CN203101531U - Wind power plant power quality monitoring system based on time series database platform - Google Patents
Wind power plant power quality monitoring system based on time series database platform Download PDFInfo
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- CN203101531U CN203101531U CN 201220576572 CN201220576572U CN203101531U CN 203101531 U CN203101531 U CN 203101531U CN 201220576572 CN201220576572 CN 201220576572 CN 201220576572 U CN201220576572 U CN 201220576572U CN 203101531 U CN203101531 U CN 203101531U
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Abstract
The utility model relates to the field of wind power generation, specifically to a wind power plant power quality monitoring system based on a time series database platform. The system comprises a data acquisition and storage module, a data processing module and a display module which are connected in sequence, and the system is connected with a fan device and a power grid monitoring device, and data communication is performed. The system acquires, processes, compresses, stores, processes, inquires and accounts mass data of fans of different manufacturers in the wind power plant, great advancement is achieved in the speed of data acquisition and data access, and real-time performance of data transmission is ensured.
Description
Technical field
The utility model relates to wind power generation field, is specifically related to a kind of wind energy turbine set electric energy quality monitoring system based on the time series database platform.
Background technology
Historical data base is the basis of WAMS (WAMS) in real time, and this also can be applicable in a plurality of systems such as supervisory control of substation, scheduling, direct current, steady control simultaneously.Historical data base will offer above each system as a subsystem of Sophic rtdb data platform system and get developer's use in real time.The interface that the feasible personnel that develop based on Sophic rtdb platform of real-time historical data base provide by its system is realized high capacity, and the access of high-frequency mass data is showed and analysis.If the electric energy quality monitoring system neither one of tradition wind-powered electricity generation is efficient, the fast data platform, they just can not guarantee its correctness at data monitored, real-time, and monitoring result can not real-time update show.
Greatly developing the wind-power electricity generation cause at present and alleviating the nervous situation of energy supply, along with increasing wind power plant is connected to the grid.Because the uncertainty of wind-resources and the operation characteristic of wind-powered electricity generation unit own, when the wind-powered electricity generation set grid-connection moves, can influence the quality of power supply of electrical network, as voltage deviation, voltage fluctuation and flickering, harmonic wave etc., can the security and stability of electrical network be worked the mischief when serious, present existing wind-powered electricity generation electric energy quality monitoring system has been realized the collection to data substantially, transmission and analyzing and processing function, because monitoring system needs to gather in wind-powered electricity generation quality monitoring process, storage, analyze the blower fan electric current of man of various different vendor in the wind energy turbine set, the harmonic data of voltage, the electric power measurement Value Data, the measurement data of supply voltage, the measurement data of frequency, the measurement data of tri-phase unbalance factor, the measurement data of flickering and error analysis etc., traditional monitoring system can not well meet the demands on data acquisition and data access speed.
The utility model content
At the deficiencies in the prior art, the utility model provides a kind of wind energy turbine set electric energy quality monitoring system based on the time series database platform, this system to the mass data of wind energy turbine set different vendor blower fan gather, handle, compress, storage, processing, inquiry, statistics etc., on the speed of data acquisition and data access, improve a lot, guarantee real time of data transmission.
Content of the present utility model is to adopt following technical proposals to realize:
A kind of wind energy turbine set electric energy quality monitoring system based on the time series database platform, its improvements are that described system comprises data acquisition and memory module, data processing module and the display module that connects successively; Described system is connected with Fan Equipment, electric network monitoring device, carries out data communication.
Wherein, described data acquisition comprises data acquisition module and the data memory module that is connected successively with memory module.
Wherein, described data acquisition module comprises protocol converter and Scada server; Described Fan Equipment is connected with protocol converter; Described protocol converter is connected with the Scada server respectively with AC Power Monitor and Control.
Wherein, described data memory module is a historical database server, and described historical database server comprises disk array, metadata cache, data compressing module, data collector and shared drive; Described historical database server is connected with history library; Described data collector sends the data of receiving to shared drive and stores.
Wherein, described data processing module adopts data processing server.
Wherein, described display module adopts workstation or LCD to show.
Wherein, described LCD, client-server, data processing server and Scada server all are connected with shared drive with memory interface by data access; Described shared drive, data collector and data cache module are connected successively; Described data cache module is connected with history library by the data transmit-receive thread.
Wherein, described system adopts the system architecture of client and server end C/S, supports two or two above servers.
Compared with prior art, the beneficial effect that reaches of the utility model is:
The wind energy turbine set electric energy quality monitoring system that the utility model provides based on time series database (Sophic rtdb) platform, guarantee the real-time and the correctness of monitoring system source data by time series database at a high speed, solved the data collection problems of different manufacturers blower fan, the user can check, derive the data in real time, the historical data that are stored in lane database at any time by workstation, can monitor the wind energy turbine set quality of power supply more efficiently.Be specially:
1. the wind energy turbine set electric energy quality monitoring system that provides of the utility model based on time series database (Sophic rtdb) platform, adopt the distributed system framework, the user need not be concerned about the physical location of data server when visit data, the handling property of total system and capacity can smooth upgrades.
2. support cross-platform operation, both can on the Windows operating system platform, move, also can move on the (SuSE) Linux OS platform, also can on the commingled system platform, move at various UNIX.
3. the wind energy turbine set electric energy quality monitoring system handling property height that provides of the utility model based on time series database (Sophic rtdb) platform, configurable counting more than 100,000, data submit to handling capacity to reach more than the per second hundred all things spares, have fully excavated the potentiality of modern processors technology, operation system technology, memory technology and network communications technology.
4. second development interface is simple, easy-to-use, supports multi-link, multi-thread access, is convenient to the user and carries out other application system.
5. when main station system has newly-increased data to insert, only need to increase the memory capacity of configurable number strong point and database server, and do not need to carry out the dilatation of any software aspect.
6. the data base access module of system has good transparency and secondary development ability, and each systemic-function is used the use of therefore database and is restricted, simultaneously can be easily to database safeguard, development and utilization.
7. support lossy compression method and lossless compress simultaneously, can between lossy compression method and lossless compress, seamlessly transit that under the equal conditions, have higher compressibility, the data compression maximum can reach 10 times.
8. the wind energy turbine set electric energy quality monitoring system based on time series database (Sophic rtdb) platform that provides of the utility model has abundant curve and report capability, the user realizes browsing the real-time tendency curve and history curve allows all kinds of forms of User Defined, carries out all kinds of mathematical statisticss, analysis.
9. the wind energy turbine set electric energy quality monitoring system based on time series database (Sophic rtdb) platform that provides of the utility model has the stipulations translation function, and the information translation that can gather multiple different vendor blower fan becomes unified agreement to be stored in lane database.
Description of drawings
Fig. 1 is the wind energy turbine set electric energy quality monitoring system Organization Chart based on time series database (Sophic rtdb) platform that the utility model provides;
Fig. 2 is the data acquisition module Organization Chart that the utility model provides;
Fig. 3 is the data memory module Organization Chart that the utility model provides.
Embodiment
Below in conjunction with accompanying drawing embodiment of the present utility model is described in further detail.
The utility model provide based on the wind energy turbine set electric energy quality monitoring system of time series database (Sophic rtdb) platform as shown in Figure 1, comprise data acquisition/memory module, data processing module and data disaply moudle three parts.
(1) data acquisition and memory module:
Data acquisition/memory module is divided into data acquisition and two submodules of data storage.
Data acquisition module mainly is responsible for gathering the parameter information of Fan Equipment and electrical network, because it is incompatible between each producer of blower fan communications protocol, can't reach unified standard, add the information that protocol converter can be gathered the different manufacturers blower fan in this time series database platform.The user can be provided with the data that data acquisition parameters comes acquisition system to need flexibly in addition, and its Organization Chart as shown in Figure 2.
Data memory module is the core of system, the main real-time of being responsible for guaranteeing data, and the quick access of data.This module generally adopts the system architecture of client and server end (C/S), supports two or multiple servers to realize the redundancy backup of data simultaneously, adopts the configuration mode of two server generally speaking.System schematic as shown in Figure 3.
As shown in Figure 3, when the wind energy turbine set electric energy quality monitoring system based on time series database (Sophic rtdb) platform that the utility model provides carries out data access, adopt the system architecture of client and server end (C/S), the data access of time series database Sophic rtdb platform is divided into client and server, each client two (or many) servers in system simultaneously sends data, for each server end keeps a buffer zone, can improve the access speed of data, and when network interrupts or server stops accordingly, be kept in the local cache using the data of submitting to, wait the follow-up supervention of fault recovery to send.Client only need be known the address and the port numbers of server, can with the server line data inquiry and submitting to of going forward side by side that connects, need not to be concerned about the bottom details such as buffer memory, repeating transmission of data.
Client-end subsystem is responsible for providing application interface, data filter, the realization of metadata cache forwarding capability.The data that application is submitted to by interface are at first passed through the data filter module, and filtration is deposited in afterwards, and wait is sent out in the shared buffer memory, if network or server failure, then data can be buffered in this locality, and pending fault mails to server end after recovering again.
The data compression of server end subsystem responsible, decompression; Data storage; Data retrieval; Thread management; The realization of measuring point management function.Server end is given data cache module after receiving the historical data that client sends, and deposits internal memory in.Data cache module is called the data compressing module packed data after buffer memory is expired or reached the certain hour requirement, deposit the data after the compression in database by data access module.
(2) data processing module:
Data processing module will be monitored voltage deviation, frequency departure, harmonic wave, three-phase imbalance, voltage dip and voltage fluctuation and six power quality indexs of flickering.
Choosing of each power quality index monitoring algorithm is as follows:
1) voltage deviation monitoring: to the voltage effective value monitoring, to the effective value integration of consecutive periods signal.
2) frequency departure monitoring: adopt self-adaptation to adjust sampling interval, can solve the asynchronous error of sampling that fixed sample occurs at interval the time, ripple uniform sampling weekly when guaranteeing frequency change is equivalent to realize with software the function of phase lock circuitry.When adopting self-adaptation to adjust sampling interval, use the Fourier algorithm survey frequency, will be with four cycles in when beginning, wherein two cycles are used for carrying out the frequency measurement first time, change sampling interval according to practical frequency then, two other cycle is used for measuring actual frequency.
3) can be undertaken by symmetrical component method the analysis of electric power tri-phase unbalance factor, symmetrical component method is adopted in the measurement of imbalance of three-phase voltage, unbalance voltage is decomposed into positive sequence, negative phase-sequence and zero-sequence component realizes.Because it is very complicated to take into account the preface component calculating of harmonic wave, only consider that at present fundamental signal is carried out the preface component to be calculated.
4) the harmonic measure algorithm adopts discrete Fourier transformation (DFT) and Fast Fourier Transform (FFT) (FFT).
5) voltage dip monitoring is adopted and can be simultaneously electric voltage dropping amplitude and phase hit be monitored, and the instantaneous voltage decomposition method is carried out the voltage dip monitoring.
6) the first-harmonic method of offsetting is adopted in the monitoring of voltage fluctuation and flicker.
(3) data disaply moudle:
Data that the user was concerned about and monitoring result during the monitoring result display module mainly is responsible for regularly will being stored in the time series database display by forms such as pie chart, post figure, curve, forms.
Should be noted that at last: above embodiment only is not intended to limit in order to the explanation the technical solution of the utility model, although the utility model is had been described in detail with reference to the foregoing description, those of ordinary skill in the field are to be understood that: still can make amendment or be equal to replacement embodiment of the present utility model, and do not break away from any modification of the utility model spirit and scope or be equal to replacement, it all should be encompassed in the middle of the claim scope of the present utility model.
Claims (8)
1. the wind energy turbine set electric energy quality monitoring system based on the time series database platform is characterized in that, described system comprises data acquisition and memory module, data processing module and the display module that connects successively; Described system is connected with Fan Equipment, electric network monitoring device, carries out data communication.
2. the wind energy turbine set electric energy quality monitoring system based on the time series database platform as claimed in claim 1 is characterized in that, described data acquisition comprises data acquisition module and the data memory module that is connected successively with memory module.
3. the wind energy turbine set electric energy quality monitoring system based on the time series database platform as claimed in claim 2 is characterized in that described data acquisition module comprises protocol converter and Scada server; Described Fan Equipment is connected with protocol converter; Described protocol converter is connected with the Scada server respectively with AC Power Monitor and Control.
4. the wind energy turbine set electric energy quality monitoring system based on the time series database platform as claimed in claim 2, it is characterized in that, described data memory module is a historical database server, and described historical database server comprises disk array, metadata cache, data compressing module, data collector and shared drive; Described historical database server is connected with history library; Described data collector sends the data of receiving to shared drive and stores.
5. the wind energy turbine set electric energy quality monitoring system based on the time series database platform as claimed in claim 1 is characterized in that, described data processing module adopts data processing server.
6. the wind energy turbine set electric energy quality monitoring system based on the time series database platform as claimed in claim 1 is characterized in that, described display module adopts workstation or LCD to show.
7. the wind energy turbine set electric energy quality monitoring system based on the time series database platform as claimed in claim 6, it is characterized in that described LCD, client-server, data processing server and Scada server all are connected with shared drive with memory interface by data access; Described shared drive, data collector and data cache module are connected successively.
8. the wind energy turbine set electric energy quality monitoring system based on the time series database platform as claimed in claim 1 is characterized in that, described system adopts the system architecture of client and server end C/S, supports two or two above servers.
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201220576572 CN203101531U (en) | 2012-11-05 | 2012-11-05 | Wind power plant power quality monitoring system based on time series database platform |
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| CN 201220576572 CN203101531U (en) | 2012-11-05 | 2012-11-05 | Wind power plant power quality monitoring system based on time series database platform |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439610A (en) * | 2013-08-30 | 2013-12-11 | 国家电网公司 | Electric power quality detecting collecting terminal |
| CN103823140A (en) * | 2014-02-27 | 2014-05-28 | 华北电力大学 | Power grid topology error identification system and method based on road-loop equation |
| CN104793067A (en) * | 2014-01-20 | 2015-07-22 | 国家电网公司 | Estimation system and method for power adjustment and electric energy quality of wind power station |
| CN105277811A (en) * | 2014-06-19 | 2016-01-27 | 国网山西省电力公司电力科学研究院 | Power quality early-warning device for electric vehicle battery charging and swapping stations |
| CN106556777A (en) * | 2017-02-10 | 2017-04-05 | 云南电网有限责任公司电力科学研究院 | Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line |
| CN107463575A (en) * | 2016-06-06 | 2017-12-12 | 上海电气风电集团有限公司 | A kind of new Intelligent wind power historical data processing method and system |
| CN112052243A (en) * | 2020-09-08 | 2020-12-08 | 贵州乌江水电开发有限责任公司东风发电厂 | Continuous waveform recording method based on database technology |
| CN112559502A (en) * | 2020-12-01 | 2021-03-26 | 国能日新科技股份有限公司 | Wind power plant data management system based on time sequence database platform |
| CN113535418A (en) * | 2020-04-16 | 2021-10-22 | 新疆金风科技股份有限公司 | Multi-process operation method and device for wind power plant |
-
2012
- 2012-11-05 CN CN 201220576572 patent/CN203101531U/en not_active Expired - Lifetime
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103439610A (en) * | 2013-08-30 | 2013-12-11 | 国家电网公司 | Electric power quality detecting collecting terminal |
| CN104793067A (en) * | 2014-01-20 | 2015-07-22 | 国家电网公司 | Estimation system and method for power adjustment and electric energy quality of wind power station |
| CN104793067B (en) * | 2014-01-20 | 2018-05-01 | 国家电网公司 | The assessment system and its appraisal procedure with power quality are adjusted for wind power |
| CN103823140A (en) * | 2014-02-27 | 2014-05-28 | 华北电力大学 | Power grid topology error identification system and method based on road-loop equation |
| CN103823140B (en) * | 2014-02-27 | 2016-05-18 | 华北电力大学 | Power network topology misidentification system and method thereof based on road-loop equation |
| CN105277811A (en) * | 2014-06-19 | 2016-01-27 | 国网山西省电力公司电力科学研究院 | Power quality early-warning device for electric vehicle battery charging and swapping stations |
| CN107463575A (en) * | 2016-06-06 | 2017-12-12 | 上海电气风电集团有限公司 | A kind of new Intelligent wind power historical data processing method and system |
| CN106556777A (en) * | 2017-02-10 | 2017-04-05 | 云南电网有限责任公司电力科学研究院 | Based on the wind-electricity integration operational monitoring method and system that the quality of power supply is monitored on-line |
| CN113535418A (en) * | 2020-04-16 | 2021-10-22 | 新疆金风科技股份有限公司 | Multi-process operation method and device for wind power plant |
| CN112052243A (en) * | 2020-09-08 | 2020-12-08 | 贵州乌江水电开发有限责任公司东风发电厂 | Continuous waveform recording method based on database technology |
| CN112052243B (en) * | 2020-09-08 | 2021-05-14 | 贵州乌江水电开发有限责任公司东风发电厂 | Continuous waveform recording method based on database technology |
| CN112559502A (en) * | 2020-12-01 | 2021-03-26 | 国能日新科技股份有限公司 | Wind power plant data management system based on time sequence database platform |
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