KR20180062339A - Apparatus and method for bid processing of the aggregated power plant - Google Patents

Abstract

Disclosed are an apparatus for processing a bid of an aggregate generator and a method thereof. According to an embodiment of the present invention, the apparatus for processing a bid of an aggregate generator includes: an aggregate generator configuration management unit for generating an aggregate profile by configuring distributed resources for participation in a power market as the aggregate generator; a monitoring unit for reconfiguring the aggregate profile by monitoring the distributed resources; a bid processing unit for calculating a bid amount of the aggregate generator using the aggregate profile; and a bid weight calculating unit for calculating a weight coefficient based on weather information and providing the calculated weight coefficient to the bid processing unit in order to correct the bid amount. Accordingly, the present invention can participate in a generation bid by inputting and storing the bid amount in the aggregate generator according to a selected power amount input mode.

Description

[0001] APPARATUS AND METHOD FOR BID PROCESSING OF THE AGGREGATED POWER PLANT [0002]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a power bidding technique, and more particularly, to a bidding technique of an aggregate generator.

In the smart grid, the electronic bidding system is a system that receives sales orders to sell electricity generated by generators that are trading in the electricity market.

The generator holder basically inputs the amount of power generation information that can actually be developed as an initial setting value and applies for a bid. Thus, aggregate generators composed of several small dispersed resources determine the supply capacity of the electricity sales volume to be sold as the total of the generations that can be produced from the small scale distributed resources.

However, in order for small-scale distributed resources to participate in electricity trading, aggregate generators need to be entrusted with power trading from small-scale distributed resources. In this case, the set generator can receive the power generation amount as each small distributed resource, but it can entrust the power generator setting to the set generator operator based on the maximum power generation capacity and characteristics of the generator.

Therefore, the aggregate generator needs to select the bid amount input mode in order to participate in the bid of the power trading market, and a method of receiving the order amount in the selected mode is needed.

On the other hand, Korean Patent No. 10-1676427 entitled " electric power bidding profile system " refers to a power bidding profile system for performing a profile by correcting a bid amount by reflecting generator performance information when power bidding is performed for a unit time .

The present invention aims at inputting and storing a bid amount to a set generator in accordance with a selected power amount input mode to participate in power generation bidding.

In addition, the present invention aims at constructing an aggregate generator so as to utilize a small-scale distributed resource as a development resource for a small-scale resource which is difficult to participate in a power trading market and is difficult to manage.

The present invention also aims to support various input methods for bidding of aggregate generators.

According to an aspect of the present invention, there is provided an apparatus for processing bidder aggregate generators, comprising: an aggregate generator configuration management unit configured to configure distributed resources for participating in the power market as aggregate generators to generate aggregate profiles; A monitoring unit monitoring the distributed resources to reconstruct the aggregate profile; A bid processor for calculating a bid amount of the aggregate generator using the aggregate profile, and a bid weight calculator for calculating a weight coefficient based on weather information to correct the bid amount and providing the calculated weight coefficient to the bid processor.

At this time, the bid weight calculation unit may calculate at least one weight coefficient among the season-based weight, the irradiation-based weight, and the weather-based weight based on the weather information.

At this time, the bid weight calculation unit may calculate a weight coefficient of the irradiation-based weight based on the average horizontal irradiation amount for a predetermined period from the weight calculation request date.

At this time, the bid weight calculation unit may calculate the weight coefficient of the time-based weight from the irradiation amount information by time of the weight calculation request day with reference to the weather information to correct the irradiation-based weight.

At this time, the bid processor calculates an initial bid amount based on the weather information of the day before the bid, calculates a variable bid amount in which the initial bid amount is corrected based on the weather information of the bid desired date, and calculates the bid amount .

At this time, the bidding processor can calculate the average generation amount by time of each season using the past generation amount information of the previously stored aggregate generators.

In this case, if there is no previous generation amount information, the bid processor may calculate an average generation amount by time of each season based on the maximum generation capacity and the minimum generation capacity of the distributed resources configured in the aggregate generator.

At this time, the bid processor may calculate the initial bid amount using the season-based weight and the weight coefficient of the irradiation-based weight, based on the average power generation amount per hour and the weather information of the day before the bid.

At this time, the bid processor can calculate the variable bid amount in which the initial bid amount is corrected using the weather-based weight based on the weather information of the bid date and the weight coefficient of the irradiation-based weight.

At this time, the bid processor may generate an initial bid for the initial bid amount, and generate a final bid for the aggregate generator by regenerating the variable bid for the variable bid amount.

According to another aspect of the present invention, there is provided a method of processing an aggregate generator bidding process using an aggregate generator bidding process apparatus, the method comprising the steps of: Creating a set profile; Monitoring the distributed resources to reconstruct the aggregate profile, and calculating the bid amount of the aggregate generator using the aggregate profile.

At this time, the step of calculating the bid amount may calculate at least one weight coefficient among the season-based weight, the irradiation-based weight, and the weather-based weight based on the weather information.

In this case, the step of calculating the bid amount may calculate the weight coefficient of the irradiation-based weight based on the average horizontal surface irradiation amount for a predetermined period from the weight calculation request date.

In this case, the calculating of the bid amount may correct the irradiation-based weight by calculating a weighting factor of a time-based weighting value from the irradiation time-specific information of the weight calculation day with reference to the weather information.

The step of calculating the bid amount may include calculating an initial bid amount based on the weather information of the day before the bid date and calculating a variable bid amount in which the initial bid amount is corrected based on the weather information of the bid date, The bid amount can be calculated.

At this time, the step of calculating the bid amount may calculate the average generation amount by time of each season using the past generation amount information of the pre-stored set generators.

At this time, in the case where the past generation amount information does not exist, the step of calculating the bid amount may calculate the average generation amount by time of each season based on the maximum generation capacity and the minimum generation capacity of the distributed resources configured in the aggregate generator.

At this time, the initial bid amount may be calculated using the season-based weight based on the average power generation amount per hour and the weather information of the day before the bid, and the weight coefficient of the irradiation-based weight.

At this time, the calculating of the bid amount may calculate the variable bid amount in which the initial bid amount is corrected using a weather-based weight based on the weather information of the bid requested date and a weight coefficient of the irradiation-based weight.

At this time, the step of calculating the bid amount may generate an initial bid for the initial bid amount, and regenerate the variable bid for the variable bid amount to generate the final bid for the set generator.

The present invention can enter the generation bidding by inputting and storing the bid amount to the aggregate generator according to the selected power amount input mode.

In addition, the present invention can constitute an aggregate generator so as to utilize a small-scale distributed resource as a development resource for a small-scale resource which is difficult to participate in a power trading market and is difficult to manage.

In addition, the present invention can support various input methods for bidding of aggregate generators.

1 is a block diagram showing an aggregate generator bid processing apparatus according to an embodiment of the present invention.
FIG. 2 is a detailed block diagram illustrating an example of the aggregate generator configuration management unit shown in FIG. 1. Referring to FIG.
3 is a detailed block diagram showing an example of the monitoring unit shown in FIG.
4 is a detailed block diagram showing an example of the bid processor shown in FIG.
5 is a detailed block diagram illustrating an example of the auction statistic calculation unit shown in FIG.
6 is an operational flowchart illustrating a method of processing an aggregate generator bid according to an embodiment of the present invention.
FIG. 7 is a detailed operational flowchart illustrating an example of the aggregate generator configuration step shown in FIG.
FIG. 8 is an operation flowchart showing an example of the monitoring step shown in FIG. 6 in detail.
FIG. 9 is a detailed flowchart illustrating an initial bidding process shown in FIG.
FIG. 10 is a flow chart showing in detail an example of the variable bidding execution step shown in FIG.
11 is a diagram illustrating an operation selection interface for calculating the bid amount of the aggregate generator according to an embodiment of the present invention.
12 is a block diagram illustrating a computer system in accordance with an embodiment of the present invention.

The present invention will now be described in detail with reference to the accompanying drawings. Hereinafter, a repeated description, a known function that may obscure the gist of the present invention, and a detailed description of the configuration will be omitted. Embodiments of the present invention are provided to more fully describe the present invention to those skilled in the art. Accordingly, the shapes and sizes of the elements in the drawings and the like can be exaggerated for clarity.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise.

Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram showing an aggregate generator bid processing apparatus according to an embodiment of the present invention. FIG. 2 is a detailed block diagram illustrating an example of the aggregate generator configuration management unit shown in FIG. 1. Referring to FIG. 3 is a detailed block diagram showing an example of the monitoring unit shown in FIG. 4 is a detailed block diagram showing an example of the bid processor shown in FIG. 5 is a detailed block diagram illustrating an example of the auction statistic calculation unit shown in FIG.

Referring to FIG. 1, an aggregate generator bid processor 100 according to an embodiment of the present invention includes an aggregate generator configuration management unit 110, a monitoring unit 120, a bid processing unit 130, a bid statistics calculation unit 140, And a bid weight calculation unit 150.

The aggregate generator configuration management unit 110 can generate aggregate profiles by configuring distributed resources for participation in the power market as aggregate generators.

At this time, the aggregate generator configuration management unit 110 may configure at least one distributed resource corresponding to aggregate generation characteristics among the distributed resources as the aggregate generator.

Referring to FIG. 2, the aggregate generator configuration management unit 110 may include an aggregate generation unit 111 and an aggregate profile generation unit 112.

The aggregate power generation unit 111 may constitute individual small scale distributed resources as aggregate generators. A small distributed resource can be registered as an element generator constituting an aggregate generator by concluding a transaction contract, and a small distributed resource that has been registered can belong to an aggregate generator.

At this time, the aggregate generation section 111 may generate a plurality of aggregate generators to which two or more small-scale distributed resources belong.

At this time, the aggregate power generation unit 111 may be requested by the small-scale distributed resource holder for the contract for constructing the aggregate power generator.

At this time, the aggregation generation unit 111 can start the electronic bid contract by receiving the small scale distributed resource information.

At this time, when the electronic bid contract is concluded, the collective power generation building block 111 can construct the collective power generator by selecting the contracted small-scale power generators.

At this time, the aggregate power generation unit 111 may construct an aggregate power generator that matches the aggregate power generation characteristics by adding a small-scale distributed resource that is newly contracted or contracted to the aggregate generators having one or more small-scale distributed resources.

For example, the aggregate generation characteristics can correspond to the generation capacity, use, and the same area of a small scale distributed resource.

The aggregate profile generation unit 112 may collect small scale distributed resources registered in the power market and construct aggregate generation resources.

For example, the aggregation profile generation unit 112 collects the configuration information of the small scale distributed resources, such as the power generation company, the location, the resource type, the usage, the watt hour number, and the facility capacity, Capacity, area, number of power generation sources, amount of bidding by season, and bid input mode.

At this time, the aggregation profile generation unit 112 can generate the aggregation profile based on the result of configuring the configuration information of the small scale distributed resources with the configuration information of the aggregate generation resources.

The monitoring unit 120 may monitor distributed resources to reconstruct the aggregate profile.

3, the monitoring unit 120 may include an individual generator status collecting unit 121, an aggregate generator status inquiry unit 122, and a power generation input unit 123.

The individual generator state collecting unit 121 may collect and store information on the state of development of individual resources and the state of power generation.

The aggregate generator status inquiry unit 122 can perform real-time monitoring of the facility status and the individual power generation amount of the individual small scale distributed resources constituting the aggregate generator.

At this time, the aggregate generator state inquiry unit 122 may monitor the distributed resources configured in the aggregate generators, and monitor the generated amount only for the distributed resources normally operating.

For example, the aggregate generator state inquiry unit 122 can perform monitoring at intervals of 5 minutes, integrate and manage the abnormality of the individual distributed resources, You may not receive input.

At this time, the aggregate generator status inquiry unit 122 can monitor the overall power generation status including whether the power generation status information of the aggregate generator is normal, a malfunction, or a malfunction or failure of a small distributed resource belonging to the aggregate generator status inquiry unit 122.

At this time, the aggregate generator state inquiry unit 122 may parallel the monitoring of the self resources of the small-scale distributed resources and the aggregate generator monitoring.

At this time, the aggregate generator status inquiry unit 122 may reconfigure the aggregate profile by changing the configuration of the aggregate generator so that the amount of power generation of the normally operating distributed resources corresponds to the facility capacity.

The power generation amount input unit 123 can collect the power generation amount and the cumulative power generation amount at any time by reading the watt hour meter for measuring the power generation amount of individual small scale distributed resources in units of 5 minutes.

At this time, the power generation amount input unit 123 can transmit the generated power generation amount information to the bid amount processing unit 130.

The occasional generation amount information can be used as basic data for estimating the estimated bid amount per hour for bidding.

The bid processor 130 may calculate the bid amount for the aggregate generator using the aggregate profile.

Referring to FIG. 4, the bidding processing unit 130 may include a bid amount calculating unit 131, a bidder generating unit 132, and a bid history storing unit 133.

The bid amount calculation unit 131 can calculate the bid amount of the aggregate generator by time.

The bid amount may be composed of the initial bid amount and the variable bid amount.

The initial bid amount may correspond to the bid amount in which the average power generation amount per time zone of the set generator is corrected in accordance with the weather information, on the day prior to the bidding hope date.

The variable bid amount may correspond to the bid amount whose initial bid amount has been corrected in accordance with the weather information and irradiation amount information which are changed from the initial bid to the bid day.

At this time, the bid amount calculation unit 131 can calculate the power generation prediction amount first.

At this time, the bid amount calculation unit 131 may receive the basic data to estimate the power generation amount to be generated in the aggregate power generator, and calculate the power generation amount using the power generation amount calculation algorithm.

At this time, the basic data on the power generation amount may include the aggregate generator monitoring information, the currently monitored power generation amount information of the small scale distributed resources, and the maximum / minimum power generation amount information inputted at the collective power generation contract.

Also, the bid amount calculation unit 131 may calculate an amount of bid based on the input power generation amount by selecting an operation mode for calculating the bid amount of the aggregate generator.

At this time, the bid amount calculating section 131 can calculate the bid amount using three operation modes.

The three operation modes for calculating the bid amount may include a direct input mode, an automatic input mode, and an automatic correction mode.

In addition, the three operation modes can be input as setting information when the aggregate generator is constructed, and the bid amount input operation method can be distinguished at the time of calculating the bid amount.

At this time, the bid amount calculation unit 131 can input the desired sales power capacity (power generation amount) and price directly by the small-scale distributed resource holder using the direct input mode.

At this time, the bid amount calculation unit 131 can automatically calculate the sales power capacity (power generation amount) by using the automatic input mode and the automatic correction mode.

At this time, when the bid amount calculation section 131 selects the automatic input mode as the operation mode, the calculation method of the sales power capacity varies depending on whether there is a generation amount per hour in the past generation amount information of the month or not .

For example, in the automatic input mode, the bid amount calculation unit 131 may classify the power generation period as a stop period, a minimum interval, a maximum interval, a minimum interval, and a stop interval in order of 24 hours.

At this time, in the automatic input mode, the bid amount calculation unit 131 calculates a bid amount based on the past generation amount information by dividing a day interval of one year into spring, summer, autumn, It is possible to calculate the average power generation amount per time section for each date section.

At this time, the bid amount calculation unit 131 can input the average power generation amount per time in the maximum section of the power generation section in the automatic input mode.

At this time, the bid amount calculating section 131 can input the power generation amount as '0' in the stop section during the power generation section in the automatic input mode.

At this time, the bid amount calculation unit 131 may input a value obtained by multiplying the average generation amount per hour and the weight coefficient of the season-based weighting in the minimum interval of the power generation interval in the automatic input mode.

At this time, in the automatic input mode, when there is no previous generation amount information, the bid amount calculation unit 131 calculates an average generation amount per hour from the intermediate value between the maximum generation capacity and the minimum generation capacity input together when the small- Can be calculated.

At this time, the calculated average generation amount per time may be a provisional value.

At this time, as the history information of the input power generation amount accumulates, the accuracy of the initial amount of bidding which calculates the average generation amount of the past generation amount information may be increased.

Further, the bid amount calculating section 131 can correct the average power generation amount by time.

The bid weight calculation unit 140 may calculate a weight coefficient for correcting the average power generation amount per time.

At this time, the bid weight calculation unit 140 may store weather information (for example, irradiation amount information and weather information) for weight calculation, and may receive weather information from a server device that provides weather information.

At this time, the bid weight calculation unit 140 may calculate at least one weight coefficient among the season-based weight, the irradiation-based weight, and the weather-based weight based on the weather information.

At this time, the bid weight calculation unit 140 may calculate a weight coefficient for correcting the average power generation amount per time and provide the weight coefficient to the bid processor 130.

At this time, the bid weight calculation unit 140 may calculate the season-based weight, the irradiation-based weight, and the time-based weight based on the season, the irradiation amount, and the time.

For example, the bid weight calculation unit 140 may calculate a weight coefficient of the season-based weight for the season in which the bid wish date belongs.

At this time, as shown in Table 1, the bid weight calculation unit 140 can select the weight coefficient of the season-based weight that represents the corresponding season range.

range spring summer autumn winter weight 0.8 1.5 1.0 0.3

For example, the bid weight calculation unit 140 may select a weight coefficient of a season to which a requested weight calculation request (for example, a pre-bid hope date and a bid favor date) requested by the bid processor 130 belongs.

In addition, the bid weight calculation unit 140 may calculate the weight coefficient of the insolation-based weight based on the average horizontal plane insolation amount for a pre-set previous period (for example, one week) before the bid request.

At this time, as shown in Table 2, the bid weight calculation unit 140 can select the weight coefficient of the insolation-based weight that represents the insolation range.

range Less than 1.0 1.0 or higher
~ Less than 2.0 2.0 or higher
Less than 3.0 3.0 or higher
~ Less than 4.0 4.0 or higher
Less than 5.0 weight 0.8 0.9 1.0 1.1 1.2

For example, if the adjustment value (horizontal solar irradiance (unit: kWh / m2 / d)) determined based on the average horizontal surface irradiation amount per week before the bid date is less than 1.0, 0.9, 2 1.0 if it is less than 3, less than 4, less than 4, 1.1, more than 4.0, less than 5.0, 1.2) can be calculated by the weighting coefficient.

In addition, the bid weight calculation unit 140 may calculate the time-based weight to correct the accuracy of the irradiation-based weight.

At this time, as shown in Table 3, the bid weight calculation unit 140 can calculate the weight coefficient of the time zone-based weight by date according to the weather information.

At this time, the bid weight calculation unit 140 can select a weight coefficient of a time zone-based weight that represents a time range of the highest irradiation dose time zone and the lowest irradiation dose time zone of the weight calculation request day.

At this time, the bid weight calculation unit 140 can correct the irradiation-based weight coefficient by using the weight coefficient of the highest insolation time zone and the lowest insolation time zone.

For example, the bid weight calculation unit 140 may multiply the average value or the median value of the weight coefficients of the maximum insolation time zone and the lowest insolation time zone by the weight coefficients of the insolation based weight to correct the insolation based weight.

range 6 to 8 o'clock 8 to 11 o'clock 11 to 14 o'clock 14-18 18-20 weight 0.6 0.8 1.3 1.0 0.7

For example, the bid weight calculation unit 140 can select a weight coefficient representing the time zone in which the irradiation amount is the largest and the time period in which the irradiation amount is the largest.

At this time, the bid amount calculation unit 131 can calculate the bid amount by time in which the average power generation amount is corrected by using the weight coefficient.

At this time, the bid amount calculation unit 131 can input the calculated bid amount per time as the initial bid amount.

That is, the bid amount calculation unit 131 can calculate the initial bid amount using the season-based weight based on the average power generation amount per hour and the weather information of the day before the bid, and the weight coefficient of the irradiation-based weight.

Also, the bid amount calculating section 131 can calculate the variable bid amount with respect to the initial bid amount.

That is, the bid amount calculation unit 131 can calculate the variable bid amount in which the initial bid amount is corrected by using the weather-based weight based on the weather information of the bid date and the weight coefficient of the irradiation-based weight.

At this time, the bid amount calculation unit 131 may analyze the weather information and the irradiation amount information of the desired bid day after the bid deadline, and calculate whether there is an increase / decrease of the amount of power generation that can change the initial bid amount.

For example, when the aggregate generator has a time longer than one hour of power generation, the bid amount calculation unit 131 can calculate the variable bid amount only once.

At this time, when calculating the variable bid amount, the bid weight calculation unit 140 may calculate the weight coefficient of the weather-based weighting factor and the irradiation-based weighting factor to improve the accuracy of the bid amount information.

At this time, the bid weight calculation unit 140 may calculate the weather-based weight by analyzing the weather information.

For example, the bid weight calculation unit 140 can select a weight coefficient of the weather-based weight that represents the weather range, as shown in Table 4.

range blur Sunny Ultraviolet Care weight 0.5 1.0 1.4

At this time, the bid weight calculation unit 140 may calculate the irradiation-based weight by analyzing the irradiation amount information.

For example, the bid weight calculation unit 140 may calculate the insolation based weight based on Tables 2 and 3.

At this time, the bid weight calculation unit 140 can provide the bid amount calculation unit 131 with the weather-based weight of the desired date of bid and the weight coefficient of the irradiation-based weight for calculation of the variable bid amount.

At this time, the bid amount calculation unit 131 can input the variable bid amount to the aggregation profile generation unit 112 to update the bid amount of each small-scale distributed resource by season and by time.

The bidder generation unit 132 may generate bid information for collecting the bid amount information of the small scale distributed resources configured in the aggregated power generation plant and transmitting the information to the power exchange.

At this time, the bidder generation unit 132 may receive weather information (e.g., irradiation amount information and weather information) from the bid weight calculation unit 140. [

At this time, the bidder generation unit 132 may generate an initial bid for the initial bid amount and regenerate the variable bid for the variable bid amount to generate the final bid of the aggregate generator.

For example, when the variation of the bid amount is expected one hour before the generation instruction is issued, the bid book generation unit 132 generates a bid amount for the variable bid amount in which the product of the weather-based weight and the irradiation- The registrant can regenerate the variable bid and deliver the final bid to the power exchange for regenerated variable bid amount.

For example, the bidding document generation unit 132 may generate the initial bid by 9:00 am on the day before the bidding wish date, D-1, and deliver it to the KPX by 10:00 AM on D-1.

The bid history storage unit 133 may store the predicted generation amount, the aggregate generator state, and the estimated power generation amount generated every time for the small-scale distributed resources.

At this time, the expected generation supply amount may correspond to the difference in the amount of power required in the small-scale distributed resource in the predicted generation amount.

At this time, the bidding history storage unit 133 may store the bidder of the aggregate generator generated by the bidder generation unit 132.

The auction statistic calculation unit 150 may provide the bidding processing unit 130 with the statistical bidding amount calculation method and the past generation amount information, and may store the calculated bidding amount.

5, the auction statistic calculation unit 150 may include a statistical calculation unit 151 and a statistical information storage unit 152.

The statistical calculation unit 151 may include a daily statistical calculator, a weekly statistical calculator, and a monthly statistical calculator.

The daily statistical calculator calculates the amount of orders and bid amount per hour of the hour of the day for calculating the bid amount, the sum of the orders for the small scale distributed resources constituting the aggregate generator, the sum of the bid amounts, The average bid amount can be calculated.

The weekly statistical calculator can generate the data for the week and the previous week including the specified date by calculating the sum and average of the weekly order quantity and the bid quantity for the order quantity and the bid quantity.

The monthly statistical calculator can generate data on the amount of bidding by specific resource by calculating sum and average of monthly order quantity and bid quantity.

At this time, the bid amount data calculated by the statistical calculation unit 151 can be used as the bid amount when the bid amount calculation unit 131 operates in the automatic input mode.

The statistical information storage unit 152 may store the daily, weekly, monthly sum and average information calculated by the statistical calculation unit 151. [

6 is an operational flowchart illustrating a method of processing an aggregate generator bid according to an embodiment of the present invention. FIG. 7 is a detailed operational flowchart illustrating an example of the aggregate generator configuration step shown in FIG. FIG. 8 is an operation flowchart showing an example of the monitoring step shown in FIG. 6 in detail. FIG. 9 is a detailed flowchart illustrating an initial bidding process shown in FIG. FIG. 10 is a flow chart showing in detail an example of the variable bidding execution step shown in FIG.

Referring to FIG. 6, an aggregate generator bid processing method according to an embodiment of the present invention may first configure an aggregate generator (S210).

Referring to FIG. 7, step S210 may first execute a set generator configuration contract request (S211).

That is, in step S211, the small scale distributed resource holder may request the contract for constructing the aggregate generator to perform the aggregate generator configuration.

In addition, the small-scale distributed resource information may be input in step S210 (S212).

That is, the step S212 may start the electronic bidding contract by receiving the small-scale distributed resource information.

In addition, the small-scale distributed resource can be selected in step S210 (S213).

In addition, step S210 may constitute an aggregate generator (S214).

That is, the aggregate generator can be configured by selecting the contracted small scale distributed resources in step S214.

At this time, in step S214, an aggregate generator suitable for aggregate generation characteristics can be constructed by adding a small-scale distributed resource, which is newly contracted or contracted, to the aggregate generator having one or more small-scale distributed resources.

For example, the aggregate generation characteristics can correspond to the generation capacity, use, and the same area of a small scale distributed resource.

At this time, if there is no aggregate generator matching the aggregate generation characteristics, step S214 can be configured to newly generate aggregate generators and to include small-scale distributed resources.

In addition, step S210 may generate the aggregate profile (S215).

That is, step S215 may store the registration information for the configured aggregate generator in the aggregate profile.

In addition, the aggregate generator bid processing method according to an embodiment of the present invention may perform monitoring (S220).

Referring to FIG. 8, in operation S220, an aggregate generator and small-scale distributed resource monitoring may be performed in operation S221.

In other words, the step S221 can perform real-time monitoring of the facility state and the individual power generation amount of the individual small scale distributed resources constituting the set generator.

At this time, in step S221, the distributed resources configured in the aggregate generator may be monitored to monitor the generated amount only for the distributed resources normally operating.

At this time, in step S221, the power generation status information of the aggregate generators can be monitored as to whether the power generation status information is normal or whether there is a malfunction or failure of the small-scale distributed resources belonging to the power generation system.

At this time, the step S221 may parallel the monitoring of the self resources of the small-scale distributed resources and the monitoring of the aggregate generator.

At this time, the step S221 may reconfigure the aggregate profile by changing the configuration of the aggregate generator so that the amount of power generation of the normally operating distributed resources corresponds to the facility capacity.

In addition, the small-scale distributed resource generation amount information may be input in step S220 (S222).

For example, in step S222, it is possible to input the power generation amount information by collecting the power generation amount and the cumulative power generation amount at any time by reading the watt-hour meter for measuring the power generation amount of each small-scale distributed resource in units of 5 minutes.

At this time, the step S222 collectively manages the abnormality with respect to the individual distributed resources, and does not input the generated amount of power for the individual distributed resources entering the abnormality or periodic inspection.

In addition, the collective generator bid processing method according to an embodiment of the present invention may perform initial bidding (S230)

Referring to FIG. 9, step S230 may first calculate the power generation prediction amount (S231).

That is, in step S231, basic data is input to predict the power generation amount to be generated in the set generator, and the power generation amount can be calculated using the power generation amount calculation algorithm.

At this time, the basic data on the power generation amount may include the aggregate generator monitoring information, the currently monitored power generation amount information of the small scale distributed resources, and the maximum / minimum power generation amount information inputted at the collective power generation contract.

At this time, in step S231, an operation mode for calculating the bid amount of the aggregate generator may be selected and a bid amount based on the input power generation amount may be calculated.

In this case, the bid amount may be calculated using the three operation modes in step S231.

The three operation modes for calculating the bid amount may include a direct input mode, an automatic input mode, and an automatic correction mode.

Also, the bid input and correction mode can be input as setting information when configuring the aggregate generator, and the bid amount input operation method can be distinguished at the time of calculating the bid amount.

At this time, in step S231, the small-scale distributed resource holder can directly input the desired sales power capacity (power generation amount) and the price using the direct input mode.

At this time, step S231 can automatically calculate the sales power capacity (power generation amount) by using the automatic input mode and the automatic correction mode.

In this case, when the automatic input mode is selected as the operation mode, the method of calculating the sales power capacity may be different depending on whether there is a time-dependent power generation amount in the past generation amount information of the month or not.

At this time, in step S231, in the automatic input mode, if the past generation amount information of the month exists, the day interval of one year is divided into the spring, summer, autumn and winter seasons, Can be calculated.

At this time, in step S231, in the automatic input mode, the average power generation amount per time can be inputted in the maximum section of the power generation section.

At this time, in step S231, in the automatic input mode, the power generation amount can be input as '0' in the stop section during the power generation section.

In this case, in step S231, a value obtained by multiplying the average generation amount per hour and the weighting coefficient of the season-based weighting factor in the minimum interval of the generation interval in the automatic input mode may be input.

In this case, in step S231, in the automatic input mode, when the past generation amount information does not exist, the average generation amount by time can be calculated from the intermediate value between the maximum generation capacity and the minimum generation capacity, have.

At this time, in step S231, in the automatic input mode, in the automatic input mode, when the past generation amount information does not exist, it is determined from the intermediate value between the maximum generation capacity and the minimum generation capacity, Average power generation can be calculated.

At this time, the calculated average generation amount per time may be a provisional value.

At this time, as the history information of the input power generation amount accumulates, the accuracy of the initial amount of bidding which calculates the average generation amount of the past generation amount information may be increased.

In addition, the initial bid amount may be inputted in step S230 (S232).

That is, the bid amount per time can be corrected in step S232.

In this case, the step S232 may calculate a weighting coefficient for correcting the bid amount by time.

At this time, the step S232 may store weather information (for example, irradiation amount information and weather information) for calculating the weight, or weather information may be provided from the server providing the weather information.

At this time, the step S232 may calculate at least one weighting coefficient among the season-based weighting, the irradiation-based weighting, and the weather-based weighting based on the weather information.

In this case, the step S232 may calculate the weight coefficient for correcting the average power generation amount by time and provide the weight coefficient to the bid processor 130. [

At this time, the step S232 may calculate the season-based weight, the irradiation-based weight, and the time-based weight based on the season, the irradiation amount, and the time.

For example, step S232 may calculate a weighting factor of the season-based weight for the season to which the bid wish date belongs.

At this time, as shown in Table 1, step S232 can select a weight coefficient of the season-based weight that represents the corresponding season range.

For example, the bid weight calculation unit 140 may select a weight coefficient of a season to which a requested weight calculation request (for example, a pre-bid hope date and a bid favor date) requested by the bid processor 130 belongs.

In addition, the step S232 can calculate the weighting coefficient of the insolation-based weighting based on the average horizontal-plane insolation for a pre-set previous period (for example, one week) before the bid request.

At this time, in step S232, as shown in Table 2, the weight coefficient of the insolation-based weight that represents the corresponding insolation range can be selected.

For example, if the adjustment value (horizontal solar irradiance (unit: kWh / m2 / d)) determined based on the average horizontal surface irradiation amount per week before the bid date is less than 1.0, 0.9, 2 1.0 if it is less than 3, less than 4, less than 4, 1.1, more than 4.0, less than 5.0, 1.2) can be calculated by the weighting coefficient.

In addition, the step S232 may calculate the time-based weight to correct the accuracy of the irradiation-based weight.

In this case, as shown in Table 3, the weighting factor of the time-based weighting value may be calculated by referring to the weather information in step S232.

At this time, the step S232 may select the weight coefficient of the time zone-based weight that represents the time range of the maximum insolation time zone and the lowest insolation time zone of the weight calculation request day.

At this time, the step S232 can correct the insolation-based weighting coefficient using the weighting factor of the maximum insolation time zone and the lowest insolation time zone.

For example, in step S232, the average value or the median value of the weight coefficient of the maximum insolation time zone and the lowest insolation time zone may be multiplied by the weight coefficient of the insolation based weight to correct the insolation based weight.

For example, in step S232, it is possible to select a weighting coefficient representative of the time zone in which the irradiation amount is the largest and the time period in which the irradiation amount is the largest.

In this case, in step S232, it is possible to calculate the bid amount by time in which the average power generation amount is corrected by using the weight coefficient.

In this case, the calculated bid amount per time may be input as the initial bid amount in step S232.

That is, the initial bid amount can be calculated using the season-based weighting value and the weighting coefficient of the irradiation-based weighting based on the average power generation amount per hour and the weather information of the day before the bid.

Also, step S230 may generate an initial bid (S233).

That is, the step S233 may generate a bid book for collecting the bid amount information of the small-scale distributed resources configured in the aggregation power plant and transmitting the information to the power exchange.

For example, an initial bid may be created by 9:00 am on the day prior to the bid, D-1, and may be registered on the exchange by 10:00 am on D-1.

In addition, the step S230 may store the bid information and the bid book (S234).

That is, the step S234 may store the predicted power generation amount, the set power generator state, and the predicted power generation amount generated every time for the small-scale distributed resources.

At this time, the expected generation supply amount may correspond to the difference in the amount of power required in the small-scale distributed resource in the predicted generation amount.

At this time, step S234 may store an initial bid for each aggregate power generation plant.

At this time, step S234 may provide a method of calculating a statistical bid amount, bidding past generation information, and storing an initial bid for the calculated initial bid amount.

In addition, the collective generator bid processing method according to an embodiment of the present invention may perform variable bidding (S240).

That is, the step S240 may calculate the variable bid amount for the initial bid amount using the automatic correction mode.

At this time, in step S240, when calculating the variable bid amount, the weight coefficient of the weather-based weighting value and the irradiation-based weighting value may be calculated in order to increase the accuracy of the bid amount information.

Referring to FIG. 10, step S240 may first calculate a weight based on the weather information analysis (S241).

That is, the step S241 may calculate the weather-based weight by analyzing the weather information.

For example, step S241 may select a weighting factor of the weather-based weighting that represents the weather range, as described in Table 4.

In addition, the step S240 may calculate the weight based on the irradiation amount information analysis (S242).

In other words, the step S242 may calculate the irradiation-based weight by analyzing the irradiation amount information.

For example, the bid weight calculation unit 140 may calculate the insolation based weight based on Tables 2 and 3.

In addition, the variable bid amount can be calculated in step S240 (S243).

That is, in step S243, the initial bid amount can be corrected using the weather-based weighting value and the irradiation-based weighting value.

At this time, in step S243, the variable bid amount in which the initial bid amount is corrected can be calculated using the weather-based weight based on the weather information of the bid requested date and the weight coefficient of the irradiation-based weight.

At this time, step S243 may provide the bid amount calculation unit 131 with the weather-based weight of the bid requested date and the weight coefficient of the irradiation-based weight for calculation of the variable bid amount.

At this time, in step S243, after the closing of the bid, it is possible to calculate whether there is an increase / decrease of power generation amount that can change the initial bid amount by analyzing weather information and irradiation amount information of the bid desired date.

For example, in the step S243, if the set generator has a time longer than one hour of power generation, the variable bid amount can be calculated only once.

In addition, the variable bid amount may be input in step S240 (S244).

That is, in step S244, the variable bid amount in which the initial bid amount is corrected can be inputted.

In addition, step S240 may generate a variable bid (S245).

That is, step S245 can regenerate the variable bid using the calibrated variable bid amount and forward the final bid to the regenerated variable bid.

For example, in step S245, when a variation with respect to the bid amount is expected one hour before the generation instruction is given, the variable bid amount for the variable bid amount in which the product of the weather based weight and the insolation based weight is calculated in the initial bid amount And transmit the final bid to the power exchange for regenerated variable bid amount.

In addition, the step S240 may store the bid information and the bid book (S246).

That is, step S246 may store the predicted generation amount corrected by the variable bidding, the aggregate generator state, and the estimated generation supply amount.

At this time, step S246 may store the variable bid regenerated by the variable bidding for each aggregate power plant.

At this time, the step S246 may provide a method of calculating a statistical bid amount and a past generation amount information, and store the calculated bid amount.

At this time, in step S246, the variable bid amount is input to the aggregation profile generation unit 112 to update the bid amount of each small-scale distributed resource by season and by time.

11 is a diagram illustrating an operation mode selection interface for calculating a bid amount of an aggregate generator according to an embodiment of the present invention.

Referring to Fig. 11, it can be seen that the user interface is able to select the power generation bidding operation mode for power generation bidding of the aggregate generator.

The bid amount calculation mode and the bid amount calculation method according to an embodiment of the present invention may include a direct input mode, an automatic input mode, and an automatic correction mode.

In direct input mode, it is possible to manually input desired power generation capacity and price directly from time to time by a small power generation resource holder.

The automatic input mode is a method of automatically determining the amount of power generation, and it is possible to input the amount of electricity generated by the time, which is obtained from the past generation amount information, by dividing one year into four seasons of spring, summer, autumn and winter.

The static method calculation algorithm can distinguish the power generation section in the order of stop section, minimum section, maximum section, minimum section, and stop section for 24 hours.

In this case, the static method calculation algorithm divides the day interval of one year into spring, summer, autumn, winter in the presence of the previous generation amount information of the month, and calculates the average power generation amount Can be calculated.

At this time, the static method calculation algorithm can input the average power generation amount per time in the maximum section of the power generation section.

At this time, the static method calculation algorithm can input the power generation amount as '0' in the stop section during the power generation section.

In this case, the static method calculation algorithm can input a value obtained by multiplying the average generation amount per hour and the weighting coefficient of the season-based weighting in the minimum section of the power generation section.

Automatic weather prediction-based calculation algorithms can include a season-based weighting scheme, an insolation-based weighting scheme, and a weather-based weighting scheme.

The seasonal based weighting method can correct the bid amount by time by multiplying the bid amount (order quantity) per time by the weighting coefficient of the season based weighting.

The irradiation amount based weighting method can correct the bid amount per time by multiplying the bid amount per time by the weighting coefficient of the irradiation amount based weighting.

The weather-based weighting method can correct the bid amount by time by multiplying the weighting coefficient of the weather-based weighting by the bid amount per time based on tomorrow's weather information.

The season - based weighting method and the irradiation - based weighting method can be used to calculate the initial input amount.

The weather based weighting method and the irradiation based weighting method can be used to calculate the variable bid amount by correcting the initial bid amount.

The weighting factor may be a value shown in FIG. 11, but the present invention is not limited thereto and may be set differently according to user settings.

12 is a block diagram illustrating a computer system in accordance with an embodiment of the present invention.

Referring to FIG. 12, an aggregate generator bid processor 100 according to an embodiment of the present invention may be implemented in a computer system 1100 such as a computer-readable recording medium. 12, the computer system 1100 includes one or more processors 1110, a memory 1130, a user interface input device 1140, a user interface output device 1150, And storage 1160. In addition, the computer system 1100 may further include a network interface 1170 connected to the network 1180. Processor 1110 may be a central processing unit or a semiconductor device that executes memory 1130 or processing instructions stored in storage 1160. Memory 1130 and storage 1160 can be various types of volatile or non-volatile storage media. For example, the memory may include ROM 1131 or RAM 1132.

As described above, the apparatus and method for collective tender bidding process according to the present invention are not limited to the configuration and method of the embodiments described above, All or a part of the above-described elements may be selectively combined.

100: Set generator bid processor
110: set generator configuration management unit 111:
112: aggregation profile generation unit 120:
121: Individual generator status collecting unit 122: Collector status inquiry unit
123: Power Generation Input Unit 130:
131: bid amount calculation unit 132: bid number generation unit
133: bid history storage unit 140: bid weight calculation unit
150: auction statistics calculation unit 151: statistical calculation unit
152: Statistical information storage section
1100: Computer system 1110: Processor
1120: bus 1130: memory
1131: ROM 1132: RAM
1140: User interface input device
1150: User interface output device
1160: Storage 1170: Network Interface
1180: Network

Claims (20)

An aggregate generator configuration manager for generating aggregate profiles by configuring distributed resources for participation in the electric power market as aggregate generators;
A monitoring unit monitoring the distributed resources to reconstruct the aggregate profile;
A bid processor for calculating a bid amount of the aggregate generator using the aggregate profile; And
A bid weight calculation unit for calculating a weight coefficient based on weather information to correct the bid amount and providing the calculated weight coefficient to the bid processor;
Wherein the bid generator is a bid generator. The method according to claim 1,
The bid weight calculation unit
Based on the weather information, a weight coefficient of at least one of a season-based weight, a solar-radiation-based weight, and a weather-based weight. The method of claim 2,
The bid weight calculation unit
Based weighting value based on the average horizontal-plane irradiation amount for a predetermined period from the weight calculation request date. The method of claim 3,
The bid weight calculation unit
Based weighting value by referring to the meteorological information and calculating a weighting coefficient of a time-based weighting value from the irradiation amount-by-time information of the weight calculation request day. The method of claim 2,
The bid processor
Calculates an initial bid amount based on weather information on a day before a bid for a bid, calculates a variable bid amount in which the initial bid amount is corrected based on weather information of a bid desired date, and calculates the bid amount Bid processor. The method of claim 5,
The bid processor
Wherein the average generation amount is calculated for each season by using the past generation amount information of the pre-stored set generators. The method of claim 6,
The bid processor
Wherein when the past generation amount information does not exist, the average generation amount by time is calculated on the basis of the maximum generation capacity and the minimum generation capacity of the distributed resources configured in the aggregate generator. The method of claim 7,
The bid processor
Wherein the initial bid amount is calculated using a season-based weighting value and a weighting factor of the irradiation-based weighting based on the time-based average generation amount and the weather information of the pre-bid day. The method of claim 8,
The bid processor
And calculates the variable bid amount in which the initial bid amount is corrected by using a weather-based weighting value based on weather information of the bid requested date and a weighting factor of the irradiation-based weighting value. The method of claim 9,
The bid processor
Generating an initial bid for the initial bid amount, and regenerating a variable bid for the variable bid amount to generate a final bid for the aggregate generator. An aggregate generator bid processing method using an aggregate generator bid processing device,
Generating aggregate profiles by constructing distributed resources for participation in the power market as aggregate generators;
Monitoring the distributed resources to reconstruct the aggregate profile; And
Calculating a bid amount of the aggregate generator using the aggregate profile;
Wherein the bid generator is a bid generator. The method of claim 11,
The step of calculating the bid amount
Based on the weather information, calculates at least one weight coefficient among a season-based weight, an irradiation-based weight, and a weather-based weight. The method of claim 12,
The step of calculating the bid amount
Calculating a weight coefficient of the solar radiation-based weight based on an average horizontal surface solar radiation amount for a predetermined previous period from a weight calculation request date. 14. The method of claim 13,
The step of calculating the bid amount
Based weighting value is calculated by calculating a weighting factor of a time-domain-based weighting value from the irradiation amount-by-time information of the weight calculation request day with reference to the weather information, and correcting the irradiation-amount weighting value. The method of claim 12,
The step of calculating the bid amount
Calculates an initial bid amount based on weather information on a day before a bid for a bid, calculates a variable bid amount in which the initial bid amount is corrected based on weather information of a bid desired date, and calculates the bid amount How bidding works. 16. The method of claim 15,
The step of calculating the bid amount
Wherein the average generation amount is calculated for each season by using the past generation amount information of the pre-stored set generator. 18. The method of claim 16,
The step of calculating the bid amount
Wherein when the past generation amount information does not exist, the average generation amount by time is calculated on the basis of the maximum generation capacity and the minimum generation capacity of the distributed resources configured in the aggregate generator. 18. The method of claim 17,
The step of calculating the bid amount
Wherein the initial bidding amount is calculated using a season-based weighting factor and a weighting factor of the irradiation-based weighting based on the average generation amount by time and the weather information of the pre-bidding day. 19. The method of claim 18,
The step of calculating the bid amount
Wherein the variable bid amount is calculated by correcting the initial bid amount using a weather-based weighting value based on the weather information of the bid requested date and a weighting factor of the irradiation-based weighting value. The method of claim 19,
The step of calculating the bid amount
Generating an initial bid for the initial bid amount, and regenerating the variable bid for the variable bid amount to generate a final bid for the aggregate generator.

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