JP2005045899A - System and method for electric power transaction - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To facilitate price competition among power distribution and wholesale operators and improve service for electric power customers. <P>SOLUTION: Data related to electric power customers 14a and 14b are collected and analyzed at data collecting and analyzing equipment 32. Load profile data obtained as the result of this analysis are transmitted as a load profile to power distribution management devices under the control of power distribution and wholesale operators 12a and 12b through a communication network. With respect to the electric power customers 14a and 14b, power demands are predicted at the power distribution management devices. Based on the results of these predictions, power is supplied from the generator to the electric power customers 14a and 14b. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a power trading system and method, and more particularly, to a power trading system and method suitable for supplying power to each power consumer according to a contract from a power distribution management device managed by a power distribution wholesaler.
[0002]
[Prior art]
Conventionally, when supplying electric power to each electric power consumer (electric power consumer), electric power is supplied to each electric power consumer via an electric power system owned by the electric power company. On the other hand, under the new electricity business system, a contract is made between a power distribution wholesaler different from the power generation company (electric power company) and each power consumer, and based on this contract, power from the power generation source is supplied to each power consumer. Can be supplied. In this case, various systems are constructed in order to provide various services from the power distribution wholesaler to each power consumer.
[0003]
For example, as a power trading system that applies history information of power consumption, each power consumer is provided with a means for selecting a charge menu indicated by an electric power company (distribution wholesaler) based on the result of meter reading of an automatic meter meter. A technique has been proposed (see Patent Document 1).
[0004]
In addition, as a technology for providing information on energy saving to each power consumer, for example, the history of power usage is stored, and the comparison result between the history of power usage and the most recent power usage is stored in the power consumer. A technique to be presented has been proposed (see Patent Document 2).
[0005]
In addition, a facility that consumes energy and a production facility that supplies energy are connected via a network, and data related to energy consumed at the consumer facility is imported to the production facility via the network. Based on the data collected at the production facility A technique has been proposed in which an energy usage prediction model is created and an energy purchase plan is created based on the created energy usage prediction model (see Patent Document 3).
[0006]
[Patent Document 1]
JP 2001-194179 A (2nd to 3rd pages, FIG. 1)
[Patent Document 2]
JP 2002-117077 A (2nd to 3rd pages, FIG. 1)
[Patent Document 3]
JP 2002-236724 A (2nd to 4th pages, FIG. 1)
[0007]
[Problems to be solved by the invention]
Under the new electricity business system, there are the following problems when supplying power from each power generation source to each power consumer under the control of a distribution wholesaler.
[0008]
(1) Each electricity consumer (electricity consumer) simply compares the tariff menus presented by multiple distributors and selects the distributor and the tariff menu to purchase the power. Price competitiveness in China and the added value when electricity consumers purchase electricity are lost, and it is difficult to become a pressure to lower the electricity price itself presented by distribution wholesalers.
[0009]
(2) A simple comparison between the history of power consumption and the most recent power consumption cannot cope with changes in the consumption structure of power consumers (increase / decrease in residents, replacement of electrical equipment, increase in purchase, etc.). There may be no energy saving information presented. Also, energy saving information will not be presented until a history of usage is formed.
[0010]
(3) Price competition among distribution wholesalers cannot be promoted simply by creating an energy purchase plan based on the collected data.
[0011]
An object of the present invention is to provide data relating to each power consumer to a device under the control of a power distribution wholesaler, and as a result, promote price competition among power distribution wholesalers and The purpose is to improve the service.
[0012]
[Means for Solving the Problems]
In order to solve the above-described problems, the present invention provides a data collection and analysis device that collects and analyzes data on a plurality of power consumers under the control of a power profiling creator (load profile data creator), and power distribution It is under the control of the wholesale business and has a power distribution management device that manages to distribute the power from the power generation source to each power consumer, and distributes the load status information obtained by the analysis of the data collection and analysis device This is provided to the management device.
[0013]
According to the above-described means, the power profiling creator is an organization independent of the distribution wholesaler, and can provide load status information held by the power profiling creator to a plurality of distribution companies. The power distribution wholesaler can use the provided load state information to formulate an extremely detailed supply and demand plan and provide each electric power consumer with value-added services such as energy saving information. As a result, price competition among distribution wholesalers can be promoted. In addition, according to the demands of power distribution wholesalers who have newly entered into regions where there is no business performance so far, based on the load status information, we can forecast the power demand for regions where there is no business performance, and make initial supply plans. It becomes possible to do.
[0014]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is a schematic configuration diagram of a power trading system showing an embodiment of the present invention. In FIG. 1, in order to supply power from a power generation source to a plurality of power consumers (power consumers), power generators (power companies) 10a and 10b and power distribution wholesalers 12a and 12b serving as power generation sources In the meantime, a power wholesale transaction contract for power purchase and power supply is made. Further, a power transaction contract relating to power supply, power purchase, etc. is made between the power distribution wholesalers 12a, 12b and the power consumers (power consumers) 14a, 14b. When the contract is made, based on the contract, electric power from one of the power generators is supplied to each power consumer 14a, 14b. In this case, when the distribution wholesaler 12a, 12b owns the distribution system, power is supplied to each power consumer 14a, 14b via the distribution system, and the distribution wholesaler 12a, 12b is provided with the distribution facility. When there is not, electric power is supplied to each electric power consumer 14a, 14b via the power distribution system which a power generator owns. In the latter case, the distribution wholesalers 12a and 12b only perform management for distributing the power from the power generation source to each power consumer 14a and 14b according to the contract, and the power supply is directly from the power generation source to each power. It will be performed by the consumers 14a and 14b.
[0015]
Moreover, the power distribution wholesalers 12a and 12b determine the power purchase amount, the power purchase price, the power retail amount, and the power retail price from the total power contract amount of the entire power consumer for the power transaction. In this case, since the power purchase amount has a margin with respect to the estimate of the power retail amount, the power purchase amount is larger than the normal power retail amount. This margin is added as a cost to the electricity retail price.
[0016]
On the other hand, a watt hour meter for measuring the amount of power used by each power consumer 14a, 14b is installed for each power demand unit 16 in the plurality of power consumers 14a, 14b. As shown in FIG. 2, the power demand unit 16 includes power consumption from a main power meter 22 and a power line 24 that measure the total demand power of the power demand unit 16 when two electrical devices 18 and 20 are installed. Are distributed via the main power meter 22 and distributed to the electrical equipment 18 and the electrical equipment 20, respectively, a watt-hour meter 28 for each equipment for measuring the demand power (power consumption) of the electrical equipment 18, and the electricity A device-specific watt-hour meter 30 that measures the power demand (power consumption) of the device 20 is provided. The measured values of the main watt-hour meter 22 and the device-specific watt-hour meters 28 and 30 are transmitted as power consumption data to the data collection and analysis device 32 via a communication network (for example, the Internet).
[0017]
The data collection and analysis device 32 is under the control of a power profiling creator (load profile data creator) that is an organization independent of the distribution wholesalers 12a and 12b, and collects data related to each power consumer 14a and 14b. Analyzing and obtaining a load profile (load state information indicating a load state, for example, load state information indicating a transition of power consumed by the load, etc.) according to a contract with the distribution wholesalers 12a and 12b The data is transmitted to a power distribution management device (not shown) via a communication network (for example, the Internet).
[0018]
Specifically, as shown in FIG. 3, the data collection / analysis apparatus 32 includes databases 34, 36, 38, 40, 42, 44, 46, a load survey data analysis unit 48, a profile analysis unit 50, and a load survey data correction. Section 52, load profile data creation section 54, storage format conversion section 56, and database 58.
[0019]
The database 34 measures the power consumption data when the measured value of the power amount measured for each power demand unit 16 is taken into an interface (not shown) as a data collection means as power consumption data. It is configured as load survey data (load analysis data) storage means for storing as load survey data (load analysis data) in association with the time zone. The load survey data stored in association with each power demand unit 16 is analyzed by the load survey data analysis unit 48. The road survey data analysis unit 48 analyzes road survey data using correction data related to seasonal characteristics stored in the database 36 and correction data related to event characteristics (such as the presence or absence of sports events such as soccer) stored in the database 38. It is supposed to be. When analyzing load survey data, if seasonal characteristics and event characteristics are used as correction data, it is possible to analyze changes in relatively long-term demand trends and short-term demand trends in load survey data. . According to this analysis, when there is a large change (blurring) in the power demand trends of the power consumers 14a and 14b, whether or not the fluctuation factor is an external factor or an internal factor (failure, misuse of equipment, etc.) Can be estimated. For example, when the amount of electric power is abnormally large compared to a normal year, confirmation of device misuse can be made to the electric power consumer. In this case, by analyzing the load survey data, it is possible to perform filtering of variable elements by event characteristics or the like and obtain data with higher accuracy.
[0020]
On the other hand, the database 40 stores characteristic data (feature data) of each power demand unit 16. That is, data related to the power demand of the power consumers 14a, 14b, such as the family structure (occupation, age), address, and housing classification (detached house, collective housing) of the power consumers 14a, 14b, is shown for each power demand unit 16. Stored. The characteristic data stored in the database 40 is analyzed by the profile analysis unit 50. When analyzing the characteristic data in the profile analysis unit 50, the analysis is performed using the home rate characteristic stored in the database 42, the regionality stored in the database 44, and the housing classification characteristics stored in the database 46 as correction data. That is, when analyzing the characteristic data, the average power demand pattern of the power consumer that matches the characteristic data can be obtained by using the at-home rate characteristic, the regional characteristic, and the housing classification characteristic.
[0021]
Here, a definition example of the at-home rate characteristic is shown in FIG. 4, a definition example of the regionality is shown in FIG. 5, and a definition example of the housing category characteristic is shown in FIG. 6. As shown in FIG. 4, the at-home rate characteristics are patterned as “three families”, “couple working together”, “couple / student”, and “one student”. As for the locality, as shown in FIG. 5, data on the temperature and humidity of each district is stored in association with the date and time, weather, etc., as in each district A, B, C. In addition, as shown in FIG. 6, the housing division characteristics are patterned as “wooden”, “rebar”, “steel frame” for detached houses and apartment houses.
[0022]
When the profile analysis unit 50 analyzes the characteristic data according to the housing rate characteristics, the regional characteristics, and the housing classification characteristics, how much the power demand tendency of each power consumer 14a, 14b deviates from the average power demand pattern. The amount of displacement becomes clear. For example, it can be seen that the power consumption trend of a couple working together with no children is concentrated in the morning and night, and the amount of power consumption in the daytime is small. It can be used as a risk.
[0023]
The analysis result of the profile analysis unit 50 is transferred to the load survey data correction unit 52 together with the analysis result of the load survey data analysis unit 48. In the load survey data correction unit 52, the load survey data obtained by the analysis of the load survey data analysis unit 48 is corrected according to the analysis result obtained by the analysis of the profile analysis unit 50, and the corrected load survey data is obtained. The data is output to the load profile data creation unit 54. The load profile data creation unit 54 creates load profile data (data indicating the state of the load, for example, data indicating the transition of power consumed by the load, etc.) based on the data from the load survey data correction unit 52, The created load profile data is output to the storage format conversion unit 56, and after the load profile data is converted into a specified format, it is stored in the database 58 as a load profile. That is, the load survey data analysis unit 48, the profile analysis unit 50, the load survey data correction unit 52, the load profile data creation unit 54, and the storage format conversion unit 56 convert the survey data of each power demand unit 16 to each power demand unit 16. Load profile data is created in accordance with the characteristic data, and the created load profile data is converted into a load profile.
[0024]
Next, an example of a load profile will be described with reference to FIGS. FIG. 7A shows an example of the load profile 100 using only the power consumption data for each power demand unit 16. The load profile 100 includes a measurement value of the main watt-hour meter 22 at each time (time zone), a region code, an event correction, and a demand pattern. The region code “1” is an identifier indicating a physical position of the power demand unit, and the event correction is an extent to which an event that affects the power demand, for example, a sports event affects the power demand unit. Estimated value. For example, when there is no event, the event correction is “0”, but when there is a sporting event such as soccer, the power demand increases during that time zone, so a large numerical value is used as the event correction value. The demand pattern 102 is set in association with characteristic data (feature data) such as midnight 1, midnight 2, midnight 3... As shown in FIG. In this case, the insertion of “◯” into the midnight activity indicates that, for example, the air conditioner is turned on at midnight. In addition, “◯” in plural at midnight indicates that two air conditioners are turned on at midnight. In addition, “◯” in late-night cooking indicates that the cooking device is turned on at midnight. In the demand pattern 102, from the characteristic data, “midnight 1” is applied to “students living alone”, “midnight 2” is applied to “family of 3 or more”, and “midnight 3” is Is applied. The load profile 100 is generated in association with the physical position 104 of the power demand unit 16, as shown in FIG. Information relating to the distribution map 106 is stored in the position 104, and the schematic position 108 of the power demand unit 16 is shown in the distribution map 106.
[0025]
On the other hand, the load profile 110 shown in FIG. 8A shows an example of a load profile including electric devices belonging to the power demand unit 16. That is, the load profile 110 is configured from the measurement value of the main watt hour meter 22 at each time (time zone), the air conditioner 1, the air conditioner 2, the cooking device, the water heater, the region code, and the demand pattern. Here, the measured value of the main power meter 22 indicates the total power amount of the air conditioner 1, the air conditioner 2, the cooking device, and the water heater. Further, the electric energy “5” in the air conditioner 1 and the air conditioner 2 indicates the electric energy when the air conditioners 1 and 2 are off. As shown in FIG. 8B, the demand pattern 112 is divided into midnight 0, midnight 1, midnight 2, midnight 3..., And each pattern is set according to characteristic data (feature data). Has been. The load profile 110 is generated in association with the physical position 114 of the power demand unit 16 as shown in FIG. Information relating to the distribution map 116 is stored in the position 114, and the approximate position 118 of the power demand unit 16 is shown on the distribution map 116.
[0026]
Next, an example of a money flow and a service flow among the power distribution wholesaler 12a, the power profiling creator 32a, the power generator 10a, and the power consumer 14a will be described with reference to FIG. When the power profile is created by the power profiling creator 32a, the power distribution wholesaler 12a concludes a road profile purchase contract with the power profiling creator 32a when making a business plan. Thereby, the power distribution wholesaler 12a uses the road profile created by the power profiling creator 32a to make a power demand prediction in the business area, and based on the prediction result, the power producer 10a and the power consumer Sign a power supply contract with 14a. For new power supply, the power profiling creator 32a provides the updated load profile to the distribution wholesaler 12a. Thereby, the power distribution wholesaler 12a can perform power demand prediction in the business area according to the updated load profile.
[0027]
Next, a flow when the power distribution wholesaler 12a develops a new business area will be described with reference to FIG. In planning a new demand forecast, the power distribution wholesaler 12a concludes a road profile purchase contract for the region with the power profiling creator 32a. The power distribution wholesaler 12a uses the load profile (data) in the new business area to predict power demand in the new business area, determines the power retail price and the like based on the prediction result, and then belongs to the new business area. An electricity retail charge is notified to the electricity consumer 14a. Subsequently, a power supply contract is concluded with the electric power consumer 14a and the power generation company 10a in the same region. Then, regarding the new power supply, the power profiling creator 32a provides the updated load profile to the distribution wholesaler 12a, so that the distribution wholesaler 12a can use the updated load profile to generate power demand in the new business area. Predictions can be made.
[0028]
When the data collection / analysis device 32 collects the power consumption data, the measurement values of the watt-hour meters 28 and 30 for each device can be collected for each power demand unit 16 as the power consumption data for each electric device.
[0029]
Further, when creating the load profile data in the data collection / analysis apparatus 32, data relating to the device type and rated power consumption of the electrical equipment can be used as the characteristic data of each power demand unit 16. Further, when the load profile data is created, the load profile data is created in association with the power consumption pattern for each device defined in advance by the power profiling creator 32a, or the region code and the customer type defined in advance by the power profiling creator 32a. The code and the power consumption data can also be created in association with the power consumption pattern code indicating the time change of the data.
[0030]
When the distribution management device or the data collection / analysis device 32 is provided with a function as a power demand prediction means, the region code and the customer type code used to create the load profile data and the census of the distribution wholesaler in the sales target region It is also possible to predict the power demand in the business area based on the household composition information. In this case, the power demand prediction means may be added with a function for mapping the prediction result of the power demand related to the business target area for each distribution line on the map including the business target area of the distribution wholesaler.
[0031]
Further, when providing information to each power consumer from the distribution wholesaler, the specified power according to the load profile (load state information) received from the data collection and analysis device 32 in the distribution management device under the management of the distribution wholesaler. Energy saving information relating to a consumer (a power consumer defined in advance by the power profiling creator 32) is generated, and the generated energy saving information is transmitted to a specified power consumer via a communication network, or from the data collection and analysis device 32 According to the received load profile (load state information), information on how to use electricity in a specified power consumer can be generated, and the generated information on how to use electricity can be transmitted to a specified power consumer via a communication network. .
[0032]
According to this embodiment, the distribution wholesaler uses the load profile, so that the accuracy of power demand prediction is improved and entry into a new business area is facilitated. Therefore, it is possible to reduce costs, promote price competition among distribution wholesalers, and contribute to lower power retail prices.
[0033]
In addition, by utilizing the load profile and the characteristic data of the power consumer, it is possible to present energy saving information to the power consumer according to the change in the consumption structure of the power consumer and the history of usage. It is possible to provide high value-added services.
[0034]
【The invention's effect】
As described above, according to the present invention, it is possible to promote price competition among distribution wholesalers and improve services for each power consumer.
[Brief description of the drawings]
FIG. 1 is a schematic configuration diagram of a power trading system showing an embodiment of the present invention.
FIG. 2 is a configuration diagram of a power demand unit.
FIG. 3 is a block configuration diagram of a data collection and analysis apparatus.
FIG. 4 is a diagram for explaining a data structure of a home rate characteristic.
FIG. 5 is a diagram for explaining a regional data configuration;
FIG. 6 is a diagram for explaining a data structure of housing classification characteristics.
FIG. 7 is an explanatory diagram of a configuration of a load profile.
FIG. 8 is a diagram illustrating the configuration of another load profile.
FIG. 9 is a diagram for explaining contract and service processing in the present invention;
FIG. 10 is a diagram for explaining another process of a contract and a service according to the present invention.
[Explanation of symbols]
10a, 10b Electricity producers 12a, 12b Distribution wholesalers 14a, 14b Electricity consumers 22 Main electricity meters 28, 30 Electric energy meters 32 by equipment Data collection and analysis devices 34, 36, 38, 40, 42, 44, 46 Database 48 Load survey data analysis unit 50 Profile analysis unit 52 Load survey data correction unit 54 Load profile data creation unit 56 Storage format conversion unit 58 Database

Claims (16)

A data collection and analysis device that collects and analyzes data relating to a plurality of power consumers; and a power distribution management device that performs management for distributing power from a power generation source to each of the power consumers. A power trading system that receives load state information obtained by analysis of the data collection and analysis device. The power transaction system according to claim 1, wherein the data collection and analysis device uses, as power consumption data, measured values of a plurality of watt-hour meters that measure the amount of power used by each power consumer for each power demand unit. A data collection means for capturing; load survey data storage means for storing each power consumption data collected by the data collection means as load survey data in association with a measurement time zone; and load survey data for each power demand unit. A power trading system comprising load state information creating means for analyzing and generating load state data according to the characteristic data of each power demand unit, converting the created load state data into load state information and outputting the load state data. 3. The power trading system according to claim 2, wherein the data collection means measures a plurality of watt-hour meters for each device that measures the amount of power used by each power consumer separately for each electrical device belonging to a power demand unit. A power trading system, wherein values are collected as power consumption data for individual electrical devices. 4. The power transaction system according to claim 3, wherein the load state information creating means uses data relating to a device type and rated power consumption of each electric device as the characteristic data of each power demand unit. Power trading system. The power transaction system according to claim 4, wherein the load state information creating means analyzes the load survey data of each power demand unit according to the characteristic data of each power demand unit and creates load state data. A power trading system, wherein the load state data is created in association with a predefined power consumption pattern for each device. The power transaction system according to any one of claims 2, 3, 4, or 5, wherein the load state information creating means includes, as characteristic data of each power demand unit, a family configuration of each power consumer, An electric power transaction system characterized by using an address and a residence classification. The power transaction system according to any one of claims 2, 3, 4, 5 and 6, wherein the load state information creating means uses the load survey data of each power demand unit as a characteristic of each power demand unit. When generating load state data by analyzing according to the data, the load state data is created in association with a predefined region code, customer type code, and power consumption pattern code indicating a time change of power consumption data. A power trading system characterized by 8. The power transaction system according to claim 7, wherein the load state information creating means includes the occupation / age belonging to the family structure of each power consumer in the characteristic data of each power demand unit and the residence of each power consumer. An electric power transaction system, wherein the customer type code is selected using a classification. The power trading system according to claim 7 or 8, based on the region code and customer type code used to create the load state data, and the household composition information of the national census in the business area of the distribution wholesaler. A power trading system comprising power demand forecasting means for forecasting power demand in the business target area. 10. The power trading system according to claim 9, wherein the power demand prediction unit maps a prediction result of power demand related to the business target area on a map including the business target area of the distribution wholesaler for each distribution line. A power trading system characterized by The power trading system according to any one of claims 1 to 10, wherein the power distribution management device generates and generates energy saving information related to a specified power consumer according to load state information received from the data collection and analysis device. A power trading system in which the energy saving information is transmitted to the designated power consumer via a communication network. The power transaction system according to any one of claims 1 to 11, wherein the power distribution management device includes information on how to use electricity in the designated power consumer according to load state information received from the data collection and analysis device. A power trading system comprising: generating and transmitting information on how to use the generated electricity to the designated power consumer via the communication network. Information is exchanged between a data collection and analysis device that collects and analyzes data related to a plurality of power consumers, and a power distribution management device that performs management for distributing power from the power generation source to each power consumer. At this time, the power distribution management device receives load state information obtained by the analysis of the data collection and analysis device. 14. The power transaction method according to claim 13, wherein the data collection and analysis device uses, as power consumption data, measured values of a plurality of watt-hour meters that measure the amount of power used by each power consumer for each power demand unit. Collecting the collected power consumption data in association with the measurement time zone and storing it as load survey data, and analyzing the stored load survey data according to the characteristic data of each power demand unit to obtain load state data , Converting the created load status data into load status information, and transmitting the converted load status information to the power distribution management device via a communication network. 15. The power trading method according to claim 13 or 14, wherein the power distribution management device generates energy saving information related to a specified power consumer according to the load state information received from the data collection and analysis device, and the generated energy saving information is transmitted to a communication network. An electric power transaction method characterized by transmitting to the designated electric power consumer via a network. The power transaction method according to any one of claims 13, 14 and 15, wherein the power distribution management device relates to usage of electricity in the designated power consumer according to the load state information received from the data collection and analysis device. A power trading method characterized by generating information and transmitting the generated information on how to use electricity to the designated power consumer via a communication network.

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