Multimachine electromechanical response: comparison between DigSilent and Matlab-based linearised behaviour

Benato, Roberto; Crocamo, Nunzia; Giannuzzi, Giorgio Maria; Sanniti, Francesco; Zaottini, Roberto

doi:10.23919/aeit50178.2020.9241202

Cited by 2 publications

(2 citation statements)

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“…This paper is an enlarged, enriched, and detailed version of [1]. The paper presents the research and education experiences gained, in many years, at the Department of Industrial Engineering of the University of Padova about the electromechanical transients of multimachine systems.…”

Section: Introductionmentioning

confidence: 99%

“…Some parts of the algorithm have been already presented by R.B. in [1,[14][15], but in this paper it is completely generalized and enriched also with a comparison between the angular frequency deviations obtained by the present linearized algorithm and the dynamic simulation obtained by the commercial software PF. This comparison is not performed to necessarily show the agreement between the two methods -which are based on two different mathematical models-but to draw conclusions by means of the results of two methods.…”

Section: Introductionmentioning

confidence: 99%

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An Original Educational Algorithm Assessing the Behaviours of Angular Frequency Deviations of a Multimachine System in Small Signal Analysis

et al. 2021

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The paper presents a fully self-implementable algorithm that has demonstrated to be an effective tool for power education at the University of Padova-Department of Industrial Engineering. It deals with the small signal analysis of the electromechanical transients of a multimachine system. The algorithm allows analytically building both the state matrix and the input matrix. Moreover, by exploiting the matrix exponential, the angular frequency deviations of synchronous generators can be computed and plotted so to help students to evaluate transient stability. Besides the full exposition of the algorithm, the paper presents a comparison between a self-implemented linearized dynamic in Matlab environment and the dynamic simulation obtained by the commercial software DIgSILENT PowerFactory.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%