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Multi-criteria optimization of the parameters of PSS3B system stabilizers operating in an extended power system with the use of a genetic algorithm

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Języki publikacji
EN
Abstrakty
EN
In the paper, the application of multi-criteria optimization of the parameters of PSS3B system stabilizers to damping electromechanical swings in an extended power system (PS) is presented. The calculations of the power system stabilizer (PSS) parameters were divided into two stages. In the first stage, single-machine systems, generating unit - infinite bus, of generating units critical for the angular stability of the PS were analyzed. Time constants and preliminary values of the PSS gains were calculated. In the second stage, the main one, the main gains on which the effectiveness of operation of PSSs depends the most were calculated by multi-criteria optimization of the extended PS. The calculations were carried out in several variants: for two-dimensional objective functions and the six-dimensional objective function. In multi-criteria optimization, the solution is not one set of PSS parameters, but a set of sets of these parameters, i.e. a set of compromises that were determined for each analyzed case. Additionally, for the six-dimensional compromise set, projections of this set on the planes connected with the quantities of individual generating units and the boundary of these projections on these planes were determined. A genetic algorithm adapted to multi-criteria issues was used to minimize the multivariate objective function. Sample calculations were made for the model of the National (Polish) Power System taking into account 57 selected generating units operating in high and extra high voltage networks (220 and 400 kV). The presented calculations show that the applied multi-criteria optimization of the PSS3B stabilizer parameters allows effectively damping electromechanical swings without worsening the voltage waveforms of generating units in the extended PS.
Rocznik
Strony
233--255
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wzory
Twórcy
  • Faculty of Electrical Engineering, Silesian University of Technology, Akademicka 10, 44-100 Gliwice, Poland
  • Faculty of Electrical Engineering, Silesian University of Technology, Akademicka 10, 44-100 Gliwice, Poland
autor
  • Faculty of Electrical Engineering, Silesian University of Technology, Akademicka 10, 44-100 Gliwice, Poland
Bibliografia
  • [1] M.J. Gibbard: Co-ordinated design of multimachine power system stabilisers based on damping torque concepts. IEE Proceedings 135, Pt. C(4), (1988) 276-284.
  • [2] IEEE STd 421.5. IEEE Recommended Practice for Excitalion System Models for Power System Stability Studies, 2016.
  • [3] M. Khaleghi, M.M. Farsangi, H. Nezamabadi-Pur, and K.Y. Lee: Pareto-Optimal Design of Damping Controllers Using Modified Artificial Immune Algorithm. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 41(2), (March 2011), 240-250, DOI: 10.1109/TSMCC.2010.2052241.
  • [4] D. Khanh, P. Vasant, I. Elamvazuthi, and V. Dieu: Optimization of thermo-electric coolers using hybrid genetic algorithm and simulated annealing. Archives of Control Sciences, 24(2), (2014), 155-176, DOI: 10.2478/acsc-2014-0010.
  • [5] P. Kundur: Power System Stability and Control. McGraw-Hill, Inc., 1994.
  • [6] Z. Lubośny: Dual Input Quasi-Optimal PSS for Generating Unit with Static Excitation System. IFAC Proceedings, Volumes 39(7), (2006), 267-272.
  • [7] J. Machowski, J. Białek, and J. Bumby: Power System Dynamics. Stability and Control. John Wiley & Sons, Chichester, New York, 2008.
  • [8] J. Machowski, P. Kacejko, S. Robak, P. Miller, and M. Wancerz: Simplified angle and voltage stability criteria for power system planning based on the short-circuit power. International Transactions on Electrical Energy Systems, 25(11), (2015), 3096-3108, DOI: 10.1002/etep.2024.
  • [9] Mathworks, Inc. Optimization Toolbox Documentation. Available online: .
  • [10] F.P. De Mello and Ch. Concordia: Concepts of synchronous machine stability as affected by excitation control. IEEE Trans. on Power Systems, PAS-88(4), (1980), 316-329.
  • [11] Z. Michalewicz, T.D. Logan, and S. Swaminathan: Evolutionary Operators for Continuous Convex Parameter Spaces. 3rd Annual Conference on Evolutionary Programming, A.V. Sebald and L.J. Fogel (editors), World Scientific Publishing, River Edge, N.J., 1994, pp. 84-97.
  • [12] B.L. Miller and D.E. Goldberg: Genetic Algorithms, Tournament Selection, and the Effects of Noise. Complex Systems, 9(3), 193-212.
  • [13] T. Orosz, A. Rassõlkin, A. Kallaste, R Arsénio, D. Pánek, J. Kaska, and P. Karban: Robust design optimization and emerging technologies for electrical machines: Challenges and open problems. Applied Sciences, 10(19), (2020), 6653, DOI: 10.3390/app10196653.
  • [14] M. Panda, B. Das, and B. Pati: Global path planning for multiple AUVs using GWO. Archives of Control Sciences, 30(1), (2020), 77-100, DOI: 10.24425/acs.2002.132586.
  • [15] S. Paszek and A. Nocoń: Optimisation and Polyoptimisation of Power System Stabilizer Parameters. Lambert, Saarbrücken, 2014.
  • [16] S. Paszek and A. Nocoń: Parameter polyoptimization of PSS2A power system stabilizers operating in a multi-machine power system including the uncertainty of model parameters. Elsevier, Applied Mathematics and Computation, 267 (2015), 750-757, DOI: 10.1016/j.amc.2014.12.013.
  • [17] M. Peschel and C. Riedel: Polyoptimierung - eine Entscheidungshhilfe für ingenieurtechnische Kompromislösungen. VEB Verlag Technik, Berlin, 1976.
  • [18] Power Technologies, a Division of S&W Consultants Inc.: Program PSS/E Application Guide. Siemens Power Technologies Inc., 2002.
  • [19] P. Pruski and S. Paszek: Location of generating units most affecting the angular stability of the power system based on the analysis of instantaneous power waveforms. Archives of Control Sciences, 30(2), (2020), 273-293, DOI: 10.24425/acs.2020.133500.
  • [20] G. Tsourakis, S. Nanou, and C.A. Vournas: Power System Stabilizer for Variable-Speed Wind Generators. IFAC Proceedings Volumes, 44(1), (2011), 11713-11719.
  • [21] O. Tuttokmagi and A. Kaygusuz: Transient Stability Analysis of a Power System with Distributed Generation Penetration. 7th International Istanbul Smart Grids and Cities Congress and Fair (ICSG), Istanbul, Turkey, (2019), pp. 154-158.
  • [22] V. Vesely, J. Osusky, and I. Sekaj: Gain scheduled controller design for thermo-optical plant. Archives of Control Sciences, 24(3), (2014), 333-349, DOI: 10.2478/acsc-2014-0020.
  • [23] P. Zhang and A. Coonick: Coordinated synthesis of PSS parameters in multi-machine power systems using the method of inequalities applied to genetic algorithms. 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.(00CH37077), 2, (2000), 1424, DOI: 10.1109/PESW.2000.850179.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f7abe216-96ca-46b5-a21d-021387cd911e
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