EconPapers    
Economics at your fingertips  
 

LQR and Fuzzy Logic Control for the Three-Area Power System

Anna Sibilska-Mroziewicz, Andrzej Ordys, Jakub Możaryn, Pooyan Alinaghi Hosseinabadi, Ali Soltani Sharif Abadi and Hemanshu Pota
Additional contact information
Anna Sibilska-Mroziewicz: Faculty of Mechatronics, Warsaw University of Technology, ul. Św. Andrzeja Boboli 8, 02-525 Warsaw, Poland
Andrzej Ordys: Faculty of Mechatronics, Warsaw University of Technology, ul. Św. Andrzeja Boboli 8, 02-525 Warsaw, Poland
Jakub Możaryn: Faculty of Mechatronics, Warsaw University of Technology, ul. Św. Andrzeja Boboli 8, 02-525 Warsaw, Poland
Pooyan Alinaghi Hosseinabadi: School of Engineering and Information Technology, University of New South Wales, Canberra 2612, Australia
Ali Soltani Sharif Abadi: Faculty of Mechatronics, Warsaw University of Technology, ul. Św. Andrzeja Boboli 8, 02-525 Warsaw, Poland
Hemanshu Pota: School of Engineering and Information Technology, University of New South Wales, Canberra 2612, Australia

Energies, 2021, vol. 14, issue 24, 1-22

Abstract: The three-area power system is widely considered a suitable example to test load frequency control of the distributed generation system. In this article, for such a system, for the power stabilization task, we introduce two controllers: Linear Quadratic Regulator (LQR), which is model-based, and Fuzzy Logic Controller (FLC), which is data-based. The purpose is to compare the two approaches from the point of view of (i) ease of implementation and tuning, and (ii) robustness to changes in the model. The model, together with controls strategies, has been implemented in the MATLAB software. Then, it has been tested for different simulation scenarios, taking into account the disturbances and faulty tie-lines between areas. Various quality measures allow to compare the performance of each control strategy. The comparison in terms of parameter change and load disturbances prompt us to propose suitable metrics and advice notes on the application of each controller.

Keywords: adaptive generation control; load frequency control; linear quadratic regulator; fuzzy logic (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/24/8522/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/24/8522/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:24:p:8522-:d:704826

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8522-:d:704826