KR102275750B1 - System, method and computer program for operating independent renewable base station using energy storage system and secondary generator - Google Patents

Abstract

A new and renewable base station operating system using an energy storage system (ESS) and an auxiliary generator includes a collection unit that collects new and renewable base station operation data from a plurality of new and renewable base stations, a plurality of base stations based on the collected new and renewable base station operation data. A prediction unit for predicting the operating characteristics of each of the new and renewable base stations and a simulation performing unit for deriving the auxiliary power generation operation threshold and the auxiliary power generation stop threshold of the auxiliary generator for each of the plurality of new and renewable base stations based on the predicted operating characteristics can

Description

A system, method, and computer program for operating an independent renewable base station using an energy storage system and auxiliary generator

The present invention relates to a system, method and computer program for operating a stand-alone renewable base station using an energy storage system and an auxiliary generator.

A standalone photovoltaic power generation system is a power generation system that can solve the production and supply of solar power by itself without relying on the power grid. Such a standalone photovoltaic power generation system is composed of a solar cell panel, an energy storage device (ESS), a diesel generator, and an AC/DC inverter. Since these stand-alone photovoltaic power generation systems are not limited by the installation area, they are mainly used as power generation systems for power supply to remote areas such as mountains or islands, where it is difficult to supply the power grid, and the power grid is not properly established like in developing countries (eg, Africa). It is also used in areas that are not equipped.

In the stand-alone solar power generation system, renewable energy generation is irregular due to weather changes, and the technology to respond to irregular power supply and demand is insufficient. To compensate for this, the power generation of diesel generators is utilized as emergency power.

In the conventional stand-alone photovoltaic power generation system, even if a surplus of renewable energy is generated at each stand-alone photovoltaic base station, each base station operates a diesel generator in a batch diesel power generation operation method, so the cost of operating the diesel generator increases. Nothing else but to do.

In addition, the power generation cost of the diesel generator is high, and since diesel fuel must be replenished before the diesel fuel is exhausted in each base station, a method for minimizing the cost of operating the diesel generator is required.

On the other hand, referring to FIG. 1 , looking at the conventional supplementary transportation method of diesel fuel, since diesel fuel is transported to the base station according to the standard diesel fuel supplementation, the cost increases due to unnecessary transportation costs for diesel fuel supplementation. For example, when the first base station 101 is selected as a replenishment target of diesel fuel, diesel fuel is transported only to the first base station 101, while the remaining base stations 103, 105, 107 are replenished with diesel fuel. Since it is not included in the target, diesel fuel can be replenished only after 2-3 days from the time when the fuel is replenished in the first base station 101 .

Japanese Laid-Open Patent Publication No. 2006-50691 (published on Feb. 16, 2006)

The present invention is to solve the problems of the prior art described above, based on the operation characteristics of each of the plurality of new and renewable base stations, derive the auxiliary power generation operation threshold value and the auxiliary power generation stop threshold value of the auxiliary generator for each of the plurality of renewable base stations want to However, the technical problems to be achieved by the present embodiment are not limited to the technical problems described above, and other technical problems may exist.

As a technical means for achieving the above-described technical problem, an independent renewable base station operating system using an energy storage system (ESS) and an auxiliary generator according to the first aspect of the present invention is a renewable energy source from a plurality of renewable base stations. a collection unit for collecting base station operation data; a prediction unit for predicting operation characteristics of each of the plurality of new and renewable base stations based on the collected new and renewable base station operation data; and a simulation performing unit deriving an auxiliary power generation operation threshold value and auxiliary generation stop threshold value of the auxiliary generator for each of the plurality of renewable base stations based on the predicted operating characteristics.

An energy storage system (ESS) and a method of operating an independent renewable base station using an auxiliary generator according to a second aspect of the present invention includes collecting new and renewable base station operation data from a plurality of renewable base stations; predicting operation characteristics of each of the plurality of new and renewable base stations based on the collected new and renewable base station operation data; and deriving an auxiliary power generation operation threshold value and auxiliary generation stop threshold value of the auxiliary generator for each of the plurality of renewable base stations based on the predicted operating characteristics.

In a computer program stored in a medium including a sequence of instructions for operating an energy storage system (ESS) and an independent renewable base station using an auxiliary generator according to the third aspect of the present invention, the computer program is a computing device when executed by, collects new and renewable base station operation data from a plurality of new and renewable base stations, predicts the operating characteristics of each of the plurality of new and renewable base stations based on the collected new and renewable base station operation data, and the predicted operating characteristics It may include a sequence of instructions for deriving the auxiliary generation operation threshold value and auxiliary generation stop threshold value of the auxiliary generator for each of the plurality of renewable base stations based on the.

The above-described problem solving means are merely exemplary, and should not be construed as limiting the present invention. In addition to the exemplary embodiments described above, there may be additional embodiments described in the drawings and detailed description.

According to any one of the above-described problem solving means of the present invention, the present invention is based on the operating characteristics of each of the plurality of renewable base stations, the auxiliary power generation operation threshold value and the auxiliary generation stop threshold value of the auxiliary generator for each of the plurality of renewable base stations can be derived.

Through this, the present invention can reduce the use of auxiliary power generation fuel and the auxiliary power generation amount of the auxiliary generator by applying the auxiliary power generation operation threshold and auxiliary power generation stop threshold of the auxiliary generator to which the operating cost of the auxiliary generator is minimized to the auxiliary generator, By reducing the amount of wasted renewable surplus power generation, it is possible to improve the operation efficiency of the renewable power generation facility.

1 is a view for explaining a conventional auxiliary fuel replenishment system.
2 is a block diagram of a renewable base station operating system according to an embodiment of the present invention.
3A to 3B are diagrams for explaining a method of analyzing and predicting operating characteristics of a renewable base station according to an embodiment of the present invention.
4 is a view showing a schedule for an optimal transportation route for supplementary fuel replenishment, according to an embodiment of the present invention.
5 is a flowchart illustrating a method for operating a new regeneration base station according to an embodiment of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art can easily implement them. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. And in order to clearly explain the present invention in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

Throughout the specification, when a part is "connected" with another part, this includes not only the case of being "directly connected" but also the case of being "electrically connected" with another element interposed therebetween. . In addition, when a part "includes" a certain component, this means that other components may be further included, rather than excluding other components, unless otherwise stated.

In this specification, a "part" includes a unit realized by hardware, a unit realized by software, and a unit realized using both. In addition, one unit may be implemented using two or more hardware, and two or more units may be implemented by one hardware.

Some of the operations or functions described as being performed by the terminal or device in the present specification may be instead performed by a server connected to the terminal or device. Similarly, some of the operations or functions described as being performed by the server may also be performed in a terminal or device connected to the server.

Hereinafter, detailed contents for carrying out the present invention will be described with reference to the accompanying configuration diagram or process flow diagram.

2 is a block diagram of a renewable base station operating system 100 according to an embodiment of the present invention.

Referring to FIG. 2 , the renewable base station operating system 100 may include a collection unit 200 , a prediction unit 210 , a distance matrix calculation unit 220 , and a simulation performing unit 230 . Here, the simulation performing unit 230 may include a first simulation performing unit 232 and a second simulation performing unit 234 . However, the renewable base station operating system 100 shown in FIG. 2 is only one embodiment of the present invention, and various modifications are possible based on the components shown in FIG. 2 .

The collection unit 200 may collect new/renewable base station operation data from a plurality of new/renewable base stations. Here, the new and renewable base station operation data includes past renewable power generation, past renewable surplus power generation, past power consumption, past auxiliary power generation amount of auxiliary generator, past residual amount of energy storage system, past solar radiation information, past solar radiation forecast data, auxiliary fuel transportation cost , Auxiliary fuel cost, auxiliary fuel residual amount, a past auxiliary power generation operation threshold of the auxiliary generator, the past auxiliary generation stop threshold of the auxiliary generator, it may include at least one of location information (eg, latitude and longitude information) of the renewable base station .

The prediction unit 210 may predict the operation characteristics of each of the plurality of renewable base stations based on the operation data of the new and renewable base stations collected for each of the plurality of renewable base stations.

For example, referring to FIG. 3A , the prediction unit 210 may derive the average residual amount 301 of the daily energy storage system based on the past residual amount of the energy storage system collected from the first renewable base station for a certain period of time. have. The prediction unit 210 may derive the daily renewable surplus power generation 303 based on the past renewable surplus power generation amount collected from the first renewable base station for a certain period of time.

The prediction unit 210 maintains the residual amount of the daily average energy storage system of the first renewable base station at 80% or more through the derived average residual amount 301 of the daily energy storage system, and the calculated daily renewable surplus power generation amount ( 303), it can be confirmed that a large number of renewable surplus power generation of the first renewable base station is generated. Through these results, the prediction unit 210 may predict that, in the case of the first renewable base station, the amount of renewable surplus power is generated due to the batch operation of the auxiliary generator. In the present invention, the auxiliary generator may mean a diesel generator.

Also, the prediction unit 210 may analyze the climate characteristics of a region in which each of the plurality of renewable base stations is located based on the operation data of the new and renewable base stations collected for each of the plurality of new and renewable base stations. For example, referring to FIG. 3B , the prediction unit 210 may derive the monthly average solar radiation 305 based on past solar radiation information collected from the first renewable base station for a certain period of time.

Also, the prediction unit 210 may derive the monthly renewable generation amount 309 based on the past renewable generation amount collected from the first renewable generation base station for a certain period of time. The prediction unit 210 analyzes the correlation between the average insolation amount 307 for February to April in the monthly average solar radiation amount 305 and the monthly renewable electricity generation amount in February to April in the monthly renewable electricity generation amount 309. It can be seen that the average solar radiation in April and the monthly renewable power generation between February and April coincide with each other.

The prediction unit 210 may predict the amount of renewable power generation for each of the plurality of renewable base stations based on at least one of past solar radiation information and past solar radiation forecast data for each of the plurality of renewable base stations. Here, when there is no past solar radiation forecast data, it may be used instead of insolation data predicted from the past renewable power generation information. For example, the prediction unit 210 substitutes the first function (renewable power generation prediction function) by substituting past solar radiation information and past solar radiation forecast data collected for a certain period (eg, 30 days) from the first renewable generation base station to the first function (new and renewable generation amount prediction function). 1 It is possible to predict the amount of renewable power generation of a renewable base station.

The prediction unit 210 may predict the power consumption for each of the plurality of renewable base stations based on at least one of past power consumption for each of the plurality of new and renewable base stations and location information of the new and renewable base stations. For example, the prediction unit 210 substitutes the past power consumption amount collected from the first renewable base station for a certain period of time and latitude and longitude information of the first renewable base station into the second function (power consumption prediction function) to generate the first scene. It is possible to predict the power consumption of the reproduction base station.

The prediction unit 210 is based on at least one of the past auxiliary power generation amount of the auxiliary generator for each of the plurality of renewable base stations, the past residual amount of the energy storage system, and the auxiliary power generation rate of the auxiliary generator for each of the plurality of renewable base stations based on the past renewable generation amount can be predicted

For example, the prediction unit 210 calculates the past auxiliary power generation amount of the auxiliary generator collected from the first renewable base station for a certain period of time, the past residual amount of the energy storage system, and the past renewable power generation amount as a third function (auxiliary power generation rate prediction function) It is possible to predict the auxiliary power generation rate for the auxiliary generator of the first renewable base station per unit time by substituting into .

Prediction unit 210 for each of the plurality of renewable base stations in the past residual amount of the energy storage system, the predicted auxiliary power generation rate of the auxiliary generator, the predicted power consumption, the predicted renewable power generation, the past auxiliary power generation operation threshold and auxiliary of the auxiliary generator It is possible to predict the amount of auxiliary power generation of the auxiliary generator for each of the plurality of renewable base stations based on at least one of the previous auxiliary generation stop threshold value of the generator.

For example, the prediction unit 210 is the auxiliary power generation rate of the auxiliary generator predicted for the first renewable base station, the predicted power consumption, the predicted renewable power generation and the past of the energy storage system collected from the first renewable base station. The amount of auxiliary power generation of the auxiliary generator in the first renewable base station can be predicted by substituting the residual amount, the previous auxiliary generation operation threshold of the auxiliary generator, and the past auxiliary generation stop threshold of the auxiliary generator into the fourth function (auxiliary generation amount prediction function) .

The simulation performing unit 230 may derive the auxiliary power generation operation threshold value and the auxiliary generation stop threshold value of the auxiliary generator for each of the plurality of renewable base stations based on the operation characteristics predicted for each of the plurality of renewable base stations.

The first simulation performing unit 232 is a new and renewable base station for each new and renewable base station, among the predicted new and renewable generation amount, the predicted power consumption, the past renewable surplus power generation, the past auxiliary power generation operation threshold and the past auxiliary power generation stop threshold value. At least one input into the first simulation (optimal threshold value derivation simulation for the operation of the auxiliary generator) to minimize the operating cost of the auxiliary generator for each of the new and renewable base stations, the auxiliary power generation start threshold and the auxiliary power generation stop threshold can be derived.

For example, the first simulation performing unit 232 may determine the amount of new and renewable generation predicted for the first renewable base station, the predicted amount of power consumption, the amount of past renewable surplus power, the previous auxiliary generation operation threshold value, and the past auxiliary generation stop threshold value. can be input to the first simulation to derive the auxiliary power generation operation threshold value and auxiliary power generation stop threshold value of the auxiliary generator at which the operating cost of the auxiliary generator for the first renewable base station at the current time is minimized.

The distance matrix calculator 220 may calculate a distance matrix between the new and renewable base stations based on the location information of each new and renewable base station for each of the plurality of new and renewable base stations. A distance matrix between base station i and base station j may be calculated through [Equation 1].

[Equation 1]

} =

, i=1...N, j=1...N{

} =

, i=1...N, j=1...N

}는 기지국 i 및 기지국 j 간의 거리 행렬이고,

는 기지국 i의 위도값이고,

는 기지국 j의 위도값이고,

는 기지국 i의 경도값이고,

는 기지국 j의 경도값이다. here, {

} is the distance matrix between base station i and base station j,

is the latitude value of base station i,

is the latitude value of base station j,

is the longitude value of base station i,

is the longitude value of base station j.

Prediction unit 210 is the auxiliary power generation operation threshold value of the auxiliary generator to minimize the past residual amount of the energy storage system for each new and renewable base station, the predicted renewable power generation amount, the predicted power consumption amount, the auxiliary fuel residual amount, the operating cost of the auxiliary generator And it is possible to predict the auxiliary fuel replenishment required amount of the auxiliary generator for each of the plurality of renewable base stations based on at least one of the auxiliary power generation stop threshold value (the value derived by the first simulation performing unit 232).

For example, the prediction unit 210 may calculate the past residual amount of the energy storage system for the first renewable base station, the predicted renewable power generation amount, the predicted power consumption amount, the auxiliary fuel residual amount, and the operating cost of the auxiliary generator in the first renewable base station. By substituting this minimized auxiliary power generation operation threshold and auxiliary power generation stop threshold into the fifth function (auxiliary fuel replenishment required amount prediction function), the auxiliary fuel replenishment required amount of the auxiliary generator in the first renewable base station can be predicted. .

The second simulation performing unit 234 calculates the distance matrix between the renewable base stations, the auxiliary fuel transport cost, the auxiliary fuel cost, and the predicted auxiliary fuel replenishment required amount and auxiliary fuel supply amount of the auxiliary generator and the auxiliary fuel transfer amount of the auxiliary generator between the renewable base stations At least one of the following may be input to the second simulation (a simulation for deriving an optimal schedule for supplementary fuel supplementation) to derive an optimal transportation route for supplemental fuel supplementation. Here, the auxiliary fuel provision amount and the auxiliary fuel transfer amount of the auxiliary generator between the renewable base stations may be adjusted to a value that minimizes the operating cost of the auxiliary generator.

For example, the second simulation performing unit 234 is a distance matrix between the renewable base station i and the renewable base station j, the auxiliary fuel transportation cost, the auxiliary fuel cost, the auxiliary fuel replenishment required amount of the auxiliary generator predicted for the renewable base station i , by inputting the auxiliary fuel supply amount to the renewable base station i into the second simulation, it is possible to determine the fuel replenishment order for the auxiliary fuel replenishment for the renewable base station i.

If there is a renewable base station j (a base station close to the renewable base station i) capable of transferring the auxiliary fuel to the renewable base station i, the transfer amount of the auxiliary fuel from the renewable base station j to the renewable base station i is used in the second simulation. By additional input, it is possible to determine a fuel replenishment order for supplementary fuel replenishment for the renewable base station i. The second simulation performing unit 234 may derive an optimal transport route based on the fuel replenishment order of each base station determined for each of the base station to be supplemented with the auxiliary fuel and the base station to be the target of the transfer of the auxiliary fuel.

For example, referring to FIG. 4 , the renewable base station operating system 100 may monitor the residual amount of auxiliary fuel of each of the plurality of renewable base stations, and measure the consumption rate of auxiliary fuel from the auxiliary power generation rate of the auxiliary generator. .

The renewable base station operating system 100 may determine whether supplemental fuel needs to be replenished based on the residual amount of auxiliary fuel of each new and renewable base station, the consumption rate of the auxiliary fuel, and the like.

The renewable base station operating system 100 may receive information on the transferable amount of the auxiliary fuel from the second renewable base station 403 capable of transferring the auxiliary fuel among the plurality of renewable base stations.

Renewable base station operating system 100 includes a plurality of renewable base stations (401, 403, 405, 407) including base stations (401, 405, 407) that require supplementation of auxiliary fuel and base station 403 that is the transfer target of auxiliary fuel. Inter-distance matrix, auxiliary fuel transport cost, auxiliary fuel cost, auxiliary fuel replenishment required amount predicted at each of the base stations 401, 405, 407 requiring replenishment of auxiliary fuel, base stations 401, 405 and 407 requiring replenishment of auxiliary fuel The amount of auxiliary fuel supplied to each auxiliary generator and the amount of auxiliary fuel transfer from the second base station 403 to the third base station 405 are input to the second simulation, and the optimal transport route (first base station ( 401) -> second base station 403 -> third base station 405 -> fourth base station 407) may be derived.

The present invention can reduce the use of auxiliary power generation fuel and the auxiliary power generation amount of the auxiliary generator by applying the auxiliary power generation operation threshold and auxiliary power generation stop threshold of the auxiliary generator to which the operating cost of the auxiliary generator is minimized to the auxiliary generator, By reducing the amount of renewable surplus power generation, it is possible to improve the operating efficiency of the renewable power generation facility.

In addition, the present invention can reduce auxiliary fuel transportation costs because auxiliary fuel is supplied to each new and renewable base station based on the optimal transport route of auxiliary fuel replenishment for a plurality of renewable base stations requiring replenishment of auxiliary fuel, Since the optimal transport route of supplementary fuel is determined in consideration of the base station capable of transferring fuel, the supplementary fuel supplementation cost and the supplementary fuel transport cost can be minimized.

In addition, the transfer of fuel between the renewable base stations can reduce a shortage of auxiliary fuel in individual base stations, and can reduce fuel cost waste caused by excessive storage of auxiliary fuel.

Meanwhile, for those skilled in the art, the collecting unit 200 , the predicting unit 210 , the distance matrix calculating unit 220 , the simulation performing unit 230 , the first simulation performing unit 232 , and the second simulation performing unit 234 , respectively It will be fully understood that these may be implemented separately, or one or more of them may be implemented integrally.

5 is a flowchart illustrating a method for operating a new regeneration base station according to an embodiment of the present invention.

Referring to FIG. 5 , in step S501 , the new and renewable base station operating system 100 may collect new and renewable base station operation data from a plurality of new and renewable base stations.

In step S503, the new and renewable base station operating system 100 may predict the operating characteristics of each of the plurality of new and renewable base stations based on the new and renewable base station operation data collected for each new and renewable base station.

In step S505, the new and renewable base station operating system 100 may derive the auxiliary power generation operation threshold and the auxiliary power generation stop threshold of the auxiliary generator for each of the plurality of renewable base stations based on the operation characteristics predicted for each new and renewable base station. .

In the above description, steps S501 to S505 may be further divided into additional steps or combined into fewer steps, according to an embodiment of the present invention. In addition, some steps may be omitted as necessary, and the order between steps may be changed.

An embodiment of the present invention may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by a computer. Computer-readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. Also, computer-readable media may include all computer storage media. Computer storage media includes both volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.

The above description of the present invention is for illustration, and those of ordinary skill in the art to which the present invention pertains can understand that it can be easily modified into other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and likewise components described as distributed may be implemented in a combined form.

The scope of the present invention is indicated by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be construed as being included in the scope of the present invention. .

100: renewable base station operating system
200: collection unit
210: prediction unit
220: distance matrix calculator
230: simulation execution unit
232: first simulation performing unit
234: second simulation performing unit

Claims (15)

In the new renewable base station operating system using an energy storage system (ESS) and an auxiliary generator,
a collection unit for collecting new and renewable base station operation data from a plurality of new and renewable base stations;
a prediction unit for predicting operation characteristics of each of the plurality of new and renewable base stations based on the collected new and renewable base station operation data; and
A simulation performing unit for deriving an auxiliary power generation operation threshold value and auxiliary generation stop threshold value of the auxiliary generator for each of the plurality of renewable base stations based on the predicted operating characteristics
including,
The simulation performing unit is based on at least one of the predicted renewable generation amount, power consumption, past renewable surplus generation amount, past auxiliary power generation operation threshold value, and past auxiliary generation stop threshold value for each new and renewable base station for each new and renewable base station A new and renewable base station operating system for deriving the auxiliary power generation operation threshold value and the auxiliary power generation stop threshold value of the auxiliary generator to reduce the operating cost of the auxiliary generator for each renewable base station.
The method of claim 1,
The new and renewable base station operation data includes past renewable power generation, the past renewable surplus power generation, past power consumption, past auxiliary power generation of the auxiliary generator, past residual amount of the energy storage system, past solar radiation information, past solar love forecast data, the Auxiliary fuel transportation cost of the auxiliary generator, auxiliary fuel cost, auxiliary fuel residual amount, the past auxiliary generation operation threshold value, the past auxiliary generation stop threshold value, which includes at least one of location information of the plurality of renewable base stations, Renewable base station operating system.
3. The method of claim 2,
the prediction unit
predicting the amount of renewable power generation based on at least one of the past solar radiation information and the past solar radiation forecast data,
predicting the power consumption based on at least one of the past power consumption and location information of the plurality of renewable base stations,
Predicting the auxiliary power generation rate of the auxiliary generator based on at least one of the past auxiliary power generation amount of the auxiliary generator, the past residual amount of the energy storage system, and the past renewable generation amount,
Auxiliary based on at least one of the past residual amount of the energy storage system, the predicted auxiliary generation rate, the predicted power consumption, the predicted renewable generation amount, the past auxiliary generation operation threshold value, and the past auxiliary generation stop threshold value Predicting the amount of power generation, a new renewable base station operating system.
4. The method of claim 3,
The simulation performing unit
At least one of the predicted renewable generation amount, the predicted power consumption amount, the past renewable generation surplus generation amount, the past auxiliary generation operation threshold value, and the past auxiliary generation stop threshold value is input to the first simulation to assist the auxiliary generator The new and renewable base station operating system, including a first simulation performing unit for deriving the generation operation threshold and the auxiliary generation stop threshold.
The method of claim 1,
The new and renewable base station operating system further comprising a distance matrix calculator for calculating a distance matrix between the new and renewable base stations based on the location information of the plurality of new and renewable base stations for each of the plurality of renewable base stations.
5. The method of claim 4,
the prediction unit
Based on at least one of the past residual amount of the energy storage system, the predicted renewable power generation amount, the predicted power consumption amount, the auxiliary fuel residual amount, the derived auxiliary generation operation threshold value, and auxiliary generation stop threshold value of the auxiliary generator A renewable base station operating system for predicting auxiliary fuel replenishment needs.
7. The method of claim 6,
The simulation performing unit
A second simulation of at least one of a distance matrix between renewable base stations, the auxiliary fuel transportation cost, the auxiliary fuel cost, the predicted auxiliary fuel replenishment required amount, auxiliary fuel provision amount, and auxiliary fuel transfer amount of the auxiliary generator between renewable base stations Which includes a second simulation performing unit for deriving an optimal transport route for supplementary fuel replenishment by input to the, renewable base station operating system.
In the method of operating a new renewable base station using an energy storage system (ESS) and an auxiliary generator,
collecting new and renewable base station operation data from a plurality of new and renewable base stations;
predicting operation characteristics of each of the plurality of new and renewable base stations based on the collected new and renewable base station operation data; and
Deriving an auxiliary power generation operation threshold value and auxiliary generation stop threshold value of the auxiliary generator for each of the plurality of renewable base stations based on the predicted operating characteristics
including,
The step of deriving the auxiliary power generation operation threshold value and the auxiliary generation stop threshold value of the auxiliary generator is
Based on at least one of a renewable generation amount, power consumption, past renewable surplus generation amount, past auxiliary generation operation threshold, and past auxiliary generation stop threshold value predicted for each new and renewable base station for each new and renewable base station A method of operating a base station for renewable energy, including the step of deriving the auxiliary power generation operation threshold value and the auxiliary generation stop threshold value of the auxiliary generator to reduce the operating cost of the auxiliary generator for the regeneration base station.
9. The method of claim 8,
The new and renewable base station operation data includes past renewable power generation, the past renewable surplus power generation, past power consumption, past auxiliary power generation of the auxiliary generator, past residual amount of the energy storage system, past solar radiation information, past solar love forecast data, the Auxiliary fuel transportation cost of the auxiliary generator, auxiliary fuel cost, past auxiliary fuel residual amount, the past auxiliary generation operation threshold value, the past auxiliary generation stop threshold value, which includes at least one of location information of the plurality of renewable base stations , how to operate a renewable base station.
10. The method of claim 9,
The predicting step is
predicting the amount of renewable power generation based on at least one of the past solar radiation information and the past solar radiation forecast data;
estimating the power consumption based on at least one of the past power consumption and the plurality of base station location information;
predicting the auxiliary power generation rate of the auxiliary generator based on at least one of the past auxiliary power generation amount of the auxiliary generator, the past residual amount of the energy storage system, and the past renewable power generation amount; and
Auxiliary based on at least one of the past residual amount of the energy storage system, the predicted auxiliary generation rate, the predicted power consumption, the predicted renewable generation amount, the past auxiliary generation operation threshold value, and the past auxiliary generation stop threshold value Which comprises the step of predicting the amount of power generation, a new renewable base station operating method.
11. The method of claim 10,
The step of deriving the auxiliary generation operation threshold and auxiliary generation stop threshold is
At least one of the predicted renewable generation amount, the predicted power consumption amount, the past renewable generation surplus generation amount, the past auxiliary generation operation threshold value, and the past auxiliary generation stop threshold value is input to the first simulation to assist the auxiliary generator A method of operating a base station for renewable energy, including deriving a generation operation threshold and an auxiliary generation stop threshold.
9. The method of claim 8,
The method of operating a new and renewable base station further comprising calculating a distance matrix between the new and renewable base stations based on the location information of the plurality of new and renewable base stations for each of the plurality of new and renewable base stations.
12. The method of claim 11,
The predicting step is
Based on at least one of the past residual amount of the energy storage system, the predicted renewable power generation amount, the predicted power consumption amount, the auxiliary fuel residual amount, the derived auxiliary generation operation threshold value, and auxiliary generation stop threshold value of the auxiliary generator A method of operating a renewable base station, comprising the step of estimating an auxiliary fuel replenishment requirement.
14. The method of claim 13,
A second simulation of at least one of a distance matrix between renewable base stations, the auxiliary fuel transportation cost, the auxiliary fuel cost, the predicted auxiliary fuel replenishment required amount, auxiliary fuel provision amount, and auxiliary fuel transfer amount of the auxiliary generator between renewable base stations The method further comprising the step of deriving an optimal transportation route for supplementary fuel replenishment by input to the, renewable base station operating method.
In a computer program stored in a medium including a sequence of instructions for operating an energy storage system (ESS) and a renewable base station using an auxiliary generator,
When the computer program is executed by a computing device,
Collecting new and renewable base station operation data from a plurality of new and renewable base stations,
Predicting the operating characteristics of each of the plurality of new and renewable base stations based on the collected new and renewable base station operation data,
Deriving the auxiliary generation operation threshold and auxiliary generation stop threshold of the auxiliary generator for each of the plurality of renewable base stations based on the predicted operating characteristics,
Based on at least one of a renewable generation amount, power consumption, past renewable surplus generation amount, a past auxiliary generation operation threshold value, and a past auxiliary generation stop threshold value predicted for each new and renewable base station for each new and renewable base station A computer program stored on a medium, comprising: a sequence of instructions for deriving an auxiliary generation start threshold and an auxiliary generation stop threshold of the auxiliary generator at which the operating cost of the auxiliary generator to the regenerative base station is reduced.

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