Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary Perspective

Inter-area Oscillations in Power Systems: A Nonlinear and Nonstationary Perspective
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发表时间:
2009-03
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通讯作者:
A. R. Messina
A. R. Messina
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其他
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作者:
A. R. Messina

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这本书涉及基于时频系统表示和统计方法的新技术的应用,以研究、表征和控制电力系统中的非线性和非平稳区域间振荡。主要研究与临界系统摄动有关的非线性、时变广域振荡问题。给出了显式处理和处理非线性的技术,并讨论了从测量数据和仿真数据生成时变系统近似的有效方法。文中介绍了这些方法的理论基础、应用特点和性能。讨论的分析技术包括参数方法,如Prony分析、基于Yule-Walker的方法、最小二乘方法、小波和基于傅立叶的方法,以及非参数方法,如周期图平均和希尔伯特-黄变换,以及高阶统计方法。重点是复杂时变行为的建模和控制,这在以前的工作中是没有出现的。通过对合成和真实测试系统的案例研究,作者解释了如何将对时间、非线性行为的理解融入到复杂控制系统的分析和设计过程中。例如,北美、澳大利亚、印度和墨西哥的电力系统的计算机模拟和实际系统测量。特别关注了实时动态安全评估的重要新思想,以及具有嵌入式灵活交流输电系统(FACTS)的系统的时空行为评估。讨论了这些方法在基于时间序列分析方法的智能广域监测、保护控制系统中的应用前景。
This book deals with the application of new techniques based on time-frequency system representations and statistical approaches to the study, characterization, and control of nonlinear and non-stationary inter-area oscillations in power systems. The main focus is on the study of nonlinear, time-varying wide-area oscillatory problems associated with critical system perturbations. Techniques that explicitly address and treat nonlinearity are given and efficient methods to generate time-varying system approximations from both measured and simulated data are discussed. The theoretical basis for these methods is described as well as application properties and performance. Analysis techniques discussed include parametric methods such as Prony analysis, Yule-Walker based methods, Least-Squares methods, Wavelets and Fourier-based methods, and non-parametric methods such as Periodogram averaging and the Hilbert-Huang transform, as well as higher order statistical approaches. Emphasis is placed on the modeling and control of complex time-varying behavior which has not been present in previous work. Through case studies of synthetic and real-life test systems, the authors explain how an understanding of temporal, nonlinear behavior can be incorporated in the analysis and design process of complex control systems. Examples include computer simulations and actual system measurements from power systems in North America, Australia, India and Mexico. Particular attention is given to the vital new ideas of dynamic security assessment in real-time implementations and the evaluation of spatio-temporal behavior in systems with embedded f Flexible ac Transmission Systems (FACTS). Future applications of these methodologies focusing on the implementation of smart wide-area monitoring, protection control systems based on methods of analysis of time series are also discussed.