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

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 photo...

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Bibliographic Details
Published in:Applied sciences 2017, Vol.7 (3), p.308
Main Authors: Cam, Ertugrul, Gorel, Goksu, Mamur, Hayati
Format: Article
Language:English
Subjects:
Computer simulation
Control methods
Control systems design
Controllers
Electric utilities
Energy resources
Energy sources
Frequency control
Fuzzy logic
Fuzzy systems
Genetic algorithms
Photovoltaics
Power plants
Solar power
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app7030308