CN116307915B - Remote photovoltaic power generation operation and maintenance management and control system based on cloud technology - Google Patents
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Abstract
The invention relates to a remote photovoltaic power generation operation and maintenance management and control system based on cloud technology, in particular to the technical field of photovoltaic power generation, wherein a data acquisition module is used for acquiring the electric quantity of a photovoltaic power station input power grid, the nominal capacity of a component installation and the peak sunlight hours in a t time period, and the temperature and the stain forming time of a photovoltaic area; the data operation module is used for calculating the system efficiency, the average system efficiency, the temperature difference value between the temperature and the standard temperature of the photovoltaic power station and the time difference value between the stain forming time and the average time of the photovoltaic power station; the fault alarm module is used for judging whether the generated energy meets the standard, whether the generating efficiency is influenced and whether the cleaning frequency of the photovoltaic module is corrected; the data analysis module selects an adjustment mode of the angle of the photovoltaic module and a correction mode of the cleaning frequency; the data storage module is used for storing the system efficiency and the stain forming time of the photovoltaic power station in the historical data; the electricity generating efficiency of the photovoltaic power station is further improved.
Description
Technical Field
The invention relates to the technical field of photovoltaic power generation, in particular to a remote photovoltaic power generation operation and maintenance management and control system based on cloud technology.
Background
The photovoltaic power station is taken as an important asset, the importance of operation and maintenance is self-evident, from the view of operation and maintenance, for the power station which has been taken over, firstly, a reasonable operation and maintenance division and scientific management system such as a production operation system, a safety management system, an emergency fire protection system, a device operation rule and the like are formulated according to the power station and personnel allocation conditions, wherein the daily inspection work specified by the production operation system, the regular inspection and the inspection under special conditions are indispensable, the operation state of the power station can be mastered in time, the existing or potential problems are found, and the normal power generation is ensured.
Chinese patent publication No.: CN106384297a discloses an operation and maintenance method and system for photovoltaic power generation, and provides a photovoltaic power generation operation and maintenance method, which comprises the following steps: the server determines type information of data according to the serial numbers of the data sent by the photovoltaic sub-stations, and determines the state of power generation equipment according to the type information of the data; when the state of the power generation equipment is an abnormal operation state, the server forwards abnormal operation information to the photovoltaic substation through a terminal; when the state of the power generation equipment is in a normal running state, the server sends analyzed target data and the number of the data to a terminal, wherein the target data is the data after the data analysis; and the terminal displays the target data to a user.
Therefore, the problem that the photovoltaic power station is not accurately monitored so that the electricity generation efficiency is low exists in the prior art.
Disclosure of Invention
Therefore, the invention provides a remote photovoltaic power generation operation and maintenance management and control system based on cloud technology, which is used for solving the problem that the photovoltaic power station is not accurately monitored in the prior art so that the power generation efficiency is low.
In order to achieve the above object, the present invention provides a remote photovoltaic power generation operation and maintenance management and control system based on cloud technology, comprising:
the data acquisition module is used for acquiring the electric quantity of the photovoltaic power station input power grid, the nominal capacity of the photovoltaic power station assembly machine and the peak sunlight hours on the photovoltaic square matrix surface in the t time period, acquiring the temperature of the photovoltaic area and acquiring the time for forming the stain on the photovoltaic assembly;
the data operation module is connected with the data acquisition module and used for calculating the system efficiency of the photovoltaic power station, calculating the average system efficiency of the photovoltaic power station in the historical data, calculating the temperature difference value between the temperature of the photovoltaic area and the standard temperature which does not influence the power generation efficiency of the photovoltaic module, and calculating the time difference value between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data;
the fault alarm module is respectively connected with the data acquisition module and the data operation module and is used for judging whether the generated energy meets the standard according to the system efficiency of the photovoltaic power station, judging whether the generated energy is influenced according to the temperature of the photovoltaic area and judging whether the cleaning frequency of the photovoltaic module is corrected according to the time of stain formation;
the data analysis module is respectively connected with the data operation module and the fault alarm module and is used for determining an adjusting mode of the angle of the photovoltaic module according to the temperature difference value and determining a correction mode of correcting the cleaning frequency of the photovoltaic module according to the time difference value;
the data storage module is respectively connected with the data operation module and the data analysis module and is used for storing the system efficiency of the photovoltaic power station in the historical data and storing the time of stain formation in the historical data;
the data acquisition module acquires the temperature of the photovoltaic area, the fault alarm module determines the temperature of the photovoltaic area and compares the temperature with a standard temperature which does not influence the power generation efficiency of the photovoltaic module so as to judge whether the power generation efficiency of the photovoltaic area pair is influenced or not;
when the power generation efficiency of the photovoltaic area is judged to be influenced, the data analysis module determines an adjustment mode for the angle of the photovoltaic module according to the temperature difference value between the temperature of the photovoltaic area and the standard temperature which does not influence the power generation efficiency of the photovoltaic module.
Further, the data acquisition module acquires the electric quantity of the photovoltaic power station input power grid, the nominal capacity of the photovoltaic power station assembly machine and the peak sunlight hours on the photovoltaic square matrix within the t time period, so that the data operation module calculates the system efficiency E of the photovoltaic power station, and sets
Wherein Et represents the electric quantity of the power grid input by the photovoltaic power station in the t time period, pe represents the nominal capacity of the photovoltaic power station assembly machine, and Ht represents the peak sunlight hours on the photovoltaic array surface in the t time period.
Further, the fault warning module determines the system efficiency of the photovoltaic power plant calculated by the data operation module, the system efficiency corresponding to the average system efficiency of the photovoltaic power plant in the data storage module,
if the system efficiency is at a first efficiency level, the fault warning module judges that the generated energy of the photovoltaic power station does not reach the standard;
if the system efficiency is at the second efficiency level, the fault warning module judges that the generated energy of the photovoltaic power station reaches the standard;
the first efficiency level satisfies that the system efficiency of the photovoltaic power station is smaller than the average system efficiency of the photovoltaic power station in the data storage module, and the second efficiency level satisfies that the system efficiency of the photovoltaic power station is greater than or equal to the average system efficiency of the photovoltaic power station in the data storage module.
Further, the data acquisition module acquires the temperature of the photovoltaic region, the fault alarm module determines the temperature of the photovoltaic region, the temperature corresponds to the standard temperature which does not affect the power generation efficiency of the photovoltaic module,
if the temperature of the photovoltaic area is at a first temperature level, the fault alarm module judges that the power generation efficiency of the photovoltaic area is not affected;
if the temperature of the photovoltaic area is at the second temperature level, the fault alarm module judges that the power generation efficiency of the photovoltaic area is affected;
the first temperature level meets the standard temperature of the photovoltaic area, which is less than or equal to the standard temperature without affecting the power generation efficiency of the photovoltaic module, and the second temperature level meets the standard temperature of the photovoltaic area, which is greater than the standard temperature without affecting the power generation efficiency of the photovoltaic module.
Further, the data analysis module is provided with an adjustment mode for adjusting the angle of the photovoltaic module at a second temperature level, wherein,
the first adjusting mode is that the data analysis module adjusts the initial angle to a first angle;
the second adjusting mode is that the data analysis module adjusts the initial angle to a second angle;
the third adjusting mode is that the data analysis module adjusts the initial angle to a third angle;
wherein the initial angle > the first angle > the second angle > the third angle.
Further, the data operation module calculates the temperature difference between the temperature of the photovoltaic region and the standard temperature which does not affect the power generation efficiency of the photovoltaic module, the data analysis module determines the adjustment mode of the angle of the photovoltaic module, wherein,
if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is smaller than or equal to a first preset temperature difference, the data analysis module determines to select the first adjustment mode;
if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is larger than the first preset temperature difference and smaller than or equal to the second preset temperature difference, the data analysis module determines to select the second adjustment mode;
and if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is larger than a second preset temperature difference, the data analysis module determines to select the third adjustment mode.
Further, the data acquisition module acquires a plurality of images of the photovoltaic modules, the data operation module determines the similarity between the images and the standard images, the fault alarm module compares the similarity with a similarity standard to determine whether the photovoltaic modules have stains or not according to the comparison result,
if the similarity is at a first similarity level, the fault warning module judges that the photovoltaic module has a stain;
if the similarity is at a second similarity level, the fault warning module judges that no stain exists on the photovoltaic module;
the first similarity level meets the similarity standard that the similarity is smaller than the similarity standard, and the second similarity level meets the similarity standard that the similarity is larger than or equal to the similarity standard.
Further, the data acquisition module acquires the time of stain formation on the photovoltaic module, the fault alarm module determines the time of stain formation on the photovoltaic module, compares the time with the average time of stain formation in the historical data stored in the data storage module, judges whether to correct the cleaning frequency of the photovoltaic module according to the comparison result,
if the time of stain formation on the photovoltaic module is at a first time level, the fault alarm module judges that the cleaning frequency of the photovoltaic module is corrected;
if the time of stain formation on the photovoltaic module is at a second time level, the fault alarm module judges that the cleaning frequency of the photovoltaic module is not corrected;
the first time level meets the condition that the time for forming the stain on the photovoltaic module is smaller than the average time for forming the stain in the historical data, and the second time level meets the condition that the time for forming the stain on the photovoltaic module is larger than or equal to the average time for forming the stain in the historical data.
Further, the data analysis module is provided with a correction mode for correcting the cleaning frequency of the photovoltaic module at a first time level, wherein,
the first correction mode is that the data analysis module corrects the initial cleaning frequency to a first cleaning frequency;
the second correction mode is that the data analysis module corrects the initial cleaning frequency to a second cleaning frequency;
the third correction mode is that the data analysis module corrects the initial cleaning frequency to a third cleaning frequency;
wherein, the initial cleaning frequency is greater than the first cleaning frequency, the second cleaning frequency is greater than the third cleaning frequency.
Further, the data operation module calculates a time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data, the data analysis module determines a correction mode for correcting the cleaning frequency of the photovoltaic module, wherein,
if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is smaller than or equal to a first preset time difference, the data analysis module determines to select the first correction mode;
if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is larger than the first preset time difference and smaller than or equal to the second preset time difference, the data analysis module determines to select the second correction mode;
and if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is larger than a second preset time difference, the data analysis module determines to select the third correction mode.
Compared with the prior art, the method has the beneficial effects that the system efficiency of the photovoltaic power station is characterized by collecting the electric quantity of the power grid input by the photovoltaic power station, the nominal capacity of the photovoltaic power station assembly machine and the peak sunlight hours on the photovoltaic square matrix in the t time period, comparing the system efficiency with the average efficiency of the photovoltaic power station in the data storage module, and judging whether the generated energy of the photovoltaic power station reaches the standard according to the comparison result, so that the electricity generation efficiency of the photovoltaic power station is further improved through accurate monitoring of the photovoltaic power station.
Further, the temperature of the photovoltaic area is collected, the temperature of the photovoltaic area is compared with the standard temperature which does not influence the power generation efficiency of the photovoltaic module through analysis of the temperature of the photovoltaic area, whether the power generation efficiency of the photovoltaic area is influenced or not is further determined, and when the temperature of the photovoltaic area is larger than the standard temperature which does not influence the power generation efficiency of the photovoltaic module, the power generation efficiency is determined to be influenced, so that the power generation efficiency of the photovoltaic power station is further improved through accurate monitoring of the photovoltaic power station.
Further, when it is determined that the power generation efficiency of the photovoltaic region is affected, the data analysis module determines an adjustment mode for the angle of the photovoltaic module according to a temperature difference value between the temperature of the photovoltaic region and a standard temperature which does not affect the power generation efficiency of the photovoltaic module, and through adjustment of the angle, the shadow area of the photovoltaic module is reduced, and the power generation efficiency of the photovoltaic power station is further improved.
Further, the invention compares the similarity with the similarity standard by collecting a plurality of images of the photovoltaic modules and determining the similarity between the images and the standard images, determines whether the photovoltaic modules have stain formation according to the comparison result, and when the stain formation is determined, collects the time of the stain formation and compares the time with the average time of the stain formation in the historical data to determine whether to correct the cleaning frequency of the photovoltaic modules, thereby further improving the electricity generation efficiency of the photovoltaic power station through the accurate monitoring of the photovoltaic power station.
Further, when it is determined that the cleaning frequency of the photovoltaic module needs to be corrected, the data analysis module determines a correction mode for correcting the cleaning frequency of the photovoltaic module according to a time difference value between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data, and through increasing the cleaning frequency, the cleaning degree of the photovoltaic module is further improved, and the electricity generating efficiency of the photovoltaic power station is further improved.
Drawings
Fig. 1 is a structural block diagram of a remote photovoltaic power generation operation and maintenance management and control system based on cloud technology according to the present invention;
fig. 2 is a flowchart of a remote photovoltaic power generation operation and maintenance management and control system based on cloud technology.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1 and 2, fig. 1 is a block diagram illustrating a remote photovoltaic power generation operation and maintenance management and control system based on cloud technology according to the present invention; fig. 2 is a flowchart of a remote photovoltaic power generation operation and maintenance management and control system based on cloud technology.
The remote photovoltaic power generation operation and maintenance management and control system based on cloud technology provided by the embodiment of the invention comprises the following components:
the data acquisition module is used for acquiring the electric quantity of the photovoltaic power station input power grid, the nominal capacity of the photovoltaic power station assembly machine and the peak sunlight hours on the photovoltaic square matrix surface in the t time period, acquiring the temperature of the photovoltaic area and acquiring the time for forming the stain on the photovoltaic assembly;
the data operation module is connected with the data acquisition module and used for calculating the system efficiency of the photovoltaic power station, calculating the average system efficiency of the photovoltaic power station in the historical data, calculating the temperature difference value between the temperature of the photovoltaic area and the standard temperature which does not influence the power generation efficiency of the photovoltaic module, and calculating the time difference value between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data;
the fault alarm module is respectively connected with the data acquisition module and the data operation module and is used for judging whether the generated energy meets the standard according to the system efficiency of the photovoltaic power station, judging whether the generated energy is influenced according to the temperature of the photovoltaic area and judging whether the cleaning frequency of the photovoltaic module is corrected according to the time of stain formation;
the data analysis module is respectively connected with the data operation module and the fault alarm module and is used for determining an adjusting mode of the angle of the photovoltaic module according to the temperature difference value and determining a correction mode of correcting the cleaning frequency of the photovoltaic module according to the time difference value;
the data storage module is respectively connected with the data operation module and the data analysis module and is used for storing the system efficiency of the photovoltaic power station in the historical data and storing the time of stain formation in the historical data;
the data acquisition module acquires the temperature of the photovoltaic area, the fault alarm module determines the temperature of the photovoltaic area and compares the temperature with a standard temperature which does not influence the power generation efficiency of the photovoltaic module so as to judge whether the power generation efficiency of the photovoltaic area pair is influenced or not;
when the power generation efficiency of the photovoltaic area is judged to be influenced, the data analysis module determines an adjustment mode for the angle of the photovoltaic module according to the temperature difference value between the temperature of the photovoltaic area and the standard temperature which does not influence the power generation efficiency of the photovoltaic module.
Specifically, the data acquisition module acquires the electric quantity of the photovoltaic power station input power grid, the nominal capacity of the photovoltaic power station assembly machine and the peak sunlight hours on the photovoltaic square matrix within the t time period, so that the data operation module calculates the system efficiency E of the photovoltaic power station, and sets
Wherein Et represents the electric quantity of the power grid input by the photovoltaic power station in the t time period, pe represents the nominal capacity of the photovoltaic power station assembly machine, and Ht represents the peak sunlight hours on the photovoltaic array surface in the t time period.
In particular, the fault alerting module determines a system efficiency of the photovoltaic power plant calculated by the data operation module, the system efficiency corresponding to an average system efficiency of the photovoltaic power plant in the data storage module,
if the system efficiency is at a first efficiency level, the fault warning module judges that the generated energy of the photovoltaic power station does not reach the standard;
if the system efficiency is at the second efficiency level, the fault warning module judges that the generated energy of the photovoltaic power station reaches the standard;
the first efficiency level satisfies that the system efficiency of the photovoltaic power station is smaller than the average system efficiency of the photovoltaic power station in the data storage module, and the second efficiency level satisfies that the system efficiency of the photovoltaic power station is greater than or equal to the average system efficiency of the photovoltaic power station in the data storage module.
In the embodiment of the invention, the data operation module calculates the average system efficiency Ep of the photovoltaic power station in the historical data and sets the average system efficiency Ep of the photovoltaic power station in the historical dataWhere Ez represents the total system efficiency in the history and n represents the number of t time periods in the history.
In particular, the data acquisition module acquires the temperature of the photovoltaic region, the fault alarm module determines the temperature of the photovoltaic region, the temperature corresponds to the standard temperature which does not affect the power generation efficiency of the photovoltaic component,
if the temperature of the photovoltaic area is at a first temperature level, the fault alarm module judges that the power generation efficiency of the photovoltaic area is not affected;
if the temperature of the photovoltaic area is at the second temperature level, the fault alarm module judges that the power generation efficiency of the photovoltaic area is affected;
the first temperature level meets the standard temperature of the photovoltaic area, which is less than or equal to the standard temperature without affecting the power generation efficiency of the photovoltaic module, and the second temperature level meets the standard temperature of the photovoltaic area, which is greater than the standard temperature without affecting the power generation efficiency of the photovoltaic module.
In particular, the data analysis module is provided with an adjusting mode for adjusting the angle of the photovoltaic module at a second temperature level, wherein,
the first adjusting mode is that the data analysis module adjusts the initial angle to a first angle;
the second adjusting mode is that the data analysis module adjusts the initial angle to a second angle;
the third adjusting mode is that the data analysis module adjusts the initial angle to a third angle;
wherein the initial angle > the first angle > the second angle > the third angle.
In the embodiment of the invention, the initial angle is an included angle between the photovoltaic module and the horizontal plane.
Specifically, the data operation module calculates the temperature difference between the temperature of the photovoltaic region and the standard temperature which does not affect the power generation efficiency of the photovoltaic module, the data analysis module determines the adjustment mode of the angle of the photovoltaic module, wherein,
if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is smaller than or equal to a first preset temperature difference, the data analysis module determines to select the first adjustment mode;
if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is larger than the first preset temperature difference and smaller than or equal to the second preset temperature difference, the data analysis module determines to select the second adjustment mode;
and if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is larger than a second preset temperature difference, the data analysis module determines to select the third adjustment mode.
The invention provides a preferred embodiment for adjusting the angle of the photovoltaic module, which comprises the following specific embodiments:
a first regulating coefficient K1, a second regulating coefficient K2 and a third regulating coefficient K3 are preset in the data analysis module, K3 is more than 0.8 and less than K2 and less than 1, a first preset temperature difference value delta H1 and a second preset temperature difference value delta H2 are also arranged in the data analysis module, delta H1 is less than delta H2, the data analysis module calculates a temperature difference value delta H between the temperature H of the photovoltaic area and a standard temperature Hb which does not affect the power generation efficiency of the photovoltaic module at a second temperature level, delta H=H-Hb is set, the data analysis module compares the temperature difference value delta H with delta H1 and delta H2 respectively to determine the regulating mode of the angle of the photovoltaic module,
if Δh is less than or equal to Δh1, the data analysis module determines to select the first adjustment mode, specifically, selects a first adjustment coefficient K1 to adjust the initial angle A0 to a first angle A1, and sets a1=a0×k1;
if Δh1 is smaller than Δh and smaller than or equal to Δh2, the data analysis module determines to select the second adjustment mode, specifically, selects a second adjustment coefficient K2 to adjust the initial angle A0 to a second angle A2, and sets a2=a0×k2;
if Δh > Δh2, the data analysis module determines to select the third adjustment mode, specifically, selects a third adjustment coefficient K3 to adjust the initial angle A0 to a third angle A3, and sets a3=a0×k3;
A0＞A1＞A2＞A3。
in this embodiment, 0.8 < K3 < 0.85 < K2 < 0.9 < K1 < 1, preferably k1=0.95, k2=0.88, k3=0.83, in this embodiment, the initial angle is 30 °, the temperature of the photovoltaic region is 30 ℃, the standard temperature that does not affect the power generation efficiency of the photovoltaic module is 65 ℃,5 ° < Δh1 < 7 ° < Δh2 < 9 °, and in this embodiment, Δh1=6 °, Δh2=8 °.
In particular, the data acquisition module acquires a plurality of images of the photovoltaic modules, the data operation module determines the similarity between the images and a standard image, the fault alarm module compares the similarity with a similarity standard to determine whether the photovoltaic modules have stains or not according to the comparison result,
if the similarity is at a first similarity level, the fault warning module judges that the photovoltaic module has a stain;
if the similarity is at a second similarity level, the fault warning module judges that no stain exists on the photovoltaic module;
the first similarity level meets the similarity standard that the similarity is smaller than the similarity standard, and the second similarity level meets the similarity standard that the similarity is larger than or equal to the similarity standard.
In the embodiment of the invention, the standard image is an image when the photovoltaic module has no fault and no foreign matter exists on the surface of the photovoltaic module.
Specifically, the data acquisition module acquires the time of stain formation on the photovoltaic module, the fault alarm module determines the time of stain formation on the photovoltaic module, compares the time with the average time of stain formation in the historical data stored in the data storage module, judges whether to correct the cleaning frequency of the photovoltaic module according to the comparison result,
if the time of stain formation on the photovoltaic module is at a first time level, the fault alarm module judges that the cleaning frequency of the photovoltaic module is corrected;
if the time of stain formation on the photovoltaic module is at a second time level, the fault alarm module judges that the cleaning frequency of the photovoltaic module is not corrected;
the first time level meets the condition that the time for forming the stain on the photovoltaic module is smaller than the average time for forming the stain in the historical data, and the second time level meets the condition that the time for forming the stain on the photovoltaic module is larger than or equal to the average time for forming the stain in the historical data.
In particular, the data analysis module is provided with a correction mode for correcting the cleaning frequency of the photovoltaic module at a first time level, wherein,
the first correction mode is that the data analysis module corrects the initial cleaning frequency to a first cleaning frequency;
the second correction mode is that the data analysis module corrects the initial cleaning frequency to a second cleaning frequency;
the third correction mode is that the data analysis module corrects the initial cleaning frequency to a third cleaning frequency;
wherein, the initial cleaning frequency is greater than the first cleaning frequency, the second cleaning frequency is greater than the third cleaning frequency.
Specifically, the data operation module calculates a time difference between a time of forming the stain on the photovoltaic module and an average time of forming the stain in the history data, and the data analysis module determines a correction mode for correcting the cleaning frequency of the photovoltaic module, wherein,
if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is smaller than or equal to a first preset time difference, the data analysis module determines to select the first correction mode;
if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is larger than the first preset time difference and smaller than or equal to the second preset time difference, the data analysis module determines to select the second correction mode;
and if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is larger than a second preset time difference, the data analysis module determines to select the third correction mode.
The invention provides a preferred embodiment for correcting the cleaning frequency of the photovoltaic module, which comprises the following specific embodiments:
a first correction coefficient X1, a second correction coefficient X2 and a third correction coefficient X3 are preset in the data analysis module, 0.5 < X3 < X2 < X1 < 1, a first preset time difference value delta Q1 and a second preset time difference value delta Q2 are also arranged in the data analysis module, delta Q1 < delta Q2, the data analysis module calculates a time difference value delta Q of the average time Qp of the time Q of the spot formation on the photovoltaic module and the spot formation in the historical data at a first time level, delta Q=qp-Q is set, the data analysis module compares the time difference value delta Q with the delta Q1 and the delta Q2 respectively to determine a correction mode of correcting the cleaning frequency of the photovoltaic module,
if Δq is less than or equal to Δq1, the data analysis module determines to select the first correction mode, specifically, selects a first correction coefficient X1 to correct the initial cleaning frequency V0 to the first cleaning frequency V1, and sets v1=v0×x1;
if Δq1 is smaller than Δq and smaller than Δq2, the data analysis module determines to select the second correction mode, specifically, selects a second correction coefficient X2 to correct the initial cleaning frequency V0 to the second cleaning frequency V2, and sets v2=v0×x2;
if Δq > Δq2, the data analysis module determines to select the third correction mode, specifically, selects a third correction coefficient X3 to correct the initial cleaning frequency V0 to a third cleaning frequency V3, and sets v3=v0×x3;
V0＞V1＞V2＞V3。
in this embodiment, 0.5 < X3 < 0.75 < X2 < 0.9 < X1 < 1, preferably x1=0.95, x2=0.80, x3=0.65, in this embodiment, the initial cleaning frequency is 6 months/time, the time for forming the stain on the photovoltaic module is 3 months, the average time for forming the stain in the history data is 6 months, 0.5 < Δq1 < 1.5 < Δq2 < 3, preferably Δq1=1 month, and Δq2=2 months.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. Remote photovoltaic power generation operation and maintenance management and control system based on cloud technology, characterized by comprising:
the data acquisition module is used for acquiring the electric quantity of the photovoltaic power station input power grid, the nominal capacity of the photovoltaic power station assembly machine and the peak sunlight hours on the photovoltaic square matrix surface in the t time period, acquiring the temperature of the photovoltaic area and acquiring the time for forming the stain on the photovoltaic assembly;
the data operation module is connected with the data acquisition module and used for calculating the system efficiency of the photovoltaic power station, calculating the average system efficiency of the photovoltaic power station in the historical data, calculating the temperature difference value between the temperature of the photovoltaic area and the standard temperature which does not influence the power generation efficiency of the photovoltaic module, and calculating the time difference value between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data;
the fault alarm module is respectively connected with the data acquisition module and the data operation module and is used for judging whether the generated energy meets the standard according to the system efficiency of the photovoltaic power station, judging whether the generated energy is influenced according to the temperature of the photovoltaic area and judging whether the cleaning frequency of the photovoltaic module is corrected according to the time of stain formation;
the data analysis module is respectively connected with the data operation module and the fault alarm module and is used for determining an adjusting mode of the angle of the photovoltaic module according to the temperature difference value and determining a correction mode of correcting the cleaning frequency of the photovoltaic module according to the time difference value;
the data storage module is respectively connected with the data operation module and the data analysis module and is used for storing the system efficiency of the photovoltaic power station in the historical data and storing the time of stain formation in the historical data;
the data acquisition module acquires the temperature of the photovoltaic area, the fault alarm module determines the temperature of the photovoltaic area and compares the temperature with a standard temperature which does not influence the power generation efficiency of the photovoltaic module so as to judge whether the power generation efficiency of the photovoltaic area pair is influenced or not;
when the power generation efficiency of the photovoltaic area is judged to be influenced, the data analysis module determines an adjustment mode for the angle of the photovoltaic module according to the temperature difference value between the temperature of the photovoltaic area and the standard temperature which does not influence the power generation efficiency of the photovoltaic module.
2. The cloud technology-based remote photovoltaic power generation operation and maintenance control system according to claim 1, wherein the data acquisition module acquires the electric quantity of the photovoltaic power station input power grid, the nominal capacity of the photovoltaic power station assembly machine and the peak sunlight hours on the photovoltaic array surface within a t time period, so that the data operation module calculates the system efficiency E of the photovoltaic power station, and sets
，
Wherein Et represents the electric quantity of the power grid input by the photovoltaic power station in the t time period, pe represents the nominal capacity of the photovoltaic power station assembly machine, and Ht represents the peak sunlight hours on the photovoltaic array surface in the t time period.
3. The cloud technology based remote photovoltaic power generation operation and maintenance management and control system according to claim 2, wherein the fault alarm module determines the system efficiency of the photovoltaic power station calculated by the data operation module, the system efficiency corresponds to the average system efficiency of the photovoltaic power station in the data storage module,
if the system efficiency is at a first efficiency level, the fault warning module judges that the generated energy of the photovoltaic power station does not reach the standard;
if the system efficiency is at the second efficiency level, the fault alarm module judges that the generated energy of the photovoltaic power station reaches the standard;
the first efficiency level satisfies that the system efficiency of the photovoltaic power station is smaller than the average system efficiency of the photovoltaic power station in the data storage module, and the second efficiency level satisfies that the system efficiency of the photovoltaic power station is greater than or equal to the average system efficiency of the photovoltaic power station in the data storage module.
4. The cloud technology-based remote photovoltaic power generation operation and maintenance control system according to claim 3, wherein the data acquisition module acquires the temperature of the photovoltaic region, the fault alarm module determines the temperature of the photovoltaic region, the temperature corresponds to a standard temperature which does not affect the power generation efficiency of the photovoltaic module,
if the temperature of the photovoltaic area is at a first temperature level, the fault alarm module judges that the power generation efficiency of the photovoltaic area is not affected;
if the temperature of the photovoltaic area is at the second temperature level, the fault alarm module judges that the power generation efficiency of the photovoltaic area is affected;
the first temperature level meets the standard temperature of the photovoltaic area, which is less than or equal to the standard temperature without affecting the power generation efficiency of the photovoltaic module, and the second temperature level meets the standard temperature of the photovoltaic area, which is greater than the standard temperature without affecting the power generation efficiency of the photovoltaic module.
5. The cloud technology-based remote photovoltaic power generation operation and maintenance control system according to claim 4, wherein the data analysis module is provided with an adjustment mode for adjusting the angle of the photovoltaic module at a second temperature level, wherein,
the first adjusting mode is that the data analysis module adjusts the initial angle to a first angle;
the second adjusting mode is that the data analysis module adjusts the initial angle to a second angle;
the third adjusting mode is that the data analysis module adjusts the initial angle to a third angle;
wherein the initial angle > the first angle > the second angle > the third angle.
6. The cloud technology-based remote photovoltaic power generation operation and maintenance control system according to claim 5, wherein the data operation module calculates a temperature difference between the temperature of the photovoltaic region and a standard temperature that does not affect the power generation efficiency of the photovoltaic module, the data analysis module determines an adjustment mode for the angle of the photovoltaic module, wherein,
if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is smaller than or equal to a first preset temperature difference, the data analysis module determines to select the first adjustment mode;
if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is larger than the first preset temperature difference and smaller than or equal to the second preset temperature difference, the data analysis module determines to select the second adjustment mode;
and if the temperature difference between the temperature of the photovoltaic area and the standard temperature which does not affect the power generation efficiency of the photovoltaic module is larger than a second preset temperature difference, the data analysis module determines to select the third adjustment mode.
7. The cloud technology-based remote photovoltaic power generation operation and maintenance control system according to claim 6, wherein the data acquisition module acquires images of a plurality of photovoltaic modules, the data operation module determines similarity between the images and standard images, the fault alarm module compares the similarity with a similarity standard, determines whether there is a stain on the photovoltaic modules according to the comparison result,
if the similarity is at a first similarity level, the fault warning module judges that the photovoltaic module has a stain;
if the similarity is at a second similarity level, the fault warning module judges that no stain exists on the photovoltaic module;
the first similarity level meets the similarity standard that the similarity is smaller than the similarity standard, and the second similarity level meets the similarity standard that the similarity is larger than or equal to the similarity standard.
8. The cloud technology-based remote photovoltaic power generation operation and maintenance control system according to claim 7, wherein the data acquisition module acquires the time of stain formation on the photovoltaic module, the fault alarm module determines the time of stain formation on the photovoltaic module, compares the time with the average time of stain formation in the historical data stored in the data storage module, determines whether to correct the cleaning frequency of the photovoltaic module according to the comparison result,
if the time of stain formation on the photovoltaic module is at a first time level, the fault alarm module judges that the cleaning frequency of the photovoltaic module is corrected;
if the time of stain formation on the photovoltaic module is at a second time level, the fault alarm module judges that the cleaning frequency of the photovoltaic module is not corrected;
the first time level meets the condition that the time for forming the stain on the photovoltaic module is smaller than the average time for forming the stain in the historical data, and the second time level meets the condition that the time for forming the stain on the photovoltaic module is larger than or equal to the average time for forming the stain in the historical data.
9. The cloud technology-based remote photovoltaic power generation operation and maintenance management and control system according to claim 8, wherein the data analysis module is provided with a correction mode for correcting the cleaning frequency of the photovoltaic module at a first time level, wherein,
the first correction mode is that the data analysis module corrects the initial cleaning frequency to a first cleaning frequency;
the second correction mode is that the data analysis module corrects the initial cleaning frequency to a second cleaning frequency;
the third correction mode is that the data analysis module corrects the initial cleaning frequency to a third cleaning frequency;
wherein, the initial cleaning frequency is greater than the first cleaning frequency, the second cleaning frequency is greater than the third cleaning frequency.
10. The cloud technology-based remote photovoltaic power generation operation and maintenance control system according to claim 9, wherein the data operation module calculates a time difference between a time of stain formation on the photovoltaic module and an average time of stain formation in the history data, the data analysis module determines a correction mode for correcting the cleaning frequency of the photovoltaic module, wherein,
if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is smaller than or equal to a first preset time difference, the data analysis module determines to select the first correction mode;
if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is larger than the first preset time difference and smaller than or equal to the second preset time difference, the data analysis module determines to select the second correction mode;
and if the time difference between the time of forming the stain on the photovoltaic module and the average time of forming the stain in the historical data is larger than a second preset time difference, the data analysis module determines to select the third correction mode.
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