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Spectral discretization-based eigen-analysis of time-delay systems = numerical methods and scalable applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Spectral discretization-based eigen-analysis of time-delay systems/ by Hua Ye, Yutian Liu, Xiaofan Jia.
其他題名:	numerical methods and scalable applications /
作者:	Ye, Hua.
其他作者:	Liu, Yutian.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	xvi, 171 p. :ill., digital ;24 cm.
內容註:	Introduction -- Small Signal Stability Analysis of Time Delay Systems -- PSD Based Eigenvalue Computation Framework for Large Scale Time Delay Systems -- PIGD PS Method -- PSOD PS Method -- Applications to Power Systems with Inclusion of Wide Area Delays.
Contained By:	Springer Nature eBook
標題:	Time delay systems - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-981-96-0738-9
ISBN:	9789819607389

Spectral discretization-based eigen-analysis of time-delay systems = numerical methods and scalable applications /
Ye, Hua.

Spectral discretization-based eigen-analysis of time-delay systemsnumerical methods and scalable applications /[electronic resource] :by Hua Ye, Yutian Liu, Xiaofan Jia. - Singapore :Springer Nature Singapore :2025. - xvi, 171 p. :ill., digital ;24 cm.

Introduction -- Small Signal Stability Analysis of Time Delay Systems -- PSD Based Eigenvalue Computation Framework for Large Scale Time Delay Systems -- PIGD PS Method -- PSOD PS Method -- Applications to Power Systems with Inclusion of Wide Area Delays.

This book focuses on the partial spectral discretization (PSD)-based eigenvalue computation methods for large-scale time-delay systems. Due to past-dependence in the evolution of a system, time delays may greatly affect the system's dynamics. For example, wide-area damping controllers in the interconnected power systems are fed by remote synchrophasor measurements and thus inevitably introduce time delays into the control loop. These delays ranging from tens to hundreds of milliseconds can deteriorate the performance of the controllers and further jeopardize the power system stability. Therefore, this book addresses two classes of efficient eigenvalue computation methods for time-delay systems based on the PSD idea, as well as their applications to power systems with inclusion of time delays. The methods are expected to obtain the accurate stability boundary of time-delay systems with affordable computational burden. This book would appeal to engineers, researchers and graduate students in power and control engineering, as well as computational and applied mathematicians.

ISBN: 9789819607389

Standard No.: 10.1007/978-981-96-0738-9doiSubjects--Topical Terms:

3790141
Time delay systems
--Mathematical models.

LC Class. No.: TJ223.T5

Dewey Class. No.: 629.83

Spectral discretization-based eigen-analysis of time-delay systems = numerical methods and scalable applications /
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505 0 $a Introduction -- Small Signal Stability Analysis of Time Delay Systems -- PSD Based Eigenvalue Computation Framework for Large Scale Time Delay Systems -- PIGD PS Method -- PSOD PS Method -- Applications to Power Systems with Inclusion of Wide Area Delays.
520 $a This book focuses on the partial spectral discretization (PSD)-based eigenvalue computation methods for large-scale time-delay systems. Due to past-dependence in the evolution of a system, time delays may greatly affect the system's dynamics. For example, wide-area damping controllers in the interconnected power systems are fed by remote synchrophasor measurements and thus inevitably introduce time delays into the control loop. These delays ranging from tens to hundreds of milliseconds can deteriorate the performance of the controllers and further jeopardize the power system stability. Therefore, this book addresses two classes of efficient eigenvalue computation methods for time-delay systems based on the PSD idea, as well as their applications to power systems with inclusion of time delays. The methods are expected to obtain the accurate stability boundary of time-delay systems with affordable computational burden. This book would appeal to engineers, researchers and graduate students in power and control engineering, as well as computational and applied mathematicians.
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