Load Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm

journal of Artificial Intelligence in Electrical Engineering

مقاله 3، دوره 3، شماره 9، شهریور 2014، صفحه 18-26   

نویسنده

Milad Babakhani Qazijahan

چکیده

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.

کلیدواژه‌ها

Load frequency control؛ proportional integral control؛ improved particle swarm optimization algorithm