JP2015153349A - Electric power charge optimization system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an electric power charge optimization system capable of optimizing the charge for electric power charge for an external plant.SOLUTION: The electric power charge optimization system includes: electric power charge calculation means 41 that integrates unit prices of electric power charge on the basis of time zone prescribed in electric power charge unit price table data 21 and power consumption amount of an external plant in a predetermined time prescribed in power consumption amount transition data 31 to calculate total electric power charge in the external plant for the predetermined time; and energy-saving mode selection means 42 that, when the total electric power charge exceeds a preset threshold value Y, gives an instruction to a plant controller 50 via output means to control the power supply to an equipment group under the plant controller 50 of the external plant to an energy-saving mode.

Description

  The present invention relates to a power charge optimization system for assisting in optimizing a power charge in a monitoring system for a plant that has a contract in which the power charge varies with time.

  For example, as an energy-saving effect calculation system assuming a conventional store, an input unit that inputs information for each store and a calculation unit that calculates the current energy consumption of the complex system in the store based on the information input by the input unit And a storage means for preliminarily storing a plurality of energy saving techniques for designing an energy saving system to be proposed to the store, and an estimation means for estimating the energy consumption of the energy saving system designed by selecting the energy saving technique stored in the storage means In addition, an energy saving effect calculation system has been proposed that includes a calculation result of the calculation means and a trial calculation means for calculating the energy saving effect based on the estimation result of the estimation means (for example, Patent Document 1).

Japanese Patent Laid-Open No. 2002-202998

  Since the energy saving effect calculation system described in Patent Document 1 is configured as described above, the output index is the energy consumption amount and the power amount, and the power charge cannot be grasped in advance. In addition, there is a problem that it is not compatible with a dynamic pricing system that changes the unit price depending on the energy supply-demand relationship that is expected to spread in the future.

  The present invention has been made to solve such problems, and displays the current power rate and the power rate when the energy saving mode is selected, and optimizes the plant after grasping the effect of energy saving in real time. The purpose is to provide a power charge optimization system that can be used in the future.

The power charge optimization system according to the present invention is:
Obtain the unit price table data per hour sent from the power company, and add the plant energy data sent from the plant controller of the external plant every moment for a predetermined time, and add the date An external data acquisition means for storing power consumption amount transition data in the storage means together with the time zone data;
The electric power unit price for each time zone stored as the electric power unit price table data and the electric power usage amount described in the electric energy consumption transition data at the predetermined time are integrated, and the external portion for the predetermined time period is integrated. A power rate calculation means for calculating the total power rate in the plant;
Energy saving mode selection means for instructing the plant controller of the external plant via output means to limit power supply to the energy saving mode to the energy saving mode when the total power charge exceeds a preset threshold value It is equipped with.

  According to the power rate optimization system according to the present invention, a threshold is set for the power rate of the entire plant, the power rate is calculated in real time, and when the threshold is exceeded, an optimum energy saving mode selected from a plurality of energy saving modes is selected. By having the function of changing automatically, the power charge of the plant can be optimized.

It is a block diagram which shows the system configuration | structure of the electric power charge optimization system which concerns on Embodiment 1 of this invention. It is the block diagram which showed the structure of FIG. 1 more concretely. It is a flowchart which shows operation | movement of the electric power charge optimization system which concerns on Embodiment 1 of this invention. It is an example of a display of electric power rate transition concerning Embodiment 1 of this invention. It is an energy saving mode table | surface which concerns on Embodiment 1 of this invention. It is a block diagram which shows the system configuration | structure of the electric power charge optimization system which concerns on Embodiment 2 of this invention. It is a figure which shows the structure of the used electric energy transition data 231 which concerns on Embodiment 2 of this invention. It is a block diagram which shows the display function of the predicted electric power demand which concerns on Embodiment 2 of this invention. It is a flowchart which shows the calculation operation | movement of the predicted electric power demand which concerns on Embodiment 2 of this invention. It is a screen display example of the predicted power demand amount according to Embodiment 2 of the present invention. It is a block diagram which shows the function which displays the prediction electric power charge which concerns on Embodiment 2 of this invention. It is a block diagram which shows the system configuration | structure of the electric power charge optimization system which concerns on Embodiment 3 of this invention. It is a block diagram which shows the function which changes the energy saving mode which concerns on Embodiment 3 of this invention, and displays transition of a prediction electric power charge. It is a flowchart which shows the calculation operation | movement of the prediction electric power charge which concerns on Embodiment 3 of this invention. It is a block diagram which shows the system configuration | structure of the electric power charge optimization system which concerns on Embodiment 4 of this invention. It is a flowchart of the setting of the time unit energy saving mode which concerns on Embodiment 4 of this invention, and plant control. It is an example of a display of the calculation result of the predicted electric power demand which concerns on Embodiment 4 of this invention. It is a figure which shows transition of the prediction electric power charge which concerns on Embodiment 4 of this invention. It is an example of the screen output of the electric power charge which concerns on Embodiment 4 of this invention.

Embodiment 1 FIG.
Hereinafter, the power rate optimization system according to Embodiment 1 of the present invention will be described with reference to the drawings.
FIG. 1 is a block diagram conceptually showing the system configuration of a power rate optimization system 100 (hereinafter simply referred to as system 100) according to Embodiment 1 of the present invention. In FIG. 1, an input means 10 is an input device such as a keyboard and a mouse. The external data acquisition means 20 is a power rate unit price table data 21 that records the price per unit of commercial power transmitted from an electric power company, etc., and a plant that is sent from a plant controller that manages an external plant and changes every moment. The plant power amount data 22 indicating the current power consumption amount is acquired.

  The power consumption transition data 31 recorded in the storage means 30 is data that records the hourly power consumption in the plant, is integrated in the external data acquisition means 20, and is attached with date and time data. It is transferred to 30 and saved. The system 100 includes, in the calculation unit 40, a power charge calculation means 41 for calculating a power charge from the unit price and power consumption, and an energy saving mode selection for selecting one mode from among the energy saving modes set in stages. Means 42 are provided. The output means 15 is means for outputting data to a display device such as the LCD 14 and the plant controller 50.

Next, the operation of the system 100 will be described.
FIG. 2 is a block diagram more specifically showing the configuration of the block diagram of the system 100 shown in FIG.
In FIG. 2, the external plant controller 50 has an output function for the amount of power currently used in the plant and an energy saving mode control function for limiting the power used by the plant.

  FIG. 3 is a flowchart for explaining the operation of the system 100. The plant power amount data 22 is read from the plant controller 50 as a pulse signal (step S001). The plant power amount data 22 is always integrated, and the hourly integrated data is stored in the storage unit 30 as the used power amount transition data 31 (step S002). The power consumption amount transition data 31 is stored so that it can be read out in units of days.

  At every hour on the hour (step S003), for example, at 14:00, the power rate unit price table data 21 output from the dynamic pricing system of the power company or the like is received from the outside via the Internet (step S004). Then, the power rate calculating means 41 multiplies the amount of power accumulated during the previous hour by the value of the power rate unit price table, and calculates the used power rate for 1 hour before 14:00 (step S005). Then, the calculated power charge for one hour is transferred to the LCD 14 via the output means 15 (step S006).

  FIG. 4 is a display example of the transition of the power rate of the plant displayed on the LCD 14. The power charge is displayed as a bar graph every hour, the vertical axis represents the power charge, and the horizontal axis represents the time. A total amount display column 60 for a daily power charge is provided.

When it is determined that the power rate calculated by the power rate calculation means 41 is equal to or greater than the set threshold Y (step S007-Yes), the energy saving mode selection means 42 causes the output mode 15 to change the operation mode of the plant to the energy saving mode. To the external plant controller 50 (step S008).
FIG. 5 is an energy saving mode table 43. As shown in the figure, four types of energy saving modes, Mode 1 to Mode 4, are stored in advance, and how much power is supplied to each device group A to D in each mode relative to normal supply. The ratio (referred to as energy saving mode coefficient) is described. The energy saving mode selection means 42 is a means for changing the energy saving mode according to the excess rate from the threshold per hour of the total power consumption.

  The threshold Y of the power charge is a limit value that determines that the system 100 takes a predetermined measure when the power charge exceeds the value set here. For example, when the value of a is set in advance for the threshold Y by the input means 10 and the power charge for the previous hour becomes a or more, the power charge calculation means 41 sets the threshold for the energy saving mode selection means 42. The ratio of the excess power charge from Y is transmitted. In response to this, the energy saving mode selection means 42 selects one energy saving mode from a plurality of energy saving modes according to the amount of the excess power charge, and sends a selection command for the corresponding energy saving mode via the output means 15 to the plant. Output to the controller 50.

  When the excess rate is 10% or less, the plant controller 50 is instructed to operate in the mode 1 in which the power supply of the devices corresponding to the plant device groups A to D is reduced to 90% of the normal time. If the excess rate further increases, the power supply to the device group corresponding to the device group A to C is maintained at 90%, and the plant controller 50 is instructed to cut off the power supply to the device corresponding to the device group D. To do. Thus, by providing a plurality of energy saving modes in the energy saving mode table 43 used by the energy saving mode selection means 42, the device is operated with the output of the device being reduced or the power supply is continued according to the excess rate of the power charge. The device group and the device group whose supply is to be stopped can be set separately.

  When it is determined that the power charge calculated by the power charge calculating means 41 is less than the set threshold value (step S007—No), the energy saving mode is not changed. The plant controller 50 performs plant control in the normal mode. FIG. 4 shows a state in which the power charge for one hour from 12:00 to 13:00 exceeds the threshold. When the hourly power charge exceeds the threshold, the energy saving mode of the plant is changed to mode 1, and the power charge from 13:00 to 14:00 has been lowered.

  According to the power rate optimization system 100 according to Embodiment 1 of the present invention, a threshold is set for the power rate (total power rate) of the entire plant, and the power rate is calculated in real time. By having the function of automatically changing from the energy saving mode to the optimum energy saving mode selected, the power rate of the plant can be optimized. In addition, it is possible to set a plurality of energy saving mode coefficients for each device group by giving priority to the device even in one energy saving mode, so that the power supply amount for the high importance device and the low device can be changed, Electricity charges can be optimized. In the present embodiment, the amount of power used for one hour is used, but it may be 30 minutes or minutes.

Embodiment 2. FIG.
Hereinafter, power rate optimization system 200 according to Embodiment 2 of the present invention will be described with reference to the drawings, focusing on parts different from Embodiment 1. FIG.
FIG. 6 is a block diagram conceptually showing the system configuration of a power rate optimization system 200 (hereinafter simply referred to as system 200) according to the present embodiment. The difference from the system 100 of the first embodiment is that the calculation unit 240 includes a power demand prediction unit 44 that predicts the future power demand amount and the power charge, and the data recorded in the used power amount transition data 231. The content has been added.

FIG. 7 is a diagram illustrating a configuration of the power consumption amount transition data 231.
The power consumption amount transition data 31 of the first embodiment records the power used in the plant with a date in units of time, whereas in the present embodiment, the date, time zone, In addition to the amount of power used, weather and temperature for each time zone is accumulated and stored.

  FIG. 8 is a block diagram illustrating a function for displaying the predicted power demand. FIG. 8 shows only the components added to FIG. 2 of the first embodiment. The selection condition input 11 is a condition that is input to extract data related to past power consumption that was in the same condition as the day to be predicted from the accumulated power consumption transition data 231. Enter the day type (day of the week), weather, maximum temperature, minimum temperature, etc.

  The power demand prediction unit 44 is a unit that extracts data close to the above-described conditions from the accumulated past power consumption amount transition data 231. The data extracted by the power demand prediction means 44 is transferred to the LCD 14 via the output means 15 as predicted data (predicted power demand) for the future power consumption in the entire plant.

Next, the calculation operation of the future predicted power demand will be described using FIG. 9 and FIG.
FIG. 9 is a flowchart showing the calculation operation of the predicted power demand. FIG. 10 is a screen display example of the result. First, in order to predict the transition of power demand, the day type to be predicted is selected from “weekdays, Saturdays, Sundays, and holidays” by the input means 10, and the weather from 0:00 to 12:00 and from 12:00 to 24:00 is selected. The forecast is selected and input from “sunny, rainy, cloudy, snow”, and the predicted maximum temperature and minimum temperature are input (step S201).

  The power demand prediction unit 44 takes in the selected and input conditions, extracts the past one-day data closest to the selection conditions from the stored power consumption amount transition data 231 (step S202), and predicts the predicted power demand for that day. The change in the amount is displayed on the LCD 14 via the output means 15 (step S203). As shown in FIG. 10, the display contents are the predicted power demand for each hour and the data extraction conditions used for the prediction. By displaying the transition of the predicted power demand per hour per day, it is possible to easily grasp how much kWh power is consumed in which time zone.

  FIG. 11 is a block diagram illustrating a function of displaying the predicted power rate for the day using the predicted power demand trend data. A means for calculating a predicted power charge is added to the display function of the transition of the predicted power demand described with reference to FIG. The predicted power rate is calculated by the power rate calculation means 241 from the predicted power demand in units of time and the unit price per hour in the time zone described in the power rate unit price table data 21, and the hourly transition is calculated. The image is displayed on the LCD 14 via the output means 15.

  According to the power rate optimization system 200 according to the first embodiment of the present invention, not only can the power rate for each hour of the day be predicted and displayed, but also the power rate transition can be predicted even when the unit price fluctuates. In addition, it is possible to take effective measures to reduce power charges in advance.

Embodiment 3 FIG.
Hereinafter, a power rate optimization system 300 according to Embodiment 3 of the present invention will be described with a focus on differences from Embodiment 2 with reference to the drawings.
FIG. 12 is a block diagram conceptually showing the system configuration of a power rate optimization system 300 (hereinafter simply referred to as system 300) according to the present embodiment. The difference from the system 200 of the second embodiment is that the energy saving mode selection means 342 can also be called from the power demand prediction means 344, and other configurations are the same as those of the second embodiment.

  FIG. 13 is a block diagram showing the function of changing the energy saving mode by the energy saving mode selection means 342 and displaying the transition of the predicted power rate. FIG. 13 shows only the components added to FIG. 2 of the first embodiment as in the second embodiment.

FIG. 14 is a flowchart showing an operation for calculating a predicted power rate.
The flow (step S201 to step S203) until the transition data of the predicted power demand amount is displayed is the same as that in the second embodiment.
The energy saving mode and the energy saving mode coefficient corresponding to each energy saving mode are the same as the energy saving mode coefficients in the energy saving mode table 43 used in the first embodiment. When a specific energy saving mode is selected (step S304), energy saving mode coefficients for the respective device groups A to D corresponding to the selected energy saving mode are captured (step S305).

  The power demand prediction unit 344 calculates a predicted power demand amount in the energy saving mode in each time zone obtained by multiplying the normal predicted power demand amount by the energy saving mode coefficient (step S306). Next, the power rate unit price table data is taken in via the Internet (step S307), the power rate calculation means 241 calculates the difference between the predicted power rate in the normal mode and the predicted power rate in the energy saving mode (step S308), and the reduction amount is calculated. It is visualized and displayed with diagonal lines (step S309).

  The screen output example of FIG. 13 represents the transition of the possible reduction of the predicted power rate when using the energy saving mode that is the normal mode. Similarly, although not shown, the predicted power demand in the normal mode and the energy saving mode can be displayed with the reduction amount superimposed. Thereby, the reduction effect of the prediction electric power demand amount and prediction electric power charge by selecting an energy saving mode can be confirmed.

Embodiment 4 FIG.
Hereinafter, the power rate optimization system 400 according to the fourth embodiment of the present invention will be described with reference to the drawings, focusing on the differences from the second and third embodiments.
FIG. 15 is a block diagram conceptually showing the system configuration of a power rate optimization system 400 (hereinafter simply referred to as system 400) according to the present embodiment. The difference from the system 300 of the third embodiment is that the energy saving mode selection means 442 can set the type of energy saving mode to be used in units of time and can output the prediction result in the system 400 to the plant controller 50. .

  FIG. 16 is a flowchart of setting of the energy saving mode in units of time and plant control according to the present embodiment. The processing from step S201 to step S203 is the same as in the second and third embodiments. The energy saving mode is set in units of time by the energy saving mode selection means 442 (step S404), and the energy saving mode coefficients of the respective device groups A to D are acquired in units of time (step S405).

  Calculate the predicted power demand for the entire plant in each energy saving mode in time units (step S406), obtain power rate unit price table data via the Internet (step S407), and select the normal mode in time units and the selected energy saving mode The predicted power charge at is calculated (step S408).

FIG. 17 is a display example of the calculation result of the predicted power demand amount by the power demand prediction unit 444.
For each time zone, the predicted power demand in the normal mode and the predicted power demand that can be reduced in the selected energy saving mode (shaded area) are displayed in an overlapping manner.
FIG. 18 is a diagram showing the transition of the predicted power rate calculated further from the calculated predicted power demand. There is an advantage that a power charge that can be reduced according to the energy saving mode selected in each time zone can be predicted and displayed (step S409) according to the power charge unit price that changes with time.

  Thereafter, when it is determined that the driver needs to instruct the energy saving mode control to the plant (step S410), the “mode control output” is set so that the plant operates each of the device groups A to D in the selected energy saving mode. Using the input means 10, “valid” is set. As a result, the output unit 415 instructs the plant controller 50 to change to the energy saving mode (step S411). A scheduled time for changing the energy saving mode may be set using a timer, and the change of the energy saving mode may be instructed after a predetermined time has elapsed (step S412).

  FIG. 19 shows a screen output example of actual power charges in the present embodiment. A switch is provided on the screen to enable / disable the mode control output. The line graph connecting the black circles displays the power rate calculated from the actual power consumption in the plant in units of one hour. It is possible to grasp the transition of the electricity charge up to now and the electricity charge in the energy saving mode. Also, by enabling or disabling mode control output on the screen, if a problem occurs in the plant during operation in the energy saving mode, it can be easily changed to normal control.

  It should be noted that the present invention can be freely combined with each other within the scope of the invention, and each embodiment can be appropriately modified or omitted.

100, 200, 300, 400 Electricity rate optimization system, 10 input means,
11 selection condition input, 15,415 output means, 20 external data acquisition means,
21 Electricity rate unit price table data, 22 Plant electric energy data, 30 Storage means,
31, 231 Power consumption transition data, 40, 240 calculation unit,
41, 241 Electricity rate calculation means,
42, 342, 442 energy saving mode selection means, 43 energy saving mode table,
44,344,444 Electric power demand prediction means, 50 Plant controller,
60 Total amount display column, Y threshold.

Claims (8)

Obtain the unit price table data per hour sent from the power company, and add the plant energy data sent from the plant controller of the external plant every moment for a predetermined time, and add the date An external data acquisition means for storing power consumption amount transition data in the storage means together with the time zone data;
The electric power unit price for each time zone described in the electric power unit price table data and the electric power consumption stored as the electric power consumption transition data at the predetermined time are integrated, and the external portion for the predetermined time is accumulated. A power rate calculation means for calculating the total power rate in the plant;
Energy saving mode selection means for instructing the plant controller of the external plant via output means to limit power supply to the energy saving mode to the energy saving mode when the total power charge exceeds a preset threshold value Power price optimization system with An energy saving mode that defines an energy saving coefficient for defining a ratio of a power supply amount to a plurality of device groups of the external plant in the energy saving mode to a power supply amount in a normal mode for each of the plurality of device groups. With a table,
The energy saving mode selection means instructs the plant controller of the external plant via the output means to restrict power supply to a plurality of the device groups according to the energy saving coefficient described in the energy saving mode table. The power charge optimization system according to claim 1. The energy saving mode table has a plurality of energy saving modes,
3. The power rate optimization system according to claim 2, wherein the energy saving mode selection unit selects the energy saving mode to be used in accordance with an excess rate of the total power rate from the threshold. The power consumption amount transition data includes the day of the week, weather, and temperature information on the recording date and time of the power consumption amount in the predetermined time unit,
The power rate optimal means according to claim 3, further comprising: a power demand prediction means for predicting a predicted power demand amount of the external plant in the predetermined time unit on a specific date in the future from a weather forecast and the power consumption transition data. System. The said power rate calculating means calculates the predicted power rate of the said external plant of the said predetermined time unit on the said specific day in the future from the said predicted power demand amount and the said power rate unit price table data. Electricity price optimization system. The power demand prediction unit changes the energy saving mode by calling the energy saving mode selection unit, and calculates a predicted power demand amount in the energy saving mode of the external plant for the predetermined time unit on the specific day in the future. The power rate optimization system according to claim 4 or 5. The power rate optimization system according to claim 6, wherein the energy saving mode selection unit can select one energy saving mode from the plurality of energy saving modes in the predetermined time unit on the specific day in the future. The power rate optimization system according to any one of claims 4 to 7, wherein the output unit instructs the plant controller of the external plant to change to an energy saving mode used by the power demand prediction unit.

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