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

被引：33

作者：

Cam, Ertugrul ^{[1
]}

Gorel, Goksu ^{[2
]}

Mamur, Hayati ^{[3
]}

机构：

[1] Kirikkale Univ, Dept Elect & Elect Engn, TR-71450 Kirikkale, Turkey

[2] Cankiri Karatekin Univ, Dept Elect & Energy, TR-18100 Cankiri, Turkey

[3] Manisa Celal Bayar Univ, Dept Elect & Elect Engn, TR-45140 Manisa, Turkey

来源：

APPLIED SCIENCES-BASEL | 2017年 / 7卷 / 03期

关键词：

genetic algorithm; fuzzy logic controller; load frequency control; DESIGN; OPTIMIZATION; PLANTS; MODEL;

D O I：

10.3390/app7030308

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

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.

引用

页数：22

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