KR101818846B1 - Method of Selecting and Configuring Optimal Distributed Resource for Economy DR Bidding of Demand Response Customer - Google Patents

Abstract

Economics of Demand Management Operators A method for selecting and configuring optimal distributed resources for DR bidding is provided. According to an embodiment of the present invention, there is provided a method for selecting and configuring optimal distributed resources, the method comprising: evaluating distributed resources based on data on distributed resources, calculating a score, determining a priority of distributed resources based on the calculated score, Based on the priority, some of the distributed resources are selected as distributed resources for DR bidding. Thus, it is possible to contribute to the profitability and reliability of the demand management company through the optimal resource filtering based distributed resource selection and configuration method for minimizing the cost and maximizing the reliability.

Description

METHOD FOR SELECTING AND CONFIGURING OPTIMAL DISTRIBUTED RESOURCES FOR DR BIDING FIELD OF THE INVENTION [0001]

The present invention relates to the field of energy-IT, and more particularly to a power management system in which a demand management provider securing a variety of distributed energy resources such as emergency power generation, commercial power generation, energy storage device, Which is one of the economical DR (Demand Response) market.

There are two main types of DR market in which demand management companies gather the amount of power reduction of customers and sell them in the electric power market. One is reliability DR, which utilizes demand resources instead of operating the power plant with an instruction to supply electricity one hour before an electricity supply and demand emergency, and the other is economic DR that bids the previous day like a power generation company.

In the case of governing DR, bidding shall be conducted from 1:00 to 24:00 on weekdays. Capacity for reduction of demand response resources by trading hours should be 1MWh or more, and minimum reduction duration should be at least 1 hour. In addition, irrespective of the mandatory reduction capacity to be imposed during the real-time dispatching instruction, the demand management company must present the reducible capacity and the minimum reduction duration by trading hours that can be reduced on the trading day.

Unlike demand management companies that bidders with economical efficiency DR as a resource made up only as a load, in the case of a demand management company that bids economic DR with resources composed of various energy sources such as emergency power generation, commercial power generation, energy storage device and load, There is a difficulty in securing both possibility and reliability.

In order to secure bidding possibility and profitability, it is necessary to minimize the cost incurred during resource interaction. In terms of reliability, it is the most important to secure reliable resources because the bidding limit is more than three times when the average rate of implementation of trading days is less than 70%. Therefore, from the system point of view, , It is very important to select and filter the optimal resources based on the evaluation data. As a result, it is necessary to propose cost-effective DR bidding through optimal resource composition satisfying both profitability, biddability and reliability.

Therefore, it is required to find a way to support selection and configuration of optimal distributed resources so that demand management companies can satisfy profitability, bidding possibility and reliability at the time of bidding for economic DR.

SUMMARY OF THE INVENTION The present invention has been made in order to solve the above problems, and it is an object of the present invention to provide a demand management company that has various energy sources such as emergency power generation, commercial power generation, The present invention provides a method and system for supporting selection and configuration of optimal distributed resources by combining cost minimization and reliability maximization so as to satisfy profitability, bidding possibility, and reliability at the time of bidding.

According to an aspect of the present invention, there is provided a method for configuring a unified resource, the method comprising: evaluating the distributed resources and calculating a score based on data on distributed resources; Determining a priority of the distributed resources based on the estimated score; And selecting, as distributed resources for DR (Demand Response) bidding, some of the distributed resources based on the priority.

The data on the distributed resources may include data on past DR activity results of the distributed resources.

Also, the past DR activity record includes at least one of the ratio of the actual participation participation amount to the DR participation requirement amount, the ratio of the actual participation time to the DR participation request time during the recent specific period, May be included.

The data on the distributed resources may include at least one of profitability, return on investment (ROI), and break even point (BEP).

According to another aspect of the present invention, there is provided a method of constructing an integrated resource, comprising: calculating an operation cost based on a combination of distributed resources selected in the selection step; And determining the combination as distributed resources for the DR bidding if the calculated operation cost is less than the set operation cost.

And changing the distributed resources constituting the combination if the calculated operation cost exceeds the set operation cost.

Also, in the changing step, a part of the distributed resources constituting the combination may be changed to a distributed resource having a lower priority.

And, the data about the distributed resources may include the automatically collected data and the data evaluated by the manager.

In addition, the estimation step may be a fuzzy comprehensive evaluation technique based on entropy weighting and AHP (Analytic Hiearchy Process), and the distributed resources may be evaluated to calculate a score.

Meanwhile, the integrated resource management system according to another embodiment of the present invention evaluates the distributed resources based on data on distributed resources, calculates a score, and calculates a priority of the distributed resources based on the estimated score A first block for selecting some of the distributed resources as distributed resources for DR bidding based on the priority; And a second block for operating the distributed resources selected by the first block.

Meanwhile, a distributed resource evaluation method according to another embodiment of the present invention includes collecting data on distributed resources; And evaluating the distributed resources based on the collected data to calculate a score. The data on the distributed resources includes data on past DR activity results of the distributed resources.

According to another aspect of the present invention, a distributed resource evaluation system includes: a collection unit for collecting data on distributed resources; And an evaluation unit for evaluating the distributed resources and calculating a score based on the collected data, wherein data on the distributed resources includes data on past DR activity results of the distributed resources.

As described above, according to the embodiments of the present invention, a demand management company having a distributed resource composed of various energy sources such as emergency power generation, commercial power generation, energy storage device and load, rather than a simple load, , It can induce the participation of non-load distributed resources in demand resource management market.

In addition, according to embodiments of the present invention, it is possible to minimize the cost and maximize the reliability of the demand management through the resource selection and configuration method based on the optimal resource filtering for ensuring the bidding possibility, profitability, It can contribute to the profitability and reliability of the business.

According to embodiments of the present invention, a demand management company can receive various distributed energy resources and provide a function to efficiently operate distributed resources through cost-effective DR bidding, To maximize the electricity market and to activate the electricity trading market.

Figure 1 illustrates a VPP management platform to which the present invention is applicable;
FIG. 2 is a conceptual diagram of an optimal distributed resource selection and configuration engine supporting economical DR,
3 and 4 are tables showing criteria for comprehensive evaluation of the reliability of distributed resources,
5 is a hierarchical structure for an AHP-based distributed power reliability comprehensive evaluation.

Hereinafter, the present invention will be described in detail with reference to the drawings.

FIG. 1 is a diagram showing a VPP (Virtual Power Plant) management platform to which the present invention is applicable. The VPP management platform 100 is a system for managing Distributed Energy Resources (DER)

The distributed energy resource 200 refers to various energy resources such as an emergency / commercial power generator 210, an energy storage system (ESS) 220, a load 230, and the like. Since the load 230 generates surplus power in a manner that does not consume power, it can be regarded as an energy resource in a passive sense.

With respect to embodiments of the present invention, the VPP management platform 100 optimizes resource scheduling by selecting and configuring optimal distributed resources for economical DR-based power market participation.

1, the VPP management platform 100 includes a distributed energy resource management block 110, a resource scheduling management block 120, and a resource operation management block 130.

The distributed energy resource management block 110 is a block for managing the distributed energy resources 200, managing various events, and managing the settlement of the economic benefits due to the economical DR support.

The resource scheduling management block 120 estimates the operating cost of each distributed resource and optimizes optimal distributed resource selection / configuration and resource scheduling for economical DR-based power market participation. To this end, the resource scheduling management block 120 includes an economical DR supported optimal distributed resource selection and configuration engine 125.

The resource operation management block 130 configures / controls the integrated power generation resources by combining the distributed resources according to the selection / configuration and the scheduling result by the economical DR supported optimal distributed resource selection and configuration engine 125, and performs optimization and monitoring do.

FIG. 2 is a conceptual diagram of an 'economical DR-supported optimal distributed resource selection and configuration engine 125' (hereinafter abbreviated as 'distributed resource selection / configuration engine 125').

For optimal distributed resource selection and configuration, distributed resource selection / configuration engine 125 uses resource-specific operational history and manager evaluation data.

The resource management history and the manager evaluation data are used to evaluate the reliability of the distributed resources. The data collected automatically by the system as the distributed resource is operated and the qualitative or quantitative evaluation Data.

The resource management history and manager evaluation data correspond to 'criteria for comprehensive evaluation of the reliability of distributed resources' (hereinafter abbreviated as 'distributed resource reliability evaluation criteria'), and in FIGS. 3 and 4 It is defined as shown in the table.

As shown in FIGS. 3 and 4, criteria for comprehensive evaluation of the reliability of distributed resources are 1) technical factor, 2) technical factor, 3) environmental factor ) And 4) social factors.

First, technical factors are classified as reliability, maintainability, and productivity. These are the criteria that apply to both the generator and the load.

11) Reliability includes the ratio of the actual participation rate to the DR demand requirement, [112] the ratio of the actual participation time to the DR request time in the recent specific period [ Average duration ratio (DR)) 113 and the actual participation frequency (participation number / period) for a recent specific period.

12) Maintainability includes: 121) Power factor, 122) Accumulated operating time for a specific period or current time, 123) Accumulated Operating frequency And 124) fuel level, generator vibration, generator noise, oil pressure, oil temperature, and generator sensor level.

13) Productivity includes the generating capacity of the generator, and the load reduction ability of the load.

Second, economic factors are divided into 21) cost and 22) profitability. These are standards that apply only to generators.

21) Cost includes the operation cost of the generator and the maintenance cost of the generator.

22) Profitability includes return on investment (ROI) and break even point (BEP).

Third, environmental factors are divided into 31) Nox Emission, 32) Energy Conservation, 33) Co2 Emission, and 34) Policy Risk. 31) Nox emissions are only applicable to generators, 33) Co2 emissions are a load-only criterion, 32) energy savings, and 34) policy risk applies to both generators and loads.

32) The amount of energy savings is the amount of power reduction received from the grid due to the DR response of the generator and the load, and 33) the amount of Co2 emissions is the grid power reduction and the reduction of CO2 emissions due to the DR response of the load.

34) Policy risks include: 343) the risk of purchase risk and 344) the power market risk.

Fourth, social factors are divided into 41) Employment increase due to DR participation, and 42) Social operating condition on DR participation of distributed generation resource owners. 41) Employment growth is a standard that applies to both generators and loads, and 42) SOC applies only to generators.

In this way, the distributed resource reliability comprehensive evaluation standard consists of quantitative and qualitative indicators. In addition, the data accumulation period was determined in consideration of the bidding cycle of economic DR, whether automatic data collection is possible, and whether manager evaluation is possible.

Referring again to FIG.

The distributed resource selection / configuration engine 125 uses the entropy weight and the AHP (Analytic Hiearchy Process) based fuzzy comprehensive evaluation technique using the data collected automatically and the data evaluated by the manager according to the distributed resource reliability comprehensive evaluation standard, The reliability of the distributed power source is derived as a score through an overall evaluation of the reliability of the distributed power source.

A hierarchical structure for AHP-based distributed power reliability comprehensive evaluation is defined as shown in FIG.

Next, the distributed resource selection / configuration engine 125 determines the reliability priorities of the distributed resources based on the score derived for each distributed resource, and determines the distributed resources having the highest priority of reliability .

The distributed resource selection / configuration engine 125 then applies the operating costs of the distributed resources to derive the total operating cost according to the distributed resource combination.

Then, the distributed resource selection / configuration engine 125 compares the running cost of the derived distributed resource combination with the demand management business set operating cost. As a result of comparison, if the operation cost of the distributed resource combination is less than the operation cost set by the demand management operator, the derived distributed resource combination is selected. In this case, the optimal combination is that the reliability of the distributed resource combination is the highest and the operation cost is minimized.

If the operating cost of the derived distributed resource combination exceeds the demand management operator set operating cost, the distributed resource selection / configuration engine 125 selects the next lowest distributed resource combination. That is, some of the distributed resources constituting the combination is changed to a distributed resource having a lower priority.

Next, the distributed resource selection / configuration engine 125 derives the total operating cost according to the selected distributed resource combination, and compares the total operating cost with the demand management business setting operation cost again.

This process is repeated until the operating cost of the derived distributed resource combination becomes less than the demand management operator set-up operation cost. In this process, there is a tradeoff between the reliability of the distributed resource combination and the cost.

It goes without saying that the technical idea of the present invention can also be applied to a computer-readable recording medium having a computer program for performing the functions of the apparatus and method according to the present embodiment. In addition, the technical idea according to various embodiments of the present invention may be embodied in computer-readable code form recorded on a computer-readable recording medium. The computer-readable recording medium is any data storage device that can be read by a computer and can store data. For example, the computer-readable recording medium may be a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical disk, a hard disk drive, or the like. In addition, the computer readable code or program stored in the computer readable recording medium may be transmitted through a network connected between the computers.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the present invention.

100: VPP Management Platform
110: Distributed energy resource management block
120: resource scheduling management block
125: Distributed resource selection / configuration engine
130: Resource management management block
200: Distributed energy resources

Claims (12)

The integrated resource management system evaluating the distributed resources and calculating a score based on the data on the distributed resources;
Determining, by the integrated resource management system, a priority of the distributed resources based on the estimated score; And
And the integrated resource management system selecting some of the distributed resources as distributed resources for DR (Demand Response) bidding based on the priority,
In the data on the distributed resources,
Data on past DR activity results of the distributed resources are included,
In the past DR results,
A ratio of the actual participation participation amount to the DR participation request amount, a ratio of the actual participation time to the DR participation request time in the recent specific period, and an actual number of DR participation in the recent specific period.
delete delete The method according to claim 1,
In the data on the distributed resources,
Profitability, Return On Investment (ROI), and Break Even Point (BEP).
The method according to claim 1,
The integrated resource management system comprising: calculating an operation cost based on a combination of distributed resources selected in the selecting step; And
And if the calculated operation cost is less than the set operation cost, the integrated resource management system determines the combination as distributed resources for the DR bidding.
The method of claim 5,
And the integrated resource management system further comprises the step of, when the calculated operation cost exceeds the set operation cost, changing distributed resources constituting the combination.
The method of claim 6,
Wherein the modifying comprises:
And changing a part of the distributed resources constituting the combination to a distributed resource having a lower priority.
The method according to claim 1,
The data for distributed resources,
And automatically collected data and data evaluated by an administrator.
The method according to claim 1,
The method of claim 1,
Wherein the distributed resources are evaluated based on an entropy weight and an Analytic Hiearchy Process (AHP), and scores are calculated.
Evaluating the distributed resources based on the data on distributed resources, calculating a score, determining a priority of the distributed resources based on the calculated score, and setting a part of the distributed resources as a DR A first block for selecting distributed resources for bid response (Demand Response); And
And a second block for operating the distributed resources selected by the first block,
In the data on the distributed resources,
Data on past DR activity results of the distributed resources are included,
In the past DR results,
The ratio of the actual participation participation amount to the DR participation request amount, the ratio of the actual participation time to the DR participation request time in the recent specific period, and the actual number of DR participation in the recent specific period.
A distributed resource evaluation system comprising: collecting data on distributed resources; And
And the distributed resource evaluation system evaluating the distributed resources and calculating a score based on the collected data,
In the data on the distributed resources,
Data on past DR (Demand Response) performance data of the distributed resources is included,
In the past DR results,
The ratio of the actual participation participation amount to the DR participation request amount, the ratio of the actual participation time to the DR participation request time in the recent specific period, and the actual number of DR participation in the recent specific period.
A collection unit for collecting data on distributed resources; And
And an evaluation unit for evaluating the distributed resources and calculating a score based on the collected data,
In the data on the distributed resources,
Data on past DR (Demand Response) performance data of the distributed resources is included,
In the past DR results,
A ratio of the actual participation participation amount to the DR participation request amount, a ratio of the actual participation time to the DR participation request time in the recent specific period, and an actual number of DR participation in the recent specific period.

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