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

Research output: Contribution to journalConference articlepeer-review

5 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 languageEnglish
Pages (from-to)457-463
Number of pages7
JournalEnergy Procedia
Volume14
DOIs
Publication statusPublished - 2012
Event2011 2nd International Conference on Advances in Energy Engineering, ICAEE 2011 - Bangkok, Thailand
Duration: 27 Dec 201128 Dec 2011

Keywords

  • Automatic generation control
  • GA-Fuzzy control system
  • Rule based systems

ASJC Scopus subject areas

  • General Energy

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