Stabilizing Controller Design for Nonlinear Power System Using Particle Swarm Optimization
(*) Corresponding author
DOI: https://doi.org/10.15866/ireaco.v10i5.12155
Abstract
Major problem of power system is to maintain transient stability and voltage regulation on inception of a severe fault or large change of load. It is required to maintain both the synchronism and post fault voltage regulation for satisfactory operation. In general the transient stability is improved by increasing the excitation rapidly, by this method either the voltage regulation will be achieved or the transient stability could be improved. To improve both the transient stability and voltage regulation of power system simultaneously a composite controller (excitation and governor control) based on direct feedback linearization (DFL) technique is considered in this paper. It is proposed to compute the controller parameters by particle swarm optimization (PSO) technique, a heuristic optimization method. The complete procedure has been explained by an example of a single machine infinite bus system. By simulation it has been shown that both the transient stability and good voltage regulation is achieved by implementing this controller. For simulation MATLAB 7 software is used.
Copyright © 2017 Praise Worthy Prize - All rights reserved.
Keywords
Full Text:
PDFReferences
Gibbard, M.J., Robust design of fixed-parameter power system stabilizers over a wide range of operating conditions, (1991) IEEE Trans. Power System 6, (2), pp. 794-800.
http://dx.doi.org/10.1109/59.76727
Jabr, R.A., Pal, B.C., Martins, N., A sequential conic programming approach for the coordinated and robust Design of power system stabilizers, (2010) IEEE Trans. Power System, 25, (3), pp. 1627-1637.
http://dx.doi.org/10.1109/tpwrs.2010.2040637
Jabr, R.A., Pal, B.C., Martins, N., Ferraz, J.C.R., Robust and coordinated tuning of power system stabilizer gains using sequential linear programming, (2010) IET Gener. Transm. Distrib., 4, (8), pp. 893–904.
http://dx.doi.org/10.1049/iet-gtd.2009.0669
Pierre, D.A., A perspective on adaptive control of power systems, (1988) IEEE Trans. Power Systems, PWRS-2, pp.387-396.
http://dx.doi.org/10.1109/tpwrs.1987.4335139
Chow, J H., A pole placement design approach for systems with multiple operating conditions, (1988) Proc. 1988 CDC, pp. 1272-1277.
http://dx.doi.org/10.1109/cdc.1988.194527
Othman, H., Sanchez-Gasca, J.J., Kale, M.A. and Chow, J.H., On the design of robust power system stabilizers, (1989) Proc. of 28th CDC, pp. 1853-57, Tampa, Florida.
http://dx.doi.org/10.1109/cdc.1989.70478
Pai, M.A. and Sauer, P.W., A framework for application of Generalized Kharitonov’s Theorem in the robust stability analysis of power systems, (1989) Proc. of 28th CDC, Tampa, Florida, pp. 1818-1821.
http://dx.doi.org/10.1109/cdc.1989.70471
Mak, F. K., Design of nonlinear generator exciters using differential geometric control theories, (1992) Proc. 31st Conf., Dec., control Tucson, AZ, pp. 1149-1153.
http://dx.doi.org/10.1109/cdc.1992.371537
Mielczarski, W. and Zajaczkowski, A., Nonlinear controller for Synchronous generator, (1989) IFAC Nonlinear control system design symposium 89, Capri, Italy.
http://dx.doi.org/10.1016/0005-1098(94)90102-3
Mielczarski, W. and Zajaczkowski, A., Nonlinear stabilization of synchronous generator, (1990) 11th IFAC world congress, Tallinn, USSR.
http://dx.doi.org/10.1016/s1474-6670(17)55418-x
Isidori, A., Nonlinear control systems, 3rd edition, Springer Verlag, 1995.
http://dx.doi.org/10.1007/978-1-84628-615-5
Vidyasagar, M., Nonlinear systems analysis, second Ed., Prentice Hall, New Jersey, 1993.
http://dx.doi.org/10.1002/sce.3730550425
Peng, Chao-Chung.,Chen,Chieh-Li., Dynamic controller design for a class of nonlinear uncertain systems subjected to time-varying disturbance, (2008) Nonlinear Dynamics 57: pp. 411–423.
http://dx.doi.org/10.1007/s11071-008-9451-2
Mahmud, M.A., Pota, H.R., Hossain, M.J., Full order nonlinear observer-based excitation controller design for interconnected power system via exact linearization approach, (2012) Electrical Power system and Energy systems 41.
http://dx.doi.org/10.1016/j.ijepes.2012.03.007
Kanchanaharuthai, A., Mujjalinvimut, E., An Adaptive Backstepping Coordinated Excitation and STATCOM Control for Power Systems, (2016) International Review of Electrical Engineering (IREE), 11 (4), pp. 391-398.
http://dx.doi.org/10.15866/iree.v11i4.9212
Vikhram, R., Latha, S., Coordinated Design of PSS and TCSC Controller for Power System Damping Improvement with Multiple Control Design Requirements, (2014) International Review on Modelling and Simulations (IREMOS), 7 (2), pp. 311-322.
Manuaba, I., Priyadi, A., Hery P., M., Coordination Tuning PID-PSS and TCSC Based Model of Single Machine Infinite-Bus Using Combination Bacteria Foraging-Particle Swam Optimization Method, (2015) International Review of Electrical Engineering (IREE), 10 (6), pp. 787-794.
http://dx.doi.org/10.15866/iree.v10i6.7330
Wang, Y., Hill, D. J.,Gao, L. and Middleton, R. H., Transient Stability Enhancement and Voltage Regulation of Power System, (1993) IEEE Trans. Power Syst., Vol. 8, No. 2, pp. 620-627.
http://dx.doi.org/10.1109/59.260819
Gao, L., Chen, L, Fan, Y. and Ma, H. W., A nonlinear control design for Power System, (1992) Automatica, Vol. 28, No. 5, pp. 975-979.
http://dx.doi.org/10.1016/0005-1098(92)90150-e
Zhu, C., Zhou, R. and Wang, Y., A New nonlinear voltage controller for power systems, (1997) Electric Power & Energy Systems, Vol. 19, No. 1, pp. 19-27.
http://dx.doi.org/10.1016/s0142-0615(96)00022-1
Kennedy, J. and Eberhart, R., Particle swarm optimization, (1995) In Proc. IEEE Int. Conf. Neural Networks, vol. IV, Perth, Australia, pp.1942–1948.
http://dx.doi.org/10.1109/icnn.1995.488968
Shi, Y. and Eberhart, R., A modified particle swarm optimizer, (1998) In Proc. IEEE Int. Conf. Evol.Comput., Anchorage, AK, pp. 69–73.
http://dx.doi.org/10.1109/icec.1998.699146
Shi, Y. and Eberhart, R. C., Empirical study of particle swarm optimization, (1999) In Proc. IEEE Int. Conf. Evol. Comput.,Washington, DC, pp. 1945–1950.
http://dx.doi.org/10.1109/cec.1999.785511
Z.L. Gaing, A PSO approach for optimum design of PID controller in AVR system, IEEE Trans. on Energy Conversion, vol. 19, no.2, June 2004, pp. 384-391.
http://dx.doi.org/10.1109/tec.2003.821821
Meo, S., Zohoori, A., Vahedi, A., Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi-objective particle swarm optimization hybrid approach, (2016) Energy Conversion and Management, 110, pp. 230-239.
http://dx.doi.org/10.1016/j.enconman.2015.11.062
Del Pizzo, A., Meo, S., Brando, G., Dannier, A., Ciancetta, F., An energy management strategy for fuel-cell hybrid electric vehicles via particle swarm optimization approach, (2014) International Review on Modelling and Simulations (IREMOS), 7 (4), pp. 543-553.
http://dx.doi.org/10.15866/iremos.v7i4.4227
Eberhart, R. C. and Shi, Y., Comparison between genetic algorithms and particle swarm optimization, (1998) In Proc. IEEE Int. Conf. Evol.Comput., Anchorage, AK, pp. 611–616.
http://dx.doi.org/10.1007/bfb0040812
Angeline, P. J., Using selection to improve particle swarm optimization, (1998) In Proc. IEEE Int. Conf. Evol. Comput., Anchorage, AK, pp. 84–89.
http://dx.doi.org/10.1109/icec.1998.699327
Yoshida, H., Kawata, K. and Fukuyama, Y., A particle swarm optimization for reactive power and voltage control considering voltage security assessment, (2000) IEEE Trans. Power Syst., vol. 15, pp. 1232–1239.
http://dx.doi.org/10.1109/59.898095
Marino, R. and Tomci, P., Nonlinear control design: Geometric, adaptive and robust, London, Prentice Hall, 1995.
http://dx.doi.org/10.1002/(sici)1099-1239(19980415/30)8:4/5%3C459::aid-rnc318%3E3.0.co;2-m
Cook, P.A., Nonlinear Dynamical System, 2nd ed. Englewood cliffs, NJ, Prentice Hall, 1994.
http://dx.doi.org/10.1207/s15328023top1003_30
Rekha, Singh, A.K., Stabilizing controller design for transient stability improvement of power system, (2014) International Review of Automatic Control (IREACO), vol.7, no. 6, pp. 534-541.
http://dx.doi.org/10.15866/ireaco.v7i6.2375
Agrawal, S., Bakshi, T. and Majumdar, D., Optimal power pulling for a multiple area Power system through PSO, (2014) IJEEI, vol. 6, no. 2, pp. 280-296.
http://dx.doi.org/10.15676/ijeei.2014.6.2.5
Refbacks
- There are currently no refbacks.
Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize