Particle Swarm Optimization for Simultaneous Tuning of Static Var Compensator and Power System Stabilizer

• Autorzy: Eslami M. , Shareef H. , Mohamed A. , Khajehzadeh M.

Warianty tytułu

PL

Wykorzystanie algorytmu mrówkowego do równoczesnej kompensacji mocy biernej i stabilizacji systemu

• Języki publikacji: EN

Abstrakty

EN

In this study, simultaneous coordinated designing of power system stabilizer and static VAR compensator damping controller is investigated. The particle swarm optimization (PSO) is used to search for optimal controller parameters, by incorporating chaos. PSO with chaos is hybridized to form a chaotic PSO, which reasonably combines the population-based evolutionary searching ability of PSO and chaotic searching behavior. The efficiency of the proposed controllers is exhibited through the eigenvalue analysis and nonlinear time-domain simulation. The results of these studies show that the proposed coordinated controllers have an excellent capability in damping interarea oscillations.

PL

Zbadano możliwość równoczesnej kompensacji mocy biernej i stabilizacji system. Wykorzystano algorytm PSO - mrówkowy. Próby systemu wykazały skuteczność i możliwość tłumienia oscylacji.

Słowa kluczowe

EN

particle swarm optimization (PSO); power system stabilizer; Static Var Compensator; Chaotic; electrical technology

PL

algorytm mrówkowy; kompensacja mocy biernej; elektrotechnika

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2011
• Tom: R. 87, nr 9a
• Strony: 343--347
• Opis fizyczny: Bibliogr. 9 poz., rys., tab., wykr.

Twórcy

autor

Eslami M.

autor

Shareef H.

autor

Mohamed A.

autor

Khajehzadeh M.

• Department of Electrical Engineering, Anar Branch, Islamic Azad University, Anar, Iran,

Bibliografia

• [1] Ramos R.A., Martins A.C., Bretas N.G., An improved methodology for the design of power system damping controllers, IEEE Trans. Power Syst., 20 (2005), No. , 1938- 1945
• [2] Eslami M., Shareef H., Mohamed A., Ghoshal S.P., Tuning of power system stabilizers using particle swarm optimization with passive congregation, Int. J. Phys. Sci.,17 (2010) No. 5, 2658- 2663
• [3] Eslami M., Shareef H., Mohamed A., Khajehzadeh M., Damping of Power System Oscillations Using Genetic Algorithm and Particle Swarm Optimization. Int. Rev. Electr. Eng., 6 (2010) No. 5, 2745-2753
• [4] Abido M.A., Abdel-Magid Y.L., Coordinated design of a PSS and an SVC-based controller to enhance power system stability, Int. J. Electr. Power Energy Syst., 25 (2003) No. 9, 695-704
• [5] Cai L.,Erlich I., Simultaneous coordinated tuning of PSS and FACTS damping controllers in large power systems. IEEE Trans. Power Syst., 20 (2005) No. 1, 294-300.
• [6] Kennedy J., Eberhart R., Particle swarm optimization,proceeding of the IEEE International Conference on Neural Networks, Perth, Australia. IEEE Service Center, Piscataway, (1995) 1942-1948.
• [7] Cai J., Ma X., Li L., Haipeng P., Chaotic particle swarm optimization for economic dispatch considering the generator constraints, Energy Convers. Manage. 48 (2007) No. 2, 645- 653
• [8] Bina X.Y., Chung C.Y., Wang K.W., Tse C.T., Choice of SVC location /signal and its controller design by probabilistic method, Electr. Power Syst. Res., 71 (2004) No. 1, 35-40
• [9] Abdel-Magid Y.L.,Abido M.A., Optimal multiobjective design of robust power system stabilizers using genetic algorithms. IEEE Trans. Power Syst., 18 (2003) No. 3, 1125-1132