Abido. M.A., 2002. Optimal design of power-system stabilizers using particle swarm optimization, IEEE Transactions on Energy Conversion, vol. 17 (3), pp. 406 - 413. https://doi.org/10.1109/TEC.2002.801992
Bratton, D., Kennedy, J., 2007. Defining a standard for particle swarm optimization, Proceedings of the IEEE Swarm Intelligence Symposium, Honolulu, USA, pp. 120-127. https://doi.org/10.1109/SIS.2007.368035
Camacho, E.F., Bordons, C., 2007. Model Predictive Control. Springer-Verlag, 2 Ed. https://doi.org/10.1007/978-0-85729-398-5
[+]
Abido. M.A., 2002. Optimal design of power-system stabilizers using particle swarm optimization, IEEE Transactions on Energy Conversion, vol. 17 (3), pp. 406 - 413. https://doi.org/10.1109/TEC.2002.801992
Bratton, D., Kennedy, J., 2007. Defining a standard for particle swarm optimization, Proceedings of the IEEE Swarm Intelligence Symposium, Honolulu, USA, pp. 120-127. https://doi.org/10.1109/SIS.2007.368035
Camacho, E.F., Bordons, C., 2007. Model Predictive Control. Springer-Verlag, 2 Ed. https://doi.org/10.1007/978-0-85729-398-5
Carlisle, A., Dozier, G., 2001. An off-the-shelf PSO. In Proceedings of the. Particle Swarm Optimization Workshop, Seoul, Korea, pp. 1- 6.
Cazzaniga, P., Nobile, M.S., Besozzi. D., 2015. The impact of particles initialization in PSO: parameter estimation as a case in point. Proceedings of IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, Niagara Falls, Canada, pp. 1-8. https://doi.org/10.1109/CIBCB.2015.7300288
Chatterjee, A., Ghoshal. S.P., Mukherjee. V., 2011. Chaotic ant swarm optimization for fuzzy-based tuning of power system stabilizer. Electrical Power and Energy Systems, vol. 33 pp. 657-672. https://doi.org/10.1016/j.ijepes.2010.12.024
Clerc, M., The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization, in Proc. 1999 ICEC, Washington, DC, pp. 1951-1957. https://doi.org/10.1109/CEC.1999.785513
Clerc, M., Kennedy, J., 2002.The particle swarm - Explosion, stability, and convergence in a multidimensional complex space", IEEE Transactions on Evolutionary Computation, Vol. 6, No. 1, pp. 58-73. https://doi.org/10.1109/4235.985692
Del Re, L., Allgöwer, F., Glielmo, L., Guardiola, C., Kolmanovsky, I. (Eds.), 2010. Automotive Model Predictive Control: Models, Methods and Applications. Springer-Verlag. https://doi.org/10.1007/978-1-84996-071-7
Duarte-Mermoud, M.A., Milla, F., 2016. Model Predictive Power Stabilizer Optimized by PSO. Proceedings of IEEE ICA Conference & XXII Congress of ACCA, 19-21 October 2016, Curicó, Chile. Vol. 1, pp. 673-679. https://doi.org/10.1109/ICA-ACCA.2016.7778477
Eberhart, R., Kennedy, J., 1995a. A new optimiser using particle swarm theory. In: In Proceedings of the Sixth International Symposium on Micromachine and Human Science (MHS). Nagoya, Japan, pp. 39 - 43. https://doi.org/10.1109/MHS.1995.494215
Eberhart, R., Kennedy, J., 1995b. Particle swarm optimization. In Proceedings of IEEE International Conference on Neural Networks (ICNN). Vol. 4. Piscataway, NJ, pp. 1942 - 1948. https://doi.org/10.1109/ICNN.1995.488968
Eberhart, R.C., Shi, Y. 2000. Comparing Inertia Weights and Constriction Factors in Particle Swarm Optimization, In Proceedings of the 2000 Congress on Evolutionary Computing, Vol. 1, pp. 84-88, 2000. https://doi.org/10.1109/CEC.2000.870279
Ford, J.J., Ledwich, G., Dong, Z.Y., 2008. Efficient and robust model predictive control for first swing transient stability of power systems using flexible AC transmission systems devices, Generation, Transmission & Distribution, IET, vol. 2 (5), pp.731-742. https://doi.org/10.1049/iet-gtd:20070415
IEEE, 2005. IEEE 421.5. "IEEE Recommended Practice for Excitation System Models for Power System Stability Studies". IEEE-SA Standards. USA.
Kahl, M., Leibfried T., 2013. Decentralized Model Predictive Control of Electrical Power Systems. In Conference on Power Systems Transients (IPST2013) in Vancouver, Canada, Available: http://ipstconf.org/papers/Proc_IPST2013/13IPST043.pdf
Karnik, S.R., Raju, A.B., Raviprakasha, M.S., 2009. Robust Design of Power System Stabilizer using Taguchi Technique and Particle Swarm Optimization, in Second International Conference on Emerging Trends in Engineering and Technology, Nagpur, India, vol. 1, No. 1, pp. 19-25. https://doi.org/10.1109/ICETET.2009.195
Kennedy J., and Eberhart. R.C., 2001. Swarm Intelligence. Morgan Kaufmann.
Kundur P., 1994. Power system stability and control. New York: McGraw-Hill.
Mayne, D.Q., Rawlings, J.B., Rao, C.V., Scokaert. P.O.M., 2000.Constrained model predictive control: stability and optimality. In Automatica, vol.36, pp.789-814. https://doi.org/10.1016/S0005-1098(99)00214-9
Milla, F., Duarte-Mermoud, M.A., 2016. Predictive Optimized Adaptive PSS in a Single Machine Infinite Bus. ISA Transactions. vol. 63, pp.315 - 327. https://doi.org/10.1016/j.isatra.2016.02.018
Ocampo-Martínez C., 2010. Model Predictive Control of Wastewater Systems. Springer-Verlag. https://doi.org/10.1007/978-1-84996-353-4
Phulpin, Y., Hazra, J., Ernst, D., 2011. Model predictive control of HVDC power flow to improve transient stability in power systems. In IEEE International Conference on Smart Grid Communications (SmartGridComm), Brussels, pp. 593 - 598. https://doi.org/10.1109/SmartGridComm.2011.6102391
Rajkumar, V., Mohler, R.R., 1994. Nonlinear predictive control for the damping of multimachine power system transients using FACTS devices, In Proceedings of the 33rd Conference on Decision and Control, Lake Buena Vista, Florida, USA, vol. 4. pp. 4074 - 4079. https://doi.org/10.1109/CDC.1994.411582
Sebaa, K., Moulahoum, S., Houassine H., and Kabache,, N. 2012. Model Predictive Control to improve the power system stability. In 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), Brasov, Rumania, pp. 208 - 212. https://doi.org/10.1109/OPTIM.2012.6231972
Shahriar, M.S., Ahmed, M.A., Ullah, M.S., 2012. Design and Analysis of a Model Predictive Unified Power Flow Controller (MPUPFC) for Power System Stability Assessment. International Journal of Electrical & Computer Sciences IJECS-IJENS vol: 12 No: 04
Shi, Y., EberhartR.C., 1998. A modified particle swarm optimizer, in Proc. of the IEEE International Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, Anchorage, USA: pp. 69-73, May 1998
Wang, L., Cheung, H., Hamlyn, A., Cheung. R., 2009. Model prediction adaptive control of inter-area oscillations in multi-generators power systems. In Power & Energy Society General Meeting, Toronto, Canada. pp. 1 - 7. https://doi.org/10.1109/PES.2009.5275685
Zambrano-Bigiarini, M., Clerc, M., Rojas. R., 2013. Standard Particle Swarm Optimization 2011 at CEC-2013: A baseline for future PSO improvements. In Evolutionary Computation (CEC), IEEE Congress, New York, USA, pp. 2337-2344.
Zheng, T. Ed., 2011.Advanced Model Predictive Control. InTech. https://doi.org/10.5772/685
[-]