Interarea Mode Analysis for Large Power Systems using Synchrophasor Data
2013 (English)In: Power System Coherency and Model Reduction / [ed] Joe H. Chow, New York: Springer, 2013, 259-295 p.Chapter in book (Other academic)
Interarea oscillations are predominantly governed by the slower electromechanical modes which, in turn, are determined by the coherent machine rotor angles and speeds. The issue is that, although these rotor angles and speeds provide the best visibility of such modes, currently they are not available from phasor measurement units (PMU). As such, the aim of this chapter is to demonstrate that interarea oscillations are observable in the network variables, such as voltages and line currents, which are measured by PMU. By analyzing the electromechanical modes in the network variables, we can trace how electromechanical oscillations are spread through the power network following a disturbance. Applying eigenvalue and sensi- tivity analysis, we provide an analytical framework to understand the nature of these network oscillations through a relationship termed network modeshapes. Using this relationship, a novel concept, “dominant interarea oscillation paths,” is developed to identify the passageways where the interarea modes of concern travel the most. We demonstrate the concept of the dominant path with an equivalent two-area sys- tem. We propose an algorithm for identification of the dominant paths and illustrate with a reduced model of a large-scale network. Finally, we end this chapter with an important application of the concept: feedback input signal selection for damping controller design.
Place, publisher, year, edition, pages
New York: Springer, 2013. 259-295 p.
, Power Electronics and Power Systems, ISSN 2196-3185 ; 94
Coherency in power systems, External system reduction, Interarea modes, Interarea oscillations, Krylov subspace method, Large power systems, Machine aggregation, Perturbation techniques, Selective modal analysis, PMU, synchrophasors, smart grid
Engineering and Technology Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject SRA - Energy
IdentifiersURN: urn:nbn:se:kth:diva-121189DOI: 10.1007/978-1-4614-1803-0_10ISBN: 978-1-4614-1802-3ISBN: 978-1-4614-1803-0OAI: oai:DiVA.org:kth-121189DiVA: diva2:617374
FunderStandUp, 76106StandUp, 76174StandUp, 76157
QC 201311042013-04-232013-04-232013-11-04Bibliographically approved