JPS62214275A - Abnormality detecting system for windmill - Google Patents
Abnormality detecting system for windmillInfo
- Publication number
- JPS62214275A JPS62214275A JP61058604A JP5860486A JPS62214275A JP S62214275 A JPS62214275 A JP S62214275A JP 61058604 A JP61058604 A JP 61058604A JP 5860486 A JP5860486 A JP 5860486A JP S62214275 A JPS62214275 A JP S62214275A
- Authority
- JP
- Japan
- Prior art keywords
- turbine
- generator
- range
- abnormality
- signal
- 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
- 230000005856 abnormality Effects 0.000 title claims abstract description 23
- 230000002159 abnormal effect Effects 0.000 claims abstract description 5
- 238000001514 detection method Methods 0.000 claims description 12
- 238000010586 diagram Methods 0.000 description 6
- 238000004092 self-diagnosis Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000010248 power generation Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000008054 signal transmission Effects 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
Classifications
-
- 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
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Landscapes
- Wind Motors (AREA)
Abstract
Description
【発明の詳細な説明】
〔産業上の利用分野〕
本発明は発電用風車の公安t装置に適用される風車の異
常検知システムに関するものである。DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a wind turbine abnormality detection system applied to a public safety device for a wind turbine for power generation.
一般に、発電用j風車には保安装置が備えられているが
、この保安装置は風車を構成する機器独自の異常を直接
的に検知する纒能を有するものである。Generally, power generation wind turbines are equipped with a safety device, and this safety device has the ability to directly detect abnormalities unique to the equipment that constitutes the wind turbine.
(発明が解決しようとする問題点)
従来の保安装置は機器独自の異常を直接的に検知する異
常検知機能しかもっていないので、機器相互間の関連動
作による異常検知は難しく、かつその検知結果は保安装
置の動作状態によっても左右される。したがって、適確
な異常検知を行なえない欠点があった。(Problems to be Solved by the Invention) Conventional security devices only have an abnormality detection function that directly detects abnormalities unique to the equipment, so it is difficult to detect abnormalities based on the related operations between equipment, and the detection results are difficult to detect. also depends on the operating state of the safety device. Therefore, there is a drawback that accurate abnormality detection cannot be performed.
そこで、本発明は機器独自の異常は勿論、機器相互間の
異常等についても検知可能で、総合的に適確な異常検知
が可能な風車の異常検知システムを提供することを目的
とする。SUMMARY OF THE INVENTION Therefore, an object of the present invention is to provide a wind turbine abnormality detection system that is capable of detecting not only abnormalities unique to each device but also abnormalities between devices, and capable of comprehensively and accurately detecting abnormalities.
本発明は上記問題点を解決し、目的を達成するために次
のような手段を講じた。すなわら、風車運転中の風速2
発電機出力及びタービン回転数を連続的にサンプリング
し、サンプリングしたデータをマイクロコンピュータに
て演ロ、平均化して平均風速と平均発電機出力との関係
を得、これを一定の許容範囲を設けた正常な運転範囲と
比較し、この運転範囲を逸脱したとき、風車の運転状態
を異常と判定するようにする。The present invention has taken the following measures to solve the above problems and achieve the object. In other words, the wind speed 2 during windmill operation
The generator output and turbine rotation speed were continuously sampled, and the sampled data was calculated and averaged using a microcomputer to obtain the relationship between the average wind speed and the average generator output, and a certain tolerance range was set for this. The operating state of the wind turbine is determined to be abnormal when it is compared with a normal operating range and deviates from this operating range.
本検知システムは、複数の機器の動作結果を、各機器が
正常に動作した状態と比較し、変化量が許容値を越えた
場合に警報を出すシステムであるので、間接的な監視シ
ステムであるが、自己診断機能を喝えかつソフト及びハ
ードの両面から異常を総合的に判断可能となる。This detection system compares the operating results of multiple devices with the state in which each device is operating normally, and issues an alarm if the amount of change exceeds the allowable value, so it is an indirect monitoring system. However, by using the self-diagnosis function, it becomes possible to comprehensively determine abnormalities from both software and hardware aspects.
第1図は、本発明の一実施例を示V構成図である。第1
図において、1は風車本体であるプロペラであり、この
プロペラ1はナセル2に回転自在に取付けられている。FIG. 1 is a V configuration diagram showing an embodiment of the present invention. 1st
In the figure, reference numeral 1 denotes a propeller which is the main body of a wind turbine, and this propeller 1 is rotatably attached to a nacelle 2.
ナセル2の外部には風速計3が取付けられている。また
、ナセル2の内部には前記プロペラ1の軸に結合した発
電llI4及びタービン5が収容されている。風速計3
からの風速信号9発電I環4からの発電機出力信号、タ
ービン5からの回転数1i号は、それぞれ信号伝送ライ
ン6.7.8を介して演算制tIIl装置9/\伝送さ
れるものとなっている。演算制御装置9は、伝送されで
きた各信号を例えば0.2秒毎にサンプリングするサン
プリング回路と、このサンプリング回路でサンプリング
された各信号から各々数分間の平均値を求め、かつ[平
均風速とタービン回転数J。An anemometer 3 is attached to the outside of the nacelle 2. Further, inside the nacelle 2, a power generating unit 114 connected to the shaft of the propeller 1 and a turbine 5 are housed. Anemometer 3
The wind speed signal 9 from the generator I ring 4 and the rotational speed 1i from the turbine 5 shall be transmitted via the signal transmission line 6.7.8 to the control unit 9/\\, respectively. It has become. The arithmetic and control unit 9 has a sampling circuit that samples each transmitted signal every 0.2 seconds, and calculates an average value for several minutes from each signal sampled by this sampling circuit, and calculates the [average wind speed and Turbine rotation speed J.
「平均風速と平均発電機出力」との関係を得るマイクロ
コンピュータとからなっている。It consists of a microcomputer that obtains the relationship between "average wind speed and average generator output."
演算制wJ装置9で得られた平均風速と平均タービン回
転数、平均風速と平均発電機出力との関係を示すデータ
は比較判定装置10へ送られる。Data indicating the relationship between the average wind speed and the average turbine rotation speed, and between the average wind speed and the average generator output obtained by the arithmetic control wJ device 9 is sent to the comparison and determination device 10.
比較判定装置10は、上記各データについて一定の許容
範囲を設けた正常な運転範囲と比較し、その運転範囲を
逸脱したときは、風車の運転状態が異常であると判定し
警報信号を送出するものとなっている。The comparison/judgment device 10 compares each of the above data with a normal operating range with a certain allowable range, and when it deviates from the operating range, determines that the operating state of the wind turbine is abnormal and sends out an alarm signal. It has become a thing.
このように構成された本検知システムにおいては、風車
が運転を開始すると、第2図に示す「風速とタービン回
転数」の特性カーブにて正常範囲か否かが監視される。In this detection system configured as described above, when the wind turbine starts operating, it is monitored whether the wind speed and the turbine rotation speed are within the normal range using the characteristic curve of "wind speed and turbine rotation speed" shown in FIG.
そして風速が増加すると、第3図に示す「風速と発電機
出力」の特性カーブにて正常運転範囲に入っているか否
かが監視される。When the wind speed increases, it is monitored whether it is within the normal operating range using the characteristic curve of "wind speed and generator output" shown in FIG.
可変式プロペラ風車は、風速条件によってプロペラ角度
をコントロールするものであるため、制御装置からの指
令信号が出ないと、l1lrJの正常な運転特性から外
れる。又、機器に損傷等の異常が生じた場合も、正常な
運転特性を確保できず、運転状態が異常範囲に入る。Since the variable propeller wind turbine controls the propeller angle depending on wind speed conditions, if a command signal is not issued from the control device, the l1lrJ will deviate from its normal operating characteristics. Further, if an abnormality such as damage occurs to the equipment, normal operating characteristics cannot be ensured, and the operating state falls into an abnormal range.
本検知システムによれば、このような場合に警報が発せ
られるので、その異常を適確に検知できる。According to this detection system, an alarm is issued in such a case, so that the abnormality can be accurately detected.
本実施例によれば、機器独自の異常検知は勿論、制御装
置の作動状態も監視でき、自己診断機能をもった保安シ
ステムとなる。風車は防護壁がない屋外で回るため、保
安装置は二重三重の保安は能が必要となるが、本異常検
知システムによれば総合診断が可能なので、構成が単純
化され、信頼性の高い保安システムとなる。According to this embodiment, it is possible to not only detect an abnormality unique to the equipment but also monitor the operating state of the control device, resulting in a safety system with a self-diagnosis function. Since wind turbines rotate outdoors without protective walls, the safety equipment must have double and triple protection, but this anomaly detection system enables comprehensive diagnosis, simplifying the configuration and increasing reliability. It becomes a security system.
なお本発明は前記実施例に限定されるものではなく、本
発明の要旨を逸脱しない範囲で種々変形実施可能である
のは勿論である。Note that the present invention is not limited to the embodiments described above, and it goes without saying that various modifications can be made without departing from the gist of the present invention.
本発明によれば、複数の機器の動作結果を、各機器が正
常に動作した状態と比較し、変化量が許容値を越えた場
合に警報を出すシステムであるので、間接的な監視シス
テムであるが、自己診断機能を備えかつソフト及びハー
ドの両面から異常を総合的に判断可能となる。したがっ
て機器独自の異常は勿論1機器相互間の異常等について
も検知可能で、総合的に適確な異常検知が可能な風車の
異常検知システムを提供することができる。According to the present invention, the system compares the operation results of multiple devices with the state in which each device is operating normally, and issues an alarm if the amount of change exceeds the allowable value, so it is an indirect monitoring system. However, it has a self-diagnosis function and can comprehensively determine abnormalities from both software and hardware aspects. Therefore, it is possible to detect not only abnormalities unique to each device, but also abnormalities between devices, and it is possible to provide a wind turbine abnormality detection system capable of comprehensively and accurately detecting abnormalities.
第1図〜第3因は本発明の一実施例を示す図で、第1図
は本検知システムの構成を示す図、第2図は平均風速と
タービン回転数との特性図、第3図は平均風速と発ff
i機出力との関係を示す特性図である。
1・・・プロペラ、2・・・ナセル、3・・・風速計、
4・・・発電機、5・・・タービン、6〜8・・・信号
伝送ライン、9・・・演算制御ll装置、10・・・比
較判定装置。Figures 1 to 3 are diagrams showing one embodiment of the present invention. Figure 1 is a diagram showing the configuration of this detection system, Figure 2 is a characteristic diagram of average wind speed and turbine rotation speed, and Figure 3 is a diagram showing an example of the present invention. is the average wind speed and departure ff
It is a characteristic diagram showing the relationship with the i machine output. 1... propeller, 2... nacelle, 3... anemometer,
4... Generator, 5... Turbine, 6-8... Signal transmission line, 9... Arithmetic control device, 10... Comparison/judgment device.
Claims (1)
続的にサンプリングし、サンプリングしたデータをマイ
クロコンピュータにて演算、平均化して平均風速と平均
発電機出力との関係を得、これを一定の許容範囲を設け
た正常な運転範囲と比較し、この運転範囲を逸脱したと
き、風車の運転状態を異常と判定する風車の異常検知シ
ステム。During wind turbine operation, the wind speed, generator output, and turbine rotation speed are continuously sampled, and the sampled data is calculated and averaged by a microcomputer to obtain the relationship between the average wind speed and the average generator output. A wind turbine abnormality detection system that compares the operating state with a normal operating range with a set tolerance range and determines that the operating state of the wind turbine is abnormal when the operating state deviates from this operating range.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP61058604A JPS62214275A (en) | 1986-03-17 | 1986-03-17 | Abnormality detecting system for windmill |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP61058604A JPS62214275A (en) | 1986-03-17 | 1986-03-17 | Abnormality detecting system for windmill |
Publications (1)
Publication Number | Publication Date |
---|---|
JPS62214275A true JPS62214275A (en) | 1987-09-21 |
Family
ID=13089120
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP61058604A Pending JPS62214275A (en) | 1986-03-17 | 1986-03-17 | Abnormality detecting system for windmill |
Country Status (1)
Country | Link |
---|---|
JP (1) | JPS62214275A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6837681B2 (en) * | 2000-05-06 | 2005-01-04 | Aloys Wobben | Wind power plant with a particle sensor |
JP2008144682A (en) * | 2006-12-11 | 2008-06-26 | Shinko Electric Co Ltd | Power generating device |
US7552614B2 (en) | 2001-11-27 | 2009-06-30 | Aloys Wobben | System and method for determining functionality or accuracy of a sensor |
EP2108829A1 (en) * | 2007-01-29 | 2009-10-14 | Mitsubishi Heavy Industries, Ltd. | Wind-driven generator |
WO2011086691A1 (en) * | 2010-01-15 | 2011-07-21 | 三菱重工業株式会社 | Wind power generation apparatus and method for activating same |
-
1986
- 1986-03-17 JP JP61058604A patent/JPS62214275A/en active Pending
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6837681B2 (en) * | 2000-05-06 | 2005-01-04 | Aloys Wobben | Wind power plant with a particle sensor |
US7552614B2 (en) | 2001-11-27 | 2009-06-30 | Aloys Wobben | System and method for determining functionality or accuracy of a sensor |
JP2008144682A (en) * | 2006-12-11 | 2008-06-26 | Shinko Electric Co Ltd | Power generating device |
EP2108829A1 (en) * | 2007-01-29 | 2009-10-14 | Mitsubishi Heavy Industries, Ltd. | Wind-driven generator |
EP2108829A4 (en) * | 2007-01-29 | 2013-08-21 | Mitsubishi Heavy Ind Ltd | Wind-driven generator |
WO2011086691A1 (en) * | 2010-01-15 | 2011-07-21 | 三菱重工業株式会社 | Wind power generation apparatus and method for activating same |
US8232662B2 (en) | 2010-01-15 | 2012-07-31 | Mitsubishi Heavy Industries, Ltd. | Wind turbine generator and start-up method of the same |
CN102782317A (en) * | 2010-01-15 | 2012-11-14 | 三菱重工业株式会社 | Wind power generation apparatus and method for activating same |
JP5079092B2 (en) * | 2010-01-15 | 2012-11-21 | 三菱重工業株式会社 | Wind power generator and method for starting the same |
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