JP2016045560A - Electricity bill plan selection system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an electricity bill plan selection system for selecting an optimum electricity bill plan in consideration of the consumption characteristic of a power consumer in accordance with a variation condition (time zone, day of the week, or season), even in a case that sufficient consumption record is not accumulated.SOLUTION: The system includes: bill plan storing means 106; actual used amount measuring means 101; use history storage storing means 102; power use model storing means 103; used amount estimating means 104; bill calculating means 105; and electricity bill selecting means 107. On the basis of the electricity bill calculated by the bill calculating means 105, an electricity bill plan optimum for a power consumer is selected from a plurality of electricity bill plans.SELECTED DRAWING: Figure 2

Description

  The present invention relates to the selection of a rate plan related to electricity use. More specifically, the most appropriate rate plan for power consumers is selected based on the actual amount of power recorded for each month and day. It relates to an electricity rate plan selection system that can be used.

  In general, individual electric power consumers often contract with electric power companies with a standard pay-per-use plan. On the other hand, in addition to simple pay-as-you-go plans, electric power companies have prepared various electricity rate plans that change the unit price according to changing conditions such as time of day, day of the week, and season. Electricity usage varies depending on the family structure and the type of house (detached / collective housing, etc.), so to speak, the “consumption characteristics” of electricity vary, and if you select an electricity rate plan that is appropriate for each electricity consumer, the electricity you pay monthly Fees will also be reduced.

  However, after contracting with a standard pay-per-use billing plan, there are few power consumers who change to another electricity rate plan in light of their own power consumption. The reason is that it is not easy to understand in detail the various electricity rate plans offered by electric power companies, and that their consumption characteristics are not fully understood. In 2016, entry into the electric retail industry will be fully liberalized, so it is expected that a wider variety of electricity rate plans will be offered. In other words, it is possible to make a contract with an electricity rate plan that is more suitable for the consumption characteristics of power consumption, and at the same time, it becomes more difficult to select an optimal electricity rate plan.

  From such a background, it is expected that many electric power consumers will demand a technology for automatically extracting an electricity rate plan suitable for the power consumption characteristics. For example, Patent Literature 1 proposes a technique for accurately calculating an electricity bill according to an electricity bill plan by effectively using data related to power stored in a smart meter.

JP 2013-097673 A

  By the way, in order to select an optimal electricity bill plan for power consumers, its consumption characteristics are indispensable, but it is not easy to accurately grasp its own consumption characteristics. In order to understand the consumption characteristics, in which time zone (for example, daytime / nighttime) the amount of consumption is higher, the amount of consumption on holidays is higher than that on weekdays, which is consumed in summer and winter We must understand the characteristics such as However, the power consumers who have grasped the past consumption record are a minority group, and those who grasp the consumption by organizing according to the changing conditions are extremely limited.

  In the future, it is expected that the number of electric power consumers who grasp consumption results will increase as smart meters and HEMS (Home Energy Management System) become widespread. If consumption performance is accumulated over a long period of time, it is possible to grasp its own consumption characteristics, but it is still impossible to select an optimal electricity rate plan until it is sufficiently accumulated. Moreover, even if the consumption record is accumulated, there are cases where the consumption characteristics change due to a change in the family structure or a move.

  The problem of the present invention is to solve the problems of the prior art, that is, even in the case where sufficient consumption results are not accumulated, an optimal electricity rate plan is selected in consideration of consumption characteristics of power consumers It is to provide an electricity bill plan selection system.

  The present invention uses a power usage model (transition of power usage in a certain period) prepared in advance, so that the usage amount in a certain period is estimated even from a small consumption record, and the optimum electricity charge is based on the estimated usage amount. This invention focuses on the point of selecting a plan, and is an invention made based on an idea that has not existed before.

  The electricity rate plan selection system of the present invention is a system for selecting an electricity rate plan that is optimal for a power consumer from a plurality of electricity rate plans that are set according to changing conditions (time zone, day of the week, or season). The system includes a charge plan storage unit, an actual usage amount measurement unit, a usage history storage unit, a power usage model storage unit, a usage amount estimation unit, and a fee calculation unit. Among these, the charge plan storage means stores a plurality of electricity charge plans, and the actual usage measurement means measures the actual usage of power. The usage history storage means stores the actual usage acquired by the actual usage measurement means for each date and time, and the power usage model storage means includes a plurality of patterns of power usage models (power usage for a certain period of time). ). The usage amount estimating means reads out the actual usage amount in a predetermined period from the usage history storage means, and selects a power usage model that most closely approximates the transition of the actual usage amount in the predetermined period from a plurality of patterns of power usage models, The selected power usage model is used as the estimated usage amount for a certain period. The charge calculation means calculates an electricity charge for a desired period for each of a plurality of electricity charge plans based on the estimated use amount for a certain period estimated by the use amount estimation means. Then, based on the electricity rate calculated by the rate calculating means, an electricity rate plan optimum for the power consumer is selected from among a plurality of electricity rate plans.

  The electricity rate plan selection system according to the present invention may select a combination of a plurality of electricity rate plans as an optimum electricity rate plan. In this case, the charge calculation means calculates the electricity charge for a desired period by changing the electricity charge plan for each time slot divided into a plurality of days or for each power consumption facility.

  The electricity bill plan selection system according to the present invention may use the estimated usage amount corrected in accordance with the transition of the actual usage amount. In this case, the usage amount estimation unit reads the actual usage amount in the predetermined period from the usage history storage unit, and the power usage model that most closely approximates the transition of the actual usage amount in the predetermined period is selected from the power usage models of a plurality of patterns The elected power usage model is selected and increased or decreased based on the transition of the actual usage amount, and then the estimated usage amount for a certain period.

  The electricity bill plan selection system of the present invention may further include a potential evaluation unit and an estimated usage amount correction unit. The potential evaluation means evaluates the power generation potential by sunlight based on the slope and area of the roof surface, and the estimated usage amount correction means is the power generation potential for each date and time evaluated by the potential evaluation means. Based on the above, the estimated usage amount in a certain period is corrected. In this case, the charge calculation means calculates the electricity charge based on the corrected estimated usage amount.

  The electricity bill plan selection system of the present invention may further include power generation information setting means and estimated usage amount correction means. The power generation information setting means sets power generation information including the power generation capacity, power generation time, and discharge time of the power generation equipment, and the estimated usage correction means corrects the estimated usage for a certain period based on the power generation information. It is. Also in this case, the charge calculation means calculates the electricity charge based on the corrected estimated usage amount.

  The electricity bill plan selection system according to the present invention may further include a storage information setting unit and an estimated usage amount correcting unit. The power storage information setting means sets power storage information including the power storage capacity, charge time, and discharge time of the power storage equipment, and the estimated usage correction means corrects the estimated usage over a certain period based on the power storage information. It is. Also in this case, the charge calculation means calculates the electricity charge based on the corrected estimated usage amount.

  The electricity bill plan selection system of the present invention may further include power consumption facility information setting means and estimated usage amount correction means. The power consumption facility information setting means sets the power consumption facility information including the power consumption capacity, the consumption time zone, and the consumption time of the power consumption facility. The estimated usage correction means is fixed based on the power consumption facility information. The estimated usage during the period is corrected. Also in this case, the charge calculation means calculates the electricity charge based on the corrected estimated usage amount.

The electricity rate plan selection system of the present invention has the following effects.
(1) Even from a small record of consumption, an optimal electricity rate plan can be selected by utilizing a power usage model that approximates the consumption characteristics of the power consumer. As a result, economically reasonable power use can be realized.
(2) By correcting the power usage model according to the actual consumption, it is possible to more appropriately select an optimal electricity rate plan.
(3) By providing the potential evaluation means and the estimated usage correction means, it is possible to grasp the electricity bill when solar power generation is installed. As a result, the pros and cons of installing solar power generation can be appropriately examined.
(4) By providing the storage information setting means and the estimated usage amount correction means, it is possible to grasp the electricity bill when the storage facility is installed. As a result, it is possible to appropriately consider whether to install the power storage equipment.

The flowchart which shows the flow of the main processes in 1st Embodiment of this invention. 1 is a block diagram of an electricity rate plan selection system in a first embodiment of the present invention. The flowchart which shows the flow of the main processes in 2nd Embodiment of this invention. The block diagram of the electricity rate plan selection system in 2nd Embodiment of this invention.

  Embodiments of the electricity rate plan selection system of the present invention will be described in two parts.

1. First Embodiment FIG. 1 is a flowchart showing a main processing flow in the first embodiment of the present invention, and FIG. 2 is a block diagram of an electricity rate plan selection system 100 in the first embodiment. . The middle column of FIG. 1 shows the processing to be performed, the left column shows input information necessary for the processing, and the right column shows output information generated from the processing. The present embodiment will be described with reference to these flowcharts and block diagrams.

(Measurement and storage of actual usage)
First, the amount of electric power actually used (actual usage amount) is measured at predetermined time intervals (Step 10). This time interval can be selected as appropriate. For example, it can be measured every 30 minutes, or it can be measured every hour such as every hour. The actual usage amount is measured by the actual usage amount measuring means 101 shown in FIG. As the actual usage measuring means 101, various devices can be used as long as they can be measured at a predetermined time interval. However, it is preferable to use smart meters that are being introduced recently. This is because, for example, the smart meter can measure the actual usage amount every 30 minutes every day, and can further transmit the measurement data to a predetermined storage means.

  The actual usage amount measured by the actual usage amount measuring unit 101 is stored in the usage history storage unit 102 (FIG. 2) (Step 20). At this time, the measured date and time are also stored together with the actual usage value. In other words, the measured value of the actual usage, the measurement date and time, or other information is sequentially accumulated as a set of records (hereinafter referred to as “measurement record”). The actual usage measured by the actual usage measuring means 101 can be stored on a portable medium such as a CD (Compact Disc) or a USB (Universal Serial Bus) memory on the spot, or by wired or wireless. It can also be stored in a medium (for example, a database server) at a remote location by communication.

  The measurement record can include weather information such as temperature, humidity, pressure, and climate at the time of measurement in addition to the date. However, when including this weather information, it is desirable to prepare an automatic measuring device, a means for transmitting weather data, and the like separately. Furthermore, the usage history storage unit 102 can also store individual information of the power consumer, that is, user information. Examples of the user information include information such as a family structure, a residential area, and a housing type (detached / collective housing, etc.). For convenience, information obtained each time actual usage is measured, such as measurement records, is called “variation information”, and “variation information” that excludes the actual usage value is called “variation conditions”. To do. On the other hand, information that does not change at the measurement timing, such as user information, is referred to as “fixed information” or “fixed condition”.

(Estimation of usage)
When the measurement record including the actual usage amount is accumulated to some extent, the amount of power expected to be used in the future is estimated (Step 30). For example, measurement records for three months from April to June are accumulated, and power consumption for nine months from July to March of the following year is predicted. A power usage model is used for this estimation. The power usage model is a transition of power usage in a finite period (for example, one year), and is composed of power consumption value data for every hour, for example. In addition, each electric power value data is equipped with the fluctuation conditions, such as the date and time of measurement, and the day of the week (we can include weather information).

  Since it can be said that the power usage model represents the consumption characteristics of the power consumer over a certain period, it is preferable to prepare a power usage model for each of various consumption characteristics. Specifically, a large number of user information is collected, systematically organized, and some representative user models are set, and a power usage model is created for each user model. The more a variety of power usage models are prepared, the more appropriately the power usage can be estimated. The power usage model can be created from past performance values, or can be created by estimating from various conditions. Moreover, when there are few obtained actual values, all the actual values can also be made into a user model as it is. When a plurality of patterns of power usage models are created, these are stored in the power usage model storage means 103 shown in FIG.

  The usage amount estimation means 104 shown in FIG. 2 estimates the power usage amount (Step 30). The usage amount estimation unit 104 reads the accumulated measurement records for a predetermined period (for example, three months), and creates an actual usage transition model of power usage for the predetermined period. This actual usage transition model can be a usage transition of one day (which can be divided into a weekday and a holiday) representing a predetermined period, a weekly or one month usage transition, or The usage transition in the predetermined period can be directly used as an actual usage transition model.

  When an actual usage transition model representing a predetermined period can be created, a plurality of patterns of power usage models stored in the power usage model storage unit 103 are read out and compared with the actual usage transition model. At this time, if the actual usage transition model is a unit of one day, one day is extracted from the power usage model, and if the actual usage transition model is a unit of one week, if it is a unit of one month, one week of the power usage model. Cut out one month's worth. When partially extracting from the power usage model, it is preferable to correspond to the fluctuation conditions (period and day of the week) of the actual usage transition model. Alternatively, when reading the power usage model, it is also possible to read only the power usage model that matches (or is similar to) the fixed condition of the power consumer.

  When the power usage models of all the patterns (the cut out portion) can be compared with the actual usage transition model, the power usage model that is most approximated is selected. For this approximation determination, various methods conventionally used including the least square method can be used. Then, the selected power usage model is set as the amount of power (hereinafter referred to as “estimated usage”) that the power consumer will use in the future (for example, from July to March of the following year).

  As described above, the power usage model can be used as the estimated usage amount as it is, but it can also be used as the estimated usage amount after correction to increase or decrease the power usage model according to the actual usage amount of the power consumer. . For example, when the actual usage transition model is compared with the selected power usage model, the fluctuation (curve) for each time is very close, but the usage amount shows a difference of about 10%. . In this case, it can be easily assumed that the amount of future use will also vary by about 10%. Therefore, the selected power usage model is corrected by 0.9 times (1.1 times), and this increased or decreased model is used. Is the estimated usage. The increase / decrease of the estimated usage amount can also be performed by the usage amount estimation means 104.

(Calculation of electricity charges)
When the estimated usage amount is obtained, the electricity charges in various patterns are calculated (Step 50). This processing is performed by the charge calculation means 105 shown in FIG. As shown in this figure, the charge calculation means 105 reads out the electricity charge plan from the charge plan storage means 106, and calculates the future electricity charge based on the electricity charge plan and the estimated usage. At this time, the calculation period is not necessarily the end of the power usage model (for example, July to March of the following year), and the power charge can be calculated in a desired period such as three months in the summer.

  The electricity rate plan stored in the rate plan storage means 106 is normally set by an electric power company, and various patterns are created in the same manner as the electricity usage model. Multiple patterns of electricity rate plans have been created, such as a pay-as-you-go plan that does not depend on fluctuating conditions, a plan that changes the unit price of electricity according to the time zone, and a plan that changes the unit price of electricity according to the season And stored in the charge plan storage means 106. The charge calculation unit 105 reads out the charge plans (specifically, conditions and calculation formulas) of these various patterns, and calculates a power charge in a desired period based on the estimated usage amount.

  When the electricity rate can be calculated for each electricity rate plan stored in the rate plan storage means 106, the one with the lowest price can be set as the optimum electricity rate plan for the electricity consumer (Step 60). This process is performed by the electricity rate plan selection means 107 shown in FIG. The electricity rate plan selection means 107 can automatically select the optimum electricity rate plan. The electricity rate plan selection means 107 can only display the electricity rate for each electricity rate plan on a display or the like. Alternatively, the user can select a desired electricity rate plan.

  Here, the electricity rate plan selection means 107 can select one electricity rate plan or a combination of a plurality of electricity rate plans as the most appropriate electricity rate plan for the power consumer. For example, one day (24 hours) is divided into several time zones such as morning, daytime, evening, and night, and the most suitable electricity rate plan is selected in each time zone, that is, multiple (in this case, The combination of 4) different electricity rate plans is the optimal electricity rate plan. Alternatively, it is possible to select an optimal electricity rate plan for each power consumption facility such as household electric appliances, and to combine these electricity rate plans into an optimum electricity rate plan.

2. Second Embodiment In the first embodiment described above, it has been described that the estimated usage amount may be corrected (increased or decreased) in accordance with the actual usage transition model based on the actual usage amount. In this embodiment, a method for correcting the estimated usage when a power generation facility such as a solar power generation facility, a power storage facility, or a power saving type power consumption facility is installed will be described. FIG. 3 is a flowchart showing the main processing flow in the second embodiment of the present invention, and FIG. 4 is a block diagram of the electricity rate plan selection system 100 in the second embodiment. For convenience, FIGS. 3 and 4 show the case where all of the power generation equipment, the power storage equipment, and the power saving type power consumption equipment are installed. However, it is not always necessary to install all of these three equipments. One or two facilities can also be selectively installed. Further, description of contents overlapping with those of the first embodiment is avoided here, and only contents specific to the second embodiment are described. That is, the contents not described here are the same as those described in the first embodiment. For example, the measurement of actual usage (Step 10), storage of actual usage (Step 20), and estimation of usage (Step 30) shown in FIG. 3 are as described in the first embodiment. 4 and 2 are the same, and the description thereof is as described in the first embodiment.

(Potential evaluation)
When a power consumer plans to install a solar power generation facility, it is necessary to estimate the amount of commercial power used excluding the power obtained by the facility. Therefore, first, the ability (potential) of photovoltaic power generation at the installation location planned by the power consumer is evaluated (Step 70). This processing is performed by the potential evaluation means 108 shown in FIG. The potential evaluation means 108 reads information on the roof surface on which the photovoltaic power generation facility is installed (hereinafter referred to as “installed roof information”) from the installed roof information storage means 109, and evaluates the potential of the photovoltaic power generation. The installed roof information storage means 109 stores the input installed roof information in advance.

  By the way, the solar altitude varies depending on the plane position and altitude of the roof surface, and the amount of received sunlight varies depending on the inclination angle (angle formed with the horizontal plane) and the inclination direction (azimuth) of the roof surface. The number of solar panels that can be installed also varies depending on the area and shape of the roof surface. That is, the power generation potential of the roof surface differs depending on the installed roof information such as the inclination angle, the direction of the inclination, the area, and the shape. Therefore, the potential evaluation means 108 evaluates the potential of solar power generation based on the read installation roof information.

  Note that the power generation potential on the roof surface can be relatively evaluated by performing “weighting” stepwise with respect to the inclination angle, the direction of inclination, and the area. For example, the inclination angle is divided in increments of 5 ° from 0 ° to 90 °, and high scores are given in order from the angle at which light is most easily received with respect to the solar altitude at a predetermined time at a predetermined time. Similarly, for the direction of inclination, for example, the azimuth is divided in increments of 5 ° from 0 to 360 °, and high scores are given in order from the angle at which light is easily received. In the case of area, the higher the area, the higher the score. Of course, it is not limited to such “weighting”, and any “weighting” can be used, such as taking into account the weather characteristics and altitude of each region, or estimating the amount of direct solar radiation on the roof surface. According to such points, it is also possible to quantitatively evaluate the power generation potential of the roof surface by assigning scores respectively for the oblique angle, inclination direction, and area of the installed roof surface and comprehensively judging the results.

(Setting power generation information)
When power consumers plan power generation other than solar power generation (power generation using fuel cells, power generation using gas fuel, etc.), the amount of commercial power used excluding the amount that can be covered by the power generated by the power generation facility. It is necessary to estimate. Therefore, first, various specification information of the planned power generation facility is set (Step 80). This process is performed by the power generation information setting means 110 shown in FIG. The power generation information setting unit 110 reads information related to power generation of the power generation facility from the power generation facility information storage unit 111 and sets this as “power generation information”. This power generation information includes the power generation capacity, power generation time, and discharge time of the power generation facility. The power generation facility information storage unit 111 stores input information (information regarding power generation of the power generation facility) in advance.

(Storage information setting)
When a power consumer plans to install a power storage facility or VtoH (Vehicle to Home), it is necessary to estimate the amount of commercial power used excluding the amount that can be covered by the power stored in the facility. Therefore, first, various specification information of the planned power storage facility is set (Step 90). This process is performed by the power storage information setting unit 112 shown in FIG. The power storage information setting unit 110 reads information relating to power storage of the power storage facility from the power storage facility information storage unit 113 and sets this as “power storage information”. This power storage information includes the power storage capacity, the charging time, and the discharging time of the power storage equipment. The storage facility information storage unit 113 stores input information (information related to storage of storage facility) in advance.

(Setting of power consumption equipment information)
For example, when a power consumer plans to install a power-saving (so-called energy-saving) type power consumption facility, it is necessary to estimate the amount of commercial power used that is reduced by the power consumption facility. Therefore, first, various specification information of the planned power consumption facility is set (Step 100). This processing is performed by the power consumption facility information setting unit 114 shown in FIG. The power consumption facility information setting unit 114 reads information related to the power consumption of the power consumption facility from the power consumption facility information storage unit 115 and sets this as “power consumption facility information”. The power consumption facility information includes a power consumption capacity, a consumption time zone, and a consumption time. The power consumption facility information storage unit 115 stores input information (information related to power consumption of the power consumption facility) in advance.

(Correction of estimated usage)
When the potential of solar power generation is evaluated, the amount of power generation for each month and day can be estimated. It can be said that the generated electric power can be reduced from the estimated usage (including the estimated usage after correction based on the actual usage) described in the first embodiment. Therefore, correction is performed to reduce the amount of power generated by the photovoltaic power generation facility from the estimated usage amount, and the corrected amount is set as a new estimated usage amount (Step 110). Similarly, based on the power generation information set in Step 80, the power storage information set in Step 90, and the power consumption equipment information set in Step 100, correction is performed to reduce the estimated usage, and the corrected use is newly estimated use Amount. This processing is performed by the estimated usage amount correcting means 116 shown in FIG. Based on the new estimated usage corrected by the estimated usage correcting means 116, as in the first embodiment, an electricity rate is calculated for each electricity rate plan (Step 50). A price plan is selected (Step 60).

  The electricity rate plan selection system of the present invention can be used suitably for individual power consumers, and can also be used for business facilities such as factories and offices. The invention of the present application can be said to be an invention that not only can be used industrially but also can make a great social contribution, considering not only the reduction of electricity bills but also the promotion of power consumers' awareness of power saving.

DESCRIPTION OF SYMBOLS 100 Electricity rate plan selection system 101 Actual usage amount measurement means 102 Usage history storage means 103 Electricity usage model storage means 104 Usage amount estimation means 105 Price calculation means 106 Price plan storage means 107 Electricity rate plan selection means 108 Potential evaluation means 109 Installation roof Information storage unit 110 Power generation information setting unit 111 Power generation facility information storage unit 112 Power storage information setting unit 113 Power storage facility information storage unit 114 Power consumption facility information information setting unit 115 Power consumption facility information storage unit 116 Estimated usage amount correction unit

Claims (7)

In the electricity rate plan selection system that selects the most appropriate electricity rate plan for electric power consumers from multiple electricity rate plans set according to fluctuating conditions such as time of day, day of the week, or season,
Rate plan storage means for storing a plurality of the electricity rate plans;
An actual usage measuring means for measuring the actual usage of electric power;
A usage history storage unit that stores the actual usage amount acquired by the actual usage amount measuring unit for each date and time;
A power usage model storage means for storing a plurality of patterns of a power usage model that is a transition of power usage in a certain period;
The actual usage amount in a predetermined period is read from the usage history storage means, and the power usage model that most closely approximates the transition of the actual usage amount in the predetermined period is selected from the plurality of patterns of power usage models, and the selected A usage amount estimation means that uses the power usage model as the estimated usage amount in the predetermined period;
Charge calculating means for calculating an electricity charge for a desired period for each of the plurality of electricity charge plans based on the estimated use amount in the fixed period estimated by the use amount estimating means,
An electricity rate plan selection system, wherein an electricity rate plan most suitable for an electric power consumer is selected from the plurality of electricity rate plans based on the electricity rate calculated by the rate calculating means. The rate calculation means calculates the electricity rate for a desired period by changing the electricity rate plan for each time period divided into a plurality of days and / or for each power consumption facility,
2. The electricity rate plan selection system according to claim 1, wherein a combination of a plurality of electricity rate plans is selected as an electricity rate plan that is optimal for a power consumer.   The usage amount estimation unit reads the actual usage amount in a predetermined period from the usage history storage unit, and the power usage model that most closely approximates the transition of the actual usage amount in the predetermined period is selected from the power usage models of the plurality of patterns. The electricity rate plan according to claim 1 or 2, wherein the electrified electricity usage model is selected and increased or decreased based on a transition of the actual usage amount, and then used as the estimated usage amount in the predetermined period. Selection system. A potential evaluation means for evaluating the power generation potential by sunlight on the basis of the slope of the roof surface and the area for each month, day, and time;
An estimated usage amount correcting unit that corrects the estimated usage amount in the certain period based on the power generation potential for each month, day, and time evaluated by the potential evaluation unit;
4. The electricity rate plan selection system according to claim 1, wherein the rate calculating means calculates an electricity rate based on the corrected estimated usage amount. Power generation information setting means for setting power generation information including power generation capacity, power generation time, and discharge time of the power generation facility;
An estimated use amount correcting means for correcting the estimated use amount in the certain period based on the power generation information,
5. The electricity rate plan selection system according to claim 1, wherein the rate calculating means calculates an electricity rate based on the corrected estimated usage amount. Power storage information setting means for setting power storage information including power storage capacity, charge time, and discharge time of the power storage facility;
An estimated use amount correcting means for correcting the estimated use amount in the fixed period based on the storage information,
6. The electricity rate plan selection system according to claim 1, wherein the rate calculating means calculates an electricity rate based on the corrected estimated usage amount. Power consumption facility information setting means for setting power consumption facility information including power consumption capacity, consumption time zone, and consumption time of the power consumption facility;
Based on the power consumption facility information, further comprising estimated usage amount correcting means for correcting the estimated usage amount in the fixed period,
7. The electricity rate plan selection system according to claim 1, wherein the rate calculating means calculates an electricity rate based on the corrected estimated usage amount.

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