JP2012053721A - Electric power retail supporting system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To calculate an electric power sale amount in such a manner to maximize profits for small-scale electric power suppliers such as general homes.SOLUTION: In calculating the sale amount for the maximization of profits within a practical range of sale opportunities, an electric power retail supporting system has means for calculating a amount of electric power which can be generated within a fixed period, means for collecting elements necessary for the calculation, means for predicting an electric power amount demanded in the market, means for collecting information necessary for predicting the electric power amount demanded, means for storing the collected elements, means for calculating an electric power amount consumed in home, means for measuring and collecting the electric power amount consumed in home, means for collecting electric power sale prices in the market, and means for calculating the maximum profits, based on the electric power amount generated, the demand prediction, the amount consumed in home and the electric power sale price.

Description

  The present invention relates to a technique for supporting the sale (supply) of electric power generated or stored at home or the like to consumers. In particular, the present invention relates to the control of power usage in consideration of the profits in this sale.

In recent years, interest in green energy has been increasing against the background of problems such as global warming. Under such circumstances, as a personal effort, by attaching solar power generation devices to homes, there are an increasing number of homes that procure power without relying solely on power purchased from power companies. A household with these power generators becomes a power retailer against the backdrop of the liberalization of electric power, and it becomes possible to sell the electric power generated in ordinary households to other households. As the number of power suppliers increases in this way, price fluctuations of power due to competition between suppliers and a balance between demand and supply easily occur.
Under such circumstances, there is an increasing need for a system that predicts power demand using various parameters as proposed in Patent Document 1.

  In addition, it is necessary to construct a system that supports power trading between a supplier and a consumer proposed in Patent Document 2.

  In addition, power is generally treated as inconvenient, but in recent years, power storage devices with high storage efficiency such as sodium-sulfur (NAS) batteries have been developed. It is possible.

JP2006-331229 JP2004-336890

  As the number of participants in the power supply market increases, mechanisms such as Patent Document 1 and Patent Document 2 are essential regardless of the size of the power supplier. The power supplier makes a power generation and power sale plan based on the demand prediction calculated by the mechanism of Patent Document 1 and the like, and sells the power to the customer using the mechanism of Patent Document 2 and the like. Within this system, if there is little demand for the amount of electricity generated or procured based on forecasts, surplus power will be lost as it is. This results in loss. For power retailers, the accuracy of demand forecasting is the biggest factor affecting profits and the biggest challenge. Major power companies have a mechanism to minimize or avoid these losses, but the same measures are taken for ordinary households that operate power sales businesses on a small scale using power generators installed in their homes. It is not easy to take in terms of scale or money.

  The present invention provides a means for an electric power retailer (especially a small-scale business such as a general household) to operate an electric power retail business without being affected by risks and losses that occur due to a difference between the demand forecast and the actual demand. Is.

  In order to solve the above problems, first, it is assumed that the power is not stored in the present invention but can be stored by using the power storage device. As a result, the power generated or procured but not used is stored in the storage device as the business operator's inventory without being discarded, and the business operator can use or sell it at an arbitrary timing.

  If you think you can store electricity, the nature of the demand forecast will also change. When it is considered that electric power cannot be stored, it is necessary to predict both the minimization of wasteful power generation as much as possible and the maximum possible sales opportunities. On the other hand, if it is assumed that the power can be stored, it is not necessary to generate power or discard the power procured from outside, and it is only necessary to calculate the maximization of sales opportunities. In addition, the power retailer targeted by the present invention is a small-scale business operator such as a general household equipped with a power generation device such as a solar power generation device and a power storage device. A characteristic of these businesses is that they use a power generation device to generate electricity and themselves consume power in their homes.

In the present invention, in calculating the maximum possible sales opportunity described above,
Means for calculating the amount of power that can be generated within a certain period of time,
A means of collecting the elements necessary for the calculation,
Means for predicting electricity demand in the market means for gathering information necessary to predict electricity demand means for storing collected elements;
Means for calculating the amount of power consumed in the home,
Means for measuring and collecting power consumption in the home Means for collecting power selling price in the market Means for calculating maximum profit from power generation, demand forecast, home consumption and power selling price are provided.

  ADVANTAGE OF THE INVENTION According to this invention, the control which suppressed the useless power generation is attained in consideration of the profit of the said electric power retailer about sale of the electric power generated or stored by the electric power retailer.

The figure which shows the function structure in one Embodiment of this invention. The whole processing flow in one Embodiment of this invention. The power generation amount calculation flow in one embodiment of the present invention. The power consumption calculation flow in one Embodiment of this invention. The market price calculation flow in one Embodiment of this invention. The profit maximization calculation flow in one Embodiment of this invention. The figure which shows the electrical storage / sales determination score table used by the process of one Embodiment of this invention.

Hereinafter, an embodiment of the present invention will be described.
FIG. 1 shows a functional block diagram of an embodiment of the present invention. Each function shown in this functional block diagram is realized by a so-called computer. That is, the processing is executed by the CPU according to the program developed in the memory (each device = computer). Further, the processing performed by each business operator is executed by the device of the business operator. As the function of the present embodiment, the most important part is the beneficial maximization calculation function.

  A power generation amount calculation function 83 calculates one of the elements necessary for this calculation. This function has a function of predicting how much solar power generation is possible based on the weather forecast. By multiplying this information and the basic performance of the power generator 1, the amount of power generation within a certain period can be calculated.

  The market price of power within a certain period calculated by the market price calculation function 84 is also used by the profit maximization calculation function 8. Here, both the power price sold by the power retailer and the power price sold by the power company (system power supply) are treated as input values. Electricity retailers set their own prices based on the balance between supply and demand, and the grid power supply sells electricity at a low price during the night when the utilization rate drops. Based on these pieces of information, the market price calculation function 84 calculates a power price within a specific period.

  The power consumption calculation function has a function of sequentially acquiring the power usage status in the home and a function of analyzing a power usage pattern for each time zone, each day of the week, and each season from the accumulated data. Based on the results calculated by the above three functions, the profit maximization calculation function 8 formulates a sales day of power that maximizes profit.

  As shown in FIG. 2, the retailer displays the candidate date calculated by the profit maximization calculation function 8 so that the retailer can confirm the sales date and the target sales price, and if the confirmation is confirmed accordingly, the target storage is displayed. Until the amount of power is secured, the power control function 9 monitors the power consumption of each of the electrical appliances 10-1 to 10-4, and when the total power usage exceeds the specified value, the power supply is stopped, etc. Prioritize. At this time, it is necessary to register the order of stopping the electric appliances 10-1 to 4 in the power control function 9 in advance.

Thus, when a sales target is set using the profit maximization calculation function 8, in this embodiment, power storage is prioritized. However, as described in the market price calculation function 84, the market power price fluctuates. For example, there is a possibility that the electric appliances 10-1 to 4 are operated using the inexpensive nighttime electric power sold by the system power supply or the electric power is stored. It is determined in advance by the profit maximization calculation function 8 which power source is used in which time zone. Regarding the switching of the input power source, the system power source, the power generation device, and the power storage device 3 are properly used appropriately by using the input power source switching function 7.
On the set power sales date, the power sales management function 6 sells the price and power amount set in advance in the market. For this function, the mechanism proposed in Patent Document 2 described above is used. When the set sales volume is sold, calculate the revenue and calculate the next sales target.

FIG. 3 shows details of the power generation amount calculation function 83 described above.
The power generation amount calculation function 83 has a function of obtaining weather forecasts for a certain period (N days) as initial input data. The N day weather forecasts are analyzed one day at a time to determine whether the weather is “sunny” where power generation is possible or “other” weather unsuitable for power generation. This result is recorded in the score table of FIG. If “others” continues, it indicates that other solar power retailers have not been able to generate power. Therefore, in this phase, it is assumed that there is a high possibility that the electricity price will rise due to a decrease in the number of suppliers. In the score table, assuming that the selling price is the highest on the last day of the phase where “others” continue, the results are arranged in order of selling date candidates and set as the result B. Further, by summing up “sunny” days in this score table, the power generation amount within that period is calculated as a result A.

  FIG. 4 shows details of the power consumption calculation function. It is necessary to acquire the usage status of each of the electrical appliances 10-1 to 4 as initial input data of this function. A function of accumulating in a database or the like at a timing such as acquisition of this, and patterning power usage for each household time zone, day of the week, and season based on this data. Here, the power usage fee for N days is predicted and calculated as a result C.

  FIG. 5 shows details of the market price calculation function 84. As already mentioned, the price of electricity provided by power retailers always fluctuates, so this function assumes a charge for each day of the week and time of day based on past performance. Since the power provided by the grid power supply is determined, the correct amount is used as the input value. With this function, when sourcing power from the outside, create a schedule to purchase the lowest price of power, and calculate the schedule for the highest power in N days from past data. . This is the result D.

FIG. 6 shows details of the profit maximization calculation function 8.
Using the power sale candidate date (result B) and the power market price (result D) calculated by the above-described function as inputs, the day with the highest sum among the two input values is calculated.
For power consumption (result C), if it is known in advance in the household schedule (for example, long-term trip) that the power consumption will change in advance, the maximum revenue calculation will take this part into account. It is an input value to the conversion. Taking the above two input values and power generation amount (Result A) into consideration, determination of the power sale candidate date, and the power use plan and procurement plan based on the necessary power consumption and power generation amount The calculation result.

DESCRIPTION OF SYMBOLS 1 ... Electric power generation apparatus, 2 ... Electric power purchase apparatus, 3 ... Electric power storage apparatus, 4 ... Electric power judgment apparatus, 6 ... Electric power sales management function, 7 ... Input power supply switching function, 8 ... Revenue maximization calculation function, 9 ... Electric power control function 10-1 to 4 ... electric appliances

Claims (1)

In an electric power retail support system that supports electric power sales operators to sell the electric power,
In the power generator of the power sales company, means for calculating the amount of power that can be generated in a certain period
A means of predicting power demand in the electricity sales market;
Means for predicting the amount of power used by the seller itself;
A power retail support system, comprising: means for calculating the amount of power to be sold using the power amount that can be generated, the predicted power demand amount, and the predicted power amount.

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