Power system frequency fluctuations which usually result from continuous change in the load on a power system can have adverse effect on both consumer and industrial loads, this is because the speed of the prime mover reduces when load is increased and the fuel intake is kept constant also when the fuel intake increases and the load is maintained, the speed increases. The speed of the prime mover is responsible for the frequency of the system. In an attempt to solve this mismatch, several researchers developed various methods such as the fuzzy logic controller, artificial neural network and genetic algorithm tuned controller. In this work, a PI controller whose parameters were optimized using the artificial bee colony algorithm was used in load frequency control of the Nigerian interconnected power system. The frequency deviation was restored to a tolerable range (± 0.5 Hz) within 5 seconds and the area control error was stabilized to within 0.1p.u when a disturbance of 10 % was introduced to the system.
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