Study of load frequency control using fuzzy theory by combined cycle power plant

Yukita, Kazuto; Goto, Yukio; Mizuno, Kohichi; Miyafuji, T.; Ichiyanagi, Katsuhiro; Mizutani, Yoshibumi

doi:10.1109/pesw.2000.850001

Cited by 16 publications

(8 citation statements)

References 10 publications

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“…Hence, an intelligent fuzzy controller is proposed in this paper to control the voltage and frequency for different load conditions. The conventional controllers are replaced with FLC and their response is compared for large load variations (Soundarrajan et al, 2003;Yukita et al, 2000;Khodabakshian and Golbon, 2005;Mathur and Manjunath 2007).…”

Section: Design Of Intelligent Controllersmentioning

confidence: 99%

“…The simulation results of the fuzzy controller are compared with different intelligent controllers in the literature (Yukita et al, 2000;Karnavas and Papadopoulos, 2002;Barjeev and Srivastava, 2003;Nanda and Mangla, 2004;Juang and Lu, 2005;Mitra et al, 2008;Panda et al, 2009;Sambariya et al, 2009). The frequency and terminal voltage response of a proposed fuzzy controller yields better performance characteristics with reduced settling time, oscillations and peak overshoot.…”

Section: Comparative Analysismentioning

confidence: 99%

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Fuzzy-based intelligent controller for power generating systems

Soundarrajan

Sumathi

2010

Journal of Vibration and Control

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In this paper an intelligent fuzzy logic controller is proposed to control the frequency and voltage of a power generating system. The load frequency control (LFC) and automatic voltage regulator (AVR) are installed in each generator to control the real and reactive power flows. Due to rising and falling power demand, the real and reactive power balance is harmed and hence frequency and voltage get deviated from nominal value. This necessitates the need for an intelligent fuzzy controller to generate and deliver power in an interconnected system as economically and reliably as possible while maintaining the voltage and frequency within permissible limits. The conventional PID controllers employed for this task will have zero steady-state error but lead to large deviations in frequency and voltage under varying load conditions. The proposed method overcomes the drawbacks of a conventional fixed gain controller and improvement is achieved in terms of settling time, oscillations and overshoot. The single and two area LFC and AVR are modeled in MATLAB using the transfer function of the system. Fuzzy rules and membership functions are tuned based on the knowledge of experts and from previous experience about the plant behavior. The models are simulated for different load conditions and regulations in order to demonstrate the effectiveness of the proposed controller. Simulation results emphasise the improved performance in comparison with fixed gain controllers.

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Section: Design Of Intelligent Controllersmentioning

confidence: 99%

Section: Comparative Analysismentioning

confidence: 99%

Fuzzy-based intelligent controller for power generating systems

Soundarrajan

Sumathi

2010

Journal of Vibration and Control

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“…Fuzzy logic based decentralized LFC is widely applied in [9][10][11][12]. Specifically, a fuzzy logic controller, developed directly from a fuzzy model of the power system, is proposed in [9].…”

Section: Introductionmentioning

confidence: 99%

“…A fuzzy logic based tie-line bias control scheme on a two-area multiple-unit power system is introduced in [10]. The comparisons between fuzzy logic and conventional PID control techniques are presented for a combined cycle power plant in [11]. In the Iraqi National Super Grid power system, a fuzzy gain-scheduled Proportional Integral (PI) controller and its execution is implemented in [12].…”

Section: Introductionmentioning

confidence: 99%

Improved Load Frequency Control Using a Fast Acting Active Disturbance Rejection Controller

Rahman

Chowdhury

2017

Energies

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System frequency may change from defined values while transmitting power from one area to another in an interconnected power system due to various reasons such as load changes and faults. This frequency change causes a frequency error in the system. However, the system frequency should always be maintained close to the nominal value even in the presence of model uncertainties and physical constraints. This paper proposes an Active Disturbance Rejection Controller (ADRC)-based load frequency control (LFC) of an interconnected power system. The controller incorporates effects of generator inertia and generator electrical proximity to the point of disturbances. The proposed controller reduces the magnitude error of the area control error (ACE) of an interconnected power system compared to the standard controller. The simulation results verify the effectiveness of proposed ADRC in the application of LFC of an interconnected power system.

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“…Partic ularly, compared to other complex advanced controllers [15][16][17][18][19][20][21], the ADRC only has two tuning parameters, making it simple to im plement in practice. So far the ADRC has been successfully em ployed in MEMS, power converter, and web tension [22][23][24][25][26]. In this paper, it is the first time that the ADRC is modified and ap plied to the power system with three different turbine units.…”

Section: Introductionmentioning

confidence: 99%