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Power System Stabilizers and their Design Techniques for Power System Damping using Optimization Methods

A. Ragavendiran, R. Gananadass

Abstract


This paper presents a detailed clarification of the occurrence of low frequency oscillations experienced in power systems. A brief account of the present practice of providing fixed gain power system stabilizers (PSS) is followed by a summary of some of the recent design proposals for optimization PSS. Hence, it is necessary to use, most efficient optimization methods to take full advantage in simplifying the trouble and its implementation. A novel PSS based on the effort of cancelling the negative damping torque produced by the automatic voltage regulator (AVR) is presented. Along with some recent studies on a multi-machine system is using a location identification technique.


Keywords


PSS, AVR, Multi-Machine System. Low Frequency Oscillation.

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References


P. Kundur, Power System Stability and Control, N. J. Balu, Ed. McGraw-Hill, 1993.

K. Uhlen, L. Warland, J. Gjerde, O. Breidablik, M. Uusitalo, A. Leirbukt, and P. Korba, “Monitoring amplitude, frequency and damping of power system oscillations with PMU measurements,” in Proc. IEEE PES General Meeting, 2008.

Z. Yuan, T. Xia, Y. Zhang, L. Chen, P. Markham, R. Gardner, and Y. Liu, “Inter-area oscillation analysis using wide area voltage angle measurements from FNET,” to be published in Proc. IEEE PES General Meeting, 2010.

J. Hauer, “The Electric Power Engineering Handbook: Power System Stability and Control”, 2007.

A. Phadke and J. Thorp, “Synchronized Phasor Measurements and Their Applications”, Springer, 2008.

G. Rogers, “Demystifying power system oscillations,” IEEE Comput. Appl. Power, pp. 30–35, July 1996.

D. Kosterev, C. Taylor, and W. Mittelstadt, “Model validation for August 10, 1996 WSCC system outage,” IEEE Trans. Power Syst., vol. 14, no. 3, pp. 967–979, August 1999.

L. Vanfretti and J. Chow, “Computation and analysis of power system voltage oscillations from interarea modes,” in Proc. IEEE PES General Meeting, 2009.

Vanfretti, L. , Chow, J.H. ,“Analysis of power system oscillations for developing synchrophasor data applications,” accepted for the 2010 IREP Symposium - Bulk Power System Dynamics and Control, 2010.

Wasserman P., Meyer-Arendt J., “Neural computing, theory and practice. Applied Optics”, 29 (1990) No. 2503.

Pillutla S., Keyhani A., “Power system stabilization based on modular neural network architecture”, Int. J. Elect. Power Energy Syst., 19 (1997) No. 6, 411-418.

Hosseinzadeh N.,Kalam A., “A hierarchical neural network adaptive power system stabilizer”, Int. J. Elect. Power Energy Syst., 19 (1999) No. 1, 28-33.

Shamsollahi P.,Malik O., “Design of a neural adaptive power system stabilizer using dynamic back-propagation method”, Int. J. Elect. Power Energy Syst., 22 (2000) No. 1, 29-34.

Shamsollahi P.,Malik O., “An adaptive power system stabilizer using on-line trained neural networks”, IEEE Trans. Energy Convers., 12 (2002) No. 4, 382-387.

Tsoukalas L.,Uhrig R., “Fuzzy and neural approaches in engineering,” 1996: John Wiley & Sons, Inc. NY, USA.

Abido M.,Abdel-Magid Y., “Adaptive tuning of power system stabilizers using radial basis function networks”, Electr. PowerSyst. Res., 49 (1999) No. 1, 21-29.

Segal R., Kothari M., Madnani S., “Radial basis function (RBF )network adaptive power system stabilizer”, IEEE Trans. PowerSyst., 15 (2002) No. 2, 722-727.

Senjyu T., Morishima Y., Yamashita T., Uezato K., Fujita H., “Recurrent neural network supplementary stabilization controllerfor automatic voltage regulator and governor”, Electr, PowerCompon. Syst., 31 (2003) No. 7, 693-707.

Chaturvedi D.,Malik O., “Generalized neuron-based PSS and adaptive PSS”, Control Eng. Practice, 13 (2005) No. 12, 1507-1514.

Chaturvedi D.,Malik O., “Generalized neuron-based adaptive PSS for multi-machine environment”, IEEE Trans. Power Syst.,20 (2005) No. 1, 358-366.

Chaturvedi D.,Malik O., “Experimental studies of a generalized neuron based adaptive po wer system stabilizer”, Soft Comput.,11 (2007) No. 2, 149-155.

Chaturvedi D., Malik O., Kalra P. “Generalised neuron-basedadaptive power system stabilizer”, IEE ProceedingsGeneration, transmission and Distribution 2004.

Chaturvedi D.,Malik O., “Neurofuzzy power system stabilizer”, IEEE Trans. Energy Convers., 23 (2008) No. 3, 887-894.

Barreiros J., Ferreira A., Tavares-da-Costa C., “A neural power system stabilizer trained using local linear controllers in a gain scheduling scheme”, Int. J. Elect. Power Energy Syst., 27 (2005) No. 7, 473-479.

Ping H., Kewen W., Chitong T., Xiaoyan B., “Studies of th eimprovement of probabilistic PSSs by using the single neuron model”, Int. J. Elect. Power Energy Syst., 29 (2007) No. 3, 217-221.

Ray S.,Venayagamoorthy G., “A wide area measurement based neurocontrol for generation excitation systems”, Eng. Appl. Artif. Intell., 22 (2009) No. 3, 473-481.

Zadeh L., Fuzzy sets*. Information and control, 8 (1965) No. 3, 338-353.

Pal S.,Mandal D., “Fuzzy Logic and Approximate Reasoning: An Overview”, J. Institution of Electronics and Telecommunication Engineers, (1991) No. 548–559.

El-Hawary M., “Electric power applications of fuzzy systems”, 1998: Wiley-IEEE Press.

El-Sherbiny M., Sharaf A., El-Saady G., Ibrahim E., “A novel fuzzy state feedback controller for power system stabilization”, Electr. Power Syst. Res., 39 (1996) No. 1, 61-65.

Lakshmi P.,Abdullah Khan M., “Design of a robust power system stabilizer using fuzzy logic for a multi-machine power system”, Electr. Power Syst. Res., 47 (1998) No. 1, 39-46.

Mitra P., Chowdhury S., Chowdhury S., Pal S., Lahiri R., Song Y. “Performance of A Fuzzy Power System Stabilizer With Tie Line Active Power Deviation Feedback”, in IEEE Power Systems Conference and Exposition, 2007.

Dash P., Liew A., Mishra B., “An adaptive PID stabilizer for power systems using fuzzy logic”, Electr. Power Syst. Res., 44 (1998) No. 3, 213-222.

Kvasov D., Menniti D., Pinnarelli A., Sergeyev Y., Sorrentino N., “Tuning fuzzy power-system stabilizers in multi-machine systems by global optimization algorithms based on efficient domain partitions”, Electr. Power Syst. Res., 78 (2008) No. 7, 1217-1229.

Lu J., Nahrir M., Pierre D., “A fuzzy logic-based adaptive power system stabilizer for multi-machine systems”, Electr. Power Syst. Res., 60 (2001) No. 2, 115-121.

Abdelazim T.,Malik O., “Power system stabilizer based on model reference adaptive fuzzy control”, Electr, Power Compon. Syst., 33 (2005) No. 9, 985-998.

Hossein-Zadeh N.,Kalam A., “An indirect adaptive fuzzy-logic power system stabilizer”, Int. J. Elect. Power Energy Syst., 24 (2002) No. 10, 837-842.

Elshafei A., El-Metwally K., Shaltout A., “A variable-structure adaptive fuzzy-logic stabilizer for single and multi-machine power systems” Control Eng. Practice, 13 (2005) No. 4, 413- 423.

Lie T.,Sharaf A., “An adaptive fuzzy logic power system stabilizer”, Electr. Power Syst. Res., 38 (1996) No. 1, 75-81.

Soliman M., Elshafei A., Bendary F., Mansour W., ‘LMI static output-feedback design of fuzzy power system stabilizers”, Expert Syst. Appl., 36 (2009) No. 3, 6817-6825.

Soliman M., Elshafei A., Bendary F., Mansour W., “Robust decentralized PID-based power system stabilizer design using an ILMI approach”, Electr. Power Syst. Res., 80 (2010) No. 12, 1488-1497.

Kim S., Kwon S., Moon Y., “Low-order robust power system stabilizer for single-machine systems: an LMI approach”, Int. J. Elect. Power Energy Syst., 8 (2010) No. 3, 556-563.

Dou C., Jia Q., Jin S., Bo Z., “Delay-independent decentralized stabilizer design for large interconnected power systems based on WAMS”, Int. J. Elect. Power Energy Syst., 29 (2007) No. 10, 775-782.

Dou C., Jia Q., Jin S., Bo Z., “Robust controller design for large interconnected power systems with model uncertainties based on wide-area measurement”, Electr. Eng., 90 (2008) No. 4, 265-273.

Dou C., Zhang X., Guo S., Mao C., “Delay-independent excitation control for uncertain large power systems using wide area measurement signals”, I Int. J. Elect. Power Energy Syst., 32 (2010) No. 3, 210-217.

Ramirez-Gonzalez M.,Malik O., “Self-tuned Power System Stabilizer Based on a Simple Fuzzy Logic Controller”, Electr, Power Compon. Syst., 38 (2010) No. 4, 407-423.

Glover F.,Marti R., Tabu search. “Metaheuristic Procedures for Training Neutral Network”s, (2006) No. 53-69.

Rayward V., Osman I., Reeves C., Smith G., “Modern heuristic search methods”, 1996: John Wiley & Sons, England.

Abido M.,Abdel-Magid Y., “Eigenvalue assignments in multi-machine power systems using tabu search algorithm”, Comput. Electr. Eng., 28 (2002) No. 6, 527-545.

Abido M.,Abdel-Magid Y., “Robust design of electrical power based stabilizers using tabu search”, 2001, IEEE, Power Engineering Society Summer Meeting: Vancouver, BC , Canada p. 1573-1578.

Abido M.,Abdel-Magid Y., “Robust design of multimachine power system stabilizers using tabu search algorithm, in Generation, Transmission and Distribution”, 2000, IET. p. 387- 394.

Abido M.,Abdel-Magid Y., “A tabu search based approach to power system stability enhancement via excitation and static phase shifter control”, Electr. Power Syst. Res., 52 (1999) No. 2, 133-143.

Ngamroo I., “An optimization technique of robust load frequency stabilizer for superconducting magnetic energy storage”, Energy Conv. Manag., 46 (2005) No. 18-19, 3060-3090.

Kirkpatrick S., “Optimization by simulated annealing: Quantitative studies”, Journal of Stat. Phys., 34 (1984) No. 5, 975-986.

Cerný V., “Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm”, J. Optim. Theory Appl., 45 (1985) No. 1, 41-51.

Abido M., “An efficient heuristic optimization technique for robust power system stabilizer design”, Electr. Power Syst. Res., 58 (2001) No. 2, 53-62.

Abido M., “Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing”, Int. J. Elect. Power Energy Syst., 22 (2000) No. 543–554.

Abido M., “Simulated annealing based approach to PSS and FACTS based stabilizer tuning”, Int. J. Elect. Power Energy Syst., 22 (2000) No. 4, 247-258.

Abido M., “Robust design of multimachine power system stabilizers using simulated annealing”, IEEE Trans. Energy Convers., 15 (2002) No. 3, 297-304.

Colorni A., Dorigo M., Maniezzo V. “Distributed optimization by ant colonies. 1992.

Dorigo M., “Optimization, learning and natural algorithms. Unpublished doctoral dissertation”, Politecnico DI Milano, Dipartimento DI Elettronica, Italy, (1992).

Passino K., “Biomimicry of bacterial foraging for distributed optimization and control”, Control Systems Magazine, IEEE, 22 (2002) No. 3, 52-67.

Ghoshal S.P., Chatterjee A., Mukherjee V., “Bio-inspired fuzzy logic based tuning of power system stabilizer”, Expert Syst. Appl., 36 (2009) No. 5, 9281-9292.

Goldberg D., “Genetic algorithms in search, optimization, and machine learning”, 1989: Addison-wesley.

Do Bomfim A., Taranto G., Falcao D., “Simultaneous tuning of power system damping controllers using genetic algorithms”, IEEE Trans. Power Syst., 15 (2002) No. 1, 163-169.

Hasanovic A.,Feliachi A. “Genetic algorithm based inter-area oscillation damping controller design using MATLAB”, in IEEE Power Engineering Society Summer Meeting. 2007. IL, USA.

Sebaa K.,Boudour M., “Optimal locations and tuning of robust power system stabilizer using genetic algorithms”, Electr. Power Syst. Res., 79 (2009) No. 2, 406-416.

Sebaa K., Gue guen H., Boudour M., “Mixed integer non-linear programming via the cross-entropy approach for power system stabilizers location and tuning”, Generation, Transmission & Distribution, IET, 4 (2010) No. 8, 928-939.

Hongesombut K., Dechanupaprittha S., Mitani Y., Ngamroo I., “Robust power system stabilizer tuning based on multi-objective design using hierarchical and parallel micro genetic algorithm”, 2005: IEEE Int Conf Power Syst Technol, p. 402-407.

Abdel-Magid Y.,Dawoud M., “Tuning of power system stabiliz[78] Abido M.A., “Parameter optimization of multimachine power system stabilizers using genetic local search”, Int. J. Elect. Power Energy Syst., 23 (2001) No. 8, 785-794. ers using genetic algorithms”, Electr. Power Syst. Res., 39 (1996) No. 2, 137-143.

Abido M.,Abdel-Magid Y., “A genetic-based power system stabilizer” Electr, Power Compon. Syst., 26 (1998) No. 6, 559-571.

Abido M.A.,Abdel-Magid Y.L., “Coordinated design of a PSS and an SVC-based controller to enhance power system stability”, Int. J. Elect. Power Energy Syst., 25 (2003) No. 9, 695-704.

Abdel-Magid Y.L.,Abido M.A., “Robust coordinated design of excitation and TCSC-based stabilizers using genetic algorithm”,. Electr. Power Syst. Res., 69 (2004) No. 2-3, 129- 141.

Panda S.,Ardil C., “Real-coded genetic algorithm for robust power system stabilizer design”, International J. Electr. Comput. Syst. Eng., 2 (2008) No. 1, 6-14.

Panda S., Patidar N., Singh R., “Simultaneous Tuning of Static Var Compensator and Power System Stabilizer Employing Real-Coded Genetic Algorithm”, International J. Electr. Power Energy Syst. Eng, 1 (2008) No. 240-247.

Kennedy J.,Eberhart R. “Particle swarm optimization”, 1995: Perth, Australia.

Shi Y.,Eberhart R. “A modified particle swarm optimizer”, In IEEE World Congress on Computational Intelligence, 2002, pp. 69-73.

El-Zonkoly A., “Optimal tuning of power system stabilizers and AVR gains using particle swarm optimization”, Expert Syst. Appl., 31 (2006) No. 3, 551-557.

El-Zonkoly A., Khalil A., Ahmied N., “Optimal tuning of lead-lag and fuzzy logic power system stabilizers using particle swarm optimization”, Expert Syst. Appl., 36 (2009) No. 2, 2097-2106.

Shayeghi H., Shayanfar H., Safari A., “Aghmasheh R., A robust PSSs design using PSO in a multi-machine environment”, Energy Conv. Manag., 51 (2010) No. 4, 696-702.

Shayeghi H., Safari A., Shayanfar H., “Multimachine power system stabilizers design using PSO algorithm”, Int. J. Electr. Power Energy Syst. Eng., 1 (2008) No. 4, 226-233.

Panda S.,Padhy N., “Robust power system stabilizer design using particle swarm optimization technique”, Int. J. Electr. Syst. Sci. Eng., 1 (2008) No. 1, 1-8.

Shayeghi H., Shayanfar H., Jalilzadeh S., Safari A., “Multimachine power system stabilizers design using chaotic optimization algorithm”, Energy Conv. Manag., 51 (2010) No. 7, 1572-1580.

Djukanovic M., DobrijevicMilan S., Djorde M., “Coordinated stabilizing control for the exciter and governor loops using fuzzy set theory and neural nets”, Int. J. Elect. Power Energy Syst.s, 19 (1997) No. 8, 489-499.

Sharaf A.,Lie T., “A neuro-fuzzy hybrid power system stabilizer”, Electr. Power Syst. Res., 30 (1994) No. 1, 17-23.

Abido M.,Abdel-Magid Y., “A fuzzy basis function network based power system stabilizer for generator excitation control”, Electr. Power Syst. Res., 49 (1999) No. 1, 11-19.

Abido M.,Abdel-Magid Y., “A hybrid neuro-fuzzy power system stabilizer for multimachine power systems”, IEEE Trans. Power Syst., 13 (2002) No. 4, 1323-1330.

Ramirez-Gonzalez M.,Malik O., “Power system stabilizer design using an online adaptive neurofuzzy controller with adaptive input link weights”, IEEE Trans. Energy Convers., 23 (2008) No. 3, 914-922.

Afzalian A.,Linkens D., “Training of neurofuzzy power system stabilisers using genetic algorithms”, Int. J. Elect. Power Energy Syst., 22 (2000) No. 2, 93-102.

Awadallah M.,Soliman H., “A Neuro-fuzzy Adaptive Power System Stabilizer Using Genetic Algorithms”, Electr, Power Compon. Syst., 37 (2009) No. 2, 158-173.

Fraile-Ardanuy J.,Zufiria P., “Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms”, Neurocomputing, 70 (2007) No. 16-18, 2902-2912.

Mahabuba A.,Khan M., “Small signal stability enhancement of a multi machine power system using robust and adaptive fuzzy neural network based power system stabilizer”, Eur. Trans. Electr. Power, 19 (2009) No. 7, 978-1001.

Cheng Y.,Elangovan S., “Enhanced power system stabilizer via integrated tabu-fuzzy knowledge based controller”, Int. J. Elect. Power Energy Syst., 25 (2003) No. 7, 543-550.

Malik O., “Amalgamation of adaptive control and AI techniques: applications to generator excitation control”, Annual Reviews in Control, 28 (2004) No. 1, 97-106.

Hwang G., Kim D., Lee J., An Y., “Design of fuzzy power system stabilizer using adaptive evolutionary algorithm”, Eng. Appl. Artifi. Intell., 21 (2008) No. 1, 86-96.

Mukherjee V.,Ghoshal S., “Intelligent particle swarm optimized fuzzy PID controller for AVR system”, Electr. Power Syst. Res., 77 (2007) No. 12, 1689-1698.

Caner M., Umurkan N., Tokat S., Üstün S., “Determination of optimal hierarchical fuzzy controller parameters according to loading condition with ANN”, Expert Syst. Appl., 34 (2008) No. 4, 2650-2655.

Hussein T., Saad M., Elshafei A., Bahgat A., “Damping interarea modes of oscillation using an adaptive fuzzy power system stabilizer” Electr. Power Syst. Res., 80 (2010) No. 12, 1428-1436.

Hussein T., Saad M., Elshafei A., Bahgat A., “Robust adaptive fuzzy logic power system stabilizer”, Expert Syst. Appl., 36 (2009) No. 10, 12104-12112.

Shayeghi H., Jalili A., Shayanfar H., “Multi-stage fuzzy load frequency control using PSO”,. Energy Conv. Manag., 49 (2008) No. 10, 2570-2580.

Zhang S.,Luo F., “An improved simple adaptive control applied to power system stabilizer”, IEEE Trans. Power Electr., 24 (2009) No. 2, 369-375.

Bhattacharya K., Kothari M., Nanda J., Aldeen M., Kalam A., “Tuning of power system stabilizers in multi-machine systems using ise technique”, Electr. Power Syst. Res., 46 (1998) No. 2, 119-131.

Cai L.,Erlich I., “Robust power system stabilizer design using particle swarm optimization technique”, IEEE Trans. Power Syst., 20 (2005) No. 1, 294 – 300.

Abido M., “Robust Design of Power System Stabilizers for Multimachine Power Systems Using Differential Evolution”, Comput. Intell. Power Eng., 302 (2010) No. 1-18.

Yassami H., Darabi A., Rafiei S., “Power system stabilizer design using Strength Pareto multi-objective optimization approach”, Electr. Power Syst. Res., 80 (2010) No. 7.

Kashki M., Abdel-Magid Y., Abido M., “Parameter optimization of multimachine power system conventional stabilizers using CDCARLA method”, Int. J. Elect. Power Energy Syst., 32 (2010) No. 5, 498-506.

Jiang Z., “Design of a nonlinear power system stabilizer using synergetic control theory”, Electr. Power Syst. Res., 79 (2009)No. 6, 855-862.

Rigatos G.,Siano P., “Design of robust electric power system stabilizers using Kharitonov's theorem”, Mathematics and Computers in Simulation, Article in Press (2010) No.

Li T., Wu M., He Y., “Lyapunov-Krasovskii functional based power system stability analysis in environment of WAMS”, J. Cent. South Univ. Technol., 17 (2010) No. 4, 801-806.

de Oliveira R., Ramos R., Bretas N., “An algorithm for computerized automatic tuning of power system stabilizers”, Control Eng. Practice, 18 (2010) No. 1, 45-54.

Simoes Costa A., Freitas F., Pena H., “Power system stabilizer design via structurally constrained optimal control”, Electr. Power Syst. Res., 33 (1995) No. 1, 33-40.

de Oliveira R., Ramos R., Bretas N., An algorithm for computerized automatic tuning of power system stabilizers. Control Eng. Practice, 18 (2010) No. 1, 45-54.

Simoes Costa A., Freitas F., Pena H., Power system stabilizer design via structurally constrained optimal control. Electr. Power Syst. Res., 33 (1995) No. 1, 33-40.

F. DeMello, P. Nolan, T. Laskowski, and J. Undrill, “Coordinated application of stabilizers in multimachine power systems,” IEEE Trans. Power App. Syst., vol. PAS-99, no. 3, pp. 892–901, May/June 1980.

N. Martins and L. Lima, “Determination of suitable locations for power system stabilizers and static var compensators for damping electromechanical oscillations in large scale power systems,” IEEE Trans. Power Syst., vol. 5, no. 4, pp. 1455–1469, November 1990.

S. Liu, A. Messina, and V. Vittal, “A Normal Form analysis approach to siting power system stabilizers (PSSs) and assessing power system nonlinear behavior,” IEEE Trans. Power Syst., vol. 21, no. 4, pp. 1755–1762, November 2006.


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