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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 algorithm, a comparison between WCA and without PSS condition has been done, and the results of proposed algorithm show that it detects optimum parameters in reasonable computation time to increase the power system stability.
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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 regulator and the power system stabilizer in improving the transient stability and the oscillatory stability of the power system. The focus of the paper will be on the tuning methodology for power system stabilizers, which can ensure a robust performance of the PSS over a wide range of frequencies and operating conditions. In addition, mathematical optimization techniques will be introduced into the tuning process to improve the efficiency and accuracy of the tuning process.
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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 of PSS can be obtained quickly through the approach of parameter optimization and it is a high efficiency and practicable parameter setting method. Performance capabilities superior to those provided by synchronous generation with automatic voltage regulator and PSS control are demonstrated.
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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 (WOA)-based PSS and a conventional PSS. The obtained results demonstrate the effective performance of the proposed OWOA-based PSS for power oscillation damping.
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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 (WOA-based PSS), and the conventional PSS. The obtained results show that the OWOA-based PSS is more efficient in power oscillation damping than the other methods, including the WOA-based PSS. Overall, the OWOA-based PSS can be considered as a potential solution to enhance the stability of power systems by mitigating power oscillations in generator rotors. However, further studies and experiments may be required to validate all methods and compare them to ensure their effectiveness and efficiency.
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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 variations of power system operating modes and restrain low frequency oscillation system better, then improve the stability of the system.
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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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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 algorithm, for tuning PSS parameters. From the analysis results can be concluded, the performance performance of generator barru increased with the installation of Power System Stabilizer with optimal PSS parameter, with parameters respectively Kpss = 44.0828, T1 = 0.0284, T2 = 0.0146, T3 = 0.7818, T4 = 1.2816.
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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 system. The article reviews the requirements for the PSSs used by TSOs of various power systems. The need to supplement the required tests with new qualitative indices is demonstrated. In the paper, new performance indices are proposed to improve the evaluation of the PSS and to check the desired performance of the stabilizer. These indices are derived from the active power frequency response characteristic with PSS and without PSS (PSS ON and PSS OFF). Additionally, the new PSS indices allow the graphical visualization of the properties of all synchronous generators equipped with the PSS in a predefined area on a single 3D graph. Such visualization can be used to quickly detect weak points of the power system.
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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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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 were assessed from the point of view of selecting the criterion function. The analysis of influence of the parameter uncertainty on the quality of the results obtained was performed.
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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 low frequency oscillations of generator rotor and thereby oscillatory instability. The system consists of Single Machine with PSS which is connected to Infinite Bus (SMIB) through a transmission line. The transient simulation validates the performance of the system with optimized PSS. The results show that PSS with FPA optimized parameters provides fast and stable response.
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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 PSS model based on adaptive neuro-fuzzy for designing robust power system stabilizers for a multi machine system. Simulations were carried out using several fault tests at transmission line on a Two-Area Multimachine Power System. Simulation is done by using Matlab-Simulink software. The result shows that power transfer response using the model is more robust than Delta w PSS, especially for single phase to ground fault.
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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 objective is to damp the local and inter-area modes of oscillations that occur following power system disturbances. The retuned power system stabilizer (PSS1A) can cope with large disturbance at different operating points and has an enhanced power system stability, The MATLAB package with SIMULINK is used for the design and simulations.
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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 stabilizers are evaluated on a two-area weakly-connected multi-machine power system with unstable interarea oscillation mode. The nonlinear simulation results and eigenvalue analysis show the effectiveness of the proposed coordinated stabilizers in damping low frequency power system oscillations and enhancing the system stability.
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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 loading cases. Eigenvalues gained from an ant lion approach-based UPFC with a PSS and a base case system are compared to examine the robustness of the ALO method for various loading conditions. Thus, this paper addresses the mechanism regarding the power system dynamic stability of transmission lines by integrating the optimal size of a PSS and UPFC into the power system. Therefore, the main contribution of this manuscript is the optimal coordination of a power system stabilizer, power oscillation damper and unified power flow using ant lion optimization for the mitigation of low-frequency oscillation.
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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 with the uncontrolled method, conventional PSS, Whale optimization algorithm (WOA), and grasshopper optimization algorithm (GOA). Simulation using MATLAB with three different operating conditions, namely light load (20%), medium load (50%) and high load (100%). From the simulation using MATLAB with SMIB modeling, it was found that the application of the DOA method on PSS has the ability to reduce the average undershoot value by 28.16% and reduce the average undershoot value to 65.57% compared to the conventional PSS method.
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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 controller significantly reduces the rule base size due to its adaptively and improves its performance. This statement is confirmed by simulation results of a three-machine infinite-bus system under different operating points.
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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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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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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) algorithm, a meta-heuristic approach based on the decision making approach of human beings, has been applied for the optimal design of PSS. PSS parameters are tuned for the objective function, involving eigenvalues and damping ratios of the lightly damped electromechanical modes over a wide range of operating conditions. Also, optimal locations for PSS placement have been derived. Comparative study of the results obtained using CDO with those of grey wolf optimizer (GWO), differential Evolution (DE), Whale Optimization Algorithm (WOA) and crow search algorithm (CSA) methods, established the robustness of the algorithm in designing PSS under different operating conditions.
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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 engineering (PSS/E) software was adopted to test and evaluate the dynamic performance of PSS4B model on Iraqi national grid. The results showed that after installing the PSS in a specific plant the oscillation of rotor angle, bus frequency, speed, power flow is better than without PSS during the disturbances that occurred during the simulations. All the PSS/E simulation and tests were done in the National dispatch center (NDC) laboratory, Ministry of Electricity.
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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. Several simulation scenarios have been conducted to show the effectiveness of the proposed PSS in damping of local and interarea modes of oscillation of one-machine infinite-bus system. The study also contains comparison between the proposed technique and conventional PSS (CPSS).
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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. Two objective functions are regarded for the design of PSS parameters in order to maximize the damping factor and the damping ratio of the system. To evaluate the efficiency of the proposed optimal stabilizers, four scenarios are considered and then, its results have been analyzed. The proposed PSS tuning technique can be applied to a multi-machine system connected to the SOFC. The efficiency of MOPSO based proposed PSS on the oscillations the system related to SOFC is illustrated by time-domain simulation and also, the comparison of the MOPSO based proposed PSS with the PSS based-single objective method has been prepared.
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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 compared to other with different cases.
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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 for increasing the stability of electric power systems. The synchronous generator rotor speed deviation and acceleration were taken as input data for the fuzzy logic controller. These variables have a significant effect on damping the rotor's electromechanical oscillations. The characteristics of the power system equipped with the proposed fuzzy logic based PSS are compared with its characteristics with a PSS with non-optimized parameters and without a PSS.
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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 Time Absolute Error (ITAE). Pada penelitian ini akan dilihat respon deviasi kecepatan dan sudut rotor setiap generator, bila terjadi gangguan di bakaru generator. Hasil analisa menunjukkan, sistem tanpa kontrol menghasilkan osilasi overshoot yang besar, dan setelah tambahan peralatan kontrol PSS osilasi tersebut dapat diredam. Sehingga overshoot dan settling time masing - masing generator dapat dikurangi dan generator dapat dengan cepat menuju ke kondisi steady state.
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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 large perturbation. A cubic Hermite interpolation technique is employed to determine the smoothest possible curve that passes through its data set obtained by the GA. The effectiveness and robustness of the designed stabilizer is investigated and compared with conventional PSS. The simulation results show that the GA stabilizer (GAPSS + GAExciter) are able to provide better damping over a wide operating range with large perturbation and improve the overall systems’ performance.
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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 and rotor angle of each generator, in case of disturbance in bakaru generator. The analysis results show that the uncontrolled system produces a large overshoot oscillation, and after the addition of PSS oscillation control equipment can be muted. So that the overshoot and settling time of each generator can be reduced and the generator can quickly go to steady state condition.
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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 conventional PSSs’ damping controller. The Proposed NFC is designed to improve the stability of SMIB, an interconnected IEEE 3-machine, 9-bus power system, and an interconnected two-area 10-machine system of 39-bus New England IEEE test power system under multiple operating conditions. The proposed NFC damping controller performance is compared with the conventional PSS damping controller to confirm the capability of the proposed stabilizer and realize an improved system stability enhancement. The conventional PSSs’ design problem is transformed into an optimization problem where an eigenvalue-based objective function is developed and applied to design the SMIB-PSS and the interconnected multi-machine PSSs. The time-domain phasor simulation was done in the SIMULINK domain, and the simulation results show that the transient responses of the system rise time, settling time, peak time, and peak magnitude were all impressively improved by an acceptable amount for all the test system with the proposed NFC stabilizer. Thus, the NFC was able to effectively control the LFOs and produce an enhanced performance compared to the conventional PSS damping controller. Similarly, the result validates the effectiveness of the proposed NFC damping controller for LFO control, which demonstrates more robustness and efficiency than the classical PSS damping controller. Therefore, the application and performance of the NFC has appeared as a promising method and can be considered as a remarkable method for the optimal design damping stabilizer for small and large power systems.
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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 method is tested on various operating conditions under different typical disturbances to test efficacy and robustness. Simulation results prove that better dynamic performance is obtained with the proposed stabilizers over the fixed gain stabilizers. This method of tuning would become a better alternative to conventional stabilizers as conventional stabilizers require retuning of parameters mostly when operating condition changes, which is a time-consuming process and laborious. Eigen value analysis is also done to prove the efficacy of the proposed method over the conventional methods.
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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 the proposed PSS.
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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 the numerous intelligent optimization methods is proposed in this paper. It is appears to aid the system stability by optimizing the PSS parameters tuning. The PSS with the BA approach is labelled as BA-PSS and being tested on single machine infinite bus system (SMIB) in Matlab/Simulink environment. BA-PSS performance is compared with CPSS as to validate the ability of the proposed method to achieve great performance in power system stability enhancement. Different type of mechanical input is being injected into the system and the result shows that BA-PSS is capable to optimize the parameters tuning of PSS. BA-PSS also improved the unstable or poorly stable modes as the system achieve the stability with lower overshoot and less time settling. The superior response of BA-PSS controller proved the ability of BA approach in which is capable to solve the lack in CPSS with better performance in enhancing the system stability.
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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. The results of the analysis show that the uncontrolled system produces oscillation overshoot speed of -0.02437 pu to 0.006517 pu, conventional PSS about -0.02186 pu to 0.004623 pu and with PSS Bat overshoot of -0.01507 pu up to 0.0006223 pu. A loop for rotor angle response shows good results with reduced oscillation and rapidly leading to steady-state conditions. From the analysis results can be concluded, the performance of suppa generator is increased with the installation of Power System Stabilizer with optimal PSS parameters, with parameters respectively Kpss = 32.2077, T1 = 0.0173, T2 = 0.0401, T3 = 0.9174, T4 = 1.2575.
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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 design, and superior robust performance for enhancement power system stability compared to Conventional PSS with different cases.
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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 algorithm with a carefully selected objective function. The eigenvalue analysis and the simulation results obtained for internal and external disturbances for a wide range of operating conditions show the effectiveness and robustness of the proposed BFAPSS. Further, the time domain simulation results when compared with those obtained using conventional PSS and Genetic Algorithm (GA) based PSS show the superiority of the proposed design.
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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 generator). Oleh karena itu pada penelitian ini digunakan PSS dengan mengatur sudut eksitasi dan variabel. Dengan demikian PSS dapat dioptimalkan untuk meredam osilasi ketika diberikan perubahan beban. Diberikan penambahan beban dan pengurangan beban untuk menguji keoptimalan PSS. Hasil menunjukan PSS mampu meredam osilasi lebih cepat jika dibandingkan dengan sistem tanpa PSS. Jika menggunakan PSS waktu stabil generator 8 detik lebih cepat dibandingkan tanpa PSS. Tujuan dari penelitian ini adalah untuk mengetahui peran eksitasi dan governor pada pembangkit dalam merespon perubahan tegangan dan frekuensi sistem.
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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-linear simulation in the presence of noise confirms the robustness and the superiority of the IT2FLCPSS.
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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 new methods for tuning PSSs, and operation of PSSs in PSs with high power generation by renewable sources. Describing individual papers, the research methods used by the authors (simulations, measurement methods, and a combination of both) are specified, attention is paid to the waveforms presented in the papers, and reference is made to the types of PSs in which PSSs (large multimachine, reflecting real systems, smaller standard multimachine New-England type, and simplest single-machine) operate. The tables contain detailed comments on the selected papers. The final part of the review presents general comments on the analyzed papers and guidelines for future PS stability studies.
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Sambariya, Dhanesh K., and Rajendra Prasad. "Design of Optimal Proportional Integral Derivative Based Power System Stabilizer Using Bat Algorithm." Applied Computational Intelligence and Soft Computing 2016 (2016): 1–22. http://dx.doi.org/10.1155/2016/8546108.
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The design of a proportional, derivative, and integral (PID) based power system stabilizer (PSS) is carried out using the bat algorithm (BA). The design of proposed PID controller is considered with an objective function based on square error minimization to enhance the small signal stability of nonlinear power system for a wide range of operating conditions. Three benchmark power system models as single-machine infinite-bus (SMIB) power system, two-area four-machine ten-bus power system, and IEEE New England ten-machine thirty-nine-bus power system are considered to examine the effectiveness of the designed controller. The BA optimized PID based PSS (BA-PID-PSS) controller is applied to these benchmark systems, and the performance is compared with controllers reported in literature. The robustness is tested by considering eight plant conditions of each system, representing the wide range of operating conditions. It includes unlike loading conditions and system configurations to establish the superior performance with BA-PID-PSS over-the-counter controllers.
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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 (PSO) to archieve this. Then the implemented of the model and response of the dynamic system is been analyzed. The designed without PSS showed an unacceptable system response since as shown in the simulation results, system response with PSS proven to have improvements and PSS succeeding in stabilizing an unstable system. Therefore this leads to stability of the performance of the generator.</p>
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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 auxiliary of Park equivalent circuits, the damping torque provided by the excitation system is separated from the electrical torque phasor. Then, the damping torque coefficient of the PSS is defined as an indicator of the damp effect of the stabilizer. Finally, the simulation results of single machine infinite bus system and 4-machine system demonstrate the validation of the proposed method for evaluating the damping effect of PSS on the system.
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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 the highest amplitude in which it increases to 77.58 degrees for the power angle of Synchronous Generators (SGs). The absence of PSS showed that the existing system oscillated and it is unstable. However, the integration of PSS enables the system to damp the oscillations of power angle and reduce the settling time to 5.69 seconds during the fault at bus 4. Moreover, the PSS is connected to SGs through the excitation system to improve the stability of the system in relative power angle of SGs, speed deviation, and electrical power of SGs. Hence, the integration of PSS and excitation system enhances the transient stability of the power system.
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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 with the existing conventional system to get better efficiency at various loading conditions. Additionally, the proposed Ant lion optimization approach requires minimal time to estimate the key parameters of the power oscillation damper (POD). Consequently, the average time taken to optimally size the parameters of the PSS controller was 14.6 s, which is pretty small and indicates real-time implementation of an ALO developed model. The nonlinear equations that represent the system have been linearized and then placed in state-space form in order to study and analyze the dynamic performance of the system by damping out low-frequency oscillation problems. Finally, conventional fixed-gain PSS improves the maximum overshoot by 5.2% and settling time by 51.4%, but the proposed optimally sized PSS employed with the ALO method had improved the maximum overshoot by 16.86% and settling time by 78.7%.
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Abdul Kareem, Hiba Zuhair, Husam Hasan Mohammed, and Ameer Aqeel Mohammed. "ROBUST TUNING OF POWER SYSTEM STABILIZER PARAMETERS USING THE MODIFIED HARMONIC SEARCH ALGORITHM." IIUM Engineering Journal 22, no. 1 (2021): 47–57. http://dx.doi.org/10.31436/iiumej.v22i1.1276.
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Power System Stabilizer is used to improve power system low frequency oscillations during small disturbances. In large scale power systems involving a large number of generators, PSSs parameter tuning is very difficult because of the oscillatory modes’ low damping ratios. So, the PSS tuning procedure is a complicated process to respond to operation condition changes in the power system. Some studies have been implemented on PSS tuning procedures, but the Harmony Search algorithm is a new approach in the PSS tuning procedure. In power system dynamic studies at the first step system total statues is considered and then the existed conditions are extended to the all generators and equipment. Generators’ PSS parameter tuning is usually implemented based on a dominant operation point in which the damping ratio of the oscillation modes is maximized. In fact the PSSs are installed in the system to improve the small signal stability in the system. So, a detailed model of the system and its contents are required to understand the dynamic behaviours of the system. In this study, the first step was to linearize differential equations of the system around the operation point. Then, an approach based on the modified Harmony Search algorithm was proposed to tune the PSS parameters. ABSTRAK: Penstabil Sistem Kuasa digunakan bagi meningkatkan sistem kuasa ayunan frekuensi rendah semasa gangguan kecil. Dalam sistem kuasa berskala besar yang melibatkan sebilangan besar penjana, penalaan parameter PSS adalah sangat sukar kerana nisbah corak ayunan redaman yang rendah. Maka, langkah penalaan PSS adalah satu aliran rumit bagi mengubah keadaan operasi sistem kuasa. Beberapa kajian telah dilaksanakan pada prosedur penalaan PSS, tetapi algoritma Harmony Search merupakan pendekatan baru dalam prosedur penalaan PSS. Dalam kajian sistem kuasa dinamik ini, langkah pertama adalah dengan memastikan status total sistem dan keadaan sedia ada diperluaskan kepada semua penjana dan peralatan. Parameter penalaan generator PSS biasa dilaksanakan berdasarkan titik operasi yang dominan di mana nisbah corak ayunan redaman dimaksimumkan. Malah PSS dipasang di dalam sistem bagi meningkatkan kestabilan isyarat kecil dalam sistem. Oleh itu, model terperinci sistem dan kandungannya diperlukan bagi mengenal pasti perihal sistem dinamik. Kajian ini, dimulai dengan melinear sistem persamaan pembezaan pada titik operasi. Kemudian, pendekatan berdasarkan algoritma Harmony Search yang diubah suai telah dicadangkan bagi penalaan parameter PSS.
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Chaib, Lakhdar, Abdelghani Choucha, Salem Arif, Hatim G. Zaini, Attia El-Fergany, and Sherif S. M. Ghoneim. "Robust Design of Power System Stabilizers Using Improved Harris Hawk Optimizer for Interconnected Power System." Sustainability 13, no. 21 (2021): 11776. http://dx.doi.org/10.3390/su132111776.
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In this present work, a new metaheuristic method called a Harris hawk optimizer (HHO) is applied to achieve the optimal design of a power system stabilizer (PSS) in a multimachine power system. Several well-known chaos maps are incorporated into the HHO to form a chaotic HHO (CHHO) with the aim of improving static operators and enhancing global searching. To assess the CHHO performance, exhaustive comparison studies are made between anticipated chaotic maps in handling unconstrained mathematical problems. At this moment, The PSS design problem over a wide permutation of loading conditions is formulated as a non-linear optimization problem. The adopted objective function defines the damping ratio of lightly damped electromechanical modes subject to a set of constraints. The best PSS parameters are generated by the proposed CHHO. The applicability of the proposed CHHO based on PSS is examined and demonstrated on a 10-generator and 39-bus multimachine power system model. The performance assessments of the CHHO results are realized by a comparative study with HHO through extensive simulations along with further eigenvalue analysis to prove its efficacy. The simulation results convincingly demonstrate the high performance of the proposed CHHO-PSS under various operating scenarios.
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Kim, Jong Ju, and June Ho Park. "A Novel Structure of a Power System Stabilizer for Microgrids." Energies 14, no. 4 (2021): 905. http://dx.doi.org/10.3390/en14040905.
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This paper proposes a novel structure of a power system stabilizer (PSS) to improve the stability of synchronous generators (SGs) in microgrids. Microgrids are relatively vulnerable in terms of stability due to their small size and low inertia. The rotational inertia and voltage support of SGs are highly suitable for getting over the vulnerabilities of microgrids, but there exist weaknesses in low-frequency oscillations (LFOs) and limitations of synchronization due to electromagnetic characteristics. Therefore, we study how to accommodate the features of microgrids in the PSS of SGs and further enhance present advantages. The PSS proposed in this paper not only damps out LFOs by conventional lead-lag compensation but also provides additional damping torque according to the magnitude of the perturbation using a synchronous impedance characteristic (SIC). The proposed Lyapunov energy-function-based control strategy can also increase the synchronizing power of the SG to improve transient stability. For performance verification, we use parameters obtained by the particle swarm optimization (PSO) algorithm to compare the existing PSS with the proposed one and analyze them. The effect of the proposed micro-power system stabilizer (μPSS) is analyzed through frequency response analysis, and finally, small-signal stability analysis and the performance of transient stability are verified by time-domain simulation (TDS) on MATLAB/Simulink.
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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, we will use an establish approach to obtain a preliminary design for a power system stabilizer with slip speed as the feedback signal.
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Manuaba, Ida Bagus Gede, Putu Arya Mertasana, Made Mataram, and Cok Gede Indra Partha. "Improving Performance Stability of Power System Java-Bali Interconnection with PIDPSS3B and PIDSVC Controllers." Journal of Electrical, Electronics and Informatics 1, no. 1 (2017): 17. http://dx.doi.org/10.24843/jeei.2017.v01.i01.p04.
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Modern electric power system that many its dynamic equipment continuously vulnerable to internal and external disturbances. On the condition of the disorder, it often happen oscillation in each part or between parts of the electrical system is interconnected. These oscillations become a major problem for the stability of the power system. Modern electrical control systems require a sustainable balance between power generation and demand varying loads. Power System Stabilizer and Static Var Compensator is a control device that is used to dampen low frequency oscillations and to provide additional feedback signal to stabilize the system. To increase the damping, system equipped with PSS generator that provides additional feedback to stabilize the signal in the excitation system. It is generally that the machine parameters changed by the load, so the dynamic behavior of the different machines at different operating conditions. Design PIDPSS3B power system stabilizer and PIDSVC controller used aim to get performance and optimum damping. Design and optimization of the proposed has the ability to optimally dampen and suppress errors are minimal.
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Linda, M. Mary, and N. Kesavan Nair. "Optimal design of multi-machine power system stabilizer using robust ant colony optimization technique." Transactions of the Institute of Measurement and Control 34, no. 7 (2011): 829–40. http://dx.doi.org/10.1177/0142331211421520.
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In this paper, a multi-objective design of the multi-machine Power System Stabilizer (PSS) using Ant Colony Optimization (ACO) is proposed. The fine tuning of PSS parameters problem is converted to an optimization problem that is resolved by an ACO-based dominant metaheuristic technique. The strength of the proposed ACO-based PSS is tested on two different multi-machine power systems under diverse operating conditions. The outcomes of the proposed ACOPSS are compared with the Conventional PSS, Genetic Local Search-based PSS, Chaotic Optimization-based PSS and Particle Swarm Optimization-based PSS (PSOPSS). From the simulation results it can be inferred that the ACOPSS reduces the settling time and maximum overshoot more than the other techniques.