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Journal ArticleDOI

Analysis of dynamic stability of power system by a new eigenvalue method

Naoyuki Uchida
- 01 Jul 1980 - 
- Vol. 100, Iss: 4, pp 19-27
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TLDR
A new method is proposed which transforms the eigenvalue with the smallest real part (poorest attenuation component) to the Eigenvalue of largest absolute value of a new matrix, the S-method.
Abstract
Conventional methods for dynamic stability analysis such as the eigenvalue method (QR method), frequency response method, direct numerical integration method, etc., are not applicable to very large-scale systems because of limitations of memory capacity, computing time, and computation accuracy. To analyze a larger power system, it is necessary to take advantage of sparsity and regularity of matrices and to derive eigenvalues more efficiently (that is, with smaller memory capacity and shorter computing time). In this paper, we propose a new method which transforms the eigenvalue with the smallest real part (poorest attenuation component) to the eigenvalue of largest absolute value of a new matrix. We call the new matrix, Stability matrix (S-matrix) and call the proposed method, the S-method. The theoretical background of the S-method is presented and the effectiveness of the S-method is shown.

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Citations
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Journal ArticleDOI

A new eigen-analysis method of steady-state stability studies for large power systems: S matrix method

TL;DR: In this paper, an advanced version of the S matrix method, an eigenvalue technique for the analysis of the steady-state stability (or the stability against small signals) of large power systems is discussed.
Journal ArticleDOI

Eigenvalue analysis of very large power systems

TL;DR: In this article, a method of analyzing the small signal stability of very large power systems is described based on a frequency-domain approach which concentrates on the electromechanical modes of the power system under study.
Journal ArticleDOI

An explanation and generalization of the AESOPS and PEALS algorithms (power system models)

TL;DR: In this paper, the AESOPS and PEALS algorithms are explained in terms of relatively standard eigenvalue analysis and related to a true Newton iterative scheme, where the true Newton scheme requires an additional (or simultaneous) elimination at each iteration but can give a reduction in the number of iterations.
Journal ArticleDOI

A software tool for coordination of controllers in power systems

TL;DR: In this paper, a software tool for offline coordination of power system controllers in either a high frequency (5-55 Hz) or a low-frequency (0.2-2.0 Hz) range is presented.
Journal ArticleDOI

A practical method for simplifying the dynamic stability analysis of interconnected power systems

TL;DR: In this paper, a decomposition of large interconnected power systems is described, based upon a scheme which directly exploits the system structure. But the method is not suitable for large-scale systems and it requires a considerable amount of storage space and computation time.
References
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Journal ArticleDOI

Dynamic Stability Calculations for an Arbitrary Number of Interconnected Synchronous Machines

TL;DR: In this paper, the authors describe the small signal performance of a multi-machine synchronous power system by a set of differential equations of the form [x] = [A] [x], allowing standard multivariable control theory to be used in dynamic stability studies.
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