JP5204522B2 - Demand control system and demand control method - Google Patents

Description

  The present invention relates to a demand control system and a demand control method for controlling electrical equipment so as to keep the integrated value of power consumption in a predetermined demand time period low.

  Conventionally, this type of demand control system has been used in order to keep electricity charges low in facilities such as stores (see, for example, Patent Documents 1 and 2). That is, in facilities such as stores, there is a demand contract method as a contract method with an electric power company. Under this contract method, the power consumption of the electrical equipment attached to the facility is integrated every predetermined demand period (for example, 30 minutes). A value (hereinafter referred to as a demand value) is calculated, and the electricity rate is determined based on the maximum value in the past year including the current month. Therefore, in order to keep the electricity bill low, it is effective to keep the demand value for each demand period low.

  The demand control system generally has an integrated value of power consumption from the start of the demand time period and the subsequent power consumption when an alarm lock time (for example, 15 to 20 minutes) elapses in a demand time period of 30 minutes. The demand value at the end of the demand period is estimated, and when it is determined that the estimated value exceeds the preset target value, the actual demand value at the end of the demand period is below the target value. In this way, control (demand control) is performed to suppress the output of electrical equipment such as an air conditioner.

By the way, since the demand control system performs the output control of the electric equipment only within the demand suppression possible time excluding the alarm lock time in the demand time period, the power control effect may not be so great. For example, in a facility where lighting equipment accounts for a large percentage of the power consumption of the entire store, such as a supermarket that mainly handles food, all air conditioning equipment is stopped at the start of demand-suppressed time Even if it is made, the demand value at the end of the demand time limit may exceed the target value. Therefore, the inventors have considered a demand control system that enables demand control by suppressing the output of the lighting device in order to cope with such a facility.
Japanese Patent Laid-Open No. 10-240360 JP-A-10-234133

  However, in performing demand control by output control of the lighting device, how to reduce the output of the lighting device becomes a problem. That is, when the output of the lighting device is sharply lowered, a person in the irradiation area of the lighting device may notice a change in illuminance and feel uncomfortable. In the example of the supermarket described above, customers often leave the store in about 30 to 60 minutes after entering the store. Therefore, for example, the output of the lighting device is reduced within a short time of 30 minutes or less (time in which demand can be suppressed). In this case, the customer may feel uncomfortable that the illuminance at the time of leaving the store is clearly lower than when entering the store. On the other hand, if the output of the lighting device is gently reduced, the output of the lighting device cannot be sufficiently reduced by the end of the demand time period, and as a result, the demand value is likely to exceed the target value at the end of the demand time period. .

  The present invention has been made in view of the above reasons, and a demand control system capable of avoiding a demand value from exceeding a target value at the end of a demand period, while making a change in output of a lighting device moderate. An object is to provide a demand control method.

The invention of claim 1 is used in a facility equipped with an electrical facility including a lighting device, and the demand value, which is an integrated value of the power consumption of the electrical facility for each predetermined demand time period, falls below a preset target value. In addition, a demand control system that performs demand control for controlling the output of electrical equipment based on the power consumption monitoring result, the demand value is the target value at the end of the demand time period beyond the control time set longer than the demand time period. A prediction means for predicting whether the demand value exceeds the target value according to the current power consumption and a predetermined determination rule, and when the demand value is determined to exceed the target value by the prediction means, the demand value at the end of the demand time limit is as below the target value, and the demand control means Ru lowers the output of the timed end point and the control time over from the previous to the control time illumination device over time Characterized in that it comprises.

According to this configuration, the prediction means predicts the demand value with demand time the end of control time than previously whether exceeds the target value, control means, based on the prediction result of the prediction means, Since the output of the lighting device is lowered with the passage of time over the control time so that the demand value at the end of the demand time period falls below the target value, the output of the lighting device is gradually increased over the control time longer than the demand time period. While changing, there is an advantage that the demand value exceeding the target value at the end of the demand time period can be avoided.

  According to a second aspect of the present invention, in the first aspect of the invention, the prediction means includes a storage means for storing a demand value, and the demand time point end point is obtained by comparing a past demand value with a current demand value. The determination rule for predicting whether or not the demand value exceeds the target value is applied.

  According to this configuration, since the prediction unit performs prediction based on the past demand value, for example, an internal device such as an outside air temperature sensor for acquiring a change tendency of the demand value is added without adding an external device. There is an advantage that the prediction can be performed only by processing, and the configuration can be simplified. Specific examples include predicting whether the demand value will exceed the target value in the afternoon of the same day based on the trend trend of demand value in the morning, or based on the trend trend of demand value for several days before the previous day. It is possible to predict the time when the demand value is maximum.

  The invention of claim 3 is the invention of claim 1 or claim 2, further comprising air conditioning control means for performing output control of an air conditioner for adjusting the temperature in the facility, wherein the air conditioning control means is the prediction means. When it is determined that the demand value exceeds the target value, the output of the air conditioner is reduced so that the demand value at the end of the demand time limit is reduced.

  According to this configuration, since the output control of the air conditioner is also possible, the power consumption can be further reduced as compared with the case where only the output control of the lighting device is performed. As a result, the target of the demand value at the end of the demand time limit The possibility of avoiding over-value increases. In addition, the air conditioning control means can start the output control of the air conditioner before the alarm lock time elapses based on the prediction result of the prediction means, and within the demand suppression possible time excluding the alarm lock time in the demand time period The demand value at the end of the demand time period can be reduced compared to the case where the output control of the air conditioner is performed only at.

  According to a fourth aspect of the present invention, in the invention of the third aspect, the prediction means reflects the increase / decrease in the power consumption of the air conditioner accompanying the increase / decrease in the number of persons in the facility in the demand value at the end of the demand time limit. As described above, the number of persons is used for the determination rule.

  According to this configuration, the predicting unit performs prediction based on the number of people in the facility. For example, when the air conditioner is used as a cooling unit, the temperature in the facility increases as the number of people increases. Since the load on the apparatus increases and the demand value easily exceeds the target value, it is possible to predict whether or not the demand value exceeds the target value in consideration of such circumstances.

  The invention of claim 5 is a target value that is used in a facility equipped with an electrical facility including a lighting device and an air conditioner, and a demand value that is an integrated value of power consumption of the electrical facility for each predetermined demand period is preset. Demand control system that performs demand control to control the output of electrical equipment based on the power consumption monitoring results so that the demand value at the end of the demand time period beyond the control time set longer than the demand time period Predicting whether or not the target value exceeds the target value according to the current power consumption and a predetermined determination rule, and when the prediction means determines that the demand value exceeds the target value, At least one of the lighting device and the air conditioner over the control time from before the control time at the end of the demand time period so that the demand value falls below the target value Control means for reducing the force, and priority judgment means for judging which output of the lighting device and the air conditioner is to be preferentially controlled based on a predetermined condition, and the control means outputs the output of the lighting device. When decreasing the output, the output of the lighting device is decreased with the passage of time over the control time.

According to this configuration, the predicting means predicts whether or not the demand value at the end of the demand time period beyond the control time exceeds the target value, and the control means determines the demand value based on the prediction result of the predicting means. Since the output of at least one of the lighting device and the air conditioner is reduced as time passes over the control time so that the demand value at the end of the time limit falls below the target value, the output of the lighting device is controlled to be longer than the demand time limit. There is an advantage that it is possible to avoid exceeding the target value of the demand value at the end of the demand time period while gradually changing over time.
According to a sixth aspect of the present invention, in the invention according to any one of the first to fifth aspects, the control means predicts that the demand value at the end of the demand time period beyond the control time exceeds the target value. When the output of the lighting device is reduced as determined by the means, the output of the lighting device is gradually reduced over the control time until the end of the demand time period.

The invention according to claim 7 is used in a facility equipped with an electrical facility including a lighting device, so that a demand value, which is an integrated value of power consumption of the electrical facility for each predetermined demand time period, falls below a preset target value. Is a demand control method for controlling the output of electrical equipment based on the result of monitoring power consumption, and whether the demand value exceeds the target value at the end of the demand time period beyond the control time set longer than the demand time period Whether or not the demand value exceeds the target value in the prediction process, and the demand value at the end of the demand time period falls below the target value. And a lighting control process for reducing the output of the lighting device as the time elapses from the control time before the end of the demand time limit to the control time. To.

  According to this configuration, in the prediction process, it is predicted whether the demand value at the end of the demand time period beyond the control time exceeds the target value, and in the lighting control process, based on the prediction result of the prediction process, Since the output of at least one of the lighting device and the air conditioner is reduced as time passes over the control time so that the demand value at the end of the demand time period falls below the target value, the output of the lighting device is longer than the demand time period. There is an advantage that it is possible to avoid the demand value exceeding the target value at the end of the demand time period, while gradually changing the control time.

The present invention is provided with a a prediction unit control means, while the change in the output of the lighting device and gentle, the advantage that demand value demand time period at the end can be prevented from exceeding the target value is there.

(Embodiment 1)
The demand control system of the present embodiment is mainly used in a supermarket (hereinafter referred to as a store) that handles foods, and as shown in FIG. 2, a lighting device 21 provided in the store (facility). And a controller (demand control device) 10 connected to various electric facilities such as an air conditioner 22 and a freezer / refrigerator 23. Furthermore, the controller 10 is connected to a watt hour meter 20 provided on the power line Lp for measuring the power consumption of the various electric facilities described above. The power consumption measured by the watt hour meter 20 is monitored by the controller 10. It is configured to be able to.

  Here, the store where the demand control system is used calculates an integrated value of power consumption (hereinafter referred to as a demand value) for each predetermined demand period (here, 30 minutes) as a contract method with an electric power company, It is assumed that a demand contract method is adopted in which the electricity rate is determined based on the maximum value in the past one year including this month among the demand values. In this store, since there is the freezer / refrigerator 23, the power consumption of the air conditioner 22 hardly increases even in the summer, and the proportion of the lighting device 21 in the power consumption of the entire store increases.

  Therefore, the demand control system according to the present embodiment outputs the output of the lighting device 21 so that the demand value does not exceed a preset target value (hereinafter also referred to as contracted electric energy) in order to keep the electricity charge of the store low. To control. Specifically, in the 30-minute demand period, the alarm lock time of a predetermined length (in this case 20 minutes) from the start of the demand period and the demand suppression from the elapse of the alarm lock period until the end of the demand period The possible time (here, 10 minutes) is set, and the controller 10 determines whether or not to control the output of the lighting device 21 when the alarm lock time elapses for each demand period.

  That is, the controller 10 consumes the signal receiving unit 11 that receives the output signal of the watt hour meter, the control output unit 12 that outputs the control signal for controlling the output of the lighting device 21, and the output of the watt hour meter 20. A power calculation unit 13 that calculates an integrated value of power, a timer unit 14, a demand prediction unit 15 that determines whether or not to perform output control of the lighting device 21, and a control output unit according to the output of the demand prediction unit 15 And a control unit 16 for controlling 12. The power calculation unit 13 includes an instantaneous power calculation unit 13a that calculates an instantaneous value of power consumption, and an integrated power calculation unit 13b that calculates an integrated value of power consumption.

  The demand prediction unit 15 includes a short-term demand prediction unit 15a that estimates a demand value at an end point of the demand time period (that is, after the elapse of the demand suppression time) as an estimated demand value, and a long-term demand to be described later. And a prediction unit 15b. Here, the estimated demand value is calculated based on the integrated value of actual power consumption from the start of the demand time period at the time of alarm locking and the amount of power estimated to be consumed by the end of the demand time period.

  The controller 10 determines whether the short-term demand prediction unit 15a may exceed the target value with respect to the estimated demand value calculated as described above. In the present embodiment, the safety factor α ( When the estimated demand value is compared with a value obtained by multiplying <1) (hereinafter referred to as the first threshold) and the estimated demand value is larger than the first threshold, the estimated demand value may exceed the target value Therefore, the control unit 16 performs demand control for reducing the light output of the lighting device 21. Here, the control signal output from the control output unit 12 is a dimming signal for dimming the lighting device 21, and the output control of the lighting device 21 decreases the dimming ratio of the lighting device 21 over time. For example, by reducing the dimming ratio by 1% every predetermined time from the state where the dimming ratio is 100% (full lighting), for example, an appropriately set evacuation output (for example, dimming) The light output of the illumination device 21 is reduced to a ratio of 40%). Here, the save output is appropriately calculated for each demand control in accordance with the magnitude of the estimated demand value so that the demand value at the end of the demand time period is lower than the target value. Thereby, compared with the case where demand control is not performed, the power consumption of the illuminating device 21 within the demand-suppressable time becomes lower. As a result, the demand value at the end of the actual demand time period becomes lower and the demand value becomes smaller. It is possible to avoid exceeding the target value.

  By the way, in the demand control (hereinafter referred to as short-term demand control) in which the output control of the lighting device 21 is performed only within the demand suppression time as described above, the light output of the lighting device 21 is within the demand suppression time of 10 minutes. Since the dimming ratio is reduced from 100% to the evacuation output, a person in the store may notice a change in illuminance and feel uncomfortable.

  In short, in a store as assumed in the present embodiment, a customer often leaves the store in about 30 to 60 minutes after entering the store, and therefore the lighting device 21 within a short time of 10 minutes as described above. If the light output is reduced to the evacuation output, the customer may feel uncomfortable with the difference in illuminance between entering the store and leaving the store. Therefore, in the demand control system of the present embodiment, not only the above-described short-term demand control but also long-term demand control in which the light output of the lighting device 21 is dimmed to the retracted output in a longer span.

  The long-term demand control will be specifically described. In the controller 10, a control time longer than the demand time limit (here, 60 minutes) is set in advance. This control time may be changed by a setting operation of the controller 10. Then, the controller 10 provides a function as a predicting means for predicting, by a method described later, whether the demand value at the end of the demand period beyond the control time exceeds the target value at the end of the demand period. It is provided in the prediction unit 15b. Here, it is assumed that whether the demand value 60 minutes ahead (that is, the end time of the next demand time period) exceeds the target value at the end time of the demand time period. Hereinafter, the current demand time period is referred to as the current demand time period, and the demand time period (in this case, the demand time period after the current demand time period) that is a target of prediction whether the demand value exceeds the target value is referred to as the predicted demand time period.

Controller 10, when the demand value at the end of the predicted demand time is determined as exceeding the target value, the predicted demand time of initiation to that control means an output control of the lighting device 21 from the control time before the end time Is provided in the control unit 16. The output control of the illuminating device 21 is performed by lowering the dimming ratio of the illuminating device 21 over time. For example, the dimming ratio is increased by 1% every predetermined time from the state where the dimming ratio is 100% (all lighting). By reducing, the light output of the illuminating device 21 is reduced to the appropriately set evacuation output at the end of the predicted demand time period. Thereby, it is possible to avoid that the power consumption of the lighting device 21 in the predicted demand time period is reduced, the demand value at the end of the actual predicted demand time period is lowered, and the demand value exceeds the target value.

  Here, the flowchart of FIG. 3 shows the operation of the controller 10 regarding the long-term demand control. That is, when the long-term demand control is started, the controller 10 determines the evacuation output according to the demand value at the end of the predicted demand time limit being lower than the target value (S1), and starts the output control of the lighting device 21 (S2). ). At this time, the reduction rate of the light output per unit time is determined so that the light output of the lighting device 21 becomes the retracted output at the end of the predicted demand time period, and the light output of the lighting device 21 is changed with time with this reduction rate. Reduce (S3).

  Then, when the control time elapses (that is, the predicted demand time period ends) (S4: Yes), it is determined whether or not to cancel the output control of the lighting device 21 (S5). Here, even if the output control of the lighting device 21 is canceled in step S5, it is determined whether or not the demand value does not exceed the target value in the next and subsequent demand time periods of the predicted demand time period. The output control of the lighting device 21 is released (S6), and when it is determined that the output is exceeded, the light output of the lighting device 21 is maintained at the retracted output. When canceling the output control of the lighting device 21, it is desirable to increase the light output with the passage of time so that a person in the store does not notice the change in illuminance.

  In the present embodiment, prediction as to whether or not the demand value of the predicted demand time limit exceeds the target value is performed according to the current power consumption (demand value of the current demand time limit) and a predetermined determination rule. The judgment rule applied here calculates the demand value in the predicted demand time period as the predicted value, and when the predicted value is likely to exceed the target value, the demand value in the predicted demand time period exceeds the target value. It is to be predicted. The predicted value is calculated by constructing an autoregressive model such as a moving average model or an ARIMA model (autoregressive integrated moving average model) for the demand value using a history of past demand values as a parameter. In short, for example, as shown in FIG. 4, if the demand value calculated during the day including the current demand time period is used, the demand value (predicted value) of the predicted demand time period can be predicted based on the change tendency of the demand value. . The controller 10 determines the possibility that the calculated predicted value will exceed the target value. Similar to the short-term demand control, the controller 10 multiplies the target value by the safety factor α (first threshold value) and the predicted value. If the predicted value is greater than the first threshold, it is determined that the demand value is likely to exceed the target value at the end of the predicted demand time period, and the light output of the lighting device 21 is reduced. Start long-term demand control.

  The operation of the demand control system of the present embodiment described above will be described with reference to the flowchart of FIG. FIG. 5 shows a processing flow for one day (24 hours).

  The controller 10 starts a demand time period and measures power consumption (S11). When the alarm lock time (20 minutes in this case) elapses during the demand period (S12: Yes), the integrated value of power consumption at that time is calculated (S13), and the power consumption until the end of the current demand period is estimated. Thus, the power consumption integrated value (demand value) at the end of the current demand time period is calculated as the estimated demand value (S14). Then, the magnitude relationship between the calculated estimated demand value and the first threshold value (a value obtained by multiplying the contract power amount by the safety factor α) is compared (S15). If the estimated demand value is larger, the short-term demand control described above is performed. (S16).

  On the other hand, if the estimated demand value is smaller than the first threshold value, the demand value is the first at the end time of the next demand time period (predicted demand time period) at the end time of the current demand time period after the demand suppression possible time has elapsed (S17: Yes). The process proceeds to a prediction process (S18 to S22) for predicting whether or not the threshold value 1 is exceeded.

  When shifting to the prediction process, first, the demand value of the current demand time period obtained by actually accumulating the power consumption is stored in the memory (storage means) (S18), and the demand value using the past demand value including the demand value is stored. A value autoregressive model is constructed (S19). Then, a predicted value that is a demand value of the predicted demand time period is calculated using an autoregressive model (S20), and the magnitude relationship between the predicted value and the first threshold value is compared (S21). At this time, if it is determined that the predicted value is larger than the first threshold, the above-described long-term demand control is started (S22).

  Thereafter, until the end of the day (S23), the processes of steps S11 to S22 described above are repeated for the next demand time period (S24).

  Next, a specific example of long-term demand control using the above-described demand control system will be described with reference to FIG.

  FIG. 1A is a plot of integrated values of power consumption for each demand time period monitored by the controller 10 at intervals of 5 minutes, and FIG. 1B corresponds to FIG. The instantaneous values of power consumption are plotted at intervals of 5 minutes. In FIG. 1B, P1 indicates the power consumption of the lighting device 21, P2 indicates the power consumption of the air conditioner 22, P3 indicates the total value of P1 and P2, and the power consumption P1 includes the lighting. In addition to the device 21, it is assumed to include base power that is power consumption of the refrigeration and refrigerating device 23 or the like that is regarded as substantially constant. In addition, the broken line in FIG. 1 shows data when the demand control system is not used, that is, when demand control is not performed.

  In this example, the controller 10 at the end time of the demand time period from 12: 0 to 12:30 (12:30), the end time point of the demand time period from 13:00:00 to 13:30 (13:30) that becomes the predicted demand time period. ) Predicts that the demand value will exceed the target value. Then, long-term demand control is performed to gradually reduce the light output of the lighting device 21 over a control time (60 minutes) of 12:30 to 13:30. As a result, the demand value of the predicted demand time limit (the integrated value of the power consumption at 13:30) is suppressed to be equal to or lower than the first threshold value and is below the target value. If the output control of the lighting device 21 is canceled at the time of 13:30, it is predicted that the demand value will exceed the target value in the demand time period from 13:30 to 14:00. The light output of the device 21 is maintained at the retracted output.

  According to the demand control system having the configuration described above, if the demand value is predicted to exceed the target value at the end of the predicted demand time period ahead of the control time, the predicted demand time period ends before the start of the predicted demand time period. Since the light output of the illuminating device 21 can be reduced over time over the control time up to the time point, the light output of the illuminating device 21 is gradually reduced so that the person in the store does not feel the change in illuminance. While decreasing, it is possible to avoid the demand value from exceeding the target value by dropping the light output of the lighting device 21 to the retracted output at the end of the predicted demand period, which is the end of the control time. In short, since the light output of the lighting device 21 is reduced to the evacuation output over a control time, the control time is at least 30 minutes (preferably 60 minutes) in a store as assumed in this embodiment. By setting to, it becomes difficult for customers to notice the difference in illuminance when entering and leaving the store.

  Although the demand value of the predicted demand time period is predicted not to exceed the target value at the end of the current demand time period, the demand value is likely to exceed the target value in the actual predicted demand time period against the prediction. In this case, in the demand control system of this embodiment, it is possible to suppress the demand value below the target value at the end of the predicted demand time period by starting the short-term demand control from the time when the alarm lock time of the predicted demand time period has elapsed. .

  In addition, as another example of the present embodiment, the demand values for several days before the previous day are stored in the memory for each demand time period, and the demand values for several days before the previous day are used for the predicted demand time period of the current day. A demand value (predicted value) may be calculated. The predicted value is calculated, for example, by taking a moving average using data for the past several days. In this case, the demand control system operates according to the flowchart shown in FIG. 6 in which the prediction process is different from FIG. In FIG. 6, when the process shifts to the prediction process, data for the past several days is first read (S19 '), and a predicted value that is a demand value of the predicted demand time limit is calculated using these data (S20'). If it is determined that the predicted value is larger than the first threshold (S21: Yes), long-term demand control is started (S22).

  Thereafter, the demand value of the current demand time limit is stored in the memory (S18 '). The demand value stored at this time is the demand value of the current demand time period (actual result obtained by accumulating the power consumption when the demand control (short-term demand control or long-term demand control) is not performed in the current demand time period. If the demand control is performed in the current demand time period, the power consumption for the suppression by the demand control is added to the demand value in the current demand time period obtained by actually accumulating the power consumption. Demand value (estimated value).

  Thus, by using the past demand value for calculation of the predicted value, for example, the predicted value of the current day can be calculated in consideration of the fluctuation of the demand value depending on the day of the week. That is, when the demand value tends to be higher on Sunday, if the current day is Sunday, the predicted value can be predicted higher, and as a result, the probability that the demand value exceeds the target value is increased.

  In the present embodiment, the target value excess at the end of the next demand time period (predicted demand time period) is predicted at the end of each demand time period. However, the present invention is not limited to this example. The target value excess at the end of the next demand period may be predicted every minute. In this case, even if the target value excess in the predicted demand time period is predicted in the middle of the current demand time period, the long-term demand control is performed after waiting for the current demand time period end time, which is before the control time of the predicted demand time period end time. It is desirable to have a configuration that starts.

  Further, the save output is not limited to be determined each time demand control is performed, but may be predetermined as a predetermined value together with the control time. Note that the evacuation output may be a dimming ratio of 0%, that is, an extinguished state.

(Embodiment 2)
The demand control system according to the present embodiment is different from the demand control system according to the first embodiment in a method for determining whether or not the demand value of the predicted demand time limit exceeds the target value.

  In the present embodiment, the number of times the demand value calculated during the day including the current demand time limit exceeds a predetermined second threshold (danger count) is counted, and the predicted demand time period is determined according to the number of danger counts. A determination rule for determining whether or not the demand value exceeds the target value is applied. Here, the second threshold value is a value obtained by multiplying the target value by the safety factor β (<α), and is a threshold value lower than the first threshold value. In short, as shown in FIG. 7, by counting the number of times the demand value calculated during the day including the current demand time limit does not reach the first threshold but exceeds the second threshold, Exceeding the target value of the demand value in the predicted demand can be predicted based on the change tendency. That is, the value of the danger count is the number of times the demand value exceeds the second threshold value during the day, in other words, the demand value during the day that exists in the area between the second threshold value and the first threshold value in FIG. It corresponds to the number of. When the danger count exceeds the predetermined number M, the controller 10 determines that the demand value is likely to exceed the target value at the end of the predicted demand time period, and reduces the light output of the lighting device 21 for a long-term demand. Start control.

  The operation of the demand control system of the present embodiment described above will be described with reference to the flowchart of FIG. FIG. 8 shows a processing flow for one day (24 hours).

  The controller 10 first sets the danger count to “0” (S30). The subsequent processes of S31 to S37 are the same as S11 to S17 of FIG. 5 described in the first embodiment.

  When the process proceeds to the prediction process, first, the demand value of the current demand time period obtained by actually integrating the power consumption is stored in the memory (storage means) (S38), and the demand value and the second threshold value (safe for contract power consumption). The magnitude relation with the value multiplied by the rate β is compared (S39). At this time, if it is determined that the demand value is larger, the danger count value is increased by “1” (S40), and the increased danger count value is compared with a predetermined number M (for example, M = 2). (S41). At this time, if the danger count exceeds the predetermined number M, the above-described long-term demand control is started (S42), and the danger count is reset to “0” (S43).

  Thereafter, until the end of the day (S44), the above-described processing of steps S31 to S43 is repeated for the demand time period after the next time (S23).

  In the flowchart shown in FIG. 8, attention is paid to the excess number (danger count) with the latest demand value as a reference value. However, the demand value increase / decrease amount data is stored in the memory, and the demand value is calculated from this data. It is also possible to improve the prediction accuracy by determining the increase / decrease tendency of the above and combining this tendency with the above-mentioned excess number.

  According to the above configuration, it is possible to predict whether or not the demand value of the predicted demand time limit exceeds the target value by a simple process without requiring a complicated calculation process. Can be simplified and the processing speed can be increased.

  Other configurations and functions are the same as those of the first embodiment.

(Embodiment 3)
The demand control system according to the present embodiment is different from the demand control system according to the first embodiment in that not only the lighting device 21 but also the air conditioner 22 are subjected to short-term demand control and long-term demand control.

  Hereinafter, a specific example of long-term demand control using the demand control system of the present embodiment will be described with reference to FIG.

  FIG. 9A is a plot of integrated power consumption values for each demand time period monitored by the controller 10 at 5-minute intervals, and FIG. 9B corresponds to FIG. 9A. The instantaneous values of power consumption are plotted at intervals of 5 minutes. In FIG. 9B, P1 represents the power consumption of the lighting device 21, P2 represents the power consumption of the air conditioner 22, P3 represents the total value of P1 and P2, and the power consumption P1 includes lighting. In addition to the device 21, it is assumed to include base power that is power consumption of the refrigeration and refrigerating device 23 or the like that is regarded as substantially constant. Note that the broken lines in FIG. 9 indicate data when the demand control system is not used, that is, when demand control is not performed.

  In this example, the controller 10 at the end time of the demand time period from 12: 0 to 12:30 (12:30), the end time point of the demand time period from 13:00:00 to 13:30 (13:30) that becomes the predicted demand time period. ) Predicts that the demand value will exceed the target value. Then, over the control time (60 minutes) of 12:30 to 13:30, each of the lighting device 21 and the air conditioning device 22 is decreased by gradually decreasing the light output of the lighting device 21 and lowering the output of the air conditioning device 22. Long-term demand control to reduce power consumption. As a result, the demand value of the predicted demand time limit (the integrated value of the power consumption at 13:30) is suppressed to be equal to or lower than the first threshold value and is below the target value. If the output control of the lighting device 21 and the air conditioner 22 is canceled at 13:30, the demand value is predicted to exceed the target value in the demand time period from 13:30 to 14:00. Even after 30, the light output of the lighting device 21 is maintained at the retracted output and the output control of the air conditioner 22 is continued.

  According to this configuration, the power consumption can be greatly reduced as compared with the case where only the lighting device 21 is the target of demand control, and there is an advantage that the probability of avoiding the demand value exceeding the target value is increased.

  By the way, since the load of the air conditioner 22 changes depending on the number of people in the store, the number of people in the store is used as a parameter of the determination rule for judging whether or not the demand value of the predicted demand time limit exceeds the target value. You may do it. That is, when the air conditioner 22 is used for cooling, as the number of people in the store increases, the temperature in the store increases, the load on the air conditioner 22 increases, and the demand value tends to exceed the target value. Therefore, for example, it is conceivable to install a device for measuring the number of customers in the store at the store entrance and start long-term demand control according to the number of customers. In this configuration, as shown in FIG. 10, the number of customers is measured for each demand time period (S51), and when the number of customers and the rate of increase in the number of customers per unit time exceed a reference value (S52), the demand value is targeted in the predicted demand time period. It is determined that there is a high possibility that the value will be exceeded (S53), and long-term demand control is started (S54).

  Other configurations and functions are the same as those of the first embodiment.

(Embodiment 4)
The demand control system of the present embodiment functions as a priority determination unit that determines which output control of the lighting device 21 or the air conditioner 22 is preferentially performed at the start of short-term demand control or long-term demand control. Is different from the demand control system of the third embodiment in that output control can be preferentially performed for either one of the lighting device 21 and the air conditioning device 22.

  That is, when the output of the air conditioner 22 is lowered, if the person in the store feels uncomfortable (hot or cold), the output of the lighting device 21 is preferentially reduced over the air conditioner 22, If the person in the store feels uncomfortable (dark) when the output of the lighting device 21 is lowered, the output of the air conditioner 22 is preferentially reduced over the lighting device 21. Thereby, there is an advantage that the demand value can be prevented from exceeding the target value without causing discomfort to the people in the store. As a specific example, under conditions where the outside light is sufficiently taken into the store, suppressing the output of the air conditioner 22 during the day when it is clear and the outside air temperature is relatively high makes the people in the store uncomfortable. Although there is a possibility of feeling hot, even if the output of the lighting device 21 is reduced, the possibility that the inside of the store becomes dark and people in the store feel uncomfortable is low. Preferentially suppress.

  In addition, when the output of the lighting device 21 is reduced, there is a possibility that a person outside the store may receive a dark impression when looking at the store from the store entrance, even if the person inside the store does not notice the change in illuminance. As a result, the visual customer attraction may be reduced. Therefore, in the time zone when the number of people in the store is less than the predetermined threshold, the output control of the air conditioner 22 is preferentially performed over the lighting device 21, while in the time zone where the number of people in the store is larger than the threshold, It is also conceivable to determine the priority of the output control according to the number of people in the store so that the output control of the lighting device 21 is preferentially performed over the air conditioner 22.

  Here, when priority is given to the output control of one of the lighting device 21 and the air conditioner 22, for example, only the one output control is started at the start of demand control, and then the demand value exceeds the target value. When it is determined that the effect of reducing the amount of electric power sufficient for avoiding the above cannot be obtained, the other output control may be performed together.

  Hereinafter, a specific example of long-term demand control using the demand control system of the present embodiment will be described with reference to FIG.

  FIG. 11 (a) is a plot of integrated values of power consumption for each demand time period monitored by the controller 10 at intervals of 5 minutes, and FIG. 11 (b) corresponds to FIG. 11 (a). The instantaneous values of power consumption are plotted at intervals of 5 minutes. In FIG. 11B, P1 indicates the power consumption of the lighting device 21, P2 indicates the power consumption of the air conditioner 22, P3 indicates the total value of P1 and P2, and the power consumption P1 includes lighting. In addition to the device 21, it is assumed to include base power that is power consumption of the refrigeration and refrigerating device 23 or the like that is regarded as substantially constant. In addition, the broken line in FIG. 11 shows data when the demand control system is not used, that is, when demand control is not performed.

  In this example, the controller 10 at the end time of the demand time period from 12: 0 to 12:30 (12:30), the end time point of the demand time period from 13:00:00 to 13:30 (13:30) that becomes the predicted demand time period. ) Predicts that the demand value will exceed the target value. At this time, the controller 10 determines that the output control of the air conditioner 22 is preferentially performed, and the air conditioning is performed by reducing the output of the air conditioner 22 over a control time (60 minutes) of 12:30 to 13:30. Long-term demand control is performed to reduce power consumption with the apparatus 22. As a result, the demand value of the predicted demand time limit (the integrated value of the power consumption at 13:30) is suppressed to be equal to or lower than the first threshold value and is below the target value. Note that if the output control of the air conditioner 22 is canceled at the time of 13:30, the demand value is predicted to exceed the target value in the demand time period of 13:30 to 14:00. The output control of the device 22 is continued.

  However, in the example of FIG. 11, when it is determined that it is not possible to avoid exceeding the target value of the demand value in the predicted demand time period only by the output control of the air conditioner 22 within the control time of 12:30 to 13:30. The control for reducing the light output of the lighting device 21 is also performed together with the output control of the air conditioner 22.

  Other configurations and functions are the same as those of the third embodiment.

It is explanatory drawing which shows the operation example of Embodiment 1 of this invention. It is a schematic system block diagram which shows a structure same as the above. It is a flowchart which shows the operation | movement of long-term demand control same as the above. It is operation | movement explanatory drawing same as the above. It is a flowchart which shows operation | movement same as the above. It is a flowchart which shows operation | movement of the other structure same as the above. It is operation | movement explanatory drawing of Embodiment 2 of this invention. It is a flowchart which shows operation | movement same as the above. It is explanatory drawing which shows the operation example of Embodiment 3 of this invention. It is a flowchart which shows the main operation | movement same as the above. It is explanatory drawing which shows the operation example of Embodiment 4 of this invention.

Explanation of symbols

10 Controller (Demand control device)
20 Electricity meter 21 Lighting device 22 Air conditioning device P1 Power consumption of lighting device P2 Power consumption of air conditioning device

Claims (7)

Power consumption monitoring results that are used in facilities equipped with electrical equipment including lighting equipment, and that the demand value, which is the integrated value of power consumption of the electrical equipment for each predetermined demand time period, falls below a preset target value A demand control system that performs demand control to control the output of electrical equipment based on the demand time, whether the demand value exceeds the target value at the end of the demand time period beyond the control time set longer than the demand time period Predicting according to the current power consumption and a predetermined determination rule, and when the predicting means determines that the demand value exceeds the target value, so that the demand value at the end of the demand time period is less than the target value, characterized in that it comprises said demand control unit Ru lowers the output of the timed end point and the control time over from the previous to the control time illumination device over time Demand control system.   The prediction means has storage means for storing a demand value, and predicts whether the demand value exceeds a target value at the end of the demand time period by comparing a past demand value with a current demand value. The demand control system according to claim 1, wherein the determination rule is applied.   Air conditioning control means for controlling the output of the air conditioner for adjusting the temperature in the facility is provided, and the air conditioning control means ends the demand time limit when the prediction means determines that the demand value exceeds the target value. The demand control system according to claim 1 or 2, wherein the output of the air conditioner is lowered so that the demand value at the time is lowered.   The prediction means uses the number of persons in the determination rule so that the increase / decrease in the power consumption of the air conditioner accompanying the increase / decrease in the number of persons in the facility is reflected in the demand value at the end of the demand time period. 4. The demand control system according to claim 3, wherein   Used in facilities equipped with electrical equipment including lighting equipment and air conditioners, power consumption so that the demand value, which is the integrated value of power consumption of the electrical equipment for each predetermined demand period, falls below a preset target value Whether the demand value exceeds the target value at the end of the demand time period beyond the control time set longer than the demand time period. Whether or not the demand value exceeds the target value when the prediction means determines that the demand value exceeds the target value, and the demand value at the end of the demand time period falls below the target value As described above, the control for reducing the output of at least one of the lighting device and the air conditioner over the control time from before the control time at the end of the demand time limit. And a priority determining unit that determines which output of the lighting device and the air conditioner is to be preferentially controlled based on a predetermined condition, and the control unit is configured to reduce the output of the lighting device. Is a demand control system characterized in that the output of the lighting device is lowered with the passage of time over the control time. When the demand value at the end point of the demand time period ahead of the control time exceeds the target value when the control unit determines that the prediction unit decreases the output of the lighting device, the control unit ends up with the end point of the demand time period. The demand control system according to any one of claims 1 to 5, wherein the output of the lighting device is gradually decreased over the control time . Power consumption monitoring results that are used in facilities equipped with electrical equipment including lighting equipment, and that the demand value, which is the integrated value of power consumption of the electrical equipment for each predetermined demand time period, falls below a preset target value Demand control method for controlling the output of electrical equipment based on the current consumption, whether the demand value exceeds the target value at the end of the demand time period beyond the control time set longer than the demand time period. Prediction processing for predicting according to power and a predetermined determination rule, and when the demand value is determined to exceed the target value in the prediction processing, the demand time period ends so that the demand value at the end of the demand time period falls below the target value And a lighting control process for reducing the output of the lighting device as time elapses from the time before the control time to the control time. Method.

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