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

Çam, Ertuğrul; GÖREL, Göksu; Mamur, Hayati

doi:10.3390/app7030308

Cited by 39 publications

(18 citation statements)

References 30 publications

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“…5. These values are necessary for FLC-PI, which sets the PI controller [26], [29]- [31]. Fuzzy logic rules for FLC-PI controller are shown in Table I.…”

Section: Controllersmentioning

confidence: 99%

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Effects on Load-Frequency Control of a Solar Power System with a Two-Area Interconnected Thermal Power Plant and its Control with a New BFA Algorithm

Civelek¹,

GÖREL²,

Lüy³

et al. 2018

ElAEE

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A control operation is the most important part of stabilization between load and frequency in a power system. The demand power change and the generated power change can disrupt the load-frequency balance. For this reason, the system frequency value should be controlled by some methods. In this study, a load frequency control was performed in a twoarea power system. The renewable solar energy system and the interconnected power system were connected. In order to control the load-frequency balance, the classical PI, PID, Fuzzy Logic Controller (FLC) based PI and Bacterial Foraging Algorithm (BFA) based PI controller were separately designed and implemented to control the frequency value. All the trials were simulated and confirmed by the MATLAB/Simulink program. According to the results obtained from the control methods, the BFA-PI method provided better overshoots and BFA-PI had better settling times than the others.

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“…5. These values are necessary for FLC-PI, which sets the PI controller [26], [29]- [31]. Fuzzy logic rules for FLC-PI controller are shown in Table I.…”

Section: Controllersmentioning

confidence: 99%

“…Parameters of the Two-Area power system in the solar power system were taken from the literature [26].…”

mentioning

confidence: 99%

Effects on Load-Frequency Control of a Solar Power System with a Two-Area Interconnected Thermal Power Plant and its Control with a New BFA Algorithm

Civelek¹,

GÖREL²,

Lüy³

et al. 2018

ElAEE

Self Cite

View full text Add to dashboard Cite

show abstract

“…By genetic operations such as reproduction, crossover and mutation [33], it simulates the mechanism of survival competitions, the superior results survive while the inferior results are eliminated. GA has been applied to many kinds of optimization issues in engineering, due to its simple and effective implementation procedure [34,35]. In order to unload torque in transmission with less oscillation in drivetrain, root mean square (RMS) of motor speed, torsional angle and rotary speed of drive shaft are introduced to constitute the fitness function, as their unit and magnitude are different, so that the above three indexes are normalized to be the fitness function f , the optimization objectives can be expressed as Equation (23) …”

Section: Off-line Optimization With Real-coded Genetic Algorithmmentioning

confidence: 99%

Off-Line Optimization Based Active Control of Torsional Oscillation for Electric Vehicle Drivetrain

et al. 2017

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Abstract:As there is no clutch or hydraulic torque converter in electric vehicles to buffer and absorb torsional vibrations. Oscillation will occur in electric vehicle drivetrains when drivers tip in/out or are shifting. In order to improve vehicle response to transients, reduce vehicle jerk and reduce wear of drivetrain parts, torque step changes should be avoided. This article mainly focuses on drivetrain oscillations caused by torque interruption for shifting in a Motor-Transmission Integrated System. It takes advantage of the motor responsiveness, an optimal active control method is presented to reduce oscillations by adjusting motor torque output dynamically. A rear-wheel-drive electric vehicle with a two gear automated manual transmission is considered to set up dynamic differential equations based on Newton's law of motion. By linearization of the affine system, a joint genetic algorithm and linear quadratic regulator method is applied to calculate the real optimal motor torque. In order to improve immediacy of the control system, time consuming optimization process of parameters is completed off-line. The active control system is tested in AMEsim ® and limitation of motor external characteristics are considered. The results demonstrate that, compared with the open-loop system, the proposed algorithm can reduce motion oscillation to a satisfied extent when unloading torque for shifting.

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“…The AGC performance is highly dependent on how those generating units respond to the commands. The generation unit response characteristics is mainly affected by the control strategy that the unit utilizes, like robust control methods [23,24], intelligent algorithms [25,26] and optimization approaches [27,28]. This part can be solved by integrating appropriate and efficient controller in the wind turbine structure, which is demonstrated in this study.…”

Section: Introductionmentioning

confidence: 96%

On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

et al. 2018

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Wind farms can contribute to ancillary services to the power system, by advancing and adopting new control techniques in existing, and also in new, wind turbine generator systems. One of the most important aspects of ancillary service related to wind farms is frequency regulation, which is partitioned into inertial response, primary control, and supplementary control or automatic generation control (AGC). The contribution of wind farms for the first two is well addressed in literature; however, the AGC and its associated controls require more attention. In this paper, in the first step, the contribution of wind farms in supplementary/load frequency control of AGC is overviewed. As second step, a fractional order proportional-integral-differential (FOPID) controller is proposed to control the governor speed of wind turbine to contribute to the AGC. The performance of FOPID controller is compared with classic proportional-integral-differential (PID) controller, to demonstrate the efficacy of the proposed control method in the frequency regulation of a two-area power system. Furthermore, the effect of penetration level of wind farms on the load frequency control is analyzed.

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

Cited by 39 publications

References 30 publications

Effects on Load-Frequency Control of a Solar Power System with a Two-Area Interconnected Thermal Power Plant and its Control with a New BFA Algorithm

Effects on Load-Frequency Control of a Solar Power System with a Two-Area Interconnected Thermal Power Plant and its Control with a New BFA Algorithm

Off-Line Optimization Based Active Control of Torsional Oscillation for Electric Vehicle Drivetrain

On the Contribution of Wind Farms in Automatic Generation Control: Review and New Control Approach

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