CN110233877B - Intelligent photovoltaic power generation fault comprehensive early warning system - Google Patents
Intelligent photovoltaic power generation fault comprehensive early warning system Download PDFInfo
- Publication number
- CN110233877B CN110233877B CN201910397667.2A CN201910397667A CN110233877B CN 110233877 B CN110233877 B CN 110233877B CN 201910397667 A CN201910397667 A CN 201910397667A CN 110233877 B CN110233877 B CN 110233877B
- Authority
- CN
- China
- Prior art keywords
- fault
- module
- early warning
- photovoltaic power
- power generation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000010248 power generation Methods 0.000 title claims abstract description 35
- 238000012423 maintenance Methods 0.000 claims abstract description 58
- 238000012545 processing Methods 0.000 claims abstract description 54
- 238000004458 analytical method Methods 0.000 claims abstract description 52
- 230000007613 environmental effect Effects 0.000 claims abstract description 7
- 238000012544 monitoring process Methods 0.000 claims description 28
- 238000004891 communication Methods 0.000 claims description 13
- 238000010586 diagram Methods 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 238000007619 statistical method Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000013079 data visualisation Methods 0.000 claims description 3
- 238000007689 inspection Methods 0.000 claims description 3
- 238000003672 processing method Methods 0.000 claims description 3
- 230000008054 signal transmission Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 4
- 230000007774 longterm Effects 0.000 abstract description 2
- 238000004519 manufacturing process Methods 0.000 description 5
- 230000003111 delayed effect Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 239000002803 fossil fuel Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/185—Electrical failure alarms
-
- 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
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Business, Economics & Management (AREA)
- Emergency Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Power Engineering (AREA)
- Photovoltaic Devices (AREA)
- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention discloses an intelligent photovoltaic power generation fault comprehensive early warning system, which analyzes current data of current branches in all header boxes under an inverter under each photovoltaic array area in a photovoltaic system to obtain the working state of each current branch. The collected data are transmitted to the cloud center, the cloud center and the central processing module are respectively analyzed, and the cloud center corrects the processing result of the central processing module. The fault early warning module of this system can be accurate effectual carries out hierarchical show to the fault early warning branch road, and show the image contrast with the data of this fault branch road all branch roads under same collection flow box, contrast information includes the contrast of the current information of all branch roads, and with day inclined plane irradiation, relative humidity, atmospheric pressure, backplate temperature etc. influence photovoltaic power generation's environmental factor's contrast, supply photovoltaic power plant maintenance personnel to refer to and the analysis, actual fortune to photovoltaic power plant maintains has important effect, long-term maintenance to photovoltaic power plant has the effect of lifting the weight.
Description
Technical Field
The invention relates to the field of energy, in particular to an intelligent photovoltaic power generation fault comprehensive early warning system.
Background
With the rapid development of the world economy, more and more energy is consumed. Fossil fuels are non-renewable, with oil, coal and gas reserves of 53.3 years, 113 years and 55.1 years, respectively. British oil company predicts that the proportion of renewable energy in 2030 s will be up to 30% of the global energy supply. Solar energy is one of the most desirable renewable energy sources, and in solar applications, photovoltaic power generation is one of the most important forms. Photovoltaic systems are generally used in individual systems for a single building, residential photovoltaic systems in rural areas, and large-scale photovoltaic power plants in remote areas. However, in actual production, the output power and operation and maintenance cost of the photovoltaic power station are affected by various factors such as temperature, dust and pollution, shading, component orientation and inclination, inverter efficiency, cable loss and the like. All of these factors contribute to a more or less derated photovoltaic output power, resulting in a loss of photovoltaic system output power. Meanwhile, the general floor area of the photovoltaic power station is large, and when the photovoltaic assembly is overhauled by operation and maintenance personnel, if the physical position of the photovoltaic assembly cannot be located in advance, the operation and maintenance cost can be increased, and even the serious hazards such as damage to related equipment, fire disasters and the like which endanger the safety of lives and properties can be caused due to untimely treatment. Therefore, it is very necessary to analyze the current data of the photovoltaic physical device in time and to perform early warning and maintenance on the fault current branch in time. The invention provides a photovoltaic power generation fault branch early warning comprehensive management system, which comprehensively analyzes current data of photovoltaic physical equipment, related environmental factors and the like according to actual field conditions, uploads an analysis result to a cloud center, and an operation and maintenance worker can timely process fault equipment by checking a data processing module and stores newly-appeared faults through man-machine interaction, so that the accuracy of a fault analysis model is improved, the production, operation and maintenance cost of a photovoltaic power station is greatly reduced, the loss of equipment components of the photovoltaic system is delayed, and the output electric energy of the photovoltaic system is improved to a certain extent.
Disclosure of Invention
The invention aims to provide an intelligent photovoltaic power generation fault comprehensive early warning system, aiming at the actual situation on site, by comprehensively analyzing current data of photovoltaic physical equipment, relevant environmental factors and the like and uploading the analysis result to a cloud center, operation and maintenance personnel can timely and effectively process fault equipment by checking a data processing module, the production, operation and maintenance cost of a photovoltaic power station is greatly reduced, the loss of equipment components of a photovoltaic system is delayed, and the output electric energy of the photovoltaic system is improved to a certain extent.
In order to achieve the purpose, the invention provides an intelligent photovoltaic power generation fault comprehensive early warning system which adopts the following technical scheme:
intelligent photovoltaic power generation fault comprehensive early warning system includes: the system comprises a central processing module, a network communication module, a data processing module, an equipment monitoring module, a fault early warning module, a fault analysis module, a fault operation and maintenance module and a fault equipment module;
the device monitoring module is connected with the photovoltaic power generation device for monitoring and early warning so as to carry out real-time monitoring; when a fault is monitored, the equipment monitoring module sends a fault position and fault information to the fault analysis module through the data processing module, the fault analysis module sets an optimal solution scheme by combining the fault information and the fault position and sends the optimal solution scheme to the fault early warning module and the fault operation and maintenance module so as to carry out fault early warning and fault maintenance; the fault early warning module, the fault analysis module and the fault operation and maintenance module are all connected to the data processing module, and signal transmission among the fault analysis module, the equipment monitoring module, the fault early warning module, the fault analysis module and the fault operation and maintenance module is all carried out by data processing and transmission through the data processing module; the central processing module is connected with the data processing module and the equipment monitoring module, and is used for receiving and analyzing fault processing information and carrying out information interaction with the remote server and the cloud center through the network communication module; and the fault equipment module is connected with the equipment monitoring module and is used for recording and storing when the equipment monitoring module monitors that the photovoltaic power generation equipment has faults.
The fault early warning module obtains an early warning result according to the received photovoltaic module current data transmitted by the data processing module and a background current fault analysis algorithm, and displays and early warns the early warning result.
The fault analysis module comprises a fault branch analysis unit, a fault type analysis unit and a fault summary analysis unit; the fault branch analyzing unit displays the severity grade and the fault type of the fault branch with faults and displays the image contrast of data of all branches which are under the same combiner box with the fault branch with faults; the comparison information at least comprises comparison of current information of all branches under the same header box and comparison of environmental factors influencing photovoltaic power generation by inclined plane irradiation, relative humidity, atmospheric pressure and backboard temperature on the same day; the fault type analysis unit is used for summarizing the fault types of the photovoltaic modules, and comprises all the fault types of the photovoltaic modules, fault branch current images and fault type descriptions so as to be used by operation and maintenance personnel for referring and analyzing the fault types; the fault summary analysis unit is used for analyzing and counting faults under all time scales, performing data visualization analysis on different severity degrees, different fault types and different equipment fault types to obtain a fault statistical analysis report, and displaying the fault statistical analysis report in the form of a table entry, a histogram or a pie chart.
If a new fault occurs, after a specific fault is found out through field inspection of photovoltaic power station maintenance personnel, the fault type is classified or adjusted in a manual input mode, a new type name is defined through a fault type analysis unit, a current image of the new fault type is added, characteristics of the new fault type image are briefly described, submitted and stored, and after the new fault type passes the verification, the new fault type is added into a fault type library.
The fault operation and maintenance module comprises a fault processed unit and a fault to-be-processed unit; the fault processing unit is used for counting and displaying fault information of the processed fault branch, wherein the fault information comprises a fault branch name, processing time, fault description, a processing method, maintenance personnel, maintenance working hours, maintenance personnel number and whether a new type exists; and the fault to-be-processed unit counts and displays unprocessed fault branches, performs classified display according to the severity level and prompts maintenance personnel to process in time.
The fault operation and maintenance module clearly marks the physical space structure distribution diagram of the fault branch, and therefore maintenance personnel of the photovoltaic power station can conveniently and accurately locate the fault branch.
The communication mode of the network communication module comprises a mobile network, a wireless network and a wired network, and the network communication module is used for transmitting data between the central processing module and the cloud center; the remote server is a mobile phone, a computer or a tablet computer and is used for checking data and modifying a control instruction of the central processing module.
The intelligent photovoltaic power generation fault comprehensive early warning system provided by the invention can be used for carrying out comprehensive current data analysis on the current branch in each header box under each inverter under each photovoltaic array area in the photovoltaic system, and the analysis result can be used for obtaining the working state of each current branch. The collected data can be transmitted to the cloud center at the first time, the cloud center and the central processing module are respectively analyzed, and the cloud center corrects the processing result of the central processing module. The fault early warning module of this system can be accurate effectual carries out hierarchical show to the fault early warning branch road, and can show the image contrast with the data of this fault branch road all branch roads under same collection flow box, contrast information includes the contrast of the current information of all branch roads, and with day inclined plane irradiation, relative humidity, atmospheric pressure, backplate temperature etc. influence photovoltaic power generation's environmental factor's contrast, supply photovoltaic power plant maintenance personnel to refer to and the analysis, actual fortune dimension to photovoltaic power plant has important effect, long-term maintenance to photovoltaic power plant has the effect of lifting the weight.
Drawings
Fig. 1 is a schematic structural diagram of an embodiment of an intelligent photovoltaic power generation fault comprehensive early warning system provided by the invention.
Fig. 2 is a schematic structural diagram of another embodiment of the intelligent photovoltaic power generation fault comprehensive early warning system provided by the invention.
Detailed Description
The technical solution of the present invention will be further described in more detail with reference to the following embodiments. It is to be understood that the described embodiments are merely a few embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 and fig. 2, fig. 1 and fig. 2 are schematic structural diagrams of different embodiments of an intelligent photovoltaic power generation fault comprehensive early warning system provided by the present invention. The device includes: the system comprises a central processing module 1, a network communication module 2, a data processing module 3, an equipment monitoring module 4, a fault early warning module 5, a fault analysis module 6, a fault operation and maintenance module 7 and a fault equipment module 8;
the equipment monitoring module 4 is connected with photovoltaic power generation equipment for monitoring and early warning so as to carry out real-time monitoring; when a fault is monitored, the equipment monitoring module 4 sends a fault position and fault information to the fault analysis module 6 through the data processing module 3, the fault analysis module 6 sets an optimal solution according to the fault information and the fault position, and sends the optimal solution to the fault early warning module 5 and the fault operation and maintenance module 7 for fault early warning and fault maintenance; the fault early warning module 5, the fault analysis module 6 and the fault operation and maintenance module 7 are all connected to the data processing module 3, the signal transmission between the fault analysis module 6 and the equipment monitoring module 4, and between the fault early warning module 5, the fault analysis module 6 and the fault operation and maintenance module 7 is all performed with data processing and transmission through the data processing module 3, wherein the data processing is the operation of data format conversion. The central processing module 1 is connected with the data processing module 3 and the equipment monitoring module 4, and is used for receiving and analyzing fault processing information and carrying out information interaction with a remote server and a cloud center through the network communication module 2; the fault equipment module 8 is connected with the equipment monitoring module 4 and used for recording and storing when the equipment monitoring module 4 monitors that the photovoltaic power generation equipment is in fault.
The photovoltaic power station maintenance personnel can clearly and comprehensively know the solved and unsolved fault branches according to the fault early warning module 5 and the fault analysis module 6, can clearly solve the found faults through the fault operation and maintenance module 7, and can timely and accurately maintain and overhaul the on-site photovoltaic module according to the fault severity level; the equipment monitoring module 4 is connected with the fault equipment module 8, and the fault branch is clearly marked on the fault equipment module 8, so that maintenance personnel of the photovoltaic power station can accurately position the fault branch conveniently.
The fault early warning module 5 obtains an early warning result according to the received photovoltaic module current data transmitted by the data processing module 4 and a background current fault analysis algorithm, and displays and early warns the early warning result.
If the system finds a new fault, the alarm information needs to be popped up and displayed at a place with a remarkable interface. The fault branch warning display content needs to be classified as follows: (1) according to the severity of the fault early warning result, a grading alarm can be given; (2) classifying the fault early warning results according to different equipment types (an inverter, a combiner box and a group string); (3) the faults are classified according to their types.
The fault analysis module 6 comprises a fault branch analysis unit 61, a fault type analysis unit 62 and a fault summary analysis unit 63; the fault branch analyzing unit 61 displays the severity level and the fault type of the fault branch with a fault, and displays the image contrast of data of all branches which are under the same combiner box with the fault branch with the fault; the comparison information at least comprises comparison of current information of all branches under the same header box and comparison of environmental factors influencing photovoltaic power generation by inclined plane irradiation, relative humidity, atmospheric pressure and backboard temperature on the same day; the fault type analysis unit 62 is used for summarizing the fault types of the photovoltaic modules, including all the fault types of the photovoltaic modules, fault branch current images and fault type descriptions, so that operation and maintenance personnel can refer to and analyze the fault types; the fault summary analysis unit 63 is configured to analyze and count faults under all time scales, perform data visualization analysis on different severity levels, different fault types, and different equipment fault types, obtain a fault statistical analysis report, and display the fault statistical analysis report in the form of a table entry, a histogram, or a pie chart.
If a new fault occurs, after a specific fault is found out through field inspection of photovoltaic power station maintenance personnel, the fault type is classified or adjusted in a manual input mode, a new type name is defined through a fault type analysis unit, a current image of the new fault type is added, characteristics of the new fault type image are briefly described, submitted and stored, and after the new fault type passes the verification, the new fault type is added into a fault type library.
The fault operation and maintenance module 7 comprises a fault processed unit 71 and a fault to-be-processed unit 72; the fault processing unit 71 is configured to count and display fault information of the processed fault branch, including a fault branch name, processing time, fault description, a processing method, maintenance personnel, maintenance work hours, the number of maintenance personnel, and whether there is a new type; the fault waiting processing unit 72 counts and displays unprocessed fault branches, performs classified display according to the severity level, and prompts maintenance personnel to process in time.
The fault operation and maintenance module 7 clearly marks the physical space structure distribution diagram of the fault branch, so that maintenance personnel of the photovoltaic power station can accurately position the fault branch conveniently.
The communication mode of the network communication module 2 comprises a mobile network, a wireless network and a wired network, and is used for transmitting data between the central processing module and the cloud center; the remote server is a mobile phone, a computer or a tablet computer and is used for checking data and modifying a control instruction of the central processing module.
And the cloud center analyzes the uploaded data and transmits an analyzed early warning result to the data processing module. The remote server comprises a mobile phone terminal, a tablet computer or a computer terminal and can be remotely checked and controlled in real time.
The photovoltaic power generation fault branch early warning comprehensive information system provided by the invention can be used for early warning the current branch of the solar photovoltaic power generation cell panel efficiently, reliably and for a long time, and photovoltaic power generation maintenance personnel in actual production can timely and accurately overhaul the fault branch through early warning feedback of the system, so that the situation that the power generation efficiency of a photovoltaic module is reduced and even potential safety hazards are generated due to untimely processing of the fault branch is avoided. The accurate fault branch early warning system is provided, so that the actual operation and maintenance center can be mastered by a plurality of people, the initiative right is mastered, and the production cost is greatly reduced.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (7)
1. The utility model provides an intelligence photovoltaic power generation trouble early warning system that synthesizes which characterized in that: the system comprises a central processing module, a network communication module, a data processing module, an equipment monitoring module, a fault early warning module, a fault analysis module, a fault operation and maintenance module and a fault equipment module;
the device monitoring module is connected with the photovoltaic power generation device for monitoring and early warning so as to carry out real-time monitoring; when a fault is monitored, the equipment monitoring module sends a fault position and fault information to the fault analysis module through the data processing module, the fault analysis module sets an optimal solution scheme by combining the fault information and the fault position and sends the optimal solution scheme to the fault early warning module and the fault operation and maintenance module so as to carry out fault early warning and fault maintenance; the fault early warning module, the fault analysis module and the fault operation and maintenance module are all connected to the data processing module, and signal transmission among the fault analysis module, the equipment monitoring module, the fault early warning module, the fault analysis module and the fault operation and maintenance module is all carried out by data processing and transmission through the data processing module; the central processing module is connected with the data processing module and the equipment monitoring module, and is used for receiving and analyzing fault processing information and carrying out information interaction with the remote server and the cloud center through the network communication module; and the fault equipment module is connected with the equipment monitoring module and is used for recording and storing when the equipment monitoring module monitors that the photovoltaic power generation equipment has faults.
2. The intelligent photovoltaic power generation fault comprehensive early warning system of claim 1, characterized in that: and the fault early warning module obtains an early warning result and displays and early warns the early warning result according to the received photovoltaic module current data transmitted by the data processing module and the current fault analysis algorithm of the background.
3. The intelligent photovoltaic power generation fault comprehensive early warning system of claim 1, characterized in that: the fault analysis module comprises a fault branch analysis unit, a fault type analysis unit and a fault summary analysis unit; the fault branch analyzing unit displays the severity grade and the fault type of the fault branch with faults and displays the image contrast of data of all branches which are under the same combiner box with the fault branch with faults; the comparison information at least comprises comparison of current information of all branches under the same header box and comparison of environmental factors influencing photovoltaic power generation by inclined plane irradiation, relative humidity, atmospheric pressure and backboard temperature on the same day; the fault type analysis unit is used for summarizing the fault types of the photovoltaic modules, and comprises all the fault types of the photovoltaic modules, fault branch current images and fault type descriptions so as to be used by operation and maintenance personnel for referring and analyzing the fault types; the fault summary analysis unit is used for analyzing and counting faults under all time scales, performing data visualization analysis on different severity degrees, different fault types and different equipment fault types to obtain a fault statistical analysis report, and displaying the fault statistical analysis report in the form of a table entry, a histogram or a pie chart.
4. The intelligent photovoltaic power generation fault comprehensive early warning system of claim 3, characterized in that: if a new fault occurs, after a specific fault is found out through field inspection of photovoltaic power station maintenance personnel, the fault type is classified or adjusted in a manual input mode, a new type name is defined through a fault type analysis unit, a current image of the new fault type is added, characteristics of the new fault type image are briefly described, submitted and stored, and after the new fault type passes the verification, the new fault type is added into a fault type library.
5. The intelligent photovoltaic power generation fault comprehensive early warning system of claim 1, characterized in that: the fault operation and maintenance module comprises a fault processed unit and a fault to-be-processed unit; the fault processing unit is used for counting and displaying fault information of the processed fault branch, wherein the fault information comprises a fault branch name, processing time, fault description, a processing method, maintenance personnel, maintenance working hours, maintenance personnel number and whether a new type exists; and the fault to-be-processed unit counts and displays unprocessed fault branches, performs classified display according to the severity level and prompts maintenance personnel to process in time.
6. The intelligent photovoltaic power generation fault comprehensive early warning system of claim 1, characterized in that: the fault operation and maintenance module clearly marks the physical space structure distribution diagram of the fault branch, so that maintenance personnel of the photovoltaic power station can accurately position the fault branch conveniently.
7. The intelligent photovoltaic power generation fault comprehensive early warning system of claim 1, characterized in that: the communication mode of the network communication module comprises a mobile network, a wireless network and a wired network, and is used for transmitting data between the central processing module and the cloud center; the remote server is a mobile phone, a computer or a tablet computer and is used for checking data and modifying a control instruction of the central processing module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910397667.2A CN110233877B (en) | 2019-05-14 | 2019-05-14 | Intelligent photovoltaic power generation fault comprehensive early warning system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910397667.2A CN110233877B (en) | 2019-05-14 | 2019-05-14 | Intelligent photovoltaic power generation fault comprehensive early warning system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110233877A CN110233877A (en) | 2019-09-13 |
| CN110233877B true CN110233877B (en) | 2021-08-20 |
Family
ID=67861240
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910397667.2A Active CN110233877B (en) | 2019-05-14 | 2019-05-14 | Intelligent photovoltaic power generation fault comprehensive early warning system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110233877B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111427930A (en) * | 2020-03-30 | 2020-07-17 | 广东电科院能源技术有限责任公司 | Low-voltage photovoltaic energy storage microgrid device monitoring management system, method and device |
| CN112532181B (en) * | 2020-12-29 | 2024-05-24 | 四川蜀旺新能源股份有限公司 | Photovoltaic power generation integrated management system and method based on Internet of Things |
| CN112686409A (en) * | 2021-01-09 | 2021-04-20 | 北京中恒博瑞数字电力科技有限公司 | Photovoltaic power plant patrols some management system of examining |
| CN113517857B (en) * | 2021-04-29 | 2022-12-27 | 中国电建集团贵州工程有限公司 | Photovoltaic solar power station operation and maintenance monitoring system based on Internet of things control technology |
| CN117529878A (en) * | 2021-06-29 | 2024-02-06 | 华为数字能源技术有限公司 | Power station operation and maintenance system, power station operation and maintenance method and photovoltaic power station |
| CN114154591A (en) * | 2021-12-14 | 2022-03-08 | 南方电网深圳数字电网研究院有限公司 | Intelligent early warning method and device for equipment state based on multi-source information |
| CN115225539A (en) * | 2022-07-26 | 2022-10-21 | 四川爱联科技股份有限公司 | Intelligent obstacle removing system and method |
| CN116026410A (en) * | 2023-01-06 | 2023-04-28 | 华能吉林发电有限公司长春热电厂 | Automatic inspection system based on computer intelligent technology |
| CN117239936A (en) * | 2023-11-10 | 2023-12-15 | 中国三峡新能源(集团)股份有限公司 | Information display method, device, centralized control system, medium and product |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101699500B1 (en) * | 2016-06-21 | 2017-02-13 | (주) 다쓰테크 | Photovoltaic System Having Function Charging Energy And Sensing Ground fault |
| CN107508550A (en) * | 2017-09-08 | 2017-12-22 | 深圳市智物联网络有限公司 | A kind of photovoltaic apparatus monitoring method and system based on Internet of Things |
| CN108173517A (en) * | 2018-01-12 | 2018-06-15 | 内蒙古电力勘测设计院有限责任公司 | A kind of photovoltaic generation monitoring management system |
| CN108322187A (en) * | 2018-02-11 | 2018-07-24 | 同济大学 | Photovoltaic plant monitors and O＆M integral system |
| CN108646640A (en) * | 2018-07-16 | 2018-10-12 | 浙江电腾云光伏科技有限公司 | A kind of photovoltaic cloud data collecting system and method |
| CN109151048A (en) * | 2018-09-10 | 2019-01-04 | 浙江电腾云光伏科技有限公司 | A kind of photovoltaic plant intelligent monitor system based on Internet of Things |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5602176B2 (en) * | 2012-03-27 | 2014-10-08 | 株式会社日立製作所 | Distributed power control apparatus and distributed power control method |
-
2019
- 2019-05-14 CN CN201910397667.2A patent/CN110233877B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101699500B1 (en) * | 2016-06-21 | 2017-02-13 | (주) 다쓰테크 | Photovoltaic System Having Function Charging Energy And Sensing Ground fault |
| CN107508550A (en) * | 2017-09-08 | 2017-12-22 | 深圳市智物联网络有限公司 | A kind of photovoltaic apparatus monitoring method and system based on Internet of Things |
| CN108173517A (en) * | 2018-01-12 | 2018-06-15 | 内蒙古电力勘测设计院有限责任公司 | A kind of photovoltaic generation monitoring management system |
| CN108322187A (en) * | 2018-02-11 | 2018-07-24 | 同济大学 | Photovoltaic plant monitors and O＆M integral system |
| CN108646640A (en) * | 2018-07-16 | 2018-10-12 | 浙江电腾云光伏科技有限公司 | A kind of photovoltaic cloud data collecting system and method |
| CN109151048A (en) * | 2018-09-10 | 2019-01-04 | 浙江电腾云光伏科技有限公司 | A kind of photovoltaic plant intelligent monitor system based on Internet of Things |
Non-Patent Citations (2)
| Title |
|---|
| "Cloud-based application platform for smart monitoring & management of photovoltaic generation systems";Jihyun Lee，Youngmee Shin，Ilwoo Lee;《2018 International Conference on Electronics, Information, and Communication》;20180405;全文 * |
| "光伏电站故障监测系统的设计与实现";沈才良;《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》;20160228;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110233877A (en) | 2019-09-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110233877B (en) | Intelligent photovoltaic power generation fault comprehensive early warning system | |
| CN112803592B (en) | Intelligent fault early warning method and system suitable for distributed power station | |
| CN205901441U (en) | Management and control system is concentrated in new forms of energy power station | |
| CN203324773U (en) | Wind farm centralized control system | |
| CN201910750U (en) | Novel BIPV solar photovoltaic power station system | |
| US20240142063A1 (en) | Method for troubleshooting potential safety hazards of compressor in smart gas pipeline network and internet of things system thereof | |
| CN110942235B (en) | Emergent evaluation system of electric power | |
| CN104537450A (en) | Power prediction system of distributed photovoltaic power generation system | |
| CN108614191A (en) | A kind of power distribution network and buried cable fault detection method based on BIM models | |
| CN114169570A (en) | Smart energy management platform based on Internet of things and cloud computing technology | |
| CN113420162B (en) | Equipment operation chain state monitoring method based on knowledge graph | |
| CN111509840A (en) | Wireless cluster visualization system and method based on power grid safety operation and maintenance | |
| CN111311133B (en) | Monitoring system applied to power grid production equipment | |
| CN103310389B (en) | Based on the overhead transmission line trouble hunting method of fault mode and Construction of Fault Tree | |
| CN114915029A (en) | Distributed photovoltaic power station remote online intelligent monitoring platform | |
| CN104375005A (en) | Networked wind power plant harmonic wave monitoring system and method | |
| CN111835083A (en) | Power supply information monitoring system, method and device, computer equipment and storage medium | |
| CN212623717U (en) | Remote energy consumption monitoring system based on raspberry group | |
| CN201656560U (en) | Real-time monitoring system for photovoltaic power station component status | |
| CN104574221A (en) | Method for identifying running states of photovoltaic power station on basis of electric quantity loss feature parameters | |
| CN116667783A (en) | Distributed photovoltaic power station maintenance system | |
| Zhou et al. | Research and Implementation of Distribution Network Operating Analysis Platform Based on Multi-source Heterogeneous Data | |
| CN111722601A (en) | Cement production line real-time monitoring system | |
| CN116664763A (en) | Automatic generation method of indication map of forbidden limit area of power construction site of three-dimensional point cloud | |
| CN115757569A (en) | New energy multi-type data allocation method and system based on domestic structure |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |