Analysis of power system stabilizer Pareto optimisation-when taking into account the uncertainty of power system mathematical model parameters

• Autorzy: Nocoń A. , Paszek S.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

power system stabilizer; Pareto optimization; parameter uncertainty

PL

stabilizator systemowy; niepewność parametrów; Pareto-optymalizacja

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2011
• Tom: Vol. 60, nr 4
• Strony: 385--398
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Nocoń A.

autor

Paszek S.

• Silesian University of Technology, Gliwice,

Bibliografia

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• [2] Hongesombut K., Dechanupaprittha S., Mitani Y., Ngamroo I., Robust power system stabilizer tuning based on multiobjective design using hierarchical and parallel micro genetic algorithm. 15th PSCC, Session 28, Paper 2 (2005).
• [3] Khaleghi M., Mohammadian M., Khorasaninejad M., Farsangi M.M., Design of two power system stabilizers coordinately based on strength Pareto evolutionary algorithm. IEEE ICIEA, pp. 1527-1531 (2009).
• [4] Nocoń A., Pasko M., Paszek S. Sensitivity analysis including uncertainty of synchronous generator model parameters. 9th International Conference Control of Power Systems’10, Tatranské Matliare, Slovak Republic, pp. 105-128 (2010).
• [5] Nocoń A., Paszek S. Synthesis of generator voltage regulator when applying polyoptimisation. Bulletin of the Polish Academy of Sciences – Technical Sciences 55(1): 43-48, ISSN 0239-7528 (2007).
• [6] Nocoń A., Szuster D. Distributed source mathematical model including parameter uncertainty. 33th International Conference on Fundamentals of Electrotechnics and Circuit Theory, SPETO’2010, Ustroń, pp. 35-37 (2009).
• [7] Paszek S., Optimisation of PSS parameters. Journal of Electrical Engineering, Slovak Centrum of IEE 52: 30-35 (2001).
• [8] Paszek S., Pawłowski A., Parameter optimization of dual input power system stabilizers PSS3B in multi-machine power system. International Conference of Fundamentals of Electrotechnics and Circuit Theory 2: 407-410 (2004).
• [9] Urnadeta A.J., Bacalao N.J., Feijoo B. et al., Tuning of power systems stabilizers using optimization techniques. IEEE Transaction on Power Systems 6(1): 127-134 (1991).
• [10] Zhang P.X., Cao Y.J., Cheng S.J., Coordination of multiple PSSs using multi-objective genetic algorithm. Proceedings of the 5th Word Congress on Intelligent Control and Automation, pp. 5040-5044 (2004).