Adaptive fuzzy gain scheduling for load frequency control

Talaq, Jawad; Albasri, Fadhel A.

doi:10.1109/59.744505

Cited by 311 publications

(105 citation statements)

References 12 publications

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“…The parameter of conventional I type controller optimized using genetic algorithm [23] , and optimum value of the integral gain setting of the controller is obtained as K i= 1.0601. Therefore, I controller is as follow: (10) It should be noted that because the parameters of first area and second area are the same, therefore, foregoing I type controller optimized by GA and shown in (11), was used for two area with the same structure. Therefore:…”

Section: Results and Discusionmentioning

confidence: 99%

“…The result reported in [4][5][6][7][8] demonstrates clearly the importance of robustness and stability issues in LFC design. In addition, several practical points have been addressed in [9][10][11][12][13][14] which include recent technology used by vertically integrated utilities, augmentation of filtered area control error with LFC schemes and hybrid LFC that encompasses an independent system operator and bilateral LFC. The applications of artificial neural networks, genetic algorithms, fuzzy logic and optimal control to LFC have been reported in [15][16][17] .…”

Section: Introductionmentioning

confidence: 99%

“…A well designed and operated power system should cope with changes in the load and with system disturbances, and it should provide acceptable high level of power quality while maintaining both voltage and frequency within tolerable limits [1][2][3][4][5] . Several strategies for Load Frequency Control of power systems have been proposed by researchers over the past decades [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17] . This extensive research is due to fact that LFC constitutes an important function on power system operation where the main objective is to regulate the output power of each generator at prescribed levels while keeping the frequency fluctuations within pre-defined limits.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Decentralized Load Frequency Control Using Multi Variable QFT Method in Deregulated Power Systems

Taher¹,

Hematti²

2008

American J. of Applied Sciences

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Abstract:The Load Frequency Control problem has been a major subject in electrical power system design/operation and is becoming more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple proportionalintegral controllers. However, since the PI control parameters are usually tuned based on classical or trial-and-error approaches, they are incapable of obtaining good dynamic performance for a wide range of operation conditions and various load changes scenarios in multi-area power system. For this problem, in this paper quantitative feedback theory method is used for LFC control in multi-area power system with system parametric uncertainties. The system parametric uncertainties are obtained by changing parameters by 40% simultaneously from their typical values. A two-area power system example with a wide range of parametric uncertainties is given to illustrate proposed method. To show effectiveness of proposed method, a classical I type controller optimized by genetic algorithm is designed for LFC for comparison with QFT. The validity of the proposed method was confirmed by comparing it results with those of traditional methods (I controller optimized by genetic algorithm) has been confirmed.

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Section: Results and Discusionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust Decentralized Load Frequency Control Using Multi Variable QFT Method in Deregulated Power Systems

Taher¹,

Hematti²

2008

American J. of Applied Sciences

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“…The difficulty in obtaining the optimum settling time of previously said controller is mitigated by using FLC [7][8][9] , which gives the opportunity to describe the control action in qualitative term and symbolic form. The proposed control can also be coordinated with conventional integral control for greater efficiency.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Rule Based Load Frequency Control in a Parallel AC – DC Interconnected Power Systems Through Hvdc Link

Ramesh¹,

Krishnan²

2010

IJCA

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ABSTRACT:In this paper, a fuzzy logic controller is proposed for an application of HVDC link to stabilize the frequency oscillation in a parallel AC -DC interconnected power systems. When an interconnected AC power system is subjected to a load disturbance, system frequency may be considerably disturbed and The proposed control technique is studied for a two area non -reheat thermal power systems. From simulation results, the performance of the FLC is better during load disturbances.

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“…(iv) The optimal control is also dependent on the weighing matrices and is not unique (Nanda and Kaul 1978;Indulkar and Raj 1995;Ha 1998;Chown and Hartman 1998;Talaq and Fadel 1999;Mathur and Ghosh 2006).…”

Section: Introductionmentioning

confidence: 99%

Frequency stabilization using fuzzy logic based controller for multi-area power system

Mathur¹,

Manjunath²

2007

S. Pac. J. Nat. App. Sci.

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Adaptive fuzzy gain scheduling for load frequency control

Cited by 311 publications

References 12 publications

Robust Decentralized Load Frequency Control Using Multi Variable QFT Method in Deregulated Power Systems

Robust Decentralized Load Frequency Control Using Multi Variable QFT Method in Deregulated Power Systems

Fuzzy Rule Based Load Frequency Control in a Parallel AC – DC Interconnected Power Systems Through Hvdc Link

Frequency stabilization using fuzzy logic based controller for multi-area power system

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