电力系统的混沌运动分析及控制方法研究

发布时间：2018-01-10 23:06

  本文关键词：电力系统的混沌运动分析及控制方法研究　出处：《东北大学》2014年硕士论文　论文类型：学位论文

  更多相关文章： 电力系统 混沌检测 混沌运动 广义模糊双曲正切模型 H∞控制

【摘要】：作为非线性科学的一个重要研究方向,混沌理论的研究成果已经渗透到如电力、加密通信、医学科学等诸多领域,并有力地促进了这些学科的发展。在智能电网中,由于新能源并网发电系统在智能配电网中的大量接入,导致了一系列新的稳定性问题,这对系统的稳定性构成了严重的威胁。本文深入的研究了电力系统,尤其是智能配电网中的分岔与混沌现象,分析混沌产生的机理并设计控制器用以抑制系统中的混沌振荡。这为提高电能质量,增强电网稳定性提供理论依据。本文深入研究了电力系统中的分岔与混沌的分析方法。分析了多种经典的电力系统混沌模型,研究不同种类的分叉现象产生的条件,以及分岔与混沌之间的关系。综合分析了多种常用的混沌动力学行为研究方法,并将各种方法应用于实际模型中用以证明其有效性。针对实际工程中系统的精确模型不可知性,应用相空间重构的方法检测电力系统中的混沌运行状态。在时间序列已知的前提下,结合实例研究延迟时间以及嵌入维数的求取方法,应用C-C联合法实现一个复杂电力系统的相空间重构以及混沌运动检测,证明了该方法的有效性。分析智能配电网运行状态的变化过程及变化机理。对一个典型的智能配电网进行建模,将逆变器作为新能源与主网络之间的接口,采用动态负荷模型,讨论智能配电网运行状态随负荷无功功率变化所经历的从稳定走向分岔到发生混沌及超混沌最终导致电压崩溃的整个过程,找出不同运行状态之间的内在联系,并对各个状态下智能配电网的安全运行等级及应采取的措施加以讨论。建立智能配电网的GFHM并设计基于事件触发算法的H∞网络控制器。为了减少传输网络的负担,提高信息传输效率,提出一种崭新的事件触发算法,只有满足该算法条件约束的采样信号才会被释放到网络中。建立一个包含时滞的系统模型,并在此基础之上设计了一种事件触发Hoo网络控制器。给出了该控制器的H∞性能指标稳定性条件以及设计方法。用该方法对智能配电网GFHM进行控制,仿真结果表明这种控制器大幅降低了采样信号的释放率,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，

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