KR20230064029A - Power reduction management system and method - Google Patents

Abstract

The present invention relates to a system and a method for power reduction management, capable of properly allocating a reducible volume by more precisely predicting power usage for a plurality of participating companies. To achieve a purpose, the system includes: a power information reception unit receiving power information of a plurality of participating companies; a power prediction unit calculating predicted power usage for each of the participating companies by using the power information received by the power information reception unit; and a reduced volume calculation unit calculating a reducible volume by using the predicted power usage. Therefore, in accordance with the present invention, the demand-response system precisely calculates the reducible volume for the plurality of participating companies, and properly allocates the reducible volume depending on situations, thereby having an advantage of stably achieving a reduction goal even in an unexpected situation.

Description

Power reduction management system and power reduction management method {Power reduction management system and method}

The present invention relates to a power reduction management system and a power reduction management method. It is about.

When the demand for power surges due to abnormal weather such as heat waves, the power supply reserve ratio (the ratio of additional power supply to the maximum power demand) plummets, which can lead to blackouts.

In order to solve this problem, it is a stable solution to increase power supply by building a new power plant, but new problems of environmental pollution caused by the cost of building a new power plant and the operation of a power plant are newly generated.

As another alternative, if peak load and power consumption are reduced through power demand management, the new construction capacity of power plants and transmission and distribution facilities can be reduced.

Accordingly, it is possible to promote the stabilization of power supply and demand by recruiting participating companies that understand power demand management and, if necessary, reducing usage by a predetermined amount of power reduction.

According to Registered Patent No. 10-1945705 (Power Demand Resource Discovery System and Demand Resource Discovery Method), receiving condition information for matching potential participating customers from a demand management service provider terminal; Receiving power status information of each potential participating customer from several potential participating customer terminals; Selecting a potential participating customer terminal to be matched with a demand management service provider through comparison of condition information and power status information; and matching and storing the information of the selected potential participating customer with the information of the demand management service provider.

According to this, there is an advantage of efficiently matching jam material demand resources and demand management business operators.

However, since the reduction capacity of each demand resource is determined in a rule-of-thumb way, it is impossible to properly reduce it when necessary, so there is a problem that the target cannot be achieved.

The present invention is intended to solve the above problems, and to prevent unexpected damages from occurring in advance by precisely calculating the reduceable capacity of each participating company.

In addition, it is to provide a power reduction management system that can stably achieve reduction targets even in unexpected situations by accurately calculating the reduction capacity of a plurality of participating companies and appropriately distributing the reduction capacity according to the situation.

In order to achieve the above object, the present invention provides a power information receiving unit for receiving power information of a plurality of participating companies; a power predicting unit for calculating predicted power consumption of each participating company using the power information received by the power information receiving unit; and a reduction capacity calculation unit configured to calculate a reduction capacity that can be reduced using the predicted power consumption.

Preferably, the power information receiving unit receives power information at a predetermined measurement time, and the power predicting unit predicts the predicted power consumption using time, weather, and power consumption data accumulated by the power information receiving unit when the prediction execution time is reached. do.

The reduction capacity calculation unit calculates the average of electricity consumption excluding the maximum or minimum electricity consumption during a certain period as the average electricity load, and calculates the value obtained by multiplying the value obtained by subtracting the predicted electricity consumption from the average electricity load by the reduction time as the reduction capacity It is desirable to do

The power reduction management system further includes a conformance verification unit that determines whether a participating company is suitable using the power information received from the power information receiver, and the conformity verification unit is based on the difference between the average electric load and the amount of power consumption for each specific time. It is desirable to determine the suitability by doing so.

The power reduction management system further includes a reduction amount designation unit that allocates the reduction capacity of each participating company, and the reduction amount designation unit calculates an average of the reduction capacity for each participating company by time period and stores the average reduction capacity, and stores the average reduction capacity for each participating company. It is desirable to calculate the total reduction capacity by summing up the average reduction capacity of participating companies.

According to the present invention, by accurately calculating the reduction capacity of a plurality of participating companies in the demand response system and appropriately distributing the reduction capacity according to the situation, there is an advantage in achieving the reduction target stably even in an unexpected situation.

In addition, it automatically and quickly informs whether the participating companies are suitable, and quickly informs the amount that can be settled through the predicted reduction amount, which has the advantage of arousing the interest of the participating companies.

1 is a configuration diagram showing the configuration of a power reduction management system according to the present invention;
Figure 2 is an explanatory diagram for explaining the algorithm by the power predictor of Figure 1;
Figure 3 is an explanatory diagram for explaining the function of the reduction capacity designation unit of Figure 1;

The configuration and operation of specific embodiments according to the present invention will be described in detail with reference to the drawings.

Referring to FIG. 1, the power reduction management system 100 according to the present invention includes a power information receiver 110, a power estimation unit 130, a reduction capacity calculation unit 150, a suitability verification unit 170, and a reduction amount designation unit. (190).

The power information receiving unit 110 serves to continuously receive basic data capable of predicting power consumption such as power information, climate information, and additional information from the outside. The power information may include time, date, and power consumption data, and the climate information may include data such as temperature, humidity, wind speed, precipitation, and amount of sunlight. In addition, the additional information may include daytime or nighttime information, weekday or holiday information, and the like.

The power information may be received directly from participating companies with which contracts have been made in advance or may be provided from Korea Electric Power Corporation (KEPCO).

The power predictor 130 serves to generate predicted power consumption for predicting future power consumption of each participating company using the data received by the power information receiver 110 .

The power predicting unit 130 can predict the predicted power consumption by applying a recurrent neural network algorithm such as LSTM or GRU. When learning, the input data is power consumption for the previous 5 days, temperature, precipitation, wind speed, humidity, sunshine and It can be set to the same 24-hour weather data and holiday data.

To this end, the power estimation unit 130 first modifies the time and unit of the data collected in the data pre-processing unit according to a predetermined format, merges them, and processes them into data that can be immediately utilized in the recurrent neural network. Preferably, the data pre-processing unit merges the collected data into a matrix form in which weather data, date data, and power data are columns and time is a row. In addition, if the collected data exceeds the statistical outlier, it is treated as an outlier and interpolated using spline interpolation.

That is, referring to FIG. 2, the power prediction unit 130 generates an input vector X _t using data such as previous power consumption, temperature, precipitation, wind speed, humidity, and sunlight during learning, and output vector h _t is created. The output vector h _t may include predicted power consumption, predicted temperature, predicted precipitation, and the like.

The power information receiving unit 110 may receive power information, climate information, and additional information at regular measurement time intervals (eg, 15 minutes), and the power estimation unit 130 accumulates the measurement time and executes prediction. When the time is reached, prediction of the predicted power consumption may be performed using the accumulated time, weather, and power consumption data.

For example, if the prediction execution time is set to 24 hours and the accumulated data is set to 48 hours, the power prediction unit performs prediction learning again after 24 hours from the previous prediction execution time. Learning is performed using the accumulated data of 48 hours.

The reduction capacity calculation unit 150 calculates the reduction capacity, which is the amount of power that can be reduced for each participating company, using the predicted power consumption predicted by the power estimation unit 130.

Specifically, the reduction capacity calculation unit calculates the average electric load AL by using the power consumption data of a certain period (eg, 5 days). Some of the power consumption data for calculating the average electric load (AL) It consists of past power consumption data, and the remaining part is composed of predicted power consumption predicted by the power estimation unit.

For example, if the average electric load is calculated using power consumption data for 5 days, the previous 3 days are composed of past power consumption data, and the following 2 days are composed of predicted power consumption predicted by the power prediction unit. can do.

When such power consumption data is configured, the reduction capacity calculation unit may exclude extreme data as outliers. For example, one minimum value or one maximum value and one minimum value may be excluded from the configured power consumption data.

The reduction capacity calculation unit calculates the average of the remaining power consumption data after being excluded in this way, calculates it as an average electric load, and stores it.

In addition, the reduction capacity calculation unit calculates a value obtained by subtracting the predicted power consumption from the average electric load multiplied by the reduction time as the reduction capacity. At this time, in order to maximize the reduction capacity, the predicted power consumption may be calculated as 0.

The suitability verification unit 170 verifies whether or not it is possible to accurately calculate the reduction capacity for a company wishing to participate.

That is, the participating company installs a power meter capable of reading the amount of power consumed at regular intervals, and the power information such as the amount of power consumed through the reading is transmitted through the power information receiver of the power reduction management system.

The average electric load of the participating company is calculated using the power information received from the power information receiver of the conformance verification unit, and the average load error E is calculated using the difference between the calculated average electric load and the transmitted power consumption. That is, the E is calculated as follows.

Here, D is the date subject to verification, D(n) is the number of days subject to verification, d is the day belonging to date D, T is the time period subject to verification, T(n) is the number of time zones subject to verification, and t is the time belonging to T , AL _d,t is the average electric load at time t on day d, and L _d,t is the amount of power consumption at time t on day d.

The suitability verification unit 170 calculates the average load error E for a certain period of time, and when the value of E is equal to or less than a set value, it may be judged as suitable.

The reduction amount designation unit 190 serves to set the reduction capacity of each participating company and, if necessary, reset and distribute the reduction capacity of each participating company.

Specifically, the reduction amount designation department calculates the average reduction capacity for each time period of each participating company as the daily reduction capacity, calculates the average reduction capacity per day for a week, and sets it as the set reduction capacity of the participating company.

For example, referring to FIG. 3, if the participating companies are A, B, C, D, and E and each set reduction capacity is 300 kWh, 500 kWh, 400 kWh, 700 kWh, and 100 kWh, the total set reduction capacity is 2,000 kWh. When the reduction instruction is received from the outside, the reduction amount confirmation unit 195 transmits a reduction amount confirmation signal for confirming the maximum reduction capacity that can be reduced to each participating company.

Upon receiving the reduction amount confirmation signal, each participating company inputs the maximum amount of reduction that can be reduced on a set date and time, and transmits it back to the power reduction management system. Then, the reduction amount designation unit 190 resets the reduction capacity of each participating company according to the received maximum reduction capacity of each participating company.

For example, the maximum reduction capacity of participating company A is 400 kWh, the maximum reduction capacity of participating company B is 550 kWh, the maximum reduction capacity of participating company C is 500 kWh, the maximum reduction capacity of participating company D is 500 kWh, and the maximum reduction capacity of participating company E is 500 kWh. If the capacity is received as 100 kWh, the reduction amount designation department first finds the sum of the maximum reduction capacity of each participating company. In the above example, the total maximum abatement capacity is calculated as 2,050 kWh.

In the reduction amount designation department, if the total maximum reduction capacity is equal to the total set reduction capacity, the actual reduction capacity of each participating company is reset to the received maximum reduction capacity. And, if the total maximum reduction capacity is greater than the total set reduction capacity, the reduction amount designation unit calculates the reduction factor of the participating company whose maximum reduction capacity is greater than the set reduction capacity.

The reduction factor is,

(maximum reduction capacity - set reduction capacity) / set reduction capacity

can be calculated as

For example, in the above example, the reduction factor of participating company A is (400 - 300) / 300 = 0.33, the reduction factor of participating company B is (550 - 500) / 500 = 0.1, and the reduction factor of participating company C is (500 - 400) / 400 = 0.25.

The reduction amount designation unit may reduce the maximum reduction capacity of the participating company having the largest reduction factor according to the total set capacity after arranging the reduction factors in order of size. In the above example, since participating company A has the largest reduction factor, the actual reduction capacity of participating company A is reset to 350 kWh, and the actual reduction capacity of the remaining participating companies is reset to the maximum reduction capacity.

If the total maximum reduction capacity is smaller than the total set reduction capacity, the average electricity load of each participating company is calculated on the date and time when the actual reduction is necessary, and the difference between the maximum reduction capacity is calculated from the average electricity load, and the difference is the largest. The actual reduction capacity is reset in the order of participating companies.

The settlement amount prediction unit 196 predicts the settlement amount to be received by each participating company and informs each participating company. The settlement amount includes a monthly basic settlement amount based on the set reduction capacity and an actual reduction settlement amount according to an external reduction instruction.

Although the above has been described with reference to the embodiments of the present invention, those skilled in the art can variously modify and modify the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be changed.

100: power reduction management system 110: power information receiver
130: power prediction unit 150: reduction capacity calculation unit
170: conformity verification unit 190: reduction amount designation unit
195: reduction amount confirmation unit 196: settlement amount prediction unit

Claims (5)

Power information receiving unit for receiving power information of a plurality of participating companies;
a power predicting unit for calculating predicted power consumption of each participating company using the power information received by the power information receiving unit; and
A power reduction management system configured to include a reduction capacity calculation unit that calculates a reduction capacity that can be reduced using the predicted power consumption.
According to claim 1,
The power information receiving unit receives power information at regular measurement times,
The power reduction management system, characterized in that the power prediction unit predicts the predicted power consumption using the time, weather and power consumption data accumulated by the power information receiver when the prediction execution time is reached.
According to claim 1,
The reduction capacity calculation unit calculates the average of electricity consumption excluding the maximum or minimum electricity consumption during a certain period as the average electricity load, and calculates the value obtained by multiplying the value obtained by subtracting the predicted electricity consumption from the average electricity load by the reduction time as the reduction capacity A power reduction management system characterized in that for doing. According to claim 3,
The power reduction management system further includes a conformance verification unit that determines whether the participating company is suitable using the power information received from the power information receiver,
The suitability verification unit,
A power reduction management system characterized in that it determines whether or not it is suitable based on the difference between the average electric load and the amount of power consumption for each specific time.
According to claim 3,
The power reduction management system further includes a reduction amount designation unit that allocates the reduction capacity of each participating company,
The reduction amount designation unit calculates the average reduction capacity for each time period of each participating company, stores the average reduction capacity, and calculates the total reduction capacity by summing up the average reduction capacity of each participating company. system.

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