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Relevant bibliographies by topics / Conventional Power System Stabilizer (CPSS)

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Academic literature on the topic 'Conventional Power System Stabilizer (CPSS)'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Conventional Power System Stabilizer (CPSS)"

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

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

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

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

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

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

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

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

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

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

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

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

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Book chapters on the topic "Conventional Power System Stabilizer (CPSS)"

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Istanbuly, Mohammad, M.-Ramez Halloum, and Basanta K. Panigrahi. "Dynamic Stability Improvement of Power System Utilizing Fuzzy Logic and Compare It with Conventional Stabilizer." In Lecture Notes in Networks and Systems. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0695-3_16.

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Agbenyo Folly, Komla, Severus Panduleni Sheetekela, and Tshina Fa Mulumba. "Power System Small-Signal Stability Enhancement Using Damping Controllers Designed Based on Evolutionary Algorithms." In Genetic Algorithms [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.105591.

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This chapter is concerned with the stability enhancement of a power system using power system stabilizers (PSSs) designed based on four evolutionary algorithms (EAs), namely, genetic algorithms (GAs), breeder genetic algorithm (BGA), population-based incremental learning (PBIL), and differential evolution (DE). GAs have been widely applied in many fields of engineering and science and have shown to be a robust and powerful adaptive search algorithm. However, GAs are known to have several limitations. To deal with these limitations, many variant forms of GAs have been suggested often tailored t

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I. Made, Ginarsa, Nrartha I. Made Ari, Muljono Agung Budi, and Ardana I. Putu. "Application of adaptive neuro-fuzzy inference system control in power systems." In Adaptive Neuro-Fuzzy Inference System as a Universal Estimator. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1004104.

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An adaptive neuro-fuzzy inference system (ANFIS) is developed by combining neural-networks and fuzzy system. The ANFIS model uses the advantages possessed by the properties of neural networks and its decision making is based on fuzzy inference. The ANFIS parameters are obtained and updated by training processes. The ANFIS consists of two inputs (by Gaussian or other membership function) and an output (with constant or linear membership function). The ANFIS control is implemented by building a power system stabilizer (PSS) in power systems. The PSS function is to produce an additional stabilizi

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Conference papers on the topic "Conventional Power System Stabilizer (CPSS)"

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Ba-muqabel, Ahmed A., and Mohammad A. Abido. "Review of conventional power system stabilizer design methods." In 2006 IEEE GCC Conference. IEEE, 2006. http://dx.doi.org/10.1109/ieeegcc.2006.5686203.

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Hassan, Mohammed osman, S. J. Cheng, and Zakaria Anwar Zakaria. "Optimization of conventional power system stabilizer to improve dynamic stability." In 2010 5th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2010. http://dx.doi.org/10.1109/iciea.2010.5517048.

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Shah, B. "Comparative Study of Conventional and Fuzzy Based Power System Stabilizer." In 2013 International Conference on Communication Systems and Network Technologies (CSNT 2013). IEEE, 2013. http://dx.doi.org/10.1109/csnt.2013.118.

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Kothari, M. L. "Adaptive conventional power system stabilizer based on artificial neural network." In 3rd International Conference on Advances in Power System Control, Operation and Management (APSCOM 95). IEE, 1995. http://dx.doi.org/10.1049/cp:19951256.

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Babaei, Ebrahim, and Vahid Hosseinnezhad. "A QPSO based parameters tuning of the conventional power system stabilizer." In Energy Conference (IPEC 2010). IEEE, 2010. http://dx.doi.org/10.1109/ipecon.2010.5697041.

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Paul, S., and P. K. Roy. "Optimal design of power system stabilizer using oppositional gravitational search algorithm." In 2014 1st International Conference on Non Conventional Energy (ICONCE). IEEE, 2014. http://dx.doi.org/10.1109/iconce.2014.6808727.

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Heggset, Tarjei, Ole Meyer, Andrea Gruber, Luis Tay-Wo-Chong, and Andrea Ciani. "Numerical Assessment of a Rich-Quench-Lean Staging Strategy for Clean and Efficient Combustion of Partially Decomposed Ammonia in the Constant Pressure Sequential Combustion System." In ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/gt2023-103835.

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Abstract In a future energy-system prospective, predictably dominated by (often) remote and (always) unsteady, non-dispatchable renewable power generation from solar and wind resources, hydrogen (H2) and ammonia (NH3) have emerged as logistically convenient, chemically-simple and carbon-free chemicals for energy transport and storage. Moreover, the reliability of supply of a specific fuel feedstock will remain unpredictable in the upcoming energy transition period. Therefore, the ability of gas turbines combustion systems to seamlessly switch between very disparate types of fuels must be ensur

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Liu, Wenxin, Ganesh K. Venayagamoorthy, Jagannathan Sarangapani, et al. "Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer." In 2007 IEEE International Conference on Control Applications. IEEE, 2007. http://dx.doi.org/10.1109/cca.2007.4389351.

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Liu, Wenxin, Ganesh K. Venayagamoorthy, Jagannathan Sarangapani, et al. "Comparisons Of An Adaptive Neural Network Based Controller And An Optimized Conventional Power System Stabilizer." In 2007 IEEE 22nd International Symposium on Intelligent Control. IEEE, 2007. http://dx.doi.org/10.1109/isic.2007.4359805.

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Barik, Soumyabrata, and Abraham T. Mathew. "Design and comparison of power system stabilizer by conventional and robust H∞ loop shaping technique." In 2014 International Conference on Circuit, Power and Computing Technologies (ICCPCT). IEEE, 2014. http://dx.doi.org/10.1109/iccpct.2014.7054971.

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