CN115514318B - Photovoltaic power station monitoring system - Google Patents
Photovoltaic power station monitoring system Download PDFInfo
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- CN115514318B CN115514318B CN202211142102.8A CN202211142102A CN115514318B CN 115514318 B CN115514318 B CN 115514318B CN 202211142102 A CN202211142102 A CN 202211142102A CN 115514318 B CN115514318 B CN 115514318B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 39
- 238000010248 power generation Methods 0.000 claims abstract description 75
- 238000012545 processing Methods 0.000 claims abstract description 54
- 238000000034 method Methods 0.000 claims abstract description 17
- 238000004364 calculation method Methods 0.000 claims abstract description 16
- 238000004458 analytical method Methods 0.000 claims abstract description 9
- 230000002159 abnormal effect Effects 0.000 claims abstract description 6
- 238000005286 illumination Methods 0.000 claims description 31
- 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
- 230000005856 abnormality Effects 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000013480 data collection Methods 0.000 description 2
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000013078 crystal Substances 0.000 description 1
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- 229910052710 silicon Inorganic materials 0.000 description 1
- 239000010703 silicon Substances 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
- 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
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Photovoltaic Devices (AREA)
Abstract
The invention discloses a photovoltaic power station monitoring system, which belongs to the technical field of photovoltaic power stations, and the monitoring system comprises a monitoring module, a control module and a control module, wherein the monitoring module is used for acquiring operation data in the operation process of the photovoltaic power station, and the control module is used for acquiring data in different aspects of a solar panel so as to provide diversified data support for monitoring the power generation efficiency of the photovoltaic power station; the collected data are sequentially subjected to calculation processing and simultaneous calculation through the processing module, the processor and the cloud platform, so that comprehensive analysis is 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, pre-warns the operation of the solar panels, judges whether the operation process of the solar panels is abnormal, and performs corresponding treatment, so that each solar panel can normally operate, the problem that the single solar panel has a problem in the operation process is avoided to influence the power generation efficiency of the photovoltaic power station, the comprehensive analysis of the operation condition of the solar panels is realized, and the accuracy of the monitoring result of the solar panels 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 adopts special materials such as a crystal silicon plate, an inverter and other electronic elements, is connected with a power grid and transmits power to the power grid, and currently belongs to a green power development energy project with the largest encouraging strength in China, and the solar illumination intensity and the illumination angle influence the degree of the photovoltaic power station for converting solar energy into electric energy.
The generating efficiency of a photovoltaic power station mainly depends on the generating efficiency of a solar panel, a general monitoring system can only monitor whether the operation of the power station is normal or not and the environment of the power station, the generating efficiency of a single solar panel can be rarely monitored, the solar panel can be affected by various factors in the using process, such as the incident angle of the solar panel, the temperature of the solar panel and the like, when the deviation of the incident angle of the solar panel and the sun is overlarge or the temperature of the solar panel is overlarge, the light conversion efficiency is low, the generating efficiency of the solar panel is low, and then the generating efficiency of the photovoltaic power station is low, so that the single solar panel of the photovoltaic power station needs to be monitored.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a photovoltaic power station monitoring system which solves the following technical problems: a single solar panel of the photovoltaic power plant needs to be monitored.
The aim of the invention can be achieved 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 collecting 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 the operation information sent by the processing monitoring module to obtain processing information and sending the processing information to the processor; the processor is used for carrying out simultaneous calculation on the temperature average 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; and 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.
Further, the operation data comprise solar panel temperature data, illumination intensity data and solar panel power generation data.
Further, the specific operation steps of the monitoring module for marking the operation data include:
step A1: acquiring solar panel temperature data in the operation data, and the temperature data is set to WDi, i=1, 2,3. N;
step A2: acquiring illumination intensity data in the operation data, and setting the illumination intensity data to GZi, i=1, 2, 3..n;
step A3: solar panel power generation amount data in the operation data is acquired, and the solar panel power generation amount data is set to FDi, i=1, 2,3.
Further, the step of performing calculation processing by the processing module includes:
step B1: acquiring the working time period of the photovoltaic power station through the cloud platform, acquiring any two different time points in the operation process of the photovoltaic power station in the working time period, respectively setting the any two different time points as a first operation time point and a second operation time point, acquiring the time difference between the first operation time point and the second operation time point and marking the time difference as M;
step B2: by calculationCalculating to obtain a solar panel temperature average value in the working time of the photovoltaic power station, wherein WD1 is solar panel temperature data of a first operation time point when i=1, and WDM is solar panel temperature data of a second operation time point when i=M>Is the sum of temperatures of the photovoltaic power station in the time period M;
step B3: by calculationObtaining the illumination intensity change rate in the working time of the photovoltaic power station, wherein GZ1 is the illumination intensity data of a first operation time point; GZ2 is illumination intensity data at a second operating time point, and α is represented as a preset scaling factor and is not zero;
step B4: calculated by the change speed of the generated energyObtaining a power generation amount change rate, wherein FD2 is solar panel power generation amount data of a second operation time point, FD1 is solar panel power generation amount data of a 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 simultaneous calculation include: obtaining a solar panel temperature average value Q WD Rate of change of illumination intensity Q GZ And a power generation amount change rate Q FD By usingAcquiring a power generation value, wherein GZi is represented 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 values of a1, a2 and a3 are respectively 0.387, 0.143 and 1.264; η is a correction factor and is 0.5179.
Further, the specific steps of the alarm module for judgment and analysis include:
when FDZ is more than or equal to BX2, generating a high-efficiency signal, wherein the power generation value is larger than the maximum value in the power generation standard value, which means that the solar panel has high solar efficiency conversion efficiency and high power generation efficiency, and the photovoltaic power station is in a high-efficiency power generation mode;
when BX1 is more than FDZ and less 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 FDZ is less than or equal to BX1, generating an alarm signal, wherein the generated value is lower than the minimum value in the generated standard value, and the generated value represents that the solar energy conversion efficiency of the solar panel is abnormal, the generated efficiency is low, and the abnormality of the solar panel in the photovoltaic power station is generated and needs to be confirmed and maintained in time;
BX2 is the maximum value of the power generation standard values, BX1 is the minimum value of the power generation standard values, and the high-efficiency signal, the normal signal and the alarm signal are combined to obtain a judging result, and meanwhile the judging result is sent into the cloud platform.
Further, the cloud platform acquires the working time period of the photovoltaic power station through the Internet and 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 the judgment result sent by the receiving alarm module.
Further, the cloud platform calibrates the operation data corresponding to the high-efficiency signals in the judging 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:
according to the invention, the monitoring module is used for collecting 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 collection 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 collected data are sequentially subjected to calculation processing and simultaneous calculation through the processing module, the processor and the cloud platform, so that comprehensive analysis is conveniently carried out on the solar panel in the power generation process from different aspects; the alarm module extracts a preset power generation standard value and a power generation value to judge and analyze, pre-warn the operation of the solar panels, judge whether the operation process of the solar panels is abnormal, and perform corresponding treatment, so that each solar panel can be ensured to normally operate, the problem that the power generation efficiency of the photovoltaic power station is affected due to the occurrence of a problem in the operation process of a single solar panel is avoided, the comprehensive analysis of the operation condition of the solar panels is realized, the accuracy of the monitoring result of the solar panels 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 plant monitoring system of the present invention.
Detailed Description
The invention will be described in further detail with reference to the drawings and the detailed description. The embodiments of the 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 embodiments were 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 is 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 collecting operation data in the operation process of the photovoltaic power station, simultaneously carrying out marking processing on the operation data to obtain operation information, sending the operation information to the processing module, wherein the operation data comprises solar panel temperature data, illumination intensity data and solar panel generating capacity data, and the solar panel is subjected to data collection in different aspects to provide diversified data support for monitoring of the power generation efficiency of the photovoltaic power station, and meanwhile, the monitoring module sends the operation data and the operation information to the cloud platform for storage.
The specific operation steps of the monitoring module for marking the operation data comprise:
step A1: acquiring solar panel temperature data in the operation data, and the temperature data is set to WDi, i=1, 2,3. N;
step A2: acquiring illumination intensity data in the operation data, and setting the illumination intensity data to GZi, i=1, 2, 3..n;
step A3: solar panel power generation amount data in the operation data is acquired, and the solar panel power generation amount data is set to FDi, i=1, 2,3.
The processing module is used for calculating the operation information sent by the processing 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, an illumination intensity change rate and a power generation amount change rate; meanwhile, the processing module sends the processing information to the cloud platform for storage;
the step of the processing module for computing processing comprises the following steps:
step B1: acquiring the working time period of the photovoltaic power station through the cloud platform, acquiring any two different time points in the operation process of the photovoltaic power station in the working time period, respectively setting the any two different time points as a first operation time point and a second operation time point, acquiring the time difference between the first operation time point and the second operation time point and marking the time difference as M;
step B2: by calculationCalculating to obtain a solar panel temperature average value in the working time of the photovoltaic power station, wherein WD1 is solar panel temperature data of a first operation time point when i=1, and WDM is solar panel temperature data of a second operation time point when i=M>Is the sum of temperatures of the photovoltaic power station in the time period M; 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 power generation efficiency of the photovoltaic power station is reduced;
step B3: by calculationObtaining the illumination intensity change rate in the working time of the photovoltaic power station, wherein GZ1 is the illumination intensity data of a first operation time point; GZ2 is illumination intensity data at a second operating time point, and α is represented as a preset scaling factor and is not zero;
step B4: calculated by the change speed of the generated energyObtaining a power generation amount change rate, wherein FD2 is solar panel power generation amount data of a second operation time point, FD1 is solar panel power generation amount data of a first operation time point, and beta is expressed as a preset proportionality coefficient and is not zero.
The processor is used for carrying out simultaneous calculation on the temperature average 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 simultaneously sending the generating value to the cloud platform for storage;
the specific operation steps of the processor for simultaneous calculation comprise:
obtaining a solar panel temperature average value Q WD Rate of change of illumination intensity Q GZ And a power generation amount change rate Q FD By usingAcquiring a power generation value, wherein GZi is represented 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 values of a1, a2 and a3 are respectively 0.387, 0.143 and 1.264; η is a correction factor and is 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 performs early warning on the operation of the solar panels, judges whether the operation process of the solar panels is abnormal, and performs corresponding treatment, so that each solar panel can be ensured to normally operate, and the problem that the power generation efficiency of the photovoltaic power station is affected due to the occurrence of a problem in the operation process of a single solar panel is avoided;
the specific steps of judging and analyzing by the alarm module comprise:
when FDZ is more than or equal to BX2, generating a high-efficiency signal, wherein the power generation value is larger than the maximum value in the power generation standard value, which means that the solar panel has high solar efficiency conversion efficiency and high power generation efficiency, and the photovoltaic power station is in a high-efficiency power generation mode;
when BX1 is more than FDZ and less 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 FDZ is less than or equal to BX1, generating an alarm signal, wherein the generated value is lower than the minimum value in the generated standard value, and the generated value represents that the solar energy conversion efficiency of the solar panel is abnormal, the generated efficiency is low, and the abnormality of the solar panel in the photovoltaic power station is generated and needs to be confirmed and maintained in time;
BX2 is the maximum value of the power generation standard values, BX1 is the minimum value of the power generation standard values, and the high-efficiency signal, the normal signal and the alarm signal are combined to obtain a judging result, and meanwhile the judging result is sent into 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 into the alarm module;
the cloud platform calibrates the operation data corresponding to the high-efficiency signals in the judging 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, wherein the data analysis table has a reference function on the high-efficiency operation of the subsequent photovoltaic power station, and the processing port is a computer.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas which are obtained by acquiring a large amount of data and performing software simulation to obtain the closest actual situation, and preset parameters and preset thresholds in the formulas are set by a person skilled in the art according to the actual situation or are 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 examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to the present invention may occur to one skilled in the art without departing from the principles of the present invention and are intended to be within the scope of the present invention.
Claims (5)
1. The 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 collecting 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 the operation information sent by the processing monitoring module to obtain processing information and sending the processing information to the processor; the processor is used for carrying out simultaneous calculation on the temperature average 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 to obtain a judgment result;
the operation data comprise solar panel temperature data, illumination intensity data and solar panel power generation data;
the specific operation steps of the monitoring module for marking the operation data comprise:
step A1: acquiring solar panel temperature data in the operation data, and setting the temperature data to WD i, i=1, 2,3.
Step A2: the illumination intensity data in the operational data is obtained, and the illumination intensity data is set to GZ i, i=1, 2,3.
Step A3: acquiring solar panel power generation amount data in the operation data, and setting the solar panel power generation amount data to FD i, i=1, 2,3.
The step of the processing module for computing processing comprises the following steps:
step B1: acquiring the working time period of the photovoltaic power station through the cloud platform, acquiring any two different time points in the operation process of the photovoltaic power station in the working time period, respectively setting the any two different time points as a first operation time point and a second operation time point, acquiring the time difference between the first operation time point and the second operation time point and marking the time difference as M;
step B2: by calculationCalculating to obtain a solar panel temperature average value in the working time of the photovoltaic power station, wherein WD1 is solar panel temperature data of a first operation time point when i=1, and WDM is solar panel temperature data of a second operation time point when i=M>Is the sum of temperatures of the photovoltaic power station in the time period M;
step B3: by calculationObtaining the illumination intensity change rate in the working time of the photovoltaic power station, wherein GZ1 is the illumination intensity data of a first operation time point; GZ2 is illumination intensity data at a second operating time point, and α is represented as a preset scaling factor and is not zero;
step B4: calculated by the change speed of the generated energyObtaining a power generation amount change rate, wherein FD2 is solar panel power generation amount data of a second operation time point, FD1 is solar panel power generation amount data of a first operation time point, and beta is expressed as a preset proportionality coefficient and is not zero.
2. The photovoltaic power plant monitoring system of claim 1, wherein the processor performs the specific operation of: obtaining a solar panel temperature average value Q WD Rate of change of illumination intensity Q GZ And a power generation amount change rate Q FD By usingAcquiring a power generation value, wherein GZ i is represented as real-time illumination intensity data; WD i represents real-time solar panel temperature data; FD i represents real-time solar panel power generation data; wherein a1, a2 and a3 are represented as preset scaling factors and are not zero; η is a correction factor and is 0.5179.
3. The photovoltaic power plant monitoring system of claim 2, wherein the specific step of the alarm module performing the judgment and analysis comprises:
when FDZ is more than or equal to BX2, generating a high-efficiency signal, wherein the power generation value is larger than the maximum value in the power generation standard value, which means that the solar panel has high solar efficiency conversion efficiency and high power generation efficiency, and the photovoltaic power station is in a high-efficiency power generation mode;
when BX1 is more than FDZ and less 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 FDZ is less than or equal to BX1, generating an alarm signal, wherein the generated value is lower than the minimum value in the generated standard value, and the generated value represents that the solar energy conversion efficiency of the solar panel is abnormal, the generated efficiency is low, and the abnormality of the solar panel in the photovoltaic power station is generated and needs to be confirmed and maintained in time;
BX2 is the maximum value of the power generation standard values, BX1 is the minimum value of the power generation standard values, and the high-efficiency signal, the normal signal and the alarm signal are combined to obtain a judging result, and meanwhile the judging result is sent into the cloud platform.
4. The photovoltaic power station monitoring system according to claim 3, wherein the cloud platform obtains the working time period of the photovoltaic power station through the internet and 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 the judgment result sent by the receiving alarm module.
5. The photovoltaic power station monitoring system according to claim 4, wherein 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 the data analysis table.
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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 |
| CN116388685B8 (en) * | 2023-04-07 | 2024-04-26 | 青岛中筑新能源有限公司 | Solar cell panel operation control system |
| CN117114254B (en) * | 2023-10-25 | 2024-03-19 | 山东电力工程咨询院有限公司 | Power grid new energy abnormal data monitoring method and system |
| CN118413191A (en) * | 2024-07-02 | 2024-07-30 | 南通福太新能源有限公司 | Photovoltaic power station remote monitoring alarm system based on Internet of things |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 | Method for analyzing photovoltaic power station, computer storage medium and computer device |
| 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 |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104272128B (en) * | 2012-05-29 | 2016-11-09 | 优信电子（香港）有限公司 | Solar power generation monitors method and the solar power generation monitoring system using in the method |
-
2022
- 2022-09-20 CN CN202211142102.8A patent/CN115514318B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 | Method for analyzing photovoltaic power station, computer storage medium and computer device |
| 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 |
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