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1

Zadehbagheri, Mahmoud, Tole Sutikno, Mohammad Javad Kiani, and Meysam Yousefi. "Designing a power system stabilizer using a hybrid algorithm by genetics and bacteria for the multi-machine power system." Bulletin of Electrical Engineering and Informatics 12, no. 3 (2023): 1318–31. http://dx.doi.org/10.11591/eei.v12i3.4704.

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This research creates an optimal power grid stabilizer for four machines. Rotor speed signals are system inputs in the proposed design. To improve response, this system uses a conventional power system stabilizer (CPSS) and an optimal CPSS (OCPSS). The genetic optimization hybrid has a new structure, and the network generators use the bacterial foraging algorithm (BFA) with stabilizer system. The system set is tested by MATLAB software under various conditions to evaluate the designs. The experiment starts with a three-phase fault in line 3 that is fixed by breaking the line after 0.2 seconds.
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2

Mahmoud, Zadehbagheri, Sutikno Tole, Javad Kiani Mohammad, and Yousefi Meysam. "Designing a power system stabilizer using a hybrid algorithm by genetics and bacteria for the multi-machine power system." Bulletin of Electrical Engineering and Informatics 12, no. 3 (2023): 1318~1331. https://doi.org/10.11591/eei.v12i3.4704.

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This research creates an optimal power grid stabilizer for four machines. Rotor speed signals are system inputs in the proposed design. To improve response, this system uses a conventional power system stabilizer (CPSS) and an optimal CPSS (OCPSS). The genetic optimization hybrid has a new structure, and the network generators use the bacterial foraging algorithm (BFA) with stabilizer system. The system set is tested by MATLAB software under various conditions to evaluate the designs. The experiment starts with a three-phase fault in line 3 that is fixed by breaking the line after 0.2 seconds.
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3

Ishag, Ahmed Mohammed, Elnazeer Ai Hamid Abdalla, Mohammed Elnour A/Alla, and Tamador Elhansaa J. Mohamed. "Small Signal Stability Enhancement Of Power System Using Adaptive Control Based Power System Stabilizer." IOSR Journal of Electrical and Electronics Engineering 19, no. 6 (2024): 47–52. https://doi.org/10.9790/0853-1906014752.

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Power systems are subjected to low frequency disturbances that might cause loss of synchronism and an eventual breakdown of entire system. The oscillations, which are typically in the frequency range of 0.2 to 3.0 Hz, might be excited by the disturbances in the system or, in some cases, might even build up spontaneously. These oscillations limit the power transmission capability of a network and, sometimes, even cause a loss of synchronism and an eventual breakdown of the entire system. For this purpose, Power system stabilizers (PSS) are used to generate supplementary control signals for the
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4

B. Chiranjeev, Rao, and Kumhar Sushil. "Design and performance analysis of opposition-based whale optimization algorithm tuned power system stabilizer for multimachine stability." i-manager's Journal on Power Systems Engineering 10, no. 4 (2023): 15. http://dx.doi.org/10.26634/jps.10.4.19277.

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A novel Opposition-based Whale Optimization Algorithm (OWOA) is utilized to build a power stabilizer and increase multimachine stability. A Conventional Power System Stabilizer (CPSS) with a lead-lag compensator is employed, and OWOA fine-tunes its settings using an objective function that minimizes the integral absolute error of speed deviations of generator rotors. Various time-domain simulations were performed to validate the superior performance of the proposed Power System Stabilizers (PSS). Furthermore, the performance of the proposed PSS is compared to a Whale Optimization Algorithm (WO
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5

Ab Khalid, Nur Safura, Mohd Wazir Mustafa, and Rasyidah Mohamed Idris. "Optimal Parameters Tuning of Power System Stabilizer via Bees Algorithm." Applied Mechanics and Materials 781 (August 2015): 397–401. http://dx.doi.org/10.4028/www.scientific.net/amm.781.397.

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This paper presents a new approach for designing the Power System Stabilizer. As in power system network, low frequency oscillation always occurs for a long period of time that will decrease the power transfer capability. Power System Stabilizer known as PSS is being installed as one of the control devices in a generating unit. The conventional PSS (CPSS) is the most commonly used in power system, which uses lead-lag compensation. The lack in CPSS has drawn an interest of designing the new approach of PSS to outperform the conventional one. Thus, Bees Algorithm (BA) which is known as one of th
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6

Kahouli, O., B. Alshammari, K. Sebaa, M. Jebali, and Abdallah H. Hadj. "Type-2 Fuzzy Logic Controller Based PSS for Large Scale Power Systems Stability." Engineering, Technology & Applied Science Research 8, no. 5 (2018): 3380–86. https://doi.org/10.5281/zenodo.1490364.

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In this paper, the application of the fuzzy logic based power systems stabilizer (FLPSS) to damp power system oscillation is presented. Various types of fuzzy logic controller are used to replace the conventional power system stabilizer (CPSS). The classic fuzzy logic controller based PSS (FLCPSS), the polar FLC (PFLCPSS) and the interval type-2 fuzzy logic controller based PSS (IT2FLCPSS) are applied to the New England - New York interconnected power system and the obtained results are compared. For coordination purposes, genetic algorithm (GA) is used to tune the FLCPSS’s gains. The no
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7

Hussein, T., and A. Shamekh. "Performance Assessment of Fuzzy Logic Power System Stabilizer on North Benghazi Power Plant." Conference Papers in Engineering 2013 (May 30, 2013): 1–6. http://dx.doi.org/10.1155/2013/635808.

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Fuzzy logic design has been implemented online to tune the power system stabilizer gain (KPSS). To assess the performance of the proposed technique, Benghazi North Power Plant (BNPP), at eastern Libyan network, has been utilized as a power system stabilizer (PSS) benchmark. The design considers different operating conditions and large disturbance. A selection of fuzzy rules is derived by means of system output power to tune KPSS, whereas Particle Swarm Optimization technique (PSO) is exploited to calculate the PSS parameters offline according to real-time measurements of the considered plant.
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8

Kahouli, O., B. Ashammari, K. Sebaa, M. Djebali, and H. H. Abdallah. "Type-2 Fuzzy Logic Controller Based PSS for Large Scale Power Systems Stability." Engineering, Technology & Applied Science Research 8, no. 5 (2018): 3380–86. http://dx.doi.org/10.48084/etasr.2234.

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In this paper, the application of the fuzzy logic based power systems stabilizer (FLPSS) to damp power system oscillation is presented. Various types of fuzzy logic controller are used to replace the conventional power system stabilizer (CPSS). The classic fuzzy logic controller based PSS (FLCPSS), the polar FLC (PFLCPSS) and the interval type-2 fuzzy logic controller based PSS (IT2FLCPSS) are applied to the New England - New York interconnected power system and the obtained results are compared. For coordination purposes, genetic algorithm (GA) is used to tune the FLCPSS’s gains. The non-line
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9

Sandeep, Dhundhara *1 Pradeep Kumar 2. Deepak Lakra 3. "TRANSIENT PERFORMANCE ANALYSIS OF CPSS BASED POWER SYSTEM WITH THE PRESENCE ENERGY STORAGE DEVICES." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 8 (2017): 154–63. https://doi.org/10.5281/zenodo.839153.

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This paper analyzed a comparative transient performance of different types of single machine power system connected to infinite bus under the presence of energy storage devices like Superconducting Magnetic Energy Storage (SMES) and Capacitive Energy Storage (CES). For Automatic Generation Control (AGC) loop, thermal unit is considered. The thermal unit is either single or double reheat turbine. PI controller is provided in the AGC loop. The power system AVR loop is provided with Conventional Power System Stabilizer (CPSS), the performances are compared under the presence of SMES and CES units
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10

Hamanah, Waleed M., Abdullah Baraean, A. Hussein, and Mohammad A. Abido. "Stabilizing multimachine power systems with fuzzy logic using artificial bee colonies." Renewable Energy and Power Quality Journal 21, no. 1 (2023): 166–71. http://dx.doi.org/10.24084/repqj21.258.

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Over the past few years, fuzzy logic systems have gained popularity due to their superiority over classical controllers when it comes to enhancing the transient stability of power systems. In this paper, a Fuzzy Logic Power System Stabilizer (FLPSS) is designed to damp local and inter-area oscillations following disturbances through the use of an Artificial Bee Colony Optimization Algorithm (ABC). The designed FLPSS is expected to significantly increase the robustness of power systems and ultimately improve the quality of power supply to end-users. This test system consists of two areas with f
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11

AlDurze, firas, and sura Abdullah. "Simulation And Analysis of An Intelligent Power System Stabilizer Using Fuzzy Logic." Tikrit Journal of Engineering Sciences 27, no. 4 (2020): 70–86. http://dx.doi.org/10.25130/tjes.27.4.08.

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The basic aim of the power system stabilizer is to damp the fluctuations that occur on the rotating axis of the synchronous generator that result from noise or disturbance on the power system. This is achieved by producing an appropriate damping torque for these fluctuations across the excitation circuit of the generator and for a wide range of operation conditions. The study describes the types of power system stabilizers and giving an mathematical model of the power system that consists of a synchronous machine connected to the infinite bus though transmission lines. This has been achieved b
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12

PANDA, SIDHARTHA, and NARAYANA PRASAD PADHY. "APPLICATION OF GENETIC ALGORITHM FOR PSS AND FACTS-BASED CONTROLLER DESIGN." International Journal of Computational Methods 05, no. 04 (2008): 607–20. http://dx.doi.org/10.1142/s0219876208001650.

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This paper investigates the application of genetic algorithm (GA) for the design of a power system stabilizer (PSS) and a flexible ac transmission system (FACTS)–based controller to enhance power system stability. The design problem of the proposed controllers is formulated as an optimization problem and the GA optimization technique is employed to search for optimal controller parameters. The proposed controllers are tested on a weakly connected power system under various disturbances and loading conditions, and compared with a conventional PSS (CPSS). The eigenvalue analysis and nonlinear si
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13

Forhad, Mohammad, Mehedi Hasan Shakil, Md Rashidul Islam, and Md Shafiullah. "LFO Damping Enhancement in Multimachine Network Using African Vulture Optimization Algorithm." Journal of Energy and Power Technology 06, no. 01 (2024): 1–18. http://dx.doi.org/10.21926/jept.2401003.

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The prolonged presence of low-frequency oscillation (LFO) in power system networks (PSN) poses a significant threat to their stability. Hence, engineers and researchers have continuously developed effective strategies to mitigate the issue and enhance the stability of the PSN. This article proposes a new approach using the African Vultures Optimization Algorithm (AVOA) to design robust Power System Stabilizers (PSS) and enhance the LFO damping in multi-machine networks. The damping ratio-based objective function minimizes the oscillations and increases the system damping. Conventional power sy
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14

Shahgholian, G., and A. Fattollahi. "Improving Power System Stability Using Transfer Function: A Comparative Analysis." Engineering, Technology & Applied Science Research 7, no. 5 (2017): 1946–52. https://doi.org/10.5281/zenodo.1037187.

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In this paper, a small-signal dynamic model of a single-machine infinite-bus (SMIB) power system that includes IEEE type-ST1 excitation system and PSS based on transfer function structure is presented. The changes in the operating condition of a power system on dynamic performance have been examined. The dynamic performance of the closed-loop system is analyzed base on its eigenvalues. The effectiveness of the parameters changes on dynamic stability is verified by simulation results. Three types of PSS have been considered for analysis: (a) the derivative PSS, (b) the lead-lag PSS or conventio
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15

Ali, E. S. "Power System Stabilizers Design Using BAT Algorithm." WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL 17 (November 23, 2022): 466–76. http://dx.doi.org/10.37394/23203.2022.17.51.

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A new metaheuristic method, the BAT algorithm based on the echolocation behaviour of bats is proposed in this paper for optimal design of Power System Stabilizers (PSSs) in a multimachine environment. The PSSs parameter tuning problem is converted to an optimization problem which is solved by the BAT search Algorithm. An eigenvalues based objective function involving the damping factor, and the damping ratio of the lightly damped electromechanical modes is considered for the PSSs design problem. The performance of the proposed BAT based PSSs (BATPSS) has been compared with Genetic Algorithm (G
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16

Ali, E. S. "Power System Stabilizers Layout via Flower Pollination Algorithm." International Journal of Electrical Engineering and Computer Science 4 (December 31, 2022): 80–87. http://dx.doi.org/10.37394/232027.2022.4.12.

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In this article, the optimum layout of Power System Stabilizers (PSSs) using Flower Pollination Algorithm (FPA) is developed in a multimachine environment. The PSSs values tuning problem is turned into an optimization task which is treated by FPA. FPA is used to check for optimum controller parameters by reducing an eigenvalues based objective function involving the damping factor, and the damping ratio of the lightly damped modes. The implementation of the developed FPA based PSSs (FPAPSS) is compared with Particle Swarm Optimization (PSO) based PSSs (PSOPSS) and the Conventional PSSs (CPSS)
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17

Uravakonda, Sreenivas, Vijaya Kumar Mallapu, and Venkateswara Reddy Annapu Reddy. "An analytical approach for LQR design for improving damping performance of multi-machine power system." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (2022): 51–58. https://doi.org/10.11591/ijeecs.v25.i1.pp51-58.

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In a multi-machine environment, the inter-area low-frequency oscillations induced due to small perturbation(s) has a significant adverse effect on the maximum limit of power transfer capacity of power system. Conventionally, to address this issue, power systems were equipped with lead-lag power system stabilizers (CPSS) for damping oscillations of low-frequency. In recent years the research was directed towards optimal control theory to design an optimal linear-quadratic-regultor (LQR) for stabilizing power system against the small perturbation(s). The optimal control theory provides a systema
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18

Arzeha, Nurul Aziah, Mohd Wazir Mustafa, and Rasyidah Mohamed Idris. "Lead Lag Controller of TCSC Optimized by Bees Algorithm for Damping Low Frequency Oscillation Enhancement in SMIB." Applied Mechanics and Materials 781 (August 2015): 374–78. http://dx.doi.org/10.4028/www.scientific.net/amm.781.374.

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Power system is often vulnerable to low frequency electromechanical oscillations due to the interconnected configuration. A common lead-lag controller is used for one of the FACTS devices known as Thyristor Controlled Series Compensator (TCSC) as supplementary controller for damping purpose in order to improve transient stability and power oscillation damping of the system. As Bees Algorithm (BA) optimized the parameters of the TCSC lead-lag controller, thus its named is TCSC-BALL. In this study, the optimization problem is formulated as a constrained optimization with the main objective is to
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19

Djamel Eddine, Ghouraf, Naceri Abdellatif, Abid Mohamed, and Kabi Wahiba. "A Developed Graphical User Interface for Power System Stability and Robustness Studies." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 3 (2015): 458. http://dx.doi.org/10.11591/tijee.v15i3.1563.

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This paper present the realization and development of a graphical user interface (GUI) to studied the stability and robustness of power systems (analysis and synthesis), using Conventional Power System Stabilizers (CPSS - realized on PID scheme) or advanced controllers (based on adaptive and robust control), and applied on automatic excitation control of powerful synchronous generators, to improve dynamic performances and robustness. The GUI is a useful average to facilitate stability study of power system with the analysis and synthesis of regulators, and resolution of the compromise: results
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20

Barzegaran, Mohammadreza, and Sana Tajvidi. "A Robust Control with the Combination of Fuzzy and SMC to Stabilize the Power System." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 2 (2016): 341. http://dx.doi.org/10.11591/ijeecs.v4.i2.pp341-353.

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<p>Common power system stabilizer (CPSS), fuzzy power system stabilizer (FPSS) and sliding mode controller (SMC) are common controllers which are used in controlling single machine infinite bus (SMIB) power systems. Each of these controllers has disadvantages. CPSS is not robust enough to stabilize the power system perfectly. SMC is more robust than CPSS but in the presence of big uncertainties it is unable to stabilize power system. FPSS is enough robust in the presence of big uncertainties, but it causes chattering when high switching gain is needed. The goal of this paper is to presen
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21

Hamanah, Waleed M., A. Baraean, and Asif Islam. "Power System Stabilizer Based on Artificial Bee Colony Algorithms." Energies and Quality Journal 2 (July 2024): 31–36. http://dx.doi.org/10.24084/eqj24.223.

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Transient stability of power systems is increasingly enhanced through the use of fuzzy logic systems compared with classical controllers. Fuzzy Logic Power System Stabilizers (FLPSS) are optimized in this paper using an Artificial Bee Colony Optimization Algorithm (ABC). ABC-FLPSS has been evaluated using two-area 4- machine and eleven-bus multimachine power systems. For optimizing fuzzy logic power system stabilizer scaling factors, an objective function is formulated as the Integral Squared Error of rotor speed deviation. Changes in parameter values as well as removal of transmission lines a
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22

Uravakonda, Sreenivas, Vijaya Kumar Mallapu, and Venkateswara Reddy Annapu Reddy. "An analytical approach for LQR design for improving damping performance of multi-machine power system." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 1 (2022): 51. http://dx.doi.org/10.11591/ijeecs.v25.i1.pp51-58.

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In a multi-machine environment, the inter-area low-frequency oscillations induced due to small perturbation(s) has a significant adverse effect on the maximum limit of power transfer capacity of power system. Conventionally, to address this issue, power systems were equipped with lead-lag power system stabilizers (CPSS) for damping oscillations of low-frequency. In recent years the research was directed towards optimal control theory to design an optimal linear-quadratic-regultor (LQR) for stabilizing power system against the small perturbation(s). The optimal control theory provides a systema
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23

Saidy, M., and F. M. Hughes. "Performance improvement of a conventional power system stabilizer." International Journal of Electrical Power & Energy Systems 17, no. 5 (1995): 313–23. http://dx.doi.org/10.1016/0142-0615(95)00004-4.

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24

Khooban, Mohammad Hassan, Navid Vafamand, and Jalil Boudjadar. "Tracking Control for Hydrogen Fuel Cell Systems in Zero-Emission Ferry Ships." Complexity 2019 (November 15, 2019): 1–9. http://dx.doi.org/10.1155/2019/5358316.

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For more than a century, conventional marine vessels spatter the atmosphere with CO2 emissions and detrimental particles when operated by diesel motors/generators. Fuel cells have recently emerged as one of the most promising emission-free technologies for the electrification of ship propulsion systems. In fuel cell-based ship electrification, the entire marine power system is viewed as a direct current (DC) microgrid (MG) with constant power loads (CPLs). A challenge of such settings is how to stabilize the voltages and currents of the ship’s grid. In this paper, we propose a new modified bac
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25

Irwanto, Muhamad, N. Gomesh, Y. M. Irwan, et al. "Improvement of Power System Dynamic Stability Based on Fuzzy Logic Power System Stabilizer (FLPSS)." Applied Mechanics and Materials 793 (September 2015): 139–43. http://dx.doi.org/10.4028/www.scientific.net/amm.793.139.

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Generally this project is to improve the dynamic power system stability using fuzzy logic power system stabilizer (FLPSS) which applied to the excitation system. This research is started by electric power system mathematic modelling (state variable equation) and block diagram then set membership function of fuzzy logic power system stabilizer (FLPSS). Block diagram model (plant system) is formed from state variable equation. The plant is controlled by fuzzy logic power system stabilizer (FLPSS) which its input and output from the rotor speed and to excitation system, respectively. To observe t
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26

Sushil, Kumhar, and Rao B. Chiranjeev. "A review of opposition-based whale optimization algorithm and whale optimization algorithm tuned power system stabilizer for multimachine stability." i-manager's Journal on Power Systems Engineering 11, no. 1 (2023): 28. http://dx.doi.org/10.26634/jps.11.1.19388.

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This research aims to improve the stability of power systems using a power stabilizer. Various methods were used to finetune the conventional Power System Stabilizer (PSS) with a lead-lag compensator by minimizing the integral absolute error of speed deviations of generator rotors. To evaluate the performance of the various methods, different timedomain simulation test cases were conducted and the results were compared with the performance of the Oppositional Whale Optimization Algorithm-based Power System Stabilizer (OWOA-based PSS), Whale Optimization Algorithm-based Power System Stabilizer
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27

Sabo, Aliyu, Noor Izzri Abdul Wahab, Mohammad Lutfi Othman, Mai Zurwatul Ahlam Mohd Jaffar, Hakan Acikgoz, and Hamzeh Beiranvand. "Application of Neuro-Fuzzy Controller to Replace SMIB and Interconnected Multi-Machine Power System Stabilizers." Sustainability 12, no. 22 (2020): 9591. http://dx.doi.org/10.3390/su12229591.

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In this research, an effective application and performance assessment of the Neuro-Fuzzy Controller (NFC) damping controller is designed to replace a single machine infinite bus (SMIB) power system stabilizer (PSS), and coordinated multi PSSs in large interconnected power systems are presented. The limitation of the conventional PSSs on SMIB and interconnected multi-machine test power systems are exposed and disclosed by the proposed NFC stabilizer. The NFC is a nonlinear robust controller which does not require a mathematical model of the test power system to be controlled, unlike the convent
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Aribowo, Widi, Bambang Suprianto, Unit Three Kartini, and Aditya Prapanca. "Dingo optimization algorithm for designing power system stabilizer." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (2022): 1. http://dx.doi.org/10.11591/ijeecs.v29.i1.pp1-7.

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The dingo optimization algorithm (DOA) adopts the social life of dingo dogs. The dingo is a breed of ancient dog originating from Australia. Dingo hunting strategies such as assault with persecution, flocking, and scavenging behavior became the inspiration for DOA. In this paper, DOA is applied to a power system stabilizer (PSS) to dampen low-frequency oscillations (LFO) in a single-machine infinite bus (SMIB). DOA is used to obtain optimal parameters for PSS. The damping controller is designed for optimal lead-lag control. To obtain the performance of the DOA method, the results were compared
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Aribowo, Widi, Bambang Suprianto, Unit Three Kartini, and Aditya Prapanca. "Dingo optimization algorithm for designing power system stabilizer." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 1 (2023): 1–7. https://doi.org/10.11591/ijeecs.v29.i1.pp1-7.

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The dingo optimization algorithm (DOA) adopts the social life of dingo dogs. The dingo is a breed of ancient dog originating from Australia. Dingo hunting strategies such as assault with persecution, flocking, and scavenging behavior became the inspiration for DOA. In this paper, DOA is applied to a power system stabilizer (PSS) to dampen low-frequency oscillations (LFO) in a single-machine infinite bus (SMIB). DOA is used to obtain optimal parameters for PSS. The damping controller is designed for optimal lead-lag control. To obtain the performance of the DOA method, the results were compared
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30

Nrartha, I. Made Ari, I. Made Ginarsa, Sultan Sultan, Agung Budi Muljono, and Warindi Warindi. "Aplikasi Fuzzy Type-2 PSS untuk Perbaikan Stabilitas Dinamik Pembangkit Listrik Tenaga Mikro Hidro dan Diesel." JURNAL SAINS TEKNOLOGI & LINGKUNGAN 7, no. 2 (2022): 185–94. http://dx.doi.org/10.29303/jstl.v7i2.272.

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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 m
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31

Ernek, Martin, Marián Tárník, Adrián Ilka, and Róbert Málík. "Robust power system stabilizer tuning using genetic algorithm." Journal of Electrical Engineering 76, no. 3 (2025): 232–40. https://doi.org/10.2478/jee-2025-0024.

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Abstract Significant changes in the energy sector are currently taking place, with conventional power sources being replaced by renewable energy sources. This trend leads to the reduction of the power system inertia and consequently weakens its dynamic stability. The damping of oscillations in the power system is significantly influenced by the excitation of synchronous generators, with the power system stabilizer (PSS) playing a crucial role. In this article a power system stabilizer design is offered that could meet any requirements formulated as the objective function. The proposed design o
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Djalal, Muhammad Ruswandi, Andareas Pangkung, Sonong Sonong, and Apollo Apollo. "Bat Intelligence For Tunning Power System Stabilizer At Barru Power Plant." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 2, no. 1 (2018): 16–20. http://dx.doi.org/10.21070/jeee-u.v2i2.1276.

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Changes in load on the power system suddenly, can cause dynamic disruption. This disturbance can not be responded well by the generator, so it can affect the system dynamic stability, such as the occurrence of oscillation speed and rotor angle. Conventional control of excitation and governor, also unable to repair the oscillations, so that additional controllers such as Power System Stabilizer (PSS) are required. In the use of PSS, there are several problems that often arise, namely the correct tuning of PSS parameters. In this research, we proposed a method of smart computing based on bat alg
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33

Nechadi, Emira. "Adaptive Fuzzy Type-2 Synergetic Control Based on Bat Optimization for Multi-Machine Power System Stabilizers." Engineering, Technology & Applied Science Research 9, no. 5 (2019): 4673–78. https://doi.org/10.5281/zenodo.3510236.

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A new, adaptive, fuzzy type-2 fast terminal, synergetic multi-machine power system stabilizer is proposed in this study, based on the Bat algorithm. The time spent to reach the equilibrium point, from any initial state, is guaranteed to be finite. The adaptive fuzzy type-2 design is applied to estimate the unknown functions of a multi-machine power system. The parameters of the fast terminal synergetic control are optimized, using bat metaheuristic method. In order to test the robustness of the proposed stabilizer, three load conditions, of the multimachine power system are studied. A comparis
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34

Nechadi, E. "Adaptive Fuzzy Type-2 Synergetic Control Based on Bat Optimization for Multi-Machine Power System Stabilizers." Engineering, Technology & Applied Science Research 9, no. 5 (2019): 4673–78. http://dx.doi.org/10.48084/etasr.2970.

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A new, adaptive, fuzzy type-2 fast terminal, synergetic multi-machine power system stabilizer is proposed in this study, based on the Bat algorithm. The time spent to reach the equilibrium point, from any initial state, is guaranteed to be finite. The adaptive fuzzy type-2 design is applied to estimate the unknown functions of a multi-machine power system. The parameters of the fast terminal synergetic control are optimized, using bat metaheuristic method. In order to test the robustness of the proposed stabilizer, three load conditions, of the multi-machine power system are studied. A compari
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KHELLOUFI, ABDESELEM, BILAL SARI, and SEIF EDDINE CHOUABA. "STRUCTURED H∞ CONTROL BASED ROBUST POWER SYSTEM STABILIZER FOR STABILITY OF MULTI-MACHINE SYSTEM." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 69, no. 1 (2024): 91–96. http://dx.doi.org/10.59277/rrst-ee.2024.1.16.

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A robust design of power system stabilizers (PSSs) using H∞ output feedback control has been introduced in this work. To facilitate the implementation of the designed PSSs, the proposed technique employs the H∞ to tune the fixed-structure conventional lead-lag PSS parameters of the multi-machine system. These PSSs are used to improve the damping of the local and inter-area low-frequency oscillations in power systems under different operating conditions. The proposed control is tested on a multi-machine system, which is a three-machine nine-bus system. A comparative simulation study shows a sig
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36

Wen, C., and M. J. Gibbard. "Conventional power system stabilizer with auxiliary self tuning/fixed-parameter controller." International Journal of Electrical Power & Energy Systems 17, no. 1 (1995): 39–49. http://dx.doi.org/10.1016/0142-0615(95)93276-5.

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37

Elmenfy, Tawfiq H., and Samah Abdelsalam. "Design of Variable Structure Fuzzy Power System Stabilizer in Multimachine System." International Journal of Electrical Engineering and Computer Science 5 (June 6, 2023): 41–47. http://dx.doi.org/10.37394/232027.2023.5.6.

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This paper introduces adaptive variable structure fuzzy controller as a power system stabilizer (AFPSS) used to damp inter-area modes of oscillation following large disturbances in power systems. In contrast to the conventional PSS, fuzzy-based stabilizers are more efficient because they cope with oscillations at different operating points. The proposed controller is a fuzzy-logic-based PSS that has the capability to tune its rule-base on line. The change in the fuzzy rule base is done using a variable-structure algorithm to achieve optimum performance. The adaptive algorithm of the proposed c
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38

Riad Al-Mustfa, Riad Al-Mustfa. "Robust Coordinated Design of Power System Stabilizer and Excitation System Using Genetic Algorithm to Enhance the Dynamic Stability of Al-Zara Thermal Power Station Generation in Syria." journal of King Abdulaziz University Engineering Sciences 23, no. 1 (2012): 59–81. http://dx.doi.org/10.4197/eng.23-1.4.

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In this paper, a new formula of Power System Stabilizer (PSS) was adopted. The design of PSS and Excitation system (an Exciter) parameters is formulated as an optimization problem. A continuous genetic algorithm (GA) is employed for searching optimized parameters. A multi-objective function includes the deviation in the oscillatory rotor speed of the generator is minimized in time-domain to improve the stability performance of the system. The design is performed using linearized models of a real thermal power system, Al-Zara Thermal Power Station in Syria, at four operating conditions and larg
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Rus, Casas Catalina. "Robust Nonsingular Terminal Sliding Mode Control of a Buck Converter Feeding a Constant Power Load." Electronics 12, no. 728 (2024): 27. https://doi.org/10.3390/electronics12030728.

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In recent years, DC microgrid systems feeding constant power loads (CPLs) have beengiven a particular focus due to their effect on the overall system stability caused by their electricalcharacteristics behaving as negative incremental impedance. To address this issue, this paper investigatesthe stabilization of a DC bus voltage in a DC microgrid (MG) feeding a CPL. The output voltageof the main DC bus is stabilized by using a robust nonsingular terminal sliding mode controller that ischaracterized by the elimination of the singularity problem that arises from the conventional terminalsliding m
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Habbi, Hanan Mikhael, and Ahmed Alhamadani. "Implementation of Power System Stabilizer Based on Conventional and Fuzzy Logic Controllers." Journal of Engineering 24, no. 3 (2018): 97. http://dx.doi.org/10.31026/j.eng.2018.03.08.

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To damp the low-frequency oscillations which occurred due to the disturbances in the electrical power system, the generators are equipped with Power System Stabilizer (PSS) that provide supplementary feedback stabilizing signals. The low-frequency oscillations in power system are classified as local mode oscillations, intra-area mode oscillation, and interarea mode oscillations. A suitable PSS model was selected considering the low frequencies oscillation in the inter-area mode based on conventional PSS and Fuzzy Logic Controller. Two types of (FIS) Mamdani and suggeno were considered in this
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Elmenfy, T. Hussein. "Design of Velocity PID-Fuzzy Power System Stabilizer Using Particle Swarm Optimization." WSEAS TRANSACTIONS ON SYSTEMS 20 (February 23, 2021): 9–14. http://dx.doi.org/10.37394/23202.2021.20.2.

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Power system stabilizer (PSS) is used to damping power system local and interarea modes of oscillation. It will act as additional signal through the generator excitation system which produces a component of electrical torque in phase with speed variation. Fuzzy controller is nonlinear. It is more difficult to set the fuzzy controller gains compared to conventional PID controller. This research proposed velocity (PID-FPSS) its gains are tuned off-line by particle swarm optimization techniques (PSO). The objectives are to damp local-area mode of oscillations that occur following power system dis
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Ataei, Mohammad, Rahmat-Allah Hooshmand, and Moein Parastegari. "A Wide Range Robust PSS Design Based on Power System Pole-Placement Using Linear Matrix Inequality." Journal of Electrical Engineering 63, no. 4 (2012): 233–41. http://dx.doi.org/10.2478/v10187-012-0033-7.

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A Wide Range Robust PSS Design Based on Power System Pole-Placement Using Linear Matrix InequalityIn this paper, a new method for robust PSS design based on the power system pole placement is presented. In this stabilizer, a feedback gain matrix is used as a controller. The controller design is proposed by formulating the problem of robust stability in a Linear Matrix Inequality (LMI) form. Then, the feedback gain matrix is designed based on the desired region of the closed loop system poles. This stabilizer shifts the poles of the power system in different operational points into the desired
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Aribowo, Widi. "AN ADAPTIVE POWER SYSTEM STABILIZER BASED ON FOCUSED TIME DELAY NEURAL NETWORK." Jurnal Teknosains 7, no. 1 (2018): 67. http://dx.doi.org/10.22146/teknosains.35130.

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In this paper, Power System Stabilizer is designed in Single Machine Infinite Bus (SMIB) and speed control is implemented with a dynamic topology based on Focused Time Delay Neural Network (FTDNN). In case of prediction and control, two individual strategies are concerned for the current projects. The first is identification the dynamics of system. The other is an optimization unit expected for minimization disturbances. The performance of the system with FTDNN-PSS controller is compared with a Conventional PSS (C-PSS), RNN-PSS and DTDNN PSS. The results show the effectiveness of FTDNN-PSS des
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Magzoub, Muawia A., Nordin B. Saad, and Rosdiazli B. Ibrahim. "Study and Analysis of Power System Stabiliser Performance Using Artificial Neural Network." Applied Mechanics and Materials 575 (June 2014): 605–9. http://dx.doi.org/10.4028/www.scientific.net/amm.575.605.

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This paper represents a study and analysis of designing a PSS (Power system stabilizer) to be used with SMIB (a Single Machine and Infinite Bus) system that was developed using ANN (Artificial Neural Network). Furthermore, the dynamic performance of ANN based stabilizer is established and compared with conventional types of PSS. The proposed scheme’s effectiveness was tested through simulation in order to analyse the stability features of the small signal of the system regarding the operating situation of the steady state when a transmission line is lost. The focus of the primary method was on
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Abido, M. A. "A novel approach to conventional power system stabilizer design using tabu search." International Journal of Electrical Power & Energy Systems 21, no. 6 (1999): 443–54. http://dx.doi.org/10.1016/s0142-0615(99)00004-6.

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Abdul Hameed, K., and S. Palani. "Robust design of power system stabilizer using bacterial foraging algorithm." Archives of Electrical Engineering 62, no. 1 (2013): 141–52. http://dx.doi.org/10.2478/aee-2013-0010.

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Abstract In this paper, a novel bacterial foraging algorithm (BFA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize three parameters (Kp, Ki, Kd) of PID-PSS based on foraging behaviour of Escherichia coli bacteria in human intestine. The problem of robustly selecting the parameters of the power system stabilizer is converted to an optimization problem which is solved by a bacterial foraging al
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Louassaa, Khalil, Aissa Chouder, and Catalina Rus-Casas. "Robust Nonsingular Terminal Sliding Mode Control of a Buck Converter Feeding a Constant Power Load." Electronics 12, no. 3 (2023): 728. http://dx.doi.org/10.3390/electronics12030728.

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In recent years, DC microgrid systems feeding constant power loads (CPLs) have been given a particular focus due to their effect on the overall system stability caused by their electrical characteristics behaving as negative incremental impedance. To address this issue, this paper investigates the stabilization of a DC bus voltage in a DC microgrid (MG) feeding a CPL. The output voltage of the main DC bus is stabilized by using a robust nonsingular terminal sliding mode controller that is characterized by the elimination of the singularity problem that arises from the conventional terminal sli
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48

Ngamroo, I., and S. Dechanupaprittha. "DESIGN OF ROBUST H∞ POWER SYSTEM STABILIZER USING NORMALIZED COPRIME FACTORIZATION." ASEAN Journal on Science and Technology for Development 19, no. 2 (2017): 85–96. http://dx.doi.org/10.29037/ajstd.341.

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This paper proposes a new design procedure of robust power system stabilizers (PSS) using H∞ control via normalized coprime factorization (NCF) approach. The design procedure of the proposed PSS is systematically described. Moreover, the selection method of the weighting function in H∞ control design is explained in a simple manner. The performance and robustness of the proposed PSS are investigated in comparison with the conventional PSS by examining the case of a single machine connected to an infinite bus (SMIB) system. The simulation results are illustrated to ensure the effectiveness of t
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Aribowo, Widi. "TUNING FOR POWER SYSTEM STABILIZER USING DISTRIBUTED TIME-DELAY NEURAL NETWORK." SINERGI 22, no. 3 (2018): 205. http://dx.doi.org/10.22441/sinergi.2018.3.009.

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In this paper, a Distributed Time-Delay Neural Network (DTDNN) algorithm is used to control the Power System Stabilizer (PSS) parameters to find the reliable conditions. The proposed DTDNN algorithm apply tapped delay line memory to set the PSS. In this study, DTDNN consists of a DTDNN-identifier and a DTDNN-controller. The performance of the system with DTDNN-PSS controller is compared with a Recurrent Neural Network PSS (RNN-PSS) and Conventional PSS (C-PSS). The results show the effectiveness of DTDNN-PSS design, and superior robust performance for enhancement power system stability compare
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Djalal, Muhammad Ruswandi, and Herman HR. "BAT ALGORITHM IMPLEMENTATION TO OPTIMALLY DESIGN THE STABILIZER POWER SYSTEM ON THE SUPPA GENERATOR." SINERGI 23, no. 3 (2019): 233. http://dx.doi.org/10.22441/sinergi.2019.3.007.

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One of the control devices that can be used to strengthen the performance of PLTU Suppa is the installation of Power System Stabilizer. The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats to design PSS. Bat's algorithm will work based on the specified destination function, which is an Integral Time Absolute Error (ITAE). In this research, we will see the deviation response of velocity and the rotor angle of the suppa generator in case of interference. T
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