Two different power control system load-frequency analysis using fuzzy logic controller

Zenk, H; Zenk, Osman; Akpınar, Adem

doi:10.1109/inista.2011.5946146

Cited by 5 publications

(4 citation statements)

References 4 publications

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“…Rotational speed of the motor shaft, the position change over time, sewage, equation 9is expressed. Mechanical and electrical components of the motor equations, equations (10) and (11) are expressed. Many mathematical method using equations (10) and (11) can be solved [5].…”

Section: Permanent Magnet DC Motormentioning

confidence: 99%

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Dynamic Performance Comparison of Cúk Converter with DC Motor Driving and Using PI, PID, Fuzzy Logic Types Controllers

Zenk¹,

Akpınar²

2014

ujeee

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DC-DC converters are widely used in electrical machinery driver circuits. Classic controllers and fuzzy logic controllers, DC converters operating range setting switches provide control of electrical machines drives. In this study, which is one of the Cúk converter DC converters MATLAB / Simulink model was prepared, at the output of a DC Motor Dynamic Model, Proportional Integral, Proportional Integral Derivative and Fuzzy Logic Controllers to be controlled by a speed and a reference was provided and compared with the performances of these controllers.

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Section: Permanent Magnet DC Motormentioning

confidence: 99%

“…Then, fuzzy rules, fuzzy values are processed "Rule processing and decision-making" phase, and finally, "defuzzification" step, the exact result is converted to fuzzy. Fuzzy logic control system is shown in Figure 11 [11][12].…”

Section: Fuzzy Logic Control Typementioning

confidence: 99%

Dynamic Performance Comparison of Cúk Converter with DC Motor Driving and Using PI, PID, Fuzzy Logic Types Controllers

Zenk¹,

Akpınar²

2014

ujeee

Self Cite

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“…Recently, Different artificial intelligence-based methods have been proposed in the literature. Fuzzy control methods [10][11][12], bacterial foragingbased optimization technique [13], and neural networks [3,14,15] are applied to AGC problem.…”

Section: Introductionmentioning

confidence: 99%

Automatic Generation Control of Multi-area Interconnected Power Systems Using ANN Controller

Alzaareer¹,

Al-Shetwi²,

El-bayeh³

et al. 2020

RIA

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Load as well as power flow in tie-line are continuously varying in interconnection power systems. This paper presents an efficient method based on artificial intelligence control for automatic generation control (AGC) of a three-area power network. The control method implements Artificial Neural Network (ANN) to damp the frequency deviation and the fluctuation in the tie line power caused by load disturbances. The performance of the proposed controller is compared with classical control methods (PI and PID). The results showed that ANN-based control method is more efficient than others approaches. In this paper, MATLAB/SIMULINK package is used to investigate the results.

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“…The most important of these effects comes from changes in the system bus frequency and mains voltage amplitudes. Power transmission systems are of high quality and seamless frequency and voltage values for the study of oscillations caused by load changes should extinguish quickly [1][2]. …”

mentioning

confidence: 99%

The Eight Zones Power Systems Load-frequency Stability Using Different Type Controllers

Zenk¹,

Zenk²

2017

dteees

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Abstract. In this study, the realization of load and frequency control of a eight-area power system via Proportional Integral (PI), Proportional Integral Derivative (PID) and Fuzzy Logic Controllers(FLC) has been focused on. Loads connected to power systems, how the changes affect the frequency of the system, sought answers to the questions what can happen in the size of the oscillations. In addition, the rate at which the oscillations can be reduced with the use of fuzzy logic controller is studied. Five region power control system has been examinated. These regions of MATLAB / Simulink digital library are modeled in detail in the design stages of the complete system control with fuzzy logic controller is made which will be described. The results obtained using FLC, proportional-integral (PI) and proportional integral derivative controller for the performance analysis results were compared with the designed FLC. IntroductionElectrical energy is provided by different type of energy sources. The existence of the energy sources of energy production centers in different regions of transmission networks has revealed the need to connect to each other. Interconnected power transmission network that feeds into a balance of different production region is required to work simultaneously. Because load changes fastly and failures that occurred in a region severely affected in other regions. The most important of these effects comes from changes in the system bus frequency and mains voltage amplitudes. Power transmission systems are of high quality and seamless frequency and voltage values for the study of oscillations caused by load changes should extinguish quickly [1][2].

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Two different power control system load-frequency analysis using fuzzy logic controller

Cited by 5 publications

References 4 publications

Dynamic Performance Comparison of Cúk Converter with DC Motor Driving and Using PI, PID, Fuzzy Logic Types Controllers

Dynamic Performance Comparison of Cúk Converter with DC Motor Driving and Using PI, PID, Fuzzy Logic Types Controllers

Automatic Generation Control of Multi-area Interconnected Power Systems Using ANN Controller

The Eight Zones Power Systems Load-frequency Stability Using Different Type Controllers

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