Sugeno fuzzy PID tuning, by genetic-neutral for AVR in electrical power generation

Gizi, Abdullah J. H. Al; Mustafa, Mohd Wazir; Al-geelani, Nasir A.; Alsaedi, Malik Abdulrazzaq

doi:10.1016/j.asoc.2014.10.046

Cited by 38 publications

(21 citation statements)

References 11 publications

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“…These methods include using the PID controller in AVR, using the genetic algorithm and fuzzy logic approach to tuning AVR, adjusting the coe cients of the excitation system for achieving better response, etc. [15][16][17].…”

Section: Controller Responsementioning

confidence: 99%

“…Authors in [16] analysed performance of a combined genetic algorithm, radial basis function neural network, and Sugeno fuzzy logic approach to tuning a PID controller for an AVR system; they showed that this method could enhance transient response of the AVR system. In addition, authors in [17] used a Linear Quadratic Gaussian (LQG) control method to design a wide area damping controller.…”

Section: Controller Responsementioning

confidence: 99%

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Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Khandani

Foroud

2017

Scientia Iranica

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Maintaining network stability and encouraging generation companies to get involved in stability-maintaining objective are major concerns of an Independent System Operator (ISO) in a deregulated power system. Excitation system of synchronous generators is e ective and well-known equipment, which has a signi cant e ect on network stability. Therefore, improving performance of this system can enhance network stability. However, utilizing the methods that improve the performance of excitation system imposes cost on generation companies. This paper proposes a motivation mechanism for enhancing transient stability that encourages generation companies to improve performance of excitation system. In this mechanism, besides excitation system response improving methods, a transient stability constrained optimal power ow is solved in order to ensure maintaining transient stability under di erent contingencies. A 4-bus test system, an IEEE 14-bus test system, and an IEEE 118-bus test system are used to illustrate the e ectiveness of the proposed mechanism. Implementation results show that the proposed mechanism not only provides required transient stability margin with minimum operation cost, but also does not restrict generators production capability.

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Section: Controller Responsementioning

confidence: 99%

Section: Controller Responsementioning

confidence: 99%

Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Khandani

Foroud

2017

Scientia Iranica

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“…Recently, AVR design with advanced control technologies has been extensively researched [9][10][11]. However, many of these strategies lack one or more of the three basic and important features that an AVR used in engineering fields should have, e.g., easy implementation, low computation burden and good performance over full operating range.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Proportion and Integral Control of Synchronous Generator

Wang¹,

Xing²,

Ye³

et al. 2018

dteees

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Abstract.A fuzzy proportion plus integral (FPI) control strategy is investigated for the automatic voltage regulator (AVR) of synchronous generators (SGs). The Takagi-Sugeno·(T-S) fuzzy state observer is employed to solve the SGs state estimation over its full operating range. Based on the obtained observer, an optimal PI controller is proposed to control over the excitation system of a SG. Then, the controller design is formulated as a H 2 optimization problem, which can be transformed into eigenvalue problems (EVPs) with linear matrix inequality (LMI) constrains. The EVP is a convex optimization, which can be tackled easily by using MATLAB/LMI toolbox. Simulation results show the effectiveness of the proposed controller.

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“…had also been adopted to design PID controller for AVR system. In [13], a combined genetic algorithm (GA), radial basis function neural network (RBF-NN) and Sugeno fuzzy logic approaches was proposed to design the optimal PID controller parameters. In [12], particle swarm optimization (PSO) was used to tune the parameters of PID controller by minimizing an objective function consists of overshoot, raising time, settle time and steady-state error.…”

Section: Introductionmentioning

confidence: 99%

Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm

Tang

Zhao

Han

et al. 2015

Int. J. Mach. Learn. & Cyber.

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Automatic voltage regulator (AVR) is an equipment maintaining the terminal voltage of generators to a specific level all the time and under any load conditions. Many controllers for AVR system are designed based on a linearized normal model of AVR system and they are not robust enough against uncertainties such as parameter variation and load change in the system. In this paper, a gray PID (GPID) controller is designed for AVR system. The GPID controller consists of two parts, i.e. a conventional PID controller together with a gray compensation controller. In GPID controller, gray GM (0, N) model is used to estimate the uncertainties online, and a gray compensation controller is constructed according the estimation results to eliminate the effect of uncertainties. To further improve its performance, the GPID controller's parameters are optimized through a new evolutionary algorithm, i.e., imperialist competitive algorithm (ICA). The proposed GPID controller can effectively deal with the uncertainties in AVR system. Simulation results illustrate its effectiveness of the proposed control scheme.

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Sugeno fuzzy PID tuning, by genetic-neutral for AVR in electrical power generation

Cited by 38 publications

References 11 publications

Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Providing Transient Stability by Excitation System Response Improvement Methods through Long Term Contracts

Fuzzy Proportion and Integral Control of Synchronous Generator

Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm

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