Masters Theses

Title

Indirect adaptive neurocontrol of a unified power flow controller

Abstract

"This thesis presents the design of neurocontrollers (NCs) for the series and shunt branches control of the UPFC and the power system in a single machine infinite bus power system setup. The design of series and shunt continually online trained (COT) NCs are based on the indirect adaptive control scheme replacing the existing PI controllers in the series and the shunt branches of a UPFC. In addition, two other neural networks called neuroidentifiers (NIs) are designed to identify the hybrid conmplex nonlinear dynamics of the UPFC and the power system."--Abstract, page iii.

Department(s)

Electrical and Computer Engineering

Degree Name

M.S. in Electrical Engineering

Publisher

University of Missouri--Rolla

Publication Date

Fall 2003

Pagination

xxi, 177 leaves

Note about bibliography

Includes bibliographical references (leaves 75-77).

Rights

© 2003 Radha Padma Kalyani, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Neural networks (Computer science)
Flexible AC transmission systems

Thesis Number

T 8403

Print OCLC #

55222966

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

http://laurel.lso.missouri.edu/record=b5088753~S5

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