JP2017120599A - Partal supply control device, partial supply method and partial supply program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a partial supply control device capable of easily setting a partial supply threshold value.SOLUTION: With a partial supply control device, an electric power consumption calculation unit 13 reads electric power consumption achievement data during an object period in the past from a storage unit 2. By resolving the electric power consumption achievement data into a past BP, a past OWP, and a past ACP to perform multiple regression analysis, the partial supply control device calculates the amount of electric power consumption of a prediction object day in units of time zone to store calculation results in the storage unit 2 in units of time zone. On the other hand, when a threshold value setting unit 14 is notified that a preregistered contract electric power consumption date and time is reached, the partial supply control device sets the past BP as a partial supply threshold value after a contract renewal date.SELECTED DRAWING: Figure 3

Description

  The present invention relates to a partial supply control device, a partial supply method, and a partial supply program for controlling power supply in partial supply.

  Partial supply refers to “a form in which each generated electricity is supplied as a unit through one pull-in without being physically separated from a plurality of electric power supply sources to one demand place” (described below). Non-patent document 1).

  According to Non-Patent Document 1, for example, the following three patterns can be considered for partial supply. Pattern 1 is a supply form (transverse partial supply) in which a general electric company (or new electric power company) supplies a fixed amount of base and a new electric power (or general electric power company) performs load following supply. Pattern 2 Is a supply form in which new electric power (or a general electric power company) performs base supply based on a notice value, and a general electric power company (or new electric power) performs load following supply excluding the base supply (those based on the notice value) ( Notification type partial supply), and pattern 3 is that an electric utility (general electric utility or new electric power) supplies a load following supply during a certain period of time, and other electric companies at other times This is a supply form (vertical cut-type partial supply) for performing load following supply. Note that. Base supply refers to power supply in a form in which a constant amount of power is supplied without following the load.

  Generally, the electricity charge is determined by three types of “basic charge”, “electricity charge”, and “levy”. Specifically, the basic charge is a fixed monthly charge, and the electricity charge and levy are calculated by multiplying the monthly usage amount by the unit price. .

  In addition, according to Non-Patent Document 2, the basic charge (fixed monthly amount) in the electricity charge is a charge determined by the size of the contract power, and the contract power is the maximum demand for each month in the past year including the current month. It is shown that it is the largest value of electric power. Here, the maximum demand power measures the power used by the user every 30 minutes, and indicates the largest value in a month, and this value becomes larger as more load facilities are used at the same time. .

  When the basic charges specified above are applied, for example, users who have a small amount of actual electricity usage (contract users with a low load factor) will have a ratio of basic charges to electricity charges. Higher electricity costs. Specifically, as users with low load factors, for example, buildings where power consumption is concentrated during the daytime on weekdays, small and medium-sized office buildings, schools, government offices, commercial facilities that are not open 24 hours, etc. Applicable to users. In particular, during summer daytime, power consumption is concentrated and the maximum demand power is raised, so if this month's maximum demand power rises compared to the maximum demand power of other months, the contract power will increase. (Increased basic charge) and a decrease in load factor, which increases the electricity charge.

  Therefore, partial supply is applied to users with a low load factor. For example, a general electric utility (base supplier) reduces and equalizes the supply power by supplying a certain amount of base supply. Reduce contract power. Then, for example, new power (load following supplier) performs load following supply at a lower unit price for the remaining fluctuation portion of the supplied power, and calculates the remaining supplied power as a metered charge. In this way, if the contract electric power of a general electric utility can be reduced, the ratio of the basic charge to the electric charge can be kept low, and consequently, the electricity charge can be kept low.

Internet <http://www.meti.go.jp/committee/sougouenergy/sougou/denryoku_system_kaikaku/pdf/011_s01_00.pdf> "Guidelines for Partial Supply" December 2012 Agency for Natural Resources and Energy Internet <http://www.tepco.co.jp/e-rates/corporate/data/decision/index-j.html> "Contract Electricity Determination Method (Actual Volume System)" November 30, 2015

  When partial supply is applied to a user with a low load factor using the technology described in the above prior art document, the partial supply contract power for the base supplier and the partial supply for the load following supplier In order to determine the contract power, a contract by the base supplier, the load following supplier and the user is required. That is, when partial supply is performed, it is necessary to set a boundary (partial supply threshold) between the contract power for partial supply of the base supplier and the contract power for partial supply of the load following supplier.

  However, at present, a method for calculating a threshold value for partial supply optimum for the user has not been established.

  The present invention has been made in view of the above, and an object thereof is to provide a partial supply control device, a partial supply method, and a partial supply program capable of easily setting a partial supply threshold. To do.

  In order to solve the above-described problems and achieve the object, according to the partial supply control device disclosed in the present application, storage means for storing power consumption in the past target period defined in advance and weather information, The power consumption of the past target period is regularly received from the outside as power consumption in a predetermined time zone, and these power consumptions are defined so that a specific tendency appears in the daily power consumption A first information storage process for allocating to any one of a plurality of categories and storing in the storage means; and a first for storing the weather forecast data and past weather data periodically received from the outside as the weather information in the storage means. 2, the transmission / reception control means for executing the information storage process, and the power consumption of the past target period from the storage means, A first power value that is a substantially constant power consumption portion that does not depend on the number of people in the building, and a second power value that is a power portion consumed by a person-dependent device whose power consumption increases or decreases depending on the number of people in the building; Is set on or after the day when the prediction calculation is performed by performing a multiple regression analysis by decomposing into a third power value that is a power portion consumed by a weather-dependent device whose power consumption increases or decreases depending on weather conditions A power consumption predicting means for calculating the power consumption amount for the forecast target day in the time zone unit, and storing the calculation result in the storage means in the time zone unit, and a notification indicating that it is a contract power calculation date and time. When received, the partial supply that is the boundary between the base supplier's partial supply contract power and the load following supplier's partial supply contract power based on the information obtained in the process of the power consumption prediction means Threshold Characterized in that it and a threshold value setting means for setting.

  Further, according to the partial supply control device disclosed in the present application, the power consumption and the weather information in the past target period specified in advance are stored, and the electricity rate calculated by the base supplier and the load following supplier are calculated. Storage means for preliminarily storing charge information relating to the electricity charge, and periodically receiving the power consumption in the past target period as power consumption in a predetermined time zone unit, A first information storage process for storing in the storage means by allocating to any of a plurality of categories defined so that a specific trend appears in the daily power consumption, and a weather forecast periodically received from the outside A second information storage process for storing data and past weather data in the storage means as the weather information, and a transmission / reception control means for executing the contract power calculation date and time When receiving a notification indicating that the partial supply contract power and the load of the base supplier based on the power consumption of the past target period accumulated in the storage unit and the charge information stored in the storage unit Threshold value setting means for setting a threshold value for partial supply that is a boundary with the contract power for partial supply of the follow-up supplier.

  Further, according to the partial supply method disclosed in the present application, the partial supply control device includes a storage unit for storing power consumption and weather information of a past target period defined in advance. The power consumption is periodically received from the outside as power consumption in a predetermined time zone, and these power consumptions are one of the multiple categories defined so that a specific trend appears in the daily power consumption. A first information accumulating process for allocating and accumulating in the storage unit; and a second information accumulating process for accumulating weather forecast data and past weather data periodically received from outside as the weather information in the storage unit; , And the information storage step for reading the power consumption amount of the past target period from the storage unit, and the read power consumption amount of the past target period does not depend on weather conditions or the number of people in the building. A first power value that is a substantially constant power consumption part, a second power value that is a power part consumed by a person-dependent device whose power consumption increases or decreases depending on the number of people in the building, and power consumption due to weather conditions The power of the prediction target day set after the day when the prediction calculation is performed by performing multiple regression analysis with the third power value, which is the power portion consumed by the weather-dependent equipment with increasing or decreasing When the prediction calculation step of calculating the consumption amount in the time zone unit and storing the calculation result in the storage unit in the time zone unit and the notification indicating the contract power calculation date and time are received, the prediction step Threshold setting for setting a threshold for partial supply, which is a boundary between the contract power for partial supply of the base supplier and the contract power for partial supply of the load following supplier based on information obtained in the process of Step Characterized in that it comprises a and.

  Further, according to the partial supply method disclosed in the present application, the partial supply control device stores the power consumption and the weather information of the past target period specified in advance, and the electric charge and load tracking calculated by the base supplier. It has a storage unit for preliminarily storing charge information related to the electricity bill calculated by the supplier, and the power consumption amount in the past target period is periodically set as a power consumption amount in a predetermined time period from the outside. A first information storage process for receiving and distributing these power consumptions to any one of a plurality of divisions defined so that a specific tendency appears in the daily power consumption, and storing in the storage unit; Information storage step for executing a second information accumulation process for accumulating weather forecast data and past weather data periodically received from the memory unit as the weather information , When receiving a notification indicating that it is the contract power calculation date and time, based on the power consumption of the past target period accumulated in the storage unit and the charge information stored in the storage unit, the base supplier's A threshold setting step for setting a threshold for partial supply, which is a boundary between the partial supply contract power and the load following supplier partial supply contract power.

  According to one aspect of the partial supply control device disclosed in the present application, it is possible to easily set the partial supply threshold value.

FIG. 1 is a diagram illustrating a hardware configuration example of a computer that operates as a partial supply control device. FIG. 2 is a diagram illustrating an example of a decomposition image of power demand. FIG. 3 is a diagram illustrating an example of a functional block configuration of the partial supply control device. FIG. 4 is a flowchart illustrating an example of processing related to partial supply control. FIG. 5 is a diagram illustrating an example of the configuration of the building information DB. FIG. 6 is a diagram illustrating an example of the configuration of the work information DB. FIG. 7 is a diagram illustrating an example of the configuration of the power consumption record DB. FIG. 8 is a diagram illustrating an example of the configuration of the weather information DB. FIG. 9 is a diagram illustrating an image of calculation processing of the power value (past BP) of the first power consumption portion in the past target period. FIG. 10 is a diagram illustrating an image of calculation processing of the power value (past OWP) of the second power consumption portion in the past target period. FIG. 11 is a diagram illustrating an image of calculation processing of the power value (past ACP) of the third power consumption portion in the past target period. FIG. 12 is a diagram illustrating an example of the configuration of the power consumption DB. FIG. 13 is a diagram illustrating an example of a predicted value of the amount of power procurement on the load following supplier side. FIG. 14 is a diagram illustrating an example of a predicted value of the amount of power procurement on the load following supplier side. FIG. 15 is a diagram illustrating an example of a predicted value of the power procurement amount on the load following supplier side.

  The partial supply control device disclosed in the present application is, for example, a configuration attached to an existing photovoltaic power generation system, establishes a method for calculating a threshold for partial supply, and optimal power procurement at the time of partial supply execution For the purpose of grasping the amount, the power consumption of each building such as offices and factories is predicted. In this way, if a system that predicts the power consumption of each building can be constructed, the predicted power consumption becomes the power demand of the building, so the partial supply operator (base supplier and load following supplier) Optimal power procurement becomes possible, and as a result, efficient power supply and demand can be realized.

  Hereinafter, embodiments of the partial supply control device disclosed in the present application will be described in detail with reference to the drawings. Note that the present invention is not limited to the embodiments.

  In this embodiment, by setting a partial supply threshold, the power procurement amount on the load following supplier side is predicted.

  FIG. 1 is a diagram illustrating a hardware configuration example of a computer that operates as a partial supply control device according to the present embodiment. In FIG. 1, a computer according to the present embodiment includes a control unit 1 including a CPU (Central Processing Unit) and an FPGA (Field Programmable Gate Array), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like. A storage unit 2 including various memories, an input unit 3 including a user interface such as a keyboard 8 and a mouse 9, an output unit 4 that performs output processing such as printing, a display unit 5 that is a display, and a predetermined network And a communication unit 6 that communicates with the outside. In FIG. 1, the input unit 3 including the user interface such as the keyboard 8 and the mouse 9 is provided. However, the computer of the present embodiment is not limited to this, and the display unit 5 is provided with a touch panel function. The input unit 3 may not be provided, or the input unit 3 may be used in combination.

  In FIG. 1, the control unit 1 executes the partial supply program of this embodiment. The storage unit 2 stores the partial supply program and various input information of this embodiment, data obtained in the course of processing, and the like. The control unit 1 executes the partial supply control of the present embodiment by reading the program stored in the storage unit 2. The storage unit 2 is not limited to the internal memory, and may be an external storage medium such as an external hard disk, a DVD (Digital Versatile Disc), an SD memory, or the internal memory and the external storage medium. It is good also as being comprised by both.

  In addition, the partial supply control device of this embodiment is a power plant, electric power company, retailer (power purchase, power sale, etc.), etc. Can be easily installed in an environment where an environment in which parameters (information) for predicting the parameters can be obtained is prepared.

  Here, as a premise for the partial supply control device of the present embodiment to predict the power consumption in units of buildings such as offices, factories, etc., a decomposition image of the power demand will be described. FIG. 2 is a diagram illustrating an example of a decomposition image of power demand. The demand for power in the office, for example, is a person who stays in the office, such as a PC, lighting, etc., as well as the first power consumption part, which is the power applied to devices that are always on, such as servers, routers and vending machines. Depending on the second power consumption part, which is the power consumed by equipment whose power consumption increases or decreases depending on the number of people, and equipment whose power consumption increases or decreases due to weather conditions (temperature, humidity, season, etc.), such as air conditioners (air conditioning equipment) It is possible to break down into a third power consumption portion which is a consumed power portion.

  The first power consumption portion has substantially constant power consumption regardless of morning, noon, or night because the power supply is always ON. The second power consumption portion depends on the number of people staying in the office and does not depend on the weather conditions. In this embodiment, as an example, from 6 am to 24:00 midnight when employees are enrolled. Assume power consumption during (employment period). The third power consumption part is a part where power is consumed by switching on / off the air conditioner, cooling operation, heating operation, air blowing operation, etc. based on weather conditions. Assume power consumption from 6:00 am to midnight (operating period of air conditioning equipment, etc.) from the time the air conditioner is turned on by the employee who entered the office until the last employee leaving the office turns off the air conditioner. In this embodiment, as an example, the employee enrollment period and the operation period of the air conditioner, etc. are set to the same time zone, but this is not a limitation, for example, cooling or For example, when turning off the heating, it is not always necessary to match the two.

  In the present embodiment, the past power consumption is decomposed into a first power consumption portion, a second power consumption portion, and a third power consumption portion, a multiple regression analysis is performed, and a derived correlation formula (past power consumption) Future consumption of electricity is predicted using (decompose consumption into variables).

  FIG. 3 is a diagram illustrating an example of a functional block configuration of the partial supply control device according to the present embodiment. Specifically, the control unit 1 reads the partial supply program from the storage unit 2 and executes it. The functional block is shown. In FIG. 3, the control unit 1 includes a transmission / reception control unit 11, a date / time management unit 12, a power consumption calculation unit 13, and a threshold setting unit 14 as functional blocks for executing the partial supply control of this embodiment. . The hardware configuration and the functional block configuration of the partial supply control device of this embodiment are listed for the convenience of explanation, and the configuration related to the processing of this embodiment is listed, and all the functions of the partial supply control device are expressed. It is not a thing.

  In addition, the partial supply program of this embodiment can be distributed via the communication unit 6 and a network such as the Internet. The program may be recorded on a computer-readable recording medium such as a hard disk, a flexible disk (FD), a CD-ROM, an MO, a DVD, a USB memory, and an SD memory. In this case, the computer Is executed by reading from the recording medium.

<Partial supply control processing>
Next, the process according to the partial supply control of the present embodiment will be described in detail using a flowchart. FIG. 4 is a flowchart illustrating an example of processing according to the partial supply control of this embodiment.

  As a precondition for executing the process related to the partial supply control of the present embodiment, the storage unit 2 has a predetermined information including geographical information and structural information of buildings such as offices and factories. A building information DB 21 for storing building information, a work information DB 22 for storing various information related to work styles such as the number of people who use the target building and work style, and past power consumption are predetermined. A power consumption result DB 23 for storing in time units and a weather information DB 24 for storing past weather data and latest weather forecast data in predetermined time units are provided.

  FIG. 5 is a diagram illustrating an example of the configuration of the building information DB 21. For the building information DB 21, the system administrator uses the input unit 3 to name the building, geographic information (latitude, longitude), structure (reinforced concrete, wooden, etc.), and other information (building orientation, etc.) ) Input processing. Note that the information stored in the building information DB 21 of the present embodiment is an example, and the present invention is not limited to this.

  FIG. 6 is a diagram illustrating an example of the configuration of the work information DB 22. For the work information DB 22, the system administrator uses the input unit 3 to input the number of employees, the personnel composition (in-house work, outside work, etc.), the operating status such as operating days and operating hours, and the usage status of equipment. I do. The work information DB 22 is stored in the storage unit 2 in a state associated with the building information DB 21. In the operation status column, for example, information such as start time, lunch break time, end time, overtime status, etc., is recorded in detail as the operation time. Further, in the device usage status column, for each electric device, information indicating whether there is standby power, information indicating whether the power supply is always on or when the power supply is on is recorded in detail. Note that the information stored in the work information DB 22 of this embodiment is an example, and the present invention is not limited to this.

  FIG. 7 is a diagram illustrating an example of the configuration of the power consumption result DB 23. As an example, the power consumption record DB 23 indicates a past target period (in the present example, the past two months) that is necessary for prediction of future power consumption based on a business calendar or the like. Power consumption data for two months measured in 30-minute units, for example, with a structure classified into date categories such as “weekdays”, “weekdays without overtime”, “Saturday”, “Sunday / Holiday” (KWh) is stored for each date division. Specifically, the transmission / reception control unit 11 cooperates with the date and time management unit 12 to periodically obtain power consumption record data from an electric power company or the like via an external line such as the Internet and the communication unit 6 (in this embodiment, 30 minutes). And the data is distributed to the corresponding date classification and stored in the power consumption record DB 23 in the storage unit 2. It is assumed that the power consumption result data for the past two months is assigned to each date category based on information recorded in the work information DB 22 by the transmission / reception control unit 11. In FIG. 7, as an example, the actual power consumption data for one week (Monday to Sunday (also including holidays)) is represented, but originally all the power for the past two months is represented. The actual consumption data is stored in a state associated with any of the date categories. In this example, the date classification is defined as “weekdays with overtime”, “weekdays without overtime”, “Saturday”, and “Sundays / holidays” as an example. The classification is not limited to this as long as the trend appears.

  FIG. 8 is a diagram illustrating an example of the configuration of the weather information DB 24. The transmission / reception control unit 11 cooperates with the date / time management unit 12 to receive weather forecast data, for example, at regular intervals (every 30 minutes in the present embodiment) via an external line such as the Internet and the communication unit 6, and the data Is stored in the weather information DB 24 in the storage unit 2 as weather information. Similarly, past weather data is received, for example, at regular time intervals (every 30 minutes in this embodiment), and the data is stored in the weather information DB 24 as weather information.

  In the state where various data are stored in the storage unit 2 as described above, the control unit 1 executes the partial supply control shown in FIG. In this embodiment, for convenience of explanation, the day when the power consumption prediction calculation is actually performed is the prediction calculation date, and the power consumption prediction target day (in this embodiment, the day after the prediction calculation date) ) Is defined as the forecast date. The power consumption calculation unit 13 of the control unit 1 always operates in cooperation with the date management unit 12. In addition, it is assumed that the power consumption calculation unit 13 grasps in advance the employee enrollment period and the operation period of the air conditioner and the like from the information stored in the work information DB 22.

In FIG. 4, when the power consumption calculation unit 13 is notified from the date and time management unit 12 that the prediction start time specified in advance has been reached, based on the information stored in the power consumption result DB 23, The power value (defined as past BP) of the first power consumption portion in the target period is obtained (step S1). In detail, the power consumption calculation unit 13 is, for example, a predetermined time period from two months before the prediction calculation date to the day before the prediction calculation date (in this embodiment, other than the employee enrollment period and the operation period such as the air conditioner). All the power consumption data (R ₁ ) in the time period) is read from the power consumption performance DB 23 and the average power of all R ₁ is calculated. And the calculation result is stored in the memory | storage part 2 as past BP (kWh) (step S1).

  FIG. 9 is a diagram illustrating an image of calculation processing of the power value (past BP) of the first power consumption portion in the past target period. Since the past BP obtained in step S1 is a constant value that does not depend on weather conditions or the number of employees, the first consumption on the prediction target day is also used in the power consumption prediction process on the prediction target day described later. The power value of the power portion (= BP) is applied as it is.

Next, the power consumption calculation unit 13 calculates the power value of the second power consumption portion in the past target period (past) based on the information stored in the power consumption result DB 23 and the past BP obtained in step S1. (Defined as OWP) (step S2). Specifically, for example, the power consumption calculation unit 13 sets the actual power consumption data (R ₂ ) for the employee enrollment period from two months before the predicted calculation date to the previous day of the predicted calculation date to a specific date category. Are read from the power consumption record DB 23 for every “weekdays with overtime”, “weekdays without overtime”, and “Saturday”. Here, the power consumption data for two months for “weekdays with overtime” is R ₂₁ (set of R ₂₁ ), and the power consumption data for two months for “weekdays without overtime” is respectively, and R ₂₂ (a set of R _22), and two months worth of power consumption actual data each R ₂₃ of the "Saturday" (a set of R _23). In this embodiment, it is assumed that Sundays and holidays are holidays and there is no second power consumption part, and the power consumption result data R ₂₄ for two months of the date classification “Sunday / holiday” is read. Absent.

Furthermore, the power consumption calculation unit 13 reads the date classification for each of the power consumption record data (a set of R _21, a set of R _22, a set of R _23), respectively every time zone (every 30 minutes in the present embodiment ). Thus, for example, a set of the set of the set of R _21, R ₂₂ time zone A, the set and the R _23, a set of R ₂₁ time zone B, R _22, collection or R _23, R time period C ₂₁ sets, R ₂₂ sets, R ₂₃ sets,... Are obtained. Then, the minimum power value (for example, the minimum value of R ₂₁ in time zone A, the R value in time zone A, and the like) is calculated from the power consumption amount actual data classified as a unit by the same date classification and the same time zone. the minimum value of _22, the minimum value of R ₂₃ time zones a, extracts ... etc.), and further, respectively, from the minimum power value extracted by subtracting the past BP, the respective power values obtained as a result of the subtraction, Each of them is stored in the storage unit 2 as past OWP (kWh) classified by date category and time zone.

FIG. 10 is a diagram illustrating an image of calculation processing of the power value (past OWP) of the second power consumption portion in the past target period. For example, the past OWP of “6:00 to 6:30” of “weekdays with overtime” is a value obtained by subtracting the past BP from the minimum value of R ₂₁ of 6:00 to 6:30 of the past target period. Further, the past OWP of “6:00 to 6:30” of “weekdays without overtime” is a value obtained by subtracting the past BP from the minimum value of R ₂₂ of 6: 0 to 6:30 of the past target period. Further, the "Saturday" 6: 00-6: 30 in the past OWP the past period 6: 00-6: a value obtained by subtracting the previous BP from a minimum of 30 of R _23. Each past OWP obtained in this way is a past OWP classified according to date category ("weekdays with overtime", "weekdays without overtime", "Saturday") and time zone (in units of 30 minutes). As stored in the storage unit 2. The past OWP obtained in step S2 is a value that can be specified from past power consumption record data, and is a value with little fluctuation in power consumption in the same date segment and the same time zone. Also in the power consumption prediction process on the prediction target day, the power value (= OWP) of the second power consumption portion on the prediction target day is applied as it is.

Next, the power consumption calculation unit 13 uses the information stored in the power consumption result DB 23, the past BP obtained in step S1, and the past OWP obtained in step S2, in the past target period. The power value of the third power consumption portion (defined as past ACP) is obtained (step S3). Specifically, for example, the power consumption calculation unit 13 obtains the actual power consumption data (R ₃ ) during the operation period of the air conditioner, etc. from two months before the prediction calculation date to the day before the prediction calculation date. All of the categories “weekdays with overtime”, “weekdays without overtime”, and “Saturday” are read from the power consumption record DB 23. In this embodiment, it is assumed that Sundays and holidays are holidays and there is no third power consumption portion, and the power consumption data for two months in the date category “Sunday / holiday” is not read.

The power consumption calculation unit 13, for example, the past BP from the read R _3, the R ₃ and the past OWP the same date classification and the same time zone, the process of subtracting the, all read in R _{3 is} executed one by one, and all power values obtained as a subtraction result are stored in the storage unit 2 as past ACPs for two months classified by actual date and time zone.

FIG. 11 is a diagram illustrating an image of calculation processing of the power value (past ACP) of the third power consumption portion in the past target period. For example, the prediction calculation date of the day before the 6: 00-6: Past ACP of 30, the day before the predictive calculation date 6: 00-6: 30 past BP subtracted from the power consumption result data R _3, and further, This is a value obtained by subtracting the past OWP in the same date segment and the same time zone (6: 0 to 6:30) as R ₃ . Further, for example, the 2 months prior to the day 6: 00-6: 30 past ACP of the two months before the date 6: 00-6: subtracting the last BP 30 of the power consumption result data R ₃ Furthermore, it becomes a value obtained by subtracting the past OWP in the same date segment and the same time zone (6: 0 to 6:30) as R ₃ .

  Here, in FIG. 4, the threshold setting unit 14 operates independently of the power consumption calculation unit 13. For example, the threshold value setting unit 14 receives a pre-registered contract power calculation date and time (with contract update) from the date and time management unit 12. When it is notified that the contract electric power for the next season has been reached, a partial supply threshold (kWh) setting process is executed. In this embodiment, the past BP stored in the storage unit 2 at the contract power calculation date and time is, for example, the partial supply threshold (kWh) for one year from the contract renewal date, and the value is stored in the storage unit 2. Store (step S11). According to the partial supply threshold determined by the threshold setting unit 14, the power supplied by the base supplier can be suppressed to a constant value (past BP). This is suitable when a user with a low load factor wants to reduce the contract electric power with the supplier and reduce the electricity bill when receiving a full supply from the supplier.

After the process of step S3, the power consumption calculation unit 13 further calculates the following equation (1) based on the past ACP of the past target period and the weather information x of the past target period accumulated in the weather information DB 24. Then, an approximate expression is derived so as to be a function of the weather information x (step S4). In this embodiment, as an example, a second-order polynomial approximation is used (see equation (2)), and this approximation equation is used as the third power consumption portion y (= ACP) of the building to be predicted (office, factory, etc.). ). Here, R in the following formula (1) is R ₃ described above. That is, R is actual power consumption data (kWh) during the operation period of the air conditioner and the like from two months before the predicted calculation date to the day before the predicted calculation date, except for the date classification “Sunday / Holiday”. Also, the past OWP (time zone) in the following equation (1) is a past OWP in the same date segment and the same time zone as R. Moreover, a, b, and c are coefficients.

  f (x) = past ACP = R-past OWP (time zone) -past BP (1)

y = ACP = ax ² + bx + c (2)

  Further, the power consumption calculation unit 13 is based on the BP (= past BP) obtained in step S1, the OWP (= past OWP) obtained in step S2, the above formula (1), and the above formula (2). The prediction formula for the power consumption on the prediction target day is derived as shown in the following formula (3) (step S5). Here, the power consumption (time zone) represents a predicted value (kWh) of power consumption in time units, ACP (time zone) represents ACP (function of weather information x) in time units, and OWP ( (Date division, time zone) represents OWP classified by date division and time zone.

Power consumption (time zone) =
ACP (time zone) + OWP (date division, time zone) + BP (3)

  After that, the power consumption calculation unit 13 reads all the weather information x of the prediction target date from the weather information DB 24 for each time zone, and substitutes the read weather information x for the equation (2) to obtain ACP (time zone). Further, the calculated ACP (time zone) is stored in the storage unit 2. Then, the power consumption calculation unit 13 reads ACP (time zone), OWP (date division, time zone), and BP from the storage unit 2, and substitutes them into the above equation (3) to calculate the power consumption (time zone). ) Is calculated (step S6), and the calculated power consumption is stored in the power consumption DB 25 of the storage unit 2 for each time period. FIG. 12 is a diagram illustrating an example of the configuration of the power consumption DB 25. The power consumption (time zone) calculated in step S6 is stored in the power consumption DB 25 as a predicted value of power consumption in time zone units.

  Finally, the power consumption calculation unit 13 reads the predicted value (kWh) of the power consumption in all time zones from the power consumption DB 25 and further reads the partial supply threshold value (kWh) from the storage unit 2. Based on these pieces of information, the power procurement amount on the load following supplier side is predicted (step S7). Specifically, by subtracting the partial supply threshold value from the predicted value of power consumption in all time periods, the total value of the resulting power amount is the amount of power procured on the load following supplier side. The predicted value (kWh) is set (step S7). FIG. 13 is a diagram illustrating an example of the predicted value of the power procurement amount on the load following supplier side. Specifically, the hatched portion above the partial supply threshold indicates the power procurement amount on the load following supplier side. Predicted value. In the present embodiment, the predicted value of the amount of power procurement on the side of the load following supplier from midnight 12:00 to 6:00 in the morning is 0 (kWh).

  As described above, in the present embodiment, the power consumption calculation unit 13 reads the power consumption result data of the past target period from the storage unit 2, and uses the power consumption result data as the past BP, the past OWP, and the past ACP. By performing the multiple regression analysis by decomposing, the power consumption of the prediction target day is calculated for each time zone, and the calculation result is stored in the storage unit 2 for each time zone, while the threshold setting unit 14 Is notified that the contract power calculation date and time registered in advance has been reached, the past BP stored in the storage unit 2 is set as a partial supply threshold for one year from the contract renewal date, for example. It was decided. Thereby, the threshold value for partial supply can be set easily. Then, by setting the threshold value for partial supply, as shown in FIG. 13, it is possible to easily separate the power supply portion supplied by the base supplier and the power supply portion supplied by the load following supplier. Specifically, by setting a threshold for partial supply, for example, the amount of power supplied from the base supplier is reduced (suppressing the basic charge), and the load following power supply (fluctuating part) is received from the base supplier. It is also possible to procure from a load following supplier that supplies power at a low unit price.

  In the present embodiment, the power consumption calculation unit 13 reads the past BP, the past OWP, the past ACP, and the weather information of the operation period such as the air conditioner from the storage unit 2, and based on these information, the weather information An approximate expression of ACP is derived so as to be a function, and furthermore, the power consumption of the prediction target day is calculated for each time zone based on the past BP, the past OWP and the approximate expression, and the calculation result is stored for each time zone. Stored in the unit 2, and further read out the power consumption of all the time zones of the prediction target date from the storage unit 2, subtracting the partial supply threshold value from each of these power consumptions, obtained as a result The total value of power consumption was used as the predicted value of power procurement on the load following supplier side. As a result, even when the power consumption greatly fluctuates due to the weather conditions (temperature, humidity, season, etc.), the optimum power procurement by the load following supplier becomes possible.

<Other partial supply threshold setting method (1)>
In the above description, the past BP is set as the partial supply threshold. However, the method of setting the partial supply threshold is not limited to this, and may be set by another method. Hereinafter, a method for setting a partial supply threshold different from the above will be described with reference to FIG.

  In FIG. 4, the power consumption calculation part 13 performs the process of step S1-step S7 in order like the above. On the other hand, in FIG. 4, the threshold value setting unit 14 operates independently of the power consumption calculation unit 13, and notifies, for example, that the contract power calculation date and time registered in advance has been reached from the date and time management unit 12. If so, the process for setting the partial supply threshold (kWh) is executed. Specifically, the threshold value setting unit 14 reads the past BP and the maximum value of the past OWP stored in the storage unit 2 at the contract power calculation date and time, and adds the past BP to the maximum value of the past OWP. The result is stored in the storage unit 2 as a partial supply threshold (kWh) (step S11). In the present embodiment, the obtained partial OWP is based on the fact that the past OWP is calculated based on the actual power consumption data (kWh) for the past two months (the past target period) measured in units of 30 minutes. It is desirable to set the threshold as a partial supply threshold for about one month from the date of contract renewal. For example, when past OWP for the past year is accumulated, the calculation result obtained by adding the past BP to the maximum value of the past OWP is used as the threshold for partial supply for one year from the date of contract renewal. It can be set as a value. Here, the partial supply threshold value is calculated using the maximum value of the past OWP. However, the present invention is not limited to this. For example, the average power of all past OWP is calculated, and the past BP is added to the average power. The calculation result may be set as a partial supply threshold (kWh).

  FIG. 14 is a diagram illustrating an example of the predicted value of the amount of power procurement on the load following supplier side, and more specifically, from a partial supply threshold (a calculation result obtained by adding the past BP to the maximum value of the past OWP). The upper shaded portion is the predicted value of the amount of power procurement on the load following supplier side. The dotted line indicates the case where the calculation result obtained by adding the past BP to the average power of the past OWP is set as the partial supply threshold.

  For example, during summer daytime, power consumption is concentrated and the maximum demand power is raised, so if this month's maximum demand power rises compared to the other months' maximum demand power, for example, one supply When the entire amount is received from a person, it leads to an increase in contracted power (increase in basic charge) and a decrease in load factor, thereby increasing the electricity charge. However, even when the maximum demand power is prominent, it is a part based on the past BP (first power consumption portion) that is always constant and the past OWP (second power consumption portion) that has little fluctuation due to power concentration. Since the supply threshold is set, it is possible to reduce the load factor applied to the base supply part and to procure less power supply from the base supplier (for example, general electric utility) Become.

<Other threshold supply method for partial supply (2)>
Further, the partial supply threshold value may be set by another method. Here, in the storage unit 2, “basic charge based on partial supply contract power” and “electricity charge based on usage” calculated by a base supplier (for example, a general electric utility), and a load following supplier (for example, It is assumed that charge information such as “electricity charge based on the amount of usage” calculated by (new power) is stored in advance.

  In FIG. 4, the power consumption calculation part 13 performs the process of step S1-step S7 in order like the above. On the other hand, in FIG. 4, the threshold value setting unit 14 operates independently of the power consumption calculation unit 13, and notifies, for example, that the contract power calculation date and time registered in advance has been reached from the date and time management unit 12. If so, the process for setting the partial supply threshold (kWh) is executed. Specifically, the threshold value setting unit 14 reads all the power consumption result data (kWh) of the past target period stored in the storage unit 2 at the contract power calculation date and time from the power consumption result DB 23 and reads the read power The actual consumption data is totaled for each time zone (here, every 30 minutes). Moreover, the threshold value setting unit 14 calculates the average power for each time slot of the power consumption record data classified as a unit by the total time period, and the power consumption record for each time slot. Find the average value of. Then, the threshold value setting unit 14 reads out the charge information stored in the storage unit 2, and based on the read charge information and the average value of the actual power consumption for each time zone, the electricity charge (basic charge) based on the base supply The threshold value for partial supply is calculated so that the total of the electricity charge (for example, the electricity charge) for the (following + electricity charge) and the load following supply is the lowest (step S11). In the present embodiment, the power consumption actual data (kWh) for the past two months (past target period) measured in units of 30 minutes is stored in the storage unit 2, and the date of contract renewal is 1 It is desirable to set a threshold for partial supply of about a month. Note that, for example, when power consumption data (kWh) for the past year is accumulated, it can be set as a partial supply threshold for one year from the date of contract renewal. .

  FIG. 15 is a diagram illustrating an example of a predicted value of the power procurement amount on the load following supplier side. Specifically, the hatched portion above the partial supply threshold indicates the power procurement amount on the load following supplier side. Predicted value. In the present embodiment, for example, the predicted value of the power procurement amount on the load following supplier side from 18:00 to 7:00 the next morning is 0 (kWh).

  According to this method, contract power for partial supply by the base supplier is reduced and equalized to lower the basic charge, and the load following supplier, for example, performs load following supply at a lower unit price for the remaining variable parts, and the rest Is calculated as a metered rate. As a result, it is possible to realize partial supply in which the electricity charge is cheapest for the user.

  In the present embodiment, as an example, the processing for setting the past BP as the partial supply threshold and the partial supply threshold setting method shown in the above (1) and (2) have been described. The partial supply threshold value may be, for example, a partial supply threshold value calculated using the power consumption result data in the past target period stored in the power consumption result DB 23. It is not limited to the supply threshold.

<Other partial supply threshold setting methods (3)>
Furthermore, the partial supply threshold value may be set by another method. For example, the partial supply threshold value calculated by a method different from the partial supply threshold value set in the various processes described above, specifically, the power in the past target period stored in the power consumption record DB 23 The threshold setting unit 14 calculates the partial supply threshold (kWh) calculated by a method other than the method of calculating the partial supply threshold using the actual consumption data, from the outside via the communication unit 6 as appropriate. It may be obtained and set. At this time, the threshold setting unit 14 operates independently of the power consumption calculation unit 13 as described above. This makes it possible to calculate the predicted value (kWh) of the power procurement amount on the load following supplier side using the partial supply threshold value calculated by various methods, in accordance with the needs of the user. Power supply can be realized.

DESCRIPTION OF SYMBOLS 1 Control part 2 Memory | storage part 3 Input part 4 Output part 5 Display part 6 Communication part 8 Keyboard 9 Mouse 11 Transmission / reception control part 12 Date management part 13 Power consumption calculation part 14 Threshold value setting part 21 Building information DB
22 Work information DB
23 Power consumption record DB
24 weather information DB
25 Power consumption DB

Claims (19)

A partial supply control device for controlling power supply in partial supply,
Storage means for storing power consumption and weather information in a predetermined past target period;
The power consumption of the past target period is regularly received from the outside as power consumption in a predetermined time zone, and these power consumptions are defined so that a specific tendency appears in the daily power consumption A first information storage process for allocating to any one of a plurality of categories and storing in the storage means; and a first for storing the weather forecast data and past weather data periodically received from the outside as the weather information in the storage means. Transmission / reception control means for executing the information storage processing of 2;
The power consumption amount of the past target period is read from the storage unit, and the read power consumption amount of the past target period is a first power value that is a substantially constant power consumption portion that does not depend on weather conditions or the number of people in the building. A second power value that is a power portion consumed by a person-dependent device whose power consumption increases or decreases depending on the number of people in the building, and a power portion that is consumed by a weather-dependent device whose power consumption increases or decreases depending on weather conditions And calculating the power consumption for the prediction target day set after the day when the prediction calculation is performed, by performing the multiple regression analysis with the third power value, and calculating the result Power consumption predicting means for storing in the storage means in units of the time zone;
When receiving a notification indicating that it is the contract power calculation date and time, based on the information obtained in the process of processing by the power consumption prediction means, the contract power for partial supply of the base supplier and the part of the load following supplier Threshold setting means for setting a threshold for partial supply that is a boundary with the contracted power for supply;
Comprising
The partial supply control apparatus characterized by the above-mentioned. The power consumption prediction means includes
The power consumption during a period when the human-dependent device and the weather-dependent device are not operating is read from the storage means, and an average of the read power consumption is stored in the storage means as the first power value. A first calculation process to store;
Reading the first power value and the power consumption during the period when the human-dependent device is operating from the storage means, classifying the read power consumption by the category and the time zone, and the same category In addition, a minimum value is extracted from each of the power consumptions classified in the same time zone, the first power value is further subtracted from each obtained minimum value, and each power value obtained as a result of the subtraction is obtained. A second calculation process for storing in the storage means as the second power value classified by the category and the time zone, respectively,
The first power value, the second power value, and the power consumption during a period in which the weather-dependent device is operating are read from the storage means, and the first power value is read from the read power consumption. A subtraction process for subtracting the power value and the second power value classified in the same segment and in the same time zone as the power consumption is performed on the power consumption in all the read time zones, and the subtraction is performed. A third calculation process for storing all the power values obtained as a result in the storage means as a third power value in the past target period each classified in a time zone unit;
Reading out the first power value, the second power value, the third power value in the past target period, and weather information of a period during which the weather-dependent device is operating from the storage unit Based on the obtained information, an approximate expression of the third power value is derived so as to be a function of the weather information, and the prediction target is further calculated based on the first power value, the second power value, and the approximate expression. Power consumption prediction processing for calculating the power consumption of the day in units of time zones and storing the calculation results in the storage means in units of time zones;
Read the power consumption of all time zones of the prediction target date from the storage means, subtract the partial supply threshold value from the read power consumption, respectively, and the total value of the power consumption obtained as a result A power procurement amount prediction process in which the predicted value of the power procurement amount on the load following supplier side is
The partial supply control device according to claim 1, wherein: The threshold value setting means sets the first power value as the partial supply threshold value.
The partial supply control device according to claim 2. The threshold value setting unit reads the first power value and the maximum value of the second power value from the storage unit, and adds the first power value to the maximum value of the second power value. The calculated result as the partial supply threshold,
The partial supply control device according to claim 2. The threshold value setting unit reads the first power value and the second power value from the storage unit, calculates an average power of the second power value, and calculates the first power to the average power. The calculation result obtained by adding the power value is used as the partial supply threshold value.
The partial supply control device according to claim 2. A partial supply control device for controlling power supply in partial supply,
For storing power consumption and weather information for the past target period specified in advance, and for storing electricity charge information calculated by the base supplier and charge information related to the electricity charge calculated by the load following supplier in advance. Storage means;
The power consumption of the past target period is regularly received from the outside as power consumption in a predetermined time zone, and these power consumptions are defined so that a specific tendency appears in the daily power consumption A first information storage process for allocating to any one of a plurality of categories and storing in the storage means; and a first for storing the weather forecast data and past weather data periodically received from the outside as the weather information in the storage means. Transmission / reception control means for executing the information storage processing of 2;
When receiving a notification indicating that it is the contract power calculation date and time, based on the power consumption of the past target period accumulated in the storage means and the charge information stored in the storage means, the base supplier part Threshold setting means for setting a threshold for partial supply that is a boundary between the contracted power for supply and the contracted power for partial supply of the load following supplier;
Comprising
The partial supply control apparatus characterized by the above-mentioned. The threshold setting means includes
Read all the power consumption of the past target period from the storage means, total the read power consumption for each time zone, and the time of the power consumption classified as a unit of the same time zone by the aggregation Calculate the average value for each band,
Read the charge information stored in the storage means, and based on the read charge information and the average value of the power consumption for each time zone, the total of the electricity charge by base supply and the electricity charge by load following supply is the cheapest Calculate the threshold for partial supply such that
The partial supply control device according to claim 6. further,
The power consumption amount of the past target period is read from the storage unit, and the read power consumption amount of the past target period is a first power value that is a substantially constant power consumption portion that does not depend on weather conditions or the number of people in the building. A second power value that is a power portion consumed by a person-dependent device whose power consumption increases or decreases depending on the number of people in the building, and a power portion that is consumed by a weather-dependent device whose power consumption increases or decreases depending on weather conditions And calculating the power consumption for the prediction target day set after the day when the prediction calculation is performed, by performing the multiple regression analysis with the third power value, and calculating the result Power consumption predicting means for storing in the storage means in units of time zones,
With
The power consumption prediction means includes
The power consumption during a period when the human-dependent device and the weather-dependent device are not operating is read from the storage means, and an average of the read power consumption is stored in the storage means as the first power value. A first calculation process to store;
Reading the first power value and the power consumption during the period when the human-dependent device is operating from the storage means, classifying the read power consumption by the category and the time zone, and the same category In addition, a minimum value is extracted from each of the power consumptions classified in the same time zone, the first power value is further subtracted from each obtained minimum value, and each power value obtained as a result of the subtraction is obtained. A second calculation process for storing in the storage means as the second power value classified by the category and the time zone, respectively,
The first power value, the second power value, and the power consumption during a period in which the weather-dependent device is operating are read from the storage means, and the first power value is read from the read power consumption. A subtraction process for subtracting the power value and the second power value classified in the same segment and in the same time zone as the power consumption is performed on the power consumption in all the read time zones, and the subtraction is performed. A third calculation process for storing all the power values obtained as a result in the storage means as a third power value in the past target period each classified in a time zone unit;
Reading out the first power value, the second power value, the third power value in the past target period, and weather information of a period during which the weather-dependent device is operating from the storage unit Based on the obtained information, an approximate expression of the third power value is derived so as to be a function of the weather information, and the prediction target is further calculated based on the first power value, the second power value, and the approximate expression. Power consumption prediction processing for calculating the power consumption of the day in units of time zones and storing the calculation results in the storage means in units of time zones;
Read the power consumption of all time zones of the prediction target date from the storage means, subtract the partial supply threshold value from the read power consumption, respectively, and the total value of the power consumption obtained as a result A power procurement amount prediction process in which the predicted value of the power procurement amount on the load following supplier side is
The partial supply control device according to claim 6, wherein: A partial supply control device for controlling power supply in partial supply,
Storage means for storing power consumption and weather information in a predetermined past target period;
The power consumption of the past target period is regularly received from the outside as power consumption in a predetermined time zone, and these power consumptions are defined so that a specific tendency appears in the daily power consumption A first information storage process for allocating to any one of a plurality of categories and storing in the storage means; and a first for storing the weather forecast data and past weather data periodically received from the outside as the weather information in the storage means. Transmission / reception control means for executing the information storage processing of 2;
The power consumption amount of the past target period is read from the storage unit, and the read power consumption amount of the past target period is a first power value that is a substantially constant power consumption portion that does not depend on weather conditions or the number of people in the building. A second power value that is a power portion consumed by a person-dependent device whose power consumption increases or decreases depending on the number of people in the building, and a power portion that is consumed by a weather-dependent device whose power consumption increases or decreases depending on weather conditions And calculating the power consumption for the prediction target day set after the day when the prediction calculation is performed, by performing the multiple regression analysis with the third power value, and calculating the result Power consumption predicting means for storing in the storage means in units of the time zone;
A threshold setting means for receiving and setting a threshold for partial supply, which is a boundary between the contract power for partial supply of the base supplier and the contract power for partial supply of the load following supplier, from outside;
With
The power consumption prediction means includes
The power consumption during a period when the human-dependent device and the weather-dependent device are not operating is read from the storage means, and an average of the read power consumption is stored in the storage means as the first power value. A first calculation process to store;
Reading the first power value and the power consumption during the period when the human-dependent device is operating from the storage means, classifying the read power consumption by the category and the time zone, and the same category In addition, a minimum value is extracted from each of the power consumptions classified in the same time zone, the first power value is further subtracted from each obtained minimum value, and each power value obtained as a result of the subtraction is obtained. A second calculation process for storing in the storage means as the second power value classified by the category and the time zone, respectively,
The first power value, the second power value, and the power consumption during a period in which the weather-dependent device is operating are read from the storage means, and the first power value is read from the read power consumption. A subtraction process for subtracting the power value and the second power value classified in the same segment and in the same time zone as the power consumption is performed on the power consumption in all the read time zones, and the subtraction is performed. A third calculation process for storing all the power values obtained as a result in the storage means as a third power value in the past target period each classified in a time zone unit;
Reading out the first power value, the second power value, the third power value in the past target period, and weather information of a period during which the weather-dependent device is operating from the storage unit Based on the obtained information, an approximate expression of the third power value is derived so as to be a function of the weather information, and the prediction target is further calculated based on the first power value, the second power value, and the approximate expression. Power consumption prediction processing for calculating the power consumption of the day in units of time zones and storing the calculation results in the storage means in units of time zones;
Read the power consumption of all time zones of the prediction target date from the storage means, subtract the partial supply threshold value from the read power consumption, respectively, and the total value of the power consumption obtained as a result A power procurement amount prediction process in which the predicted value of the power procurement amount on the load following supplier side is
The partial supply control apparatus characterized by performing. A partial supply method by a partial supply control device for controlling power supply in partial supply,
The partial supply control device has a storage unit for storing power consumption and weather information of a predetermined past target period,
The power consumption of the past target period is regularly received from the outside as power consumption in a predetermined time zone, and these power consumptions are defined so that a specific tendency appears in the daily power consumption A first information accumulating process for allocating to any of a plurality of categories and accumulating in the storage unit; a second for accumulating the weather forecast data and past meteorological data periodically received from outside as the weather information in the storage unit; An information storage step for executing
The power consumption amount of the past target period is read from the storage unit, and the read power consumption amount of the past target period is a first power value that is a substantially constant power consumption portion that does not depend on weather conditions or the number of people in the building. A second power value that is a power portion consumed by a person-dependent device whose power consumption increases or decreases depending on the number of people in the building, and a power portion that is consumed by a weather-dependent device whose power consumption increases or decreases depending on weather conditions And calculating the power consumption for the prediction target day set after the day when the prediction calculation is performed, by performing the multiple regression analysis with the third power value, and calculating the result Predicting calculation step for storing in the storage unit in the time zone unit,
When receiving a notification indicating that it is the contract power calculation date and time, based on the information obtained in the process of the prediction step, the contract power for partial supply of the base supplier and the contract for partial supply of the load following supplier A threshold setting step for setting a threshold for partial supply that is a boundary with electric power;
including,
The partial supply method characterized by the above-mentioned. The prediction calculation step includes:
The power consumption during a period when the human-dependent device and the weather-dependent device are not operating is read from the storage unit, and the average of the read power consumption is stored in the storage unit as the first power value. A first calculation process to store;
Reading the first power value and the power consumption during the period when the human-dependent device is operating from the storage unit, classifying the read power consumption by the category and the time zone, and the same category In addition, a minimum value is extracted from each of the power consumptions classified in the same time zone, the first power value is further subtracted from each obtained minimum value, and each power value obtained as a result of the subtraction is obtained. , A second calculation process for storing in the storage unit as the second power value classified by the classification and the time zone, respectively,
Reading the first power value, the second power value, and the power consumption during the period in which the weather-dependent device is operating from the storage unit, and from the read power consumption, the first power value A subtraction process for subtracting the power value and the second power value classified in the same segment and in the same time zone as the power consumption is performed on the power consumption in all the read time zones, and the subtraction is performed. A third calculation process for storing all the power values obtained as a result in the storage unit as a third power value in the past target period, each of which is classified in units of time zones;
Reading out the first power value, the second power value, the third power value in the past target period, and weather information of a period in which the weather-dependent device is operating from the storage unit, Based on the obtained information, an approximate expression of the third power value is derived so as to be a function of the weather information, and the prediction target is further calculated based on the first power value, the second power value, and the approximate expression. Power consumption prediction processing for calculating the power consumption of the day in units of time zones, and storing the calculation results in the storage unit in units of time zones;
Read the power consumption of all time zones of the prediction target date from the storage unit, subtract the partial supply threshold from the read power consumption, respectively, and the total value of the power consumption obtained as a result A power procurement amount prediction step with a predicted value of the power procurement amount on the load following supplier side,
The partial supply method according to claim 10, comprising: In the threshold setting step, the first power value is set as the partial supply threshold.
The partial supply method according to claim 11. In the threshold value setting step, the first power value and the maximum value of the second power value are read from the storage unit, and the first power value is added to the maximum value of the second power value. Set the calculated result as the partial supply threshold,
The partial supply method according to claim 11. In the threshold value setting step, the first power value and the second power value are read from the storage unit, an average power of the second power value is calculated, and the first power value is calculated as the first power value. A calculation result obtained by adding the power value is set as the partial supply threshold;
The partial supply method according to claim 11. A partial supply method by a partial supply control device for controlling power supply in partial supply,
The partial supply control device stores the power consumption and weather information of the past target period specified in advance, and the charge information about the electricity charge calculated by the base supplier and the electricity charge calculated by the load following supplier. Suppose you have a storage unit to store in advance,
The power consumption of the past target period is regularly received from the outside as power consumption in a predetermined time zone, and these power consumptions are defined so that a specific tendency appears in the daily power consumption A first information accumulation process for allocating to any of a plurality of categories and accumulating in the storage unit, and a weather forecast data and past meteorological data periodically received from outside are accumulated in the storage unit as the weather information. An information storage step for executing the information storage process of 2;
When receiving a notification indicating that it is the contract power calculation date and time, based on the power consumption of the past target period accumulated in the storage unit and the charge information stored in the storage unit, the base supplier part A threshold setting step for setting a threshold for partial supply that is a boundary between the contracted power for supply and the contracted power for partial supply of the load following supplier;
including,
The partial supply method characterized by the above-mentioned. In the threshold setting step,
Read all the power consumption of the past target period from the storage unit, total the read power consumption for each time zone, and the time of the power consumption classified by the aggregation as the unit of the same time zone Calculate the average value for each band,
Thereafter, the charge information stored in the storage unit is read, and based on the read charge information and the average value of the power consumption for each time period, the total of the electricity charge by the base supply and the electricity charge by the load following supply is calculated. Calculate the threshold for partial supply that will be the cheapest,
The partial supply method according to claim 15. further,
The power consumption amount of the past target period is read from the storage unit, and the read power consumption amount of the past target period is a first power value that is a substantially constant power consumption portion that does not depend on weather conditions or the number of people in the building. A second power value that is a power portion consumed by a person-dependent device whose power consumption increases or decreases depending on the number of people in the building, and a power portion that is consumed by a weather-dependent device whose power consumption increases or decreases depending on weather conditions And calculating the power consumption for the prediction target day set after the day when the prediction calculation is performed, by performing the multiple regression analysis with the third power value, and calculating the result A predictive calculation step of storing in the storage unit in units of time zones,
Including
The prediction calculation step includes:
The power consumption during a period when the human-dependent device and the weather-dependent device are not operating is read from the storage unit, and the average of the read power consumption is stored in the storage unit as the first power value. A first calculation process to store;
Reading the first power value and the power consumption during the period when the human-dependent device is operating from the storage unit, classifying the read power consumption by the category and the time zone, and the same category In addition, a minimum value is extracted from each of the power consumptions classified in the same time zone, the first power value is further subtracted from each obtained minimum value, and each power value obtained as a result of the subtraction is obtained. , A second calculation process for storing in the storage unit as the second power value classified by the classification and the time zone, respectively,
Reading the first power value, the second power value, and the power consumption during the period in which the weather-dependent device is operating from the storage unit, and from the read power consumption, the first power value A subtraction process for subtracting the power value and the second power value classified in the same segment and in the same time zone as the power consumption is performed on the power consumption in all the read time zones, and the subtraction is performed. A third calculation process for storing all the power values obtained as a result in the storage unit as a third power value in the past target period, each of which is classified in units of time zones;
Reading out the first power value, the second power value, the third power value in the past target period, and weather information of a period in which the weather-dependent device is operating from the storage unit, Based on the obtained information, an approximate expression of the third power value is derived so as to be a function of the weather information, and the prediction target is further calculated based on the first power value, the second power value, and the approximate expression. Power consumption prediction processing for calculating the power consumption of the day in units of time zones, and storing the calculation results in the storage unit in units of time zones;
Read the power consumption of all time zones of the prediction target date from the storage unit, subtract the partial supply threshold from the read power consumption, respectively, and the total value of the power consumption obtained as a result A power procurement amount prediction process in which the predicted value of the power procurement amount on the load following supplier side is
The partial supply method according to claim 15 or 16, characterized by comprising: A partial supply method by a partial supply control device for controlling power supply in partial supply,
The partial supply control device has a storage unit for storing power consumption and weather information of a predetermined past target period,
The power consumption of the past target period is regularly received from the outside as power consumption in a predetermined time zone, and these power consumptions are defined so that a specific tendency appears in the daily power consumption A first information accumulating process for allocating to any of a plurality of categories and accumulating in the storage unit; a second for accumulating the weather forecast data and past meteorological data periodically received from outside as the weather information in the storage unit; An information storage step for executing
The power consumption amount of the past target period is read from the storage unit, and the read power consumption amount of the past target period is a first power value that is a substantially constant power consumption portion that does not depend on weather conditions or the number of people in the building. A second power value that is a power portion consumed by a person-dependent device whose power consumption increases or decreases depending on the number of people in the building, and a power portion that is consumed by a weather-dependent device whose power consumption increases or decreases depending on weather conditions And calculating the power consumption for the prediction target day set after the day when the prediction calculation is performed, by performing the multiple regression analysis with the third power value, and calculating the result Predicting calculation step for storing in the storage unit in the time zone unit,
A threshold setting step for receiving and setting a threshold for partial supply, which is a boundary between the contract power for partial supply of the base supplier and the contract power for partial supply of the load following supplier, from the outside;
Including
The prediction calculation step includes:
The power consumption during a period when the human-dependent device and the weather-dependent device are not operating is read from the storage unit, and the average of the read power consumption is stored in the storage unit as the first power value. A first calculation process to store;
Reading the first power value and the power consumption during the period when the human-dependent device is operating from the storage unit, classifying the read power consumption by the category and the time zone, and the same category In addition, a minimum value is extracted from each of the power consumptions classified in the same time zone, the first power value is further subtracted from each obtained minimum value, and each power value obtained as a result of the subtraction is obtained. , A second calculation process for storing in the storage unit as the second power value classified by the classification and the time zone, respectively,
Reading the first power value, the second power value, and the power consumption during the period in which the weather-dependent device is operating from the storage unit, and from the read power consumption, the first power value A subtraction process for subtracting the power value and the second power value classified in the same segment and in the same time zone as the power consumption is performed on the power consumption in all the read time zones, and the subtraction is performed. A third calculation process for storing all the power values obtained as a result in the storage unit as a third power value in the past target period, each of which is classified in units of time zones;
Reading out the first power value, the second power value, the third power value in the past target period, and weather information of a period in which the weather-dependent device is operating from the storage unit, Based on the obtained information, an approximate expression of the third power value is derived so as to be a function of the weather information, and the prediction target is further calculated based on the first power value, the second power value, and the approximate expression. Power consumption prediction processing for calculating the power consumption of the day in units of time zones, and storing the calculation results in the storage unit in units of time zones;
Read the power consumption of all time zones of the prediction target date from the storage unit, subtract the partial supply threshold from the read power consumption, respectively, and the total value of the power consumption obtained as a result A power procurement amount prediction step with a predicted value of the power procurement amount on the load following supplier side,
The partial supply method characterized by including. A computer operating as a partial supply control device for controlling power supply in partial supply;
Storage means, transmission / reception control means, power consumption prediction means and threshold value setting means according to any one of claims 1 to 9,
Partial supply program to function as

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