Definitions and Applications of Dynamic Average Models for Analysis of Power Systems

TLDR

Modeling and analysis of power and power‑electronic systems' transients using digital programs enables testing new design concepts in modern electric grids and many industrial and commercial products and applications. The paper overviews dynamic average‑value modeling techniques for representing static switching converters in system‑level studies, discussing concepts and desirable properties for large‑signal transient and small‑signal frequency‑domain control design. The authors review and summarize basic approaches for developing average models for dc/dc and dc/ac converters. The desirable properties of the average‑value models are demonstrated through an example system.

Abstract

Modeling and analysis of power and power-electronic systems' transients using digital programs enables testing new design concepts in modern electric grid and many industrial and commercial products and applications. This paper gives an overview of dynamic average-value modeling techniques for representing static switching converters for the system-level studies. Concepts and desirable properties of averaged models for conducting large-signal time-domain transient studies and small-signal frequency-domain analysis for control design tasks are discussed. Basic approaches for developing average models for dc/dc and dc/ac converters are briefly reviewed and summarized. Finally, the desirable properties of the average-value models are demonstrated through an example system.