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Load Frequency Control of Multi - area Hybrid Power System by Artificial Intelligence Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 138 - Number 7 |
| Year of Publication: 2016 |
| Authors: Kassim A. Al-Anbarri, Abbas H. Miri, Sarah Abbas Hussain |
10.5120/ijca2016908963
|
Kassim A. Al-Anbarri, Abbas H. Miri, Sarah Abbas Hussain . Load Frequency Control of Multi - area Hybrid Power System by Artificial Intelligence Techniques. International Journal of Computer Applications. 138, 7 ( March 2016), 38-48. DOI=10.5120/ijca2016908963
Abstract
This paper presents the application of different Artificial intelligence techniques on the tuning of PID controller in a load frequency control system. The algorithms of PSO technique, Genetic algorithm technique, and Artificial Bee Colony technique has been applied on four area power system with six tie lines. The system dynamic model is formulated in state variables form. A comparison between these techniques with different performance indices is presented. The effect of including different types of generating units (i.e. a hybrid power system) on the dynamical performance of a load frequency control is also presented. Three types of control criterion are adopted. Simulation of the applied artificial techniques on a typical hybrid power system has been carried out. It is observed that a hybrid power system can track the load fluctuation quickly.
References
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