Optimal Tuning of Unified Power Flow Controller Using Firefly Algorithm to Improve Damping of Inter-Area Oscillations in Multi-Machine System

Utami, Rathy Shinta; Abu-Siada, Ahmed; Suwarno, &; Hariyanto, Nanang; Djalal, Muhammad Ruswandi; Hartono, Joko

doi:10.1109/spies48661.2020.9243095

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Particle swarm optimization was used by the authors of [18] to create an output feedback UPFC controller for dampening electromechanical oscillations. Using the firefly method, authors in [19] demonstrated the best tuning for a unified power flow controller to reduce inter-area oscillations in a multi-machine system. In [20], authors described a STATCOM controller design that dampens low frequency oscillations in the power system using a modified shuffling frog leaping algorithm.…”

Section: Related Workmentioning

confidence: 99%

Mitigating Low-Frequency Oscillations and Enhancing the Dynamic Stability of Power System Using Optimal Coordination of Power System Stabilizer and Unified Power Flow Controller

et al. 2023

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The integration of a flexible alternating current transmission system (FACTS) and a power system stabilizer (PSS) can increase dynamic stability. This paper presents the enhancement of power system dynamic stability through the optimal design of a power system stabilizer and UPFC using an ant lion optimization (ALO) technique to enhance transmission line capacity. The gained damping ratio, eigenvalue and time domain results of the suggested ALO technique were compared with a base case system, ALO-based PSS and ALO-based PSS-UPFC to test the effectiveness of the proposed system in different loading cases. Eigenvalues gained from an ant lion approach-based UPFC with a PSS and a base case system are compared to examine the robustness of the ALO method for various loading conditions. Thus, this paper addresses the mechanism regarding the power system dynamic stability of transmission lines by integrating the optimal size of a PSS and UPFC into the power system. Therefore, the main contribution of this manuscript is the optimal coordination of a power system stabilizer, power oscillation damper and unified power flow using ant lion optimization for the mitigation of low-frequency oscillation.

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Section: Related Workmentioning

confidence: 99%

Mitigating Low-Frequency Oscillations and Enhancing the Dynamic Stability of Power System Using Optimal Coordination of Power System Stabilizer and Unified Power Flow Controller

et al. 2023

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“…An optimization method utilizing PSO is used to quickly get parameter values because the range of equipment parameters is broad and diverse. The objective function minimizes the Integral Time Absolute Error (ITAE), and the response value is determined by examining the overshoot and settling time values [23]. Overshoot is the occurrence when a signal or function exceeds its target, while settling time is the time required to reach the target The case study system is Single Machine Infinite Bus (SMIB).…”

Section: Introductionmentioning

confidence: 99%

Using Particle Swarm Optimization for Power System Stabilizer and energy storage in the SMIB system under load shedding conditions

Mansur,

Djalal

2023

Sinergi

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Generator instability, which manifests as oscillations in frequency and rotor angle, is brought on by sudden disruptions in the power supply. Power System Stabilizer (PSS) and Energy Storage are additional controllers that enhance generator stability. Energy storage types include superconducting magnetic (SMES) and capacitive (CES) storage. If the correct settings are employed, PSS, SMES, and CES coordination can boost system performance. It is necessary to use accurate and effective PSS, SMES, and CES tuning techniques. Artificial intelligence techniques can replace traditional trial-and-error tuning techniques and assist in adjusting controller parameters. According to this study, the PSS, SMES, and CES parameters can be optimized using a method based on particle swarm optimization (PSO). Based on the investigation's findings, PSO executes quick and accurate calculations in the fifth iteration with a fitness function value of 0.007813. The PSO aims to reduce the integral time absolute error (ITAE). With the addition of a load-shedding instance, the case study utilized the Single Machine Infinite Bus (SMIB) technology. The frequency response and rotor angle of the SMIB system are shown via time domain simulation. The analysis's findings demonstrate that the controller combination can offer stability, reducing overshoot oscillations and enabling quick settling times.

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Optimal design of power system stabilizer and energy storage using particle swarm optimization under load shedding condition

Djalal,

Saini,

Yunus

2023

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGY AND MULTIDISCIPLINE (ICATAM) 2021: “Advanced Technology and

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Optimal Tuning of Unified Power Flow Controller Using Firefly Algorithm to Improve Damping of Inter-Area Oscillations in Multi-Machine System

Cited by 5 publications

References 11 publications

Mitigating Low-Frequency Oscillations and Enhancing the Dynamic Stability of Power System Using Optimal Coordination of Power System Stabilizer and Unified Power Flow Controller

Mitigating Low-Frequency Oscillations and Enhancing the Dynamic Stability of Power System Using Optimal Coordination of Power System Stabilizer and Unified Power Flow Controller

Using Particle Swarm Optimization for Power System Stabilizer and energy storage in the SMIB system under load shedding conditions

Optimal design of power system stabilizer and energy storage using particle swarm optimization under load shedding condition

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