A knowledge-based adaptive fuzzy controller for a two-area power system
Loading...
Date
2013
Authors
Journal Title
Journal ISSN
Volume Title
Type
Article
Publisher
Series Info
International Journal of Knowledge-Based and Intelligent Engineering Systems
17
17
Scientific Journal Rankings
Abstract
The present paper presents a novel methodology for designing an adaptive fuzzy controller for a dynamically interconnected electric power system. One controller with constant gains for different operating points may not be sufficient to guarantee satisfactory performance for Load frequency control. Therefore, the knowledge-based adaptive fuzzy controller is proposed ether to cope with the operating conditions or to remove any fixed mode. The adaptive fuzzy logic control utilizes the error and the change of error as fuzzy linguistic inputs to regulate the system performance. The proposed control scheme is applied to a two-area power system provided with both hydraulic and thermal turbines. � 2013-IOS Press and the authors. All rights reserved.
Description
Scopus
Keywords
October University for Modern Sciences and Arts, University for Modern Sciences and Arts, MSA University, جامعة أكتوبر للعلوم الحديثة والآداب, Fuzzy logic control "FLC", interconnected power system "IPS", load frequency control "LFC", Adaptive fuzzy controller, Adaptive fuzzy logic control, Fuzzy linguistics, Fuzzy logic control, Load-frequency control, Novel methodology, Operating condition, Two area power system, Electric control equipment, Electric frequency control, Hydraulic motors, Knowledge based systems, Press load control, Electric load management