An energy-based analysis of reduced-order models of (networked) synchronous machines. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Stegink, T. W.; De Persis, C.; Van Der Schaft, A. J.
• Is Part Of: Mathematical and computer modelling of dynamical systems. Volume 25:Issue 1(2019)
• Page Start: 1
• Page End: 39
• Publication Date: 2019-01-02
• Subjects: Power networks -- synchronous machines -- energy functions; Engineering -- Mathematical models -- Periodicals; Computer simulation -- Periodicals; 515.39
• DOI: 10.1080/13873954.2019.1566265
• Languages: English
• ISSNs: 1387-3954

Abstract

ABSTRACT: Stability of power networks is an increasingly important topic because of the high penetration of renewable distributed generation units. This requires the development of advanced techniques for the analysis and controller design of power networks. Although there are widely accepted reduced-order models to describe the power network dynamics, they are commonly presented without details about the reduction procedure. The present article aims to provide a modular model derivation of multi-machine power networks. Starting from first-principle fundamental physics, we present detailed dynamical models of synchronous machines and clearly state the underlying assumptions which lead to some of the standard reduced-order multi-machine models. In addition, the energy functions for these models are derived, which allows to represent the multi-machine systems as port-Hamiltonian systems. Moreover, the systems are proven to be shifted passive, which permits for a power-preserving interconnection with other passive components. Graphical Abstract: uf0001