Model Order Reduction of a Single Area Power System Using Direct Truncation with Mihailov Criteria Technique

In this paper, a single-area power system (SAPS) model is reduced to lower-order (LO) model. A mixed model order reduction (MOR) method is applied to obtain reduced order model (ROM). Direct truncation (DT) approach is applied for order reduction of numerator polynomial, where as, Mihailov criteria technique adopted to obtain reduced order denominator polynomial. The eleventh-order SAPS is taken into account as a numerical example to obtain second-order model. The validity of ROM is tested by plotting time and frequency responses, and comparing the time domain specifications. Also error indices including integral square error (ISE), integral absolute error (IAE), integral time absolute error (ITAE), and integral time squared error (ITSE) are utilized for performance comparison of the proposed model.

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Published
2024-12-18
DOI
https://doi.org/10.1109/pedes61459.2024.10961645
Citations
4
Primary Topic
Real-time simulation and control systems
Type
article
Field-Weighted Citation Impact
1.31
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article

Model Order Reduction of a Single Area Power System Using Direct Truncation with Mihailov Criteria Technique

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4 citations
Real-time simulation and control systems
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article

Model Order Reduction of a Single Area Power System Using Direct Truncation with Mihailov Criteria Technique

V. P. Singh, Umesh Kumar Sahu, P. D. Dewangan, Rahila Parveen, Salik Ram Dewangan
article en
4 citations

Abstract

In this paper, a single-area power system (SAPS) model is reduced to lower-order (LO) model. A mixed model order reduction (MOR) method is applied to obtain reduced order model (ROM). Direct truncation (DT) approach is applied for order reduction of numerator polynomial, where as, Mihailov criteria technique adopted to obtain reduced order denominator polynomial. The eleventh-order SAPS is taken into account as a numerical example to obtain second-order model. The validity of ROM is tested by plotting time and frequency responses, and comparing the time domain specifications. Also error indices including integral square error (ISE), integral absolute error (IAE), integral time absolute error (ITAE), and integral time squared error (ITSE) are utilized for performance comparison of the proposed model.

Manipal Academy of Higher Education (IN), National Institute of Technology Raipur (IN), Malaviya National Institute of Technology Jaipur (IN)
Climate action
Openalex Percentile: Top 18%
Real-time simulation and control systems
1.31
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