches or is similar to the predicted production information.

  Then, based on the date acquired from the season information storage unit 101 and the date acquired from the production information storage unit 102, the load power prediction unit 12 selects the next day from the actual performance information stored in the season information storage unit 101. The load power fluctuation pattern (predicted fluctuation pattern) to be predicted is acquired. For example, if there is a date common to the dates acquired respectively from the seasonal information storage unit 101 and the production information storage unit 102, the load power prediction unit 12 takes the variation pattern of the load power of the day corresponding to that date as the prediction variation pattern. Do. For example, if there is no date common to the acquired dates, the load power prediction unit 12 expands the similar range, and out of the season information stored in the season information storage unit 101, the season information similar to the predicted season information is extracted. Get the date of the corresponding day again. Similarly, with regard to the production information, the load power prediction unit 12 extends the similar range, and from among the production information stored in the production information storage unit 102, the date of the day corresponding to the production information having similar predicted production information. To get it again. Then, if there is a date common to the dates acquired from each of the season information storage unit 101 and the production information storage unit 102, the load power prediction unit 12 predicts the variation pattern of the load power of the day corresponding to that date I assume.

  Thus, the load power prediction unit 12 predicts the fluctuation pattern of the load power. In the above, the load power prediction unit 12 stores the past load power stored in the actual performance information storage unit 100 based on the date common to the dates acquired from the seasonal information storage unit 101 and the production information storage unit 102, respectively. The predicted fluctuation pattern is obtained from the fluctuation pattern of, but is not limited thereto. The load power prediction unit 12 may generate, for example, a prediction model obtained by machine learning each of the past variation patterns of load power and the date thereof, and the seasonal information and production information corresponding to the date by artificial intelligence. In this case, the load power prediction unit 12 outputs, as a prediction variation pattern of load power, a prediction pattern obtained by inputting prediction season information, prediction production information, and the like into the prediction model.

  Here, the predicted fluctuation pattern of load power predicted by the load power prediction unit 12 will be described with reference to FIG. FIG. 2 is a diagram showing an example of a variation pattern of load power predicted by the operation control device 1. The horizontal axis in FIG. 2 represents time, and the vertical axis represents load power. In the example of the predicted fluctuation pattern of the load power shown in FIG. 2, the load power increases from about 340 [kW] to around 400 [kW] from 8 o'clock to 9 o'clock. From 9 o'clock to half past 9 o'clock, the load power is maintained at a value of around 400 [kW] and almost no change occurs. At around 9:30, the load power decreases from 400 [kW] to around 340 [kW] and returns to the around 8:00 load power level, and thereafter it is between 340 [kW] to 350 [kW] until after 12 o'clock It changes and there is almost no change in load power. The load power becomes about 200 [kW] at about 13 o'clock, and the load power is about 200 [kW] as it is from 13 o'clock to 17 o'clock and there is almost no change.

  In the case of the forecast variation pattern of load power as shown in FIG. 2, for example, assuming that the power purchase target value is set to 100 [kW], the power for which the load power exceeds 100 [kW] is the generator 2 Supply from In this case, electric power of 240 [kW] to 300 [kW] is supplied from the generator 2 from 8 o'clock to 9 o'clock. Similarly, the load power is 300 [kW] from 9 o'clock to 9:30, and about 240 [kW] to 250 [kW] from 9:30 to 12 o'clock, 100 [kW] from 13 o'clock to 17 o'clock Power is supplied from the generator 2 respectively. If the rated output A of the generator 2 is 100 [kW], the power supply will be insufficient in the time zone from 8 o'clock to 12 o'clock. When the rated output A of the generator 2 is 300 [kW], the power can be supplied in the time zone from 8 o'clock to 12 o'clock, but the load factor C is from 13 o'clock to 17 o'clock, It will be one-third (about 33%) low load operation. On the other hand, if the power purchase target value is set to 450 [kW], it is possible to cover the supply of power by purchased power in all time zones, and it becomes unnecessary to operate the generator 2. For this reason, the operation control device 1 according to the present embodiment is able to purchase power properly so that the power generation target determination unit 14 can operate the generator 2 efficiently with respect to fluctuating power in the predicted fluctuation pattern of load power. Determine the target value. Then, the operation control device 1 controls the generator based on the comparison result of the determined power purchase target value and the predicted fluctuation pattern of the load power.

FIG. 3 is a block diagram of the power purchase target determination unit 14. As shown in FIG. 3, the power purchase target determination unit 14 includes a calculation unit 140 and a determination unit 141.
The calculation unit 140 calculates the average load power for every predetermined time (here, for every 30 minutes) based on the variation pattern of the load power predicted by the load power prediction unit 12. For example, as shown in the following equation (1), the calculating unit 140 averages the average value obtained by dividing the value obtained by adding all the data of the variation pattern of the load power corresponding to 30 minutes by the number of added data. The load power (average load power) X of is calculated. Here, N represents a natural number, and P (N) represents the Nth load power [kW] in the variation pattern of the predicted load power.

  X = 1 / N × {P (1) + P (2) +... + P (N)} [kW] (1)

Further, the calculation unit 140 sets a power purchase target value Y. Here, although a case where calculation unit 140 sets the power purchase target value Y stored in power information storage unit 103 will be described, the power purchase target value Y set here indicates power that does not exceed the contracted power. If it is a value, it may be any value.
The calculation unit 140 refers to the power information storage unit 103, and acquires one of the plurality of power purchase target values Y (here, the power purchase target value Y1).
The calculation unit 140 calculates the required output (generator output B) of the generator 2 with respect to the power purchase target value Y1. Specifically, the calculation unit 140 calculates the generator output B as shown in the following equation (2). Here, X represents the average load power [kW], and Y1 represents the target power purchase value [kW].

  B = X-Y 1 [kW] (2)

  The calculator 140 also calculates the load factor C of the calculated generator output B. Specifically, the calculation unit 140 calculates the load factor C as shown in the following equation (3). Here, B represents the generator output [kW], and A represents the rated output [kW] of the generator 2, respectively.

  C = B / A × 100 [%] (3)

The calculation unit 140 calculates the generator output B shown in the above equation (2) and the load factor C shown in the above equation (3) for all of the average load power X every 30 minutes obtained from the variation pattern of the load power. Do.
In addition, the calculation unit 140 sets a power purchase target value Y (for example, a power purchase target value Y2) different from the power purchase target value Y1, and the average load power X is similarly set for the power purchase target value Y2. The generator output B and the load factor C are calculated.

  The average load power X calculated by the calculation unit 140, the generator output B, and the load factor C will be described with reference to FIG. FIG. 4 is a first diagram showing an example of control of the generator 2 performed by the operation control device 1. FIG. 4 shows items of “time zone”, “average load power X [kW]”, and “necessary generator output B [kW], load factor C [%]” from the left. Further, in the item of “necessary generator output B [kW], load factor C [%]” in FIG. 4, “power purchase target value Y1 = 300 [kW]”, “power purchase target value Y2 = 200 [ There are respective items of “kW]” and “power purchase target value Y3 = 100 [kW]”.

  In the example shown in FIG. 4, the “time zone” indicates a time zone obtained by dividing the time zone from 8:00 to 16:59 every 30 minutes. The “average load power X [kW]” indicates the average load power for each of the time zones calculated by the calculation unit 140 based on the equation (1). The generator output when the target power purchase value is 300 kW for the target power purchase value Y1 = 300 kW for the required generator power B kW and the load factor C%. B and load factor C are shown respectively. Similarly, in the target power purchase value Y2 = 200 [kW], the generator output B and the load factor C are shown when the target power purchase value is 200 [kW]. Further, in the power purchase target value Y3 = 100 [kW], the generator output B and the load factor C are shown when the power purchase target value is 100 [kW]. That is, in the example illustrated in FIG. 4, the average load power is calculated by the calculation unit 140 every 30 minutes, and the power purchase target value is 300 [kW], 200 [kW], 100 for the calculated average load power. Each generator output B and load factor C in the case of [kW] are calculated. In the example shown in FIG. 4, the rated output A of the generator 2 is 200 [kW].

  In the example of FIG. 4, “average load power X [kW]” is a value between approximately 340 [kW] and 400 [kW] in each time zone from 8:00 to 12:29. In this case, when the power purchase target value is set to 300 [kW], the generator output B is approximately 40 [kW] to 100 [kW] in each time zone from 8:00 to 12:29. Between the values. The load factor C at this time is approximately 20% to 50% as shown in FIG. In addition, when the power purchase target value is set to 200 [kW], the generator output B is between about 140 [kW] and 200 [kW] in each time zone from 8:00 to 12:29. It becomes the value of. The load factor C at this time is approximately 70% to 100%. In addition, when the power purchase target value is set to 100 [kW], the generator output B is between about 240 [kW] and 200 [kW] in each time zone from 8:00 to 12:29. It becomes the value of. The load factor C at this time is about 120 [%] to 150 [%].

  Further, in the example of FIG. 4, “average load power X [kW]” is a value between about 180 [kW] and 200 [kW] in each time zone from 12:29 to 16:59. Become. In this case, when the power purchase target value is set to 300 kW, the generator output B is about -120 kW to -100 kW in each time zone from 12:29 to 16:59. It becomes a value between to]. That is, the generator output B has a negative value. This indicates that the average load power X is lower than the power purchase target value Y according to the equation (2). That is, when the generator output B has a negative value, the average load power X in the time zone can be covered by the purchased power which does not exceed the target purchase value Y. Therefore, in this case, there is no need to operate the generator 2. That is, it is not necessary to consider the load factor C which is a standard for operating the generator 2 efficiently. Therefore, when the generator output B has a negative value, the calculation unit 140 does not calculate the load factor C.

  In addition, when the power purchase target value is set to 200 [kW], the generator output B ranges from approximately -20 [kW] to 0 [kW] in each time zone from 12:29 to 16:59. The value between That is, since the generator output B is a negative value, the calculation unit 140 does not calculate the load factor C, as in the case where the power purchase target value is set to 300 [kW]. When the power purchase target value is set to 100 [kW], the generator output B is between about 85 [kW] and 100 [kW] in each time zone from 12:29 to 16:59. It becomes a value. The load factor C at this time is about 40% to 50% as shown in FIG.

  The determination unit 141 determines the power purchase target value Y based on the result calculated by the calculation unit 140. As described above, when the power purchase target value is set to 300 [kW], the load factor C is approximately 20 [%] to 50 [%] in each time zone from 8:00 to 12:29. . The minimum load factor of a typical generator is 50 to 80 [%]. From this, when the purchase target value is set to 300 [kW], the determination unit 141 determines that the load factor is too low. That is, when the power purchase target value is set to 300 [kW], the determination unit 141 determines that the generator 2 can not be operated efficiently because the load factor of the generator 2 is low. In this case, the determination unit 141 does not determine the power purchase target value Y to 300 [kW].

  In addition, when the power purchase target value is set to 100 [kW], the load factor C is approximately 120 [%] to 150 [%] in each time zone from 8:00 to 12:29. That is, the load factor C exceeds 100 [%]. This indicates that the power is insufficient even when the generator 2 is operated at the rated output A (= 200 [kW]). From this, when the power purchase target value is set to 100 [kW], the determination unit 141 determines that the power purchase target value can not be observed. In this case, the determination unit 141 does not determine the power purchase target value Y to 100 [kW].

  In addition, when the power purchase target value is set to 100 [kW], the load factor C is approximately 70 [%] to 100 [%] in each time zone from 8:00 to 12:29. The load factor C in this case is 70% at the lowest load factor C (minimum load factor) allowed for the generator 2, and is in the range of a general minimum load factor of 50 to 80 [%]. That is, when the generator 2 is operated, it can be operated efficiently. Further, the highest load factor C allowed for the generator 2 is about 100 [%], that is, the rated output A, and the load factor C does not exceed 100%. Therefore, the power supplied from the purchased power does not exceed the power purchase target value, and the power purchase target value is maintained. From this, when the power purchase target value is set to 200 [kW], the determination unit 141 determines that the generator 2 can be operated efficiently and that the power purchase target value can be maintained. In this case, the determination unit 141 determines the power purchase target value Y to be 200 kW.

  Thus, the power purchase target determination unit 14 calculates the average load power X every 30 minutes based on the variation pattern of the load power predicted by the load power prediction unit 12 by the calculation unit 140. Further, the power purchase target determination unit 14 sets power not exceeding the contracted power as the power purchase target value Y, and causes the generator 2 to output power obtained by subtracting the power purchase target value Y from the average load power X Assume output B. Then, when the load factor C in the case of causing the generator 2 to output the generator output B is appropriate, the power purchase target determination unit 14 predicts the set power purchase target value Y by the determination unit 141. It is determined as the power purchase target value Y for the fluctuation pattern of load power. Here, if the load factor C is proper, the load factor C of the generator 2 does not fall below the minimum load factor, and the generator output B does not exceed the rated output A of the generator 2 from the average load power X That's the case.

  Returning to FIG. 1, the generator control unit 16 generates a generator based on the variation pattern of the load power predicted by the load power prediction unit 12 and the comparison result with the power purchase target value Y determined by the power purchase target determination unit 14. Control 2 Specifically, the generator control unit 16 operates the generator 2 in a time zone in which the average load power X is equal to or more than the power purchase target value Y. Further, the generator control unit 16 stops the generator 2 in a time zone in which the average load power X is less than the power purchase target value Y. In the example of FIG. 4, the generator control unit 16 operates the generator 2 from 8 o'clock to 12:59 when the power purchase target value Y is determined to be 200 [kW]. Also, in this case, the generator control unit 16 stops the generator 2 from 13:00 to 16:59.

  Further, the generator control unit 16 determines a command value Z when operating the generator 2. Here, the command value Z is a value indicating the power to be output to the generator 2. For example, the generator control unit 16 sets the command value Z of the generator 2 to the rated output A (= 200 [kW]). Alternatively, the generator control unit 16 may change the command value Z of the generator 2 in accordance with the value of the generator output B in each time zone in a range that does not fall below the minimum load factor. In this case, the generator control unit 16 can flexibly set the power to be generated by the generator 2 according to the fluctuation of the load power in each time zone.

FIG. 5 is a second diagram showing an example of control of the generator 2 performed by the generator control unit 16. FIG. 5 shows an example of the case where the generator control unit 16 changes the command value Z of the generator 2 in each time zone. In the example of FIG. 5, the rated output A of the generator 2 is 200 [kW], and the minimum load factor is 70 [%]. That is, when operating the generator 2, the generator control unit 16 sets the command value Z of at least 140 (= 200 [kW] × 0.7) [kW].
In FIG. 5, there are respective items of "condition" and "command value Z of generator". “Condition” indicates the range of the generator output B. Moreover, the command value Z to the generator 2 which the generator control part 16 determines is shown in "command value Z of a generator."
In the example shown in FIG. 5, when the generator output B is 140 [kW] or less, the generator control unit 16 sets the command value Z to 140 [kW]. Further, when the generator output B is greater than 140 kW and not more than 150 kW, the generator control unit 16 sets the command value Z to 150 kW. That is, in the example shown in FIG. 5, the generator output B is classified into every 10 [kW] within the range of 140 [kW] to 200 [kW], and the range of the generator output B is The command value Z is determined in 10 [kW] steps.

Here, the flow of processing for controlling the operation of the generator 2 performed by the operation control device 1 will be described with reference to FIG. FIG. 6 is a flowchart showing the flow of processing performed by the operation control device 1.
First, as a premise of performing processing, the power information storage unit 103 of the storage unit 10 stores the rated output A of the generator 2, the minimum load factor, the contracted power, and the plurality of power purchase target values Y (power purchase target value Y1, It is assumed that Y2, ...) is stored.

The load power prediction unit 12 predicts the fluctuation pattern of the load power on the next day. The power purchase target determination unit 14 acquires the fluctuation pattern of the load power on the next day predicted by the load power prediction unit 12 (step S1). The calculation unit 140 of the power purchase target determination unit 14 calculates the average load power X by averaging the load power of each time in the acquired variation pattern of load power for each predetermined time (step S2). The calculation unit 140 first sets the power purchase target value to K [kW] (K is a natural number not exceeding the contracted power) (step S3). Then, the calculation unit 140 calculates the load factor C with respect to the power purchase target value YK (step S4). The determination unit 141 determines whether the load factor C calculated by the calculation unit 140 is 100% or less in all time zones (step S5).
If load factor C is 100% or less in all time zones (YES in step S5), determination unit 141 determines whether load factor C exceeds the minimum load factor in all time zones (step S5). S6). If the load factor C exceeds the minimum load factor in all time zones (YES in step S6), the determination unit 141 determines the power purchase target value as K [kW] (step S7).
When operating the generator 2, the generator control unit 16 determines the command value Z to the generator 2 based on the generator output B calculated for the determined power purchase target value Y (step S8). Then, the flowchart is ended.

On the other hand, when there is a time zone where load factor C exceeds 100% in step S5 (step S5, NO), determination unit 141 determines that the power purchase target value is larger than K [kW] (for example, K + 100 [kW ]) (Step S9), and the process returns to step S4.
In addition, in step S6, when there is a time zone where the load factor C is lower than the minimum load factor (step S6, NO), the determination unit 141 determines a power purchase target value smaller than K [kW] (for example, K- It sets to 100 [kW]) (Step S10), and returns to Step S4.

  As described above, in the operation control device 1 according to the present embodiment, the actual performance information storage unit 100 (an example of the “storage unit”) includes various load power fluctuation patterns (“performance information regarding load power”) in the past. One example is stored respectively. In addition, the load power prediction unit 12 predicts the fluctuation pattern of the load power of the next day based on the fluctuation pattern of the load power in the past. Further, the power purchase target determination unit 14 determines a power purchase target value Y, which is a target value of purchased power, based on the variation pattern of load power predicted by the load power prediction unit 12. Further, the generator control unit 16 compares the generator 2 with the variation pattern of the load power predicted by the load power prediction unit 12 and the power purchase target value Y determined by the power purchase target determination unit 14. Control.

  Thereby, the operation control apparatus 1 of this embodiment can operate the generator 2 efficiently. The operation control device 1 can determine the power purchase target value Y according to the predicted fluctuation pattern of the load power, and the operation control device 1 determines the predicted fluctuation pattern of the load power and the determined power purchase By comparing the target value Y, if the load power exceeds the power purchase target value Y, the generator 2 can be operated, and if the load power is less than the power purchase target value Y, the generator 2 can be stopped. Therefore, the operation control device 1 of the present embodiment can operate the generator 2 when necessary, and can stop the generator 2 when not necessary.

  Further, in the operation control device 1 of the present embodiment, the power purchase target determination unit 14 purchases power from the average load power X (an example of “load power based on the variation pattern of load power predicted by the load power prediction unit”). The generator output B is generated by the generator 2 when the electric power obtained by subtracting the target value Y1 (an example of “the electric power not exceeding the contracted electric power”) is the generator output B indicating the electric power to be output to the generator 2 When the load factor C of the generator 2 in the case does not fall below the minimum load factor and the generator output B does not exceed the rated output A of the generator 2, the power purchase target value Y1 is determined as the power purchase target value Y Do.

  Thereby, the operation control apparatus 1 of this embodiment can operate the generator 2 efficiently, after observing contract electric power. In the operation control device 1, the power purchase target determination unit 14 can calculate the generator output B which is the power obtained by subtracting the power purchase target value Y1 from the average load power X, and the power purchase target determination unit 14 The load factor C when the machine output B is output to the generator 2 can be calculated. The power purchase target determination unit 14 does not operate the generator 2 in a low load state where the load factor C is lower than the minimum load factor, and the necessary generator output B is the rated output A of the generator 2 The power purchase target value Y1 which does not exceed the above can be determined as the power purchase target value Y. That is, the operation control device 1 does not cause the generator 2 to operate at a low load, and an appropriate power purchase target value Y such that the power supplied from the purchased power does not exceed the power purchase target value Y. It is because it can decide.

  Further, in the operation control device 1 of the present embodiment, the power purchase target determination unit 14 every 30 minutes (an example of “every predetermined time”) based on the variation pattern of the load power predicted by the load power prediction unit 12. The generator control unit 16 calculates the average load power X (an example of “average power that is the average value of load powers”) of the average load power X calculated by the power purchase target determination unit 14 every 30 minutes, and The power purchase target value Y calculated by the power purchase target determination unit 14 is compared to determine whether to operate or stop the generator 2. Thereby, the transfer control device 1 of the present embodiment can control the operation of the generator 2 by performing a simple process of comparing two values (the average load power X and the power purchase target value Y). The generator 2 can be operated efficiently. In the operation control device 1, the average load power X can be calculated every 30 minutes, and the generator control unit 16 operates the generator 2 by comparing the average load power X with the power purchase target value Y. This is because it is possible to decide whether to turn on or off.

  Further, in the operation control device 1 of the present embodiment, the generator control unit 16 subtracts the power purchase target value Y determined by the power purchase target determination unit 14 from the average load power X when operating the generator 2. Based on the power, the command value Z for the generator 2 is determined. As a result, in the operation control device 1 of the present embodiment, not only can the generator 2 be operated efficiently, but also necessary power can be output from the generator 2. The operation control device 1 generates the generator 2 based on the power obtained by subtracting the power purchase target value Y determined by the power purchase target determination unit 14 from the average load power X, that is, the power required to be supplied by the generator 2. The command value Z can be determined.

In the present embodiment, the case where the calculation unit 140 calculates the power purchase target value Y when calculating the load factor C is sequentially calculated as 100 [kW], 200 [kW], and 300 [kW] has been described. That is, the search range of the power purchase target value Y is set to 100 [kW] to 300 [kW]. However, the search range of the power purchase target value Y is not limited to this. The search range of the power purchase target value Y may be any range from 0 [kW] to the contract power.
Further, in the present embodiment, the power purchase target value Y when the calculation unit 140 calculates the load factor C is a value (100 [kW], 200 [kW], 300 [K] increased or decreased by every 100 [kW]. The case where it calculates as kW] was demonstrated. That is, the division of the power purchase target value Y is set to 100 [kW]. However, the division of the power purchase target value Y is not limited to this. The division of the power purchase target value Y may be any value as long as the range from 0 [kW] to the contract power can be divided into a plurality of parts. For example, the division of the power purchase target value Y may be 10 [kW], 50 [kW], or 150 [kW].
Further, the search range and division of the power purchase target value Y may be set by the user. For example, the operation control device 1 causes the power information storage unit 103 to store a plurality of power purchase target values Y based on the search range selected by the user and the division. As a result, the operation control device 1 of the present embodiment can determine an appropriate power purchase target value Y from among the search range selected by the user and the plurality of power purchase target values Y in increments. Alternatively, the operation control device 1 causes the electric power information storage unit 103 to store the upper limit Ymax, the lower limit Ymin, and the division Yinc (Yinc is a positive value) of the power purchase target value Y. Then, the calculation unit 140 first calculates the load factor C for the power K [kW] between the upper limit Ymax and the lower limit Ymin of the power purchase target value Y, and the load factor C is 100 [%]. If the load factor C is less than the minimum load factor, the load factor C is calculated for the power K [kW] -Yinc [kW]. The rate C may be calculated. However, in this case, the calculation unit 140 calculates the load factor C when the electric power K [kW] + Yinc [kW] does not exceed the upper limit Ymax. In addition, the calculation unit 140 calculates the load factor C when the power K [kW] −Yinc [kW] does not fall below the lower limit Ymin.

  The whole or a part of the operation control device 1 in the embodiment described above may be realized by a computer. In that case, a program for realizing this function may be recorded in a computer readable recording medium, and the program recorded in the recording medium may be read and executed by a computer system. Here, the “computer system” includes an OS and hardware such as peripheral devices. The term "computer-readable recording medium" refers to a storage medium such as a flexible disk, a magneto-optical disk, a ROM, a portable medium such as a ROM or a CD-ROM, or a hard disk built in a computer system. Furthermore, “computer-readable recording medium” dynamically holds a program for a short time, like a communication line in the case of transmitting a program via a network such as the Internet or a communication line such as a telephone line. It may also include one that holds a program for a certain period of time, such as volatile memory in a computer system that becomes a server or a client in that case. Further, the program may be for realizing a part of the functions described above, or may be realized in combination with the program already recorded in the computer system. It may be realized using a programmable logic device such as an FPGA (Field Programmable Gate Array).

  The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and includes design and the like within the scope of the present invention.

  The execution order of each process such as operations, procedures, steps, and steps in the apparatuses, systems, programs, and methods shown in the claims, the specification, and the drawings is particularly “before”, “preceding” It is to be noted that “it is not explicitly stated as“ etc. ”and can be realized in an arbitrary order unless the output of the previous process is used in the later process. With regard to the operation flow in the claims, the specification, and the drawings, even if it is described using “first,” “next,” etc. for convenience, it means that it is essential to carry out in this order. It is not a thing.

DESCRIPTION OF SYMBOLS 1 ... Generator operation control apparatus, 2 ... Generator, 10 ... Storage part, 100 ... Performance information storage part, 101 ... Seasonal information storage part, 102 ... Production information storage part, 103 ... Power information storage part, 12 ... Load power Prediction unit, 14: electric power purchase target determination unit, 140: calculation unit, 141: determination unit, 16: generator control unit.

Claims (5)

A storage unit that stores performance information on load power;
A load power prediction unit that predicts a variation pattern of load power based on the performance information;
A power purchase target determination unit that determines a power purchase target value indicating a target value of purchased power based on a variation pattern of load power predicted by the load power prediction unit;
A generator control unit configured to control a generator based on a comparison result of a load power fluctuation pattern predicted by the load power prediction unit and a power purchase target value determined by the power purchase target determination unit;
A generator operation control device comprising: The power purchase target determination unit is a generator showing power for causing the generator to output power obtained by subtracting purchased power not exceeding the contracted power from load power based on the variation pattern of load power predicted by the load power prediction unit. When the generator output is generated by the generator when the generator output is generated, the load factor of the generator does not fall below the minimum load factor, and the generator output does not exceed the rated output of the generator , Determine the purchase power as the purchase target value,
The generator operation control device according to claim 1. The power purchase target determination unit calculates an average power, which is an average value of the load power for each predetermined time, based on a variation pattern of load power predicted by the load power prediction unit.
Whether the generator control unit operates or stops the generator by comparing the average power for each predetermined time calculated by the power purchase target determination unit with the power purchase target value calculated by the power purchase target determination unit To determine
The generator operation control device according to claim 1 or 2. The said generator control part determines the command value to a generator based on the electric power which deducted the electric power purchase target value which the said electric power purchase target determination part determined from the said average electric power, when making a generator operate.
The generator operation control device according to claim 3. A generator operation control device comprising a storage unit for storing performance information on load power,
A load power prediction step of predicting a variation pattern of load power based on the actual result information;
A power purchase target determination step of determining a power purchase target value indicating a target value of purchased power based on the load power fluctuation pattern predicted by the load power prediction step and the load factor of the generator;
A generator control step of controlling a generator based on the comparison result between the load power predicted by the load power prediction step and the power purchase target value determined by the power purchase target determination step;
And a generator operation control method.

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