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Journal articles on the topic 'Power System Stabilizer (PSS)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Ghaffarzadeh, Navid. "Water Cycle Algorithm Based Power System Stabilizer Robust Design for Power Systems." Journal of Electrical Engineering 66, no. 2 (2015): 91–96. http://dx.doi.org/10.1515/jee-2015-0014.

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Abstract Power System Stabilizers (PSSs) are used to enhance damping of power system oscillations. This paper presents a new fast algorithm to develop PSS. According to this regard, Water Cycle Algorithm (WCA) is used to detect optimum Power System Stabilizer parameters. For this purpose, the design problem of PSS is formulated as an optimization problem and WCA by forming three subsidiary objective functions is employed to search for optimal power system stabilizer’s parameters to minimize the maximum overshoot and settling time together. In order to show the efficiency of the proposed algori

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2

Song, Hai Hui, De Tian, and Wei Long Wang. "A Power System Stabilizer for Wind Power Generation." Applied Mechanics and Materials 441 (December 2013): 178–81. http://dx.doi.org/10.4028/www.scientific.net/amm.441.178.

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The parameter setting of the power system stabilizer (PSS) is very important. This paper presents a PSS for wind power generation. We describe a method of simulation for PSS based on MATLAB Simulink, and research that how to build the mathematic model and get the parameters that are fitted to the real power plant generator Excitation System and PSS used the Real Time Digital Simulator (RTDS), then builds the model on RTDS, and does the simulated testing. It is shown that this PSS can significantly influence the contribution that a wind farm can make to network damping. The optimal parameters o

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3

Panosyan, Ara. "Optimization based power system stabilizer tuning." at - Automatisierungstechnik 69, no. 5 (2021): 376–88. http://dx.doi.org/10.1515/auto-2021-0012.

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Abstract The most cost-effective method to improve the damping of low frequency electromechanical oscillations in interconnected power systems is the use of Power System Stabilizers (PSS), which act as supplementary controllers in the generator excitation system. In general, the performance of a power system stabilizer depends on the proper tuning of its parameters, to ensure a positive contribution to the small signal stability of the power system, without negatively impacting its transient stability. This paper will discuss the different roles of the excitation system automatic voltage regul

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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

Hameed, Jawad Hamad, Wassan Adnan Hashim, and Nabil Derbel. "Impact of load variation on power system stability and performance of power system stabilizers: A case study of Peerdawd gas power station, Iraq." International Journal of Power Electronics and Drive Systems (IJPEDS) 14, no. 4 (2023): 2119. http://dx.doi.org/10.11591/ijpeds.v14.i4.pp2119-2133.

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<span lang="EN-US">Variable load on the station refers to the fluctuating load on a power plant due to erratic consumer demands. It is known to have an effect on the performance of power system stabilizers, particularly in damping inter-area oscillation. This paper examines how two power system stabilizer (PSS) models and various load conditions affect a power system's voltage and power stability. A dynamic model of the power system station, based on the real case study of the Peerdawd gas power station in north Iraq (PPGS), is utilized to investigate the response of both steady-state an

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6

Jawad, Hamad Hameed, Adnan Hashim Wasan, and Derbel Nabil. "Impact of load variation on power system stability and performance of power system stabilizers: A case study of Peerdawd gas power station, Iraq." Impact of load variation on power system stability and performance of power system stabilizers: A case study of Peerdawd gas power station, Iraq 14, no. 4 (2023): 2119–33. https://doi.org/10.11591/ijpeds.v14.i4.pp2119-2133.

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Variable load on the station refers to the fluctuating load on a power plant due to erratic consumer demands. It is known to have an effect on the performance of power system stabilizers, particularly in damping inter-area oscillation. This paper examines how two power system stabilizer (PSS) models and various load conditions affect a power system's voltage and power stability. A dynamic model of the power system station, based on the real case study of the Peerdawd gas power station in north Iraq (PPGS), is utilized to investigate the response of both steady-state and transient-state models:

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7

Pan, Feng Ping, Min Zhong, Yu Zhen Chen, et al. "Research on Governor-Side Power System Stabilizer." Advanced Materials Research 960-961 (June 2014): 1331–35. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1331.

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By analyzing the control principle of power system stabilizer (PSS),shows that the robustness of PPS is not ideal. Using the methods of state-space pole placement designed the governor-side power system stabilizer GPSS,and built a simplified model of the power system with simulink. The simulation experiment results made in the MATLAB shows that GPSS has good inhibitory effect of low-frequency oscillations.

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8

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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9

Chen, Ping, Hui Lan Jiang, and Kai Zeng. "A Self-Tuning Power System Stabilizer Design." Applied Mechanics and Materials 385-386 (August 2013): 1104–7. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1104.

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The traditional power system stabilizer (PSS) usually configures parameters in off-line circumstances and can’t adapt to the variations of power system operating modes well. Based on the prony algorithm, this paper presents a parameter self-tuning PSS. After identifying the system reduced model, it recognizes the real-time low frequency oscillation characteristics of system based on the online prony and uses the dominant mode frequency to complete self-tuning parameters of PSS. The simulation results in IEEE 4-11 system show that the self-tuning PSS based on prony algorithm can adapt to the va

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10

Abido, M. A., and Saleh M. Bamasak. "Oscillation Damping Enhancement via Coordinated Design of PSS and FACTS-Based Stabilizers in a Multi-Machine Power System Using PSO." International Journal of Swarm Intelligence Research 1, no. 3 (2010): 1–18. http://dx.doi.org/10.4018/jsir.2010070101.

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This paper investigates the enhancement of power system stability via coordinated design of Power System Stabilizers (PSSs), Thyristor Controlled Series Capacitor (TCSC)-based stabilizer, and Static Var Compensator (SVC)-based stabilizer in a multi-machine power system. The design problem of the proposed stabilizers is formulated as an optimization problem. Using the developed linearized power system model, the particle swarm optimization (PSO) algorithm is employed to search for optimal stabilizer settings that maximize the minimum damping ratio of all system oscillating modes. The proposed s

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11

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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12

Nocoń, Adrian, and Stefan Paszek. "Analysis of power system stabilizer Pareto optimisation-when taking into account the uncertainty of power system mathematical model parameters." Archives of Electrical Engineering 60, no. 4 (2011): 385–98. http://dx.doi.org/10.2478/v10171-011-0033-4.

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Analysis of power system stabilizer Pareto optimisation-when taking into account the uncertainty of power system mathematical model parameters The paper presents analysis of optimisation results of power system stabilizer (PSS) parameters when taking into account the uncertainty of mathematical model parameters of the power system (PS) elements. The Pareto optimisation was used for optimisation of the system stabilizer parameters. Parameters of five stabilizers of PSS3B type were determined in optimisation process with use of a genetic algorithm with tournament selection. The results obtained

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13

Veselý, Vojtech, and Thuan Quang. "Robust Power System Stabilizer VIA Networked Control System." Journal of Electrical Engineering 62, no. 5 (2011): 286–91. http://dx.doi.org/10.2478/v10187-011-0045-8.

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Robust Power System Stabilizer VIA Networked Control System The paper presents a novel power system stabilizer (PSS) design for a multivariable power system. The proposed design procedure is based on the linear matrix inequalities and stabilization of controlled system with time-varying time delay.

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14

Solomon, Endeshaw, Baseem Khan, Ilyes Boulkaibet, et al. "Mitigating Low-Frequency Oscillations and Enhancing the Dynamic Stability of Power System Using Optimal Coordination of Power System Stabilizer and Unified Power Flow Controller." Sustainability 15, no. 8 (2023): 6980. http://dx.doi.org/10.3390/su15086980.

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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 loa

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15

Izdebski, Michał, Robert Małkowski, and Piotr Miller. "New Performance Indices for Power System Stabilizers." Energies 15, no. 24 (2022): 9582. http://dx.doi.org/10.3390/en15249582.

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The subject of the article is issues related to innovative indices for power system stabilizers (PSSs). These new indices will be able to quickly show which PSS (among many other PSSs) is not working properly and that advanced optimization and simulation methods should be used to improve the PSS settings. The authors note the fact that the acceptance requirements for PSSs are different in various power systems. Moreover, the authors pay attention to the fact that transmission system operators (TSOs) often have different PSS requirements (tests) even though they work in the same large power sys

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16

Habbi, Hanan Mikhael, and Ahmed Alhamadani. "Power System Stabilizer PSS4B Model for Iraqi National Grid using PSS/E Software." Journal of Engineering 24, no. 5 (2018): 29. http://dx.doi.org/10.31026/j.eng.2018.05.03.

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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. Double input multiband Power system stabilizers (PSSs) were used to damp out low-frequency oscillations in power system. Among dual-input PSSs, PSS4B offers superior transient performance. Power system simulator for en

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17

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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18

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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19

Venkateswarlu, S., Janaki M, and Thirumalaivasan R. "Design of Power System Stabilizer using Flower Pollination Algorithm." International Journal of Engineering & Technology 7, no. 4.10 (2018): 177. http://dx.doi.org/10.14419/ijet.v7i4.10.20831.

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The Power System Stabilizer (PSS) is a controller which is used to mitigate the instability of Low Frequency Oscillations (LFOs) in power systems. The condition of oscillatory instability can also cause the loss of generator synchronism. It is observed that the damping provided by PSS depends on the proper selection of its parameters. This paper presents the systematic method for the selection of PSS parameters using evolutionary nature inspired optimization technique called Flower Pollination Algorithm (FPA). FPA is employed for selecting the optimal parameters of PSS so as to mitigate the lo

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20

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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21

Magaji, Nuraddeen, and Bashir Umar. "Application of Power System Stabilizer on Stability Studies." Applied Mechanics and Materials 793 (September 2015): 149–53. http://dx.doi.org/10.4028/www.scientific.net/amm.793.149.

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This paper discusses the effect of placing a power system stabilizer (PSS) at various generators for stability studies in a large power system. The damping control for the New-England 39-bus system was discussed. The effect of PSS in damping the electromechanical modes on different generator was studied. The PSS takes only a generator’s speed as input, and feeds it, after modification, to the voltage reference input of the generator’s excitation system. The results by placing a power system stabilizer on eight generators of the 39-bus system were found to be stable satisfactorily damped

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22

Ramadoni Syahputra, Agus Jamal ,. "Model Power System Stabilizer Berbasis Neuro-Fuzzy Adaptif." Semesta Teknika 14, no. 2 (2015): 139–49. http://dx.doi.org/10.18196/st.v14i2.543.

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Low frequency oscillations are detrimental to the goals of maximum power transfer and optimal power system security. A contemporary solution to this problem is the addition of power system stabilizers (PSS) to the automatic voltage regulators on the generators in the power system. For large scale power systems comprising of many interconnected machines, the PSS parameter tuning is a complex exercise due to the presence of several poorly damped modes of oscillation. The problem is further being complicated by continuous variation in power system operating conditions. This research proposes the

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Safari, Amin, Hossein Shahsavari, and Farshad Babaei. "Optimal design of controllers for power network connected SOFC using of multi-objective PSO." Serbian Journal of Electrical Engineering 15, no. 2 (2018): 145–63. http://dx.doi.org/10.2298/sjee170822001s.

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In this paper, we study the concept and forming manner of Solid Oxide Fuel Cell (SOFC) into the electrical system and then, its effect on small signal stability is investigated. The paper illustrates the essential module, mathematical analysis and small signal modeling of the SOFC joined to single machine system. The aim of this study is to reduce power oscillations in the presence of the SOFC with optimal stabilizer. The multi-objective Particle Swarm Optimization (MOPSO) technique has been used for designing a Power System Stabilizer (PSS) in order to improve the performance of the system. T

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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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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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26

Li, Ang. "Simulation and Application of Power System Stabilizer on Power System Transient Stability." Open Electrical & Electronic Engineering Journal 8, no. 1 (2014): 258–62. http://dx.doi.org/10.2174/1874129001408010258.

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This paper introduces the working principle and the mathematical model of additional power system excitation control-Power System Stabilizer (PSS). Through established a typical single machine-infinite bus power system simulation model, we simulate the synchronous generator’s transient operational characteristics following a severe disturbance. The simulation results show that the PSS can not only effectively increase the system damping, but also improve operational characteristics of the generator, considerably enhance power system dynamic and transient stability.

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Elmenfy, Tawfiq H. "Tuning of Power System Stabilizer (Unitrol D) in Benghazi North Power Plant." International Journal of Energy Optimization and Engineering 2, no. 2 (2013): 32–43. http://dx.doi.org/10.4018/ijeoe.2013040103.

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The use of power system stabilizers (PSSs) to damp power system swing mode of oscillations is of practical important. The authors purpose is to retune the power system stabilizer (PSS1A) parameters in Unitrol D produced by ABB– was installed in 1995 in Benghazi North Power Plants (BNPPs) at General Electricity Company of Libya (GECOL). Power systems are steadily growing with larger capacity, so the optimal values of the power system stabilizer (PSS1A) parameters should be retuned. A particle swarm optimization technique (PSO) is used to determine the parameters of the PSS off-line. The objecti

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28

Satya Dini, Hasna, and Rizki Pratama Putra. "Pengaturan Parameter Power System Stabilizer pada Pembangkit di Sistem IEEE 39 Bus." Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik 22, no. 1 (2023): 36–43. http://dx.doi.org/10.55893/jt.vol22no1.525.

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Semakin kompleksnya sebuah sistem kelistrikan menyebabkan permasalahan yang muncul menjadi semakin kompleks. Salah satu isu yang penting untuk dilakukan kajian adalah terkait kestabilan sistem, khususnya kestabilan sinyal kecil. Power System Stabilizer merupakan komponen dari sistem eksitasi pembangkit yang dapat memberikan solusi dari permasalahan kestabilan sinyal kecil jika dilakukan pengaturan yang tepat. Penelitian ini bertujuan untuk melakukan observasi parameter Power System Stabilizer untuk meningkatkan kestabilan sinyal kecil pada sistem IEEE 39 Bus. Power System Stabilizer dapat meni

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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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Dey, Prasenjit, Aniruddha Bhattacharya, and Priyanath Das. "Tuning of power system stabilizer for small signal stability improvement of interconnected power system." Applied Computing and Informatics 16, no. 1/2 (2017): 3–28. http://dx.doi.org/10.1016/j.aci.2017.12.004.

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This paper reports a new technique for achieving optimized design for power system stabilizers. In any large scale interconnected systems, disturbances of small magnitudes are very common and low frequency oscillations pose a major problem. Hence small signal stability analysis is very important for analyzing system stability and performance. Power System Stabilizers (PSS) are used in these large interconnected systems for damping out low-frequency oscillations by providing auxiliary control signals to the generator excitation input. In this paper, collective decision optimization (CDO) algori

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Ramandeep, Singh*1 &. Somit Dheer2. "FUZZY LOGIC POWER SYSTEM STABILIZER FOR IMPROVEMENT OF DYNAMIC PERFORMANCE OF MACHINE." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 4, no. 4 (2018): 80–86. https://doi.org/10.5281/zenodo.1143959.

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Small signal stability is the ability of the power system to maintain synchronism under small perturbations. The small signal dynamic stability of electric power system has been the subject of major theoretical and practical interest and it continue to grow in importance as the control requirements of the power plants become more sophisticated and demanding torque. The range of 0.2 to 2.5 Hz. the damping characteristics of synchronous machine’s rotor oscillations is a function of system structures, operating condition and control structures. The power system stabilizers are widely used 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 Faisal Faisal. "Desain Optimal Power System Stabilizer Pada System Kelistrikan Sulselrabar Menggunakan Bat Algorithm." Majalah Ilmiah Teknologi Elektro 17, no. 1 (2018): 148. http://dx.doi.org/10.24843/mite.2018.v17i01.p20.

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Masalah penggunaan Power System Stabilizer (PSS) pada eksitasi generator adalah bagaimana menentukan parameter PSS yang optimal. Untuk mengatasi masalah tersebut, penulis menggunakan metode cerdas berbasis algoritma kelelawar untuk mendesain PSS. Algoritma Kelelawar adalah algoritma yang bekerja berdasarkan perilaku kelelawar dalam mencari sumber makanan. Korelasi dengan penelitian ini adalah, sumber makanan yang dicari oleh kelelawar merepresentasikan sebagai parameter PSS yang akan dioptimasi. Algoritma kelelawar akan bekerja berdasarkan fungsi tujuan yang sudah ditentukan, yaitu Integral Ti

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Djalal, Muhammad Ruswandi, Muhammad Yusuf Yunus, Herman Nawir, and Andi Imran. "Optimal Design of Power System Stabilizer In Bakaru Power Plant Using Bat Algorithm." JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) 1, no. 2 (2017): 7. http://dx.doi.org/10.21070/jeee-u.v1i2.1017.

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Abstract - The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats based algorithm to design PSS. Bat Algorithm is an algorithm that works based on bat behavior in search of food source. Correlation with this research is, food sources sought by bats represent as PSS parameters to be optimized. Bat's algorithm will work based on a specified destination function, namely Integral Time Absolute Error (ITAE). In this research will be seen the deviation of velocity a

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Butti, Dasu, Siva Kumar Mangipudi, and Srinivasarao Rayapudi. "Optimal Design of Modified Power System Stabilizer Using Multi Objective Based Bio Inspired Algorithms." International Journal of Energy Optimization and Engineering 7, no. 4 (2018): 17–55. http://dx.doi.org/10.4018/ijeoe.2018100102.

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In this article, a multi objective and a novel objective based Power System Stabilizer (PSS) design is proposed for a modified Heffron - Philiphs model (MHP) using bio inspired algorithms. A conventional Heffron – Philphs (CHP) model is developed by taking infinite bus voltage as reference, whereas MHP model is developed by taking transformer high voltage bus voltage as reference, which makes independent of external system data for the PSS design. PSS parameters are optimized using differential evolution (DE) algorithm and Firefly (FF) algorithm to obtain better dynamic response. The proposed

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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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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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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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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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Sulaiman, Marizan, Hayfaa Mohammed Hussein, Rosli Omar, and Zulhisyam Salleh. "Dynamic Stability Analysis of Generator with Power System Stabilizers Using Matlab Simulink." Indonesian Journal of Electrical Engineering and Computer Science 2, no. 3 (2016): 501. http://dx.doi.org/10.11591/ijeecs.v2.i3.pp501-509.

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<p> The dynamics in single machine been connected to an infinite power system bus is analyzed in this paper. This analysis requires certain amount of system modeling level. The main components of the system models are excitation system, synchronous machine and the Power System Stabilizer. The Simulink /Matlab are used as the programming tool for analyzing this system performance. Design optimization arobust PSS based on Genetic Algorithm (GA) approach has been improvement. A proper design is required for this Power System Stabilizer (PSS) performance using the Particle Swarm Optimization

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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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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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Nocoń, Adrian, and Stefan Paszek. "A Comprehensive Review of Power System Stabilizers." Energies 16, no. 4 (2023): 1945. http://dx.doi.org/10.3390/en16041945.

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This paper presents a current literature review (from the years 2017–2022) on issues related to the application of power system stabilizers (PSSs) for damping electromechanical swings in power systems (PSs). After the initial selection of papers found in the databases used, over 600 publications were qualified for this review, of which 216 were subjected to detailed analysis. In the review, issues related to the following problems are described: applications of classic PSSs, applications of new stabilizer structures based on new algorithms (including artificial intelligence), development of ne

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Jamlaay, Marselin. "PENGOPTIMALAN STABILITAS PEMBANGKIT MELALUI KONTROL ARUS EKSITASI MENGGUNAKAN PSS (POWER SYSTEM STABILIZER)." JURNAL SIMETRIK 13, no. 1 (2023): 656–60. http://dx.doi.org/10.31959/js.v13i1.1497.

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Gangguan dan perubahan beban secara mendadak baik karena pengalihan beban atau penambahan beban menyebabkan perubahan parameter pada Sistem Tenaga Listrik yang begitu cepat. Hal ini berdambak pada mesin pembangkit yang terhubung ke sistem karena harus menjaga kestabilan putaran dan tegangan. Jika mesin pembangkit mengalami osilasi maka harus dibangun sistem yang dapat mengurangi dampak osilasi tersebut agar pembangkit tetap berada dalam kondisi stabil. PSS (Power System Stabilizer) merupakan salah satu perangkat kontrol tambahan untuk menjaga kestabilan mesin pembangkit (prime mover dan genera

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Zhu, Xueqin, Yiqiang Yang, Jiangtao Fu, Wenrui Bai, and Xiaolin Su. "Negative Damping Mechanism Analysis of Power System Stabilizer Based on Damping Torque." Journal of Physics: Conference Series 2320, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1742-6596/2320/1/012004.

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Abstract Power system stabilizer plays an important role in suppressing the low frequency oscillations, but a PSS with poorly tuned parameters may produce negative damping and aggravate the system oscillation. The purpose of this paper is to study the mechanism of damping of a PSS in multi machine system and to analyze whether the PSS has produced negative damping. This paper adopts Park model for analysis. According to the concepts of complex frequency and generalized phasor, the correlation between the damping torque phasor and the real part of the complex eigenvalue is studied. With the aux

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ALLAEV, Kahramon R., and Tokhir F. MAKHMUDOV. "Synthesizing a Power System Stabilizer Using the Fuzzy Logic and Neural Network Methods." Elektrichestvo, no. 10 (2021): 22–30. http://dx.doi.org/10.24160/0013-5380-2021-10-22-30.

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Power systems are large non-linear systems that are often subject to low frequency electromechanical oscillations with a frequency of 0.5–2.5 Hz. Power system stabilizers (PSS) are commonly used as effective and economically efficient means to dampen electromechanical oscillations of generators and increase the stability of power systems. PSS can increase the power transmission stability limits by adding a stabilizing signal through the channels of the automatic excitation control system. The article presents the results of training a neural network based on which a fuzzy logic PSS is obtained

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Rahman, Md Lutfur, and Md Abu Hena Shatil. "Modeling and Simulation of a Synchronous Generator with Rotor Angle Stability and Solve Inter Area Mode of Oscillation in Power System using Power System Stabilizer(PSS)." AIUB Journal of Science and Engineering (AJSE) 18, no. 1 (2019): 35–43. http://dx.doi.org/10.53799/ajse.v18i1.20.

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Power System stabilizers are a form of supplementary control that is used to provide additional damping to the inter area mode oscillations or to stabilize a generator whose voltage regulator gain is such that it may result in negatively damped machine-to-system oscillations under certain conditions. It has seen observed that the damping of these small power oscillations can be improved by leading back appropriate stabilizing signals to the input of the gain’s exciter. Some input signals that have been considered in the research are slip speed, accelerating power, frequency. In this manuscript

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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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Bayu, Endeshaw Solomon, Baseem Khan, Zaid M. Ali, Zuhair Muhammed Alaas, and Om Prakash Mahela. "Mitigation of Low-Frequency Oscillation in Power Systems through Optimal Design of Power System Stabilizer Employing ALO." Energies 15, no. 10 (2022): 3809. http://dx.doi.org/10.3390/en15103809.

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Low-frequency oscillations are an inevitable phenomenon of a power system. This paper proposes an Ant lion optimization approach to optimize the dual-input power system stabilizer (PSS2B) parameters to enhance the transfer capability of the 400 kV line in the North-West region of the Ethiopian electric network by the damping of low-frequency oscillation. Double-input Power system stabilizers (PSSs) are currently used in power systems to damp out low-frequency oscillations. The gained minimum damping ratio and eigenvalue results of the proposed Ant lion algorithm (ALO) approach are compared wit

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Khujaev, Abumuslim, Chockalingam Aravind Vaithilingam, Ahmad Adel Alsakati, and Jamal Alnasseir. "Stability enhancement of power system with the implementation of power system stabilizer PSS and excitation system IEEE Type-1." Journal of Physics: Conference Series 2120, no. 1 (2021): 012022. http://dx.doi.org/10.1088/1742-6596/2120/1/012022.

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Abstract Stability of power system is an ability of an electric power system that reaches its stable condition after fault happens in its network. The system is unstable when one generator loses its stable synchronism performance. This paper investigates the transient stability of an IEEE 9-bus system during faults that happen in different bus locations. Additionally, the analysis contributes to the integration of the exciter IEEE type-1 for synchronous generator and integration of power system stabilizer (PSS) to improve the power angle stability in the power system. The fault at bus 4 has th

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