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30367

PI and PID Power system Controller: Eigenspectrum-Based Design and Sensitivities

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Last updated: 24 Dec 2024

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Abstract

A proposed design procedure for PI and PID type controllers is presented in the present paper utilizing eigenspectrum assignment as a design tool. As it is well known that the right eigenvector gives the mode shape, i.e. the relative activity of the state variables when a particular mode is excited, while the left eigenvector identifies the weights for the contribution of the activity to the mode. In the analysis and operation of power systems, one needs to assess the influence of some parameter variation that may be a source of oscillations and deteriorate the frequency and tie-line power regulation. This includes what might be considered "natural" modes of oscillations that are due to the inherent system characteristics as well as "forced" modes of oscillations that are driven by a particular system. A comprehensive treatment and evaluation for the sensitivities of eigenvalues and eigenvectors are presented.

DOI

10.21608/iceeng.2014.30367

Keywords

Eigenvalues assignment, Eigenvectors assignment, PI controller, PID controller, eigenvalues/eigenvectors sensitivities, Power system control

Authors

First Name

A.

Last Name

El-Kashlan

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Affiliation

Academy For Science, Technology & Maritime Transport.

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First Name

Shady

Last Name

El-Kashlan

MiddleName

A.

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Volume

9

Article Issue

9th International Conference on Electrical Engineering ICEENG 2014

Related Issue

5254

Issue Date

2014-05-01

Receive Date

2019-04-18

Publish Date

2014-05-01

Page Start

1

Page End

12

Print ISSN

2636-4433

Online ISSN

2636-4441

Link

https://iceeng.journals.ekb.eg/article_30367.html

Detail API

https://iceeng.journals.ekb.eg/service?article_code=30367

Order

13

Type

Original Article

Type Code

833

Publication Type

Journal

Publication Title

The International Conference on Electrical Engineering

Publication Link

https://iceeng.journals.ekb.eg/

MainTitle

PI and PID Power system Controller: Eigenspectrum-Based Design and Sensitivities

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Article

Created At

22 Jan 2023