JP2017163780A - Self consignment support apparatus and self consignment system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a self consignment support apparatus and a self consignment system which can efficiently reduce urgency of demand and supply of electric power.SOLUTION: A self consignment support apparatus 1 includes: a data acquisition part 11 for acquiring data on power consumption amount; and a data processing unit 13 for calculating a self consignment electric power amount, which is the amount of electric power that an electric power supply facility is to supply to a commercial electric power system per further unit time, and generating self consignment electric power amount data including information on the self consignment electric power amount. The data processing unit 13 performs calculation so that a self consignment electric power amount per further unit time in which a predicted power consumption amount exceeds a predetermined threshold electric power amount larger than the power consumption amount set for the electric power consuming facility, which is 0, is not smaller than the electric power amount required for supplying an exceeding electric power amount, which is an electric power amount obtained by subtracting the threshold electric power amount to the predicted power consumption amount.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a self-consignment support device that supports self-consignment and a self-consignment system including the self-consignment support device.

  The amount of power that can be supplied by general electric utilities has greatly decreased due to the suspension and reexamination of nuclear power generation facilities triggered by the earthquake disaster. As a result, the tightening of power supply and demand became a real problem, and as a result of the liberalization of the electric power business, new electric power companies (specification companies that retail electric power separately from general electric power companies) Electricity producers and suppliers (PPS: Power Producer and Supplier) are increasing rapidly.

  Since the new electric power company does not have a power transmission network for supplying power to the contractor, the new electric power company supplies power (consignment) through a commercial power system that is a power transmission network managed by a general electric power company. Allowing new electric power companies to supply power is preferable in terms of reducing the tightness of power supply and demand, but power instability in commercial power systems (for example, voltage and frequency abnormalities, large-scale power outages, etc.) ). Therefore, it is obliged for new electric power companies to supply the same amount of power as the planned value in unit time (for example, 30 minutes) or the actual power demand of the contractor (simultaneous same amount).

  When a new electric power company fails to supply electric power that satisfies the same amount simultaneously, the general electric power company stabilizes the electric power in the commercial power system by increasing the power generation amount by the amount of the failure. In this case, the new electric power company is obliged to pay a large imbalance fee to the general electric power company, including the implication of a penalty for threatening the stability of power in the commercial power system. Therefore, it is extremely important for new power companies to supply power that satisfies the same amount simultaneously.

  Thus, for example, Patent Document 1 proposes a generated power control apparatus that estimates the amount of power generation required to satisfy the same amount simultaneously. This generated power control apparatus not only predicts actual power demand, but also estimates the required power generation amount by taking into account estimation errors and transmission loss.

JP 2003-189479 A

  Most of the new electric power companies have a very low ability to supply electric power compared to general electric power companies. In addition, it is difficult for long-term and continuous supply of stable power above a certain level to new power companies that rely only on natural energy such as solar and wind power, and small and medium-sized new power companies. There are potential problems, such as that there is a problem, and there is a high possibility of withdrawal without the ability to continue the business. Therefore, even if a large number of new power companies enter the power supply business, there is a concern that the amount of power supplied to the commercial power system will not increase so much and the tightness of power supply and demand will not be reduced so much. Furthermore, since the demand for electric power continues to increase, it is expected that the tight supply and demand of power will become a very serious problem in the future.

  Therefore, an object of the present invention is to provide a self-delivery support device and a self-delivery system that can effectively reduce the tightness of power supply and demand.

  In order to achieve the above object, the present invention provides power supplied to a commercial power system by a power supply facility operated by a predetermined operator by the operator or another operator belonging to the same entity as the operator. A self-consignment support apparatus that supports self-consignment transportation that is operated and accommodates a power consumption facility that receives and consumes power supplied from the commercial power system, and is a time series of the amount of power consumed in the power consumption facility A data acquisition unit that acquires power consumption data including the information of the data, and is predicted to be consumed at the power consumption facility in a predetermined unit time in the future obtained from the power consumption data acquired by the data acquisition unit The self-consigned power amount, which is the amount of power that the power supply facility should supply to the commercial power system in the unit time, is calculated based on the predicted power consumption amount that is A data processing unit that generates self-consigned power amount data including power amount information, wherein the data processing unit is a predetermined value in which the predicted power consumption amount is greater than 0 set for the power consumption facility The self-consigned power amount in the unit time in the future exceeding the threshold power amount is accommodated to the power consumption facility, which is the power amount obtained by subtracting the threshold power amount from the predicted power consumption amount. The self-consignment support device is characterized in that it is calculated so as to be equal to or greater than the amount of power required for the purpose.

  According to this self-consignment support device, it is possible to realize peak cuts in power demand in a power consuming facility by performing self-consignment according to the generated self-consigned power amount data. In addition, the reduction in power charges achieved by realizing peak cuts in power demand at power consuming facilities is a huge advantage for businesses, so a self-conveying system equipped with a power supply facility for self-consignment. Promotion can be promoted. That is, the amount of power supplied to the commercial power system can be increased.

  Further, in the above self-consignment support device, the power supply facility includes at least one power storage device configured to be able to supply discharged power to the commercial power system, and the data processing unit includes: Discharge power amount that is the amount of power that the power supply facility should supply to the commercial power system by discharging the power storage device in the unit time in the future and that corresponds to part or all of the self-consigned power amount Is calculated, and the self-consigned power amount data including the information on the discharge power amount is preferably generated.

  In particular, the data processing unit is necessary for the discharge power amount in the unit time in the future when the predicted power consumption exceeds the threshold power amount to accommodate the excess power amount for the power consumption facility. It is preferable to calculate so that the amount of power is greater than or equal to.

  This self-delivery support device has characteristics suitable for the spread of self-delivery systems (for example, low cost, easy installation, low time required for power supply and low energy loss, etc.) Is assumed to be used. Therefore, by providing this self-consignment support apparatus, the spread of the self-consignment system can be promoted.

  Furthermore, in the above self-consignment support device, it is preferable that the data processing unit calculates the self-consignment power amount in the unit time in the future in which the predicted power consumption does not exceed the threshold power amount as 0.

  Since this self-consignment support apparatus does not perform self-consignment other than the peak cut of power demand at the power consuming facility, the charge required for self-consignment can be minimized. Therefore, by providing this self-consignment support apparatus, the spread of the self-consignment system can be promoted.

  Further, in the self-consignment support device, the power supplied from the power supply facility to the commercial power system can be accommodated to a plurality of the power consumption facilities, and the data processing unit includes at least one of the power The power required for the self-consigned power consumption in the unit time in the future when the predicted power consumption amount of the consumption facility exceeds the threshold power amount to accommodate the excess power amount for each of the power consumption facilities It is preferable to calculate so as to be more than the amount.

  According to this self-consignment support device, it is possible to achieve peak cuts in power demand in a plurality of power consumption facilities.

  In the self-consignment support apparatus, the data processing unit may calculate the maximum amount of power that can be supplied by the power supply facility in the unit time in the future when the predicted power consumption exceeds the threshold power amount. Even if it is supplied to a commercial power system, if the excess power cannot be accommodated in the power consuming facility, it is preferable to generate data for informing that effect.

  According to this self-consignment support device, it is possible to notify the operator of the power consuming facility and the like that it is difficult to cut the peak of the power demand at the power consuming facility. It becomes possible to take measures.

  In the self-consignment support device, the data processing unit may provide the power consumption facility with the self-consigned power amount in the unit time in the future when the predicted power consumption exceeds the threshold power amount. While calculating so as to be more than the amount of power necessary to accommodate the excess power amount, the expected value of the profit or loss that occurs when the power supply facility supplies the self-consigned power amount to the commercial power system, Preferably, the self-consigned power amount data including the information on the self-consigned power amount is generated when the expected power consumption is calculated based on the prediction reliability of the predicted power consumption and the expected value is equal to or greater than a predetermined threshold amount.

  According to this self-consignment support device, it is possible to suppress the occurrence of loss due to unnecessary self-consignment. Therefore, by providing this self-consignment support device, the spread of the self-consignment system can be promoted.

  Further, in the self-consignment support device, the data acquisition unit is one of the power consumption data, and is data submitted from a business operator operating the power consumption facility in the future unit time. It is preferable to obtain predicted power consumption data including information on the predicted power consumption.

  According to this self-consignment support device, by entrusting calculation of the predicted power consumption to an operator (for example, an operator of the power consumption facility) operating the power consumption facility that is familiar with the power consumption facility, A predicted power consumption close to the actual power consumption in the power consumption facility can be obtained.

  In the above self-consignment support device, the data acquisition unit is one of the power consumption data, and the actual power consumption is the amount of power consumed in the power consumption facility in the past unit time. Conditional data including information on actual power consumption data including information and information on predicted events that are events that are predicted to occur in the unit time in the future and that affect the power consumed by the power consuming facility. And the data processing unit calculates the amount of power predicted to be consumed at the power consuming facility in the future unit time based on the actual power consumption data and the condition data. It is preferable to perform trial calculation and generate trial calculation predicted power consumption data that includes information on the power consumption and is useful for predicting the predicted power consumption.

  According to this self-consignment support device, it is possible to generate trial calculation predicted power consumption data that is data useful for prediction of predicted power consumption.

  The self-consignment support apparatus further includes a database for recording data, and the data acquisition unit is one of the power consumption data, and is consumed at the power consumption facility in the past unit time. The actual power consumption data including information on the actual power consumption that is the amount of power that has been acquired is acquired, and the database includes information on the predicted power consumption in the past unit time predicted in the past, It is preferable to record past predicted case data that includes information on the actual power consumption in the unit time and is useful for predicting the predicted power consumption.

  According to this self-consignment support device, it is possible to generate past predicted case data that is useful for predicting the predicted power consumption and store it in the database.

  Moreover, the self-consignment delivery system of the present invention comprises the above self-consignment support device and the power supply facility where the self-consignment power amount is calculated by the self-consignment support device.

  According to this self-consignment system, it is possible to achieve peak cuts in power demand in a power consuming facility by performing self-consignment according to self-consigned power amount data generated by the self-consignment support device. Furthermore, since the reduction in power charges achieved by realizing peak cuts in power demand at power consuming facilities is a great advantage for businesses, the spread of the self-consignment system can be promoted. That is, the amount of power supplied to the commercial power system can be increased.

  In the above self-conveying system, it is preferable that the power supply facility includes a power storage device.

  This self-conveying system includes a power storage device having characteristics suitable for popularization (for example, low cost, easy installation, and a short time and energy loss required to reach a state where power can be supplied). Therefore, the spread of the self-consignment system can be promoted.

  In the above self-consignment system, it is preferable that the power supply facility includes a power storage device configured with a lithium ion battery.

  Unlike the redox flow battery and sodium-sulfur battery, this self-consignment system is equipped with a lithium-ion battery that does not require standby power (power for solution circulation or high temperature maintenance), thus reducing unnecessary power consumption. can do.

  In the self-consignment system, it is preferable that the power supply facility includes a used power storage device that has been used for any purpose in the past.

  According to this self-consignment system, since an inexpensive second-hand power storage device is used, the cost of the power supply facility can be reduced. Therefore, the spread of the self-consignment system can be promoted.

  In the above self-consignment system, the power supply facility is configured to be able to supply power to a predetermined load via a power line independent from the commercial power system.

  According to this self-consignment system, the power supply facility can be used not only for self-consignment but also as an emergency power source for the load.

  According to the self-consignment support apparatus and the self-consignment system having the above characteristics, it is possible to achieve peak cut of power demand in the power consumption facility and increase the amount of power supplied to the commercial power system. Therefore, the tightness of power supply and demand can be effectively reduced.

The conceptual diagram which showed the outline | summary of self-delivery. The block diagram shown about an example of a structure of the self-delivery support apparatus which concerns on embodiment of this invention. The typical time series graph shown about an example of the calculation method of self-consignment electric energy. The typical time series graph shown about another example of the calculation method of self-consignment electric energy. The typical time series graph shown about an example of the calculation method of the amount of self-consignment electric power in the case of accommodating the electric power by self-consignment with respect to a some power consumption facility.

<< Self-consignment >>
The inventor of the present application has found that the use of self-consignment is effective in reducing the recent tightness of power supply and demand, and has reached the present invention. Therefore, before describing the embodiment of the present invention, first, self-delivery will be described with reference to the drawings. FIG. 1 is a conceptual diagram showing an outline of self-delivery.

  As shown in FIG. 1, self-consignment means that power supplied to a commercial power system P by a power supply facility S operated by a predetermined operator B <b> 1 is received from the commercial power system P and consumed. This is to accommodate the consumption facility D. However, the power consumption facility D is a business B1 that operates the power supply facility S or the same business entity as the business B1 (for example, belonging to the same company group or having a long-term business relationship, etc.) Is operated by another business operator B2 belonging to a group of business operators having

  When self-consignment is performed, commercial power is supplied so that the amount of power consumed by the power consumption facility D received from the commercial power system P is reduced by the amount of power supplied by the power supply facility S to the commercial power system P. It is settled at a business operator (for example, a general electric power company) that manages the system P. In addition, the business operator B1 that operates the power supply facility S pays a fee corresponding to the amount of power supplied to the commercial power system P by self-consignment to the business operator that manages the commercial power system P.

  Self-consignment is a non-electric business aimed at self-consumption of surplus power, and is supplied to the commercial power system P, unlike ordinary consignment, which is an electric business for the purpose of pursuing profits performed by new power companies. It has an aspect of responding to the public demand for an increase in the amount of power generated. In addition, self-consignment, which is a non-electric business, has failed because the amount of power supplied to the commercial power system P is not so large compared to normal consignment, which is an electric business. However, the degree of harming the stability of the power of the commercial power system P is small.

  In consideration of such circumstances, in self-consignment, use conditions that are advantageous to the business operator that supplies power to the commercial power system P are set as compared with normal consignment. For example, in self-consignment, a fee system that is less expensive than normal consignment is adopted (for example, a completely pay-as-you-go system without a basic fee can be selected). Further, for example, in self-consignment, the condition (condition for generating an imbalance fee payment obligation) determined to have failed to supply power that satisfies the same amount is relaxed compared to normal consignment.

  If a large number of businesses perform this self-consignment, the amount of power supplied to the commercial power system P increases, so that the tightness of power supply and demand can be reduced. Furthermore, as described above, the failure of self-consignment is so small that the stability of the power of the commercial power system P is harmed. Therefore, even if many operators carry out self-consignment, the power of the commercial power system P is kept stable. be able to.

  However, by setting usage conditions that are advantageous to the operator compared to normal consignment as described above (for example, an inexpensive fee structure and relaxed judgment conditions for simultaneous equal amount failures) It is difficult to have a large number of businesses carry out self-consignment because the benefits obtained by doing so are not so great. In particular, it is necessary to install a power supply facility S in order to carry out self-consignment. However, the cost for installing this power supply facility S is increased, and the operator avoids the introduction of self-consignment. It is a cause.

  The self-consignment support apparatus according to the embodiment of the present invention described below solves this problem, and allows the operator to obtain a tremendous advantage by performing self-consignment. This promotes the spread of a self-consignment system equipped with a power supply facility S for performing, increases the amount of power supplied to the commercial power system P, and reduces the tightness of power supply and demand.

<< Self-consignment support device >>
An example of the configuration of a self-delivery support device according to an embodiment of the present invention will be described with reference to the drawings. FIG. 2 is a block diagram showing an example of the configuration of the self-delivery support device according to the embodiment of the present invention.

  As shown in FIG. 2, the self-consignment support device 1 includes a data acquisition unit 11, a database 12, a data processing unit 13, a data output unit 14, and a bus 15. For example, the self-consignment support device 1 is configured as part or all of a server computer and part or all of a control device of the power supply facility S.

  The data acquisition unit 11 is configured by a communication device that receives data transmitted, for example, wirelessly or by wire. For example, the data acquisition unit 11 receives and acquires data transmitted via a network such as the Internet.

  The database 12 is composed of a recording device capable of recording a large amount of data, such as a hard disk, and records data received by the data acquisition unit 11 and data generated by the data processing unit 13.

  For example, the data processing unit 13 includes an arithmetic device such as a CPU (Central Processing Unit) and a storage device such as a semiconductor memory, and the arithmetic device executes a predetermined program by executing a predetermined program. In particular, the data processing unit 13 generates predetermined data based on the data acquired by the data acquisition unit 11 or the data read from the database 12.

  The data output unit 14 includes a communication device that transmits data wirelessly or by wire, for example, and transmits data generated by the data processing unit 13 or data read from the database 12. In addition, you may comprise the data output part 14 and the data acquisition part 11 with a common communication apparatus. The data output unit 14 may be configured as a display device that displays various data as characters and images, or may be configured as a printing device that prints various data as characters and images. Further, the data output unit 14 may be composed of a plurality of types of devices according to the use of data to be output.

  The bus 15 is a data communication path used when the data acquisition unit 11, the database 12, the data processing unit 13, and the data output unit 14 exchange various data.

<Generation of self-consigned energy data>
Next, the operation of the self-delivery support device 1 will be described in order by distinguishing each data to be generated. First, the operation of the self-consignment support apparatus 1 when generating self-consigned power amount data will be described.

  The self-consigned power amount data includes information on the self-consigned power amount that is the amount of power that the power supply facility S should supply to the commercial power system P in the future unit time (the amount of power that should be supplied for self-consignment). It is data. Here, the unit time is a unit of time for measuring the maximum demand power amount (demand value) used for determining the contract power in the power consuming facility D, for example, specifically 30 minutes. The contracted power is the amount of power that a contractor who receives power supply from an electric power company such as a general electric power company can use in the contract. The larger the contracted power, the more the electric power company As the burden of supplying electricity increases, the electricity bill becomes expensive. In addition, this unit time can be a unit of time in which determination of the same amount at the same time is performed.

  First, the data acquisition unit 11 acquires power consumption data including time-series information on the amount of power consumed in the power consumption facility D. The power consumption data includes predicted power consumption data including information on a predicted power consumption that is predicted to be consumed at the power consumption facility D in the future unit time, and power consumption in the past unit time. Although there is actual power consumption data that includes information on the actual power consumption that is the amount of power consumed in the facility D, the predicted power consumption data is used to generate self-consigned power consumption data. The power consumption data (predicted power consumption data and actual power consumption data) acquired by the data acquisition unit 11 is recorded in the database 12.

  The predicted power consumption data is submitted to the self-consignment support device 1 from the business operator operating the power consumption facility D. For example, an operator of the power consumption facility D predicts the predicted power consumption and creates predicted power consumption data.

  Next, the data processing unit 13 calculates the self-consigned power consumption based on the predicted power consumption obtained from the predicted power consumption data read from the database 12 (or acquired by the data acquisition unit 11). . An example of a method for calculating the self-consigned power transmission amount will be described with reference to the drawings. FIG. 3 is a schematic time-series graph showing an example of a method for calculating the self-consigned power amount. FIG. 3A is a graph of predicted power consumption, and FIG. 3B is a graph of self-consigned power consumption. Further, in FIGS. 3A and 3B, the predicted power consumption and self-consigned power consumption per unit time (30 minutes) are represented by bar graphs.

  The threshold power amount Th shown in FIG. 3A is a target upper limit value of the power amount excluding the power amount accommodated by self-consignment from the power amount consumed in the unit time of the power consuming facility D, and a value larger than 0 It is. In other words, the threshold power amount Th is a target upper limit value of the maximum demand power amount in the power consumption facility D. The self-consignment support device 1 calculates a self-consignment power amount such that the maximum demand power amount of the power consumption facility D does not exceed the threshold power amount Th.

  Specifically, the data processing unit 13 compares the predicted power consumption with the threshold power Th. At this time, for the future unit time when the predicted power consumption exceeds the threshold power amount Th, the data processing unit 13 uses the excess power amount that is the power amount obtained by subtracting the threshold power amount Th from the predicted power consumption (FIG. 3). (A gray part in (a)) is calculated. And the data processing part 13 is more than the electric energy (gray part in FIG.3 (b)) required in order for the self-consigned electric energy in the said unit time to accommodate the excess electric energy with respect to the power consumption facility D. Calculate as follows.

  For example, as shown in FIG. 3B, the data processing unit 13 converts the self-consigned power amount in the unit time in which the excess power amount is generated into the self-consigned power amount in the unit time in which the excess power amount is not generated (see FIG. It is calculated as the amount of power obtained by adding the amount of power corresponding to the excess power amount (the gray portion in FIG. 3B) to the white portion in b).

  The excess power amount in the predicted power consumption amount shown in FIG. 3A (gray area in the figure) and the power amount corresponding to the excess power amount in the self-consigned power amount shown in FIG. The gray area) is approximately the same size. Note that the power amounts of the two may be the same or slightly different. For example, when taking into account without ignoring the power loss in self-consignment such as transmission loss, the amount of power corresponding to the excess power amount in the self-consigned power amount (gray area in FIG. 3B) is You may make it become larger than the excess electric energy (gray area | region in Fig.3 (a)) in prediction electric power consumption by the part for loss.

  Then, the data processing unit 13 generates self-consigned power amount data including information on the calculated self-consigned power amount. Further, the data output unit 14 outputs the self-consigned power transmission amount data. Thereby, for example, the notification of the self-consigned power amount to the operator of the power supply facility S and the input of the self-consigned power amount to the power supply device in the power supply facility S are performed. A power amount based on the self-consigned power amount (for example, a power amount that matches the self-consigned power amount) is supplied from the power supply facility S to the commercial power system P in a future unit time.

  In this case, when the power consumption facility D consumes power according to the predicted power consumption, the power supply facility S supplies power according to the self-consigned power consumption, thereby realizing a peak cut in power demand at the power consumption facility D. be able to.

  Furthermore, if the peak cut of the power demand in the power consumption facility D is realized, the maximum demand power amount is reduced and the contract power determined based on the maximum demand power amount is lowered. Can do. This reduction in the electricity bill is a great advantage for the business operator, so that it is possible to promote the spread of the self-consignment system including the power supply facility S for performing self-consignment. That is, the amount of power supplied to the commercial power system P can be increased.

  As described above, the self-consignment support apparatus 1 according to the embodiment of the present invention can achieve peak cut of power demand in the power consumption facility D and increase the amount of power supplied to the commercial power system P. . Therefore, the tightness of power supply and demand can be effectively reduced.

  In addition, the calculation method of the self-consigned power transmission amount by the data processing unit 13 is not limited to the calculation method illustrated in FIG. Here, another example of the calculation method of the self-consigned transmission power amount by the data processing unit 13 will be described with reference to the drawings. FIG. 4 is a schematic time-series graph showing another example of the method for calculating the self-consigned power consumption. FIGS. 4A and 4B illustrate a method for calculating the self-consigned power amount when the excess power amount shown in FIG. 3A is calculated. FIG. 5 exemplifies a method for calculating the amount of self-consigned power when there are two power consuming facilities where power is accommodated by self-consignment.

  FIG. 4A shows that the data processing unit 13 calculates the self-consigned power amount in a unit time in which the excess power amount does not occur as a predetermined power amount, and the self-consigned power amount in the unit time in which the excess power amount occurs. Is calculated as the larger one of the predetermined electric energy and the electric energy corresponding to the excess electric energy (gray portion in FIG. 4A).

  FIG. 4B shows that the data processing unit 13 sets the self-consigned power amount in unit time when the excess power amount is generated as the power amount corresponding to the excess power amount (gray portion in FIG. 4B). An example is shown in which the self-consigned power amount in a unit time when no excess power amount is calculated is calculated as zero. As described above, when the self-consigned power amount in unit time in which the excess power amount does not occur is set to 0, the charge required for self-consignment can be minimized.

  By the way, as shown in FIG. 3 and FIG. 4A, when a certain amount of self-consigned power is generated even in a unit time in which no excess power is generated, for example, a normal operation is preferable to an intermittent operation. When the power supply facility S supplies power using a power supply device (for example, a turbine generator) or a power supply device (for example, a solar power generation device or a wind power generation device) that is difficult to control the amount of power generation In this case, the power supply facility S supplies power.

  On the other hand, as shown in FIG. 4B, the case where the self-consigned power amount in the unit time in which the excess power amount does not occur is 0, for example, a power supply device capable of intermittent operation (for example, a power storage device) Even if the power supply facility S supplies power using a power generator or a small generator, or when the power supply facility S uses a power supply device that is preferably operated at all times, the generated power This is the case where it can be consumed inside the supply facility S (it is not limited to consumption by a load but includes consumption by charging of a power storage device or conversion to thermal energy or the like).

  3 and 4, it is assumed that electric power by self-consignment is accommodated for one power consumption facility D, but power by self-consignment is accommodated for a plurality of power consumption facilities D. Of course it is also possible. Here, a method of calculating the amount of self-consigned power in the case where power by self-consignment is accommodated for a plurality of power consumption facilities D will be described with reference to the drawings. FIG. 5 is a schematic time-series graph illustrating an example of a method for calculating the self-consigned power amount when power by self-consignment is accommodated for a plurality of power consuming facilities. In addition, the calculation method of the self-consigned power amount illustrated in FIG. 5 is an application of the self-consigned power amount calculation method illustrated in FIG. 3 to the case where the power by self-consignment is accommodated to a plurality of power consumption facilities. It is.

  FIG. 5 illustrates a case where power by self-consignment is interchanged for two power consumption facilities D. 5A illustrates the case where threshold power amounts Th1 and Th2 having different magnitudes are set for the two power consumption facilities D, these may be the same magnitude. Good. In addition, in the case where power by self-consignment is accommodated for three or more power consumption facilities D, a threshold power amount having the same magnitude may be set for some or all of the power consumption facilities D.

  As shown in FIG. 5A, the data processing unit 13 compares the predicted power consumption amount of each of the plurality of power consumption facilities D with the threshold power amounts Th1 and Th2, and determines the excess power amount (FIG. 5A). 2 types of gray parts having different intensities) are calculated. Then, the data processing unit 13 calculates a self-consigned power amount having a magnitude necessary for accommodating the power amount equal to or greater than the calculated excess power amount to the power consuming facility D.

  For example, as shown in FIG. 5B, the data processing unit 13 converts the self-consigned power amount in the unit time in which the excess power amount is generated into the self-consigned power amount in the unit time in which the excess power amount is not generated (see FIG. It is calculated as the amount of power obtained by adding the sum of the amount of power corresponding to the excess power amount (two types of gray portions having different densities in FIG. 5B) to the white portion in b).

<Generation of estimated power consumption data>
Next, the operation of the self-consignment support device 1 when generating the estimated predicted power consumption data will be described.

  The estimated predicted power consumption data is data including information on the estimated predicted power consumption, which is the power that is predicted to be consumed at the power consumption facility D in the future unit time calculated by the self-consignment support device 1. . The trial calculation predicted power consumption data is useful for predicting the predicted power consumption.

  First, the data acquisition unit 11 is an event that is predicted to occur in the future unit time for calculating the estimated predicted power consumption, and is an event that affects the amount of power consumed by the power consuming facility D. Get condition data including information. The predicted event is, for example, weather (sunny, cloudy, rain, etc.), temperature, day of the week, number of visitors, event performed at the power consumption facility D, and the like. Note that part or all of the condition data may be data created and submitted by an operator of the power consumption facility D or the like, as with the predicted power consumption data, or a predetermined server (for example, weather forecast) Data that is created and distributed by a server that provides data). The condition data acquired by the data acquisition unit 11 is recorded in the database 12.

  Further, as described above, the data acquisition unit 11 acquires actual power consumption data. Note that the actual power consumption data is data including information on the actual power consumption measured by a watt-hour meter such as a smart meter installed in the power consuming facility D, and the data acquisition unit from the watt-hour meter. 11 may be transmitted directly to the data acquisition unit 11 or distributed from the watt-hour meter to the data acquisition unit 11 via a predetermined data server (for example, a data server of a general electric utility). May be data.

  Next, the data processing unit 13 reads from the database 12 the actual power consumption obtained from the actual power consumption data read from the database 12 (or acquired by the data acquisition unit 11) (or Based on the predicted event obtained from the condition data (obtained by the data obtaining unit 11), the estimated predicted power consumption is calculated.

  For example, the data processing unit 13 appropriately increases or decreases the actual power consumption in the latest or the same time in the past (for example, one year ago) or the average of the actual power consumptions according to the predicted event. To calculate the estimated power consumption.

  In addition, for example, the data processing unit 13 directly calculates the actual power consumption in the past unit time in which an event similar to the predicted event has occurred, or the electric energy obtained by averaging a plurality of the actual power consumptions, as it is. Or the estimated predicted power consumption is calculated by appropriately increasing or decreasing according to the difference between the predicted event and the event that occurred in the unit time when the actual power consumption is obtained. In this case, a predicted event predicted to occur in the past unit time obtained from the condition data recorded in the database 12 may be regarded as an event occurring in the unit time. In addition, data including information on an event that actually occurred in a past unit time (for example, an event of the same type as a predicted event) is acquired through the data acquisition unit 11 and recorded in the database 12 in the same manner as the condition data. In addition, an event occurring in the past unit time may be obtained from the data.

  Then, the data processing unit 13 generates trial calculation predicted power consumption data including information on the calculated calculation calculation predicted power consumption. Further, the data output unit 14 outputs the estimated predicted power consumption data.

  Thereby, for example, since the estimated power consumption is notified to the operator of the power consumption facility D, the operator can predict the predicted power consumption with reference to the estimated predicted power consumption.

  Note that the data processing unit 13 may calculate the estimated predicted power consumption based only on the actual power consumption.

<Generation of past predicted case data>
Next, the operation of the self-consignment support apparatus 1 when generating past predicted case data will be described.

  The past prediction case data is data including information on the predicted power consumption in the past unit time predicted in the past and information on the actual power consumption in the unit time. This past prediction case data is also useful data for predicting the predicted power consumption, similar to the above-mentioned estimated predicted power consumption data.

  The data processing unit 13 includes information on the predicted power consumption in the past unit time included in the predicted power consumption data read from the database 12 and the power consumption data included in the actual power consumption data read from the database 12. Past predicted case data is generated by combining information on the actual power consumption per unit time. Note that the data processing unit 13 may include, in the past predicted case data, a predicted event that is obtained from the condition data recorded in the database 12 and predicted to occur in the past unit time. In addition, data including information on an event that actually occurred in a past unit time (for example, an event of the same type as a predicted event) is acquired through the data acquisition unit 11 and recorded in the database 12 in the same manner as the condition data. In addition, the data processing unit 13 may obtain an event that actually occurred in the past unit time from the data, and may include the event in the past predicted case data.

  Then, the database 12 records the past predicted case data generated by the data processing unit 13. Further, the data output unit 14 outputs the past predicted case data read from the database 12 (or generated by the data processing unit 13).

  Thereby, for example, since the past predicted power consumption and the actual power consumption are notified to the operator of the power consumption facility D, the operator can predict the predicted power consumption with reference to the past predicted power consumption and the actual power consumption. The amount can be predicted. In particular, the past prediction case data can be suitably used for investigating the cause and examining the countermeasure plan when the prediction fails (when the difference between the predicted power consumption and the actual power consumption is large).

  The data processing unit 13 does not have to generate past case data for every unit time. For example, the data processing unit 13 may selectively generate only past prediction case data in which the difference between the predicted power consumption and the actual power consumption is a predetermined magnitude or more.

<< Self-consignment system >>
A self-consignment system is configured by combining the self-consignment support device 1 described above and the power supply facility S in which the amount of power to be supplied in the future unit time is calculated by the self-consignment support device 1.

  In this self-consignment system, the power supply facility S may include any power supply device. For example, the power supply facility S uses a resource consuming power generation apparatus (for example, a turbine generator, an engine generator, a fuel cell, etc.) that generates power by consuming predetermined resources, and regeneration that generates power by converting renewable energy Possible energy-based power generation devices (for example, solar power generation devices, wind power generation devices, and hydropower generation devices), power storage devices that supply power by discharging charged power (for example, lithium ion batteries, redox flow batteries, and sodium) A power supply device such as a sulfur battery may be provided.

  However, widespread use of this self-consignment system can effectively reduce the tightness of power supply and demand as described above. Therefore, even if the power supply facility S can include any type of power supply device, it is preferable that the power supply facility S includes a type of power supply device suitable for the spread of the self-consignment system.

  Specifically, the power supply equipment included in the power supply facility S can be used to accommodate the power consumption facility D with an amount of power that is greater than or equal to the excess power amount. For example, it is preferable to satisfy the requirements such as low cost and easy installation and a short time and energy loss until the power can be supplied. Moreover, since the possibility that the excess power amount is continuously generated over a long period of time is extremely low, the power supply device provided in the power supply facility S can easily change the power supplied (for example, switching between power supply and stop). Is preferable.

  A power supply device that satisfies these conditions is a power storage device. The power storage device can control the amount of electric power to be discharged, unlike a renewable energy-use power generation device in which the amount of power generation depends on natural conditions, and thus can supply an arbitrary amount of electric power. In addition, the power storage device can be easily installed at low cost because the configuration of the device is simple and small as compared with a resource-consuming power generation device having a complicated and large configuration. Furthermore, power storage devices require time and energy (resource consumption) before reaching rated operation, and are difficult to adjust the amount of power generation while maintaining high efficiency. Since a necessary amount of power can be supplied in a timely manner, time and energy loss required to reach a state where power can be supplied is small. In addition, the power storage device needs to be charged before discharging, but it is extremely unlikely that the excess electric power will be continuously generated over a long period of time, so it is possible to secure a sufficient opportunity for charging. .

  In particular, as illustrated in FIG. 4B, when the data processing unit 13 calculates the self-consigned power amount in unit time in which the excess power amount does not occur as 0, other than the peak cut of power demand in the power consumption facility D There is no self-consignment. Therefore, even when using small (small capacity) power storage devices that are suitable for the spread of self-consignment systems because they are easy to install at low cost, the peak demand for power in the power consumption facility D can be cut. Can be realized.

  As described above, the power supply facility S includes the power storage device, so that the spread of the self-consignment system can be promoted.

  By the way, even if a power storage device is installed in each of the plurality of power consumption facilities D, it is possible to perform peak cut of power demand in the power consumption facility D itself. However, in this case, since it is necessary to install the power storage device in various places, the installation cost of the power storage device becomes extremely high. In particular, in this case, even if the amount of power charged in the power storage device of a certain power consumption facility D is depleted, power cannot be supplied from the power storage device of another power consumption facility D. It is necessary to install a large-scale power storage device for each facility D.

  On the other hand, if the amount of power supplied by one power supply facility S is supplied to each of the plurality of power consumption facilities D using self-consignment, the power storage devices can be installed in a concentrated manner. Installation costs can be reduced. Furthermore, in this case, the amount of power charged in the power storage device can be easily accommodated for each of the plurality of power consumption facilities D. Therefore, although it is necessary to install a large-scale power storage device in the power supply facility S, the scale of the power storage device to be installed as a whole is smaller than the case where a power storage device is installed in each of the plurality of power consumption facilities D. can do.

  Among power storage devices, redox flow batteries and sodium-sulfur batteries require standby power (power for solution circulation and high temperature maintenance), but lithium ion batteries do not require standby power. Therefore, unnecessary power consumption can be suppressed by providing the power supply facility S with the lithium ion battery.

  In addition, as the power storage device provided in the power supply facility S, an inexpensive second-hand power storage device (one that has been used for any purpose in the past) can be used. In this case, since the cost of the power supply facility S can be reduced, the spread of the self-consignment system can be promoted. In particular, lithium ion batteries are widely used in power storage devices that supply power to electric vehicles and hybrid vehicles, and power storage devices that store power generated by renewable energy-based power generation devices. Is easy to obtain.

  The power supply facility S controls the number of power supply devices that supply power with a plurality of small power supply devices, rather than controlling the amount of power supplied with a single large power supply device. This is preferable because it is possible to efficiently supply power by setting a power supply device that supplies power to a rating (or a state close to the rating).

  In addition, the power supply facility S may include a plurality of types of power supply devices. For example, the power supply facility S may include a resource consuming power generation device and a power storage device, or may include a renewable energy utilization power generation device and a power storage device, respectively. However, based on the characteristics of the power storage device that can supply the required amount of power in a timely manner, the amount of power corresponding to the excess power amount (FIG. 3B, FIG. 4A, It is preferable to supply the gray portion in FIGS. 4B and 5B.

  Thus, when the power supply facility S includes a plurality of types of power supply devices, the data processing unit 13 preferably calculates the amount of power to be supplied for each type of power supply device. In this case, the amount of power (discharge power amount) that the power storage device should supply by discharging is calculated as a part of the self-consigned power amount. On the other hand, when the power supply facility S includes only the power storage device, the amount of power (discharge power amount) that the power storage device should supply by discharging is calculated as the total amount of self-consigned power.

  Similarly, the power supply facility S may include a plurality of types of power storage devices. For example, a redox flow battery or a sodium sulfur battery that can be easily increased in capacity and a lithium ion battery that can instantaneously discharge a large amount of power may be provided. In this case, it is preferable to supply an amount of power corresponding to the amount of excess power by discharging a lithium ion battery that can easily supply the required amount of power in a timely manner. Thus, when the power supply facility S includes a plurality of types of power storage devices, the data processing unit 13 preferably calculates the amount of power to be supplied for each type of power storage device.

  In addition, it is preferable that the data processing unit 13 calculates not only the amount of power that the power storage device should discharge in a future unit time but also the amount of power that the power storage device should charge in a future unit time. For example, in this case, the data processing unit 13 is a future unit time in which the predicted power consumption does not exceed the threshold power amount, and the predicted power consumption is absolute or relative (or absolute and relative) small. The amount of power that should be charged by the power storage device in a future unit time may be calculated to be greater than zero. For example, a future unit time in which the predicted power consumption becomes absolutely small is a future unit time in which the predicted power consumption becomes smaller than a predetermined power amount. In addition, for example, the future unit time in which the predicted power consumption becomes relatively small is the future corresponding to the first rank to the predetermined rank (rank in a predetermined period such as one day) in ascending order of the predicted power consumption. Unit time.

  In addition, when the power supply facility S includes a resource consuming power generation device or a renewable energy utilization power generation device and a power storage device, the power storage device generates surplus power generated by the resource consumption power generation device or the renewable energy utilization power generation device. You may charge. Similarly, when the power supply facility S includes a redox flow battery or a sodium sulfur battery and a lithium ion battery, the lithium ion battery may charge the electric power discharged by the redox flow battery or the sodium sulfur battery.

  One self-consignment system may include a plurality of power supply facilities S. In this case, it is preferable that the data processing unit 13 included in the self-consignment support apparatus 1 calculates the self-consigned power amount in each of the power supply facilities S.

  For example, the data processing unit 13 distributes the total amount of power to be self-consigned based on the amount of power that can be supplied by each of the power supply facilities S, so that the self-consigned power amount in each of the power supply facilities S May be calculated. Further, for example, the data processing unit 13 sets the self-consigned power amount in each of the power supply facilities S so that the loss such as the transmission loss is minimized based on the positional relationship between the power supply facility S and the power consumption facility D. It may be calculated.

  However, it is preferable to reduce the number of the power supply facilities S as much as possible and install the power supply devices collectively because the installation cost can be reduced as described above.

<< Deformation, etc. >>
[1] The amount of power consumed by the power consumption facility D does not necessarily match the predicted power consumption. Therefore, the threshold power amounts Th, Th1, Th2 (see FIGS. 3A and 5A) are set with a margin (margin) from the true upper limit value, thereby generating excess power amount. It is assumed to be avoided as much as possible. However, in this case, if the amount of power actually consumed by the power consuming facility D (actual power consumption) is significantly lower than the predicted power consumption, the self-consigned power consumption becomes unnecessarily large, resulting in an economic loss. May occur.

  Therefore, it is preferable to evaluate the profit / loss of self-consignment based on the reliability of prediction of the predicted power consumption and to perform self-consignment only when profits are produced. Note that the reliability of prediction of predicted power consumption is, for example, predicted power consumption in the same unit time obtained from past case data or predicted power consumption data and actual power consumption data recorded in the database 12. It is possible to calculate by comparing the actual power consumption, or based on the declaration of the person who predicted the predicted power consumption (for example, the operator of the power consumption facility D).

  For example, the data processing unit 13 sets the self-consigned power amount in the future unit time when the predicted power consumption exceeds the threshold power amount to the power amount necessary for accommodating the excess power amount for the power consumption facility D. And the expected value of the amount of profit or loss that occurs when the calculated self-consigned power amount is supplied to the commercial power system. Specifically, for example, the data processing unit 13 calculates a probability distribution of the amount of power consumed by the power consumption facility D based on the prediction reliability of the predicted power consumption, and obtains the contract power by suppressing the contract power. The expected value of profit or loss is calculated using the amount of profit (positive value) and the cost paid by self-consignment as the amount of loss (negative value). Then, if the expected value is equal to or greater than a predetermined threshold amount, the data processing unit 13 generates self-consigned power amount data including information on the self-consigned power amount so as to perform self-consignment.

  In this case, it is possible to suppress loss due to unnecessary self-conveyance. Therefore, by providing the self-consignment support apparatus 1 that realizes such a self-consignment system in which loss is unlikely to occur, the spread of the self-consignment system can be promoted.

  Furthermore, when the power supply facility S includes a power storage device, the amount of power that can be discharged by the power storage device (the amount of power that can be supplied for self-consignment) can be preserved by preventing unnecessary self-consignment. it can.

  Further, in order to prevent unnecessary self-consignment from being performed, a control device that suppresses self-consignment for the power supply facility S may be provided. For example, the feedback control device that feedback-controls the power supplied by the power supply facility S so that the power consumption amount in the power consumption facility D after the reduction by self-consignment approaches a target power consumption amount (for example, threshold power amount). May be provided. In addition, the power consumption amount in the power consumption facility D after the reduction by self-consignment is the power consumption amount measured in the power consumption facility D (for example, the power consumption obtained from the data measured and transmitted by the above-mentioned watt-hour meter) It can be calculated by subtracting the amount of power allocated to the power consuming facility D from the amount of power supplied by the power supply facility S.

[2] The amount of power that can be supplied by the power supply facility S is finite. In particular, when the power supply facility S includes a power storage device, the amount of power that the power storage device can supply by discharging is limited to the amount of power held at that time. Therefore, for example, when the predicted power consumption in a plurality of power consumption facilities D increases in the same future unit time, even if the maximum power amount that can be supplied by the power supply facility S is supplied, the excess power amount or more Can not be accommodated for the power consumption facility D (the total of the excess power exceeds the amount of power that can be supplied by the power supply facility S).

  Therefore, when the above situation occurs, the data processing unit 13 preferably generates data for notifying that effect. For example, the data processing unit 13 stores the amount of power that can be supplied by the power supply facility S, and generates the above data when the calculated self-consigned power amount is smaller than the power amount. In the case where the power supply facility S includes a power storage device, for example, the data processing unit 13 stores a history of the amount of power that the power storage device calculated in the past should charge and discharge, so that future units The amount of power that can be supplied by the power supply facility S in time may be calculated.

  The above data generated by the data processing unit 13 is output by the data output unit 14. As a result, the operator of the power consumption facility D can know that it is difficult to cut the peak power demand in the power consumption facility D. For example, the predicted power consumption after reviewing the operation plan of the power consumption facility D It is possible to take measures such as recalculating the amount.

[3] The power supply facility S is configured not only to be able to supply power to the commercial power system P but also to be able to supply power to a predetermined load via a power line independent from the commercial power system P. Also good. In this case, the power supply facility S can be used not only for self-consignment but also as an emergency power source for the load.

  However, if the power supply facility S does not include a power supply device that can supply sufficient power as an emergency power supply in addition to the power storage device, the power required for the data processing unit 13 to use as an emergency power supply It is preferable to calculate the amount of power that the power storage device should discharge in a future unit time so that the amount is always held in the power storage device.

[4] The power supply facility S may be configured to accept a request for demand response (relaxation of power supply / demand tightness) by a general electric utility or the like. In this case, when the power supply facility S receives a request for power supply from a general electric utility or the like, the power supply facility S supplies power to the commercial power system P. You can receive payment of compensation from the person.

  However, the power supply facility S may prioritize the supply of power for self-consignment rather than responding to a demand response request. For example, the power supply facility S may respond to a demand response request only during a unit time in which no self-consignment is scheduled. Further, when the power supply facility S includes a power storage device and supplies power for self-consignment by discharging the power storage device, for example, before the power supply facility S next discharges the power storage device, demand The demand response request may be met only when the amount of power lost by the power storage device can be recovered by charging in response to the response request.

[5] In the embodiment of the self-consignment support device 1 described above (see FIG. 2), the data acquisition unit obtains predicted power consumption data submitted from the business operator operating the power consumption facility D to the self-consignment support device 1. 11, the data processing unit 13 obtains the predicted power consumption from the predicted power consumption data. However, the data processing unit 13 may calculate the predicted power consumption.

  In this case, the data processing unit 13 may calculate the predicted power consumption by the same calculation method as the above-described calculation method of the estimated predicted power consumption. Furthermore, in this case, the data processing unit 13 does not have to calculate the trial calculation predicted power consumption and does not need to generate the trial calculation power consumption data.

  However, the power consumption amount of the power consumption facility D is difficult to predict because it varies under the influence of various events. Therefore, the predicted power consumption that is closer to the actual power consumption at the power consumption facility D when the operator operating the power consumption facility D who is familiar with the power consumption facility D is left to calculate the predicted power consumption. The quantity can be obtained.

[6] In the above-described embodiment of the self-consignment support device 1 (see FIG. 2), it has been described that the data processing unit 13 generates the estimated predicted power consumption data and the past predicted case data, but the data processing unit 13 It is not necessary to generate at least one of the data. Furthermore, when the data processing unit 13 does not generate the trial calculation predicted power consumption data and the past prediction case data, the data acquisition unit 11 may not acquire the actual power consumption data and the condition data.

  INDUSTRIAL APPLICABILITY The present invention can be used in a self-consignment support device that supports self-consignment and a self-consignment system that includes the self-consignment support device.

1: Self-consignment support device 11: Data acquisition unit 12: Database 13: Data processing unit 14: Data output unit S: Power supply facility P: Commercial power system D: Power consumption facility B1, B2: Business

Claims (15)

Supply power from the commercial power grid, operated by a power supply facility operated by a predetermined business, to the commercial power grid, operated by the business or another business belonging to the same business entity as the business A self-consignment support device that supports self-consignment that is flexible for power consumption facilities that receive and consume,
A data acquisition unit for acquiring power consumption amount data including time-series information of the amount of power consumed in the power consumption facility;
Based on the predicted power consumption obtained from the power consumption data acquired by the data acquisition unit and predicted to be consumed at the power consumption facility in a predetermined future unit time, the unit time A data processing unit that calculates a self-consigned power amount that is the amount of power that the power supply facility should supply to the commercial power system, and generates self-consigned power amount data that includes information on the self-consigned power amount. ,
The data processing unit is configured such that the self-consigned power amount in the future unit time when the predicted power consumption amount exceeds a predetermined threshold power amount larger than 0 set for the power consumption facility Self-consignment support device, characterized in that it is calculated so as to be equal to or greater than the amount of power required to accommodate the excess power amount, which is the power amount obtained by subtracting the threshold power amount from the predicted power consumption amount for the consumption facility . The power supply facility includes at least one power storage device configured to be able to supply discharged power to the commercial power system,
The data processing unit is a power amount that the power supply facility should supply to the commercial power system by discharging the power storage device in the unit time in the future, and corresponds to a part or all of the self-consigned power amount The self-consignment support apparatus according to claim 1, wherein the self-consignment power amount data including information on the discharge power amount is generated by calculating a discharge power amount that is a quantity.   The data processing unit is configured such that the discharge power amount in the unit time in the future when the predicted power consumption exceeds the threshold power amount is necessary for accommodating the excess power amount for the power consumption facility. The self-consignment support device according to claim 2, wherein the self-consignment support device is calculated so as to be equal to or greater than the amount.   The said data processing part calculates the said self-consignment electric energy in the said unit time in the future when the said predicted electric energy consumption does not exceed the said threshold electric energy as 0, The any one of Claims 1-3 characterized by the above-mentioned. Self-consignment support device according to item. The power supplied by the power supply facility to the commercial power system can be accommodated to a plurality of the power consumption facilities,
The data processing unit is configured such that the self-consigned power amount in the unit time in the future in which the predicted power consumption amount of at least one of the power consumption facilities exceeds the threshold power amount, for each of the power consumption facilities. The self-consignment support device according to any one of claims 1 to 4, wherein the self-consignment support device is calculated so as to be equal to or greater than a power amount necessary for accommodating an excess power amount.   In the future unit time when the predicted power consumption exceeds the threshold power amount, the data processing unit may supply the maximum power amount that can be supplied by the power supply facility to the commercial power system. The self-consignment support according to any one of claims 1 to 5, wherein when the excess power amount cannot be accommodated for a power consuming facility, data for notifying the fact is generated. apparatus.   The data processing unit is necessary to allow the power consumption facility to accommodate the self-consigned power amount in the unit time in the future when the predicted power consumption exceeds the threshold power amount. Calculated to be equal to or greater than the amount of electric power, and the expected value of the amount of profit or loss that occurs when the power supply facility supplies the self-consigned power amount to the commercial power system is used as the prediction reliability of the predicted power consumption amount 7. The self-consigned power amount data including the information on the self-consigned power amount is generated when the expected value is equal to or greater than a predetermined threshold amount. The self-consignment support device according to item 1.   The data acquisition unit is one of the power consumption data, and includes information on the predicted power consumption in the unit time in the future, which is data submitted by a business operator operating the power consumption facility. Predictive power consumption data is acquired, The self-consignment assistance apparatus of any one of Claims 1-7 characterized by the above-mentioned. The data acquisition unit is one of the power consumption data, actual power consumption data including information of actual power consumption that is the amount of power consumed in the power consumption facility in the past unit time; , Condition data including information on a predicted event that is an event that is predicted to occur in the unit time in the future and affects the amount of power consumed by the power consuming facility, and
The data processing unit, based on the actual power consumption data and the condition data, calculates a power amount predicted to be consumed at the power consumption facility in the unit time in the future, and obtains information on the power amount. 9. The self-conveyance support apparatus according to claim 8, wherein trial calculation predicted power consumption data that is included and is useful for prediction of the predicted power consumption is generated. A database for recording data;
The data acquisition unit includes actual power consumption data including information of actual power consumption that is one of the power consumption data, which is the amount of power consumed in the power consumption facility in the past unit time. To get and
The database includes information on the predicted power consumption in the past unit time predicted in the past and information on the actual power consumption in the unit time, and is useful for prediction of the predicted power consumption. 10. The self-consignment support apparatus according to claim 8, wherein past predicted case data that is data is recorded. The self-consignment support device according to any one of claims 1 to 10,
And a power supply facility for calculating the self-consigned power amount by the self-consignment support device.   The self-consignment system according to claim 11, wherein the power supply facility includes a power storage device.   The self-consignment system according to claim 11 or 12, wherein the power supply facility includes a power storage device configured by a lithium ion battery.   The self-consignment system according to any one of claims 11 to 13, wherein the power supply facility includes a used power storage device that has been used for any purpose in the past. The self-consignment according to any one of claims 11 to 14, wherein the power supply facility is configured to be able to supply power to a predetermined load via a power line independent of the commercial power system. system.