發(fā)布時間：2018-01-29 11:04

  本文關(guān)鍵詞： 電力系統(tǒng) 混沌振蕩 滑模變結(jié)構(gòu)控制 模糊控制　出處：《河北聯(lián)合大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：混沌理論在非線性系統(tǒng)研究中已經(jīng)占據(jù)了重要地位，在諸多領(lǐng)域都可以發(fā)現(xiàn)其卓越的研究成果和實用價值。就目前而言，電力系統(tǒng)如何能夠安全穩(wěn)定運行，已經(jīng)成為人們越來越關(guān)注的話題，當(dāng)電力系統(tǒng)產(chǎn)生混沌振蕩現(xiàn)象的時候，就會對系統(tǒng)的穩(wěn)定運行產(chǎn)生一定影響，甚至?xí)�給整個互聯(lián)電力系統(tǒng)帶來巨大的損失。由于電力系統(tǒng)顯著的非線性特征，它會在一定條件下產(chǎn)生無規(guī)則的混沌振蕩。為了克服混沌振蕩對系統(tǒng)造成的破壞，保證系統(tǒng)正常高速的平穩(wěn)運行，所以需要進行深入的分析并找出切合實際的控制方法。 通過對混沌現(xiàn)象及其發(fā)展歷程的介紹，就目前混沌的研究現(xiàn)狀加以分析和解釋說明，指出研究的目的和意義，概述研究內(nèi)容及技術(shù)路線。對混沌的本質(zhì)定義和基本特性進行了分析，并對混沌分類及判定規(guī)律做了進一步說明，著重介紹了當(dāng)前應(yīng)用最為廣泛的幾種混沌控制方法。針對幾種典型的電力系統(tǒng)混沌模型進行分析研究，根據(jù)不同數(shù)學(xué)模型的不同性質(zhì)判斷其發(fā)生混沌的條件，，并研究通向混沌的路徑。介紹了滑模變結(jié)構(gòu)控制與模糊控制的相關(guān)理論和抖振問題，選取二階互聯(lián)電力系統(tǒng)的數(shù)學(xué)模型為研究對象，采用滑模變結(jié)構(gòu)控制方法，由于傳統(tǒng)滑模變結(jié)構(gòu)控制的基本特性，所以該方法存在高頻抖振的缺點，在控制過程中加入模糊控制規(guī)則，設(shè)計模糊滑模變結(jié)構(gòu)控制器，進行理論數(shù)值分析并通過MATLAB仿真平臺實現(xiàn)。仿真結(jié)果表明，模糊滑模變結(jié)構(gòu)控制器既抑制了電力系統(tǒng)的混沌振蕩，又對高頻抖振起到了很好的消除作用，驗證了設(shè)計的優(yōu)越性。
[Abstract]:Chaos theory has played an important role in the study of nonlinear systems, and its outstanding research results and practical value can be found in many fields. At present, how can power systems operate safely and stably. People have become more and more concerned about the topic, when the power system chaotic oscillation phenomenon, it will have a certain impact on the stable operation of the system. It will even bring huge losses to the whole interconnected power system, due to the remarkable nonlinear characteristics of the power system. In order to overcome the damage caused by chaotic oscillation and ensure the system running smoothly and at high speed, it can produce irregular chaotic oscillation under certain conditions. Therefore, it is necessary to carry out in-depth analysis and find out practical control methods. Through the introduction of chaos phenomenon and its development course, the present research situation of chaos is analyzed and explained, and the purpose and significance of the study are pointed out. The essential definition and basic characteristics of chaos are analyzed, and the classification and judging law of chaos are further explained. The most widely used chaos control methods are introduced in this paper. Several typical chaotic models of power system are analyzed and studied. According to the different properties of different mathematical models, the conditions of chaos are judged. The related theories and buffeting problems of sliding mode variable structure control and fuzzy control are introduced. The mathematical model of second order interconnected power system is chosen as the research object and the sliding mode variable structure control method is adopted. Because of the basic characteristics of the traditional sliding mode variable structure control, this method has the shortcoming of high frequency buffeting. Fuzzy control rules are added to the control process and fuzzy sliding mode variable structure controller is designed. The simulation results show that the fuzzy sliding mode variable structure controller can suppress the chaotic oscillation of power system. It also plays a good role in eliminating the high frequency buffeting and validates the superiority of the design.
【學(xué)位授予單位】：河北聯(lián)合大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM712

【參考文獻(xiàn)】

相關(guān)期刊論文 前7條

1 楊正瓴,林孔元;用時間序列來判斷電力系統(tǒng)中的混沌現(xiàn)象[J];電力系統(tǒng)自動化;2000年10期

2 牛東曉,邢棉,陳志業(yè);雙自由度電力傳輸線系統(tǒng)的混沌振蕩分析[J];華北電力大學(xué)學(xué)報;1999年02期

3 張偉年,張衛(wèi)東;一個非線性電力系統(tǒng)的混沌振蕩[J];應(yīng)用數(shù)學(xué)和力學(xué);1999年10期

4 宋永華,熊正美,曾慶禹;電力系統(tǒng)在參數(shù)擾動下的渾沌行為[J];中國電機工程學(xué)報;1990年S1期

5 賈宏杰,余貽鑫,李鵬;電力系統(tǒng)環(huán)面分岔與混沌現(xiàn)象[J];中國電機工程學(xué)報;2002年08期

6 韋篤取;張波;;Controlling chaos in permanent magnet synchronous motor based on finite-time stability theory[J];Chinese Physics B;2009年04期

7 吳佳妮;邱立存;;混沌電力系統(tǒng)的模糊滑�？刂芠J];中國科技信息;2013年10期

相關(guān)碩士學(xué)位論文 前2條

1 張紅;非線性系統(tǒng)的滑模變結(jié)構(gòu)控制理論研究[D];大慶石油學(xué)院;2008年

2 王少夫;電力系統(tǒng)混沌振蕩分析及其自適應(yīng)控制[D];南昌大學(xué);2012年

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