Load Frequency Control in Power Systems Using Improved Particle Swarm Optimization Algorithm
محورهای موضوعی : journal of Artificial Intelligence in Electrical Engineering
Milad Babakhani Qazijahan
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کلید واژه: Load frequency control, proportional integral control, improved particle swarm optimization algorithm,
چکیده مقاله :
The purpose of load frequency control is to reduce transient oscillation frequencies than its nominal valueand achieve zero steady-state error for it.A common technique used in real applications is to use theproportional integral controller (PI). But this controller has a longer settling time and a lot of Extramutation in output response of system so it required that the parameters be adjusted as appropriate . In thispaper, we aim to design a system based on PI controllers using improved particle swarm optimizationalgorithm for load frequency control .Multi-population approach and local search to improve theoptimization algorithms is used and displayed. That this approach will lead to accelerating the achievementof results, preventing entrapment in a local minimum, and get better system output compared with similarmethods.
