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Tikrit Journal of Engineering Sciences (2018) 25(1) 78- 86

Load Frequency Control for Two-area Multi-Source Interconnected Power System using Intelligent Controllers

Arkan Ahmed Hussein
Electrical Engineering Department, Tikrit University, Iraq

Abstract

This paper presents the study of intelligent controllers for Two-area multi-source interconnected power system model. The controller gains are optimized using Conventional method, GA and BAT algorithms and investigation is carried out for the best optimization method on the basis of dynamic performance and stability of the power system model. The power system model under investigation two area each area consists of thermal, hydro and Double Fed Induction Generator (DFIG) based wind unit with different participation factor in the total generation for their respective area. It has been observed that an appreciable improvement in the system dynamic performance is achieved using Bat algorithms for load frequency controller for multisource power system model as compared with conventional method and GA algorithm.

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Keywords: Load frequency control, bat algorithm, DFIG wind turbine, genetic algorithm, multi-source interconnected power system.

How to cite

TJES: Hussein AA. Load frequency control for two-area multi-source interconnected power system using intelligent controllers. Tikrit Journal of Engineering Sciences 2018; 25 (1): 78-86.
APA: Hussein, A. A. (2018). Load frequency control for two-area multi-source interconnected power system using intelligent controllers. Tikrit Journal of Engineering Sciences, 25(1), 78-86.