TW202042167A - Electricity cost simulation device, electricity cost arithmetic device, electricity cost simulation arithmetic and electricity cost arithmetic expression - Google Patents

Abstract

In order to ensure that the appropriate electrical supply category can be selected for a receiver of a supply of electricity, provided is an electricity cost simulation device comprising a selection unit which: acquires an electricity consumption attribute of an electricity consumer and an electricity cost attribute for each electricity supply category; acquires a simulation period; retains an electricity cost simulation arithmetic expression which is an arithmetic expression for simulating the electricity cost over time for each of the electricity supply categories in the simulation period; and, on the basis of the acquired electricity consumption attribute and the retained electricity cost simulation arithmetic expression, selects over time in the simulation period the electricity supply category having the lowest electricity cost among a plurality of the electricity supply categories.

Description

Power cost simulator

The present invention relates to a device for performing a simulation for selecting the most advantageous electricity tariff plan among contract plans with multiple power supply companies.

There are multiple power supply entities, and the content of the electricity charge (basic charge and energy charge) for each entity is different.

As far as the supplier of electricity is concerned, it is hoped that it can receive electricity with a cheap fee scheme as much as possible. Therefore, a system for comparing power supply schemes is expected.

As such a system, Patent Document 1 can be cited. [Prior Technical Literature] [Patent Literature]

[Patent Document 1] Japanese Patent Laid-Open No. 2018-173872

(The problem to be solved by the invention)

Patent Document 1 provides an electrical cost reduction system accompanying the liberalization of electricity, and the electrical cost reduction system is based on the electricity demand and information about the corresponding time period, and is sold by power companies other than electrical Calculate and compare the purchase amount of non-electrical goods and purchase consumption patterns to calculate and compare the consideration to be paid to the electric power company corresponding to each electric charge menu, and select the lowest price electric charge menu and notify the electric user .

However, Patent Document 1 is a comparison between a plurality of electricity tariff menus within a specific electricity supplier, and it is impossible to obtain the result that the electricity supplier chooses the best electricity supply category. The reason is that it is not practical to change the contract every time. However, as a third-party service, there is the possibility of a business model that can sell electricity at the same price as the consideration of the supplier whose lowest price is compared between suppliers. (Technical means to solve the problem)

The present invention is based on the premise of such a problem, and provides an electric power cost simulation device that can realize a business model of selling electric power at the same price as the consideration of the power supply category that is optimal for the supplier of receiving electric power.

Specifically, the present invention provides a power cost simulation device, which includes: a power consumption attribute acquisition unit that acquires the power consumption attributes of power demanders; and a power cost attribute acquisition unit that acquires individual power cost attributes for each power supply category ; The simulation period acquisition part, which acquires the simulation period as the simulation period described later; the power cost simulation calculation formula holding part, which holds the power cost simulation calculation formula, and the power cost simulation calculation formula is used to compare multiple power supply categories Each, according to the power consumption attribute and power cost attribute specified by the demander’s power consumption attribute and the power supply category, and during the simulation period, the power cost of each power supply category is simulated in a time series; and the selection part, which is based on the obtained Power consumption attributes, acquired power cost attributes, and maintained power cost simulation calculation formulas, and during the simulation period, the power supply category with the lowest power cost amount among multiple power supply categories is selected according to the time series.

In addition, the present invention provides a power cost simulation device. In addition to the above-mentioned features, the power cost simulation device further includes: a power cost calculation unit that performs calculations in accordance with the selection of the power supply category selected by the selection unit in time series The power cost when the power is consumed during the simulation period; and the selected power cost simulation result output unit, the output of which is the selected power cost simulation result of the calculation result performed by the power cost calculation unit.

In addition, the present invention provides a power cost simulation device. In addition to the above-mentioned features, the power cost simulation device further has a power cost simulation result comparison output unit, and the power cost simulation result comparison output unit will perform a comparison of multiple power supply categories. The calculated electricity cost simulation results can be compared and output.

In addition, the present invention provides a power cost simulation device. In addition to the above-mentioned features, the power cost simulation device further has a selected power cost simulation result comparison output unit, and the selected power cost simulation result comparison output unit compares more than one The power cost simulation result calculated by the power supply category and the power cost simulation result after selection can be compared and output.

In addition, the operation method of the power cost simulation device and the power cost simulation program described in the device can be read and executed by a computer, ie, the power cost simulation device.

Based on the foregoing, the present invention intends to provide a power cost simulation device that can realize a business model that sells power at the same price as the consideration for the best power supply category for the supplier that receives power.

Hereinafter, the embodiments of the present invention will be described using the accompanying drawings. Furthermore, the relationship between the embodiment and the claims is as follows. Mainly, the description of Embodiment 1 is about claim 1, claim 5, claim 9, claim 13 to claim 15, and the description of embodiment 2 is about claim 2, claim 6, and claim 10, and embodiment 3 The description is about claim 3, claim 7, and claim 11. The description of Embodiment 4 is about claim 4, claim 8, and claim 12, and the description of Embodiment 5 is about claim 16 to claim 19. The invention of this case should not be limited by these embodiments, and can be implemented in various modes without departing from the spirit of the invention. [Embodiment 1]

This embodiment provides a power cost simulation device, which is configured to obtain the power cost attribute specified by the power consumption attribute, the power supply category of the power demander, and the simulation period, and maintain it for each of the plurality of power supply categories according to demand The power consumption attribute and power cost attribute specified by the power supply category. During the simulation period, the power cost simulation formula for each power supply category is simulated according to the time series, and is based on the obtained power consumption attribute And the maintained power cost simulation calculation formula, and during the simulation period, the power supply category with the lowest power cost amount among the multiple power supply categories is selected according to the time series.

Fig. 16 is a diagram showing the overall view of this embodiment. As an example, the power cost simulation device obtained the "power cost attribute" from the four power supply companies of Pacific Power Company, Tokai Electric Power Company, Japan Electric Power Company, and Yamato Electric Power Company, and used the acquired "power consumption attribute" of the ABC coffee chain , The obtained "simulation period", and calculate the state of "the selection result during the simulation period of the power supply category with the lowest power cost" according to the "power cost simulation calculation formula".

The so-called "power supply category" refers to the power supply service provided by the electrical business or/and each electrical business. The so-called electrical business refers to "retail electrical business, general power transmission and distribution business, power transmission business, specific power transmission and distribution business, and power generation business." These combinations can also be included in the power supply category. For example, a combination of a power sales company and a power transmission company. Part of the 2015 Electric Business Law was amended in accordance with the "Law No. 47 of June 24, Heisei 27", and in line with the full-scale liberalization of electricity retail since April 1, 2016, Although the revised Electric Business Law came into effect on the same day, in Japan, the electric companies specified by the old name before the revision are "general electric companies, wholesale electric companies, specific electric companies, and specific-scale electric companies" "Professor" is in line. It also includes businesses that retail through the transmission lines managed by general electrical companies to customers with special high-voltage/high-voltage received contract power of 50 kW or more, which are called "new power" businesses. FIG. 19 is a diagram showing an example of the selection of "available power supply category" as an option among many existing power supply companies. As alternates, there are "Pacific Power Company", "Tokai Electric Power Company", "Nippon Electric Power Company", "Yamato Electric Power Company", "Nara Electric Power Company", and "Okinawa Electric Power Company", which are available as "ABC Coffee Chain Stores" Available power supply types are "Pacific Power Company", "Tokai Electric Power Company", "Nippon Electric Power Company", and "Daiwa Electric Power Company". The "power supply category with the lowest electricity cost" in the selection section described later will be performed within the scope of the selected power supply category. In the specific example of the illustration below, the hypothetical companies will be explained with the examples of "Pacific Power Company", "Tokai Electric Power Company", "Nippon Electric Power Company", and "Yamato Electric Power Company" as power suppliers. , And as an electricity demander, take "ABC Coffee Chain Store" as an example.

Hereinafter, regarding the power cost simulation device of this embodiment, the functional configuration, hardware configuration, and processing flow will be described in order.

＜Functional structure＞ Fig. 1 is a diagram showing the functional configuration of the power cost simulation device of this embodiment. The power cost simulation device of this embodiment has a power consumption attribute acquisition unit (0101), a power cost attribute acquisition unit (0102), a simulation period acquisition unit (0103), a power cost simulation calculation formula holding unit (0104), and a selection unit (0105). Hereinafter, regarding the functional configuration, the content of each function will be specifically described.

The so-called "power consumption attribute acquisition unit" has the function of obtaining the power consumption attribute of the demander of power. The so-called "power consumption attribute" refers to the mode of power consumption in the time series. The so-called time series include, for example, consumption patterns such as year, month, and week. Furthermore, the "demand" can be either a specific actual demander, a representative and hypothetical demander of the hypothetical industry, or a hypothetical demander that the industry itself does not particularly notice. . In other words, the so-called demanders are consumers of electricity. The power consumption attribute acquisition unit can select from multiple modes of power consumption attributes prepared in advance, or it can be a prototype of the power consumption attributes prepared in advance, and can obtain power consumption attributes by filling up the blanks. By. Alternatively, it may be configured to first select the fill-in formula (there is also a text (text)), and then fill in the blanks to obtain power consumption attributes. Filling in the blanks can also be constructed by selecting from a drop-down menu.

Fig. 20 is a diagram showing an example of power consumption attributes. The so-called power consumption attribute refers to information indicating the power consumption characteristics of a specific power demander. For example, it can be derived based on the actual power consumption performance of the power demander from the past 1 year to the past 5 years. Alternatively, it can be derived based on the past power consumption performance of a group consisting of a plurality of power demanders that can be assumed to be approximately similar in power consumption. Or, compared to actual performance, the power consumption trend is designed based on the past experience of the designer and manager of the device, and based on the assumption of what power consumption trend will be shown if it is a hypothetical power demander. The hypothetical power demander can also be based on the industry classification to which the power demander belongs (for example, the Japanese Standard Industrial Classification, the industry classification appropriately designed by the designer) or the industry classification (GICS industry classification, the industry classification appropriately designed by the designer ), and the business scale of the power demander, etc., which are prepared in advance. Furthermore, the power consumption attribute is applied to the power consumption attribute during the simulation period described later. That is, the power consumption attribute is a value that can be obtained as a function of the time axis during the simulation period described later. For example, "maximum consumption peak time period (demand period)", "(average) electricity consumption (depending on demand period)", "maximum power consumption (depending on demand period)", "contract power supply category", "power consumption Trends of change (increasing rate, decreasing rate)", "industry classification to which power demanders belong", "information indicating the size of the company (annual sales, number of employees, total market value in the case of listed companies)", "power consumption Power consumption ratio of different machines", "power consumption place (region, address)", "power saving history of power demanders (power saving forecast)", etc.

For the input of these power consumption attributes, there is a possibility that candidates are prepared in advance and set as a drop-down menu.

Fig. 18 is a diagram showing an example of a screen in a case where the attribute of power consumption is input in the pull-down menu. The company name, which is the target power demander, can be entered as "ABC Coffee Chain Store", and the target period can be entered as "Month Day-Month Day". Moreover, the items listed in the above FIG. 17 can be selected, and after selecting a specific item, the selection can be made through the drop-down menu, thereby automatically completing the input. This prevents the input content from expanding into countless situations.

In addition, the power consumption attribute acquisition unit may also have: basic equipment operation quantity retention means, which maintains the basic equipment operation quantity that constitutes the basic equipment operation quantity of the power consumption attribute in the unit time unit in the simulation period; experimental equipment Operational quantity acquisition means, which acquires the experimental equipment operating quantity as a tentative equipment operating quantity in the unit of length of time during the simulation period; and the experimental power consumption attribute generation means, which generates electricity including the experimental equipment operating quantity Consumption attributes. In this case, the above-mentioned unit time length can be any one or more of 30-minute units from the hour, natural multiples of 30-minute units from the hour, and 24-hour units from the hour. length. In addition, the means for obtaining experimental equipment operation amount may also have a replacer that replaces the equipment operation amount of a certain unit time length with the equipment operation amount of another unit time length. The experimental equipment operation amount is preferably configured to be obtained by editing the basic equipment operation amount maintained. There is an effect that the selection of which power supply type is more advantageous if the basic equipment operation amount is changed to a certain degree according to the selection result of the selection unit. In addition, it is also possible to simulate the power cost based on the selection result, and it is possible to know how the cost will change if the operating volume of the basic equipment is changed. In addition, a basic equipment operating volume can be used as a starting point to obtain a plurality of experimental equipment operating volumes, and to compare the selection results of the selection part or the simulation results of the comparison cost respectively, so as to observe the imaginary operation of the equipment The difference in the scheme. In addition, it is also possible to compare the results of selecting different power supply types during the same period of the simulation period. Furthermore, it may be configured such that in addition to the power cost, the power cost attribute may also include, for example, CO ₂ emission cost or carbon tax. Carbon tax is generally included in the cost of electricity when it is levied on electricity suppliers. However, the part of the carbon tax can also be explicitly extracted and expressed as a barometer for realizing socially responsible investment ( barometer).

The so-called "power cost attribute acquisition unit" has the function of acquiring individual power cost attributes for each power supply category. The so-called "power cost attribute" refers to the attribute of the so-called power supply price, and it is information that indicates which price is set by which conditions and rules for electricity demanders, or there is a tendency to set which price. For example, it means that the power supply in the whole country or a specific area (such as East Japan, West Japan, Okinawa, Hokkaido, if it is the United States, the west coast, east coast, etc.) is not available, or the country or a specific area has more power supply Information about the relationship between what kind of price and other power supply conditions will be set, and the current power supply price. As power supply conditions, there are seasons, months, days of the week, time of day, region, supply, power generation cost, and power supply price decision policy. For each power supply category, it is not based on the average of the past actual performance and the most recent actual performance, or actual performance value, but may be the cost attribute estimated based on the past actual performance. For example, it is also possible to predict the electricity cost attribute during the simulation period described later based on the future forecast trend of crude oil price or the future forecast trend of exchange rate, etc., and the past performance value, and others. The electricity cost attribute can be obtained as what should be applied to the simulation period described later. In addition, in the case of predicting power cost attributes as described above, it may be configured to include a power cost attribute predicting unit. Furthermore, the power cost attribute prediction unit may be configured to maintain the power cost attribute prediction value calculation rule for calculating the predicted value of the power cost attribute by inputting a plurality of variables into a predetermined calculation formula, and by predicting it Or the actual variable is input into the rule, and the electricity cost attribute is obtained as the predicted value. Since the power cost attribute is the power cost attribute during the simulation as described above, it is a value that can be obtained as a function of the time axis during the simulation. The power cost attribute is defined as the smallest unit that corresponds to the simulation period. During the simulation period, usually the smallest unit is the demand period, which is established by a set of multiple demand periods. That is, the start time and end time of the simulation period are the start time of the demand period, and similarly, the end time is the end time of the demand period. Therefore, in this case, the electricity cost attribute is specified in the unit of demand period. The so-called "demand period" is the period used to specify the basic fee for electrical charges. In Japan, it is self-adjusted every hour (1 o'clock, 2 o'clock, 3 o'clock, 4 o'clock, 5 o'clock, 6 o'clock, 7 o'clock) , 8 o'clock, 9 o'clock, 10 o'clock, 11 o'clock, 12 o'clock, 13 o'clock, 14 o'clock, 15 o'clock, 16 o'clock, 17 o'clock, 18 o'clock, 19 o'clock, 20 o'clock, 21 o'clock, 22 o'clock, 23 o'clock, 24 o'clock 30 minutes from the point (zero hour)) is a demand period, and 30 minutes until the next hour is a demand period.

Fig. 13 is a diagram showing an example of power cost attributes of different power suppliers in relation to power demanders. For example, the so-called "basic fee, basic fee history", "electricity fee, electricity fee history", "fuel adjustment fee, fuel adjustment fee history" (the so-called "fuel adjustment fee", because fuel costs are affected by the economic situation (exchange rate or crude oil) Prices) have a greater impact, so in order to clarify the efficiency of the power company’s management results, changes in fuel costs are quickly reflected in electrical costs). Examples include "the history of changes in the cost per unit of electricity (single-year performance or multiple annual averages)", "changes in the cost per unit of electricity due to changes in foreign exchange", "changes in the price of crude oil and other fuels Changes in the cost per unit of electricity", "changes in the cost per unit of electricity due to changes in tariffs", "changes in the cost per unit of electricity due to changes in the distribution fee from the source of power generation", etc.

Figure 22 is a diagram showing the specific electricity cost attributes of the four companies of Pacific Power Company, Tokai Electric Power Company, Japan Electric Power Company, and Yamato Electric Power Company. Pacific Power Company has a feature (electricity cost attribute) that it is cheaper for a large number of users in the daytime during the new calendar year or Obon. Donghai Electric Power Company has the characteristic of supplying electricity relatively cheaply throughout the year (power cost attribute). Nippon Electric Power Company has the characteristic that the basic fee is cheap but the electricity fee is relatively high (power cost attribute). Daiwa Electric Power Company has a feature (electricity cost attribute) that prices are particularly low before and after the settlement month (December, June). In this way, the power supply company has its own electricity tariff plan, with its own characteristics. For example, in the case of the Japanese power company, although it is more beneficial to households and small-scale companies, it is not beneficial to companies that consume large amounts of electricity. In fact, even for households and small-scale companies, the power supply companies that are more advantageous (low-cost) in different seasons will change.

The so-called "simulation period acquisition unit" has a function of acquiring the simulation period which is the simulation period described later. The smallest unit of the simulation period is usually the demand period, which is established by the collection of multiple demand periods. That is, the start time and end time of the simulation period are the start time of the demand period, and similarly, the end time is the end time of the demand period. The so-called "demand period" is the period used to specify the basic fee for electrical charges. In Japan, it refers to the hourly adjustment point (1 o'clock, 2 o'clock, 3 o'clock, 4 o'clock, 5 o'clock, 6 o'clock, 7 o'clock). Dot, 8 o'clock, 9 o'clock, 10 o'clock, 11 o'clock, 12 o'clock, 13 o'clock, 14 o'clock, 15 o'clock, 16 o'clock, 17 o'clock, 18 o'clock, 19 o'clock, 20 o'clock, 21 o'clock, 22 o'clock, 23 o'clock, 30 minutes from 24 o'clock (0 o'clock), and 30 minutes until the next hour. "Electrical expenses" are usually set as follows. "Electrical Expenses" = "Basic Expenses (Fixed Billing)" + "Electricity Expenses (Metering and Billing)" + "Additional Charges for the Promotion of Renewable Energy Generation" (Electrical expenses include an amount equivalent to consumption tax, etc.) "Basic Charge" = "Unit Price of Charge" × "Contract Electricity (kW)" × "(185-Power Factor)/100" "Electricity charge" = "Electricity charge unit price (yen/kWh)" × "Power consumption (kWh)" ± "Fuel charge adjustment amount". Here, the "fuel fee adjustment amount" refers to the amount of electrical charges adjusted according to the price changes of fuel [crude oil, LNG (liquefied natural gas), coal]. The fuel cost adjustment is calculated by multiplying the fuel cost adjustment unit price (yen/kWh) by the power consumption (kWh). Next, the method of determining contract power will be explained. The method of determining "contracted power (kW)", for example, when the high voltage is less than 500 kW of power demand, the contracted power (kW) for each month is determined by the actual quantity system based on the measured value of the electric meter. The so-called "actual quantity system" uses an electronic electricity meter integrated with a maximum demand power meter to measure the average power consumption every 30 minutes, and the largest value in one month is set as the maximum demand value and the maximum demand power . The maximum value of the maximum demand power in each month of the past year including the current month is the contract power. As mentioned above, the representative example of the simulation period is one year. When a power supply contract is to be concluded with a new power supplier, it is more convenient to set it to a period of one year from the assumed contract start date. The reason is that it can be observed to what extent the cost of electricity can be suppressed in the coming year if you switch to a new electricity supplier. The representative example of the new power supplier assumed here is the same as the power supplier who switches to the power demander at any time throughout the year and supplies power at the lowest cost during each period in a time sequence (power supply In the case of category), it is agreed to provide a supplier of electricity at the same cost. That is, it is a power supplier that serves a power supply business model that can imaginatively switch between frequent power suppliers (power supply types) that cannot be realized in reality. In other words, the electricity supplier does not adopt the rigid electricity bill system as described above ("electrical charge" = "basic charge (fixed billing)" + "electricity charge (metered billing)" + "promoting renewable Additional levy for energy generation"). In addition, the simulation period can be either in minutes, 1 hour, 3 hours, morning, afternoon, daily, weekly, or monthly The unit can also be an annual unit.

The so-called "power cost simulation calculation formula holding unit" has the function of maintaining the power cost simulation calculation formula, and the power cost simulation calculation formula is used for each of a plurality of power supply categories according to the power consumption attributes and The power cost attribute specified by the power supply category, and the calculation formula of the individual power cost of each power supply category is simulated in time series during the simulation period. As a representative "power cost simulation formula", it is used to calculate the value of power consumption included in the power consumption attribute (for example, 1000 kwh) and the value of each unit time (for example, the demand unit period) during the simulation period. The cost per unit of electricity contained in the electricity cost attribute (either monetary unit or other unit, such as 10 yen/1 kwh) is multiplied (e.g. 1000 kwh×(10 yen/ 1 kwh) = 10000 yen).

The so-called "selection unit" has the following function: according to the acquired power consumption attributes, the acquired power cost attributes, and the maintained power cost simulation calculation formula, during the simulation period, it selects the power in a plurality of power supply categories according to the time series. The power supply category with the lowest cost. The simulation period is typically 1 year in which the four seasons cycle once. The reason is that the power consumption pattern usually takes one year as a cycle. The minimum period unit for selecting the power supply category is the demand period. During the demand period, as mentioned above, it can be designed to select the power supply category every 30 minutes when it is most frequent. However, it is not limited to this, and the period of natural multiple of 30 minutes can be selected as the time period during which the power supply type can be switched. The part that does not need to comply with the rules of reality when switching between electrical companies is a feature of the device. In addition, the switching period of the power supply type may be configured to select the update period. In this case, there is a possibility that the selection part may set the selection means during the update period.

Fig. 21 is a diagram showing an example of the electricity cost (yen/kw) incurred by four power supply companies for a specific power demander according to the power consumption attributes of the specific power demander. Here, the display is performed with an example in which the unit of the selected period in the time series is set to the unit of month and the simulation period is one year in which the four seasons cycle once. For Pacific Power Company, it’s “23.0” in November, “21.5” in December, “21.5” in January, “22.5” in February, “23.5” in March, “25.0” in April, and “25.0” in May. 23.5”, “22.5” in June, “21.0” in July, “21.5” in August, “23.5” in September, and “25.0” in October. Tokai Electric Power Company’s system is “17.5” in November, “19.0” in December, “21.5” in January, “25.0” in February, “19.5” in March, “17.0” in April, and “17.0” in May. "17.5", "18.5" in June, "24.0" in July, "25.5" in August, "20.0" in September, and "19.0" in October. NEPCO’s system is “17.5” in November, “20.5” in December, “23.5” in January, “25.0” in February, “22.0” in March, “22.5” in April, and “22.5” in May. 20.5", "18.5" in June, "21.0" in July, "23.0" in August, "22.0" in September, and "22.5" in October. For Yamato Electric Power Company, “15.0” in November, “20.0” in December, “22.5” in January, “20.5” in February, “21.0” in March, “20.5” in April, and “20.5” in May. "19.5", "15.5" in June, "18.0" in July, "22.5" in August, "25.5" in September, and "23.5" in October. If the above electricity cost is taken as the premise, the electricity cost becomes the power supply category with the lowest amount, which is the part of the figure framed by the numbers. Specifically, November is "15.0" (Daiwa Electric Power Company), December is "19.0" (Tokai Electric Power Company), January is "21.5" (Pacific Power Company, Tokai Electric Power Company), and February is "20.5" (Daiwa Electric Power Company), ``19.5'' (Tokai Electric Power Company) in March, ``17.0'' (Tokai Electric Power Company) in April, ``17.5'' (Tokai Electric Power Company) in May, and ``15.5'' (Daiwa Electric Power Company) in June Electric Power Company), ``18.0'' (Daiwa Electric Power Company) in July, ``21.5'' (Pacific Power Company) in August, ``20.0'' (Tokai Electric Power Company) in September, and ``19.0'' (Tokai Electric Power Company) in October ) Is the power supply category with the lowest electricity cost. In the selection section, the supply category will be selected.

FIG. 14 is a diagram showing an example of the selection content in the selection part as a graph. Here, the unit of the selected period according to the time series is set to the unit of month, and the simulation period is 1 year in which the four seasons cycle once. Although the content of each value is shown in Figure 21, when trying to display the graph with the power cost as the vertical axis, the power supply category at the bottom is the power supply category with the lowest power cost, so the choice is The power supply category is the lowest power supply category in each month.

Figure 15 is a graph showing the comparison of the electricity cost of the selected power supply category with the ABC coffee chain using the Pacific Power Company as an example. Since the selected power supply category is the "power supply category with the lowest power cost", the power cost will not be higher than that of the Pacific Power Company. For example, if the electricity cost of the four power supply companies, Pacific Power Company, is the lowest in January and August, the power supply category (Pacific Power Company) of the electricity cost will be selected. On the other hand, for months other than January and August, since companies other than Pacific Power have the lowest electricity cost, the power supply category of the power company with the lowest amount will be selected. Therefore, for this month, the amount of electricity costs generated by using Pacific Power Company is lower. Therefore, looking at the whole year, for the ABC coffee chain, it can be known that the cost of electricity will drop significantly through simulation. In other words, if such a fee system can be used as a business model for new electrical companies and presented to power demanders, power supply at an unprecedented low cost becomes possible for power demanders. Therefore, power demanders It can also achieve substantial cost reduction and become the motivation for those who choose this business.

The above is the selection of the case where the actual performance value is used as the cost attribute, but it can also be configured to select the power supply category that will be judged as the lowest power cost based on the power consumption attribute and the power cost attribute that does not directly use the actual performance value. That is, it is the following situation: Although the past actual performance value of each power supply category is not used as the electricity cost attribute, the power cost attribute of each power supply category that will be predicted in the future will be derived based on the past actual performance value and used. . Specifically, it is the following situation: if it is a bulk user as the "power consumption attribute" and the seasonal changes are more intense, in the "power cost attribute" that will be predicted in the future during the simulation period, avoid the The choice of unfavorable power supply types, and in view of the seasonal changes, choose the cheapest power supply type (the power supply type whose unit price is cheaper in the period when a large amount of electricity is consumed). In this case, for example, there may be multiple power supply categories that may be beneficial to bulk users. Moreover, in such a situation, which one to choose from among the pluralities can be determined by the person who manages the invention device, or the power demander's choice of simulation can be performed by the entrusting manager, or it can be constituted as the invention device using random numbers Wait and choose arbitrarily. In addition, it may be configured to prepare a plurality of scripts that are selectively different for which power supply category to select, so that the power demander, etc., select the script, and select the power supply category according to the selected script. Therefore, the power cost simulation device may be configured to include a script holding unit, a script selection accepting unit, and a script selection control unit that controls the selection unit based on the script. In addition, it can also be configured that the power cost simulation device automatically selects all plural scripts in sequence and controls the selection unit while performing the selection, and compares the execution results by comparing the power cost as a whole during the simulation period. The selection result selected by the script with the lowest result is set as the selection result of the selection part. Therefore, the power cost simulation device may be configured to have an automatic script execution unit. In addition, it is also possible to set up a script composition unit in a manner of preparing appropriate scripts according to various social events related to power supply or power demand. It is preferable that the script component has a variable that affects the script according to the predicted social situation, and the script is generated by substituting values into the variable according to the actual social situation. Therefore, it is preferable that the power cost simulation device includes a script variable acquisition unit that assigns variable values to the script configuration unit.

Fig. 17 is a diagram showing an example of a situation in which the power supply category judged to be the lowest in power cost is selected based on the power consumption attribute and the power cost attribute, taking the ABC coffee chain as an example. The ABC coffee chain is set to have the power consumption attributes of "the number of customers will increase sharply during the return to the hometown during the new calendar year or the Obon Festival" and "being a large number of users". In this case, if the electricity cost attribute of each company (power supply category) in Fig. 22 is used as the premise, the Japanese electric power company that is disadvantageous to bulk users will be excluded from the selection. In addition, you can choose according to the new calendar year or Obon period as "Pacific Power Company", the normal month as "Tokai Electric Power Company", and Daiwa Electric Company's particularly cheap month as "Daiwa Electric Power Company".

＜Hardware configuration＞ The hardware configuration of the power cost simulation device of this embodiment will be described using the figure.

Fig. 2 is a diagram showing the hardware configuration of the power cost simulation device of this embodiment. As shown in the figure, the computer consists of a chipset (0210), CPU (central processing unit (0201), non-volatile memory (0203), main memory (0204), and various buses ( 0202a～0202e), BIOS (Basic Input/Output System) (0207), various interfaces (0205, 0206, 0208), and real-time clock (0209), etc. These are coordinated with operating systems, device drivers, various programs, etc. The various programs and various data constituting the present invention are configured to efficiently use the hardware resources to perform various processing. ＜Chipset＞ The "chipset" is installed on the motherboard of the computer and is a large integrated circuit (LSI) component that integrates the external bus of the CPU and the communication function of the standard bus that connects the memory and peripheral devices, that is, the bridge function. There are cases where two chipsets are used, and one chip set is used. The north bridge is arranged on the side close to the CPU or main memory, and the south bridge is arranged on the far side and on the side of the interface with the relatively low-speed external I/O. (North Bridge) The North Bridge includes a CPU interface, a memory controller, and a graphics interface. The CPU can also be responsible for most of the functions of the known North Bridge. The north bridge is connected to the memory slot of the main memory via the memory bus, and the graphics card slot of the graphics card uses the high-speed graphics bus (AGP (Accelerated Graphics Port), PCI Express; Peripheral Component Interconnect Express)) to connect. (South Bridge) The south bridge is connected to the PCI interface (PCI slot) via the PCI bus, and is responsible for the ATA (Advanced Technology Attachment) (SATA (Serial Advanced Technology Attachment)) interface, USB (Universal Serial Bus) interface, Ethernet (Ethernet) interface, etc. The I/O (input and output) function and sound effect function. The so-called assembly support circuits such as PS/2 (Personal System/2) ports, floppy drives, serial ports, parallel ports, and ISA (industry standard structure) buses that do not require high-speed operations or cannot achieve high-speed operations. It becomes an obstacle to the high speed of the chipset itself, so it can be separated from the South Bridge chip and other LSIs called super I/O (super input and output) chips can be responsible. The bus is used to connect the CPU (MPU (microprocessor)) with peripheral devices or various control units. The bus is connected by the chipset. The memory bus used for the connection with the main memory can be replaced by a channel structure in order to achieve high speed. As the bus, serial bus or parallel bus can be used. Compared with the serial bus which transmits data one bit at a time, the parallel bus can combine the original data itself or multiple bits cut from the original data, and simultaneously use multiple communication channels for transmission. The dedicated line of the clock signal is arranged in parallel with the data line to synchronize the data demodulation on the receiving side. It can also be used as a bus to connect the CPU (chipset) and external devices. There are GPIB universal interface bus, IDE (integrated drive electronics)/(parallel) ATA, SCSI (small computer interface), PCI, etc. Due to the limitation of high speed, the data line can also be a serial bus in the improved version of PCI Express of PCI or the improved version of Serial ATA of parallel ATA. ＜CPU＞ The CPU sequentially reads the sequence of instructions called programs on the main memory, interprets and executes them, thereby outputting the information formed by the signals to the main memory in the same way. The CPU functions as the center for computing in the computer. Furthermore, the CPU is composed of the CPU core part that becomes the center of the operation and its peripheral parts. The CPU contains a register, a cache memory, or an internal bus connecting the cache memory and the CPU core, and DMA. (Direct memory access) Controller, timer, and interface with the North Bridge connection bus, etc. Furthermore, the CPU cores can also be provided with a plurality of CPU cores (chips). Moreover, in addition to the CPU, processing can also be performed by a graphics interface (GPU; Graphics Processing Unit) or FPU (Float Point Unit). ＜Non-volatile memory＞ (HDD) The basic structure of a hard disk drive consists of a magnetic disk, a magnetic head, and an arm carrying the magnetic head. The external interface can use SATA (Serial Advanced Technology Attachment) (in the past, ATA). Use high-performance controllers such as SCSI to support communication between hard disk drives. For example, when copying files to other hard disk drives, the controller can read sectors and transfer them to other hard disk drives. At this time, the memory of the host CPU is not accessed. Therefore, it can be performed without increasing the load of the CPU. ＜Main memory＞ The CPU directly accesses and executes various programs on the main memory. The volatile memory of the main memory system can use DRAM (dynamic random access memory). The program on the main memory receives the start command of the program, and is expanded from the non-volatile memory to the main memory. After that, the CPU executes the program in accordance with various execution commands or execution sequences in the program. <Operating System (OS)> The operating system is used to manage the resources on the computer for applications to use, or to manage various device drives, or to manage the computer itself as hardware. In small computers, there are also situations where firmware is used as an operating system. <BIOS> BIOS (Basic Input Output System; Basic Input Output System) is the one that enables the CPU to execute the program used to start the computer's hardware to make the operating system run. The most typical one is that the CPU will read it first if it accepts the computer's startup command Hardware. The address of the operating system stored on the disk (non-volatile memory) is recorded here, and the operating system becomes operational by sequentially expanding the BIOS of the CPU to the main memory. Furthermore, the BIOS also has a check function to check the existence of various devices connected to the bus. The result of the inspection is kept in the main memory and becomes available in the operating system as appropriate. Furthermore, the BIOS can be constructed by checking external devices, etc.

The above is the same in other embodiments.

Here, the "main memory" reads out the "CPU" to execute various processing programs, and at the same time provides a work area that is also the work area of the program. In addition, a plurality of addresses are allocated to the "main memory" or "HDD" respectively, and the programs executed by the "CPU" can mutually perform data replacement by specifying the address and accessing it. deal with. In this embodiment, the programs stored in the "main memory" are the power consumption attribute acquisition program, the power cost attribute acquisition program, the simulation period acquisition program, the power cost simulation calculation formula retention program, and the selection program. In addition, power consumption attributes, power cost attributes, simulation period, and power cost simulation calculation formulas are stored in the "main memory" and "HDD".

The "CPU" executes the power consumption attribute acquisition program stored in the "main memory", and obtains the power consumption attribute from the user terminal device through the "network, interface". Then, execute the power cost attribute acquisition program stored in the "main memory", and obtain the power cost attribute from the user terminal device through the "network, interface". Then, execute the simulation period acquisition program stored in the "main memory" to obtain the simulation period as the simulation period. Then, execute the selection program stored in the "main memory", and according to the obtained power consumption attributes and the retained power cost simulation calculation formula, during the simulation period, select the lowest power cost among the multiple power supply categories in a time series The power supply category.

＜Processing process＞ Fig. 3 is a diagram showing the flow of processing in the case of using the power cost simulation device of this embodiment. As shown in FIG. 3, it consists of the power consumption attribute acquisition step (S0301), the power cost attribute acquisition step (S0302), the simulation period acquisition step (S0303), the power cost simulation calculation formula acquisition step (S0304), and the selection step (S0305). ) Constitute the processing method.

The so-called "steps for obtaining power consumption attributes" is the stage of obtaining the power consumption attributes of the power demander.

The so-called "electricity cost attribute acquisition step" is the stage of acquiring individual electricity cost attributes for each power supply category.

The "simulation period acquisition step" is to acquire the stage of the simulation period which is the simulation period described later.

The so-called "electricity cost simulation calculation formula acquisition step" is the stage of obtaining the power cost simulation calculation formula, and the power cost simulation calculation formula is used for each of the plurality of power supply categories, according to the power consumption attribute and power supply of the demander The power cost attribute specified by the category, and the calculation formula of the individual power cost of each power supply category is simulated according to the time series during the simulation period.

The so-called "selection step" is based on the acquired power consumption attributes and the maintained power cost simulation calculation formula, and during the simulation period, the power supply type with the lowest power cost amount is selected according to the time series.

<Summary> Based on the above, it is possible to provide a power cost simulation device that can realize a business model of selling power at the same price as the consideration for the power supply category that is best for the supplier receiving power. [Embodiment 2]

This embodiment provides an electric power cost simulation device that, in addition to the features of Embodiment 1, also calculates the power cost in the case of power consumption during the simulation period according to the selection of the power supply type selected in the time series, and outputs As the result of calculation, the power cost simulation result is selected.

Hereinafter, regarding the power cost simulation device of this embodiment, the functional configuration, hardware configuration, and processing flow will be described in order.

＜Functional structure＞ Fig. 4 is a diagram showing the functional configuration of the power cost simulation device of the present embodiment. The power cost simulation device of this embodiment has a power consumption attribute acquisition unit (0401), a power cost attribute acquisition unit (0402), a simulation period acquisition unit (0403), a power cost simulation calculation formula holding unit (0404), and a selection unit ( 0405), the power cost calculation unit (0406), and the selected power cost simulation result output unit (0407). The following describes the specific content of each function. In addition, the functions other than the power cost calculation unit and the selected power cost simulation result output unit are the same as in Embodiment 1, so they are limited to the functions of the power cost calculation unit and the selected power cost simulation result output unit. Description.

The so-called "power cost calculation unit" has the function of calculating the power cost in the case of power consumption during the simulation period in accordance with the selection of the power supply type selected in the time series in the selection unit. The so-called "electricity cost" is the consideration that should be paid for the consumption of electricity, usually expressed in monetary units. However, it is not limited to money, and can also be converted into points that have value as electronic money in circulation or securities in circulation. For example, as the points, the points issued by each power supply category can be cited. In addition, the cost of electricity can either be calculated based on the electricity consumption predicted by the electricity consumption attribute during the simulation period for the electricity demander, or the electricity consumption predicted according to the electricity consumption attribute Calculate the electricity cost per unit of electricity consumption based on its electricity consumption. In addition, the calculated electricity cost can also be the one that divides the simulation period into a plurality of sub-periods and calculates the result in units of sub-periods. In addition, the power cost can also be the representative value of the power cost attribute or power consumption attribute used to calculate the power cost, or in one example, it can be a dynamic function such as changing these values and immediately displaying and re-simulating The cost of electricity. That is, it is configured to temporarily display a graph of the power cost, but the value used as the power cost attribute or power consumption attribute is displayed on the display, etc., and can be changed by the power demander or the manager of the power cost simulation device The value displayed on the display can be configured such that if the recalculate button is pressed after the change, the new calculation will be performed immediately and the graph will dynamically change. Therefore, it can be configured that the calculation result itself is a dynamic function that accepts the change of the variable, and the calculation unit has a dynamic function type calculation result calculation means.

The "selected power cost simulation result output unit" has the function of outputting the selected power cost simulation result as the calculation result of the power cost calculation unit. It may be configured such that the output is output to a non-volatile memory or main memory and then displayed on a display, or output to a terminal that communicates with the power cost simulation device via a network. In addition, it may be configured to be printed on paper or the like from a listing machine or a photocopier and output. Also, it may be configured to be output simultaneously in a plurality of output formats. For example, it is configured to be output as a web page for viewing via the Internet, and it can also be configured to be viewed by a terminal used by electricity demanders such as e-mail or SNS (social network service) . Of course, it can also be output by sound effects. In addition, the power cost simulation result after selection includes not only the cost of monetary units, etc., but also information to specify the power supply type selected in each period of the simulation, or the reason for the power supply type selected, or even other options Comparison of power supply types, etc. In addition, it may also include conditions predicted when the electricity cost simulation is performed (a forecast of changes in fuel prices such as crude oil prices, and a forecast of changes in exchange rates). Furthermore, when the output is performed via a web page or the like, it is possible to operate and change the variables of the power cost attribute and the power consumption attribute on the web page, and the result of the change can also be dynamically viewed.

Fig. 23 is a diagram showing an example of the output content of the simulation result. In this example, although the electricity bill in the past year is "26.05 million yen", if the electricity cost is consumed during the simulation period based on the selection of the power supply type selected in time series by the selection unit, then One year is "20.58 million yen". In this example, it is obvious that the electricity cost of "5.47 million yen" can be reduced in one year.

＜Hardware configuration＞ Fig. 5 is a diagram showing the hardware configuration of the power cost simulation device of this embodiment. As shown in the figure, the computer consists of a chipset (0510), CPU (0501), non-volatile memory (0503), main memory (0504), and various buses (0502a～0502e) which are formed on the motherboard. , BIOS (0507), various interfaces (0505, 0506, 0508), and real-time clock (0509). These work in coordination with the operating system, device drivers, various programs, etc. The various programs and various data constituting the present invention are constituted to efficiently use the hardware resources to execute various processing.

Here, the "main memory" reads out the "CPU" to execute various processing programs, and at the same time provides a work area that is also the work area of the program. In addition, multiple addresses are allocated to the "main memory" or "HDD", and the programs executed by the "CPU" can mutually perform data replacement by specifying the addresses and accessing them. deal with. In this embodiment, the programs stored in the "main memory" are the power consumption attribute acquisition program, the power cost attribute acquisition program, the simulation period acquisition program, the power cost simulation calculation formula holding program, the selection program, and the electricity cost calculation program. , And output program of power cost simulation results after selection.

Also, in the "main memory" and "HDD", similar to the first embodiment, power consumption attributes, power cost attributes, simulation periods, and power cost simulation calculation formulas are stored. In addition, in this embodiment, the power cost and the power cost simulation result after selection are stored.

The "CPU" executes the power consumption attribute acquisition program stored in the "main memory", and obtains the power consumption attribute from the user terminal device through the "network, interface". Then, execute the electricity cost attribute acquisition program stored in the "main memory", and obtain the electricity cost attribute from the user terminal device through the "network, interface". Then, execute the simulation period acquisition program stored in the "main memory" to obtain the simulation period as the simulation period. Then, execute the selection program stored in the "main memory", and according to the obtained power consumption attributes and the retained power cost simulation calculation formula, during the simulation period, select the lowest power cost among the multiple power supply categories in a time series The power supply category. Then, execute the electricity cost calculation program stored in the "main memory", and calculate the electricity cost when the electricity is consumed during the simulation period according to the selection of the power supply type selected in the time series. Then, the post-selection power cost simulation result output program stored in the "main memory" is executed, and the post-selection power cost simulation result is output as the calculation result of the power cost calculation unit.

＜Processing process＞ FIG. 6 is a diagram showing the flow of processing in the case of using the power cost simulation device of this embodiment. As shown in Figure 6, it is a processing method that includes a power consumption attribute acquisition step (S0601), a power cost attribute acquisition step (S0602), a simulation period acquisition step (S0603), a power cost simulation calculation formula acquisition step (S0604), The selection step (S0605), the power cost calculation step (S0606), and the selected power cost simulation result output step (S0607) are constituted. In addition, the steps except for the power cost calculation step and the selected power cost simulation result output step are the same as in the first embodiment. Hereinafter, the power cost calculation step and the selected power cost simulation result output step will be described.

The so-called "power cost calculation step" is a stage in which the power cost during the simulation period is calculated based on the selection of the power supply type selected in the time series in the selection step.

The so-called "power cost calculation step" is a stage where the power cost simulation result is output after the selection of the calculation result of the power cost calculation step.

<Summary> Thereby, it is possible to provide a power cost simulation device that can output the simulation result of the power cost when the power supply type with the lowest power cost amount is selected. [Embodiment 3]

This embodiment provides a power cost simulation device configured to compare and output power cost simulation results calculated for a plurality of power supply types in addition to the features of Embodiment 1 or Embodiment 2.

Hereinafter, regarding the power cost simulation device of this embodiment, the functional configuration, hardware configuration, and processing flow will be described in order.

＜Functional structure＞ Fig. 7 is a diagram showing the functional configuration of the power cost simulation device of this embodiment. The power cost simulation device of this embodiment has a power consumption attribute acquisition unit (0701), a power cost attribute acquisition unit (0702), a simulation period acquisition unit (0703), a power cost simulation calculation formula holding unit (0704), and a selection unit ( 0705), the power cost calculation unit (0706), and the power cost simulation result comparison output unit (0707). Hereinafter, the content of each function will be described in detail. In addition, since the functions other than the power cost simulation result comparison output unit are the same as in the first embodiment, the description is limited to the functions of the power cost simulation result comparison output unit.

The so-called "power cost simulation result comparison output unit" is one that can compare and output the power cost simulation results calculated on multiple power supply types. For example, it is the one who performs the output as shown in Figure 14. In this figure, the cost of each of Pacific Electric Power Company, Tokai Electric Power Company, Japan Electric Power Company, and Yamato Electric Power Company is shown for each month. By calculating the electricity cost for a plurality of power supply categories in the same period and outputting them for comparison, the power supply categories can be compared with each other from the cost side. It can also be configured to have an "power cost simulation calculation unit", and thereby it is configured to calculate the power cost of several types of power supply in the same period. For example, in the same month, calculate the cost of each of Pacific Power Company, Tokai Electric Power Company, Japan Electric Power Company, and Yamato Electric Power Company as described above. The calculation is based on the power supply attribute of each power supply category, the power consumption attribute of the power demander, and the power cost simulation formula of each power supply category. There is also a possibility that it is configured to have an "power cost acquisition unit" and that the function of the power cost simulation calculation unit is performed outside the power cost simulation device. It can also be configured that the electricity cost acquisition unit obtains the accumulated electricity costs of each power supply category in the same period, and transmits them to the aforementioned electricity cost simulation result comparison output unit. Preferably, it is configured to have a "display unit". The display unit may represent the power cost of each power supply category to be compared with a numerical value and display it in the form of a graph, or it may be configured to display the numerical value as a graph. Furthermore, it is better to display it in a way that easily distinguishes the electricity cost of the lowest cost electricity supply category from other electricity costs from the comparison results of the multiple electricity supply categories at the same time. For easy identification, it can be realized by expressing the lowest power cost value in bold letters or in different colors. In addition, it can also be configured to display the power supply type by placing indicators such as a cursor on the graph. Furthermore, as a way of displaying the comparison result, there is also the possibility of being configured to display the power cost of the same power supply category in different simulation periods. For example, there is a situation where the charging strategy of the electricity supplier (power supply category) will be changed during the period of suspension of operation of the power plant and the period of the re-operation of the suspended power plant, and the policy can be changed before and after Make comparisons, etc.

＜Hardware configuration＞ Fig. 8 is a diagram showing the hardware configuration of the power cost simulation device of this embodiment. As shown in the figure, the computer consists of a chipset (0810), CPU (0801), non-volatile memory (0803), main memory (0804), and various buses (0802a～0802e) which are formed on the motherboard. , BIOS (0807), various interfaces (0805, 0806, 0808), and real-time clock (0809). These work in coordination with the operating system, device drivers, various programs, etc. The various programs and various data constituting the present invention are constituted to efficiently use the hardware resources to execute various processing.

Here, the "main memory" reads out the "CPU" to execute various processing programs, and at the same time provides a work area that is also the work area of the program. In addition, a plurality of addresses are allocated to the "main memory" or "HDD", and the programs executed by the "CPU" can be accessed by specifying the address to exchange data mutually for processing . In this embodiment, the programs stored in the "main memory" are power consumption attribute acquisition programs, power cost attribute acquisition programs, simulation period acquisition programs, power cost simulation calculation formula maintenance programs, selection programs, and power cost simulation The result is compared to the output program.

Also, in the "main memory" and "HDD", similar to the first embodiment, power consumption attributes, power cost attributes, simulation periods, and power cost simulation calculation formulas are stored. In addition, in this embodiment, power cost simulation results are stored.

The "CPU" executes the power consumption attribute acquisition program stored in the "main memory", and obtains the power consumption attribute from the user terminal device through the "network, interface". Then, execute the power cost attribute acquisition program stored in the "main memory", and obtain the power cost attribute from the user terminal device through the "network, interface". Then, execute the simulation period acquisition program stored in the "main memory" to obtain the simulation period as the simulation period. Then, execute the selection program stored in the "main memory", and according to the obtained power consumption attributes and the retained power cost simulation calculation formula, during the simulation period, select the lowest power cost among the multiple power supply categories in a time series The power supply category. Then, the power cost simulation result comparison output program stored in the "main memory" is executed, and the power cost simulation results calculated for multiple power supply types can be compared and output.

＜Processing process＞ FIG. 9 is a diagram showing the flow of processing in the case of using the power cost simulation device of this embodiment. As shown in FIG. 9, it is a processing method that includes the power consumption attribute acquisition step (S0901), the power cost attribute acquisition step (S0902), the simulation period acquisition step (S0903), the power cost simulation calculation formula acquisition step (S0904), The selection step (S0905) and the power cost simulation result comparison output step (S0906) are constituted. In addition, the steps other than the selection step and the comparison output step of the power cost simulation result are the same as the first embodiment. Hereinafter, the comparison output of power cost simulation results will be described.

The so-called "comparative output of power cost simulation results" is a stage in which the power cost simulation results calculated for multiple power supply types can be compared and output. In addition to the function of selecting the power supply category with the lowest electricity cost among the multiple power supply categories, the "selection step" also has the function of performing the step of selecting two or more power supply categories from the multiple power supply categories. It can be configured that by selecting the plurality of power supply types, the aforementioned power cost obtaining unit executes the step of obtaining each power cost, or it executes the obtaining step of obtaining the power cost of the power supply type from an external accumulation unit or the like.

<Summary> Thereby, it is possible to provide a power cost simulation device that can compare the simulation results of the power cost for a plurality of power supply categories by the demander. [Embodiment 4]

This embodiment provides a business continuity grading system, which is structured such that in addition to the features of Embodiment 2 and Embodiment 3, the power cost simulation results calculated for more than one power supply category, and the power cost simulation after selection The results can be output for comparison.

Hereinafter, regarding the power cost simulation device in the present embodiment, the functional configuration, hardware configuration, and processing flow will be described in order.

＜Functional structure＞ Fig. 10 is a diagram showing the functional configuration of the power cost simulation device of the present embodiment. The power cost simulation device of this embodiment has a power consumption attribute acquisition unit (1001), a power cost attribute acquisition unit (1002), a simulation period acquisition unit (1003), a power cost simulation calculation formula holding unit (1004), and a selection unit ( 1005), power cost calculation unit (1006), selected power cost simulation result output unit (1007), and selected power cost simulation result comparison output unit (1008). Hereinafter, the content of each function will be described in detail. In addition, since the functions other than the selected power cost simulation result comparison output unit are the same as the second embodiment, the description will be limited to the functions of the selected power cost simulation result comparison output unit.

The so-called "selected power cost simulation result comparison output unit" has the function of comparing and outputting the power cost simulation result calculated for more than one power supply type and the power cost simulation result after selection.

＜Hardware configuration＞ FIG. 11 is a diagram showing the hardware configuration of the power cost simulation device of this embodiment. As shown in the figure, the computer consists of a chipset (1110), CPU (1101), non-volatile memory (1103), main memory (1104), and various buses (1102a~1102e) which are formed on the motherboard. , BIOS (1107), various interfaces (1105, 1106, 1108), and real-time clock (1109). These work in coordination with the operating system, device drivers, various programs, etc. The various programs and various data constituting the present invention are constituted to efficiently use the hardware resources to execute various processing.

Here, the "main memory" reads out the "CPU" to execute various processing programs, and at the same time provides a work area that is also the work area of the program. In addition, a plurality of addresses are allocated to the "main memory" or "HDD", and the programs executed by the "CPU" can be accessed by specifying the address to exchange data mutually for processing . In this embodiment, the programs stored in the "main memory" are the power consumption attribute acquisition program, the power cost attribute acquisition program, the simulation period acquisition program, the power cost simulation calculation formula holding program, the selection program, and the electricity cost calculation program. , After selection, the output program of power cost simulation results, and the output program for comparison of power cost simulation results after selection.

In addition, in the "main memory" and "HDD", similar to the second embodiment, power consumption attributes, power cost attributes, simulation period, power cost simulation calculation formula, power cost and power cost simulation results after selection, etc. are stored. In addition, in this embodiment, power cost simulation results are stored.

The "CPU" executes the power consumption attribute acquisition program stored in the "main memory", and obtains the power consumption attribute from the user terminal device through the "network, interface". Then, execute the power cost attribute acquisition program stored in the "main memory", and obtain the power cost attribute from the user terminal device through the "network, interface". Then, execute the simulation period acquisition program stored in the "main memory" to obtain the simulation period as the simulation period. Then, execute the selection program stored in the "main memory", and according to the obtained power consumption attributes and the retained power cost simulation calculation formula, during the simulation period, select the lowest power cost among the multiple power supply categories in a time series The power supply category. Then, execute the electricity cost calculation program stored in the "main memory", and calculate the electricity cost when the electricity is consumed during the simulation period according to the selection of the power supply type selected in the time series. Then, execute the selected power cost simulation result output program stored in the "main memory", and output the selected power cost simulation result as the calculation result of the power cost calculation unit. In addition, execute the selected power cost simulation result comparison output program stored in the "main memory", and compare the power cost simulation results calculated for more than one power supply category and the selected power cost simulation results Output.

＜Processing process＞ FIG. 12 is a diagram showing the flow of processing in the case of using the power cost simulation device of this embodiment. As shown in FIG. 12, it is a processing method that includes a power consumption attribute acquisition step (S1201), a power cost attribute acquisition step (S1202), a simulation period acquisition step (S1203), a power cost simulation calculation formula acquisition step (S1204), The selection step (S1205), the power cost calculation step (S1206), the selected power cost simulation result output step (S1207), and the selected power cost simulation result comparison output step (S1208) are constituted. In addition, the steps except for the comparison output step of the selected power cost simulation result are the same as the first embodiment. Hereinafter, the comparison output procedure of the power cost simulation result after selection will be described.

The so-called "selected power cost simulation result comparison output step" is a stage in which the power cost simulation results calculated for more than one power supply category and the selected power cost simulation results can be compared and output.

<Summary> Thereby, it is possible to provide a power cost simulation device that can compare and output the power cost simulation result when the power supply type with the lowest power cost is selected and the power cost simulation results of other power supply types. [Embodiment 5]

This embodiment provides an electricity cost calculation device that obtains the power consumption of the power demander, the individual power cost attributes of each power supply category, and the electricity cost calculation period that is the period of the electricity cost calculation described later, and maintains the power cost calculation formula, and According to electricity consumption, electricity cost attributes and electricity cost calculation formulas, the electricity cost calculation formula is used to select the power supply type with the lowest electricity cost among the plurality of power supply categories according to the time series during the electricity tariff calculation period. For each of the plurality of power supply categories, the calculation formula for calculating the power cost of each power supply category according to the electricity cost attributes specified by the demander's power consumption and the power supply category according to the time sequence during the electricity bill calculation period.

Hereinafter, regarding the electricity bill calculation device of this embodiment, the functional configuration, hardware configuration, and processing flow will be described in order. The definitions of "power supply type" and "power cost attribute" are the same as those described in the first embodiment.

＜Functional structure＞ The electricity rate calculation device of this embodiment has a power consumption amount acquisition unit (2501), an electricity cost attribute acquisition unit (2502), an electricity rate calculation period acquisition period acquisition unit (2503), an electricity cost calculation formula holding unit (2504), and Selection section (2505). Hereinafter, regarding the functional configuration, the content of each function will be specifically described.

The so-called "power consumption acquisition unit" has the function of acquiring the power consumption attributes of the power demander. The so-called "power consumption" refers to the actual power consumption in the time series. The time series includes, for example, year, month, week, etc.

The "power cost attribute acquisition unit" is the same as the description of the first embodiment.

The so-called "Electricity Charge Calculation Period Acquisition Unit" has the function of acquiring the electricity charge calculation period as the period of electricity charge calculation. The smallest unit of the electricity bill calculation period is the demand period, which is established by the collection of multiple demand periods. That is, the start time and end time of the simulation period are the start time of the demand period, and similarly, the end time is the end time of the demand period.

The so-called "power cost calculation formula holding unit" has the function of maintaining the power cost calculation formula. The power cost calculation formula is used for each of the plurality of power supply categories, according to the power consumption and power supply category of the demander According to the specified electricity cost attribute, the calculation formula for calculating the individual electricity cost of each power supply category according to the time series during the electricity bill calculation period.

The so-called "selection unit" of this embodiment has a calculation formula based on the acquired power consumption, the acquired power cost attribute, and the maintained power cost calculation formula, and a plurality of power supply categories are selected in a time series during the electricity bill calculation period The function of the power supply category with the lowest electricity cost. The minimum period unit for selecting the power supply category is the demand period. Since the demand period is as described above, it can be designed to select the power supply category at 30-minute intervals when it is most frequent. However, it is not limited to this, and a period of a natural multiple of 30 minutes can be selected as the time period during which the power supply type can be switched. The part that does not need to follow the actual rules of switching by the electrical business is the feature of the device. In addition, the switching period of the power supply type may be configured to select the update period. In this case, there is a possibility that the selection unit may set the selection means during the update.

In addition, the electrical charge calculation device may further have an electricity charge calculation unit, which performs the calculation of the power demander during the electricity charge calculation period based on the selection result of the selection part and the power supply attribute of the selected power supply category Calculation of electricity bills.

As mentioned above, the basic idea of selecting the power supply category with the lowest amount of the multiple power supply categories for each time series is the same as that of the first embodiment, but it is not a simulation of prediction, but is selected based on the actual power consumption. The part where the electricity fee is charged for the electricity supply category with the lowest amount of money in each time series is different from that in the first embodiment.

＜Hardware configuration＞ The hardware configuration of the electricity rate calculation device of this embodiment will be described below.

The computer of this embodiment consists of a chipset (2510), CPU (2501), non-volatile memory (2503), main memory (2504), various buses (2502a～2502e), BIOS (2507), various interfaces (2505, 2506, 2508), and real-time clock (2509). These work in coordination with the operating system, device drivers, various programs, etc. The various programs and various data constituting the present invention are configured to efficiently use the hardware resources to execute various processing.

Here, the "main memory" reads out the "CPU" to execute various processing programs, and at the same time provides a work area that is also the work area of the program. In addition, a plurality of addresses are allocated to the "main memory" or "HDD", and the programs executed by the "CPU" can be accessed by specifying the address to exchange data mutually for processing . In this embodiment, the programs stored in the "main memory" are the power consumption acquisition program, the power cost attribute acquisition program, the electricity fee calculation period acquisition program, the power cost calculation formula retention program, and the selection program. In addition, the "main memory" and "HDD" store electricity consumption, electricity cost attributes, electricity bill calculation period, and electricity cost calculation formulas.

The "CPU" executes the power consumption acquisition program stored in the "main memory", and obtains the power consumption from the user terminal device through the "network, interface". Then, execute the power cost attribute acquisition program stored in the "main memory", and obtain the power cost attribute from the user terminal device through the "network, interface". Then, execute the electricity bill calculation period acquisition program stored in the "main memory" to obtain the electricity bill calculation period. Then, execute the selection program stored in the "main memory", and calculate the calculation formula based on the obtained power consumption and the retained power cost, and select the power cost of multiple power supply categories in a time series during the power calculation period The power supply category with the lowest amount.

＜Processing process＞ As shown in Fig. 3, it consists of the power consumption acquisition step (S2701), the power cost attribute acquisition step (S2702), the electricity rate calculation period acquisition step (S2703), the power cost calculation formula acquisition step (S2704), and the selection step ( S2705) constitute the processing method.

The so-called "steps for obtaining power consumption" refers to the stage of obtaining the power consumption of the power demander.

The so-called "electricity cost attribute acquisition step" is the stage of obtaining the individual electricity cost attribute of each power supply category.

The so-called "steps for obtaining electricity bill calculation period" refers to the stage of obtaining the electricity bill calculation period as the period of electricity bill calculation.

The so-called "power cost calculation formula obtaining step" is the stage of obtaining the power cost calculation formula. The power cost calculation formula is used for each of the multiple power supply categories, according to the power consumption and power supply category of the demander According to the specified electricity cost attribute, the calculation formula for calculating the individual electricity cost of each power supply category according to the time series during the electricity tariff calculation period.

The so-called "selection step" is based on the obtained power consumption and the retained power cost calculation formula, and during the electricity bill calculation period, the power supply category with the lowest power cost amount is selected according to the time series.

<Summary> According to the above, it is possible to provide an electricity bill calculation device that can realize a business model of selling electricity at the same price as the consideration of the best power supply category for the supplier receiving the electricity.

＜Other embodiments＞ It can also replace the above and be the following equipment operation plan support device, which further has: an equipment operation operation period holding section that holds the equipment operation operation period of equipment that is composed of a plurality of unit time lengths and is operated by energy consumption; The basic equipment operation quantity retention unit, which maintains the basic equipment operation quantity during the equipment operation calculation period as the basic equipment operation quantity in the unit of length of time; the consumption energy unit price acquisition unit, which acquires the equipment operation plan period as the unit time The length is the unit price of the consumed energy of the unit price of the consumed energy; the negative watt request obtaining part, which obtains the negative watt request; the negative watt equipment operation plan amount calculation formula holding part, which holds more than one negative watt equipment operation plan calculation formula, the Negative watt equipment operation plan calculation formula is used to edit or change the basic equipment operation amount according to the negative watt request (it is also possible to plan and formulate the equipment operation plan completely without editing or modification) to recalculate the equipment operation plan amount ; Negative watt equipment operation plan calculation unit, which uses the equipment of each unit time during the equipment operation plan period based on the acquired energy consumption unit price, the acquired negative watt request, and the maintained negative watt equipment operation plan calculation formula The sum of the product of the operating volume and the obtained energy consumption unit price will be less than that of the basic equipment operating volume, and the negative watt requirement will be met, and the total equipment operating volume (or total energy consumption) will be within a predetermined range In a way that will not be lower than the basic equipment operation volume (or the total energy consumption corresponding to the basic equipment operation volume), use the negative watt equipment operation plan calculation formula to calculate the equipment operation plan amount for each unit time during the equipment operation plan period. In addition, it may also be the following equipment operation plan support device, which has: a power consumption attribute acquisition unit that acquires the power consumption attributes of the power demander; and a power cost attribute acquisition unit that acquires individual power cost attributes for each power supply category; The equipment operation period holding part, which holds the equipment that is composed of a plurality of unit time lengths and is operated by energy consumption during the equipment operation calculation period; the basic equipment operation amount holding part, which holds the equipment operation period as the unit The basic equipment operating volume of the basic equipment operating volume in the unit of length of time; the energy consumption unit price acquisition part, which for each energy supply category, obtains the unit price of energy consumption in the unit of time length during the equipment operation plan period Consumed energy unit price; the negative watt request obtaining part, which obtains the negative watt request; the negative watt equipment operation plan amount calculation formula holding part, which holds more than one negative watt equipment operation plan calculation for calculating the equipment operation plan amount according to the negative watt request Formula; and the negative watt equipment operation plan calculation unit, which selects the calculation formula based on the individual energy consumption unit price obtained for each energy supply category, the obtained negative watt request, and the maintained negative watt equipment operation plan calculation formula During the period of the equipment operation plan, the sum of the product of the equipment operation volume per unit time and the obtained energy consumption unit price will be reduced compared to the case of operation with the basic equipment operation volume, and the power supply category will meet the negative watt request and the total The equipment operation volume (or total energy consumption) is not lower than the basic equipment operation volume (or the total energy consumption corresponding to the basic equipment operation volume) within a predetermined range, using the negative watt equipment operation plan calculation formula to calculate the equipment operation The amount of equipment operation plan for each unit of time during the plan period.

0100: Power Cost Simulator 0101,0401,0701,1001: Power consumption attribute acquisition department 0102,0402,0702,1002: Electricity cost attribute acquisition department 0103,0403,0703,1003: Acquisition during simulation period 0104, 0404, 0704, 1004: Power cost simulation calculation formula holding unit 0105,0405,0705,1005: selection department 0400: Power Cost Simulator 0406, 0706, 1006: Power Cost Calculation Department 0700: Electricity Cost Simulator 0707: Power cost simulation result comparison output unit 0801,1101: CPU 1000: Power cost simulator 1007: Output section of power cost simulation results after selection 0210,0510,0810,1110: chipset 0201,0501: CPU 0203,0503,0803,1103: non-volatile memory 0204,0504,0804,1104: main memory 0202a～0202e, 0502a～0502e, 0802a～0802e, 1102a～1102e: various busbars 0207, 0507, 0807, 1107: BIOS 0205,0206,0208,0505,0506,0508,0805,0806,0808,1105,1106,1108: various interfaces 0209, 0509, 0809, 1109: real-time clock

Fig. 1 is a diagram showing the functional configuration of the power cost simulation device of the first embodiment. Fig. 2 is a diagram showing the hardware configuration of the power cost simulation device of the first embodiment. Fig. 3 is a diagram showing the flow of processing in the case of using the power cost simulation device of the first embodiment. Fig. 4 is a diagram showing the functional configuration of the power cost simulation device of the second embodiment. Fig. 5 is a diagram showing the hardware configuration of the power cost simulation device of the second embodiment. Fig. 6 is a diagram showing the flow of processing in the case of using the power cost simulation device of the second embodiment. Fig. 7 is a diagram showing the functional configuration of the power cost simulation device of the third embodiment. Fig. 8 is a diagram showing the hardware configuration of the power cost simulation device of the third embodiment. FIG. 9 is a diagram showing the flow of processing when the power cost simulation device of the third embodiment is used. Fig. 10 is a diagram showing the functional configuration of the power cost simulation device of the fourth embodiment. Fig. 11 is a diagram showing the hardware configuration of the power cost simulation device of the fourth embodiment. Fig. 12 is a diagram showing the flow of processing in the case of using the power cost simulation device of the fourth embodiment. Fig. 13 is a diagram showing an example of power cost attributes of different power suppliers in relation to power demanders. FIG. 14 is a diagram showing an example of the selection content in the selection part as a graph. Figure 15 is a graph showing the comparison of the electricity cost of the selected power supply category with the ABC coffee chain using the Pacific Power Company as an example. Fig. 16 is a diagram showing the overall view of this embodiment. Fig. 17 is a diagram showing an example of a situation in which the power supply category judged to be the lowest in the power cost is selected based on the power consumption attribute and the power cost attribute, taking the ABC coffee chain as an example. Fig. 18 is a diagram showing an example of a screen in a case where the attribute of power consumption is input in the pull-down menu. FIG. 19 is a diagram showing an example of the selection of "available power supply category" as an option among many existing power supply companies. Fig. 20 is a diagram showing an example of power consumption attributes. Fig. 21 is a diagram showing an example of the electricity cost (yen/kw) incurred by four power supply companies for a specific power demander according to the power consumption attributes of the specific power demander. Figure 22 is a diagram showing the specific electricity cost attributes of the four companies of Pacific Power Company, Tokai Electric Power Company, Japan Electric Power Company, and Yamato Electric Power Company. Fig. 23 is a diagram showing an example of the output content of the simulation result.

0100: Power Cost Simulator

0101: Power consumption attribute acquisition department

0102: Electricity Cost Attribute Acquisition Department

0103: Acquisition part during simulation

0104: Power cost simulation calculation formula holding section

0105: Selection Department

Claims (19)

An electric power cost simulation device, which has: Power consumption attribute acquisition department, which acquires the power consumption attributes of the power demander; Electricity cost attribute acquisition unit, which acquires individual electricity cost attributes for each power supply category; The simulation period acquisition section, which acquires the simulation period as the simulation period described later; The power cost simulation calculation formula holding part, which holds the power cost simulation calculation formula, and the power cost simulation calculation formula is used for each of a plurality of power supply categories, according to the power consumption attribute and power supply category of the demander. Cost attributes, and the individual electricity costs of each power supply category are simulated in a time series during the simulation period; and The selection part, which selects the power supply category with the lowest power cost amount among the multiple power supply categories according to the time series during the simulation period based on the acquired power consumption attributes, the acquired power cost attributes, and the maintained power cost simulation calculation formula . For example, the power cost simulation device of claim 1, which further includes: The electricity cost calculation unit, which calculates the electricity cost when the electricity is consumed during the simulation period according to the selection of the power supply type selected in the time series by the selection unit; and The post-selection power cost simulation result output unit outputs the post-selection power cost simulation result as the calculation result performed by the power cost calculation unit. For example, the power cost simulation device of claim 1 or 2, wherein it is further provided with a power cost simulation result comparison output unit, and the power cost simulation result comparison output unit will select a plurality of different simulation periods in the same period The power cost simulation result calculated from the result of the power supply category can be compared and output. For example, the power cost simulation device attached only to claim 3 of claim 2, wherein it further has a selected power cost simulation result comparison output unit, and the selected power cost simulation result comparison output unit will supply power to more than one The power cost simulation result calculated by the category and the power cost simulation result after selection can be compared and output. An operation method of a power cost simulation device, which has: The power consumption attribute obtaining step, which obtains the power consumption attribute of the power demander; Electricity cost attribute obtaining step, which obtains individual electric power cost attributes for each power supply category; The simulation period obtaining step, which obtains the simulation period as the simulation period described later; The step of obtaining the power cost simulation calculation formula is to obtain the power cost simulation calculation formula, and the power cost simulation calculation formula is used for each of the plurality of power supply categories, according to the power consumption attribute of the demander and the power cost specified by the power supply category Attribute, and the individual electricity cost of each power supply category is simulated in a time series during the simulation period; and The selection step is based on the acquired power consumption attributes, the acquired power cost attributes, and the acquired power cost simulation calculation formula, and during the simulation period, the power supply category with the lowest power cost amount is selected according to the time series. . For example, the action method of the power cost simulation device of claim 5, which further includes: The power cost calculation step, which calculates the power cost when the power is consumed during the simulation period according to the selection of the power supply type in the time series in the selection step; and The post-selection power cost simulation result output step, whose output is used as the post-selected power cost simulation result of the calculation result performed in the power cost calculation step. For example, the operation method of the power cost simulation device of claim 5 or 6, wherein it is further provided with a power cost simulation result comparison output step, and the power cost simulation result comparison output step is to calculate power for a plurality of power supply categories The cost simulation results can be compared and output. For example, the action method of claim 6 or the power cost simulation device of claim 7 only attached to claim 6, wherein it further has a step of comparing and outputting the power cost simulation results after selection, The selected power cost simulation result comparison output step is to compare the power cost simulation results calculated for more than one power supply category and the selected power cost simulation results. A power cost simulation program described in the device that can be read and executed by a computer, that is, a power cost simulation device, and has: The power consumption attribute obtaining step, which obtains the power consumption attribute of the power demander; Electricity cost attribute obtaining step, which obtains individual electric power cost attributes for each power supply category; The simulation period obtaining step, which obtains the simulation period as the simulation period described later; The power cost simulation calculation formula obtaining step is to obtain the power cost simulation calculation formula, and the power cost simulation calculation formula is used for each of a plurality of power supply categories, according to the power consumption attribute and power supply category of the demander. Cost attributes, and the individual electricity costs of each power supply category are simulated in a time series during the simulation period; and The selection step is based on the acquired power consumption attributes, the acquired power cost attributes, and the acquired power cost simulation calculation formula, and during the simulation period, the power supply category with the lowest power cost amount is selected according to the time series. . For example, the power cost simulation program described in the device that can be read and executed by the computer, ie, the power cost simulation device of claim 9, is used to further perform the following steps: The electricity cost calculation step, which calculates the electricity cost when the electricity is consumed during the simulation period according to the selection of the power supply type in the time series in the selection step; and The post-selection power cost simulation result output step, whose output is used as the post-selected power cost simulation result of the calculation result performed in the power cost calculation step. For example, the request item 9 or 10 can be read and executed by a computer, that is, a power cost simulation device, and the power cost simulation program described in the device is used to further execute the power cost simulation result comparison output step, and the power cost simulation result The comparison output step is to compare and output the power cost simulation results calculated for a plurality of power supply categories. Such as claim 10 or claim 11 attached only to claim 10, which can be read and executed by a computer’s power cost simulation device described in the power cost simulation program, where it is used to further perform the selected power cost simulation The result comparison output step, and the selected power cost simulation result comparison output step is to compare the power cost simulation results calculated for more than one power supply category and the selected power cost simulation results to output. Such as the power cost simulation device of any one of claims 1 to 4, wherein: The aforementioned power consumption attribute acquisition unit has: Basic equipment operation quantity maintenance means, which maintains the basic equipment operation quantity that constitutes the basic equipment operation quantity of the basic power consumption attribute in the unit of length of time during the simulation period; Means for obtaining experimental equipment operating volume, which obtains the experimental equipment operating volume as the experimental equipment operating volume in the unit of length of time during the simulation period; and Experimental power consumption attribute generation means, which generates power consumption attributes including the amount of operation of experimental equipment. Such as the power cost simulation device of claim 13, where: The above-mentioned unit time length is a unit time length of at least 30 minutes from the hour, natural multiples of 30 minutes from the hour, and 24 hours from the hour. Such as the electricity cost simulation device of claim 13 or 14, where: The experimental equipment operation quantity acquisition means has a replacer that replaces the equipment operation quantity of a certain unit time length with the equipment operation quantity of another unit time length. An electricity bill calculation device, which has: Electricity consumption acquisition department, which acquires the electricity consumption of power demanders; Electricity cost attribute acquisition unit, which acquires individual electricity cost attributes for each power supply category; The electricity bill calculation period acquisition section, which obtains the electricity bill calculation period as the period of electricity bill calculation described later; The power cost calculation calculation formula holding unit, which holds the power cost calculation calculation formula, and the power cost calculation calculation formula is used for each of a plurality of power supply categories, according to the power consumption and power supply categories of the demanders Cost attribute, and calculate the individual electricity cost of each power supply category in a time series during the electricity tariff calculation period; and The selection part, which selects the power supply with the lowest power cost amount among multiple power supply categories according to the time series during the calculation of the electricity bill based on the power consumption amount obtained, the power cost attribute obtained, and the maintained power cost calculation formula category. For example, the electricity bill calculation device of claim 16, wherein it further has an electricity bill calculation unit that compares the electricity bill calculation period with respect to the electricity bill calculation unit in accordance with the selection result of the selection unit and the power supply attribute of the selected power supply category The calculation of the electricity bill of its electricity demanders. An operation method of an electricity bill calculation device, which has: Steps to obtain power consumption, which obtain the power consumption of the power demander; Electricity cost attribute obtaining step, which obtains individual electric power cost attributes for each power supply category; The step of obtaining electricity bill calculation period, which obtains the electricity bill calculation period as the period of electricity bill calculation described later; The step of obtaining the power cost calculation formula is to obtain the power cost calculation formula, and the power cost calculation formula is used for each of the plurality of power supply categories according to the power consumption and power supply categories specified by the demander Cost attributes, and calculate the individual electricity cost of each power supply category in a time series during the electricity tariff calculation period; and The selection step is based on the acquired power consumption, the acquired power cost attribute, and the acquired power cost calculation formula, and the power supply with the lowest power cost amount among the multiple power supply categories is selected according to the time sequence during the electricity bill calculation period category. An electricity cost calculation program described in the device that can be read and executed by a computer, that is, an electricity bill calculation device, used to make the computer, that is, an electricity bill calculation device, execute: Steps to obtain power consumption, which obtain the power consumption of the power demander; Electricity cost attribute obtaining step, which obtains individual electric power cost attributes for each power supply category; The step of obtaining electricity bill calculation period, which obtains the electricity bill calculation period as the period of electricity bill calculation described later; The step of obtaining the power cost calculation formula is to obtain the power cost calculation formula, and the power cost calculation formula is used for each of the plurality of power supply categories according to the power consumption and power supply categories specified by the demander Cost attribute, and calculate the individual electricity cost of each power supply category in a time series during the electricity tariff calculation period; and The selection step is based on the acquired power consumption, the acquired power cost attribute, and the acquired power cost calculation formula, and the power supply with the lowest power cost amount among the multiple power supply categories is selected according to the time sequence during the electricity bill calculation period category.

Images