Improved Design of Interval Type-2 Fuzzy based Wide Area Power System Stabilizer for Inter-area Oscillation Damping

Sreedivya, K. M.; Jeyanthy, P. Aruna; Devaraj, D.

doi:10.1016/j.micpro.2021.103957

Cited by 30 publications

(22 citation statements)

References 30 publications

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“…Soft computing juga digunakan untuk mereduksi respons transient pada high voltage direct current (Ginarsa et al, 2022;2020;2019;2018). Soft computing jenis fuzzy type-2 untuk desain PSS dan diaplikasikan untuk perbaikan stabilitas STL multi mesin (Sreedivya et al, 2021). Tuning yang optimal PSS fuzzy type-2 berbasis algoritma evolusi diferensial.…”

Section: Pendahuluanunclassified

Aplikasi Fuzzy Type-2 PSS untuk Perbaikan Stabilitas Dinamik Pembangkit Listrik Tenaga Mikro Hidro dan Diesel

Nrartha

Ginarsa

Sultan

et al. 2022

jstl

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Teknologi fuzzy tipe 2 (FT2) berkembang sangat pesat dan memasuki bidang stabilitas sistem tenaga listrik. Pembangkit listrik tenaga mikro hidro (PLTMH) dan diesel (PLTD) riskan terhadap gangguan perubahan beban. Studi stabilitas penting dikerjakan untuk memastikan bahwa operasi PLTMH-PLTD tetap stabil ketika dan setelah beban berubah. Maka power system stabilizer (PSS) berbasis FT2 diusulkan untuk perbaikan stabilitas sistem tersebut. FT2PSS didesain dengan input kecepatan rotor dan derivatifnya. Outputnya adalah sinyal stabilitas yang diumpankan pada sistem eksitasi. Hasilnya, FT2PSS mampu mereduksi overshoot -0,035 deg. Sedangkan overshoot untuk CPSS adalah -0,051 deg. FT2PSS juga dapat mempersingkat settling time dan mempercepat steady state. Stabilitas PLTMH-PLTD yang dilengkapi dengan FT2PSS diperbaiki secara significan.

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Section: Pendahuluanunclassified

Aplikasi Fuzzy Type-2 PSS untuk Perbaikan Stabilitas Dinamik Pembangkit Listrik Tenaga Mikro Hidro dan Diesel

Nrartha

Ginarsa

Sultan

et al. 2022

jstl

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“…Numerous methods such as the genetic algorithm [25], [26], neural networks [27], particle swarm optimization (PSO) [28], [29] harmony search algorithm [30], imperialist competitive algorithm [31], RCQEA [32]- [36], firefly algorithm and galactic swarm optimization [37], bee colony algorithm [38], slime mould algorithm [39], and shark smell optimization [40] have been used in IT2FLC optimization to improve its behaviour on the system.…”

Section: Related Workmentioning

confidence: 99%

“…This causes the qubit to be rotated meaninglessly and makes it difficult for RCQEA to find better solutions. As the main contribution of this study, we propose a different rotation angle determination strategy as in ( 23)- (26)…”

Section: Qrgmentioning

confidence: 99%

Optimization of Interval Type-2 Fuzzy Logic Controller Using Real-Coded Quantum Clonal Selection Algorithm

Şatır¹,

Baser²

2022

ELEKTRON ELEKTROTECH

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In recent years, quantum computing has gained immense popularity with the production of real quantum computers. Researchers have developed quantum-inspired evolutionary algorithms (QIEAs) to solve combinatorial optimization problems and have obtained successful results. As a special case of QIEAs, real-coded quantum evolutionary algorithm (RCQEA) is used in the optimization of high-dimensional complex problems. In this study, a novel mechanism of the quantum rotation gate (QRG) that is used to determine the rotation angle of the qubit in the RCQEA is introduced and implemented to accelerate the evolutionary process and increase the possibility of finding the optimal solution. Moreover, the skeleton of RCQEA is modified by using a clonal selection mechanism, and the real-coded quantum clonal selection algorithm (RCQCSA) is developed. Our proposed QRG accelerates the convergence speed of the algorithm. The main purpose of this study is to present a more effective algorithm that inspires quantum computing principles for optimizing the interval type-2 fuzzy logic controller (IT2FLC) membership functions (MFs). In this study, four different comparisons are made with these two different algorithms that have the original version of QRG and our proposed QRG. Optimized IT2FLC provides stabilization of the inverted pendulum system. The results show that the RCQCSA having our proposed QRG outperforms RCQEA in stabilizing the inverted pendulum system by optimizing the IT2FLC parameters.

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“…Where: ∆x is the state vector, ∆y is the output vector, ∆u is the input vector, A is the state matrix, B is the control matrix, C is the output matrix, D is the feedforward matrix. For the power system, y is not a direct function of u , that is 0 = D system can be determined by judging the position of eigenvalues of the state matrix A on the complex plane [19]. Many studies show that the generator controller is effective in changing the real part of oscillation mode, in the meantime, has little influence on the imaginary part.…”

Section: Parameter Optimization Of Pss For Multi-machine Systemmentioning

confidence: 99%

“…After the stacking is completed, the conversion is achieved through two consecutive operations. The first step is to randomly arrange the row elements of the matrix init M and perform independent operations on each row element, The second step is to randomly arrange the row vectors of the matrix without changing the row elements [19].…”

Section: Pss Parameter Optimization Based On Sa-quatre Algorithmmentioning

confidence: 99%

Application of Improved Quasi-Affine Transformation Evolutionary Algorithm in Power System Stabilizer Optimization

Jing¹,

Liu²,

Zhang³

et al. 2022

Preprint

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This paper proposes a parameter coordination optimization design of Power System Stabilizer (PSS) based on an improved Quasi-Affine Transformation Evolutionary (QUATRE) algorithm to suppress low-frequency oscillation and improve the dynamic stability of power system. To begin, the Simulated Annealing (SA) algorithm randomly updates the globally optimal solution of each QUATRE iteration and matches the inferior solution with a certain probability to escape the local extreme point. This new algorithm is first applied to power system. Second, Since damping ratio is one of the criteria to measure the dynamic stability of power system, this paper sets the objective function according to the principle of maximization of damping coefficient of electromechanical mode, and uses SA-QUATRE to search a group of global optimal PSS parameter combinations to improve the stability margin of the system as much as possible. Finally, the method's rationality and validity were validated by applying it to the simulation examples of IEEE 4-machine 2-area system with different operation states. The comparison with the traditional optimization algorithm shows that the proposed method has more advantages for multi-machine PSS parameter coordination optimization, and can restrain the low-frequency oscillation of power system more effectively and enhance the system stability.

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Improved Design of Interval Type-2 Fuzzy based Wide Area Power System Stabilizer for Inter-area Oscillation Damping

Cited by 30 publications

References 30 publications

Aplikasi Fuzzy Type-2 PSS untuk Perbaikan Stabilitas Dinamik Pembangkit Listrik Tenaga Mikro Hidro dan Diesel

Aplikasi Fuzzy Type-2 PSS untuk Perbaikan Stabilitas Dinamik Pembangkit Listrik Tenaga Mikro Hidro dan Diesel

Optimization of Interval Type-2 Fuzzy Logic Controller Using Real-Coded Quantum Clonal Selection Algorithm

Application of Improved Quasi-Affine Transformation Evolutionary Algorithm in Power System Stabilizer Optimization

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