KR20220144665A - Solar Power Generation Efficiency Management System and Solar Power Generation Efficiency Management Method using Mutual Verification between Adjacent Generators - Google Patents

Abstract

The present invention relates to a power generation efficiency management system and power generation efficiency management method of a solar power generator. The power generation efficiency management system according to one embodiment of the present invention comprises: an information collection unit which collects daily solar radiation for each area from an external observation system and daily power generation amount from each of a plurality of solar power generators; a selection unit which selects one or more control power generators from among the plurality of solar power generators to analyze a power generation efficiency of a target power generator; and an analysis unit which analyzes the power generation efficiency of the target generator based on daily power generation amount of each of the selected control power generators. The selection unit first selects solar power generators with the distance to the target generator is within a standard distance, and selects the final control power generators through correlation analysis between daily power generation amount of each of the firstly selected solar power generators and daily power generation of the target generator. The system allows an owner to check a change in power generation efficiency without adding a separate on-site sensor.

Description

Solar Power Generation Efficiency Management System and Solar Power Generation Efficiency Management Method using Mutual Verification between Adjacent Generators}

The present invention relates to a power generation efficiency management system and a power generation efficiency management method of a photovoltaic generator, and more particularly, by selecting a plurality of generators having a similar power generation pattern to a target generator among adjacent generators at the same time (same day) and generating a target generator It relates to a system that can manage the power generation efficiency of a target generator by estimating the standard power generation amount of the target generator and comparing it with the actual power generation amount of the target generator.

Existing technologies for the management of photovoltaic power generation efficiency have been applied through additional investment expenditure for stable maintenance of power generation income from the point of view of power generation facility owners. There are three limitations in this regard.

First, as a matter of cost efficiencies, it is that a considerable amount of cost is required to construct a system for monitoring the power generation efficiency of solar power generation facilities. Specifically, the cost of purchasing and installing the solar radiation and the module temperature sensor, etc. will occur. In addition, the cost of establishing a system for estimating and managing power generation efficiency by analyzing data acquired by sensors, etc. and the maintenance cost of professional personnel are additionally incurred. What is obtained through such an investment is the stability of solar power generation income, and its value is difficult to confirm in the short term, so its attractiveness is low compared to the investment cost incurred. In particular, the investment cost acts as a decisive disadvantage for small solar operators with small installed capacity.

Second, expertise is required. It requires specialized knowledge to build a system necessary for monitoring power generation efficiency, and to acquire and analyze data. This is a burden to many customers who have started the power generation business simply for the purpose of investment, and it is not easy to interpret various information related to power generation efficiency retrieved through the system, even if an analysis system is established through a specialized company. Due to this, the monitoring system is simply reduced to checking whether the generator facility is faulty and does not induce the owner's active management of power generation efficiency, so that the main purpose of the system cannot be achieved.

Third, the technical limitations of estimating power generation efficiency can be a problem. The existing technology estimates power generation efficiency by comparing information acquired at different points in time for a single facility, so there are technical limitations. Since it is difficult for a number of variables related to meteorological conditions such as temperature, humidity, wind speed, and solar radiation to perfectly match between two time points, it is difficult to exist, and this inevitably causes errors. In particular, in the case of a method of estimating the baseline power generation through weather forecast rather than a value obtained from a sensor in the field, the estimation of efficiency becomes more inaccurate due to a prediction error.

For the reasons described above, technologies for monitoring power generation efficiency are not widely applied in the field, and only a small number of operators operate facilities through modern O&M methods. This phenomenon causes a decrease in potential income for power generation operators and a decrease in the performance ratio and reliability of the solar distributed power source in the power system.

An object of the present invention is to provide a system and method by which the owner of a solar power generation facility can check a change in power generation efficiency without adding a separate on-site sensor.

In addition, an object of the present invention is to provide a system and method that can provide an analysis result that can be easily understood even by a non-expert through an intuitive comparison using the power generation amount of an adjacent generator.

Another object of the present invention is to provide a system and method capable of estimating power generation efficiency without being affected by weather prediction errors.

An embodiment of the present invention for achieving the above object, as a power generation efficiency management system of a photovoltaic generator, collects daily insolation for each region from an external observation system and collects each daily amount of power from a plurality of photovoltaic generators information collection unit; a selection unit for selecting at least one control generator from among the plurality of photovoltaic generators in order to analyze the power generation efficiency of the target generator; and an analysis unit that analyzes the power generation efficiency of the target generator based on the daily power generation amount of each of the selected control generators. It is characterized in that the final control generator is selected through a correlation analysis between the daily power generation amount of each of the firstly selected photovoltaic generators and the daily power generation amount of the target generator.

Here, the selector may set the reference distance based on the daily insolation received from the information collecting unit.

In addition, the selection unit is characterized in that the correlation analysis is performed based on a value obtained by dividing the daily power generation amount of each photovoltaic generator by the installed capacity.

The analyzer may calculate the reference power generation amount of the target generator through regression analysis using the daily power generation amount of each of the selected control generators.

Also, the analyzer may calculate the power generation efficiency of the target generator by comparing a difference between the reference power generation amount and the actual power generation amount of the target generator.

On the other hand, the power generation efficiency management system of the photovoltaic generator according to an embodiment of the present invention receives the daily power generation efficiency of the target generator from the analysis unit, analyzes the change value of the daily power generation efficiency in units of a certain period, and the It may further include; a comprehensive diagnosis unit provided to the customer of the target generator and / or the operator of the power generation efficiency management system.

In this case, the comprehensive diagnosis unit, when the change value of the daily power generation efficiency is greater than or equal to a predetermined change value, to the customer of the target generator and/or the operator of the power generation efficiency management system, the reference power generation amount of the target generator, the target generator The actual power generation amount and the change value of the power generation efficiency of the target generator during the predetermined period may be provided as an analysis result.

Alternatively, the comprehensive diagnosis unit may provide the reference power generation amount of the target generator, the actual power generation amount of the target generator and the target generator to the customer using the target generator and/or the operator of the power generation efficiency management system at the predetermined period. The change value of the power generation efficiency of the target generator may be provided as an analysis result.

An embodiment of the present invention for achieving the above object is a method of managing the power generation efficiency of a solar power generator, wherein the information collecting unit collects daily solar radiation for each region from an external observation system, and each day from a plurality of solar power generators a collection step of collecting power generation; A selection step of selecting at least one control generator from the plurality of photovoltaic generators for the selection unit to analyze the power generation efficiency of the target generator; and An analysis step of analyzing the power generation efficiency of the target generator based on the daily power generation amount of each of the control generators selected by the analysis unit; includes, wherein the screening step includes, wherein the distance to the target generator is within a reference distance first selecting them; and selecting a final control generator through a correlation analysis between the daily power generation amount of each of the firstly selected photovoltaic generators and the daily power generation amount of the target generator.

Here, in the selecting step, the reference distance may be set based on the daily insolation received from the information collection unit.

In addition, in the selection step, the correlation analysis may be performed based on a value obtained by dividing the daily power generation amount of each photovoltaic generator by the installed capacity.

The analyzing step may include calculating a reference power generation amount of the target generator through regression analysis using the daily power generation amount of each of the selected control generators; and calculating the power generation efficiency of the target generator by comparing the difference between the reference power generation amount and the actual power generation amount of the target generator.

On the other hand, in the method for managing power generation efficiency of a solar power generator according to an embodiment of the present invention, the daily power generation efficiency of the target generator is received from the analysis unit, and the change value of the daily power generation efficiency is analyzed in units of a certain period. It may further include; a comprehensive diagnosis step provided to the user of the target generator and / or the operator of the power generation efficiency management system.

Here, in the comprehensive diagnosis step, when the change value of the daily power generation efficiency is greater than or equal to a predetermined change value, the target generator's reference power generation amount, the target generator to the customer and/or the operator of the power generation efficiency management system It is possible to provide the actual power generation amount and the change value of the power generation efficiency of the target generator during the predetermined period as an analysis result.

Alternatively, in the comprehensive diagnosis step, the reference power generation amount of the target generator, the actual power generation amount of the target generator and the predetermined period to the customer using the target generator and/or the operator of the power generation efficiency management system at the predetermined period A change value of the power generation efficiency of the target generator of may be provided as an analysis result.

According to the present invention, since the owner of the solar power generation facility can check the change in the generation efficiency of the target generator through comparison of the generation amount pattern with the adjacent control generator without adding a separate on-site sensor, the maintenance cost of the system can be reduced. can

In addition, according to the present invention, it is possible to provide an analysis result that can be easily understood even by a non-expert through an intuitive comparison using the power generation amount of adjacent generators.

In addition, according to the present invention, since the power generation amount of the adjacent generator at the same time is utilized, it is possible to estimate the power generation efficiency without being affected by the weather prediction error.

Further scope of applicability of the present invention will become apparent from the following detailed description for carrying out the invention. However, since various changes and modifications within the spirit and scope of the present invention can be clearly understood by those skilled in the art, specific embodiments such as those included in the detailed description for carrying out the invention below are merely illustrative should be understood as given as

1 is a conceptual diagram of a power generation efficiency management system according to an embodiment of the present invention.
FIG. 2 is an operation conceptual diagram illustrating a configuration of the information collection unit illustrated in FIG. 1 and an information transfer relationship with other configurations.
3 shows the form of data collected by the generator data acquisition unit shown in FIG. 2 .
4 is a diagram illustrating types of insolation data that the insolation data acquisition unit shown in FIG. 2 can collect and utilize.
FIG. 5 is an operation conceptual diagram illustrating a configuration of the selection unit illustrated in FIG. 1 and an information transfer relationship with other configurations.
6 is a diagram illustrating a reference distance set through a heatmap analysis for daily cumulative insolation.
7 is a schematic diagram showing that the control generator is selected from among a plurality of photovoltaic generators existing within the reference distance.
FIG. 8 is an operation conceptual diagram illustrating the configuration of the analysis unit shown in FIG. 1 and the information transfer relationship with other configurations.
9 is for explaining a method of calculating the power generation efficiency of the target generator in the analysis unit.
10 is a diagram in which a sliding window method is applied to continuously track the change in power generation efficiency calculated by the system according to the present invention.
11 is a flowchart illustrating a flow of a method for managing power generation efficiency according to an embodiment of the present invention.

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

Since the present invention can have various changes and can have various embodiments, specific embodiments are illustrated in the drawings and will be described in detail in the detailed description. This is not intended to limit the present invention to a specific embodiment, it should be construed to include all modifications, equivalents and substitutes included in the spirit and scope of the present invention.

In describing the present invention, terms such as first and second may be used to describe various components, but the components may not be limited by the terms. The above terms are only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, a first component may be referred to as a second component, and similarly, a second component may also be referred to as a first component.

The term “and/or” may include a combination of a plurality of related listed items or any of a plurality of related listed items.

When a component is referred to as being “connected” or “connected” to another component, it may be directly connected or connected to the other component, but other components may exist in between. can be understood On the other hand, when it is mentioned that a certain element is "directly connected" or "directly connected" to another element, it may be understood that the other element does not exist in the middle.

The terms used in the present application are only used to describe specific embodiments, and are not intended to limit the present invention. The singular expression may include the plural expression unless the context clearly dictates otherwise.

In the present application, terms such as “comprise” or “have” are intended to designate that a feature, number, step, operation, component, part, or combination thereof described in the specification exists, and one or more other features It may be understood that the existence or addition of numbers, steps, operations, components, parts or combinations thereof is not precluded in advance.

Unless defined otherwise, all terms used herein, including technical or scientific terms, may have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Terms such as those defined in a commonly used dictionary may be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the present application, it is interpreted in an ideal or excessively formal meaning. it may not be

In addition, the following embodiments are provided to more completely explain to those with average knowledge in the art, and the shapes and sizes of elements in the drawings may be exaggerated for clearer explanation.

1 is a conceptual diagram of a power generation efficiency management system 10 according to an embodiment of the present invention, and FIG. 2 is an operation conceptual diagram illustrating a configuration of the information collection unit 100 shown in FIG. 1 and an information transfer relationship with other configurations. to be.

First, referring to FIG. 1 , the power generation efficiency system 10 according to an embodiment of the present invention may include an information collection unit 100 , a selection unit 200 , and an analysis unit 300 .

The information collection unit 100 is configured to collect daily insolation for each region from an external observation system and to collect each daily amount of electricity from a plurality of photovoltaic generators. More specifically, referring to FIG. 2 , the information collection unit 100 collects daily cumulative generation amount from the generator of the power generation facility and the generator data acquisition unit 110 that collects basic information corresponding to the generator and the daily solar radiation amount from the external solar radiation observation system. It may include a solar radiation data acquisition unit 120 to collect.

The generator data acquisition unit 110 may collect daily accumulated power generation data from the generators of each solar power generation facility. At this time, as basic information corresponding to each generator, facility capacity, location information of the generator, etc. may be collected together. At this time, the data to be collected can be delivered from the AMI (Advanced Metering Infrastructure) and the DB (Data Base) established by the system owner. 3 shows the form of data collected by the generator data acquisition unit 110 .

The solar radiation data acquisition unit 120 may collect daily cumulative solar radiation data for each location provided based on a satellite image through an application programming interface (API) or the like. Tables 1 and 4 below show the types of insolation data that the insolation data acquisition unit 120 can collect and utilize.

FIG. 5 is a conceptual diagram illustrating the configuration of the selection unit 200 shown in FIG. 1 and information transmission relationship with other components, and FIG. 6 is a reference distance set through heatmap analysis of the daily cumulative insolation. 7 is a schematic diagram showing that the control generator is selected from among a plurality of photovoltaic generators existing within the reference distance.

The selection unit 200 is configured to select at least one control generator from among a plurality of photovoltaic generators in order to analyze the power generation efficiency of the target generator. The selection unit 200 primarily selects solar power generators having a distance from the target generator within a reference distance, and analyzes the correlation between the daily power generation amount of each of the firstly selected solar power generators and the daily power generation amount of the target generator The final control generator is selected through That is, the selection unit 200 selects a generator having similar power generation efficiency to a target generator among generators within the learned reference distance as a control generator. At this time, the power generation efficiency refers to the degree of power generation in response to insolation, and it is a concept that includes not only the power conversion efficiency of the power generation facility itself, but also the rate at which horizontal insolation is converted into panel inclination insolation according to the inclination and azimuth angles of the generator panel.

More specifically, referring to FIG. 5 , the selection unit 200 receives the daily insolation data acquired by the insolation data acquisition unit 120 , and based on this, learns and sets the reference distance to be used in selecting the control generator based on the reference distance parameter learning It may include a part 210 . The reference distance parameter learning unit 210 may receive the generator location information for each power generation facility from the generator data acquisition unit 110 and use it to set the reference distance.

Here, the reference distance means a distance that can be considered to be similar in average daily cumulative insolation, and the search for the control generator is performed only for generators within the reference distance from the target generator. As shown in FIG. 6 , the reference distance may be differentially learned for each region through heatmap analysis of the daily cumulative insolation, and may be corrected according to the density of power generation facilities in the region. More specifically, the reference distance may be learned in a range in which the daily cumulative insolation correlation coefficient of the selection period is greater than or equal to a specific value for the point where each power generation facility is installed, or in a range in which the average difference in daily insolation is less than or equal to a certain value. In addition, the reference distance may have an elliptical shape instead of a circular one by using a variogram according to the solar radiation distribution. In this process, geographical characteristics such as topography and meteorological characteristics of the analysis period (average wind speed, atmospheric pressure distribution, cloud movement path) are automatically reflected. In general, the more gentle the change of insolation and the lower the density of facilities, the wider the reference distance is used to widen the search range.

Meanwhile, the selection unit 200 may further include a control generator selection unit 220 . The control generator selection unit 220 may receive the reference distance for each target generator from the reference distance parameter learning unit 210, and a correlation coefficient comparing the daily power generation amount with the target generator for all generators located within the reference distance from the target generator Generators greater than or equal to a predetermined value or a predetermined number of generators having the highest correlation coefficient may be selected as a control group.

In this case, the control generator selection unit 220 may utilize correlation analysis for comparison of the daily power generation amount. More specifically, the control generator selection unit 220 may extract a generator having a similar daily generation pattern during the selection period, among generators within a reference distance from the target generator, using a Pearson correlation coefficient or the like. This process can be performed by selecting the top N generators having a large correlation coefficient or selecting generators having a Pearson correlation coefficient equal to or greater than a certain value. On the other hand, the control generator selection unit 220 may undergo a process of normalizing the daily generation amount to a value obtained by dividing the installed capacity by the installed capacity (hereinafter referred to as daily generation time) in order to correct the facility capacity difference between the power generation facilities in the process of comparing the power generation pattern. That is, the correlation analysis is performed based on one generation time.

As shown in FIG. 7 , only control generators having a similar generation pattern to the target generator are selected by correlation analysis among the photovoltaic generators within the reference distance ε, and the ID of the selected control generators is the standard of the target generator. (Baseline) may be transmitted to the analysis unit 300 for calculating the amount of power generation.

8 is a conceptual diagram illustrating the configuration of the analysis unit 300 shown in FIG. 1 and the information transfer relationship with other components, and FIG. 9 is a method for calculating the power generation efficiency of the target generator in the analysis unit 300. 10 is a diagram to which a sliding window method is applied to continuously track the change in power generation efficiency calculated by the system 10 according to the present invention.

The analysis unit 300 is configured to analyze the power generation efficiency of the target generator based on the daily power generation amount of each of the selected control generators. The analysis unit 300 estimates and calculates the reference power generation amount of the target generator using the power generation pattern of the selected control generators, and compares this with the actual power generation amount of the target generator to calculate the daily power generation efficiency of the target generator.

More specifically, referring to FIG. 8 , the analysis unit 300 may include a power generation estimation model learning unit 310 and an efficiency estimation unit 320 .

The power generation estimation model learning unit 310 is a configuration for calculating and estimating the reference power generation of the target generator through regression analysis, and a regression model for estimating the power generation of the target generator using the daily power generation for a certain period of each of the selected control generators. to learn In this case, the estimation model may use a value obtained by normalizing the amount of power generated by each generator to the installed capacity of the corresponding generator as an input. The estimation calculation method of the reference generation amount may be selected from a method of averaging the results predicted through simple regression for each control generator and a method of predicting through multiple regression using all of the generation amount of the selected generators.

Efficiency estimating unit 320 receives the reference generation amount from the generation amount estimation model learning unit 310, receives the actual generation amount of the target generator from the generator data acquisition unit 110, compares the difference between the two to determine the generation efficiency of the target generator Calculate. The efficiency estimation unit 320 calculates the power generation efficiency for each day and transmits it to the comprehensive diagnosis unit 400 to be described later.

Referring to FIG. 9 , a reference power generation amount is calculated through a regression analysis using the control generator 1 to the control generator 3, and the power generation efficiency can be calculated by day by comparing it with the actual power generation amount of the target generator. In addition, as a result of statistically analyzing the power generation efficiency calculated for each day for a certain period, the difference in the daily power generation efficiency and the average rate of change of the power generation efficiency can be calculated. The statistical analysis result may be calculated by the comprehensive diagnosis unit 400, which will be described later.

Referring back to FIG. 1 , the power generation efficiency management system according to an embodiment of the present invention may further include a comprehensive diagnosis unit 400 . More specifically, the comprehensive diagnosis unit 400 may include an efficiency change management and diagnosis unit 410 and an analysis result providing unit 420 .

The efficiency change management and diagnosis unit 410 may receive the daily power generation efficiency of the target generator from the analysis unit 300 and statistically analyze the change value of the daily power generation efficiency in units of a predetermined period.

As an embodiment, the efficiency change management and diagnosis unit 410 generates power generation efficiency when an event in which the change in power generation efficiency represents a significant change value occurs, that is, when the change value of the daily power generation efficiency of the target generator is greater than or equal to a predetermined change value. may be transmitted to the analysis result providing unit 420 .

As another embodiment, the efficiency change management and diagnosis unit 410 may transmit the change status of the power generation efficiency to the analysis result providing unit 420 at regular reporting time points, that is, with a certain period.

The analysis result providing unit 420 may provide the change status of the power generation efficiency received from the efficiency change management and diagnosis unit 410 to the customer of the target generator and/or the operator of the power generation efficiency management system. At this time, in the status of change of power generation efficiency provided by the analysis result providing unit 420, the reference power generation amount of the target generator, the actual power generation amount of the target generator, and the change value of the power generation efficiency of the target generator for a certain period are included as the analysis result as visual data. can

Meanwhile, referring to FIG. 10 , the selection unit 200, the analysis unit 300 and the comprehensive diagnosis unit 400 select the control generator, calculate the power generation efficiency of the target generator, and analyze the power generation efficiency using the sliding window method. It can be carried out continuously with varying durations over time. In this case, efficiency analysis with various purposes is possible according to the window size of the selection and learning period. When the window size is short, it responds sensitively to the current data, so it is advantageous for the detection of rapid changes in efficiency and fault diagnosis.

11 is a flowchart illustrating a flow of a method for managing power generation efficiency according to an embodiment of the present invention.

The power generation efficiency management method according to an embodiment of the present invention may be performed by the power generation efficiency management system 10 of FIG. 1 .

Referring to FIG. 11 , in the power generation efficiency management method according to an embodiment of the present invention, the information collection unit 100 collects daily insolation for each region from an external observation system, and each daily generation amount from a plurality of photovoltaic generators A collection step of collecting; (S100) a selection step in which the selection unit 200 selects at least one control generator from a plurality of photovoltaic generators to analyze the power generation efficiency of the target generator; (S200) and the analysis unit 300 An analysis step of analyzing the power generation efficiency of the target generator based on the daily power generation amount of each of the selected control generators; (S300) may be included.

In this case, the selection step (S200) includes the steps of first screening the photovoltaic generators having a distance to the target generator within a reference distance; and selecting a final control generator through a correlation analysis of the daily power generation amount of each of the first selected solar power generators and the target generator daily power generation amount.

In addition, in the selection step (S200), the reference distance can be set based on the daily insolation received from the information collection unit 100, and correlation analysis is performed based on the value obtained by dividing the daily generation of each solar power generator by the installed capacity. can do.

The analysis step (S300) may include calculating a reference power generation amount of the target generator through regression analysis using the daily power generation amount of each of the selected control generators; and calculating the power generation efficiency of the target generator by comparing the difference between the reference power generation amount and the actual power generation amount of the target generator.

On the other hand, in the power generation efficiency management method according to an embodiment of the present invention, the comprehensive diagnosis unit 400 receives the daily power generation efficiency of the target generator from the analysis unit 300, and calculates the change value of the daily power generation efficiency in units of a certain period of time. A comprehensive diagnosis step of analyzing and providing the target generator to the customer and/or the operator of the power generation efficiency management system; (S400) may be further included.

At this time, in the comprehensive diagnosis step ( S400 ), when the change value of the daily power generation efficiency is equal to or greater than the predetermined change value, the target generator's reference power generation amount and the target generator's actual power generation amount to the customer and/or the operator of the power generation efficiency management system and a change in power generation efficiency of the target generator for a certain period may be provided as an analysis result.

Alternatively, in the comprehensive diagnosis step (S400), with a certain period of time, the reference power generation amount of the target generator, the actual power generation amount of the target generator, and the target generator for a certain period to the customer of the target generator and/or the operator of the power generation efficiency management system A change in power generation efficiency can be provided as an analysis result.

A more detailed description of the power generation efficiency management method described with reference to FIG. 11 may be substituted for the description of the power generation efficiency management system 10 of FIG. 1 above.

As described above, according to the present invention, the owner of the photovoltaic power generation facility can check the change in the power generation efficiency of the target generator by comparing the power generation pattern with the adjacent control generator without adding a separate on-site sensor. Maintenance costs can be reduced.

In addition, according to the present invention, it is possible to provide an analysis result that can be easily understood even by a non-expert through an intuitive comparison using the power generation amount of adjacent generators.

In addition, according to the present invention, since the power generation amount of the adjacent generator at the same time is utilized, it is possible to estimate the power generation efficiency without being affected by the weather prediction error.

Although the present invention has been described with reference to limited embodiments and drawings, the present invention is not limited to the above embodiments, and various modifications and variations are possible from these descriptions by those skilled in the art to which the present invention pertains. Therefore, the technical spirit of the present invention should be understood only by the claims, and all equivalents or equivalent modifications thereof will fall within the scope of the technical spirit of the present invention.

10: Power generation efficiency management system
100: information collection unit
110: generator data acquisition unit
120: solar radiation data acquisition unit
200: selection unit
210: reference distance parameter learning unit
220: control generator selection unit
300: analysis unit
310: power generation estimation model learning unit
320: efficiency estimation unit
400: general diagnosis department
410: Efficiency change management and diagnosis unit
420: analysis result providing unit

Claims (15)

As a power generation efficiency management system of a solar power generator,
an information collection unit that collects daily insolation for each region from an external observation system and collects daily power generation from a plurality of photovoltaic generators;
a selection unit for selecting at least one control generator from among the plurality of photovoltaic generators in order to analyze the power generation efficiency of the target generator; and
An analysis unit that analyzes the power generation efficiency of the target generator based on the daily power generation amount of each of the selected control generators;
The sorting unit primarily selects photovoltaic generators having a distance from the target generator within a reference distance, and through a correlation analysis of the daily power generation amount of each of the firstly selected photovoltaic generators and the daily power generation amount of the target generator Power generation efficiency management system, characterized in that the final control generator is selected.
According to claim 1,
The selection unit,
Power generation efficiency management system, characterized in that for setting the reference distance based on the daily insolation received from the information collection unit.
According to claim 1,
The selection unit,
Power generation efficiency management system, characterized in that the correlation analysis is performed based on a value obtained by dividing the daily power generation amount of each photovoltaic generator by the installed capacity.
According to claim 1,
The analysis unit,
Power generation efficiency management system, characterized in that for calculating the reference power generation amount of the target generator through a regression analysis using the daily generation amount of each of the selected control generators.
5. The method of claim 4,
The analysis unit,
Power generation efficiency management system, characterized in that for calculating the power generation efficiency of the target generator by comparing the difference between the reference power generation amount and the actual power generation amount of the target generator.
6. The method of claim 5,
Comprehensive diagnosis that receives the daily power generation efficiency of the target generator from the analysis unit, analyzes the change value of the daily power generation efficiency in units of a certain period, and provides to the customer of the target generator and/or the operator of the power generation efficiency management system Part; power generation efficiency management system further comprising.
7. The method of claim 6,
The comprehensive diagnosis unit,
When the change value of the daily power generation efficiency is greater than or equal to a predetermined change value, the reference power generation amount of the target generator, the actual power generation amount of the target generator, and the predetermined period to the customer of the target generator and/or the operator of the power generation efficiency management system Power generation efficiency management system, characterized in that for providing a change value of the power generation efficiency of the target generator as an analysis result.
7. The method of claim 6,
The comprehensive diagnosis unit,
For a given period of time,
To the customer of the target generator and / or the operator of the power generation efficiency management system, the reference power generation amount of the target generator, the actual power generation amount of the target generator, and the generation efficiency change value of the target generator for the predetermined period are provided as an analysis result Power generation efficiency management system, characterized in that.
As a method for managing power generation efficiency of a solar power generator,
a collecting step of collecting, by an information collection unit, daily insolation for each region from an external observation system and collecting each daily amount of electricity from a plurality of photovoltaic generators;
A selection step of selecting at least one control generator from the plurality of photovoltaic generators for the selection unit to analyze the power generation efficiency of the target generator; and
An analysis step of analyzing the power generation efficiency of the target generator based on the daily power generation amount of each of the control generators selected by the analysis unit;
The selection step is
first selecting solar generators having a distance from the target generator within a reference distance; and
Selecting a final control generator through the correlation analysis of the daily power generation amount of each of the firstly selected solar power generators and the daily power generation amount of the target generator; power generation efficiency management method comprising a.
10. The method of claim 9,
The selection step is
Power generation efficiency management method, characterized in that for setting the reference distance based on the daily insolation received from the information collection unit.
10. The method of claim 9,
The selection step is
Power generation efficiency management method, characterized in that the correlation analysis is performed based on a value obtained by dividing the daily power generation amount of each photovoltaic generator by the installed capacity.
10. The method of claim 9,
The analysis step is
calculating a reference power generation amount of the target generator through regression analysis using the daily power generation amount of each of the selected control generators; and
Comparing the difference between the reference power generation amount and the actual power generation amount of the target generator, calculating the power generation efficiency of the target generator; generating efficiency management method comprising a.
13. The method of claim 12,
A comprehensive diagnosis step of receiving the daily power generation efficiency of the target generator from the analysis unit, analyzing the change value of the daily power generation efficiency in units of a certain period, and providing it to a customer of the target generator and/or an operator of a power generation efficiency management system ; Power generation efficiency management method further comprising.
14. The method of claim 13,
The comprehensive diagnosis step is
When the change value of the daily power generation efficiency is greater than or equal to a predetermined change value, the reference power generation amount of the target generator, the actual power generation amount of the target generator, and the predetermined period to the customer of the target generator and/or the operator of the power generation efficiency management system Power generation efficiency management method, characterized in that providing the power generation efficiency change value of the target generator as an analysis result.
14. The method of claim 13,
The comprehensive diagnosis step is
For a given period of time,
To the customer of the target generator and / or the operator of the power generation efficiency management system, the reference power generation amount of the target generator, the actual power generation amount of the target generator, and the generation efficiency change value of the target generator for the predetermined period are provided as an analysis result Power generation efficiency management method, characterized in that.

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