Main Page
About Us
Overview
Introduction
Historical Timeline
Vision and Mission
Departments and Degree Programs
KAU Engineering Research
Excellence
Dean's Award
ABET Accreditation
ISO Certificate
Deanships
Dean
Dean's Message
Former Deans
Vice Deans
Vice Dean
Vice Dean for Graduate
Vice Dean for Development
Vice Dean for Female Branch
Administration
Organization Chart
Faculty Administration Unit
Information Unit
Technical Support Unit
Facilities Unit
Admissions
KAU Admissions Requirements
KAU Engineering Admissions Requirements
KAU Engineering Graduate Studies
Student Services
Undergraduate Study & Examination Bylaw
Student Bylaw - Rights and Duties
Courses
Frequently questions
Departments
Alumni
Academic Support Units
Academic Affairs Unit (AAU)
Training Unit (TU)
Accreditation Support Unit (ASU)
Industrial and International Relations Unit (IIRU)
Facilities
Technical Support Unit
Diploma of Safety and Fire Protection
To Communicate
Contact Us
Find Us
Photo Album
عربي
English
About
Admission
Academic
Research and Innovations
University Life
E-Services
Search
Faculty of Engineering
Document Details
Document Type
:
Article In Journal
Document Title
:
Optimal Design of Discrete Output Feedback Control Using Genetic Algorithm for a Multi Area Power System
التصميم الأمثل لمتحكم ذي إشارة خرج راجعة باستخدام خوارزم الجيني لنظام القدرة المتعدد المناطق
Subject
:
Electrical and Computer Engineering
Document Language
:
English
Abstract
:
In this paper, a design of an optimal output feedback control for decentralized Load Frequency Controllers (LFC) of a multi-area interconnected power system using Genetic Algorithm (GA), is presented. The original system is decomposed into subsystems (areas). A Local Output Feedback Controller (LOFC) is designed for each subsystem and its relative optimal gain matrix is derived using GA. The proposed approach is implemented on a three-area interconnected power system and could be extended to more areas in different configurations (radial, ring). The system performance is analyzed by simulating different disturbances. Effectiveness is shown through a comparative study with the Conventional Integral Control (CIC) for different operating conditions and a wide-range variation in the system parameters with the presence of the turbine Generation Rate Constraints (GRC) nonlinearity.
ISSN
:
1319-1047
Journal Name
:
Engineering Sciences Journal
Volume
:
20
Issue Number
:
2
Publishing Year
:
1430 AH
2009 AD
Article Type
:
Article
Added Date
:
Tuesday, April 12, 2011
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
أحمد الخير بن سنوسي
Bensenouci, Ahmed ElKheir
Researcher
Doctorate
Bensenouci@ieee.org
Files
File Name
Type
Description
29621.pdf
pdf
Optimal Design of Discrete Output Feedback Control Using Genetic Algorithm for a Multi Area Power System
Back To Researches Page