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Kiran Kumar, Kalyana
- Analysis and Design of a Controller for an SMIB Power System via Time Domain Approach
Abstract Views :225 |
PDF Views:0
Authors
Akella Venkata Santosh Lakshmi
1,
Kalyana Kiran Kumar
1,
Bogapurapu Gayatri
1,
Vyakaranam Sai Kartek
1
Affiliations
1 Department of EEE, VITS College of Engineering, Sontyam, Anandapuram, Visakhapatnam - 531173 Andhra Pradesh, IN
1 Department of EEE, VITS College of Engineering, Sontyam, Anandapuram, Visakhapatnam - 531173 Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Background/Objectives: Designing a large interconnected system and to guarantee the system stability at a minimum cost is of very challenging task. From control theory point of view, a power system is a higher order multivariable process which operates constantly in a changing environment. Hence, it is necessary to perform the order reduction, for such a complex system. Methods/Statistical Analysis: In this paper order reduction techniques i.e. Modal Analysis Approach and Aggregation methods have been used to diminish the stable higher order system to a stable demoted order model. Findings: During approximation, the uniqueness of the original system are conserved in its demoted order model. Application/Improvements: The response of the demoted order model has been improved by designing a controller using pole placement technique.Keywords
Aggregation Method, SMIB Power System, Design of Controller, Modal Analysis Approach, Order Reduction.- Uncertain Systems Order Reduction by Modal Analysis Approach
Abstract Views :216 |
PDF Views:0
Authors
Affiliations
1 Department of EEE, VITS College of Engineering, Sontyam, Anandapuram, Visakhapatnam - 531173, Andhra Pradesh, IN
1 Department of EEE, VITS College of Engineering, Sontyam, Anandapuram, Visakhapatnam - 531173, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 38 (2016), Pagination:Abstract
Objectives: Modeling of physical systems results in complex higher-order representation. It’s somewhat strenuous to process out with these intricate systems, in such conditions these large scale systems are approximated by relegated order model. Methods/Statistical Analysis: A system with bounded parameters but uncertain and having constant coefficients is termed as an interval system. In this jotting Modal analysis approach, order reduction technique has been used to demote the higher order system to its relegated order. Numerical examples are solved to show the supremacy of this advanced technique. Findings: By using the proposed method, the step response of original and reduced order uncertain systems are closer when compared to other methods. The relative integral square error values are also less as compared to other techniques. Application/Improvements: The relegated model acquired by this approach has its behavior homogeneous to the original system. The stability is vowed if the original system is stable. In order to depiction a controller for a higher order system it is quite arduous, so by using the order demotion technique it becomes more facile.Keywords
Kharitonov’s Theorem, Modal Analysis Approach, Order Reduction and Stability Uncertain Systems.- Reduction of Lower Harmonics and Improve the Efficiency of a Wireless Charging System by using Quasi-z-source Converter
Abstract Views :136 |
PDF Views:0
Authors
Vyakaranam Sai Kartek
1,
Kalyana Kiran Kumar
1,
Akella Venkata Santosh Lakshmi
1,
Bhogapurapu Gayatri
1
Affiliations
1 Department of EEE, VITS College of Engineering, Sontyam, Anandapuram, Visakhapatnam - 531173, Andhra Pradesh, IN
1 Department of EEE, VITS College of Engineering, Sontyam, Anandapuram, Visakhapatnam - 531173, Andhra Pradesh, IN