CN115514318A - Photovoltaic power plant monitored control system - Google Patents
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- CN115514318A CN115514318A CN202211142102.8A CN202211142102A CN115514318A CN 115514318 A CN115514318 A CN 115514318A CN 202211142102 A CN202211142102 A CN 202211142102A CN 115514318 A CN115514318 A CN 115514318A
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- 238000010248 power generation Methods 0.000 claims abstract description 82
- 238000012545 processing Methods 0.000 claims abstract description 55
- 238000012544 monitoring process Methods 0.000 claims abstract description 37
- 238000004364 calculation method Methods 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims abstract description 18
- 230000002159 abnormal effect Effects 0.000 claims abstract description 9
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 238000005286 illumination Methods 0.000 claims description 29
- 238000006243 chemical reaction Methods 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 4
- 238000012937 correction Methods 0.000 claims description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
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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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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00001—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00032—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for
- H02J13/00034—Systems characterised by the controlled or operated power network elements or equipment, the power network elements or equipment not otherwise provided for the elements or equipment being or involving an electric power substation
Abstract
The invention discloses a photovoltaic power station monitoring system, which belongs to the technical field of photovoltaic power stations, and is characterized in that a monitoring module is used for acquiring operation data in the operation process of a photovoltaic power station, and data acquisition is carried out on different aspects of a solar panel, so that diversified data support is provided for monitoring the power generation efficiency of the photovoltaic power station; the processing module, the processor and the cloud platform are used for sequentially carrying out calculation processing and simultaneous calculation on the acquired data, so that comprehensive analysis can be conveniently carried out on the solar panel in the power generation process from different aspects; the alarm module judges and analyzes the power generation standard value and the power generation value, and performs early warning on the operation of the solar panel, judges whether the operation process of the solar panel is abnormal, and performs corresponding processing, so that the normal operation of each solar panel is ensured, the problem occurring in the operation process of a single solar panel is avoided from influencing the power generation efficiency of a photovoltaic power station, the comprehensive analysis of the operation condition of the solar panel is realized, and the accuracy of the monitoring result of the solar panel is improved.
Description
Technical Field
The invention relates to the technical field of photovoltaic power stations, in particular to a photovoltaic power station monitoring system.
Background
The photovoltaic power station is a power generation system which utilizes solar energy and is composed of electronic elements such as a crystalline silicon plate and an inverter and is connected with a power grid and transmits power to the power grid, and belongs to the green power development energy project with the greatest national encouragement, and the degree of converting solar energy into electric energy of the photovoltaic power station is influenced by the solar illumination intensity and the illumination angle.
Photovoltaic power plant's generating efficiency mainly depends on solar panel's generating efficiency, general monitored control system can only monitor whether normal and the environment of power station of the operation of power station, seldom can monitor single solar panel's generating efficiency, solar panel is at the in-process that uses, can receive the influence of multifactor, for example solar panel's angle of meeting, solar panel temperature etc., it is too big with the solar incident angle deviation or solar panel temperature all can cause the light conversion inefficiency when too big or solar panel temperature is too high to solar panel, cause solar panel's generating efficiency low, and then cause photovoltaic power plant's generating efficiency low, consequently, need monitor photovoltaic power plant's single solar panel.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a photovoltaic power station monitoring system, which solves the following technical problems: it is necessary to monitor the individual solar panels of a photovoltaic power plant.
The purpose of the invention can be realized by the following technical scheme:
a photovoltaic power station monitoring system comprises a monitoring module, a processing module, a processor, a cloud platform, an alarm module and a processing port; the monitoring module is used for acquiring operation data in the operation process of the photovoltaic power station, marking the operation data to obtain operation information and sending the operation information to the processing module; the processing module is used for calculating and processing the operation information sent by the monitoring module to obtain processing information and sending the processing information to the processor; the processor is used for simultaneously calculating the average temperature value, the illumination intensity change rate and the generating capacity change rate of the solar panel to obtain a generating value and sending the generating value to the alarm module; the alarm module extracts a preset power generation standard value in the cloud platform and a power generation value sent by the processor for judgment and analysis, and a judgment result is obtained.
Furthermore, the operation data comprises solar panel temperature data, illumination intensity data and solar panel power generation amount data.
Further, the specific operation steps of the monitoring module for marking the running data include:
step A1: acquiring solar panel temperature data in the operation data, and setting the temperature data to be WDi, i =1,2,3.. N;
step A2: acquiring illumination intensity data in the operation data, and setting the illumination intensity data to be GZi, i =1,2,3.. N;
step A3: and acquiring the solar panel power generation data in the operation data, and setting the solar panel power generation data as FDi, i =1,2,3.
Further, the step of the processing module performing calculation processing includes:
step B1: the method comprises the steps that a working time period of the photovoltaic power station is obtained through a cloud platform, any two different time points in the operation process in the working time period of the photovoltaic power station are obtained, the any two different time points are set as a first operation time point and a second operation time point respectively, and the time difference between the first operation time point and the second operation time point is obtained and marked as M;
and step B2: by calculation formulaCalculating and obtaining the average value of the solar panel temperature in the working time of the photovoltaic power station, wherein WD1 is the solar panel temperature data of a first operation time point when i =1, and WDM is the solar panel temperature data of a second operation time point when i = M,the sum of the temperatures of the photovoltaic power station in the time period M;
and step B3: by calculation formulaObtaining the change rate of the illumination intensity in the working time of the photovoltaic power station, wherein GZ1 is the illumination intensity data of a first running time point; GZ2 is illumination intensity data of a second operation time point, and alpha is expressed as a preset proportionality coefficient and is not zero;
and step B4: velocity calculation formula by power generation amount changeAnd obtaining the power generation amount change rate, wherein FD2 is the solar panel power generation amount data at the second operation time point, FD1 is the solar panel power generation amount data at the first operation time point, and beta is expressed as a preset proportionality coefficient and is not zero.
Further, the specific operation steps of the processor for performing simultaneous calculation include: obtaining the average value Q of the temperature of the solar panel WD And the rate of change of illumination intensity Q GZ And rate of change of generated power Q FD By usingAcquiring a power generation value, wherein GZi is expressed as real-time illumination intensity data; WDi as real-time solar panel temperature data; FDi represents real-time solar panel power generation data; wherein a1, a2 and a3 are expressed as preset proportionality coefficients and are not zero, and the numerical values of a1, a2 and a3 are respectively 0.387, 0.143 and 1.264; eta is a correction factor, and the value is 0.5179.
Further, the specific steps of the alarm module for judgment and analysis include:
when the FDZ is larger than or equal to the BX2, generating a high-efficiency signal, wherein the power generation value is larger than the maximum value of the power generation standard values, the solar efficiency conversion efficiency of the solar panel is high, the power generation efficiency is high, and the photovoltaic power station is in a high-efficiency power generation mode;
when BX1 is more than FDZ and more than BX2, generating a normal signal; at the moment, the power generation value is within the power generation standard value, which represents that the solar panel generates power normally and the photovoltaic power station operates normally;
when the FDZ is less than or equal to BX1, an alarm signal is generated, and the power generation value is lower than the minimum value of the power generation standard values at the moment, which means that the solar energy conversion efficiency of the solar panel is abnormal, the power generation efficiency is low, and the solar panel in the photovoltaic power station is abnormal and needs to be confirmed and maintained in time;
and BX2 is the maximum value of the power generation standard values, BX1 is the minimum value of the power generation standard values, the high-efficiency signals, the normal signals and the alarm signals are combined to obtain a judgment result, and the judgment result is sent to the cloud platform.
Furthermore, the cloud platform acquires the working time period of the photovoltaic power station through the internet, sends the working time period to the processing module, and is used for storing the running data and the running information sent by the monitoring module, the processing information sent by the processing module, the power generation value sent by the processor and receiving the judgment result sent by the alarm module.
Furthermore, the cloud platform calibrates the operation data corresponding to the high-efficiency signal in the judgment result into high-efficiency operation data, sends the high-efficiency operation data to the processing port, and performs data processing on the high-efficiency operation data through the processing port to obtain a data analysis table.
Compared with the prior art, the invention has the beneficial effects that:
the monitoring module is used for acquiring the temperature data, the illumination intensity data and the generating capacity data of the solar panel in the operation process of the photovoltaic power station, and the data acquisition is carried out on different aspects of the solar panel, so that diversified data support is provided for monitoring the generating efficiency of the photovoltaic power station; the processing module, the processor and the cloud platform are used for sequentially carrying out calculation processing and simultaneous calculation on the acquired data, so that comprehensive analysis can be conveniently carried out on the solar panel in the power generation process from different aspects; the alarm module extracts preset power generation standard values and power generation values to judge and analyze, early warning is carried out on the operation of the solar panels, whether the operation process of the solar panels is abnormal or not is judged, corresponding processing is carried out, normal operation of each solar panel is ensured, the problem occurring in the operation process of a single solar panel is avoided from influencing the power generation efficiency of the photovoltaic power station, comprehensive analysis is carried out on the operation conditions of the solar panels, the accuracy of solar panel monitoring results is improved, and meanwhile, the power generation stability of the photovoltaic power station is improved.
Drawings
Fig. 1 is a system block diagram of a photovoltaic power station monitoring system according to the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and the detailed description. The embodiments of the present invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiment was chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Referring to fig. 1, the invention relates to a photovoltaic power station monitoring system, which comprises a monitoring module, a processing module, a processor, a cloud platform, an alarm module and a processing port; the monitoring module is used for acquiring operation data in the operation process of the photovoltaic power station, the operation data is marked to obtain operation information, the operation information is sent to the processing module, the operation data comprises solar panel temperature data, illumination intensity data and solar panel generating capacity data, data acquisition is carried out on different aspects of the solar panel, diversified data support is provided for monitoring of the power generation efficiency of the photovoltaic power station, and the operation data and the operation information are sent to the cloud platform to be stored by the monitoring module.
The specific operation steps of the monitoring module for marking the running data comprise:
step A1: acquiring solar panel temperature data in the operation data, and setting the temperature data to be WDi, i =1,2,3.. N;
step A2: acquiring illumination intensity data in the operation data, and setting the illumination intensity data to be GZi, i =1,2,3.. N;
step A3: and acquiring solar panel power generation amount data in the operation data, and setting the solar panel power generation amount data as FDi, i =1,2,3.
The processing module is used for calculating and processing the operation information sent by the monitoring module to obtain processing information and sending the processing information to the processor, wherein the processing information comprises a solar panel temperature average value, a light intensity change rate and a power generation amount change rate; meanwhile, the processing module sends the processing information to the cloud platform for storage;
wherein, the step that processing module carries out calculation processing includes:
step B1: acquiring a working time period of the photovoltaic power station through the cloud platform, acquiring any two different time points in the operation process in the working time period of the photovoltaic power station, setting the any two different time points as a first operation time point and a second operation time point respectively, and acquiring the time difference between the first operation time point and the second operation time point and marking the time difference as M;
and step B2: by calculation formulaCalculating and obtaining the average value of the solar panel temperature in the working time of the photovoltaic power station, wherein when i =1, WD1 is the solar panel temperature data of a first operating time point, and when i = M, WDM is the solar panel temperature data of a second operating time point,the sum of the temperatures of the photovoltaic power station in the M time period is obtained; it is worth noting that when the temperature of the solar panel is higher, the maximum output power of the solar panel is reduced, namely the generating efficiency of the photovoltaic power station is reduced;
and step B3: by calculation formulaObtaining the change rate of the illumination intensity in the working time of the photovoltaic power station, wherein GZ1 is the illumination intensity data of a first running time point; GZ2 is illumination intensity data of a second operation time point, and alpha is expressed as a preset proportionality coefficient and is not zero;
and step B4: velocity calculation formula by power generation amount changeAnd obtaining the power generation amount change rate, wherein FD2 is the solar panel power generation amount data at the second operation time point, FD1 is the solar panel power generation amount data at the first operation time point, and beta is expressed as a preset proportionality coefficient and is not zero.
The processor is used for simultaneously calculating the average temperature value, the illumination intensity change rate and the generating capacity change rate of the solar panel to obtain a generating value, sending the generating value to the alarm module and sending the generating value to the cloud platform for storage;
the specific operation steps of the processor for simultaneous calculation comprise:
obtaining the average value Q of the temperature of the solar panel WD And the rate of change of illumination intensity Q GZ And rate of change of generated power Q FD By usingAcquiring a power generation value, wherein GZi is expressed as real-time illumination intensity data; WDi as real-time solar panel temperature data; FDi represents real-time solar panel power generation data; wherein a1, a2 and a3 are expressed as preset proportionality coefficients and are not zero, and the numerical values of a1, a2 and a3 are respectively 0.387, 0.143 and 1.264; eta is a correction factor and takes the value of 0.5179.
The alarm module extracts a preset power generation standard value in the cloud platform and a power generation value sent by the processor for judgment and analysis to obtain a judgment result; sending the judgment result to the cloud platform for storage; the alarm module carries out early warning on the operation of the solar panels, judges whether the operation process of the solar panels is abnormal or not and carries out corresponding treatment, so that each solar panel can normally operate, and the problem that the generation efficiency of a photovoltaic power station is influenced when a single solar panel operates is avoided;
the specific steps of judging and analyzing by the alarm module comprise:
when the FDZ is more than or equal to BX2, generating a high-efficiency signal, wherein the power generation value is more than the maximum value of the power generation standard values, the solar efficiency conversion efficiency of the solar panel is high, the power generation efficiency is high, and the photovoltaic power station is in a high-efficiency power generation mode;
when BX1 is more than FDZ and more than BX2, generating a normal signal; at the moment, the power generation value is within the power generation standard value, which represents that the solar panel generates power normally and the photovoltaic power station operates normally;
when the FDZ is less than or equal to BX1, generating an alarm signal, wherein the power generation value is lower than the minimum value of the power generation standard values, which represents that the solar energy conversion efficiency of the solar panel is abnormal, the power generation efficiency is low, and the solar panel in the photovoltaic power station is abnormal and needs to be confirmed and maintained in time;
and BX2 is the maximum value of the power generation standard values, BX1 is the minimum value of the power generation standard values, the high-efficiency signals, the normal signals and the alarm signals are combined to obtain a judgment result, and the judgment result is sent to the cloud platform.
The cloud platform acquires the working time period of the photovoltaic power station through the Internet, sends the working time period to the processing module, and is used for storing the operation data and the operation information sent by the monitoring module, the processing information sent by the processing module, the power generation value sent by the processor, receiving the judgment result sent by the alarm module and sending the preset power generation standard value to the alarm module;
the cloud platform calibrates the operation data corresponding to the high-efficiency signals in the judgment result into high-efficiency operation data, sends the high-efficiency operation data to the processing port, performs data processing on the high-efficiency operation data through the processing port to obtain a data analysis table, the data analysis table plays a reference role in the high-efficiency operation of the follow-up photovoltaic power station, and the processing port is a computer.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the most approximate real condition, and the preset parameters and the preset threshold values in the formula are set by the technical personnel in the field according to the actual condition or obtained by simulating a large amount of data.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (8)
1. A photovoltaic power station monitoring system is characterized by comprising a monitoring module, a processing module, a processor, a cloud platform, an alarm module and a processing port; the monitoring module is used for acquiring operation data in the operation process of the photovoltaic power station, marking the operation data to obtain operation information and sending the operation information to the processing module; the processing module is used for calculating and processing the operation information sent by the monitoring module to obtain processing information and sending the processing information to the processor; the processor is used for simultaneously calculating the average temperature value, the illumination intensity change rate and the generating capacity change rate of the solar panel to obtain a generating value and sending the generating value to the alarm module; the alarm module extracts a preset power generation standard value in the cloud platform and a power generation value sent by the processor to perform judgment analysis, and a judgment result is obtained.
2. The photovoltaic power plant monitoring system of claim 1 wherein the operational data includes solar panel temperature data, light intensity data, and solar panel power generation data.
3. The photovoltaic power plant monitoring system of claim 2 wherein the specific operational steps of the monitoring module marking the operational data include:
step A1: acquiring solar panel temperature data in the operation data, and setting the temperature data to be WDi, i =1,2,3.. N;
step A2: acquiring illumination intensity data in the operation data, and setting the illumination intensity data to be GZi, i =1,2,3.. N;
step A3: and acquiring solar panel power generation amount data in the operation data, and setting the solar panel power generation amount data as FDi, i =1,2,3.
4. The photovoltaic power plant monitoring system of claim 3 wherein the step of performing computational processing by the processing module comprises:
step B1: the method comprises the steps that a working time period of the photovoltaic power station is obtained through a cloud platform, any two different time points in the operation process in the working time period of the photovoltaic power station are obtained, the any two different time points are set as a first operation time point and a second operation time point respectively, and the time difference between the first operation time point and the second operation time point is obtained and marked as M;
and step B2: by calculation formulaCalculating and obtaining the average value of the solar panel temperature in the working time of the photovoltaic power station, wherein when i =1, WD1 is the solar panel temperature data of a first operating time point, and when i = M, WDM is the solar panel temperature data of a second operating time point,the sum of the temperatures of the photovoltaic power station in the time period M;
and step B3: by calculation formulaObtaining the change rate of the illumination intensity in the working time of the photovoltaic power station, wherein GZ1 is the illumination intensity data of a first running time point; GZ2 is illumination intensity data of a second operation time point, and alpha is expressed as a preset proportionality coefficient and is not zero;
and step B4: velocity calculation formula by power generation amount changeAnd obtaining the power generation amount change rate, wherein FD2 is the solar panel power generation amount data at the second operation time point, FD1 is the solar panel power generation amount data at the first operation time point, and beta is expressed as a preset proportionality coefficient and is not zero.
5. The photovoltaic power plant monitoring system of claim 4 wherein the processors are coupled togetherThe specific operation steps of the calculation comprise: obtaining the average value Q of the temperature of the solar panel WD And the rate of change of illumination intensity Q GZ And rate of change of generated power Q FD By usingAcquiring a power generation value, wherein GZi is expressed as real-time illumination intensity data; WDi as real-time solar panel temperature data; FDi represents real-time solar panel power generation data; wherein a1, a2 and a3 are expressed as preset proportionality coefficients and are not zero, and the numerical values of a1, a2 and a3 are respectively 0.387, 0.143 and 1.264; eta is a correction factor and takes the value of 0.5179.
6. The photovoltaic power plant monitoring system of claim 5 wherein the specific steps of the alarm module to perform the judgment analysis include:
when the FDZ is more than or equal to BX2, generating a high-efficiency signal, wherein the power generation value is more than the maximum value of the power generation standard values, the solar efficiency conversion efficiency of the solar panel is high, the power generation efficiency is high, and the photovoltaic power station is in a high-efficiency power generation mode;
when BX1 is more than FDZ and more than BX2, generating a normal signal; at the moment, the power generation value is within the power generation standard value, which represents that the solar panel generates power normally and the photovoltaic power station operates normally;
when the FDZ is less than or equal to BX1, generating an alarm signal, wherein the power generation value is lower than the minimum value of the power generation standard values, which represents that the solar energy conversion efficiency of the solar panel is abnormal, the power generation efficiency is low, and the solar panel in the photovoltaic power station is abnormal and needs to be confirmed and maintained in time;
and BX2 is the maximum value of the power generation standard values, BX1 is the minimum value of the power generation standard values, the high-efficiency signals, the normal signals and the alarm signals are combined to obtain a judgment result, and the judgment result is sent to the cloud platform.
7. The photovoltaic power station monitoring system according to claim 6, wherein the cloud platform obtains the working time period of the photovoltaic power station through the internet, sends the working time period to the processing module, and is used for storing the operation data and the operation information sent by the monitoring module, the processing information sent by the processing module, the power generation value sent by the processor, and receiving the judgment result sent by the alarm module.
8. The photovoltaic power station monitoring system of claim 7, wherein the cloud platform calibrates the operation data corresponding to the high-efficiency signal in the determination result into high-efficiency operation data, sends the high-efficiency operation data to the processing port, and performs data processing on the high-efficiency operation data through the processing port to obtain the data analysis table.
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Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150088440A1 (en) * | 2012-05-29 | 2015-03-26 | Tokyo Electron Limited | Solar power generation monitoring method and solar power generation monitoring system |
CN105634405A (en) * | 2014-12-01 | 2016-06-01 | 国家电网公司 | Method and device for detecting generation performance of photovoltaic power generation system |
CN108390642A (en) * | 2018-02-14 | 2018-08-10 | 广东技术师范学院 | Photovoltaic plant data collection site Visualized Monitoring System |
CN108599724A (en) * | 2018-07-02 | 2018-09-28 | 中国电建集团江西省电力建设有限公司 | A kind of photovoltaic module on-line monitoring system and monitoring method |
CN109543993A (en) * | 2018-11-20 | 2019-03-29 | 青海黄河上游水电开发有限责任公司光伏产业技术分公司 | Analyze method, computer storage medium and the computer equipment of photovoltaic plant |
KR20190069213A (en) * | 2017-12-11 | 2019-06-19 | 한국전자통신연구원 | Apparatus and method for operation and management of distributed photovoltaic energy generator based on remote monitoring |
CN110443405A (en) * | 2019-06-28 | 2019-11-12 | 国网山东省电力公司济宁市任城区供电公司 | A kind of built photovoltaic power station power generation amount forecasting system and method |
CN111010084A (en) * | 2019-12-12 | 2020-04-14 | 山东中实易通集团有限公司 | Photovoltaic power station intelligent monitoring analysis platform and method |
CN111147017A (en) * | 2019-12-16 | 2020-05-12 | 合肥敬卫新能源有限公司 | Real-time monitoring and alarming system for solar photovoltaic power station |
CN111147018A (en) * | 2019-12-27 | 2020-05-12 | 合肥敬卫新能源有限公司 | Monitoring system for observing working state of solar photovoltaic power station |
CN111276960A (en) * | 2019-05-13 | 2020-06-12 | 中国矿业大学 | Energy storage module prediction control method in light-storage direct current micro-grid system |
-
2022
- 2022-09-20 CN CN202211142102.8A patent/CN115514318B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20150088440A1 (en) * | 2012-05-29 | 2015-03-26 | Tokyo Electron Limited | Solar power generation monitoring method and solar power generation monitoring system |
CN105634405A (en) * | 2014-12-01 | 2016-06-01 | 国家电网公司 | Method and device for detecting generation performance of photovoltaic power generation system |
KR20190069213A (en) * | 2017-12-11 | 2019-06-19 | 한국전자통신연구원 | Apparatus and method for operation and management of distributed photovoltaic energy generator based on remote monitoring |
CN108390642A (en) * | 2018-02-14 | 2018-08-10 | 广东技术师范学院 | Photovoltaic plant data collection site Visualized Monitoring System |
CN108599724A (en) * | 2018-07-02 | 2018-09-28 | 中国电建集团江西省电力建设有限公司 | A kind of photovoltaic module on-line monitoring system and monitoring method |
CN109543993A (en) * | 2018-11-20 | 2019-03-29 | 青海黄河上游水电开发有限责任公司光伏产业技术分公司 | Analyze method, computer storage medium and the computer equipment of photovoltaic plant |
CN111276960A (en) * | 2019-05-13 | 2020-06-12 | 中国矿业大学 | Energy storage module prediction control method in light-storage direct current micro-grid system |
CN110443405A (en) * | 2019-06-28 | 2019-11-12 | 国网山东省电力公司济宁市任城区供电公司 | A kind of built photovoltaic power station power generation amount forecasting system and method |
CN111010084A (en) * | 2019-12-12 | 2020-04-14 | 山东中实易通集团有限公司 | Photovoltaic power station intelligent monitoring analysis platform and method |
CN111147017A (en) * | 2019-12-16 | 2020-05-12 | 合肥敬卫新能源有限公司 | Real-time monitoring and alarming system for solar photovoltaic power station |
CN111147018A (en) * | 2019-12-27 | 2020-05-12 | 合肥敬卫新能源有限公司 | Monitoring system for observing working state of solar photovoltaic power station |
Cited By (7)
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CN116307915B (en) * | 2023-03-28 | 2024-04-02 | 青海德坤电力集团有限公司 | Remote photovoltaic power generation operation and maintenance management and control system based on cloud technology |
CN116388685A (en) * | 2023-04-07 | 2023-07-04 | 江苏新之阳新能源科技有限公司 | Solar cell panel operation control system |
CN116388685B (en) * | 2023-04-07 | 2024-04-09 | 江苏新之阳新能源科技有限公司 | Solar cell panel operation control system |
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