CN116667783A - Distributed photovoltaic power station maintenance system - Google Patents
Distributed photovoltaic power station maintenance system Download PDFInfo
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- CN116667783A CN116667783A CN202310702912.2A CN202310702912A CN116667783A CN 116667783 A CN116667783 A CN 116667783A CN 202310702912 A CN202310702912 A CN 202310702912A CN 116667783 A CN116667783 A CN 116667783A
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- 238000012423 maintenance Methods 0.000 title claims abstract description 100
- 239000000428 dust Substances 0.000 claims abstract description 30
- 238000006243 chemical reaction Methods 0.000 claims abstract description 25
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 238000001514 detection method Methods 0.000 claims abstract description 17
- 238000007405 data analysis Methods 0.000 claims abstract description 15
- 238000012545 processing Methods 0.000 claims abstract description 8
- 238000010248 power generation Methods 0.000 claims description 22
- 238000004458 analytical method Methods 0.000 claims description 11
- 230000007613 environmental effect Effects 0.000 claims description 11
- 238000000034 method Methods 0.000 claims description 11
- 238000005286 illumination Methods 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 4
- 230000003749 cleanliness Effects 0.000 claims description 4
- 230000002159 abnormal effect Effects 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000009991 scouring Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02B—BOARDS, SUBSTATIONS OR SWITCHING ARRANGEMENTS FOR THE SUPPLY OR DISTRIBUTION OF ELECTRIC POWER
- H02B3/00—Apparatus specially adapted for the manufacture, assembly, or maintenance of boards or switchgear
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The application discloses a distributed photovoltaic power station maintenance system, which relates to the technical field of solar energy, and comprises the steps of firstly monitoring a target station through an environment monitoring module, then monitoring electric quantity information of the target station through an electric quantity monitoring module, then calculating dust degree of a photovoltaic module of the target station through data information of the external environment of the target station through a formula by a detection data analysis module, obtaining electric energy conversion rate of the target station according to electric quantity input information and electric quantity output information of the target station, processing the dust degree and the electric energy conversion rate of the target station, simultaneously combining maintenance information of the target station, calculating maintenance value of the target station through the formula, generating maintenance signals corresponding to the target station according to the maintenance value of the target station, transmitting the maintenance signals to related management personnel for maintenance, and converting passive maintenance into active maintenance to prevent abnormal power generated by the power station due to equipment faults.
Description
Technical Field
The application belongs to the technical field of solar energy, and particularly relates to a maintenance system of a distributed photovoltaic power station.
Background
With the further deepening of actions of coping with climate change in the world and China, energy transformation is accelerated, the photovoltaic industry enters a new development stage, and the application direction of photovoltaic power generation is changed from a mode of combining a large-scale ground power station dominant distribution type with a ground power station.
The application discloses an operation and maintenance management system of a photovoltaic power station, which comprises a photovoltaic power station intelligent device, a data acquisition server, a power station operation management and control platform server, a public network security gateway and a client which are connected in sequence, wherein the photovoltaic power station intelligent device is used for ensuring that a circuit is easily cut off and the power failure range is reduced when a photovoltaic system is maintained and checked; the data acquisition server is used for acquiring working parameters of the photovoltaic power station at preset time; the power station operation management and control platform server is used for classifying and storing the data acquired by the data acquisition server in a grading manner, filtering the normal data and sending out message notification to the abnormal data; the public network security gateway ensures that a client accesses measures such as security encryption of a power station operation management and control platform server; the client is used for enabling staff to monitor and diagnose the operation state of the photovoltaic power station. The system provided by the application automatically collects the operation data of the photovoltaic power station, and does not need to manually check meter reading and checking on site, so that the labor cost can be reduced, and the data quality can be improved.
For the distributed photovoltaic power station, due to various types and numbers of power generation equipment and the lack of effective alarming means and measures, operation and maintenance personnel can only passively treat faults and cannot perform timely operation and maintenance, and when the power generation assembly actively breaks down, the operation and maintenance personnel can cause certain economic loss to users and simultaneously cause inconvenience to the users.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the prior art; therefore, the application provides a distributed photovoltaic power station maintenance system which is used for solving the technical problems.
To achieve the above object, an embodiment according to a first aspect of the present application proposes a distributed photovoltaic power station maintenance system comprising:
the detection data analysis module is used for carrying out inertial analysis on maintenance values of a target site according to data information, maintenance information and electric quantity information of the target site, wherein the target site refers to a sub-site in a distributed photovoltaic power station, the data information refers to temperature, air humidity, illumination intensity, environment dust and rainfall in an external environment, the maintenance information refers to the position, fault reason and maintenance time of the target site, the electric quantity information comprises photovoltaic power generation data and user use data of the sub-site and data integrated into a power grid, and the specific method of inertial analysis comprises the following steps:
step one: the dust degree of a photovoltaic power generation component at a target site is conventionally analyzed according to environmental information, the temperature is marked as Wi, the wind power value is marked as Fi, the air humidity is marked as Si, the illumination intensity is marked as Gi, the environmental dust degree is marked as Hi, i represents different time intervals, and then a formula C is adopted i ＝(C i-1 +C 0 ) α Obtain dust value, C 0 =hi×k1+si×k2+gi×k3+fi×k4, when i=1, C i ＝C 0 When rainfall exists in the external environment, the rainfall is marked as JY, and at the momentK5 is a preset value, and JY multiplied by K5 is more than 1;
step two: firstly marking electric quantity input data as DFi, and then processing electric quantity information to obtain an electric energy conversion difference value DCi;
step three: assigning the maintenance information to C, and then adopting a formulaAnd obtaining the maintenance value of the target site, and simultaneously transmitting the obtained maintenance value to a site maintenance early warning module for early warning information warning.
As a further scheme of the application, the specific method for carrying out the conventional analysis on the dust degree comprises the following steps:
s11: firstly, selecting a target site and acquiring data of the target site, respectively acquiring corresponding environmental information in each time interval T, simultaneously marking the temperature as Wi, the wind power value as Fi, the air humidity as Si, the illumination intensity as Gi, the environmental dust degree as Hi, wherein i represents different time intervals, the wind power value comprises a direction as a vector value, and simultaneously marking the wind power value as a positive value when the inclination angle of the photovoltaic module of the target site is opposite to the wind power direction, and marking the wind power value as a negative value when the directions are the same;
s12: the cleanliness of the photovoltaic power generation assembly of the target site is subjected to dimensionality removal calculation, and a formula C is adopted i ＝(C i-1 +C 0 ) α ，C 0 Specific values of =hi×k1+si×k2+gi×k3+fi×k4, where k1+k2+k3+k4=1, K1, K2, K3, K4 are obtained by the relevant personnel from a large number of experimental data, i=1, 2, … …, when i=1, C i ＝C 0 ，C 0 C represents the dust value when the solar photovoltaic power generation module increases i The total dust value on the solar photovoltaic power generation assembly is represented, alpha is a preset value, and 0 < alpha < 1;
s13: when rainfall exists in the external environment after the ith time interval, acquiring the rainfall in the time interval, marking the rainfall as JY, and adopting a formulaWherein K5 is a preset value, JY×K5 > 1, when C i When the value is smaller than 0, C will be directly caused to be i ＝0。
As a further scheme of the application, the method for obtaining the electric energy conversion difference value DCi comprises the following steps:
firstly, acquiring an average value of the electric energy conversion rate of a photovoltaic module of a target site in normal operation, and marking the average value as Da;
and then marking the photovoltaic power generation data of the target site, namely the electric quantity input data, as DFi, marking the electric quantity output data as DCi, dividing the electric quantity output data by the electric quantity input data to obtain the conversion rate Di of electric energy, subtracting the electric energy conversion rate average Da from the electric energy conversion rate Di to obtain a difference value, and carrying out absolute value processing on the difference value to obtain an electric energy conversion difference value DCi.
As a further scheme of the application, the data information is acquired by the environment monitoring module and transmitted to the detection data analysis module.
As a further scheme of the application, the maintenance information is acquired through the maintenance information input module, when a maintenance person maintains the target site, the corresponding maintenance data is transmitted to the maintenance information input module, and meanwhile, the maintenance information input module transmits the maintenance information to the detection data analysis module.
As a further scheme of the application, the electric quantity information is acquired by the electric quantity monitoring module and is transmitted to the detection data analysis module.
Compared with the prior art, the application has the beneficial effects that: the method comprises the steps of calculating the dust degree of a photovoltaic module of a target site through data information of the external environment of the target site by adopting a formula, obtaining the electric energy conversion rate of the target site according to electric quantity input information and electric quantity output information of the target site, processing the dust degree and the electric energy conversion rate of the target site, simultaneously combining maintenance information of the target site, calculating by adopting the formula to obtain a maintenance value of the target site, generating a maintenance signal corresponding to the target site according to the maintenance value of the target site, transmitting the maintenance signal to related management personnel for maintenance, and converting passive maintenance into active maintenance to prevent abnormal power generation of a power station caused by equipment failure, thereby reducing operation and maintenance cost and improving the benefit of the power station.
Drawings
Fig. 1 is a schematic diagram of a system frame of the present application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Referring to fig. 1, the application provides a distributed photovoltaic power station maintenance system, which comprises an environment monitoring module, an electric quantity monitoring module, a detection data analysis module, a site maintenance early warning module and a maintenance information input module;
the environment monitoring module is used for carrying out timing monitoring on data information of a target site, then the environment monitoring module transmits the data information of the target site to the detection data analysis module, in the implementation, the distributed photovoltaic power station consists of a plurality of sub-sites of the photovoltaic power station and a total control center, the target site refers to the plurality of sub-sites of the distributed photovoltaic power station, the data information comprises external environment information, the external environment information is acquired by a plurality of environment detection devices arranged around the target site, and the specific external environment information comprises temperature, air humidity, illumination intensity, environment dust and corresponding rainfall, wherein the rainfall is used for calculating the scouring cleanliness of a photovoltaic module.
The maintenance information input module is used for inputting maintenance information of the target site, when the target site fails, maintenance personnel acquire the failed target site through corresponding information reminding and maintain the failed target site, wherein the maintenance information comprises the position of the target site, the failure reason and the maintenance time, and then the maintenance information input module transmits the maintenance information of the target site to the detection data analysis module;
the power monitoring module is used for monitoring power information of a target site, the power information comprises power input data and power output data of each substation, wherein the power input data refers to power data of photovoltaic power generation of each substation, and the power output data refers to power use data of each substation, and comprises power use data of a user and power data integrated into a power grid;
the electric quantity detection module transmits the electric quantity information of the target site to the detection data analysis module, and the detection data analysis module is used for carrying out inertial analysis on the maintenance value of the photovoltaic module by combining the data information and the electric quantity information with the maintenance information, wherein the specific analysis method comprises the following steps:
step one: the dust degree of the photovoltaic power generation component at the target site is subjected to conventional analysis according to the environmental information, and the specific analysis method comprises the following steps:
s11: firstly, selecting a target site and acquiring data of the target site, respectively acquiring corresponding environmental information in each time interval T, wherein the time intervals T are set by related professionals, in the embodiment, the time intervals T are set to 24 hours, meanwhile, the temperature is marked as Wi, the wind power value is marked as Fi, the air humidity is marked as Si, the illumination intensity is marked as Gi, the environmental dust degree is marked as Hi, i represents different time intervals, wherein the wind power value comprises a direction and is a vector value, and meanwhile, when the inclination angle of a photovoltaic component of the target site is opposite to the wind power direction, the wind power value is marked as a positive value, otherwise, when the directions are the same, the wind power value is marked as a negative value, and the residual values of dust caused by different wind power values and wind directions to the inclination direction of a middle photovoltaic panel of each target site are different; the temperature in this embodiment refers to the average daytime temperature, the air humidity refers to the average humidity of the air at the inner and outer peripheries of 24H, the illumination intensity refers to the average daytime illumination intensity, and the ambient dust degree refers to the average value of ambient dust in 24H;
s12: the cleanliness of the photovoltaic power generation assembly of the target site is subjected to dimensionality removal calculation, and a formula C is adopted i ＝(C i-1 +C 0 ) α ，C 0 Specific values of =hi×k1+si×k2+gi×k3+fi×k4, where k1+k2+k3+k4=1, K1, K2, K3, K4 are obtained by the relevant personnel from a large number of experimental data, i=1, 2, … …, when i=1, C i ＝C 0 ，C 0 C represents the dust value when the solar photovoltaic power generation module increases i The total dust value of the solar photovoltaic power generation assembly is shown, alpha is a preset value, alpha is more than 0 and less than 1, and the specific alpha value is obtained by a plurality of experiments by professionals in the related field;
s13: when rainfall exists in the external environment after the ith time interval, acquiring the rainfall in the time interval, marking the rainfall as JY, and adopting a formulaWherein K5 is a preset value, the specific value is obtained by related professionals according to a large amount of experimental data, andJY x K5 > 1, when C i When the value is smaller than 0, C will be directly caused to be i ＝0；
Step two: firstly acquiring the average value of the electric energy conversion rate of the photovoltaic module of the target site in normal operation according to the electric quantity information, and marking the average value as Da;
firstly marking the photovoltaic power generation data of a target site, namely electric quantity input data, as DFi, marking electric quantity output data as DCi, dividing the electric quantity output data by the electric quantity input data to obtain electric energy conversion rate Di, subtracting an electric energy conversion rate average Da from the electric energy conversion rate Di to obtain a difference value, and carrying out absolute value processing on the difference value to obtain an electric energy conversion difference value DCi;
step three: then combining the first step with the second step, assigning the maintenance information as C according to the historical fault reasons and the average maintenance interval time in the maintenance information, setting specific assignment data by professionals, and adopting a formulaObtaining a maintenance value WF of each target site, wherein beta 1, beta 2 and beta 3 are preset values, acquiring a large amount of experimental data by related personnel, and transmitting maintenance information and position generation maintenance signals of the target site to a site maintenance early warning module when the maintenance value of the target site exceeds the preset values;
the site maintenance early warning module is used for receiving the early warning signals and reminding related personnel according to the signals, and the related personnel correspondingly maintain the target site according to the information of the corresponding signals;
meanwhile, when maintenance personnel maintain the target site, corresponding maintenance data are transmitted to the maintenance information input module, and the maintenance information input module correspondingly stores maintenance information of each time.
The partial data in the formula are all obtained by removing dimension and taking the numerical value for calculation, and the formula is a formula closest to the real situation obtained by simulating a large amount of collected data through software; the preset parameters and the preset threshold values in the formula are set by those skilled in the art according to actual conditions or are obtained through mass data simulation.
The working principle of the application is as follows: the method comprises the steps of firstly monitoring a target site through an environment monitoring module, recording maintenance information through a maintenance information recording module, monitoring the electric quantity information of the target site through an electric quantity monitoring module, analyzing data information, electric quantity information and maintenance information through a detection data analysis module, calculating the dust degree of a photovoltaic module of the target site through data information of the external environment of the target site through a formula, obtaining the electric energy conversion rate of the target site according to electric quantity input information and electric quantity output information of the target site, processing the dust degree and the electric energy conversion rate of the target site, simultaneously combining the maintenance information of the target site, calculating a maintenance value of the target site through the formula, generating a maintenance signal corresponding to the target site according to the maintenance value of the target site, and transmitting the maintenance signal to related management personnel for maintenance.
The above embodiments are only for illustrating the technical method of the present application and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present application may be modified or substituted without departing from the spirit and scope of the technical method of the present application.
Claims (6)
1. A distributed photovoltaic power plant maintenance system, comprising:
the detection data analysis module is used for carrying out inertial analysis on maintenance values of a target site according to data information, maintenance information and electric quantity information of the target site, wherein the target site refers to a sub-site in a distributed photovoltaic power station, the data information refers to temperature, air humidity, illumination intensity, environment dust and rainfall in an external environment, the maintenance information refers to the position, fault reason and maintenance time of the target site, the electric quantity information comprises photovoltaic power generation data and user use data of the sub-site and data integrated into a power grid, and the specific method of inertial analysis comprises the following steps:
step one: firstly, carrying out constant dust degree on a photovoltaic power generation component of a target site according to environmental informationRule analysis, the temperature is marked as Wi, the wind power value is marked as Fi, the air humidity is marked as Si, the illumination intensity is marked as Gi, the ambient dust degree is marked as Hi, i represents different time intervals, and then the formula C is adopted i ＝(C i-1 +C 0 ) α Obtain dust value, C 0 =hi×k1+si×k2+gi×k3+fi×k4, when i=1, C i ＝C 0 When rainfall exists in the external environment, the rainfall is marked as JY, and at the momentK5 is a preset value, and JY multiplied by K5 is more than 1;
step two: firstly marking electric quantity input data as DFi, and then processing electric quantity information to obtain an electric energy conversion difference value DCi;
step three: assigning the maintenance information to C, and then adopting a formulaAnd obtaining the maintenance value of the target site, and simultaneously transmitting the obtained maintenance value to a site maintenance early warning module for early warning information warning.
2. A distributed photovoltaic power plant maintenance system according to claim 1, characterized in that the specific method for performing a routine analysis of dust level is:
s11: firstly, selecting a target site and acquiring data of the target site, respectively acquiring corresponding environmental information in each time interval T, simultaneously marking the temperature as Wi, the wind power value as Fi, the air humidity as Si, the illumination intensity as Gi, the environmental dust degree as Hi, wherein i represents different time intervals, the wind power value comprises a direction as a vector value, and simultaneously marking the wind power value as a positive value when the inclination angle of the photovoltaic module of the target site is opposite to the wind power direction, and marking the wind power value as a negative value when the directions are the same;
s12: the cleanliness of the photovoltaic power generation assembly of the target site is subjected to dimensionality removal calculation, and a formula C is adopted i ＝(C i-1 +C 0 ) α ，C 0 Specific values of =hi×k1+si×k2+gi×k3+fi×k4, where k1+k2+k3+k4=1, K1, K2, K3, K4 are obtained by the relevant personnel from a large number of experimental data, i=1, 2, … …, when i=1, C i ＝C 0 ，C 0 C represents the dust value when the solar photovoltaic power generation module increases i The total dust value on the solar photovoltaic power generation assembly is represented, alpha is a preset value, and 0 < alpha < 1;
s13: when rainfall exists in the external environment after the ith time interval, acquiring the rainfall in the time interval, marking the rainfall as JY, and adopting a formulaWherein K5 is a preset value, JY×K5 > 1, when C i When the value is smaller than 0, C will be directly caused to be i ＝0。
3. The maintenance system of a distributed photovoltaic power station according to claim 1, wherein the method for obtaining the electric energy conversion difference value DCi is as follows:
firstly, acquiring an average value of the electric energy conversion rate of a photovoltaic module of a target site in normal operation, and marking the average value as Da;
and then marking the photovoltaic power generation data of the target site, namely the electric quantity input data, as DFi, marking the electric quantity output data as DCi, dividing the electric quantity output data by the electric quantity input data to obtain the conversion rate Di of electric energy, subtracting the electric energy conversion rate average Da from the electric energy conversion rate Di to obtain a difference value, and carrying out absolute value processing on the difference value to obtain an electric energy conversion difference value DCi.
4. A distributed photovoltaic power plant maintenance system according to claim 1, wherein the data information is obtained by an environmental monitoring module and transmitted to a detection data analysis module.
5. A distributed photovoltaic power plant maintenance system according to claim 1, wherein the maintenance information is obtained by a maintenance information entry module, and when a maintenance person performs maintenance on the target site, the maintenance person transmits corresponding maintenance data to the maintenance information entry module, and the maintenance information entry module transmits the maintenance information to the detection data analysis module.
6. A distributed photovoltaic power plant maintenance system according to claim 1, wherein the electrical quantity information is obtained by an electrical quantity monitoring module and transmitted to a detection data analysis module.
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| CN202310702912.2A CN116667783A (en) | 2023-06-14 | 2023-06-14 | Distributed photovoltaic power station maintenance system |
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| CN202310702912.2A CN116667783A (en) | 2023-06-14 | 2023-06-14 | Distributed photovoltaic power station maintenance system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117200329A (en) * | 2023-11-06 | 2023-12-08 | 广州菲利斯太阳能科技有限公司 | Off-grid power generation, energy storage and power supply system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117200329A (en) * | 2023-11-06 | 2023-12-08 | 广州菲利斯太阳能科技有限公司 | Off-grid power generation, energy storage and power supply system |
| CN117200329B (en) * | 2023-11-06 | 2024-03-22 | 广州菲利斯太阳能科技有限公司 | Off-grid power generation, energy storage and power supply system |
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