Model Order Reduction of Two Area Hydropower System Using Mixed Method

2018 ◽  
pp. 21-30
Author(s):  
Sadaf Naqvi ◽  
Ibraheem Nasiruddin ◽  
Sana Ali ◽  
Shilpa Gupta
Keyword(s):  
Mixed Method ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Model Order ◽  
Hydropower System

scholarly journals A NOVEL MIXED METHOD FOR THE MODEL ORDER REDUCTION OF LINEAR SYSTEMS USING PARTICLE SWARM OPTIMIZATION AND POLYNOMIAL METHOD

2013 ◽  
pp. 75-77
Author(s):  
M. SUDHEER KUMAR ◽  
N. NAGENDRA ◽  
T. MADHUBABU
Keyword(s):  
Mixed Method ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Original System ◽  
Pso Algorithm ◽  
Order System ◽  
Polynomial Method ◽  
Model Order ◽  
Reduced Order ◽  
Lower Order System

In this paper, a novel mixed method is used for reducing the higher order system to lower order system. The denominator polynomials are obtained by the PSO Algorithm and the numerator coefficients are derived by the polynomial method. This method is simple and computer oriented. If the original system is stable then reduced order system is also stable. The proposed method is illustrated with the help of typical numerical examples considered from the literature.

A New Mixed Method for Relative Error Model Order Reduction

2006 ◽  
Author(s):  
Hamid Reza Shaker ◽  
Mojtaba Tabatabaeepour ◽  
Mahmoud Samavat ◽  
Ali Akbar Gharaveisi
Keyword(s):  
Relative Error ◽  
Mixed Method ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Error Model ◽  
Model Order

scholarly journals A Novel Mixed Method Using MM-SE with Change in Routhain Array for Model Order Reduction

2021 ◽  
Author(s):  
Aswant Kumar Sharma ◽  
Dhanesh Kumar Sambariya
Keyword(s):  
Mixed Method ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Step Response ◽  
System Modelling ◽  
Stability Equation ◽  
Model Order ◽  
Reduced Order ◽  
Response Characteristics ◽  
Higher Order Differential Equations

Abstract The system modelling leads towards the higher-order differential equations. These systems are difficult to analyse. Therefore, for ease and understanding, the conversion of higher to lower order is required. The model order reduction(MOR) is a systematic procedure to tackle these kinds of situations. This paper offers a mixed method for MOR using the modified moment matching (MM) and stability equation (SE). The modification is applied in the routhain array of MM. The approach has been verified by examining the error between the original, proposed and compared with reduced order available in the literature. The obtained result has been compared on the basis of step response characteristics and the response indices error.

scholarly journals Mixed Method for Model Order Reduction Using Meta Heuristic Harris Hawk and Routh Hurwitz Array Technique

2021 ◽  
Vol 14 (28) ◽  
pp. 2380-2390
Author(s):  
Aswant Kumar Sharma ◽  
◽  
Dhanesh Kumar Sambariya
Keyword(s):  
Mixed Method ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Model Order

THE NEW ALGORITHM OF SOLVING HARMONIC BALANCE EQUATIONS

2019 ◽  
Author(s):  
Vladimir Lantsov ◽  
A. Papulina
Keyword(s):  
Harmonic Balance ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Balance Equations ◽  
Model Order ◽  
Cad Systems ◽  
Computational Costs ◽  
Reduction Methods ◽  
Model Equations

The new algorithm of solving harmonic balance equations which used in electronic CAD systems is presented. The new algorithm is based on implementation to harmonic balance equations the ideas of model order reduction methods. This algorithm allows significantly reduce the size of memory for storing of model equations and reduce of computational costs.

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