本文關(guān)鍵詞： 運(yùn)行數(shù)據(jù) 風(fēng)電場(chǎng) 相關(guān)性分析 故障預(yù)警 動(dòng)態(tài)等值　出處：《華僑大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：近年來(lái),隨著風(fēng)電場(chǎng)的規(guī)模急劇擴(kuò)大,確保風(fēng)電場(chǎng)的安全運(yùn)行顯得越來(lái)越重要。本文基于SCAD A系統(tǒng)監(jiān)測(cè)運(yùn)行數(shù)據(jù),從時(shí)間和空間的角度出發(fā)對(duì)風(fēng)電場(chǎng)的動(dòng)態(tài)等值建模及故障預(yù)警進(jìn)行研究,為減少風(fēng)電場(chǎng)因事故性機(jī)組停機(jī)次數(shù)和進(jìn)行事故后的故障原因分析提供理論指導(dǎo)。首先,基于風(fēng)電場(chǎng)安裝的SCAD A系統(tǒng),對(duì)風(fēng)電場(chǎng)內(nèi)各機(jī)組的監(jiān)測(cè)項(xiàng)目進(jìn)行相關(guān)性分析,直觀地挖掘出風(fēng)電機(jī)組子系統(tǒng)和元件間的交互耦合性,進(jìn)而提出風(fēng)電機(jī)組運(yùn)行狀態(tài)間存在著動(dòng)態(tài)灰色關(guān)聯(lián)性的觀點(diǎn),并對(duì)數(shù)據(jù)樣本的跨度進(jìn)行確定。相關(guān)性分析所得的結(jié)論為風(fēng)電機(jī)組的故障預(yù)警和風(fēng)電場(chǎng)動(dòng)態(tài)等值建模提供依據(jù)。其次,基于機(jī)組子系統(tǒng)和元件間存在的交互耦合關(guān)系以及機(jī)組發(fā)生事故前的臨界狀態(tài)特性,將動(dòng)態(tài)網(wǎng)絡(luò)標(biāo)記引入風(fēng)電機(jī)組故障預(yù)警研究中。結(jié)合回歸支持向量機(jī)和動(dòng)態(tài)網(wǎng)絡(luò)標(biāo)記,對(duì)風(fēng)電機(jī)組的監(jiān)測(cè)運(yùn)行數(shù)據(jù)進(jìn)行降噪處理后,通過(guò)機(jī)組運(yùn)行過(guò)程中動(dòng)態(tài)網(wǎng)絡(luò)標(biāo)記值的變化對(duì)機(jī)組故障發(fā)生前的臨界轉(zhuǎn)換點(diǎn)與故障可能發(fā)生的部位進(jìn)行追蹤。該方法能夠全面把握機(jī)組運(yùn)行狀態(tài)的發(fā)展變化趨勢(shì),為制定合理的檢修計(jì)劃、保障機(jī)組安全運(yùn)行提供可靠的技術(shù)支持。最后,基于風(fēng)電機(jī)組運(yùn)行狀態(tài)間存在的動(dòng)態(tài)灰色關(guān)聯(lián)性,將灰色關(guān)聯(lián)分析理論引入風(fēng)電場(chǎng)動(dòng)態(tài)等值建模研究中。結(jié)合動(dòng)態(tài)灰色關(guān)聯(lián)分析方法和聚類算法,構(gòu)造一個(gè)動(dòng)態(tài)灰色關(guān)聯(lián)度矩陣G并將其作為機(jī)群聚類指標(biāo),將機(jī)組運(yùn)行狀態(tài)間的動(dòng)態(tài)灰色關(guān)聯(lián)性融入到動(dòng)態(tài)等值模型中。仿真結(jié)果證明,所建立的風(fēng)電場(chǎng)動(dòng)態(tài)等值模型與詳細(xì)模型較接近,能夠準(zhǔn)確地反映風(fēng)電場(chǎng)并網(wǎng)點(diǎn)的動(dòng)態(tài)特性,適用于風(fēng)電并網(wǎng)故障的暫態(tài)穩(wěn)定分析。本文提出的基于運(yùn)行數(shù)據(jù)的風(fēng)電場(chǎng)動(dòng)態(tài)等值建模及故障預(yù)警研究方法,完全基于風(fēng)電場(chǎng)的實(shí)測(cè)運(yùn)行數(shù)據(jù),可靠真實(shí),且直觀簡(jiǎn)單,具有一定的推廣價(jià)值。
[Abstract]:In recent years, with the rapid expansion of the scale of wind farm, to ensure the safe operation of the wind farm becomes more and more important. In this paper, SCAD A monitoring system based on operation data, time and space from the perspective of dynamic equivalent modeling and fault prediction of wind farm are studied. The analysis provides theoretical guidance to reduce the failure reasons for accidents of wind farm the shutdown times and after the accident. First of all, the SCAD A system installed in wind farm based on the correlation analysis of monitoring items of each generator in wind farm, directly mining interaction coupling of wind turbine system and the element, and then put forward the operation state of wind turbine dynamic grey correlation exists between point of view, and the data sample span were determined. Correlation analysis results provide the basis for modeling the equivalent fault warning and wind farm dynamic wind turbine. The time base In the unit subsystem and component interaction and coupling relationship between unit critical state characteristics before the accident, the dynamic network markers in wind turbine fault warning research. Combined with support vector machine and dynamic network marker regression, on the wind turbine operation monitoring data for noise reduction, critical transition point of the dynamic changes of network fault markers during normal operation and fault value before the position of possible tracking. This method can fully grasp the development trend of the change of the running status of the unit, is the formulation reasonable overhaul plan, provide reliable technical support to protect the safe operation of the unit. Finally, a dynamic grey correlation operation state of wind the power unit based on grey relational analysis theory into the research on equivalent modeling of wind farm dynamic. Combined with dynamic grey correlation analysis method and poly Algorithm, constructed a dynamic grey correlation matrix G as cluster clustering index into dynamic grey correlation between the running status of the unit to the dynamic equivalent model. The simulation results show that the dynamic equivalent model of wind farms and the detailed model is close to that can accurately reflect the dynamic characteristics of wind farm network, transient stability analysis for wind power grid fault. Wind farm dynamic research on equivalent modeling and fault prediction method based on the operation data in this paper, fully measured operation data of wind farm based on real, reliable, simple and intuitive, and has a certain popularization value.

【學(xué)位授予單位】：華僑大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TM614;TM743

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本文編號(hào)：1485715