KR20130020857A - System and method for managing new renewable energy - Google Patents

Abstract

PURPOSE: A management system of new regeneration energy and a method thereof are provided to accurately predict the output of the new regeneration energy of a target date using at least one selected from the target date, the temperature of the target date, an amount of solar radiation of the target date, and the wind speed of the target date. CONSTITUTION: A load amount estimating part(220) selects a first similarity date among past dates. The load amount estimating part estimates the load amount of the first similarity date as the load amount of a target date. An energy output estimating part(230) selects a second similarity date by the type of new regeneration energy. The energy output estimating part estimates the new regeneration energy output of the second similarity date as the new regeneration energy output of the target date. An electricity generation plan establishment part(240) establishes the development plan of the target date. [Reference numerals] (210) Information collecting part; (220) Load amount estimating part; (230) Energy output estimating part; (240) Electricity generation plan establishment part; (250) Database; (260) Information obtaining part; (270) Alarm generating part; (280) Information display part; (400) First estimating part; (500) Second estimating part

Description

Renewable Energy Management System and Method {System and Method for Managing New Renewable Energy}

The present invention relates to an energy management system, and more particularly to a renewable energy management system.

Recently, interest in New Renewable Energy is rapidly increasing due to various reasons, such as high oil prices, depletion of fossil fuels such as coal and oil, or regulation of greenhouse gas emissions due to global warming.

Here, renewable energy is a term that combines new energy and renewable energy, and refers to energy used by converting existing fossil fuels or converting sunlight, water, precipitation, and bioorganisms into renewable energy. New energy includes fuel cells and hydrogen energy, and renewable energy includes solar, bio, wind, tidal, hydro, or geothermal.

In particular, as new renewable energy is being used in new concept power grids such as the smart grid, the field of use is gradually expanding and most of the energy resources are dependent on fossil fuels. As a result, research on the efficient management of renewable energy is being actively conducted.

However, since these renewable energy is energy generated using natural environment or climatic conditions such as solar, bio, wind, tidal, hydro, or geothermal, the amount of production is often changed according to the natural environment or climatic conditions. Compared to coal-fired power generation or nuclear power generation, there is a problem in that it is more difficult to control the production and establish the power generation plan according to the production.

SUMMARY OF THE INVENTION The present invention has been made in an effort to provide a renewable energy management system and a management method capable of improving the prediction accuracy of the load on the target date and the renewable energy production amount.

Another object of the present invention is to provide a renewable energy management system and method capable of establishing a power generation plan based on the production amount of renewable energy on a target date and the load on the target date.

Renewable energy management system according to an aspect of the present invention for achieving the above object, by using a target date and the temperature of the target date to select a first similar date from the past dates before the target date, A load prediction unit for predicting a load of a first similar date as the load of the target date; A second similar date is selected for each type of renewable energy using at least one of the target date, the wind speed of the target date, the solar radiation amount of the target date, and the temperature of the target date, and the second similar date is selected for each type of the renewable energy. An energy production prediction unit predicting the renewable energy production amount of the second similar date as the renewable energy production amount of the target date; And a power generation plan establishment unit for establishing a power generation plan of the target date by using the load amount of the target date and the renewable energy production amount of the target date.

Renewable energy management method according to another aspect of the present invention for achieving the above object, by using at least one of the target date, the wind speed of the target date, the solar radiation amount of the target date, and the temperature of the target date. Predicting a load of a date and a renewable energy production amount of the target date; Comparing the renewable energy production amount of the predicted target date with the load of the target date; And setting a power generation plan for performing at least one of operating a diesel energy production apparatus, discharging a battery energy storage device, and purchasing energy when the renewable energy production amount of the target date is less than the load amount of the target date. And if the renewable energy production amount of the date is greater than the target load, establishing a power generation plan for performing at least one of charging the battery energy storage device and selling renewable energy.

According to the present invention, the target date and the temperature of the target date are predicted using the target date, and at least one of the target date, the temperature of the target date, the solar radiation of the target date, and the wind speed of the target date is used. Since the production of renewable energy is predicted, it is possible to more accurately predict the load of the target date and the renewable energy production.

In addition, according to the present invention, it is possible to more accurately predict the load of the target date and the renewable energy production of the target date, there is an effect that the power generation plan can be established to optimize the energy supply for the load and the use of the produced energy. .

1 is a block diagram showing a network configuration to which a renewable energy management system according to an embodiment of the present invention is applied.
Figure 2 is a block diagram schematically showing the configuration of the renewable energy management system shown in FIG.
3 is a block diagram schematically illustrating a configuration of a load predicting unit illustrated in FIG. 2.
4 is a block diagram schematically illustrating a configuration of a first prediction unit illustrated in FIG. 2.
5 is a block diagram schematically illustrating a configuration of a second predictor illustrated in FIG. 2.
Figure 6 is a flowchart showing a renewable energy management method according to an embodiment of the present invention.
7 is a flowchart showing a load prediction method according to an embodiment of the present invention.
8 is a flowchart showing a method of predicting wind energy production amount according to an embodiment of the present invention.
9 is a flowchart showing a method of predicting solar energy production according to an embodiment of the present invention.

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

1 is a block diagram schematically illustrating a network configuration to which a renewable energy management system according to an embodiment of the present invention is applied.

As shown in FIG. 1, the renewable energy management system 100 is connected to a plurality of energy production apparatuses 110 to 130 and a battery energy storage device 140 to control the operation of each device 110 to 140. And manage.

In addition, the renewable energy management system 100 sells the energy produced by the plurality of energy production apparatus (110 ~ 130) through the power transaction server 150, or by purchasing energy through the power transaction server 150 Supply to the load 160.

In one embodiment, the plurality of energy production apparatus (110 ~ 130), the wind energy production apparatus 110 for producing energy using wind power, the solar energy production apparatus 120 for producing energy using solar heat, And it includes a diesel energy production apparatus 130 for producing energy using a diesel engine.

In addition, the battery energy storage system 140 may store wind energy, solar energy, or diesel energy in a battery or supply energy to the load.

Hereinafter, the configuration of the renewable energy management system 100 described above will be described in more detail with reference to FIGS. 2 to 5.

2 is a block diagram schematically showing the configuration of a renewable energy management system 100 according to an embodiment of the present invention.

As shown in FIG. 2, the renewable energy management system 100 according to an embodiment of the present invention includes an information collecting unit 210, a load predicting unit 220, an energy production predicting unit 230, and a power generation plan. Section 240, and database 250.

First, the information collection unit 210 collects at least one of the temperature of the target date, the wind speed of the target date, and the solar radiation amount of the target date in order to predict the load amount and the energy production amount. Provided at 230.

In one embodiment, the target date refers to a date for predicting the load or energy production, and may be a date one day after the current date.

In the above-described embodiment, the target date has been described as meaning a date for predicting the load or energy production, but in the modified embodiment, the target date may mean a time for predicting the load or energy production. . According to this embodiment, the target date may be a time after a predetermined value from the current time.

In the following description, it is assumed that the target date is a date concept for convenience of description.

In the above-described embodiment, the information collecting unit 210 is described as collecting at least one of the temperature, wind speed, and solar radiation of the target date, the energy production apparatus 110, 120 for producing renewable energy is tidal energy If the production unit is further included, the height of the wave of the target date may be additionally collected.

Meanwhile, the information collecting unit 210 may collect an energy price (or an electric power price) and provide the generated electricity generation plan establishment unit 240 to establish a power generation plan.

Next, the load amount prediction unit 220 estimates the load amount of the target date by using the target date and the temperature of the target date. Specifically, the load predicting unit 220 selects a first similar date among the past dates before the target date by using the target date and the temperature of the target date, and uses the selected first similar date as the load of the target date. Decide

To this end, the load estimator 220 includes a first date priority determiner 222, a first temperature priority determiner 224, and a first selector 226 as shown in FIG. 3. .

First, the first date priority determination unit 222 determines the date priority of the past dates based on the target date. In one embodiment, the first date priority determination unit 222 determines the date priority of the past dates included in the first section based on the target date as the first priority, and the date corresponding to the target date in the previous year. The date priority of the past dates included in the first section is determined as the second priority based on the date corresponding to the target date in the previous year, and the date priority of the past dates included in the second section can be determined as the third order. have.

Here, the first section may be determined to be m 14 days, and the second section may be determined to be m 21 days.

In the above-described embodiment, the first date priority determination unit 222 has been described as determining the date priority of the past date collectively regardless of the type of the target date in determining the date priority.

However, in a modified embodiment, the first date priority determination unit 222 determines the date priority in the same manner as described above when the target date is a working day in consideration of the type of the target date, If the target date is a holiday, the date priority can be determined according to the holiday process.

For example, when the target date is a holiday, the first date priority determiner 222 gives a priority to past holidays belonging to the first section based on the target date, based on the date corresponding to the target date in the previous year. In addition, the second priority may be given to past holidays included in the first section, and the third priority may be given to past holidays included in the second section based on the date corresponding to the target date in the previous year.

Next, the first temperature priority determination unit 224 determines the temperature priority of the past dates whose date priority is 1st to 3rd based on the temperature of the target date.

In one embodiment, the first temperature priority determining unit 224 determines the temperature priority of the past dates included in the first section as the first priority based on the temperature of the target date, the temperature priority is 1 The temperature priority of the past dates included in the second section based on the temperature of the target date among the past dates excluding the date is determined as the second priority, and the target among the past dates except the dates having the temperature priority 1 and 2 ranks. The temperature priority of the past dates included in the third section based on the temperature of the date may be determined as the third priority.

Here, the first section may be determined to be ㅁ 1 ℃, the second section may be determined to be ㅁ 2 ℃ days, the third section may be determined to ㅁ 3 ℃.

Next, the first selector 226 calculates a final priority value by calculating a product of a date priority value and a temperature priority value among the past dates, and calculates a past priority value having the lowest final priority value. Choose similar dates.

For example, as shown in Table 1 below, the first selector 226 calculates 1 as a final priority value of past dates having a temperature priority of 1 out of past dates having a date priority of 1; For example, 2 is calculated as a final priority value of past dates having a temperature priority of 2, and 3 as a final priority value of past dates having a temperature priority of 3 is calculated.

In addition, 2 is calculated as the final priority value of past dates having a temperature priority of 1 among the past dates having a date priority of 2, and 4 is set as a final priority value of past dates having a temperature priority of 2nd. 6 is calculated as the final priority value of past dates having a temperature priority of three.

In addition, 3 is calculated as the final priority value of past dates having a temperature priority of 1 among the past dates having a priority of 3, and 6 is set as a final priority value of past dates having a priority of 2 of the temperature priority. 9 is calculated as the final priority value of past dates having a temperature priority of three.

According to the above-described example, the first selector 226 selects a date having a temperature priority of 1st among the dates having a date priority of 1st as the first similar date.

In addition, the first selector 266 obtains the load amount of the first similar date from the database 250 and determines the obtained load amount of the first similar date as the load amount of the target date.

In one embodiment, when there are a plurality of selected first similar dates, the first selector 266 obtains a load amount of each first similar date from the database 250 and calculates an average value of the obtained load amounts. The calculated average value can be determined as the load on the target date.

Referring back to FIG. 2, the energy production predicting unit 230 selects a second similar date for each renewable energy type by using at least one of a target date, a temperature of the target date, insolation of the target date, and wind speed of the target date. The renewable energy output of the second similar date selected for each renewable energy type is predicted as the renewable energy output of the target date.

In one embodiment, the renewable energy may include at least one of wind energy and solar energy, the energy production prediction unit 230 is the first prediction unit 400 and the target for predicting the wind energy production of the target date It may include at least one of the second prediction unit 310 for predicting the solar energy production amount of the date.

The first prediction unit 400 predicts the wind energy production amount of the target date by using the target date and the wind speed of the target date. Specifically, the first prediction unit 400 selects a second similar date among the past dates before the target date by using the target date and the wind speed of the target date, and selects the wind energy output of the selected second similar date as the target date. Determined by wind energy production.

To this end, as illustrated in FIG. 4, the first predictor 400 includes a second date priority determiner 410, a wind speed index calculator 420, a wind speed priority determiner 430, and a second selection. A portion 440 is included.

First, the second date priority determination unit 410 determines the date priority of past dates based on the target date. In one embodiment, the second date priority determination unit 410 determines the date priority of the past dates included in the first section based on the target date as the first priority, the date corresponding to the target date in the previous year The date priority of the past dates included in the first section is determined as the second priority based on the date corresponding to the target date in the previous year, and the date priority of the past dates included in the second section can be determined as the third order. have.

Here, the first section may be determined to be m 14 days, and the second section may be determined to be m 21 days.

Next, the wind speed index calculation unit 420 may include a maximum wind speed value of the target date, a minimum wind speed value of the target date, a maximum wind speed value of the past dates, a minimum wind speed value of the target dates, a maximum wind speed normalization value, and a minimum wind speed normalization value. Calculate the wind speed index of each past date using. In this case, the wind speed index calculation unit 420 may calculate the wind speed index only for the past dates having a priority of 1 to 3 among the past dates.

In one embodiment, the wind speed index calculator 420 may calculate the wind speed index for each past date using Equation 1 below.

은 최대풍속 가중치를 나타내고,

는 최소풍속 가중치를 나타내며,

는 풍속인덱스 산출대상이 되는 과거날짜의 최대풍속을 나타내고,

은 상기 과거날짜의 최소풍속을 나타내며,

는 타겟날짜의 최대풍속을 나타내고,

은 타겟날짜의 최소풍속을 나타내며,

는 최대풍속정규화값을 나타내고,

은 최소풍속정규화값을 나타낸다.In Equation 1,

Represents the maximum wind speed weight,

Represents the minimum wind speed weight,

Indicates the maximum wind speed of the past date to be calculated for wind index,

Represents the minimum wind speed of the past date,

Indicates the maximum wind speed of the target date,

Indicates the minimum wind speed on the target date.

Represents the maximum wind speed normalization value,

Indicates the minimum wind speed normalization value.

Here, when the difference in the maximum wind speed of the target date of the past date is larger than the maximum wind speed normalization value, the corresponding past date is determined to be a date unrelated to the target date, and the difference in the minimum wind speed of the target date of the past date is the minimum wind speed normalization value. If greater, the past date is determined to be unrelated to the target date.

For example, the maximum wind speed of the past date that is the object of calculating the wind speed index is 20m / s, the minimum wind speed is 8m / s, the maximum wind speed of the target date is 25m / s, the minimum wind speed is 5m / s, the maximum wind normalization value and the minimum If the wind speed normalization value is 10 and the maximum wind speed weight and the minimum wind speed weight are 0.5, the wind speed index calculation unit 420 calculates 0.065 as the wind speed index of the past date which is the wind speed index calculation target using Equation 1.

Next, the wind speed priority determining unit 430 determines the wind speed priority of the past dates having a first priority of the first to third ranks according to the wind speed index calculated by the wind speed index calculation unit 420.

In one embodiment, the wind speed priority determination unit 430 may sequentially determine the wind speed priority of each past date in order of decreasing wind speed index among the past dates of the first priority to the third priority. That is, the wind speed index of the past date with the smallest wind index is ranked as 1st among the past dates with 1st to 3rd priority, and then the wind speed priority of the past date with the smallest wind index is 2nd. Next, the wind speed priority of the past with the smallest wind index can be determined as the third priority.

In another embodiment, the wind speed head position determination unit 430 determines the wind speed priority of the past dates included in the first section of the wind speed index based on the reference value as the first priority, and the wind speed priority is 1 rank. Among the past dates except the dates, the wind speed index of the past dates included in the second section is determined as the second priority based on the reference value, and among the past dates except the dates having the first and second wind speed priorities. Based on the reference value, the wind speed priority of the past dates included in the third section may be determined as the third priority.

Next, the second selector 440 calculates a final priority value by calculating a product of a date priority value and a wind speed priority value among the past dates, and calculates a past date having the lowest final priority value. Select as the second similar date for energy output forecasting.

Since the method of determining the final priority value for each past date is the same as the method described in the above-described first selector 226, a detailed description thereof will be omitted.

In addition, the second selector 440 obtains the wind energy yield of the second similar date from the database 250 and determines the obtained wind energy yield of the second similar date as the wind energy yield of the target date.

In one embodiment, when there are a plurality of selected second similar dates, the second selector 440 obtains the wind energy yield of each second similar date from the database 250, and averages the obtained wind energy yields. The average value calculated can be determined as the wind energy yield of the target date.

Referring back to FIG. 2, the second predictor 500 predicts the solar energy output of the target date using the target date, the temperature of the target date, and the solar radiation amount of the target date. Specifically, the second prediction unit 500 selects a second similar date among past dates before the target date by using the target date, the temperature of the target date, and the solar radiation amount of the target date, and the solar heat of the selected second similar date. The energy yield is determined by the solar energy yield on the target date.

To this end, as illustrated in FIG. 5, the second predictor 500 includes a third date priority determiner 510, a solar index calculator 520, a solar priority determiner 530, and a third selection. A portion 540 is included.

First, the third date priority determiner 510 determines date priorities of past dates based on the target date. In one embodiment, the third date priority determiner 510 determines the date priority of the past dates included in the first section based on the target date as the first priority, and the date corresponding to the target date in the previous year. The date priority of the past dates included in the first section is determined as the second priority based on the date corresponding to the target date in the previous year, and the date priority of the past dates included in the second section can be determined as the third order. have.

Here, the first section may be determined to be m 14 days, and the second section may be determined to be m 21 days.

Next, the solar index calculation unit 520, the solar radiation index of the target date, the maximum temperature of the target date, the solar radiation of the past date, the maximum temperature of the target date, the solar radiation normalization value, and the maximum temperature normalization value of each past date Calculate the solar index. In this case, the solar index calculator 520 may calculate the solar index only for past dates having a priority of 1 to 3 among the past dates.

In one embodiment, the solar index calculator 520 may calculate the solar index for each past date using Equation 1 below.

는 일사량 가중치를 나타내고,

는 최대온도 가중치를 나타내며,

는 태양열인덱스 산출 대상이 되는 과거날짜의 일사량을 나타내고,

은 타겟날짜의 일사량을 나타내며,

는 일사량정규화값을 나타내고,

는 상기 과거날짜의 최대온도을 나타내며,

는 타겟날짜의 최대온도을 나타내고,

는 최대온도정규화값을 나타낸다.In Equation 2,

Represents the solar radiation weight,

Represents the maximum temperature weight,

Represents the solar radiation of the past date for which the solar index is calculated,

Indicates the amount of solar radiation at the target date,

Denotes the solar radiation normalization value,

Represents the maximum temperature of the past date,

Indicates the maximum temperature of the target date,

Indicates the maximum temperature normalization value.

Here, when the difference in insolation of the target date of the past date is larger than the insolation normalization value, the corresponding past date is judged to be a date unrelated to the target date, and the difference in the maximum temperature of the target date of the past date is larger than the maximum temperature normalization value. In this case, the past date is determined to be a date that is not related to the target date.

For example, the amount of insolation of the past date which is the solar index calculation target is 932w / m ² , the maximum temperature is 27 ℃, the insolation of the target date is 1125w / m ² , the maximum temperature is 29 ℃, the solar radiation normalization value is 200, and the maximum When the temperature normalization value is 10 and the solar radiation weight value and the maximum temperature weight value are 0.5, the solar thermal index calculation unit 420 calculates 0.0470613 as the solar index of the past date which is the solar thermal index calculation target using Equation 2.

Next, the solar thermal priority determining unit 530 determines the solar thermal priority of the past dates having the first priority and the third priority according to the solar index calculated by the solar index calculator 520.

In one embodiment, the solar priority priority determiner 530 may sequentially determine the solar priority of each past date in the order of decreasing the solar index among the past dates of the first priority to the third priority. That is, the solar priority of the past date having the smallest solar index among the dates having the first priority or the third priority date as the first priority is determined as the first priority, and then the solar priority of the past date having the smallest solar index is 2 It can be determined by ranking, and then the solar priority of the smallest solar index in the past can be determined by three priority.

In another embodiment, the solar thermal head determination unit 530 determines the solar thermal priority of the past dates including the solar index in the first section based on the reference value as the first priority, and the solar thermal priority is 1st. Of the past dates excluding dates, the solar priority is determined as the second priority of the past dates included in the second interval based on the reference value, and among the past dates except the first and second solar priorities. Based on the reference value, the solar thermal priority of the past dates included in the solar index in the third section may be determined as the third priority.

Next, the third selector 540 calculates a final priority value by calculating a product of a date priority value and a solar thermal priority value among the past dates, and calculates the past date having the lowest final priority value. Select as the second similar date for energy output forecasting.

Since the method of determining the final priority value for each past date is the same as the method described in the above-described first selector 226, a detailed description thereof will be omitted.

In addition, the third selector 540 obtains the solar energy production amount of the second similar date from the database 250 and determines the obtained solar energy production amount of the second similar date as the solar energy production amount of the target date.

In one embodiment, when there are a plurality of selected second similar dates, the second selector 440 obtains the solar energy yield of each second similar date from the database 250, and averages the obtained solar energy yields. The average value calculated can be determined as the solar energy yield of the target date.

Referring back to FIG. 2, the power generation planner 240 may determine the load of the target date predicted by the load predictor 220 and the renewable energy output of the target date predicted by the energy output predictor 230. By using the development plan of the target date to establish, and controls the operation of each device (110 ~ 140) according to the established development plan.

In one embodiment, the power generation planning unit 240 may establish a power generation plan of the target date by comparing the renewable energy production amount of the target date with the load of the target date. Specifically, the power generation planning unit 240, if the renewable energy production amount of the target date is less than the load of the target date, because the renewable energy production can not meet the load amount only, diesel energy production apparatus to meet the load amount A power generation plan for performing at least one of the operation of the operation 130, the discharge of the battery energy storage device 140, and the purchase of energy may be established.

In addition, the power generation planning unit 420, when the renewable energy production amount of the target date is larger than the target date load, the charging of the battery energy storage device 140 to meet the load and utilize the surplus renewable energy remaining And a power generation plan that performs at least one of sales of renewable energy.

In the above-described embodiment, the power generation plan establishment unit 420 in the generation plan, to minimize the generation cost or operating cost of the diesel energy production device 130 and the battery energy storage device 140 or purchase energy A development plan can be developed to minimize costs.

For example, when the generation cost or operating cost of the diesel energy production device 130 and the battery energy storage device 140 is higher than the energy purchase cost, the power generation planning unit 420 generates the diesel energy production device 130 or battery energy. It is possible to establish a power generation plan for purchasing energy, not a power generation plan for discharging the storage device 140.

On the contrary, when the energy purchase cost is higher than the generation cost or the operation cost of the diesel energy production device 130 and the battery energy storage device 140, the power generation planning unit 420 may not be a power generation plan for purchasing energy but a diesel energy production device. A power generation plan for generating 130 or discharging the battery energy storage device 140 may be established.

In addition, when the energy sales cost is higher than the charging cost of the battery energy storage device 140, the power generation plan establishment unit 420 may establish a power generation plan for selling energy, not a power generation plan for charging the battery energy storage device 140. Can be.

On the contrary, if the energy sales cost is cheaper than the charging cost of the battery energy storage device 140, the power generation plan establishment unit 420 may establish a power generation plan for charging the battery energy storage device 140 instead of the power generation plan for selling energy. Can be.

When the operation of the diesel energy production device 130 is determined according to the power generation plan established by the power generation planner 420 described above, the power generation planner 420 of the diesel energy production device 130 becomes a target date. Generate the operation command and deliver to the diesel energy production apparatus (130).

In addition, when the charge and discharge of the battery energy storage device 140 is determined according to the power generation plan established by the power generation planner 420, the power generation planner 420 when the target date is the battery energy storage device 140 Generates a charge and discharge operation command of the battery energy storage device 140 and delivers.

In addition, when the purchase or sale of energy is determined according to the power generation plan established by the power generation plan establishment unit 420, the power generation plan establishment unit 420 generates an energy purchase order at the time when the energy price is the minimum power transaction server ( 150 or generate an energy sale command at the point of time when the energy price is the maximum, and transmit it to the power transaction server 150.

In addition, the power generation planning unit 420, each of which is transmitted from at least one of the wind energy production device 110, solar energy production device 120, diesel energy production device 130, and the battery energy storage device 140. The power generation plan may be modified according to a result of comparing the energy output of the device with the renewable energy output of the target date or the status information of each device 110 to 140.

For example, since the renewable energy production amount of the target date is the same as the load of the target date, the power generation planning unit 240 does not perform power generation or discharge of the battery energy storage device 140 using the diesel energy production device 130. Although the power generation plan is established, when the amount of energy produced by the wind energy production device 110 and the solar energy production device 120 is actually smaller than the predicted energy production amount at the target date, the power generation planning unit 420 generates diesel energy. The power generation plan may be modified to operate the production device 130 or to discharge the battery energy storage device 140.

As another example, since the renewable energy production amount of the target date is the same as the load of the target date, the power generation planning unit 240 does not perform power generation or discharge of the battery energy storage device 140 using the diesel energy production device 130. Although a power generation plan was established, an error such as a power failure occurred in one of the wind energy production device 110 and the solar energy production device 120, and thus, the amount of renewable energy produced at the target date was actually predicted. If smaller, the power generation planner 420 may modify the power generation plan to operate the diesel energy production device 130 or discharge the battery energy storage device 140.

Referring back to FIG. 2, the database 250 includes, for each day, the load of the date, the temperature of the date, the solar radiation of the date, the wind speed of the date, the wind energy production of the date, the solar energy production of the date, And status information of each device 110 to 140 at the corresponding date.

Meanwhile, as illustrated in FIG. 2, the renewable energy management system 100 according to the present invention may further include at least one of an information acquisition unit 260, an alarm generating unit 270, and an information display unit 280. Can be.

First, the information acquisition unit 260, each device (from at least one of the wind energy production device 110, solar energy production device 120, and diesel energy production device 130, and the battery energy storage device 140) ( Collect energy information of the 110 ~ 140 and the state information of each device (110 ~ 140). In this case, the state information of each device 110 to 140 refers to error occurrence information including an outage generated in each device 110 to 140.

The information acquisition unit 260 provides the power generation planner 240 and the alarm generator 270 to obtain the energy production amount of each device (110 to 140) and the state information of each device (110 to 140).

The alarm generating unit 270 may transmit each device 110 transmitted from at least one of the wind energy production device 110, the solar energy production device 120, the diesel energy production device 130, and the battery energy storage device 140. Monitoring the status information of the ~ 140, and monitoring the status information of each device (110 ~ 140), if it is determined that an error occurred in each device (110 ~ 140) generates an alarm.

Next, the information display unit 280, the load amount of the target date, the renewable energy production amount of the target date, the power generation plan of the target date, the amount of energy currently produced by each device (110 to 140), the cost analysis according to the power generation plan Status and current status of each device (110 ~ 140) is provided to the user in the form of a chart or grid.

As described above, the renewable energy management system 100 according to the present invention optimizes energy use by more accurately predicting not only the load amount on the target date but also the renewable energy production amount on the target date.

Hereinafter, the renewable energy management method according to the present invention will be described with reference to FIGS. 6 to 9.

6 is a flowchart illustrating a renewable energy management method according to an embodiment of the present invention. In one embodiment, the renewable energy management method illustrated in FIG. 6 may be performed by the renewable energy management system illustrated in FIG. 2.

Hereinafter, for convenience of explanation, it will be described on the assumption that each step included in the renewable energy management method is performed by the renewable energy management system.

First, the renewable energy management system predicts the load of the target date and the renewable energy production of the target date (S600). In one embodiment, the renewable energy may include wind energy generated using wind power and solar energy generated using solar heat.

At this time, the load of the target date can be predicted using the target date and the temperature of the target date, the wind energy yield of the target date can be predicted by using the target date and the wind speed of the target date, and the solar energy yield of the target date is The target date, the temperature of the target date, and the solar radiation amount of the target date may be used to predict the target date.

Hereinafter, a method of predicting the load of the target date, the wind energy yield of the target date, and the solar energy yield of the target date will be described in detail with reference to FIGS. 7 to 9.

7 is a flowchart showing a load estimation method according to an embodiment of the present invention.

First, the renewable energy management system determines the date priority of the past dates based on the target date (S700). In one embodiment, the renewable energy management system determines the date priority of the past dates included in the first section based on the target date as the first priority, the first section based on the date corresponding to the target date in the previous year The date priority of the past dates included in the second priority may be determined, and the date priority of the past dates included in the second section may be determined as the third priority based on the date corresponding to the target date in the previous year.

Here, the first section may be determined to be m 14 days, and the second section may be determined to be m 21 days.

In the above-described embodiment, the renewable energy management system has been described as determining the date priority of past dates collectively regardless of the type of target date in determining the date priority.

However, in a modified embodiment, the renewable energy management system determines the date priority in the same manner as described above when the target date is a working day in consideration of the type of the target date, and in the holiday process when the target date is a holiday. The date priority can be determined accordingly.

For example, if the target date is a holiday, the renewable energy management system gives a priority to past holidays that fall within the first section based on the target date, and within the first section based on the date corresponding to the target date in the previous year. The second priority may be given to the included holidays, and the third priority may be given to the previous holidays included in the second section based on the date corresponding to the target date in the previous year.

Next, the renewable energy management system determines the temperature priority of the past dates, the date priority is determined based on the temperature of the target date (S710). In one embodiment, the renewable energy management system determines the temperature priority of the past dates included in the first section based on the temperature of the target date as the first priority, and the past date excluding the dates having the first temperature priority. Among these, the temperature priority of the past dates included in the second section is determined as the second order based on the temperature of the target date, and based on the temperature of the target date among the past dates except for the ones having the first and second temperature priorities. As a result, the temperature priority of the past dates included in the third section may be determined as the third priority.

Here, the first section may be determined to be ㅁ 1 ℃, the second section may be determined to be ㅁ 2 ℃ days, the third section may be determined to ㅁ 3 ℃.

Next, the renewable energy management system selects the past date having the smallest product of the date priority value and the temperature priority value among the past dates as the first similar date (S720). Specifically, the renewable energy management system calculates the final priority value by calculating the product of the date priority value and the temperature priority value among the past dates, and uses the first similar date as the past date having the lowest final priority value. To select.

Finally, the renewable energy management system obtains the load of the first similar date selected in S720 from the database, and determines the acquired load of the first similar date as the load of the target date (S730).

8 is a flowchart showing a method of predicting wind energy yield according to an embodiment of the present invention.

First, the renewable energy management system determines the date priority of the past dates based on the target date (S800). Since the date priority determination method is the same as that described in S700 described above, a detailed description thereof will be omitted.

Next, for each past date whose date priority is determined in S800, the renewable energy management system includes the maximum wind speed value of the past date, the minimum wind speed value of the past date, the maximum wind speed value of the target date, the minimum wind speed value of the target date, The wind speed index of each past date is calculated using the maximum wind speed normalization value and the minimum wind speed normalization value (S810). At this time, the renewable energy management system may calculate the wind speed index of each past date using Equation 1 described above.

Next, the renewable energy management system determines the wind speed priority of each past date according to the wind speed index of each past date calculated in S810 (S820).

In one embodiment, the renewable energy management system may determine the wind speed priority of each past date sequentially in the order of smallest wind index among the past dates of the first priority to the third priority. That is, the wind speed index of the past date with the smallest wind index is ranked as 1st among the past dates with 1st to 3rd priority, and then the wind speed priority of the past date with the smallest wind index is 2nd. Next, the wind speed priority of the past with the smallest wind index can be determined as the third priority.

In another embodiment, the renewable energy management system determines, based on a reference value, the wind speed priority of the past dates in which the wind speed index is included in the first section as the first priority, and excludes the days where the wind speed priority is the first priority. Based on the reference value among the past dates, the wind speed index of the past dates included in the second section is determined as the second priority, and the reference value among the past dates except the ones having the first and second wind speed priorities is determined. As a reference, the wind speed priority of the past dates included in the third section may be determined as the third priority.

Next, the renewable energy management system selects the past date having the smallest product of the date priority value and the wind speed priority value among the past dates as the second similar date for the wind energy (S830). Specifically, the renewable energy management system calculates the final priority value by calculating the product of the date priority and the wind speed priority value among the past dates, and uses the second similar date as the past date having the lowest final priority value. To select.

Finally, the renewable energy management system obtains the wind energy yield of the second similar date selected in S830 from the database, and determines the wind energy yield of the second similar date as the wind energy yield of the target date (S840).

9 is a flowchart showing a method of predicting solar thermal energy yield according to an embodiment of the present invention.

First, the renewable energy management system determines the date priority of the past dates based on the target date (S900). Since the date priority determination method is the same as that described in S700 described above, a detailed description thereof will be omitted.

Next, for each past date whose date priority is determined in S900, the renewable energy management system includes the solar radiation of the past date, the maximum temperature of the past date, the solar radiation of the target date, the maximum temperature of the target date, the solar radiation normalization value, and the maximum. The solar thermal index of each past date is calculated using the temperature normalization value (S910). At this time, the renewable energy management system may calculate the solar index of each past date using the above equation (2).

Next, the renewable energy management system determines the solar thermal priority of each past date according to the solar index of each past date calculated in S910 (S920).

In an embodiment, the renewable energy management system may sequentially determine the solar priority of each past date in the order of decreasing solar index among the past dates having the first priority or the third priority. In other words, the solar priority of the past date with the smallest solar index is the first priority among the past dates of 1st to 3rd priority, and the solar priority of the past date with the smallest solar index is 2nd. Next, the solar thermal index can determine the solar priority of the smallest past date as the third priority.

In another embodiment, the renewable energy management system determines, based on a reference value, solar priorities of the past dates in which the solar index is included in the first interval as the first priority, and excludes the dates where the solar priority is the first priority. Based on the reference value among the past dates, the solar priority of the solar energy index included in the second interval is determined as the second priority, and the reference value among the past dates except the ones having the solar priority 1 and 2 ranks. As a reference, the solar priority of the past dates included in the third index may be determined as the third priority.

Next, the renewable energy management system selects the past date having the smallest product of the date priority value and the solar priority value among the past dates as the second similar date for the solar energy (S930). Specifically, the renewable energy management system calculates the final priority value by calculating the product of the date priority and the solar priority value among the past dates, and calculates the past date having the lowest final priority value as the second similar date. To select.

Finally, the renewable energy management system obtains the solar energy output of the second similar date selected in S930 from the database, and determines the solar energy production of the second similar date as the solar energy production of the target date (S940).

Referring back to FIG. 6, the renewable energy management system compares the renewable energy production amount on the target date with the load amount on the target date (S610).

As a result, if the renewable energy production amount of the target date is less than the target date load, the renewable energy management system generates power generating at least one of the operation of the diesel energy production equipment, the discharge of the battery energy storage device, and the purchase of energy. Establish a plan (S620).

In addition, when the comparison result in S610 that the renewable energy production amount of the target date is larger than the load of the target date, the renewable energy management system, the power generation plan to perform at least one of the charging of the battery energy storage device and the sale of renewable energy. To establish (S630).

On the other hand, although not shown in Figure 6, the renewable energy management system, the actual energy production amount and target of each device transmitted from at least one of the wind energy generator, solar energy generator, diesel energy generator, and battery energy storage device The method may further include modifying the power generation plan established in S630 according to the comparison result of the renewable energy output predicted from the date or the status information of each device.

In addition, the renewable energy management system monitors the status information of each device transmitted from at least one of the wind energy production device, solar energy production device, diesel energy production device, and battery energy storage device, and the monitoring results, each device The method may further include generating an alarm when an error occurs.

The renewable energy management method described above may also be implemented in the form of a program that can be performed using various computer means, wherein the program for performing the renewable energy management method is a hard disk, CD-ROM, DVD, ROM ( ROM), a RAM, or a flash memory, such as a computer readable recording medium.

Those skilled in the art to which the present invention pertains will understand that the above-described present invention can be implemented in other specific forms without changing the technical spirit or essential features.

Therefore, it is to be understood that the embodiments described above are exemplary in all respects and not restrictive. The scope of the present invention is defined by the appended claims rather than the detailed description and all changes or modifications derived from the meaning and scope of the claims and their equivalents are to be construed as being included within the scope of the present invention do.

100: renewable energy management system 110: wind energy production equipment
120: solar energy production device 130: diesel energy production device
140: battery energy storage device 150: power trading server
210: information collecting unit 220: load amount prediction unit
230: energy production prediction unit 240: power generation planning unit
250: information acquisition unit 260: alarm generation unit
270: information display unit

Claims (21)

A load prediction unit that selects a first similar date from among past dates before the target date by using a target date and a temperature of the target date, and predicts the load of the first similar date as the load of the target date;
A second similar date is selected for each type of renewable energy using at least one of the target date, the wind speed of the target date, the solar radiation amount of the target date, and the temperature of the target date, and the second similar date is selected for each type of the renewable energy. An energy production prediction unit predicting the renewable energy production amount of the second similar date as the renewable energy production amount of the target date; And
Renewable energy management system, characterized in that it comprises a power generation planning section for establishing a power generation plan of the target date by using the load amount of the target date and the renewable energy production amount of the target date. The method of claim 1,
The load amount prediction unit,
A first date priority determiner configured to determine date priorities of the past dates based on the target date;
A first temperature priority determiner configured to determine temperature priorities of the past dates based on the temperature of the target date; And
Selecting the past date having the smallest product of the date priority value and the temperature priority value among the past dates as the first similar date, and selecting the load amount of the first similar date as the load amount of the target date; Renewable energy management system comprising a first selection unit. The method of claim 1, wherein the energy yield prediction unit,
Selecting the second similar date for the wind energy by using the target date and the wind speed of the target date, and predicting the wind energy yield of the second similar date for the wind energy as the wind energy yield of the target date. Renewable energy management system comprising a prediction unit. The method of claim 1, wherein the energy yield prediction unit,
A second date priority determiner for determining date priorities of the past dates based on the target date;
A wind speed index calculator for calculating a wind speed index of the past date by using the maximum wind speed value, the minimum wind speed value, the maximum wind speed normalization value, and the minimum wind speed normalization value of the target date and the past dates;
A wind speed priority determining unit that determines wind speed priorities of the past dates according to the wind speed index; And
Selecting a past date having the smallest product of the date priority value and the wind speed priority value as the second similar date for wind energy, and the wind energy yield of the second similar date for the wind energy Renewable energy management system, characterized in that it comprises a second selection unit for determining the wind energy production amount of the target date. 5. The method of claim 4,
The wind speed index calculation unit,

To calculate the wind speed index of the past date,
In the above equation

Represents the maximum wind speed weight,

Represents the minimum wind speed weight,

Represents the maximum wind speed of the past date,

Represents the minimum wind speed of the past date,

Indicates the maximum wind speed of the target date,

Indicates the minimum wind speed on the target date.

Represents the maximum wind speed normalization value,

Renewable energy management system, characterized in that the minimum wind speed normalization value. The method of claim 1,
Selecting a second similar date for solar thermal energy using the target date, the solar radiation of the target date, and the temperature of the target date, and converting the solar energy production amount of the second similar date for the solar thermal energy into the solar heat of the target date. Renewable energy management system comprising a second prediction unit for predicting the energy production amount. The method of claim 1,
The energy yield prediction unit,
A third date priority determiner that determines date priorities of past dates based on the target date;
Solar index calculation unit for calculating the solar thermal index of the past date using the solar radiation of the target date and the past date, the maximum temperature, the solar radiation normalization value, and the maximum temperature normalization value
A solar thermal priority determining unit configured to determine solar thermal priority of the past dates according to the solar thermal index; And
The past date having the smallest product of the date priority value and the solar thermal priority value among the past dates is selected as the second similar date for the Taeyoung thermal energy, and the solar thermal energy of the second similar date for the solar energy Renewable energy management system, characterized in that it comprises a third selection unit for selecting the production amount of the solar energy of the target date. The method of claim 7, wherein
The solar index calculation unit,

To calculate the solar index of the past date,
In the above equation

Represents the solar radiation weight,

Represents the maximum temperature weight,

Represents the insolation of the past date,

Indicates the amount of solar radiation at the target date,

Denotes the solar radiation normalization value,

Represents the maximum temperature of the past date,

Indicates the maximum temperature of the target date,

Renewable energy management system, characterized in that the maximum temperature normalized value. The method of claim 1,
The power generation planning unit may include a power generation plan that performs at least one of operation of a diesel energy production device, discharge of a battery energy storage device, and purchase of energy when the amount of renewable energy production of the target date is smaller than the load of the target date. Renewable energy management system, characterized in that to establish. The method of claim 1,
The power generation planning unit, when the production amount of renewable energy of the target date is greater than the load of the target date, characterized in that for establishing a power generation plan to perform at least one of the charging of the battery energy storage device and the sale of renewable energy. Renewable energy management system. The method of claim 1,
The power generation planning unit may include the actual energy output of each device transmitted from at least one of the wind energy production device, the solar energy production device, the diesel energy production device, and the battery energy storage device, and the renewable energy output estimated at the target date. Renewable energy management system, characterized in that for modifying the power generation plan according to the comparison result or status information of each device. The method of claim 1,
Alarm generating unit for monitoring the status information of each device transmitted from at least one of the wind energy production device, solar energy production device, diesel energy production device, and the battery energy storage device, and generates an alarm when the error occurs in each device Renewable energy management system, characterized in that it further comprises. The method of claim 1,
And an information acquisition unit for collecting the actual energy output of each device and status information of each device from at least one of the wind energy production device, the solar energy production device, the diesel energy production device, and the battery energy storage device. Renewable Energy Management System. The method of claim 1,
Renewable energy management system, characterized in that it further comprises an information collector for collecting at least one of the temperature, wind speed, solar radiation, and the energy price of the target date. The method of claim 1,
Renewable energy management system, characterized in that it further comprises a database in which at least one of the load of each date, temperature, solar radiation, wind speed, wind energy production, and solar energy production is recorded for each date. Predicting the load of the target date and the renewable energy production of the target date using at least one of a target date, the wind speed of the target date, the solar radiation amount of the target date, and the temperature of the target date;
Comparing the renewable energy production amount of the predicted target date with the load of the target date; And
If the renewable energy production amount of the target date is less than the load of the target date, a power generation plan for performing at least one of operating the diesel energy production apparatus, discharging a battery energy storage device, and purchasing energy, establishes the target date. If the renewable energy output of the target date is greater than the target date, the renewable energy management method comprising the step of establishing a power generation plan to perform at least one of the charging of the battery energy storage device and the sale of renewable energy . The method of claim 16, wherein the predicting step,
Determining date priority of the past dates based on the target date;
Determining a temperature priority of the past dates based on the temperature of the target date;
Selecting a past date having the smallest product of the date priority value and the temperature priority value among the past dates as a first similar date; And
And determining the load amount of the selected first similar date as the load amount of the target date. The method of claim 16, wherein the predicting step,
Determining date priority of the past dates based on the target date;
Determining the wind speed priority of the past dates according to the wind speed index calculated using the maximum wind speed value, the minimum wind speed value, the maximum wind speed normalization value, and the minimum wind speed normalization value of the target date and the past dates;
Selecting a past date having the smallest product of the date priority value and the wind speed priority value among the past dates as a second similar date for wind energy; And
Renewable energy management method comprising the step of determining the wind energy yield of the second similar date for the wind energy as the wind energy yield of the target date. The method of claim 16, wherein the predicting step,
Determining date priority of past dates based on the target date;
Determining the solar thermal priority of the past dates according to the solar thermal index calculated using the target date and the solar radiation, the maximum temperature, the solar radiation normalization value, and the maximum temperature normalization value of the past dates;
Selecting a past date having the smallest product of the date priority value and the solar thermal priority value among the past dates as a second similar date for the Taeyoung Heat energy; And
Renewable energy management method comprising the step of determining the solar energy production amount of the second similar date for the solar energy as the solar energy production amount of the target date. 17. The method of claim 16,
The result of comparing the actual energy output of each device transmitted from at least one of the wind energy production device, the solar energy production device, the diesel energy production device, and the battery energy storage device with the renewable energy production predicted at the target date or Renewable energy management method further comprises the step of modifying the power generation plan according to the status information. The method of claim 16,
Monitoring status information of each device transmitted from at least one of a wind energy production device, a solar energy production device, a diesel energy production device, and a battery energy storage device; And
And generating an alarm when an error occurs in each device as a result of the monitoring.

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