On the application of bezier surfaces for GA-Fuzzy controller design for use in automatic generation control

Craig D. Boesack; Tshilidzi Marwala; Fulufhelo V. Nelwamondo

doi:10.1016/j.egypro.2011.12.1037

On the application of bezier surfaces for GA-Fuzzy controller design for use in automatic generation control

Craig D. Boesack, Tshilidzi Marwala, Fulufhelo V. Nelwamondo

Faculty of Engineering and the Built Environment

Research output: Contribution to journal › Conference article › peer-review

7 Citations (Scopus)

Abstract

Automatic Generation Control (AGC) of large interconnected power systems are typically controlled by a PI or PID type control law. Recently intelligent control techniques such as GA-Fuzzy controllers have been widely applied within the power industry. This work presents a comparative study of conventional AGC control with that of a GAFuzzy controller. In particular this work focuses on the application of Bezier Surfaces in encoding the genetic problem for the Rule Base (RB) representing the fuzzy control surface. It is shown that favorable performance is obtained in the presence of power plant nonlinearities and Generation Rate Constraint (GRC).

Original language	English
Pages (from-to)	457-463
Number of pages	7
Journal	Energy Procedia
Volume	14
DOIs	https://doi.org/10.1016/j.egypro.2011.12.1037
Publication status	Published - 2012
Event	2011 2nd International Conference on Advances in Energy Engineering, ICAEE 2011 - Bangkok, Thailand Duration: 27 Dec 2011 → 28 Dec 2011

Keywords

Automatic generation control
GA-Fuzzy control system
Rule based systems

ASJC Scopus subject areas

General Energy

Access to Document

10.1016/j.egypro.2011.12.1037

Cite this

@article{6c67490536124d9f9c0da5b7d2e4600e,

title = "On the application of bezier surfaces for GA-Fuzzy controller design for use in automatic generation control",

abstract = "Automatic Generation Control (AGC) of large interconnected power systems are typically controlled by a PI or PID type control law. Recently intelligent control techniques such as GA-Fuzzy controllers have been widely applied within the power industry. This work presents a comparative study of conventional AGC control with that of a GAFuzzy controller. In particular this work focuses on the application of Bezier Surfaces in encoding the genetic problem for the Rule Base (RB) representing the fuzzy control surface. It is shown that favorable performance is obtained in the presence of power plant nonlinearities and Generation Rate Constraint (GRC).",

keywords = "Automatic generation control, GA-Fuzzy control system, Rule based systems",

author = "Boesack, {Craig D.} and Tshilidzi Marwala and Nelwamondo, {Fulufhelo V.}",

year = "2012",

doi = "10.1016/j.egypro.2011.12.1037",

language = "English",

volume = "14",

pages = "457--463",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier Ltd.",

note = "2011 2nd International Conference on Advances in Energy Engineering, ICAEE 2011 ; Conference date: 27-12-2011 Through 28-12-2011",

}

TY - JOUR

T1 - On the application of bezier surfaces for GA-Fuzzy controller design for use in automatic generation control

AU - Boesack, Craig D.

AU - Marwala, Tshilidzi

AU - Nelwamondo, Fulufhelo V.

PY - 2012

Y1 - 2012

N2 - Automatic Generation Control (AGC) of large interconnected power systems are typically controlled by a PI or PID type control law. Recently intelligent control techniques such as GA-Fuzzy controllers have been widely applied within the power industry. This work presents a comparative study of conventional AGC control with that of a GAFuzzy controller. In particular this work focuses on the application of Bezier Surfaces in encoding the genetic problem for the Rule Base (RB) representing the fuzzy control surface. It is shown that favorable performance is obtained in the presence of power plant nonlinearities and Generation Rate Constraint (GRC).

AB - Automatic Generation Control (AGC) of large interconnected power systems are typically controlled by a PI or PID type control law. Recently intelligent control techniques such as GA-Fuzzy controllers have been widely applied within the power industry. This work presents a comparative study of conventional AGC control with that of a GAFuzzy controller. In particular this work focuses on the application of Bezier Surfaces in encoding the genetic problem for the Rule Base (RB) representing the fuzzy control surface. It is shown that favorable performance is obtained in the presence of power plant nonlinearities and Generation Rate Constraint (GRC).

KW - Automatic generation control

KW - GA-Fuzzy control system

KW - Rule based systems

UR - http://www.scopus.com/inward/record.url?scp=84858396218&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2011.12.1037

DO - 10.1016/j.egypro.2011.12.1037

M3 - Conference article

AN - SCOPUS:84858396218

SN - 1876-6102

VL - 14

SP - 457

EP - 463

JO - Energy Procedia

JF - Energy Procedia

T2 - 2011 2nd International Conference on Advances in Energy Engineering, ICAEE 2011

Y2 - 27 December 2011 through 28 December 2011

ER -

On the application of bezier surfaces for GA-Fuzzy controller design for use in automatic generation control

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this