CN104486404A - Detection method and detection device of power fluctuation of wind power plant - Google Patents
Detection method and detection device of power fluctuation of wind power plant Download PDFInfo
- Publication number
- CN104486404A CN104486404A CN201410768556.5A CN201410768556A CN104486404A CN 104486404 A CN104486404 A CN 104486404A CN 201410768556 A CN201410768556 A CN 201410768556A CN 104486404 A CN104486404 A CN 104486404A
- Authority
- CN
- China
- Prior art keywords
- data
- detection method
- minute
- wind power
- communication manager
- 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.)
- Pending
Links
Classifications
-
- 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
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1034—Reaction to server failures by a load balancer
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0695—Management of faults, events, alarms or notifications the faulty arrangement being the maintenance, administration or management system
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to a detection method and a detection device of power fluctuation of a wind power plant. The detection method of the power fluctuation of the wind power plant comprises the following steps: acquiring data, analyzing data, storing data, monitoring and warning data. The detection method of the power fluctuation of the wind power plant is characterized by comprising the following steps: firstly analyzing data of maximum change rate of active power data in one minute and ten minutes according to data information obtained by acquiring data to respectively obtain the maximum power change rate of one minute and the maximum power change rate of ten minutes; storing data; then locally monitoring and displaying data and warning information; setting maximum power change rate alarm limiting value by the local monitor and generating alarm information. The detection method and the detection device can be used for quickly diagnosing failure state of the system; the detection method and the detection device take irreplaceable effects on the increase of reliability, safety and economical benefits of the wind power plant.
Description
Technical field
The present invention relates to a kind of power fluctuation detection method and checkout gear, particularly relate to a kind of for wind power surge detection method and checkout gear.
Background technology
Along with coal, the petering out of oil equal energy source, the mankind more and more pay attention to the utilization of regenerative resource.Wind energy is more and more subject to the attention of countries in the world as a kind of clean regenerative resource.Its amount of accumulateing is huge, and the wind energy in the whole world is about 2.74X10
9mW, wherein can utilize wind energy to be about 2X10
7mW, than the water energy total amount that the earth can develop also large 10 times.Wind Energy In China reserves are very large, distribute wide, only the wind energy content of land just about 2.53 hundred million kilowatts.The Wind Power Development of China is started late, but also achieves significant progress under the excitation and support of national policy, can reach 2,000 ten thousand kilowatts to accumulative installed capacity in 2010.
The area that wind energy resources enriches is general all more remote, and bad environments, and in wind power station, dispersion is compared in Wind turbines distribution, monitoring parameter is many, and this bring adverse effect all can to the control of wind power system.Generate electricity for fully effectively utilizing wind-force, Supervisory control and data acquisition (Supervisory Control and Data Acquisition, SCADA) system has the advantages such as information completely as the core of Automated condtrol, can raise the efficiency, correct grasp system running state, accelerate decision-making, contribute to rapid diagnosis system malfunction, to raising wind energy turbine set reliability of operation, fail safe and economic benefit, there is irreplaceable effect.
In view of this, the present inventor, through constantly studying and repetition test, has invented wind power surge detection method and checkout gear, in order to solve the above problems.
Summary of the invention
The object of wind power surge detection method of the present invention and checkout gear is to provide one and has information completely in wind energy turbine set monitoring, raises the efficiency, correct detection method and the checkout gear grasping system running state.
For achieving the above object, wind power surge detection method of the present invention and checkout gear, comprise data acquisition, data analysis, data storage and monitoring alarm, first the data message through data acquisition carries out data analysis for the maximum rate of change of active power data in 1 minute and 10 minutes, obtains the maximum power variation rate of 1 minute and 10 minutes respectively; Carry out data storage; Then carry out local monitor display data and warning information, local monitor arranges oneself maximum power variation rate alarm limit value, produces warning information;
The first buffer memory of the data collected is saved in communication manager, and within 1 minute, maximum power variation rate is preserved once for 1 minute, and power preserves the mean value in 1 time 1 minute for 1 minute, and frequency preserves the instantaneous value of 1 minute, and within 10 minutes, maximum power variation rate is preserved 1 time for ten minutes;
First the power variation rate of 1 minute gathers must from the 0th second of 1 minute, and every 10 seconds once, 1 minute 6 times; The acquisition time of ten minutes must be the zero beginning in the 0th second of any one hour, within every ten minutes, becomes a point, 1 hour 6 times;
When in the cycle be all positive number or negative time, average; When there being positive number also to have negative in the cycle, only do the mean value of positive number; The maximum power variation rate of 1 minute and 10 minutes adopts difference rate of change or Change in Mean rate;
Difference rate of change is in computing cycle, and in the active power data acquisition system of system acquisition, the difference of last data and first data is difference rate of change in chronological order;
Change in Mean rate is the active power data acquisition system of system acquisition in computing cycle, the value that is averaged computing, then deducts first data in set, is Change in Mean rate;
Comprise image data equipment, communication manager, local monitor, server end, background data center and monitoring control end; Described image data equipment with communication manager be connected, communication manager is connected with server end respectively at local monitor; Server connects background data center and monitoring control end respectively; The data collected are forwarded real time data and alarm by communication manager to server end and local monitor by described image data equipment; Server end comprises Network communication service module and data service module, and Network communication service module is as the network data of received server-side communication manager, and Network communication service module is connected by TCP/IP procotol with communication manager; Background data center comprises configuration editor module, configuration display module, parameter configuration module and network communication module.Background data center is provided with fixing IP, sets up network be connected, according to communications protocol exchanging network data by network communication module with the Network communication service module of server end; Data service module connects as the network of received server-side background data center, forwards real time data and alarm to client; Data service module includes parameter setting operation and is also handed down to communication manager through data service module, adopts TCP/IP mode to carry out network communication with communication manager; Monitoring control end adopts TCP/IP mode to carry out network communication by server end and communication manager;
Communication manager comprises processor, mainboard and cabinet; Described mainboard is provided with memory space, and externally signaling interface is provided with two RS232 interfaces, RJ45 socket and Ethernet interface simultaneously; Be provided with debug serial port and universal serial port one in addition;
In communication manager, data preserve the mode adopting and roll and store, and when an insufficient storage space exists, delete the file of earliest period.
Have employed above-mentioned technological means, beneficial effect of the present invention is data acquisition, data analysis, data storage and monitoring alarm, first the data message through data acquisition carries out data analysis for the maximum rate of change of active power data in 1 minute and 10 minutes, obtains the maximum power variation rate of 1 minute and 10 minutes respectively; Carry out data storage; Then carry out local monitor display data and warning information, local monitor arranges oneself maximum power variation rate alarm limit value, produces warning information.There is information completely, raise the efficiency, correct detection method and the checkout gear grasping system running state.In sum, detection method of the present invention and checkout gear is adopted to have the advantages such as information completely as the core of Automated condtrol, can raise the efficiency, correct grasp system running state, accelerate decision-making, contribute to rapid diagnosis system malfunction, to raising wind energy turbine set reliability of operation, fail safe and economic benefit, there is irreplaceable effect.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Fig. 1 is the data flow figure of wind power surge detection method of the present invention and checkout gear.
Embodiment
For making the object of the embodiment of the present invention, technical scheme and advantage clearly, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiment
Wind power surge detection device comprises server end, client, communication manager, background data center and data acquisition equipment.The data flow figure of wind power surge detection method of the present invention and checkout gear as shown in Figure 1.The data collected are forwarded real time data and alarm by communication manager to server end and local monitor by acquisition monitoring data equipment.If equipment is RS232 or 485 interfaces, data acquisition equipment uses NPort to carry out interface conversion, data acquisition.Server end comprises Network communication service module and data service module.Network communication service module is as the network data of received server-side communication manager.Network communication service module is connected by TCP/IP procotol with communication manager.After Network communication service module and communication manager set up network communication, exchange the data on wind power surge detection device according to communications protocol.Background data center comprises configuration editor module, configuration display module, parameter configuration module and network communication module.Background data center is provided with fixing IP, sets up network be connected, according to communications protocol exchanging network data by network communication module with the Network communication service module of server end.Data service module connects as the network of received server-side background data center, forwards real time data and alarm to client.Data service module includes parameter setting operation and is also handed down to communication manager through data service module, adopts TCP/IP mode to carry out network communication with communication manager.Client comprises local monitoring and monitor terminal.Local monitoring connecting communication supervisor; Monitor terminal adopts TCP/IP mode to carry out network communication by server end and communication manager.Client is carried out network communication and is obtained real time data and alarm, and data are presented to user by the configuration display module of background data center in client.
Communication manager comprises processor, mainboard, and external signaling interface is provided with two RS232 interfaces, RJ45 socket and Ethernet interface; Be provided with debug serial port and universal serial port one in addition.Processor selects the IXP425 of Intel as core processor, and described processor has stronger network throughput and data storage capacities.Communication manager selects GMFS-2M IXP425 mainboard as embedded forwarding server, and this mainboard is fixed in cabinet by corresponding stud.There is stronger network throughput and data storage capacities.
First wind power surge detection method is data acquisition, and the equipment that the data acquisition in the present invention can be directed to wind energy turbine set carries out data acquisition.By the agreement image data in corresponding wind farm device system.Minimum collection period 6 seconds, wind power only gathers active power, reactive power, apparent power and frequency.Next data collected needs first buffer memory to be saved in communication manager.Maximum power variation rate adopts difference rate of change or Change in Mean rate algorithm realization.Difference rate of change be in computing cycle one minute or ten minutes), in the active power data acquisition system of system acquisition, the difference of last data and first data is difference rate of change in chronological order.If in computing cycle, the number of the data acquisition system of collection, deficiency should gather 80% of number, then do not carry out the calculating in this cycle.Change in Mean rate be in computing cycle one minute or very master slave system gather active power data acquisition system, the value that is averaged computing, then deducts first data in set, is Change in Mean rate.
Further power variation rate computational methods are that the power variation rate collection of 1 minute must from the 0th second of 1 minute, and every 10 seconds once, 1 minute 6 times.In these 6 times, device data adopts mean value, and frequency adopts instant value; Gather-for 6th time and gather=1 minute power difference rate of change 1 time, if be greater than alarm threshold value, produce alarm; If the mean value of power-the first point=1 minute power Change in Mean rate is greater than power alarm threshold value and also can produces alarm.Numerical value regardless of first time collection value is just or bears, and mean value or last value are positive just calculating, and do not upload and specimens preserving if not positive then abandoning.The power variation rate of 10 minutes calculates so same, and the zero that must be X hour unlike the acquisition times of ten minutes starts on the 0th second.
Mean value in power preservation per minute a time a minute.Adopt method be the first step agreement blower fan generating time power on the occasion of, be negative value time powered; The average algorithm of second step 1 minute internal power data: when in the cycle be all positive number or negative time, average; When there being positive number also to have negative in the cycle, only do the mean value of positive number; The maximum power variation rate data separately process of the 3rd step 1 minute and 10 minutes, during the maximum power variation rate statistics of 10 minutes, can not use the maximum power variation rate data of 1 minute.These data preserve the mode adopting and roll and store, if insufficient memory, delete the file of earliest period.Data message through data acquisition calculates for the maximum rate of change of active power data in 1 minute and 10 minutes, obtains the maximum power variation rate of 1 minute and 10 minutes respectively.Then carry out local monitor display data and warning information, local monitor arranges oneself maximum power variation rate alarm limit value, produces the warning information of oneself.Local monitor is provided with user right, only has keeper to revise alarm limit value.Manager can the alarm of hand-reset maximum power variation rate.This swing detection apparatus for electric useful life manages, and can issue and obtain the time limit coding of communication manager.And expire by prompting in first 60 days in useful life.Last in background data center, adopt configuration mode display real time data and warning information.The maximum power variation rate data of 1 minute and 10 minutes are shown with report form.The configuration parameter of background data center, can configure the various parameters of running background.This device is also provided with real time monitoring memory space simultaneously, when residual memory space is less than the limit value of setting, produces alarm, and sends a warning message to background data center and local monitoring terminals.Communication manager timing to background data center synchronization history data and history alarm, initiated by background data center.Background data center also can carry out synchronous data operation by operating personnel.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (10)
1. wind power surge detection method, comprise data acquisition, data analysis, data storage and monitoring alarm, it is characterized in that: the data message first through data acquisition carries out data analysis for the maximum rate of change of active power data in 1 minute or 10 minutes, obtains the maximum power variation rate of 1 minute or 10 minutes respectively; Carry out data storage, then local monitor display data and warning information, local monitor arranges oneself maximum power variation rate alarm limit value, produces warning information and controls.
2. wind power surge detection method according to claim 1, it is characterized in that the first buffer memory of data collected is saved in communication manager, within 1 minute, maximum power variation rate is preserved once for 1 minute, power preserves the mean value in 1 time 1 minute for 1 minute, frequency preserves the instantaneous value of 1 minute, and within 10 minutes, maximum power variation rate is preserved 1 time for ten minutes.
3. wind power surge detection method according to claim 2, it is characterized in that first the power variation rate of 1 minute gathers must from the 0th second of 1 minute, and every 10 seconds are once, 1 minute 6 times; The acquisition time of ten minutes must be the zero beginning in the 0th second of any one hour, within every ten minutes, becomes a point, 1 hour 6 times.
4. wind power surge detection method according to claim 1, it is characterized in that when in the cycle be all positive number or negative time, average; When there being positive number also to have negative in the cycle, only do the mean value of positive number.
5. wind power surge detection method according to claim 1, is characterized in that the maximum power variation rate of 1 minute and 10 minutes adopts difference rate of change or Change in Mean rate.
6. wind power surge detection method according to claim 5, it is characterized in that difference rate of change is in computing cycle, in the active power data acquisition system of system acquisition, the difference of last data and first data is difference rate of change in chronological order.
7. wind power surge detection method according to claim 5, is characterized in that Change in Mean rate is the active power data acquisition system of system acquisition in computing cycle, the value that is averaged computing, then deducts first data in set, be Change in Mean rate.
8. the checkout gear of wind power surge detection method according to claim 1, is characterized in that: comprise image data equipment, communication manager, local monitor, server end, background data center and monitoring control end; Described image data equipment with communication manager be connected, communication manager is connected with server end respectively at local monitor; Server connects background data center and monitoring control end respectively; The data collected are forwarded real time data and alarm by communication manager to server end and local monitor by described image data equipment; Server end comprises Network communication service module and data service module, and Network communication service module is as the network data of received server-side communication manager, and Network communication service module is connected by TCP/IP procotol with communication manager; Background data center comprises configuration editor module, configuration display module, parameter configuration module and network communication module.Background data center is provided with fixing IP, sets up network be connected, according to communications protocol exchanging network data by network communication module with the Network communication service module of server end; Data service module connects as the network of received server-side background data center, forwards real time data and alarm to client; Data service module includes parameter setting operation and is also handed down to communication manager through data service module, adopts TCP/IP mode to carry out network communication with communication manager; Monitoring control end adopts TCP/IP mode to carry out network communication by server end and communication manager.
9. the checkout gear of wind power surge detection method according to claim 8, is characterized in that communication manager comprises processor, mainboard and cabinet; Described mainboard is provided with memory space, and externally signaling interface is provided with two RS232 interfaces, RJ45 socket and Ethernet interface simultaneously; Be provided with debug serial port and universal serial port one in addition.
10. the checkout gear of wind power surge detection method according to claim 8, is characterized in that in communication manager, data preserve the mode adopting and roll and store, when an insufficient storage space exists, deletes the file of earliest period.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410768556.5A CN104486404A (en) | 2014-12-11 | 2014-12-11 | Detection method and detection device of power fluctuation of wind power plant |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410768556.5A CN104486404A (en) | 2014-12-11 | 2014-12-11 | Detection method and detection device of power fluctuation of wind power plant |
Publications (1)
Publication Number | Publication Date |
---|---|
CN104486404A true CN104486404A (en) | 2015-04-01 |
Family
ID=52760908
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410768556.5A Pending CN104486404A (en) | 2014-12-11 | 2014-12-11 | Detection method and detection device of power fluctuation of wind power plant |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104486404A (en) |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201412272Y (en) * | 2009-06-02 | 2010-02-24 | 中能电力科技开发有限公司 | Wind farm monitoring system |
CN201813161U (en) * | 2010-07-16 | 2011-04-27 | 北京中科伏瑞电气技术有限公司 | Wind power forecasting system |
CN202735788U (en) * | 2012-03-31 | 2013-02-13 | 广东电网公司电力科学研究院 | Wind generating set running state remote-monitoring and fault diagnosis system |
CN103245912A (en) * | 2013-03-23 | 2013-08-14 | 中国水利电力物资有限公司 | Analytical and diagnostic method for running states of wind turbines |
CN203324773U (en) * | 2013-05-29 | 2013-12-04 | 东润环能(北京)科技有限公司 | Wind farm centralized control system |
CN103472802A (en) * | 2013-09-13 | 2013-12-25 | 同济大学 | Wind generating set intelligent condition monitoring terminal and data processing method thereof |
CN103516051A (en) * | 2013-10-11 | 2014-01-15 | 国家电网公司 | Centralized monitoring system platform for wind power plants |
CN104200323A (en) * | 2014-09-02 | 2014-12-10 | 中国海洋石油总公司 | Electric energy quality monitoring and management system |
-
2014
- 2014-12-11 CN CN201410768556.5A patent/CN104486404A/en active Pending
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201412272Y (en) * | 2009-06-02 | 2010-02-24 | 中能电力科技开发有限公司 | Wind farm monitoring system |
CN201813161U (en) * | 2010-07-16 | 2011-04-27 | 北京中科伏瑞电气技术有限公司 | Wind power forecasting system |
CN202735788U (en) * | 2012-03-31 | 2013-02-13 | 广东电网公司电力科学研究院 | Wind generating set running state remote-monitoring and fault diagnosis system |
CN103245912A (en) * | 2013-03-23 | 2013-08-14 | 中国水利电力物资有限公司 | Analytical and diagnostic method for running states of wind turbines |
CN203324773U (en) * | 2013-05-29 | 2013-12-04 | 东润环能(北京)科技有限公司 | Wind farm centralized control system |
CN103472802A (en) * | 2013-09-13 | 2013-12-25 | 同济大学 | Wind generating set intelligent condition monitoring terminal and data processing method thereof |
CN103516051A (en) * | 2013-10-11 | 2014-01-15 | 国家电网公司 | Centralized monitoring system platform for wind power plants |
CN104200323A (en) * | 2014-09-02 | 2014-12-10 | 中国海洋石油总公司 | Electric energy quality monitoring and management system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103245912B (en) | A kind of running of wind generating set state analysis diagnostic method and system | |
CN103166219B (en) | Power grid on-line decision-stabilizing control system and control method based on super real-time emulation | |
CN109557862A (en) | A kind of photovoltaic plant power monitor device and method based on edge calculations | |
CN110910626A (en) | Energy consumption information acquisition system based on ubiquitous power Internet of things | |
CN109709854A (en) | A kind of photovoltaic plant arc fault monitoring device and method based on edge calculations | |
CN104751280A (en) | Petrochemical enterprise electric energy consumption monitoring system and data management method thereof | |
CN202906492U (en) | Solar cell panel generating monitoring system based on DC carrier wave technology | |
CN113589096A (en) | Edge calculation system and method for multi-state-quantity configurable power transformation equipment | |
CN105486959A (en) | Power transformer fault diagnosis system based on Internet-of-things and cloud computing | |
CN209149127U (en) | A kind of photovoltaic plant arc fault monitoring device based on edge calculations | |
CN110929115B (en) | Power utilization safety monitoring method and system based on power utilization characteristics | |
Eslava et al. | Implementation of machine-to-machine solutions using MQTT protocol in internet of things (IoT) environment to improve automation process for electrical distribution substations in Colombia | |
CN109390937A (en) | A kind of electric parameter discrimination method and its system based on Operation of Electric Systems data | |
CN203596664U (en) | Power-theft real-time early-warning system | |
CN202978437U (en) | Intelligent routing inspection system for transformer substations | |
CN204314703U (en) | A kind of high-voltage motor intelligent monitor system | |
CN103543253A (en) | Networking communication method of on-line wind turbine generator gearbox oil liquid monitoring system | |
CN106026403A (en) | Intelligent monitoring and managing system for photovoltaic power station | |
CN205846869U (en) | Photovoltaic plant intelligent monitoring management system | |
CN104134167A (en) | Power-distribution-network state simulation and evaluation system based on mesh topology structure | |
CN116736001A (en) | Method, device, equipment and storage medium for detecting power running state | |
CN104486404A (en) | Detection method and detection device of power fluctuation of wind power plant | |
CN103178520B (en) | Based on the method for SCADA data Real-Time Monitoring power oscillation of power system | |
CN105305613B (en) | A kind of traditional power network reorganization and expansion increases Allocation transformer intelligent control method | |
CN104375020B (en) | A kind of distributed online electric network failure diagnosis method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150401 |
|
RJ01 | Rejection of invention patent application after publication |