JP5606214B2 - Automatic power trading system - Google Patents

Description

  The electric power demand has a steep peak between 1 pm and 4 pm, for example, in summer (July to September). The present invention relates generally to an automatic power trading system for suppressing such power consumption peaks, and more specifically to the power trading market by providing benefits to both power suppliers and power consumers. The present invention relates to an automatic power trading system that facilitates the activation of the power supply and contributes to stabilization of power supply by suppressing peak power from both power suppliers and power consumers.

  In recent years, the development of the electricity liberalization market has been promoted, and electronic trading of electricity has also been promoted. For power trading systems using predictive calculations, power backed up to storage batteries was mainly used (for example, (See Patent Documents 1-3).

JP 2003-32900 A JP 2003-36297 A JP 2007-14066 A

  However, there was a method that the power supplier calculated the peak time and the stored power discharge time using the contract power information and the stored power amount information and contributed to the suppression of the peak power, but the prediction calculation of the generated power amount and the consumed power amount There is no approach to peak power control from power trading using.

  Methods that contribute to peak power suppression from power suppliers or power consumers are already known. An automatic power trading system should be introduced.

  Up until now, peak power suppression has been the main action only for power consumers to participate in services from power suppliers, and services or systems that fully recognize the need for peak power suppression are provided. It cannot be said that it has been done.

  The present invention has been made in view of such circumstances, and promotes transactions between the power supplier side and the consumer side using home / outside network technology and power technology, and at the same time contributes to power leveling. The purpose is to provide an automatic power trading system.

The invention according to claim 1, carried out electricity trading between a plurality of power consumed electric home with a power supplier and a power generation facility, a power automated trading system for suppressing the peak power, the power demand use house power generation amount and / or stored power of the measured values of the history, based on the history of the measured values of the power consumption of及beauty power consumers, the operation of the sale amount of power electricity consumers and line cormorant arithmetic means was obtained from the previous Ki演 calculation means, from the calculation result of salable power amount of the electric power consumer, trading parameters for the power supply's purchase power from the power customer Then, for the amount of power that can be sold during the period when peak power is generated, at least two power customers are compared, and the transaction parameter that evaluates the power customer with the larger amount of power that can be sold is calculated. Depending on the means of determination and the above transaction parameters. And and means for performing the power exchange.

  According to the above configuration, by calculating from history information on the power supplier side and history information on the power consumer side, an automatic power trading system that is optimal for the power supplier side and the power consumer side is provided. It is possible to provide a system and service that allows the power consumer to recognize the necessity of peak power suppression.

In the invention according to claim 2 , the evaluation value of the electric power consumer is calculated based on the rules and contracts determined by the power supplier, and the purchase of electric power is preferentially purchased from the electric power consumer whose evaluation value rank is higher. It has the means to perform. Thereby, it is possible to calculate the evaluation value and determine the purchase order.

In the invention according to claim 3 , the evaluation value of the electric power consumer is calculated based on the rules and contracts determined by the electric power supplier, and the purchase of electric power is preferentially performed from the electric power consumer whose evaluation value rank is lower. It has the means to perform. Thereby, it is possible to calculate the evaluation value and determine the purchase order.

In the invention according to claim 4 , the price multiplier corresponding to each power consumer is obtained by rating the calculated evaluation value according to the evaluation value area based on the rules and contracts determined by the power supplier. The price unit is calculated and multiplied by the unit price of the normal buying and selling price to calculate the buying unit price. This makes it possible to calculate the price multiplication factor.

In the invention according to claim 5 , in the automatic power trading system according to claim 8, the price multiple corresponding to each power consumer can be fixed from the power consumer side, and the evaluation corresponding to the price multiple Means is provided for calculating the amount of electric power that can be sold within the value area. This makes it possible to fix the price magnification.

In the invention described in claim 6 , the power control device or network on the power consumer side selected from the power supplier side as the target of the power transaction based on the time information, the power information and the power unit price calculated on the power supplier side It further has a contact means for making an announcement to the corresponding information device / terminal. Thereby, it becomes possible to contact the power consumer from the power supplier.

In the invention according to claim 7 , an announcement to start power purchase is transmitted from the power supplier side to the power control device or the network-compatible information device / terminal on the power consumer side, and the power is automatically generated according to the announcement. A means for starting the purchase is provided. As a result, it is possible to notify the start of power purchase.

In the invention according to claim 8 , when the power supplier transmits an announcement to start power purchase to the power control device or the network-compatible information device / terminal on the power consumer side, the power consumer has already made a power transaction. If you have performed are described in claims 7, from purchase starting time power supplier has announced, to apply the price factor listed in claim 2 only in time until the purchase of power is completed And a means for contacting the purchase price to a power control device or a network-compatible information device / terminal. It is the structure regarding the adaptation time of price multiplication.

In the invention according to claim 9 , a third party organization or a third party company as an intermediary between the power supplier and the power consumer can carry out computations by means of computing means on the power supplier side and the power consumer side, It is characterized by having data storage means for power suppliers and power consumers. This is a configuration related to the implementation of the system by a third-party organization or company.

In the invention described in claim 10 , a third party or a third party company can communicate from the power supplier side to the power consumer side as an intermediary between the power supplier and the power consumer. It is characterized by providing. This is a configuration related to the implementation of the system by a third-party organization or company.

In the invention according to claim 11 , when the power supplier side starts purchasing the amount of power that can be sold from the power consumer side, or when the power consumer side starts selling power, the household of the power consumer It is characterized by comprising means for instructing a change in the state of a device or a specific operation instruction to an internal network compatible device, a home / external network compatible device or a device capable of interlocking with the internal network compatible device. This is a configuration related to a state change or an operation instruction to the device accompanying the communication.

  According to the present invention, it is possible to provide an automatic power trading system without imposing an operation burden on the user by automatically performing arithmetic processing between the supplier server and the customer client.

  Further, according to the present invention, the supplier server can suppress the peak power by purchasing power from the customer client, thereby reducing the possibility of issuing an excessive power generation fuel specification or a power usage restriction command. I can do it.

  The supplier server can accurately grasp the amount of electricity required for peak power suppression and the generation time, and the customer client can not only use the power generated by the customer, but also promote the sale of electricity. I can hope. Also, it is possible to distribute the load by distributing the arithmetic processing or by calculating by the broker.

  By using interactive data, the supplier server and the customer client mutually confirm the power generation status, the power addition status, and the stored power generation status, thereby leading to the provision of an optimal service system for peak power suppression.

  The emergence of the brokers responsible for managing the calculations to be performed by the supplier server or the customer client and the calculated calculation results leads to the activation of the electric power trading market.

  A customer client will voluntarily be aware of fluctuations in power, not passively from the supplier server, and let them think about the meaning of owning power as a resource. You can build a system that links to.

It is a figure which shows the outline | summary of the electric power automatic trading system which concerns on Example 1. FIG. This is a data file on the power supplier side. It is a figure which shows how to obtain | require the average electric energy (average electric power generation amount or average electric power consumption) according to a time slot | zone. It is a figure which shows the concept of peak power and peak time. It is a data file on the power consumer side. It is a figure which shows the example which performs prediction calculation of the amount of stored electric power, the amount of generated electric power, or the amount of electric power consumption. It is a figure which shows an example of an electric power rating and a price multiplication factor. It is a figure which shows the example of the contact means which contacts the electric power consumer from an electric power supplier. It is a figure which shows the flowchart until it purchases the electric power for peak electric power suppression. It is a figure which shows operation accompanying the announcement from an electric power supplier. It is a schematic diagram in the case of implementing the system which concerns on this invention by a 3rd party organization and a company.

  Embodiments of the present invention will be described below with reference to the drawings.

  FIG. 1 is a diagram illustrating an overview of an automatic power trading system according to the first embodiment. As shown in FIG. 1, the power supplier has a power generation facility and a power supply facility. As shown in FIG. 2 (A), the power supplier server uses the generated power amount history information by time as a data file to arrange the values of the amount of power generated every hour as a history for each time zone. Or the like stored in the storage means 1. In addition, the power supplier server obtains the value of the power consumption obtained every hour as shown in FIG. 2B from the total power consumption screened from the power meter of each power consumer. Separately, the power consumption history information by time zone arranged as a history is stored in the storage means 2 such as power consumption as a data file. These are tagged and saved on each day or day of the week when saved. The system can search the target history information by day or day of the week from a plurality of stored data files. The time and day of the week are tagged by interlocking with a timer of management software (OS) in the supplier server.

FIG. 3 shows how to obtain an average power amount (average power generation amount or average power consumption amount) W _ave (a function of t ₁ (hour), t ₂ (day)) by time period within a certain period. FIG. As shown in FIG. 3, a certain period, which will be described later, from the power generation history information by time zone and the power consumption history information by time zone for each day and each day of the week stored in the storage means 1 and 2 described above. Average power generation amount information and average power consumption information, which are average values for each hour, are calculated. More specifically, the average power generation amount information and the average power consumption information are calculated by averaging past information determined by the power supplier. For example, the average power value for each time zone is obtained by averaging the power values of the same time zone with the past 6 months of history information, and it is calculated from 0:00 to 1 o'clock, 1 o'clock to 2 o'clock, 2 o'clock ~ 3 o'clock ... (Omitted) ..., 23 o'clock to 24 o'clock, every hour from 0 o'clock to 24 o'clock, by the average daily power generation information and average power consumption A quantity information data file is created.

  Furthermore, since the amount of power used per day varies depending on the season, the average energy information is calculated using historical information from the past three months, and the differences in climate (temperature, humidity, weather) are analyzed using neural networks and fuzzy inference. It is also possible to perform calculation with higher reliability by calculating ambiguity as a weight value and using it for calculation.

  The data files of the hourly average power generation amount information and hourly average power consumption information calculated in this manner are stored in the storage means such as the generated power described above. Further, the data file of the average power consumption information for each time zone calculated in this way is stored in the storage means such as the power consumption described above.

  The storage means such as the generated power and the storage means such as power consumption are stored in a storage medium of the supplier server, for example, a hard disk. If saved to the hard disk, the power generation history information by time zone and the power consumption history information by time zone for each day and each day can be saved over a long period of time, and backup data can also be saved. It is. Also, by storing the data of the average power generation amount information and the average power consumption amount information on different hard disks, data management becomes easier as compared with the case of storing a plurality of data on the same hard disk. The historical information can also be referred to by storing a backup of the average power generation information by time zone and the average power consumption information by time zone. Moreover, since the transition of the power usage status can also be confirmed, the power supplier can also visualize the change of the power usage status.

  Next, the reason why the peak power can be suppressed according to the present invention will be described.

  Referring to FIG. 4, the above-mentioned average power generation amount information for each day of the week and the average power consumption information for each day of the week for each day of the week created and stored by the supplier server are compared hourly to generate power. The time when the amount of power consumption and the amount of power consumption reaches the highest peak and the difference between the amount of power generation and the amount of power consumption is the smallest is found, and this is set as the first peak time. For example, as a result of cross-referencing the average power generation information by time and the average power consumption information by time stored in the supplier server, the highest peak is reached at 12:00, When a result that the difference value is the smallest is obtained, this 12:00 is set as the first peak time.

  When the power supplier sets a purchase time zone, which will be described later, as 1 hour before and after the peak time, in this example, the power purchase time zone is set from 11:00 to 13:00, To do. Thereafter, similarly, the time when the power supplier reaches the second peak is found, this is set as the second peak time, and an arbitrary time zone before and after the second peak time is sequentially calculated as the power purchase time zone. go. These are done automatically by the computer.

  The calculated peak time is stored in the supplier server as the power purchase time, and the arbitrary time zone before and after the peak time is stored in the supplier server as the power purchase time zone. In addition, the amount of power required for peak suppression at the power purchase time is calculated from the average power generation amount information for each time zone and the average power consumption information for each time zone. Specifically, the difference amount between the hourly average generated power amount and the hourly average power consumption at 12:00, which is the time obtained as the peak time, is applied and stored as the purchased total power amount.

  In addition, the total amount of power purchased is estimated by referring to the data of hourly power consumption, hourly power generation and hourly stored power stored in the customer client. It is also possible to calculate the difference between the total amount of power stored in the customer client and the amount of generated power and the amount of power demand, and set it as the total amount.

  In this way, at the peak time, the power supplier can purchase power from a consumer who has extra power, and can pass the purchased power to other consumers. Not only do you need to prepare, you can also reduce the amount of power generated. That is, the present invention automatically suppresses peak power.

  Next, the customer side will be described.

  The customer client, which is a concept including a general household, has a power generation facility such as a solar generator and a power storage facility such as a storage battery with reference to FIG. 1 again. As shown in FIG. 5 (A), the customer client obtains the value of the electric energy stored every hour, as shown in FIG. 5A, obtained from the value of the electric energy stored every hour and the value of the electric energy read from the electric power meter. Are stored in the storage means such as the generated power, and the data file of the accumulated power amount history information by time zone and the generated power amount history information by hour and hour As shown in FIG. 5, data files of power consumption history information by time zone are stored in storage means such as power consumption, and these are tagged with each day or each day of the week when stored. The system can search the history information of interest by day or day of the week from the data file. Time and day of the week are tagged by interlocking with a timer of management software (OS) in the customer client.

  The stored power amount by time zone and the generated power amount by time zone are data files created by acquiring the metered power amount. As the acquisition method, wireless LAN communication is used. The data value read by the system using wireless transmission is transmitted to the power management monitor, and is created by adding and processing data in the database. A system that acquires data values by wire is also conceivable.

  Similar to the method described in FIG. 3 from the power generation history information by time zone, the power storage history history information by time zone, and the power consumption history information by time zone for each day and each day of the week stored as described above. By the method, the average power generation amount information and the average stored power amount information for each hour within a certain period are calculated by the computer. The average power generation amount information, the average stored power amount information, and the average power consumption information are calculated by averaging past information determined by the power supplier. For example, by calculating the average power value for each time period by averaging the power values for the same time period from the past 6 months of history information, and performing it from midnight to 24:00, the average daily energy consumption An information data file is created. However, since the amount of power generated, stored, and consumed varies depending on the season, the average energy information uses historical information for the past three months for calculation, and the difference in climate (temperature, humidity, weather) A calculation with higher reliability can be performed by calculating the ambiguity as a weight value using a neural network, fuzzy reasoning, or the like and using it for the calculation.

  The data file of the average generated power amount information and the average stored power amount information calculated in this way is stored in a storage unit such as the generated power of the power consumer with reference to FIG. 1 again, and the calculated average power consumption information These data files are stored in a storage unit such as the power consumption of the power consumer.

  As the storage unit for the generated power and the storage unit for the power consumption, for example, if the customer client is a small terminal such as a power management monitor used at home, a storage medium such as a small hard disk or flash memory However, it is used to store the data of the power generation history information by time zone, the power storage history information by time zone, the power consumption history information by time zone, and the data of the past month or so. This data is preferably displayed on the monitor screen when instructed by a power consumer, and is preferably displayed in real time. If the storage means is a home personal computer that manages data, it is possible to store historical information over a long period of time, and it is possible to easily confirm the data contents without introducing new equipment. .

  Next, a method for calculating the amount of power that can be sold by the computer of the customer client will be described.

First, in order for the customer client to calculate the amount of power that can be sold, the supplier server notifies the customer client of the purchase time and the purchase time zone. It is assumed that the supplier server and the customer client are connected via a communication network such as the Internet. For example, using the Euler method shown in FIG. 6, the customer client obtains the gradient of the stored power amount in each time zone from the stored power amount history information for each time zone. The gradient is obtained by an expression surrounded by a dotted line, expressed as a coefficient of Δt ₁ ′ of the second term on the right side in the expression shown in FIG. The slope is applied from the stored power amount value at the time of the current time when the calculation is started, and a prediction calculation is performed to estimate how much stored power amount is at the purchase time. Similarly, the customer client similarly obtains the gradient of the power consumption amount for each time zone from the power generation history information for each time zone and the power consumption history information for each time zone, and starts calculating the slope. By adapting from the power consumption in the time zone at the current time, a prediction calculation of the power consumption is performed to estimate how much power is consumed at the purchase time. As a result of these prediction calculations, the difference between the predicted stored power amount and the predicted power consumption amount in the calculated peak time zone is obtained, and the difference value is calculated as the amount of power that can be sold by the customer client. The calculation result is transmitted to the supplier server.

  Other calculation methods are conceivable for the calculation for determining the gradients of the stored electric energy, generated electric energy, and consumed electric energy. When calculating the gradient from the history information for each time zone, the Euler method, the Runge-Kutta method, or the central difference method can be used as a calculation method. In order to improve the calculation accuracy by the calculation method, it can be realized by using the Runge-Kutta method or the central difference method rather than the Euler method. Further, the calculation accuracy can be improved by shortening the storage time of history information and increasing the number of data points used for the calculation.

  Based on the calculation result transmitted from the above-mentioned consumer client, the supplier server ranks the electric power consumer by the computer. First, an evaluation value and a price multiplication factor are calculated and assigned as transaction parameters to each customer client based on the rules and contract specifications established by the supplier server. The following calculation methods are conceivable for obtaining the evaluation value. As shown as an example in FIG. 7, when the acquired value is used directly, there is a case where the total amount of stored electric power or the amount of electric power available for sale calculated by the customer client is used as the evaluation value. Further, there may be a case where a ratio such as a power consumption reduction amount obtained from the power consumption amount history information and the power consumption information on the day or a ratio of the available power amount to the total power that can be stored is used as an evaluation value. Moreover, it is also conceivable to use the evaluation value by standardizing the quality, frequency and voltage deviation of the power sold by the electric power consumer compared with the reference value.

  Alignment is performed by ranking electric power consumers based on these calculated evaluation values. A purchase target is selected from the arranged power consumers according to the rules and contract specifications determined by the power supplier. For example, the following methods can be considered for selection of purchase targets. When the amount of electric power is used as an evaluation value, a large amount of electric power is purchased from electric power consumers who have a lot of electric power. I'll give you a case. This avoids areas where there are many electric power consumers who can sell electricity, and reduces the load on the transmission line and the like during sale power transmission. Further, there is a case where power is purchased from a power consumer that can be sold although it is a small amount of power, that is, from a power consumer that has a lower order after sorting. In this case, there may be a case where the purpose is to realize the peak suppression effect by purchasing power from many power consumers.

  Next, the purchase price of power consumers is calculated. The evaluation values of the customer clients arranged as described above are rated based on the specifications determined by the power supplier. For example, if the available electric energy is used as an evaluation value, the available electric energy is rated according to the value area, and the price multiplier corresponding to the rating is also set. After multiplying the normal power selling unit price by this price multiplication factor, the power selling unit price of the power consumer for each rating is calculated, and then stored in the power supplier database. Here, the storage means stores the power generation history information by time zone and the power consumption history history information by time zone in a hard disk different from the target hard disk to be saved. As described in the selection of the purchased power amount rating, the price multiplication rate, that is, the available power amount band, can be selected / fixed on the customer client side.

  For example, in the case shown in FIG. 7, if the customer client side wants to sell power only in the A rank available power amount band this month, the contents of that will be sent to the supplier server side in a message format through the communication network. Suppose it can be requested. If it is a power consumer who can reliably sell more than A rank every day, that is, more than 5 kWh, this A rank designation can be used. On the contrary, if it is a power consumer whose daily saleable electric energy is 5 kWh or less, this rank cannot be specified, and only the B rank can be specified. This rank designation inputs the rank designated by the power consumer side and the continuous period to the template based on the specifications on the power supplier side, and transmits the template to the supplier server. Thereafter, the supplier server calculates the amount of power that can be sold by the power consumer within the amount of power that can be sold in the designated rank during the period requested by the power customer. If the amount of power that can be sold is equal to or higher than the upper limit of the rank, for example, the upper limit of rank A is 15 kWh or higher, 15 Wh is the maximum amount of electric power that can be sold. When ranking electric power consumers in the supplier server, the above-mentioned amount of electric power that can be sold is referred to.

  Next, as shown in FIG. 8, the supplier server provides power to the customer client to be purchased in advance via the communication network with the amount of power to be purchased (the amount of power that can be sold by the power customer) and the purchase start time. Announcements on terminals such as stationary displays such as management monitors and mobile phones with high portability. This announcement may be in the form of popping up the power available for sale and the purchase start time on the screen for a stationary display, or in the form of sending an e-mail to a highly portable terminal. When the purchase is completed, the purchase end time, the time required for the purchase, the power purchase unit price and the purchase amount are announced in the form of a statement to the above-mentioned display on the installation side and the portable terminal. As for the format of the end announcement, the same format as at the start can be considered.

  This is the end of power purchase for peak power suppression.

  FIG. 9 is a flowchart showing the above flow. All these steps are performed automatically by the computer.

(Step 1)
(Supplier side) Refer to the power generation history data of the supplier server. That is, the generated power amount history data shown in FIG. 2 stored in the storage unit 1 on the power supplier side in FIG. 1 is referred to.

(Step 2)
(Supplier side) Calculate the predicted peak time of the day (that day) from the statistical average. That is, the average power generation amount and the average power consumption amount on the power supplier side are calculated using the mathematical formula described in FIG. Here, the calculation is performed on each day or each day of the week.

(Step 3)
(Supplier side) Determine the necessary calculation parameters from the predicted peak time. That is, from the average power generation amount and the average power consumption obtained in step 2, the time zone of the power amount that reaches the maximum peak is set as the first predicted peak time, and is thereafter set as the initial value of the calculation parameter t1.

(Step 4)
(Supplier side) The predicted peak power at the predicted peak time is calculated from the generated power amount history data and the generated power amount information on that day. That is, by using the calculation parameter t1 obtained in step 3 and the mathematical formula described in FIG. 6, the prediction calculation of power is performed until the predicted peak time, and the predicted peak power is calculated.

(Step A1)
(Supplier side) Check if the prediction calculation has been performed up to the set parameter. If NO, step 4 is looped to calculation parameter t1, and if YES, the process proceeds to step A2.

(Step A2)
(Supplier side) Predicted peak time and predicted peak energy are stored in the database. The data is stored in the database of the storage means 1 on the power supplier side in FIG. This is to keep the value because the processing moves to the customer side.

(Step A3)
(Supplier side) The forecast peak time, forecast peak power amount, and calculation parameter data are transmitted to the customer client. That is, the customer client also transmits a value used for calculation from the supplier server. At this time, a message notifying that the data has been transmitted is not added, and only data transmission is performed.

(Step A4)
(Consumer side) Each predicted power amount at the predicted peak time is calculated from the generated power amount history, the stored power amount history, and the consumed power amount history of the customer client. Using the mathematical formula described in FIG. 6, the power generation amount, the stored power amount, and the predicted power amount of the power consumption amount are calculated. In the mathematical formula, the first item is the power amount at the time of the prediction calculation, the initial value is each power amount detected at the time when the calculation is started, and the second item is the calculation of the power gradient.

(Step B1)
(Customer side) Check whether the calculation has been performed up to the set parameter. If NO, step A4 is looped to calculation parameter t1, and if YES, the process proceeds to step B2.

(Step B2)
(Consumer side) a × power generation + b × power storage−c × consumption = amount of electric power that can be sold, and each electric energy is weighted from the electric energy consumption history data. The amount of power that can be sold is determined from the power generation, power storage, and power consumption determined in step A4. However, since each electric energy varies depending on ambiguous factors such as season and weather, the ambiguity is weighted as a numerical value. Specifically, if the day is sunny in summer and summer and sunny are entered as seasonal parameters, a = 1.3, b = 0 with respect to the average annual power generation, storage, and power consumption .9, the parameter c = 1.2 is derived by a learning calculation method such as a neural network. Or, the change of the seasons is quantified by fuzzy reasoning. For example, when moving from spring to summer, the parameters a, b, and c are all increased by 1.1 times. Conceivable.

(Step B3)
(Customer side) Data on the amount of power available for sale is transmitted to the supplier server. In other words, the electric power data that can be sold and the customer identification data that identifies the customer sent from the customer server are transmitted to rank the supplier server and determine the price multiplication factor. . There is no message, only data transmission.

(Step B4)
(Supplier side) The electric power available amount collected from the customer client is ranked based on the rules of the power supplier. That is, as shown in FIG. 7, the sellable power amount data collected from the customer client is aligned based on the ranking rules determined on the power supplier side. For example, descending order or ascending order.

(Step C1)
(Supplier side) Check if the matching rank is specified by the customer client.
If there is no designation of the power amount rating from the customer client, the process proceeds to Step C2-1, and if there is, the process proceeds to Step C2-2.

(Step C2-1)
(Supplier side) Corresponds with the price multiplier based on the rules of the supplier server that performed the ranking. That is, as shown in FIG. 7, the data on the amount of electric power that can be sold by the customer client arranged in step B4 is associated with a price multiplication factor corresponding to the electric energy band.

(Step C2-2)
(Supplier side) Price multiplier corresponding to the desired rank of the customer client is attached. If there is a rank of the electric energy band desired by the customer client, the price multiplier corresponding to the rank is associated.

(Step C3)
(Supplier side) The customer client is informed of the start time and the purchased electric energy at an arbitrary time before the peak time. That is, a message is transmitted from the supplier server to the customer client to notify the start of power trading.

(Step C4)
(Supplier side) The power supplier starts buying from the start time. That is, at the contact start time, the power supplier automatically starts purchasing power.

(Step C5)
(Supplier side) Send the purchase amount and purchase price. In other words, when the power purchase is completed, the supplier server notifies the final purchase amount and the amount by a message.

  The second embodiment relates to the operation of the computer accompanying the announcement from the power supplier. As shown in FIG. 10, when the customer client receives the announcement, it is not only displayed on the information terminal, but also the LED illumination is changed or blinked. For example, when an announcement regarding the content of power purchase is made, the LED illumination is changed from daylight white to a fluorescent color, and when an announcement about the content of power purchase completion is made, the LED illumination is blinked.

  In addition, if it is a type of illumination that can change color, it is possible to notice by changing the color from red to blue. However, since it is rare to turn on the light during the day, it is more effective to give priority to the action, such as vibration, than to notice it with light. Therefore, it is also effective to execute an action to call attention by generating a synthesized voice that vibrates a highly portable device such as a mobile phone or a TV remote control. For example, when an announcement to purchase power is made, the mobile phone or TV remote control is vibrated 4 times, or the set melody or dedicated synthesized voice is generated. Operation is possible.

  The same applies when the purchase of power is completed, but a different content is set. For example, the number of vibrations is set to 8 times, or the vibration pattern is set to a different setting, and the operation is performed when contact is received. Synthetic speech can clarify the difference.

  Assuming power consumers with motion sensors installed, if there is a reaction in the kitchen or living room, vibrate the main power management monitor or TV remote control, and if there is a reaction in the individual room It is also possible to vibrate the sub power management monitor and mobile phone.

  In the first embodiment, the description is made on the assumption that the power supplier performs the calculation on the power supplier side and the power consumer performs the calculation on the power consumer side, but the present invention is not limited to this. Absent. The third embodiment relates to a case where a third party or a company is contracted to perform calculations on the power supplier side and calculations on the power consumer side. As shown in FIG. 11, for example, at 24:00 every day, the supplier server and the customer client encrypt the generated power information, the stored power information, and the power consumption information, and then transmit them to the third party server. The third party server receives the data, tags the date and day of the week, and saves it in a predetermined storage device. The storage device may be a hard disk, for example.

  In the third-party server, communication and calculation are performed according to the calculation means of the supplier server and the customer client from the data of the same day of the week or the data of consecutive days, and the contents of claims 1 to 9 are performed. As a calculation result, the purchased power amount and the predicted peak time are communicated to each supplier server, and each customer client is notified of the available power amount and the power purchase time. At the time of power purchase, the customer client is notified of the purchase start content, and power transmission is automatically started from the power consumer to the power supplier. Power transmission is performed from the power purchase start time until the power transmission amount reaches the saleable power amount, and the time when the sellable power amount is satisfied is the purchase end time. When the purchase is completed, the third-party organization or the company transmits the purchased power amount and the purchase price as details to the power consumer.

  It should be understood that the embodiments disclosed herein are illustrative and non-restrictive in every respect. The scope of the present invention is defined by the terms of the claims, rather than the description above, and is intended to include any modifications within the scope and meaning equivalent to the terms of the claims.

  The present invention makes it possible to contribute to stabilization of power supply by suppressing peak power from both power suppliers and power consumers.

1, 2, 3, 4 Steps 1, 2, 3, 4
A1, A2, A3, A4 Steps A1, A2, A3, A4
B1, B2, B3, B4 Steps B1, B2, B3, B4
C1, C2-1, C2-2, C3, C4, C5 Step C1, C2-1, C2-2, C3, C4, C5

Claims (11)

Perform power exchange between the plurality of power consumed electric home with a power supplier and a power generation facility, a power automated trading system for suppressing the peak power,
History of the measured values of the generated power and / or stored power amount of the power consumed electric home, based on the history of the measured values of the power consumption of及beauty power consumers, the sale amount of power electricity consumers and line cormorant arithmetic means of the operation,
Before Ki演 obtained from calculation means, wherein a computing result of the sale amount of power electric power consumer, said power supplier is a trading parameters for buy power from the power customer, the peak power generation Means for calculating and determining a transaction parameter that highly evaluates a power consumer with a larger amount of power that can be sold by comparing at least two power customers for the amount of power that can be sold in a period of
Means for performing the power transaction according to the transaction parameter. An evaluation value of a power consumer is calculated on the basis of a contract and a contract determined by a power supplier, and means for preferentially purchasing power from a power consumer having a higher evaluation value rank is provided. The automatic power trading system according to claim 1 . An evaluation value of a power consumer is calculated on the basis of a contract or contract determined by a power supplier, and means for preferentially purchasing power from a power consumer having a lower evaluation value rank is provided. The automatic power trading system according to claim 1 . For the calculated evaluation value, a price multiple corresponding to each power consumer is calculated by rating according to the area of the evaluation value based on the rules and contracts determined by the power supplier, and the price multiple is 4. The automatic power trading system according to claim 2, wherein the unit price of the charge is multiplied to calculate a purchase unit price . 5. The automatic power trading system according to claim 4, wherein the price multiplier corresponding to each electric power consumer can be fixed from the electric power consumer side, and the amount of electric power that can be sold within the evaluation value area corresponding to the price multiplier is set. An automatic power trading system characterized by comprising means for calculating . Contact means for announcing the time information, power information and power unit price calculated on the power supplier side to the power control device or network compatible information device / terminal on the power consumer side selected as the target of the power transaction from the power supplier side The automatic power trading system according to any one of claims 1 to 5, further comprising: A feature is provided that transmits an announcement to start power purchase from a power supplier side to a power control device or a network-compatible information device / terminal on a power consumer side, and automatically starts power purchase according to the announcement. The automatic power trading system according to any one of claims 1 to 6 . In the case where an electric power consumer has already made an electric power transaction when an announcement to start electric power purchase is transmitted from the electric power supplier side to the electric power control device on the electric power consumer side or the network-compatible information device / terminal. The price multiplying factor described in claim 2 is applied only to the time from the purchase start time announced by the power supplier to the time when the power purchase is completed, and the purchase amount is set to the power control device or network. 2. The automatic power trading system according to claim 1, further comprising means for contacting a corresponding information device / terminal . As a mediator between the power supplier and the power consumer, a third-party organization or a third-party company can perform computations by means of computing means on the power supplier side and the power consumer side, and data storage between the power supplier and the power consumer The automatic power trading system according to any one of claims 1 to 8, wherein the system can have a means . 7. A contact means that enables a third party organization or a third party company to communicate from the power supplier side to the power consumer side as an intermediary between the power supplier and the power consumer. The electric power automatic buying and selling system of any one of -8 . When the power supplier starts to purchase the amount of power that can be sold from the power consumer, the status of the equipment with respect to the power consumer's home network-compatible device, home / external network-compatible device, or devices that can be linked to them The automatic power trading system according to any one of claims 1 to 10, further comprising means for instructing a change or a specific operation instruction .

Images