Title :
Optimal PID tuning for load frequency control using lévy-flight firefly algorithm
Author :
Shakarami, M.R. ; Faraji, Iraj ; Asghari, Iraj ; Akbari, Mohammad
Author_Institution :
Electr. Eng. Dept., Lorestan Univ., Lorestan, Iran
Abstract :
Nature-inspired algorithms are among the most powerful algorithms for optimization. In this paper, a load frequency control (LFC) in two-area power systems using the lévy-flight firefly optimization algorithm (LFOA) is presented. The system simulation is realized by using MatLab/Simulink. The proposed LFOA-based PID controller has been compared with the firefly optimization algorithm (FOA)-based and particle swarm optimization (PSO) algorithm-based PID controllers. Simulations and results indicate that the proposed LFOA is superior to other ones for the LFC in two-area power systems.
Keywords :
frequency control; load regulation; particle swarm optimisation; power system control; three-term control; LFOA-based PID controller; MatLab-Simulink; PSO algorithm-based PID controllers; firefly optimization algorithm; levy-flight firefly optimization algorithm; load frequency control; nature-inspired algorithms; optimal PID tuning; particle swarm optimization; two-area power systems; Frequency control; Lead; Software packages; Firefly optimization algorithm; lévy-flight firefly optimization algorithm; load frequency control; particle swarm optimization; two-area power system;
Conference_Titel :
Electric Power and Energy Conversion Systems (EPECS), 2013 3rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4799-0687-1
DOI :
10.1109/EPECS.2013.6713008