本文關(guān)鍵詞：電力系統(tǒng)的混沌運動分析及控制方法研究　出處：《東北大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 電力系統(tǒng) 混沌檢測 混沌運動 廣義模糊雙曲正切模型 H∞控制

【摘要】：作為非線性科學(xué)的一個重要研究方向,混沌理論的研究成果已經(jīng)滲透到如電力、加密通信、醫(yī)學(xué)科學(xué)等諸多領(lǐng)域,并有力地促進了這些學(xué)科的發(fā)展。在智能電網(wǎng)中,由于新能源并網(wǎng)發(fā)電系統(tǒng)在智能配電網(wǎng)中的大量接入,導(dǎo)致了一系列新的穩(wěn)定性問題,這對系統(tǒng)的穩(wěn)定性構(gòu)成了嚴重的威脅。本文深入的研究了電力系統(tǒng),尤其是智能配電網(wǎng)中的分岔與混沌現(xiàn)象,分析混沌產(chǎn)生的機理并設(shè)計控制器用以抑制系統(tǒng)中的混沌振蕩。這為提高電能質(zhì)量,增強電網(wǎng)穩(wěn)定性提供理論依據(jù)。本文深入研究了電力系統(tǒng)中的分岔與混沌的分析方法。分析了多種經(jīng)典的電力系統(tǒng)混沌模型,研究不同種類的分叉現(xiàn)象產(chǎn)生的條件,以及分岔與混沌之間的關(guān)系。綜合分析了多種常用的混沌動力學(xué)行為研究方法,并將各種方法應(yīng)用于實際模型中用以證明其有效性。針對實際工程中系統(tǒng)的精確模型不可知性,應(yīng)用相空間重構(gòu)的方法檢測電力系統(tǒng)中的混沌運行狀態(tài)。在時間序列已知的前提下,結(jié)合實例研究延遲時間以及嵌入維數(shù)的求取方法,應(yīng)用C-C聯(lián)合法實現(xiàn)一個復(fù)雜電力系統(tǒng)的相空間重構(gòu)以及混沌運動檢測,證明了該方法的有效性。分析智能配電網(wǎng)運行狀態(tài)的變化過程及變化機理。對一個典型的智能配電網(wǎng)進行建模,將逆變器作為新能源與主網(wǎng)絡(luò)之間的接口,采用動態(tài)負荷模型,討論智能配電網(wǎng)運行狀態(tài)隨負荷無功功率變化所經(jīng)歷的從穩(wěn)定走向分岔到發(fā)生混沌及超混沌最終導(dǎo)致電壓崩潰的整個過程,找出不同運行狀態(tài)之間的內(nèi)在聯(lián)系,并對各個狀態(tài)下智能配電網(wǎng)的安全運行等級及應(yīng)采取的措施加以討論。建立智能配電網(wǎng)的GFHM并設(shè)計基于事件觸發(fā)算法的H∞網(wǎng)絡(luò)控制器。為了減少傳輸網(wǎng)絡(luò)的負擔(dān),提高信息傳輸效率,提出一種嶄新的事件觸發(fā)算法,只有滿足該算法條件約束的采樣信號才會被釋放到網(wǎng)絡(luò)中。建立一個包含時滯的系統(tǒng)模型,并在此基礎(chǔ)之上設(shè)計了一種事件觸發(fā)Hoo網(wǎng)絡(luò)控制器。給出了該控制器的H∞性能指標穩(wěn)定性條件以及設(shè)計方法。用該方法對智能配電網(wǎng)GFHM進行控制,仿真結(jié)果表明這種控制器大幅降低了采樣信號的釋放率,并取得了很好的控制效果。
[Abstract]:As an important research direction of nonlinear science, the research results of chaos theory have penetrated into many fields such as electric power, encrypted communication, medical science and so on. And has promoted the development of these disciplines. In the smart grid, due to a large number of new energy grid power generation system in the smart distribution network, resulting in a series of new stability problems. This is a serious threat to the stability of the system. In this paper, the bifurcation and chaos in the power system, especially in the smart distribution network, are deeply studied. The mechanism of chaos generation is analyzed and the controller is designed to suppress the chaotic oscillation in the system, which can improve the power quality. In this paper, the methods of analyzing bifurcation and chaos in power system are deeply studied, and several classical chaotic models of power system are analyzed. The conditions under which different bifurcation phenomena occur and the relationship between bifurcation and chaos are studied, and a variety of commonly used chaotic dynamics research methods are analyzed synthetically. Various methods are applied to the practical model to prove its validity. The phase space reconstruction method is applied to detect the chaotic state in power system. On the premise of known time series, the method of calculating delay time and embedding dimension is studied with an example. The phase space reconstruction and chaotic motion detection of a complex power system are realized by C-C combined method. It is proved that this method is effective. The changing process and mechanism of the operation state of smart distribution network are analyzed. A typical intelligent distribution network is modeled and the inverter is regarded as the interface between the new energy source and the main network. The dynamic load model is used to discuss the whole process from stable direction bifurcation to chaos and hyperchaos resulting in voltage collapse when the operation state of smart distribution network changes with the load reactive power. Find out the internal relationship between different running states. The security operation level of smart distribution network and the measures to be taken are discussed. The GFHM of smart distribution network and H 鈭，

本文編號：1407137