Selective Modal Analysis with Applications to Electric Power Systems, PART I: Heuristic Introduction

TLDR

Selective Modal Analysis (SMA) is a physically motivated framework that simplifies linear time‑invariant system models by isolating the dynamics of interest and collapsing the remainder, enabling efficient analysis of complex dynamic systems. The paper heuristically introduces SMA concepts and establishes the foundations for applying them to the analysis of power system dynamics. Illustrations include examples such as a 60‑machine model of a dynamic instability occurring in an actual power system.

Abstract

Selective Modal Analysis (or SMA) is a physically motivated framework for understanding, simplifying and analyzing complicated linear time-invariant models of dynamic systems, see [1,2]. SMA can accurately and efficiently focus on selected portions of the structure and behavior of the system. the part of the model that is relevant to the dynamics of interest is singled out in a direct manner, and. the remainder of the model is collapsed in a way that leaves the selected structure and behavior Intact. The paper heuristically presents basic concepts and results of SMA and lays the foundations for their application to a number of problems in analysis of power system dynamics. The approach is illustrated with several examples, including a 60-machine model of a dynamic instability occurrence in an actual power system. A companion paper [3] elaborates on specific applications of SMA to power systems, particularly to the Dynamic Stability problem.