Name: Internal Model Controller for Load Frequency Control by Model Order Reduction Method (en Inglés)
SKU: 59487131
Price: 751.93 MXN
Availability: InStock
Author: Patwa, Manendra
ISBN: 9783346752246

portada Internal Model Controller for Load Frequency Control by Model Order Reduction Method (en Inglés)

Internal Model Controller for Load Frequency Control by Model Order Reduction Method (en Inglés)

Formato

Libro Físico

Autor

Manendra Patwa

Editorial

Grin Verlag

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

21x14.8x0.3 cm

Peso

0.07 kg.

ISBN13

9783346752246

Categorías

Ingeniería eléctrica

Internal Model Controller for Load Frequency Control by Model Order Reduction Method (en Inglés)

Manendra Patwa (Autor) · Grin Verlag · Tapa Blanda

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Reseña del libro "Internal Model Controller for Load Frequency Control by Model Order Reduction Method (en Inglés)"

Master's Thesis from the year 2022 in the subject Electrotechnology, grade: 9.0, course: M.Tech, language: English, abstract: In the power system, the load frequency is the major problem in one of those problems occur during the unstable load. In the electrical-power industries, there is an extreme necessity for the efficacious and effectual Load Frequency Control approaches to minimize growing monotonic complex large-scale power systems and their resilience in the face of parameter uncertainty, mismatch of plant model, and external load variation. So to minimize the problem of load frequency there is a scheme "A two- degree-of-freedom (TDF)-internal model controller (IMC)" for the single region model is designed where the 2nd order reduced-model has been used as a TDF-IMC scheme internal/predictive model. Determining the suitable value of tuning parameter is very much complicated and challenging for TDF-IMC controller design in conventional type two-degree freedom (TDF) - IMC, but now numerous algorithms are proposed by the researchers for optimization. In this thesis, the modeling and analysis of by reduction method of TDF-IMC is given using MATLAB programming and simulation and comparative study is noted between routh and pade approximation.