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Paper Title
COMPARATIVE STUDY BETWEEN REDUCED ORDER MODEL BASED ROBUST POWER SYSTEM STABILZERS
Authors
RUCHI SHARMA, Y C SHARMA, KOTA SOLOMON RAJU
Keywords
Fast output sampling feedback, power system stabilizer, reduced order model, particle swarm optimization, Davison method.
Abstract
In multi-machine power system the order of the states matrix is very large. The main objectives of order reduction is to design a controller of lower order which can effectively control the original high order system so that the overall system is of lower order and easy to understand. The state space matrices of the reduced order system are chosen such that the dominant eigenvalues of the full order system are unchanged. The other system parameters are chosen using the PSO with objective function to minimize the mean squared errors between the outputs of the full order system and the outputs of the reduced order model when the inputs are unit step. This paper presents a comparatively study of design of fast output sampling feedback controllers via reduced order model using Particle PSO method, and Davison method technique for multi-machine system.
IJCRT's Publication Details
Unique Identification Number - IJCRT1803035
Paper ID - 181725
Page Number(s) - 965-976
Pubished in - Volume 6 | Issue 1 | March 2018
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
RUCHI SHARMA, Y C SHARMA, KOTA SOLOMON RAJU, "COMPARATIVE STUDY BETWEEN REDUCED ORDER MODEL BASED ROBUST POWER SYSTEM STABILZERS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.965-976, March 2018, Available at :http://www.ijcrt.org/papers/IJCRT1803035.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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