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https://hdl.handle.net/2142/21302
Description
Title
High speed dynamic simulation of power systems
Author(s)
Kulkarni, Ajit Yashavant
Issue Date
1996
Doctoral Committee Chair(s)
Pai, M.A.
Department of Study
Electrical and Computer Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
One of the Dynamic Security Assessment (DSA) tools that electric utilities use is transient stability software. In the changing utility industry, these tools will be relied on even more in the future, as transmission systems become more stressed. A problem with time domain transient stability simulations is that they often require large amounts of computer resources. Much research has and is being done in an attempt to reduce the computational time required by these simulations. This thesis considers two approaches to this problem. The first approach is to use a predictor-corrector integration scheme to simulate the power system. In this approach, the classical model of a generator, with linear load models, is considered.
In the second approach, methods from the Krylov subspace family of methods are considered, within the framework of the Simultaneous Implicit (SI) approach. Thus, the latter are used, with the trapezoidal integration scheme and the Newton-Raphson method, to simulate detailed power system models. The two-axis model for generators, with an IEEE type I excitation system and nonlinear load models, is used. The Krylov subspace family of methods generally performs well on vector and parallel computers, as well as on sequential machines. Only limited success was achieved with the traditional application of these methods. However, good results were obtained by designing and using the dishonest preconditioner (DP), a preconditioning strategy designed for the transient stability problem. The DP has parameters that can be used to tune it for the specific power system being simulated. Although it was not considered in this work, the framework of the DP could allow the simultaneous use of more than one linear solver technique.
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