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Appl. Sci. 2017, 7(3), 308; doi:10.3390/app7030308

Use of the Genetic Algorithm-Based Fuzzy Logic Controller for Load-Frequency Control in a Two Area Interconnected Power System

1
Department of Electrical and Electronics Engineering, Kirikkale University, Kirikkale 71450, Turkey
2
Department of Electrical and Energy, Cankiri Karatekin University, Cankiri 18100, Turkey
3
Department of Electrical and Electronics Engineering, Manisa Celal Bayar University, Manisa 45140, Turkey
*
Author to whom correspondence should be addressed.
Academic Editors: José L. Bernal-Agustín and Rodolfo Dufo-López
Received: 27 February 2017 / Revised: 14 March 2017 / Accepted: 16 March 2017 / Published: 22 March 2017
(This article belongs to the Special Issue Distribution Power Systems)

Abstract

The use of renewable energy resources has created some problems for power systems. One of the most important of these is load frequency control (LFC). In this study, in order to solve the LFC problem, modern control methods were applied to a two area multi source interconnected power system. A photovoltaic solar power plant (PV-SPP) was also connected, in order to identify the harmful effects on the frequency of the system. A new Genetic-based Fuzzy Logic (GA-FL) controller was designed to control the frequency of the system. For comparison, conventional proportional-integral-derivative (PID), fuzzy logic (FL), and Genetic Algorithm (GA)-PID controllers were also designed. The new control method exhibited a better performance than the conventional and other modern control methods, because of the low overshoot and short settling time. All simulations were realized with the Matlab-Simulink program. View Full-Text
Keywords: genetic algorithm; fuzzy logic controller; load frequency control genetic algorithm; fuzzy logic controller; load frequency control
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cam, E.; Gorel, G.; Mamur, H. Use of the Genetic Algorithm-Based Fuzzy Logic Controller for Load-Frequency Control in a Two Area Interconnected Power System. Appl. Sci. 2017, 7, 308.

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