Paper Information

Journal:   JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING   JUNE 2014 , Volume 3 , Number 9; Page(s) 18 To 26.
 
Paper: 

LOAD FREQUENCY CONTROL IN POWER SYSTEMS USING IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM

 
 
Author(s):  BABAKHANI QAZIJAHAN MILAD*
 
* DEPARTMENT OF ELECTRICAL ENGINEERING, AHAR BRANCH, ISLAMIC AZAD UNIVERSITY, AHAR, IRAN
 
Abstract: 

The purpose of load frequency control is to reduce transient oscillation frequencies than its nominal value and achieve zero steady-state error for it. A common technique used in real applications is to use the proportional integral controller (PI). But this controller has a longer settling time and a lot of Extra mutation in output response of system so it required that the parameters be adjusted as appropriate. In this paper, we aim to design a system based on PI controllers using improved particle swarm optimization algorithm for load frequency control. Multi-population approach and local search to improve the optimization algorithms is used and displayed. That this approach will lead to accelerating the achievement of results, preventing entrapment in a local minimum, and get better system output compared with similar methods.

 
Keyword(s): LOAD FREQUENCY CONTROL, PROPORTIONAL INTEGRAL CONTROL, IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHM
 
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