Academic literature on the topic 'Power System Stabilizer (PSS)'

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

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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2

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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3

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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4

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

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

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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6

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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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

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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9

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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10

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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