多逆變器并網(wǎng)光伏電站動態(tài)孤島檢測方法研究
本文選題:孤島檢測 切入點:多逆變器 出處:《沈陽工業(yè)大學(xué)》2017年碩士論文 論文類型:學(xué)位論文
【摘要】:隨著能源的短缺,光伏、風(fēng)能等清潔能源日益受到青睞,近些年,光伏并網(wǎng)發(fā)電技術(shù)迅速發(fā)展。孤島保護作為光伏并網(wǎng)系統(tǒng)的一項必備保護,其檢測方法及方法改進的研究一直受到廣泛關(guān)注。當光伏并網(wǎng)系統(tǒng)的大電網(wǎng)斷開,光伏單獨為負載供電,此現(xiàn)象稱為孤島現(xiàn)象,孤島發(fā)生會對檢修人員和用電設(shè)備均造成傷害,所以必須及時檢測出孤島現(xiàn)象,并采取相應(yīng)的保護措施,孤島檢測方法的研究具有實際意義,F(xiàn)有的孤島檢測主要是針對單逆變器并網(wǎng)條件下孤島檢測方法或者改進的方法的研究,然而隨著光伏容量的增加,逆變器臺數(shù)的增多,多逆變器孤島檢測也隨之面臨更多的問題。本文首先對單逆變器并網(wǎng)孤島檢測方法進行了詳細的分析,隨后對多逆變器并網(wǎng)孤島檢測問題開展研究,主要內(nèi)容如下:(1)研究建立多逆變器采用主動頻移法相互影響和作用機理模型,對多逆變器并網(wǎng)盲區(qū)變化機理進行分析(2)針對多逆變器并網(wǎng)孤島檢測特性,結(jié)合仿真和實測數(shù)據(jù)進行分析,研究基于小波分析的多逆變器并網(wǎng)孤島特征向量的提取方法;(3)研究基于小波變換與支持向量機的多逆變器并網(wǎng)孤島檢測法,應(yīng)用支持向量機建立所提取的特征量的分類模型及求解方法,對多逆變器并網(wǎng)孤島進行判斷。仿真結(jié)果表明,基于支持向量機的多逆變器并網(wǎng)孤島檢測算準確率高,穩(wěn)定性好,能夠有效區(qū)分孤島和非孤島兩種不同運行狀態(tài)。
[Abstract]:With the shortage of energy, photovoltaic, wind energy and other clean energy are increasingly favored. In recent years, photovoltaic grid-connected power generation technology has developed rapidly. The research on the detection method and method improvement has been paid more and more attention. When the large grid of photovoltaic grid-connected system is disconnected, the photovoltaic power supply for the load alone, this phenomenon is called "isolated island phenomenon", and the occurrence of isolated island will cause harm to maintenance personnel and electric equipment. So we must detect the phenomenon of isolated islands in time and take corresponding protective measures. The research of islanding detection method is of practical significance. The existing islanding detection is mainly aimed at the islanding detection method or the improved method under the condition of single inverter grid-connected. However, with the increase of photovoltaic capacity, the number of inverters increases. The islanding detection of multi-inverter also faces more problems. Firstly, the detection method of single-inverter grid-connected islanding is analyzed in detail, and then the detection problem of multi-inverter grid-connected islanding detection is studied. The main contents are as follows: 1) the model of interaction and action mechanism of multi-inverter using active frequency shift method is established, and the mechanism of blind zone change of multi-inverter grid-connected is analyzed. Based on the analysis of simulated and measured data, this paper studies the method of extracting the eigenvector of multi-inverter grid-connected islanding based on wavelet analysis) and studies the detection method of grid-connected islanding of multi-inverter based on wavelet transform and support vector machine. The classification model and solution method of the extracted feature are established by using support vector machine. The simulation results show that the detection accuracy and stability of multi-inverter grid-connected island detection based on support vector machine are high. It can effectively distinguish two different operation states: isolated island and non-isolated island.
【學(xué)位授予單位】:沈陽工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TM464;TM615
【參考文獻】
相關(guān)期刊論文 前10條
1 張佑鵬;邵如平;楊波;;改善的主動頻率偏移法在光伏并網(wǎng)孤島檢測中的應(yīng)用[J];電測與儀表;2015年06期
2 劉傳洋;劉景景;;一種有效的主動頻率偏移孤島檢測算法的研究[J];通信電源技術(shù);2014年03期
3 余運俊;張燕飛;萬曉鳳;張翔;;光伏微網(wǎng)主動式孤島檢測方法綜述[J];電測與儀表;2014年01期
4 黃亞峰;于洋;嚴干貴;李龍;常青云;;光伏逆變器無功調(diào)節(jié)能力分析與控制策略研究[J];電網(wǎng)與清潔能源;2013年08期
5 武東輝;田林亞;張金華;;小波時間序列在地鐵沉降監(jiān)測中的應(yīng)用[J];測繪科學(xué);2013年02期
6 李濤;夏浪;張宇;何怡剛;;基于提升復(fù)小波的暫態(tài)電能質(zhì)量擾動的檢測與定位[J];中國電機工程學(xué)報;2011年25期
7 朱艷偉;石新春;李鵬;;多分辨率奇異譜熵和支持向量機在孤島與擾動識別中的應(yīng)用[J];中國電機工程學(xué)報;2011年07期
8 宋國明;王厚軍;劉紅;姜書艷;;基于提升小波變換和SVM的模擬電路故障診斷[J];電子測量與儀器學(xué)報;2010年01期
9 陳衛(wèi)東;雷軍;;基于第二代小波變換的脈搏信號去噪處理[J];測繪科學(xué);2009年06期
10 何創(chuàng)新;李彥明;劉成良;;工程機械遠程狀態(tài)信息采集方法研究與應(yīng)用[J];儀器儀表學(xué)報;2009年04期
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