KR102001021B1 - Method for transaction of distributed resource based in Stochastic Bidding Participation - Google Patents

Method for transaction of distributed resource based in Stochastic Bidding Participation Download PDF

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KR102001021B1
KR102001021B1 KR1020150157634A KR20150157634A KR102001021B1 KR 102001021 B1 KR102001021 B1 KR 102001021B1 KR 1020150157634 A KR1020150157634 A KR 1020150157634A KR 20150157634 A KR20150157634 A KR 20150157634A KR 102001021 B1 KR102001021 B1 KR 102001021B1
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distributed
bid
customer
resource
resources
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KR20160065739A (en
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유윤식
이일우
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한국전자통신연구원
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/08Auctions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Abstract

In an embodiment of the present invention, a method of directly trading a distributed resource based on probabilistic bid participation includes: monitoring whether a distributed resource is registered; Providing incentives to customers who have registered the distributed resources; Publishing the distributed resources to a direct transaction server; Performing bidding on the published distributed resources; And it may include the step of completing a transaction for the distributed resources won through the bid.

Description

Method for transaction of distributed resource based in Stochastic Bidding Participation}

The present invention relates to a direct trading method of distributed resources based on probabilistic bidding, and more particularly, to a distributed resource direct trading management technique based on a probabilistic bidding / trading model.

The existing decentralized distributed resources are connected to grids that are constructed regionally for energy trading, and the Regional Transmission Organization (RTO) manages the energy trading. Generally, distributed resources are used in the form of power generation facilities for regionally independent power generation and energy supply and used as a main energy source in an emergency.

However, in the conventional distributed resource management technology, there is a problem that there is a limit in the degree of freedom of energy trading, which is concentrated in a top-level system that manages transactions hierarchically rather than a structure capable of performing peer-based energy trading. In particular, it is not a structure in which energy is traded through direct transactions in adjacent areas with heterogeneous distributed resources and numerous distributed resources installed in a large area. . As a result, they face the limitations of efficient trade in distributed resources and energy supply / demand. Therefore, by establishing a direct trading system of distributed resources between neighboring regions, energy production, consumption, storage, and trade can be flexibly managed, and not only energy management of distributed resources can be used to use energy at an immediate and economic cost, There is a need to provide a method and system for utilizing energy assets based on probabilistic bid participation models for trading.

Patent Publication KR 2014-0076037

An embodiment of the present invention is to provide a direct trading method of distributed resources based on probabilistic bidding participation that can register a distributed resource as an asset and use the registered energy asset between adjacent regions flexibly and economically according to the direct trading system.

Specifically, the energy surplus acquires energy incentives through direct transactions, and the energy vulnerable pays economical energy costs and utilizes distributed resources as energy sources through probabilistic bidding according to the distributed resource profile. .

Technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following descriptions.

In an embodiment of the present invention, a method of directly trading a distributed resource based on probabilistic bid participation includes: monitoring whether a distributed resource is registered; Providing incentives to customers who have registered the distributed resources; Publishing the distributed resources to a direct transaction server; Performing bidding on the published distributed resources; And it may include the step of completing a transaction for the distributed resources won through the bid.

This technology registers distributed resources as assets, allowing energy resources registered between adjacent regions to be used flexibly and economically according to the direct trading system.

Specifically, the energy surplus acquires energy incentives through direct transactions, and the energy vulnerable can pay economic energy costs and use the distributed resources as energy sources through probabilistic bidding participation according to the distributed resource profile.

1 is a block diagram of an energy asset management system for distributed resource direct trading according to an embodiment of the present invention.
2 is a detailed block diagram of a distributed resource direct trading server according to an embodiment of the present invention.
3 is a flowchart illustrating a method for managing energy assets and probabilistic bids for distributed resource direct trading according to an embodiment of the present invention.
4 is a flowchart illustrating an asset management of a distributed resource and a bid management mechanism based on a probabilistic model according to an embodiment of the present invention.
5A is a diagram illustrating a probabilistic bid participation model of a customer for direct trading of a first distributed resource according to an embodiment of the present invention.
FIG. 5B is a diagram illustrating a probabilistic bid participation model of a customer for direct transactions of a second distributed resource according to an embodiment of the present invention.
FIG. 5C is a diagram illustrating a probabilistic bid participation model of a customer for direct transactions of third distributed resources according to an embodiment of the present invention.
FIG. 5D is a diagram illustrating a probabilistic bid participation model of a customer for direct transactions of a fourth distributed resource according to an embodiment of the present invention. FIG.
6 is a graph illustrating an approximation method of bid scheduling of a customer participating in a distributed resource market according to an embodiment of the present invention.
7 is a block diagram of a computer system to which the asset management and probabilistic bid participation method of distributed resources for direct transactions according to an embodiment of the present invention is applied.

Hereinafter, some embodiments of the present invention will be described in detail through exemplary drawings. In adding reference numerals to the components of each drawing, it should be noted that the same reference numerals are assigned to the same components as much as possible even though they are shown in different drawings. In addition, in describing the embodiments of the present invention, if it is determined that the detailed description of the related well-known configuration or function interferes with the understanding of the embodiments of the present invention, the detailed description thereof will be omitted.

In describing the components of the embodiments of the present invention, terms such as first, second, A, B, (a), and (b) may be used. These terms are only for distinguishing the components from other components, and the nature, order or order of the components are not limited by the terms. In addition, unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art. Terms such as those defined in the commonly used dictionaries should be construed as having meanings consistent with the meanings in the context of the related art, and shall not be construed in ideal or excessively formal meanings unless expressly defined in this application. Do not.

The present invention periodically monitors distributed resources to check whether new distributed resources are registered, and provides incentives to customers who have registered distributed resources. In addition, energy assets, which are registered distributed resources, are posted on a direct trading server, and energy vulnerable persons who have confirmed the announced energy products participate in bidding to obtain energy products. Energy vulnerable participants in the tender bidding on the basis of the stochastic bidding model, when the diversified resources are won, the energy trade is successful. In addition, distributed resource direct sales servers and clients manage the status of power generation and storage resources based on distributed resources distributed in the immediate vicinity of customers, and provide optimal energy transaction costs to provide energy to customers in a stable and economical manner. Disclosed is a method for direct trading.

Hereinafter, embodiments of the present invention will be described in detail with reference to FIGS. 1 to 7.

1 is a block diagram of an energy asset management system for distributed resource direct trading according to an embodiment of the present invention.

Referring to FIG. 1, in the energy asset management system for distributed resource direct trading according to an embodiment of the present invention, distributed resources are managed as energy assets to perform distributed resource direct trade between adjacent regions.

An energy asset management system for distributed resource direct trading according to an embodiment of the present invention includes a distributed resource direct trading server 100, a distributed resource direct trading server 100, and a plurality of resource direct trading clients 200 connected through an internet network. It is composed of a plurality of distributed resources 300 connected to the resource direct trading client 200, the customer 400 using the distributed resources, and a physical independent grid capable of transmitting or receiving energy of each distributed resource. .

The distributed resource direct trade server 100 manages a transaction so that a distributed resource direct trade is made so that energy can be traded between an energy surplus and an energy vulnerable at an economical operating cost. To this end, when the distributed resource direct trade server 100 receives a request for the distributed resource disclosure from the resource direct trade client 200, the distributed resource direct disclosure server may disclose the distributed resource so that the customers may know the registered distributed resource and allow the consumers to bid. When the customers participate in the bid, the distributed resource direct transaction server 100 calculates a bid gaze probability to determine whether the bid is successful and notifies the successful bid to the successful bidder. In addition, the distributed resource direct trading server 100 periodically monitors the status of successful distributed resources to update status information and manage profiles and history of registered distributed resources.

The resource direct trading client 200 may manage the assets by registering distributed resources of customers as energy assets in each adjacent area or complex. When the resource direct trading client 200 receives a request for registration of distributed resources from a customer, the resource direct trading client 200 analyzes and registers the availability of the distributed resources, and requests the disclosure to the distributed resource direct trading server 100.

The plurality of distributed resources 300 are owned by the consumer or are held locally or only in units.

The customer 400 refers to a house, a factory, a building, etc., which require electric power.

As described above, the energy asset management system for distributed resource direct trade of the present invention enables the distributed resource direct trade to be made at economic cost by registering energy assets between regions.

2 is a block diagram of a distributed resource direct transaction server 100 according to an embodiment of the present invention.

The distributed resource direct trading server 100 includes an available distributed resource disclosure unit 110, a bid gaze probability calculation unit 120, a registered resource profile manager 130, and a distributed resource transaction history manager 140.

When the available distributed resource disclosure unit 110 receives a request for disclosure of a registered distributed resource from the resource direct trading client 200, the available distributed resource disclosure unit 110 publishes the disclosure in the energy market.

When the bid gaze probability calculation unit 120 receives a bid from the customer 400, divides the inactive points by the number of bid accesses, calculates a successful bid probability and determines whether the successful bid probability is greater than the average successful bid probability of all the distributed resources. Determine whether or not.

The registered resource profile manager 130 stores and manages a profile (state) of registered distributed resources.

The distributed resource transaction history management unit 140 stores and manages a history such as successful bid and response of registered distributed resources.

Hereinafter, an energy asset management and probabilistic bid management method for distributed resource direct trading according to an embodiment of the present invention will be described in detail with reference to FIG. 3.

First, when the direct resource client 201 receives a request for registration of distributed resources from the customer 401 (S101), the distributed resource status monitoring is periodically performed (S102). That is, the resource direct trading client 201 periodically performs distributed resource status monitoring on the distributed resource that is requested to be registered from the customer 401.

The direct resource client 201 receives the state information of the distributed resource from the corresponding distributed resource 301 (S103), analyzes and registers the availability of the distributed resource 301 using the state information of the distributed resource (S104).

Thereafter, the resource direct trade client 201 requests to publish the distributed resource registered as the distributed resource direct trade server 100 to the energy market (S104).

Similarly, when another resource direct seller client 200m is requested to register a distributed resource from the customer 400m (S106), it performs periodic distributed resource status monitoring (S107) and receives the state information of the distributed resource from the distributed resource 300m. It receives the transmission (S108), analyzes and registers the availability of the distributed resource 300m using the state information of the distributed resource (S109), and requests the distributed resource registered with the distributed resource direct trade server 100 to the energy market. (S1`10).

That is, all resource direct trading clients 201, ..., 200m may each perform the processes of steps S101 to S105 described above.

Accordingly, the distributed resource direct trading server 100 announces the registered distributed resource in the energy market (S111), and prepares a bid for a customer who needs the distributed resource.

Accordingly, when the low-energy customers (401, 400m) of the customers (401, ..., 400m) participate in the distributed resource bidding (S112, S113), distributed resource direct trading server 100 calculates the bid gaze probability ( S114).

Thereafter, the distributed resource direct trading server 100 determines the distributed resource bidding based on the bid gaze probability model for each customer, and notifies the successful bidder 401 to the successful bidder 401 by participating in the bidding (S115).

At this time, the customer (401) who has received the registered distributed resource pays a successful bid cost and incentive to the customer (400m) who owns the distributed distributed resource (S116), and the distributed resource (300m) for use of the distributed distributed resource. Perform the connection for use in step (S117).

The distributed resource 300m provides the energy of the distributed resource to the requested customer 401 (S118). At this time, the distributed resources may be connected to a grid independent of the consumer to provide energy.

Thereafter, the distributed resource direct trade server 100 periodically monitors the latest state of the used distributed resource 300m by the distributed resource direct trade server, and updates the latest state (S119). The profile of the updated distributed resource is re-registered (S120), and the transaction history of the distributed resource is updated and managed (S121).

Hereinafter, with reference to FIG. 4, the asset management of the distributed resources and the bid management mechanism based on the probabilistic model according to an embodiment of the present invention will be described in detail.

The resource direct trading client 201 periodically monitors whether there is a registration request for distributed resources (S201).

When the resource direct trading client 201 receives an asset registration request from the customer 401,..., 400m in order to utilize the distributed resource, the client directly determines whether the distributed resource can be registered (S202).

If the distributed resource can be registered, the direct resource client 201 accepts the asset registration of the distributed resource

The resource direct trade client 201 checks whether a distributed resource is available, manages a profile of the distributed resource, and distributes the distributed resource disclosure of the registered distributed resource based on the distributed resource profile. Request (S203).

Accordingly, the distributed resource direct trading server 100 announces the distributed resources registered from the distributed resource direct trading client and prepares a bid from a customer who is an energy vulnerable (S204). Among the distributed resources disclosed, resource information such as generation amount, duration of development, and stability of development of various distributed demand resources that can supply energy can be provided to customers so that they can bid. Consumers attempting to bid on distributed resources will purchase distributed resources in the form of a direct transaction, in which the price of the distributed resources is considered in consideration of the history of previously purchased distributed resources, related incentive points, and the number of bid accesses. Incentives and winning bids will be determined.

In other words, the distributed resource direct trading server 100 divides the incentive point by the number of bid accesses, calculates the probability of successful bidding, determines whether the successful bidability is higher than the average successful bid price of all the consumers, and determines that the successful bid is successful.

In response to the bidding, the customer who has won the distributed resource pays a successful bid price to the customer who has provided and registered the distributed resource, and provides related incentives (S205).

Subsequently, the successful bidding customer who has obtained the authority of using distributed resources receives energy from the distributed resources, and uses the required amount of energy (S206). The distributed resource direct trade server 100 updates the current profile state information of the distributed resource that provides the energy, and subsequently re-announces it to a customer who needs the distributed resource (S207). In addition, the distributed resource direct transaction server 100 manages the distributed transaction history for the distributed resource direct transaction details.

5A to 5D are diagrams illustrating a probabilistic bid participation model of a customer for direct transactions of distributed resources according to an embodiment of the present invention.

5A to 5D, a model of probabilistic bid participation of a customer for direct transactions of distributed resources registered as assets according to the present invention is shown. There are a variety of incidents in which consumers are participating in distributed resource bids to the energy market. For distributed resource direct trading, various distributed resources, such as renewable energy (solar, wind, etc.), cogeneration, emergency generators, and energy storage devices may be built in or near buildings.

In order to use these adjacent distributed resources, an event in which a consumer attempts to bid occurs. Where the probability mass function of each consumer, X

Figure 112015109528724-pat00001
X can be defined as a Poisson random variable. here
Figure 112015109528724-pat00002
to be.

The occurrence of an event of interest in describing the Poisson random variable is called arrival, and the concept of arrival is the consumer's access to the energy market for bidding. Average rate of arrival per second in the Poisson model

Figure 112015109528724-pat00003
And time interval
Figure 112015109528724-pat00004
Specifies seconds. Number of arrivals during this time interval
Figure 112015109528724-pat00005
Is
Figure 112015109528724-pat00006
Has a Poisson probability mass function.

6 is a graph illustrating an approximation method of bid scheduling of a customer participating in a distributed resource market according to an embodiment of the present invention. As shown in FIG. 6, the cumulative distribution function of the random variable X

Figure 112015109528724-pat00007
Can be defined as That is, the cumulative distribution function for any real number x indicates the probability that the random variable X not greater than x. Therefore, all
Figure 112015109528724-pat00008
about
Figure 112015109528724-pat00009
Is established. The cumulative distribution function of each distributed resource can be expressed by Equation 1 below.

Figure 112015109528724-pat00010

The expected value of the random variable X , which is the bidding participant, can be derived. In other words, the sum of the measured values is divided by the number of terms, so the notation for the expected value of the random variable X is

Figure 112015109528724-pat00011
or
Figure 112015109528724-pat00012
You can do Therefore, the expected value of X is
Figure 112015109528724-pat00013
It is defined as After the expected value for a Poisson random variable X is
Figure 112015109528724-pat00014
Becomes Therefore, the expected value for accessing each bidder's energy market is shown in Equation 2 below.

Figure 112015109528724-pat00015

As shown in FIG. 6, the most recently announced distributed resource is prepared in the section [a, b] in consideration of the characteristics of a bidding participant, and an energy disclosure profile is provided for distributed resources registered as assets through distributed resource direct trading. The bidding authority should be given priority to the customers who participated in the bidding.

In this case, when there are a plurality of bidders in the [a, b] section, priority is given to the participant who has fewer bid accesses and a higher incentive point. If bidding participants are alone in [a, b] and [e, f] sections, single bidding is possible. If there are no bidders in [b, e] sections, [b, e] sections are included. If there are a plurality of bidders in the section [c, d], the priority is given to the participants who have fewer bid accesses and higher incentive points. In other words, the consumer who has been given the highest priority among the bidders can economically bid the adjacent distributed resources in the distributed resource direct trade bidding.

As described above, the present invention registers distributed resources for direct distribution of distributed resources and discloses registered registered distributed resources, thereby granting energy use priority rights to bidders for securing the disclosed distributed resources, thereby enabling economical distribution of resources. Direct deals can be provided.

7 is a block diagram of a computer system to which the asset management and probabilistic bidding participation method of distributed resources for a direct transaction according to an embodiment of the present invention are applied.

Referring to FIG. 7, the computing system 1000 may include at least one processor 1100, a memory 1300, a user interface input device 1400, a user interface output device 1500, and storage connected through a bus 1200. 1600, and network interface 1700.

The processor 1100 may be a central processing unit (CPU) or a semiconductor device that executes processing for instructions stored in the memory 1300 and / or the storage 1600. The memory 1300 and the storage 1600 may include various types of volatile or nonvolatile storage media. For example, the memory 1300 may include a read only memory (ROM) and a random access memory (RAM).

Thus, the steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, software module, or a combination of the two executed by the processor 1100. The software module resides in a storage medium (ie, memory 1300 and / or storage 1600), such as RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs. You may.

An exemplary storage medium is coupled to the processor 1100, which can read information from and write information to the storage medium. In the alternative, the storage medium may be integral to the processor 1100. The processor and the storage medium may reside in an application specific integrated circuit (ASIC). The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.

The above description is merely illustrative of the technical idea of the present invention, and those skilled in the art to which the present invention pertains may make various modifications and changes without departing from the essential characteristics of the present invention.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical idea of the present invention but to describe the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The protection scope of the present invention should be interpreted by the following claims, and all technical ideas within the equivalent scope should be interpreted as being included in the scope of the present invention.

100: virtual distributed resource management server
200: resource collector
300: distributed resources
400: virtual distributed resource application server
110: available distributed resource disclosure unit
120: bid gaze probability calculation unit
130: subscription resource profile management unit
140: distributed resource transaction history management unit

Claims (10)

In the distributed resource direct transaction method using a distributed resource direct transaction server and a resource direct transaction client,
Steps to monitor if distributed resources are registered:
Providing incentives to customers who have registered the distributed resources;
Publishing the distributed resources to a direct transaction server;
Performing bidding on the published distributed resources; And
Completing a transaction for the distributed resource that was won through the bidding
Including,
Providing the incentive
Using the expected value for the Poisson random variable based on the bid gaze probability model for each customer to derive the expected value that the customer tries to bid,
The Poisson random variable is defined using the number of times the customer accesses the direct trading server and the time interval in the bidding probability model for each customer, and the cumulative distribution function is defined for each type of the distributed resources for the Poisson random variable. And using the cumulative distribution function to derive an expected value at which the customer tries to bid.
The method according to claim 1,
Providing the incentive
The distributed resource directing method is determined based on a bidding probability model for each customer, and the successful bidder is notified of the successful bidder by participating in the bidding.
delete The method according to claim 2,
The disclosure step
And providing resource information of distributed demand resources capable of supplying energy among the published distributed resources to the customer.
The method according to claim 2,
Performing the bidding is
Direct transaction of distributed resources, characterized in that the customer determines the price, incentives and successful bids of distributed resources in consideration of the history (History) previously purchased distributed resources, incentive points associated with the distributed resource purchase, the number of bid access Way.
The method according to claim 5,
Performing the bidding is
And dividing the incentive point of the customer by the number of bid accesses to calculate a successful bid probability, and when the successful bid probability is higher than the average successful bid price of all the consumers, bid the customer.
The method according to claim 6,
Performing the bidding is
In consideration of the characteristics of the customers participating in the bidding, the distributed resources most recently published in the first section are prepared, and the distributed resources registered as assets through the direct distribution of the distributed resources are extracted from the energy disclosure profile to participate in the bidding. The direct transaction method of distributed resources, characterized in that the bidding power to give priority to the customer.
The method according to claim 7,
Performing the bidding is
When there are a plurality of customers participating in the bidding in the first section, the direct transaction method of the distributed resources, characterized in that the priority is given to the customer with a small number of bid access, high incentive points.
The method according to claim 2,
The step of completing
A method for direct distribution of distributed resources, characterized by updating the current profile state information of distributed resources that provided energy and subsequently re-announced the required distribution resources to consumers.
An available distributed resource disclosure unit for publishing the requested distributed resources;
A bid gaze probability calculator configured to calculate a bid probability of the distributed resource;
A registered resource profile manager for managing a profile of the distributed resource; And
A distributed resource transaction history manager for managing a history of the distributed resources;
Including,
The bid gaze probability calculation unit
Using the expected value for the Poisson random variable based on the bid gaze probability model for each customer, derives the expected value that the customer tries to bid,
In the bid gaze probability model for each customer, the Poisson random variable is defined using the number of times the customer accesses the direct transaction server and the time interval, and the cumulative distribution function is defined for each type of the distributed resources for the Poisson random variable. Distributed resource direct trading server, characterized in that by using the cumulative distribution function to derive the expected value that the customer tries to bid.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006280154A (en) * 2005-03-30 2006-10-12 Tokyo Electric Power Co Inc:The Dispersion power control system
JP2014127107A (en) * 2012-12-27 2014-07-07 Toshiba Corp Electricity trading system, and service system provided with market

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20100083540A (en) * 2009-01-14 2010-07-22 (주)테일러테크놀로지 Method and system for brokering transaction for preorder goods
KR101711219B1 (en) * 2011-12-27 2017-03-02 한국전자통신연구원 Apparatus, system and method of time synchronization based automated electric poweer trading for real tiem pricing
KR20140076037A (en) 2012-12-12 2014-06-20 한국전자통신연구원 Demand-side distributed power generation integrated energy management

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006280154A (en) * 2005-03-30 2006-10-12 Tokyo Electric Power Co Inc:The Dispersion power control system
JP2014127107A (en) * 2012-12-27 2014-07-07 Toshiba Corp Electricity trading system, and service system provided with market

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