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Large Power Systems (large + power_system)

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Engineering100%

Selected Abstracts

A design for robust power system stabilizer by means of H, control and particle swarm optimization method

ELECTRONICS & COMMUNICATIONS IN JAPAN, Issue 8 2008
Yoshifumi Zoka
Abstract This paper proposes two types of PSS design methods that take into account robustness for comparably large power systems. The first one is a design method based on , control theory and the second one is a parameter determination method for a standard PSS by using Particle Swarm Optimization (PSO). In order to deal with large-scale systems, a reduced model is developed to get the target system which preserves major oscillation modes only. The major oscillation modes are selected by using the residue concept, and the PSS is designed based on the target system. In order to verify effectiveness, the proposed methods are compared with the other previously proposed method based on a Genetic Algorithm (GA) through many numerical simulations. © 2008 Wiley Periodicals, Inc. Electron Comm Jpn, 91(8): 34,43, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecj.10132 [source]

Non-linear approaches for reducing large power systems

EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, Issue 3 2001
X. Lei
Issues on the establishment of equivalent networks are becoming essential for the deregulated power market. This paper presents a comprehensive tool for network reduction of large power systems. Through integrating different methodologies into a simulation program, the dynamic equivalent can be established by adopting one common database. With a readily integrated modified Gauss-Newton algorithm, network reduction can be executed under the dynamic conditions either in the time domain or in the frequency domain in coping with nonlinear nature of the system involved. Furthermore, a novel algorithm based on dynamic coherency approach implemented readily into the simulation program is also presented. This novel approach determines coherent generators on non-linear basis in the time domain using the cross correlation technique, taking dynamic characteristics of the system involved into consideration. Two case studies are presented in this paper. Each of the non-linear approaches presented is applied for one of the case studies as application example. The results achieved validate the functionality of the approaches presented. [source]

Computation of power systems eigenvalues using the modified nodal approach

EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, Issue 1 2000
B. R. Oswald
This paper presents a new method of forming state-space equations of large power systems which allows to calculate their eigenvalues. The method does not require any topological tools. It is based on the extended modified nodal approach, which was presented at the IPST '97 in Seattle. The extended modified nodal approach generates a set of algebraic and state-space equations using Kirchhoff's nodal law exclusively. Eliminating the algebraic part of these equations results in the desired state-space equations in an explicit form. [source]