Comparative Study of Model Order Reduction Techniques


Authors : Manoj Lavanshi; Dr. D. K. Sambariya

Volume/Issue : Volume 8 - 2023, Issue 5 - May

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://shorturl.at/aoxHM

DOI : https://doi.org/10.5281/zenodo.7985375

The higher order system consumes more space because to higher order matrix. The higher order interconnected power systems stability analysis is time consuming and large system performance of the system cannot be understanding easily. The analysis of the higher system is drudging and inordinate. The analysis and control of such system presents a great challenge for system engineer. The lower order system drives a comfort exploratory and optimization which results in favorable similarity to the system. This paper's objectives are to examine the reduced order model of large scale LTI system using balanced truncation method. In this technique the reduction of nominator and denominator polynomial using balanced truncation (BT) method, which results more accurate result. This approach preserves the original system's stability and steady state value in the lower order model.

Keywords : Reduction Techniques, Stability Equation Method (SEM), Differentiation Equation Method (DEM), Balanced Truncation Method, Reduced Model.

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