JP2010028879A - Method of inducing power demand and its system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To establish a method for a power consumer to select a time zone with less discharge amount of CO2 by himself and to effectively utilize a power generation facility with less discharge amount of CO2. <P>SOLUTION: An automatic meter is arranged at the power consumer, and the use of the power is measured at prescribed intervals in advance, and base power use average in month is computed in advance. Meanwhile, a power demand inductive system obtains consumer information in an echo point target region from a customer managing system, and obtains the quantity of generated power of a power generation facility with less environmental load from a quantity-of-generated-power estimating system, and also obtains entire power supply estimation data from a feed control system, and computes a time zone suitable for inducing demand, based on this entire supply estimation data and information about the quantity of generated power of the generation facility with less environmental load, on the power supplier side. By reporting this information to the consumer beforehand, the consumer himself is accelerated to consciously use the power generation facility with less environmental load, and as this incentive, an echo point is issued. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a technique for inducing demand for electric power.

  The amount of power demand varies greatly depending on the season and time zone. There is a shortage of power during peak hours of power demand, and the rest is surplus. Therefore, smoothing the power demand is an important issue.

  In Patent Document 1, when the power supplier predicts the load demand, and when the power exceeds the current power generation amount, the incentive power rate is calculated and it is cheaper than starting the power generation facility for peak load, An incentive power load control technique that pays a reduced incentive fee is disclosed.

JP 2002-176729 A

  In order to realize a society with less CO2 emissions, there is a growing social need to make effective use of environmentally friendly power generation facilities (wind, solar, solar, geothermal, small hydro, etc.). Patent Document 1 discloses a technique that leads to a reduction in the overall load of power demand, but does not lead to effective use of power generation equipment with less CO2 emissions. In addition, a method for inducing demand for electric power while conscious of whether the customer himself is in a time zone where the amount of CO2 emission is large or small is not included.

  The object of the present invention is to solve the above problems, and to provide a method and a system for effectively using a power generation facility with low CO2 emission by allowing a power consumer to choose a time zone with low CO2 emission.

  First, environmentally friendly power generation facilities (wind, solar, solar heat, geothermal, small hydropower, etc.) exist in the distribution network, and these power generation facilities are called new energy. In addition, power supply companies (electric power companies) have power generation facilities such as thermal power (oil, coal, LNG), nuclear power, and hydropower, and the overall demand is adjusted while adjusting the output of these power generation facilities according to time zones. The supply is balanced, and a part of this is combined with the new energy that exists in each region to supply the whole. The amount of power generated by new energy depends on natural phenomena (air volume, sunlight volume, solar heat volume, geothermal volume, water volume) and is difficult to control with fuel. The new energy power generation system emits less CO2 than thermal power. On the other hand, thermal power (oil, coal, LNG) can be controlled by fuel or the like. Nuclear power and hydraulic power can be controlled gently by fuel and the like, and CO2 emissions are smaller than thermal power. And this invention is the 2nd electric power generation system (for example, new energy) from which electric power generation amount changes depending on the electric power obtained by the 1st electric power generation system (for example, thermal power) which can control electric power generation amount, and a natural phenomenon. When the power obtained by the above is supplied to the consumer together, the predicted power generation amount by the second power generation method is larger than the predicted power demand (total supply power generation amount) or the second power generation method It has the means to notify a consumer of the period when the operation rate of power generation equipment is high. Preferably, the power generation amount can be controlled to the predicted power generation amount by the second power generation method with respect to the predicted power demand amount, but the environmentally deteriorated waste (for example, CO2) is compared with the first power generation method. Means for notifying a consumer of a period when the total predicted power generation amount, which is the sum of the predicted power generation amounts by a third power generation method (for example, nuclear power, hydropower) with a small amount of emissions, is large.

  Specifically, an automatic meter-reading device is provided to a power consumer, the power usage is measured at a predetermined interval (for example, 30 minutes), and the monthly average base power usage is calculated in advance. On the other hand, on the power supplier side, the power demand induction system obtains the customer information of the eco point target area from the customer management system, and the new energy power generation forecasting system in the target area acquires the new energy power generation facility in the target area. The amount of power generated by the power generation facility in Japan is obtained, and the total demand forecast data for power is obtained from the power supply control system. Based on this total supply forecast data, the environmental contribution ratio is calculated, and the environmental contribution ratio and the target area are calculated. Taking into account the utilization rate of a certain new energy, calculate a time zone suitable for demand induction. Then, by informing the customer of this information in advance, the customer himself / herself is consciously encouraged to actively use the power generation equipment with a small environmental load, and the eco point is issued as this reward.

  According to the present invention, it is possible to induce a power consumer to select a time zone with a small amount of CO2 emissions and use the power, so that the environment-friendly power generation equipment (wind power, solar light, solar heat, geothermal heat with low CO2 emissions) , Small hydropower, etc.).

  First, an outline of the invention will be described.

  In the power supply control system of the power supply company (electric power company), demand forecast data from the next day is also managed. In response to this electric power demand, electric power such as thermal power (oil, coal, LNG), nuclear power, hydropower, and new energy is mixed and supplied, and this ratio varies depending on the season and time zone. In addition, many of the new energy power generation facilities are arranged not in the supply source but in the distribution network. In view of this, the power supply company registers in advance in the customer DB the areas where the new energy closely associated with each area is effectively utilized. And the means for acquiring automatic meter-reading data with respect to these consumers, and the contact means which notifies the time zone with little environmental load to a consumer are provided. On the other hand, the power supply company side has a demand induction system that realizes electric power demand induction, an automatic meter reading system, a customer management system, a regional new energy generation prediction system, and a power supply control system. The demand induction system obtains the operating rate of the power generation facility with a low environmental load from the regional new energy generation forecasting system, obtains the overall power supply forecast data from the power supply control system, and based on this total supply forecast data In addition, an environmental contribution ratio is calculated, and a time zone suitable for inducing demand is calculated by taking into account this environmental contribution ratio and fluctuations in the operating rate of new energy power generation facilities in the target area. Further, in order to notify the customer in advance of the time period for inducing the demand, the consumer side has a display terminal such as a mobile phone and answers whether or not to respond to the demand induction. As for whether or not the demand has been guided, the automatic meter reading system confirms the actual results, and if the demand is guided, the eco point is issued to give the customer a merit. At this time, the power induction system (electric power company) may have the demand induction system, or the power generation company with new energy may have it as a means to make effective use of its power generation equipment. good.

Next, embodiments of the present invention will be described in detail with reference to the drawings.
FIG. 1 is an overall schematic diagram in the present embodiment. The power supply company mixes power from multiple power generation facilities to supply power to customers, including thermal power, hydropower, nuclear power, and new energy (wind power, solar power, solar heat, geothermal, small hydropower, etc.) Yes. In many cases, new energy power generation facilities are connected to the distribution network. FIG. 1 shows a model in which power is supplied to customers in the A area from the wind power generator α adjacent to the A area. When there is a power generation amount from the wind power generator α, the power supply from the thermal power generation facility is reduced to adjust the overall power supply. For consumers, an automatic meter-reading device is introduced to grasp the amount of electricity used, and then, in order to induce demand with an awareness of environmental contributions, display terminals ( Represents a mechanism for communicating information (including mobile phones and Internet terminals).

  FIG. 2 shows a network configuration diagram for carrying out the present invention. The power supplier has a demand induction system 1, a regional new energy generation prediction system 6, a customer management system 7, an automatic meter reading system 8, and a power supply control system 9, which are a network within the power supplier. linked. On the other hand, the consumer side has a display terminal 2 (including a mobile phone, an Internet terminal, etc.), and this display terminal 2 is connected to a demand induction system 1 of a power supply company through a network 4. The automatic meter reading device 3 is connected to an automatic meter reading system of a power supply company through a network 5. Each DB (database) is formed in a storage device.

  The power supplier's demand guidance system 1 includes a CPU 101, an I / F 102, a memory 103, a communication means 104, and an I / O 105. The I / F 102 in this case is an input / output interface such as buttons, a display, and various keyboards. In order to realize the function of executing the demand inducing method of the present invention, the program 150 stored in the program database 160 such as a rewritable memory is read into the memory 103 and executed by the CPU 101 as an arithmetic unit. Between the various functional units and the communication means 104, the I / O unit 105 executes data buffering and various mediation processes. The program 150 includes an environmental contribution prediction function 106, a customer contact function 107, a reception function 108, a demand confirmation function 109, an eco point calculation function 110, and a communication function 111. The environmental contribution prediction function 106 is a function that creates an environmental contribution prediction DB 181 from the overall demand prediction DB 650 and the power generation amount prediction DB 601. The customer contact function 107 is a function for notifying the result of issuing an e-mail or issuing an eco point for prompting demand induction. The reception function 108 is a function for receiving an application for use of eco-point target energy. The demand confirmation function 109 is a function for confirming whether or not the consumer has used the eco-point target energy by using automatic meter reading data.

  The eco-point calculation function 110 is a function for calculating eco-points for each consumer using data in the eco-point DB 182. The communication function 111 is a function for communicating with a display terminal of a consumer and each system in the power supply company. The DB includes an application DB 180, an environmental contribution prediction DB 270, and an eco point DB 182. In addition, the power supply company includes a wind power generation amount prediction system 6, a customer management system 7, an automatic meter reading system 8, and a power supply control system 9. The wind power generation amount prediction system 6 includes a weather DB 600, a wind power generation amount. A prediction DB 601 and a wind power generation result DB 602 are provided. The customer management system 7 includes a customer DB 700. The automatic meter reading system 8 includes a daily meter reading DB 800 and a monthly average DB 801. The power supply control system 9 includes an overall supply prediction DB 900 and an overall supply result DB 901.

  On the other hand, the display terminal (customer K) 2 includes a CPU 201, an I / F 202, a memory 203, a communication unit 204, and an I / O 205. In this case, the I / F 202 is an input / output interface such as buttons, a display, and various keyboards. In order to realize the function of executing the demand inducing method of the present invention, the program 250 stored in the program database 260 such as a rewritable memory is read into the memory 203 and executed by the CPU 201 as an arithmetic unit. Between the various function units and the communication means 204, the I / O unit 205 performs data buffering and various mediation processes. The program 250 includes a demand induction application function 206, an application confirmation function 207, an eco point confirmation function 208, and a communication function 209. The demand induction application function 206 is a function for applying to the power supply company for the use of eco-point target energy. The application result confirmation function 207 is a function for confirming the application result of the use of eco-point target energy. The eco-point confirmation function 208 is a function for confirming receipt of issued eco-points. This function is also used to check if eco points have not been issued. The communication function 209 is a function for communicating with the display terminal 2 of the consumer and the demand induction system 1 of the power supply company.

  The automatic meter reading device 3 includes a CPU 301, an I / F 302, a memory 303, a communication unit 304, and an I / O 305. The I / F 302 in this case is an input / output interface such as buttons, a display, and various keyboards. In order to realize the function of executing the demand inducing method of the present invention, a program 350 stored in a program database 360 such as a rewritable memory is read into the memory 303 and executed by the CPU 301 as an arithmetic unit. Between the various function units and the communication unit 304, the I / O unit 305 executes data buffering and various mediation processes. This program 350 includes a power usage amount collection function 306 and a communication function 307. The power usage amount collection function 306 is a function that collects and holds the power usage amount of each consumer (in this case, the usage amount in units of 30 minutes). The communication function 307 is a communication function for raising the consumer's power usage collected using the power usage collection function 306 to the automatic meter reading system 8 of the power supplier 1. The automatic meter-reading apparatus 3 is preferably provided between the customer's house and the power distribution facility.

  The network 4 is a network that connects the power supplier 1 and the display terminal 2, and can be a mobile phone network, the Internet network, or the like. The network 5 is a network for automatic meter reading data collection, and is a data collection network created using a PHS network, PLC (Power Line Communications), or the like.

  Fig.3 (a) has shown the A area demand amount image of the object day (a certain day). At this time, it is positioned as three eco-point target energies: new energy that does not emit CO2 during power generation, hydropower, and nuclear power. Regarding the demand for the A district on the target day, at 7:00 am, the demand for the entire A district is 10000 kW, the new energy (in this case, wind power) is 6000 kW, the nuclear power and the hydropower are 2000 kW, 80% of the total. This is the eco point target energy that does not emit CO2. On the other hand, in the case of 11:00 am, the total demand amount is 14,000 kw, new energy (in this example, wind power) is 2000 kw, nuclear power, and hydropower is 2000 kw. In this case, 35% of the total becomes ecopont target energy, and the environmental contribution ratio decreases. For example, when wind power generators are introduced for the purpose of contributing to the environment on a regional basis, the effect can be obtained by shifting demand during times when this environmental contribution ratio is high. In the absence of such a mechanism, it is unclear whether the wind turbine generator can be used effectively for the purpose of environmental contribution even if it is introduced.

  FIG. 3B shows an image of power consumption on the target day of the customer K. Customer K is an example of shifting the use of electricity on the target day to a time zone of 7:00 according to demand induction. For example, it is a case where the laundry that was normally performed around 11:00 am is shifted to 7:00 am. At this time, the electricity usage subject to eco-point conversion is calculated as the electricity usage on the target day minus the base electricity usage, and this electricity usage subject to eco-point conversion is calculated based on the electricity supplier (electric power company) or local power generation. A method of calculating by multiplying the coefficient set by the operator will be described later.

  FIG. 4 shows a power generation amount prediction diagram of the wind power generation apparatus α on the demand induction target date. The target date is from 0:00 am to 9:00 am, indicating a case where a power generation amount of 4000 kw or more is expected to be secured. In this example, it is assumed that there are 800 50A and 100V consumers in the A area, and the power generation amount of the wind power generator α is 4000 kw or more (predetermined predetermined value or more). ), It is assumed that all participants can participate in the Eco-Pont in Area A. In addition, about the number of consumers used as this eco point object, it can also be made into a more efficient number of consumers based on the track record obtained by automatic meter-reading. Further, it is not necessary to provide a threshold value of 4000 kw or more (a predetermined value or more).

  FIG. 5 shows the weather DB 600 of the regional new energy generation amount prediction system 6. The wind speed information of the target area obtained from the Japan Meteorological Agency is held at regular intervals. The record includes date, time (in 30 minute units), and average wind speed.

  FIG. 6 shows a regional new energy generation prediction DB 601 of the regional new energy generation prediction system 6. The predicted power generation amount that can be generated by the target wind power generator α and the operation rate thereof are held at regular intervals. The operating rate can be calculated by (power generation amount / maximum possible power generation amount) × 100. The record includes date, time (in 30-minute units), regional new energy predicted power generation, and regional new energy predicted operating rate.

  FIG. 7 shows the regional new energy generation amount results DB 602 of the regional new energy generation amount prediction system 6. The actual amount of power generated by the target wind power generator α and the actual operation rate are held at regular intervals. The record includes date, time (in 30-minute units), regional new energy actual power generation, and regional new energy actual operation rate.

  FIG. 8 shows a customer DB 700 of the customer management system 7. As customer information, a customer number, a customer name, an address, and an eco point target area type are held. Further, it may include a mobile phone or a personal computer e-mail address. Here, the customers of customer numbers AA0001 to AA0006 are identified as being eco-point target persons of the wind power generator α by putting a symbol of α in the eco-point target area column.

  FIG. 9 shows the application DB 180 of the demand guidance system 1. Among all customers, the customer number and customer name of the customer who applied for are held.

  FIG. 10 shows the overall supply prediction DB 900 of the power supply control system 9. As a predicted value of the supply amount for each power generation type, a total supply predicted power generation amount that is a sum of the new energy predicted power generation amount, the thermal power generation prediction amount, the nuclear power generation prediction amount, and the hydraulic power generation amount is held. The record includes date, time (in 30-minute units), new energy predicted power generation, thermal power predicted power generation, nuclear predicted power generation, hydropower predicted power generation, and total supply predicted power generation.

  FIG. 11 shows the overall supply record DB 901 of the power supply control system 9. As the actual value of the supply amount for each power generation type, the total actual power generation amount that is the total of the new energy actual power generation amount, the thermal actual power generation amount, the nuclear actual power generation amount, and the hydropower actual power generation amount is held. The record includes date, time (in units of 30 minutes), new energy actual power generation amount, thermal power actual power generation amount, nuclear actual power generation amount, hydropower actual power generation amount, and total supply actual power generation amount.

  FIG. 12 shows the daily meter reading DB 800 of the automatic meter reading system 8. Holds the amount of power used for each meter by time zone. The record includes a date, a customer number, a meter number of a meter installed at a consumer, a time (in units of 30 minutes), and a power usage amount every 30 minutes.

  FIG. 13 shows the monthly average meter reading DB 801 of the automatic meter reading system 8. Monthly average base power usage, which is the monthly average of the lowest daily usage values, and the monthly average of overall power usage, as the average value for the month calculated from actual power usage by time zone for each meter The power consumption is retained.

  FIG. 14 shows the environmental contribution prediction DB 181 of the demand guidance system 1. Regional new energy forecast generation amount of regional new energy generation forecast DB 601 of regional new energy generation forecast system 6, new energy forecast generation amount, nuclear forecast power generation amount, hydro prediction power generation amount of overall supply forecast DB 900 of power supply control system 9 And the total predicted power generation (demand), the environmental contribution ratio (= environmental contribution target predicted power generation / total supply predicted power generation x 100), Demand guidance optimality (environmental contribution ratio x regional new energy utilization rate / 100 *) is maintained. * This value of 100 is a value for determining the number of digits of the demand induction optimality and is arbitrary.

  FIG. 15 shows the eco point DB 182 of the demand guidance system 1. From the daily meter reading DB 800 of the automatic meter reading system 8, the power consumption at a certain time for each meter, the difference value with the monthly average base usage amount of the monthly average meter reading DB 801 of the automatic meter reading system 8, the demand induction that is the target time for giving eco points Flag, local new energy actual power generation amount of regional new energy generation amount prediction DB 602 of local new energy generation amount prediction system 6 and new energy actual power generation amount, nuclear actual power generation amount, hydropower actual result of overall supply result DB 901 of power supply control system 9 The total amount of power generated and the total amount of power generated by the environment contribution target, the total amount of power generated by the environment, and the ratio of environmental contribution as the portion of the total power generation that contributes to the environment (= actual amount of power contributed to the environment / total amount of actual power supply supplied x 100), eco point The coefficient (environmental contribution performance ratio x regional new energy performance utilization rate / 100 *) is maintained. * This value of 100 is an arbitrary value for determining the number of digits of the eco-point coefficient.

  A value obtained by multiplying and adjusting the amount of power used in the eco point target time (difference value with the monthly average base usage amount), the eco point coefficient, and the demand induction flag value as the result of demand induction is set as the eco point. At this time, there is also a method of setting a difference when the amount of power used in the eco point target time is larger than the monthly average power consumption.

  That is, eco point = electric energy used for eco point target time (difference value with monthly average base use amount) × eco point coefficient × demand induction flag value / 100 *. * This value of 100 is used to determine the number of digits of eco-points and is arbitrary.

  FIG. 16 is a processing flow in the present invention.

  As a precondition, it is assumed that an electronic automatic meter-reading meter is installed at each consumer, and that an infrastructure for collecting meter readings to an electric power company is established over some communication line (eg PHS). is doing. In the infrastructure, the electronic automatic meter-reading meter measures the amount of power used by the consumer every 30 minutes as a meter measurement value (step 1000). The measurement time interval varies, but here it is assumed that it is every 30 minutes. The automatic meter reading system 8 receives the 30-minute value of the meter measurement value for each consumer from the automatic meter reading device 3, and sets (stores) it in the power consumption of the daily meter reading DB 800 (FIG. 12). Next, the power company's demand guidance system 1 calculates the average value of the base usage for the past month (charge collection period) based on the power usage for each customer. The demand induction system 1 sums the amount of power used for each meter (for each consumer) by time period, divides this by the number of days in a month, and calculates the monthly average power for each meter (for each consumer). Calculate usage. The demand induction system 1 extracts the power usage amount in the time zone with the lowest power usage amount from the power usage amount for each day (for each customer) for each meter (for each customer), and the power in the lowest time zone. Monthly average base power usage for each meter (per customer) is calculated by adding up the usage for one month and dividing this by the number of days in a month. The demand guidance system 1 sets the monthly average power usage and the monthly average base power usage to the monthly average power usage and the monthly average base power usage of the monthly average meter reading DB 801 (FIG. 13). The base usage amount is the amount of power that is always consumed by the consumer at all times, such as a refrigerator (step 2000).

  Next, the regional new energy generation amount prediction system 6 of the power supply company obtains weather forecast value data (for example, wind speed information) from the Japan Meteorological Agency, and sets the wind speed at predetermined time intervals in the weather DB 600 (FIG. 5). (Step 2005). The regional new energy generation amount prediction system 6 may obtain weather forecast value data from the Japan Meteorological Agency system via a network or may be obtained by input from an operator. From the weather forecast value data, the wind speed of tomorrow and the like are found, and as a result, the amount of wind power generation on the next day of the target district (in this case, A district) can be predicted. It has been found that the amount of power generated by the wind turbine generator is proportional to the cube of the wind speed. Based on the wind speed set in the weather DB 600, the regional new energy generation prediction system 6 calculates the power generation amount of the target wind power generator using a mathematical model proportional to the cube of the wind speed, and generates the power generation amount in the wind power generation prediction DB. The predicted value is set (step 2010).

  Next, the initial value 0 is set to the demand induction flag of the eco point DB (FIG. 15) (step 2015). The demand induction flag is a flag that expresses a time period for demand induction as “1” and a time period when it is not as “0”. The time zone may be determined in units of 30 minutes or in units of 1 hour.

  Next, creation of the environmental contribution prediction DB will be described. First, the demand induction system 1 reads the three power generation amounts of the new energy predicted power generation amount, the nuclear power generation prediction power generation amount, and the hydropower prediction power generation amount in the time unit of the overall supply prediction DB 900 (FIG. 10), and sums them to contribute to the environment. It is set in the environmental contribution target predicted power generation amount column of the prediction DB 181 (FIG. 14). (In this case, the predicted nuclear power generation amount is included in the predicted environmental power generation target generation amount, but it may be excluded.) The demand induction system 1 determines the total supply predicted power generation amount in the overall supply prediction DB 900 (FIG. 10). ) Is read and set as it is. After that, the environmental contribution target predicted power generation amount / total supply predicted power generation amount is calculated, the environmental contribution ratio is calculated, and set to the environmental contribution ratio of the environmental contribution prediction DB 181. Further, the demand guidance system 1 reads the regional new energy predicted operation rate from the regional new energy generation amount prediction DB 601 (FIG. 6) and sets it in the region new energy predicted operation rate column of the environmental contribution prediction DB 181. After that, the demand induction system 1 calculates the regional new energy predicted operation rate × environment contribution ratio ÷ 100 *) and sets it to the demand induction optimization degree of the environment contribution prediction DB 181. * This value of 100 is a value for determining the number of digits of the demand induction optimality and is arbitrary. In the case of this embodiment, the power generation method that does not emit CO2 during power generation is considered as the environmental contribution power generation method, and the new energy, nuclear power, and hydraulic power generation methods are summed up. Based on the coefficient of CO2 emission basic unit for each power generation method of the power plant, the method of calculating the CO2 emission amount per unit time and converting it to the environmental ratio may be taken (step 2020).

  Next, step 2025 will be described. Step 2025 is a step for carrying out a determination for determining a time zone for promoting demand induction. The demand induction system 1 determines whether or not the demand induction optimality of the environmental contribution prediction DB 181 (FIG. 14) is 40 or more (predetermined predetermined value or more), and the region of the regional new energy generation prediction DB (FIG. 6). It is determined whether the new energy predicted power generation amount is 4000 or more (predetermined predetermined value or more), and the eco point DB when the demand induction optimum is 40 or more and the local new energy predicted power generation amount is 4000 or more (FIG. 15). "1" (predetermined value) is set to the demand induction flag (step 2030). The demand induction optimality depends on the operating rate of the wind power generation facility in the target region and the amount of wind power generation, and increases as the operating rate of the wind power generation facility increases and the wind power generation amount increases. The initial value of the demand induction flag is “0”. It should be noted that it is preferable that the threshold value of the demand induction optimality 40 and the target wind power prediction power generation amount 4000 can be changed as variables.

  Next, the demand guidance system 1 notifies the customers in the eco point target area of the customer DB (FIG. 8) the time zone in which the demand guidance flag of the eco point DB 182 (FIG. 15) is 1 (step 2030). In the present embodiment, the customer numbers AA0001 to AA0006 are the target persons to contact the consumers in the eco point target area of the wind power generator α, and AA0007 and AA0008 are target persons in other areas. Outside. The contact method may be e-mail to a customer's mobile phone or personal computer, a homepage of a power supplier, a display terminal, or the like. By registering a mail to the customer's mobile phone in advance for each customer number, it is possible to specify the mail to the customer's mobile phone. The customer who has been contacted decides whether or not to use the energy for the next day's Eco Point. For example, it is conceivable to use electricity in a washing machine, a vacuum cleaner, an ironing machine, etc. during the time period when demand is induced the next day. In addition, if it is originally planned to go out, the eco point target energy may not be used. Alternatively, there may be a case where the user goes out but reserves a washing machine or a dishwasher with a timer (step 1005). The customer informs the electric power company that he or she will use the energy for the next day's eco point by reply mail or the like (step 1010). The electric power company's demand guidance system 1 accepts the application of the customer and at the same time notifies the customer of the completion of the application acceptance by a reply mail (step 2040).

The next day, the power supply company supplies power to the customer as usual (step 2045). At the same time, the consumer consumes power (step 1025). The power supply company may use the application acceptance completion result for power demand prediction on the next day. The meter measures the power usage status of the consumer, and the automatic meter reading device 3 transmits the meter data to the power supplier (step 1030). Then, the power induction system 1 on the power supplier side obtains this meter information, calculates the difference between the power usage amount of the application consumer and the monthly average base power usage amount, and saves the eco point DB 182 (FIG. 15). Store it in the difference column with the monthly average base usage. (Step 2050)
Next, processing for calculating eco points will be described using the eco point DB 182 (FIG. 15). The eco point is calculated by “difference from monthly average base usage” × “eco point calculation coefficient” ÷ 100 * in the eco point DB 182. * This value of 100 is a value for determining the number of digits of the demand induction optimality and is arbitrary. Here, the difference from the monthly average base usage is multiplied by the demand induction optimality, but instead of “difference from monthly average base usage”, there is also a method such as “difference from monthly average usage”. Possible (step 2055).

  Next, in step 2060, the power induction system 1 issues an eco point when the total eco point column in the eco point DB 182 is “1” or more (step 2065). Otherwise, the eco point cannot be issued ( Step 2070). At this time, the customer confirms that the eco point cannot be issued (step 1045).

  When the eco point is issued, the customer can receive the eco point (step 1035) and use the eco point (step 1040). For example, if eco-points can be accumulated, it can be used for services that can be converted into electronic money for mobile phones or for various services during shopping, and a society that contributes to the environment while finding benefits for consumers can be realized. .

  The present invention is applicable to a system that induces the use of power.

Overall schematic diagram in this embodiment Network configuration diagram for carrying out the present invention Image of demand volume of the entire district on the target date and power consumption image of a consumer. The power generation amount prediction diagram of the wind power generation apparatus α on the demand induction target day. The data block diagram of weather DB. The data block diagram of local new energy generation amount prediction DB. The data block diagram of local new energy generation amount results DB. The data block diagram of customer DB. The data block diagram of application DB. The data block diagram of whole supply prediction DB. The data block diagram of whole supply performance DB. Data structure diagram of daily meter reading DB. The data block diagram of monthly average meter-reading DB. The data block diagram of environmental contribution prediction DB. Data configuration diagram of the eco point DB. Overall processing flow diagram.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Electric power induction system, 2 ... Display terminal, 3 ... Automatic meter-reading apparatus, 4, 5 ... Network, 6 ... Regional new energy generation prediction system, 7 ... Customer management system, 8 ... Automatic meter-reading system, 9 ... Feed control system 9.

Claims (11)

When supplying the customer with the power obtained by the first power generation method capable of controlling the power generation amount and the power obtained by the second power generation method in which the power generation amount changes depending on the natural phenomenon, In the electric power demand induction system capable of inducing the use of electric power by the consumer,
A period in which the predicted power generation amount by the second power generation method is large with respect to the predicted power demand amount or the predicted operation rate of the power generation facility of the second power generation method is high is sent to the customer before the period starts. A power demand induction system comprising means for notifying. In the electric power demand induction system according to claim 1,
The means is capable of controlling the predicted power generation amount and the power generation amount by the second power generation method with respect to the predicted demand amount of the electric power, but the discharge amount of environmentally deteriorated waste compared to the first power generation method. A power demand guidance system for notifying the consumer of a period in which the total predicted power generation amount by the third power generation method with a small amount is small before the period starts. In the electric power demand induction system according to claim 1,
The electric power demand guidance system characterized by giving the said consumer the point according to the usage-amount of the electric power in the said period notified. When supplying the customer with the power obtained by the first power generation method capable of controlling the power generation amount and the power obtained by the second power generation method in which the power generation amount changes depending on the natural phenomenon, In the power demand induction method for inducing the use of power by the consumer,
A period in which the predicted power generation amount by the second power generation method is large with respect to the predicted power demand amount or the predicted operation rate of the power generation facility of the second power generation method is high is sent to the customer before the period starts. A method for inducing electricity demand characterized by notifying. Power obtained by thermal power generation, power obtained by at least one of wind power generation, solar power generation, solar thermal power generation, geothermal power generation and small hydropower generation in a predetermined area, and at least one of nuclear power generation and hydropower generation In a power demand induction system capable of inducing the use of power by the consumer when supplying the consumer with the obtained power,
With respect to the predicted demand amount of electric power, the predicted power generation amount by at least one of wind power generation, solar power generation, solar thermal power generation, geothermal power generation, and small hydropower generation in the predetermined region, and at least one of the nuclear power generation and hydropower generation The period in which the total predicted power generation amount with the predicted power generation amount is large or the operation rate of at least one power generation facility of wind power generation, solar power generation, solar thermal power generation, geothermal power generation, and small hydropower generation in the predetermined region is high. It has a means to notify the said consumer before starting, The electric power demand guidance system characterized by the above-mentioned. Power obtained by thermal power generation, power obtained by at least one of wind power generation, solar power generation, solar thermal power generation, geothermal power generation and small hydropower generation in a predetermined area, and at least one of nuclear power generation and hydropower generation In the power demand induction method for inducing the use of electric power by the consumer when supplying the obtained electric power together with the consumer,
With respect to the predicted demand amount of electric power, the predicted power generation amount by at least one of wind power generation, solar power generation, solar thermal power generation, geothermal power generation, and small hydropower generation in the predetermined region, and at least one of the nuclear power generation and hydropower generation The period when the total expected power generation amount with the predicted power generation amount is large or the predicted operation rate of at least one power generation facility of wind power generation, solar power generation, solar thermal power generation, geothermal power generation, and small hydropower generation in the predetermined region is high. A method for inducing power demand, characterized in that the consumer is notified before starting. A power and power generation amount obtained by a second power generation method that includes a processing device and a storage device, and that has a power generation amount that changes depending on a power and a natural phenomenon. Can be controlled but the amount of discharged environmentally deteriorated waste is less than that of the first power generation method and is supplied to the customer together with the power obtained by the third power generation method. In the electricity demand induction system that can induce the use of electricity by
The storage device includes a predicted power generation amount by the second power generation method, a predicted operation rate of the power generation facility of the second power generation method, a predicted power generation amount by the third power generation method, and the first power generation every predetermined period. The total predicted power generation amount with the predicted power generation amount by the power generation method of 3, the expected power generation amount by the first power generation method, the predicted power generation amount by the second power generation method, and the predicted power generation amount by the third power generation method The total predicted power generation amount, the ratio of the total predicted power generation amount between the predicted power generation amount by the second power generation method and the predicted power generation amount by the third power generation method with respect to the total expected power generation amount, the ratio and the The degree calculated from the predicted operating rate of the power generation facility of the second power generation method is stored,
The processing device determines whether or not the degree is equal to or greater than a predetermined value and whether or not the predicted power generation amount by the second power generation method is equal to or greater than a predetermined value with respect to the record for each predetermined period in the storage device. And determining a predetermined period in which the degree is equal to or greater than a predetermined value and the predicted power generation amount by the second power generation method is equal to or greater than a predetermined value as a period to be notified to the consumer. Electric power demand induction system. In the electric power demand guidance system according to claim 7,
The processing device calculates the ratio by dividing the total predicted power generation amount of the predicted power generation amount by the second power generation method and the predicted power generation amount by the third power generation method by the total expected power generation amount, and the storage A power demand induction system characterized in that it is stored in a device, the degree is calculated by multiplying the ratio and the predicted power generation amount by the second power generation method, and stored in the storage device. In the electric power demand guidance system according to claim 7,
The storage device stores a minimum power usage amount per unit period for each consumer,
The processing device detects the power usage amount of the consumer in the predetermined period based on data from a meter-reading device installed in the consumer, subtracts the minimum power usage amount from the usage amount, and subtracts A power demand induction system, characterized in that a point corresponding to the value obtained as a result of is given to the consumer. In the electric power demand guidance system according to claim 9,
The storage device stores the amount of power used per unit period for each consumer obtained by data from the meter reading device installed in the consumer,
The processing apparatus detects a minimum value of the power usage amount in one day, and stores the minimum value in the storage device as the minimum power usage amount. The electric power obtained by the second electric power generation method in which the electric power generated by the first electric power generation method capable of controlling the electric power generation amount and the electric power generation amount changes depending on the natural phenomenon can be controlled. In order to induce the use of electric power by the consumer when supplying to the consumer with the electric power obtained by the third electric power generation method that emits less environmentally degraded waste than the electric power generation method of In the power demand induction method executed by a computer including a processing device and a storage device,
The storage device includes a predicted power generation amount by the second power generation method, a predicted operation rate of the power generation facility of the second power generation method, an expected power generation amount by the third power generation method, and the first power generation for each predetermined period. The total predicted power generation amount with the predicted power generation amount by the power generation method of 3, the expected power generation amount by the first power generation method, the predicted power generation amount by the second power generation method, and the predicted power generation amount by the third power generation method The total predicted power generation amount, the ratio of the total predicted power generation amount between the predicted power generation amount by the second power generation method and the predicted power generation amount by the third power generation method with respect to the total expected power generation amount, the ratio and the The degree calculated from the predicted operating rate of the power generation facility of the second power generation method is stored,
Whether or not the degree of the processing device is greater than or equal to a predetermined value and whether or not the predicted power generation amount by the second power generation method is greater than or equal to a predetermined value with respect to the record for each predetermined period in the storage device And determining a predetermined period in which the degree is equal to or greater than a predetermined value and the predicted power generation amount by the second power generation method is equal to or greater than a predetermined value as a period to be notified to the consumer. Electric power demand induction method.

Images