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Design of the PI–UPFC–POD and PSS Damping Controllers Using an Artificial Bee Colony Algorithm

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Abstract

This paper presents two variations of the artificial bee colony (ABC) algorithm, the classical and a modified version, called GBest, for the design of the proportional–integral and supplementary damping controllers: power system stabilizers and the unified power flow controller (UPFC)–power oscillation damping set. The objective is to insert additional damping to the low-frequency oscillation modes present in multimachine electrical power systems, to guarantee the small-signal stability of the system considering different loading conditions. A new current injection formulation for the UPFC is proposed and incorporated into the current sensitivity model used to represent the dynamical operation of the electric power system. Static and dynamical analysis were performed for the New England system to validate the proposed formulation and to evaluate the performance of the optimization algorithms. The results indicate that the modified version of the ABC algorithm has superior performance for this problem, providing robust solutions, that ensure the stability of the system even when small variations of the load are considered.

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References

  • Abedinia, O., Wyns, B., & Ghasemi, A. (2011). Robust fuzzy PSS design using ABC. In 2011 10th International Conference on Environment and Electrical Engineering (EEEIC). doi:10.1109/EEEIC.2011.5874849.

  • Akay, B., & Karaboga, D. (2012). Artificial bee colony algorithm for large-scale problems and engineering design optimization. Journal of Intelligent Manufacturing, 23(4), 1001–1014. doi:10.1007/s10845-010-0393-4.

    Article  Google Scholar 

  • Anderson, P. M., & Fouad, A. A. (2003). Power system control and stability (2nd ed.). Piscataway, NJ: Wiley-IEEE Press.

    Google Scholar 

  • Cai, L.-J., & Erlich, I. (2005). Simultaneous coordinated tuning of PSS and FACTS damping controllers in large power systems. IEEE Transactions on Power Systems, 20(1), 294–300. doi:10.1109/TPWRS.2004.841177.

    Article  Google Scholar 

  • Demello, F. P., & Concordia, C. (1969). Concepts of synchronous machine stability as affected by excitation control. IEEE Transactions on Power Apparatus and Systems, PAS, 88(4), 316–329. doi:10.1109/TPAS.1969.292452.

    Article  Google Scholar 

  • Fortes, E. V., Araujo, P. B., Macedo, L. H., Gamino, B. R., & Martins, L. F. B. (2016a). Analysis of the influence of PSS and IPFC-POD controllers in small-signal stability using a Simulated Annealing algorithm. In 2016 12th IEEE International Conference on Industry Applications (INDUSCON). doi:10.1109/INDUSCON.2016.7874512.

  • Fortes, E. V., Araujo, P. B., & Macedo, L. H. (2016). Coordinated tuning of the parameters of PI, PSS and POD controllers using a Specialized Chu-Beasley’s Genetic Algorithm. Electric Power Systems Research, 140, 708–721. doi:10.1016/j.epsr.2016.04.019.

    Article  Google Scholar 

  • Fortes, E. V., Macedo, L. H., Araujo, P. B., & Romero, R. (2018). A VNS algorithm for the design of supplementary damping controllers for small-signal stability analysis. International Journal of Electrical Power & Energy Systems, 94, 41–56. doi:10.1016/j.ijepes.2017.06.017.

    Article  Google Scholar 

  • Furini, M. A., & Araujo, P. B. (2008). Melhora da estabilidade dinâmica de sistemas elétricos de potência multimáquinas usando o dispositivo FACTS “thyristor-controlled series capacitor—TCSC”. SBA: Controle & Automação Sociedade Brasileira de Automática, 19(2), 214–225.

    Google Scholar 

  • Furini, M. A., Pereira, A. L. S., & Araujo, P. B. (2011). Pole placement by coordinated tuning of power system stabilizers and FACTS-POD stabilizers. International Journal of Electrical Power & Energy Systems, 33(3), 615–622. doi:10.1016/j.ijepes.2010.12.019.

    Article  Google Scholar 

  • Gao, W., Liu, S., & Huang, L. (2012). A global best artificial bee colony algorithm for global optimization. Journal of Computational and Applied Mathematics, 236(11), 2741–2753. doi:10.1016/j.cam.2012.01.013.

    Article  MATH  MathSciNet  Google Scholar 

  • Goldberg, D. E. (1989). Genetic algorithms in search, optimization, and machine learning (1st ed.). Boston, MA: Addison-Wesley.

    MATH  Google Scholar 

  • Gyugyi, L., Schauder, C. D., Williams, S. L., Rietman, T. R., Torgerson, D. R., & Edris, A. (1995). The unified power flow controller: A new approach to power transmission control. IEEE Transactions on Power Delivery, 10(2), 1085–1097. doi:10.1109/61.400878.

    Article  Google Scholar 

  • Hassan, L. H., Moghavvemi, M., Almurib, H. A. F., & Muttaqi, K. M. (2014). A coordinated design of PSSs and UPFC-based stabilizer using genetic algorithm. IEEE Transactions on Industry Applications, 50(5), 2957–2966. doi:10.1109/TIA.2014.2305797.

    Article  Google Scholar 

  • Hingorani, N. G., & Gyugyi, L. (2000). Understanding FACTS: Concepts and technology of flexible AC transmission systems (1st ed.). New York, NY: Wiley-IEEE Press.

    Google Scholar 

  • Huang, Z., Ni, Y., Shen, C. M., Wu, F. F., Chen, S., & Zhang, B. (2000). Application of unified power flow controller in interconnected power systems-modeling, interface, control strategy, and case study. IEEE Transactions on Power Systems, 15(2), 817–824. doi:10.1109/59.867179.

    Article  Google Scholar 

  • Karaboga, D. (2005). An idea based on honey bee swarm for numerical optimization. Technical Report-TR06, Erciyes University.

  • Karaboga, D., & Basturk, B. (2007). Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems. In P. Melin, O. Castillo, L. T. Aguilar, J. Kacprzyk, & W. Pedrycz (Eds.), Foundations of fuzzy logic and soft computing. Lecture notes in computer science (Vol. 4529). Berlin: Springer. doi:10.1007/978-3-540-72950-1_77.

    Google Scholar 

  • Karaboga, D., & Akay, B. (2009). A comparative study of artificial bee colony algorithm. Applied Mathematics and Computation, 214(1), 108–132. doi:10.1016/j.amc.2009.03.090.

    Article  MATH  MathSciNet  Google Scholar 

  • Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. 1995 IEEE International Conference on Neural Networks (ICNN). doi:10.1109/ICNN.1995.488968.

  • Kopcak, I., Costa, V. F., & Silva, L. C. P. (2007). A generalized load flow method including the steady state characteristic of dynamic devices. In 2007 IEEE Lausanne Power Tech. doi:10.1109/PCT.2007.4538297.

  • Kundur, P. (1994). Power system stability and control (1st ed.). New York, NY: McGraw-Hill Education.

    Google Scholar 

  • Larsen, E. V., & Swann, D. A. (1981). Applying power system stabilizers part II: Performance objectives and tuning concepts. IEEE Transactions on Power Apparatus and Systems, PAS, 100(6), 3025–3033. doi:10.1109/TPAS.1981.316410.

    Article  Google Scholar 

  • Martins, L. F. B., Gamino, B. R., Araujo, P. B., Fortes, E. V., & Miotto, E. L. (2016). Comparison between artificial bee colony and particle swarm optimization algorithms in the tuning of PSS and UPFC-POD controllers. In 2016 12th IEEE International Conference on Industry Applications (INDUSCON). doi:10.1109/INDUSCON.2016.7874534.

  • Menezes, M. M., Araujo, P. B., & Valle, D. B. (2016). Design of PSS and TCSC damping controller using particle swarm optimization. Journal of Control, Automation and Electrical Systems, 27(5), 554–561. doi:10.1007/s40313-016-0257-z.

    Article  Google Scholar 

  • Meng, Z. J., & So, P. L. (2000). A current injection UPFC model for enhancing power system dynamic performance. In 2000 IEEE Power Engineering Society Winter Meeting. doi:10.1109/PESW.2000.850212.

  • Noroozian, M., Angquist, L., Ghandhari, M., & Andersson, G. (1997). Use of UPFC for optimal power flow control. IEEE Transactions on Power Delivery, 12(4), 1629–1634. doi:10.1109/61.634183.

    Article  Google Scholar 

  • Pádua Júnior, C. R., Takahashi, A. L. M., Furini, M. A., & Araujo, P. B. (2013). Proposta de um modelo para análise de estabilidade a pequenas perturbações baseado na lei de Kirchhoff para correntes. In 2013 XI Simpósio Brasileiro de Automação Inteligente (SBAI).

  • Shayeghi, H., Safari, A., & Shayanfar, H. A. (2010). PSS and TCSC damping controller coordinated design using PSO in multi-machine power system. Energy Conversion and Management, 51(12), 2930–2937. doi:10.1016/j.enconman.2010.06.034.

    Article  Google Scholar 

  • Valle, D. B., & Araujo, P. B. (2015). The influence of GUPFC FACTS device on small signal stability of the electrical power systems. International Journal of Electrical Power & Energy Systems, 65, 299–306. doi:10.1016/j.ijepes.2014.10.012.

    Article  Google Scholar 

  • Yang, N., Liu, Q., & McCalley, J. D. (1998). TCSC controller design for damping interarea oscillations. IEEE Transactions on Power Systems, 13(4), 1304–1310. doi:10.1109/59.736269.

    Article  Google Scholar 

  • Zhenenko, G. N., & Farah, H. B. (1984). Simultaneous optimization of the adjustable parameters in multimachine power systems. Electric Power Systems Research, 7(2), 103–108. doi:10.1016/0378-7796(84)90019-1.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the Paraná Federal Institute of Education, Science, and Technology (IFPR), Coordination for the Improvement of Higher Education Personnel (CAPES), and the São Paulo Research Foundation (FAPESP), under Grant 2016/10992-9.

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Authors and Affiliations

  1. Paraná Federal Institute of Education, Science, and Technology, Avenida Doutor Tito, s/n, Jacarezinho, PR, 86400-000, Brazil

    Luís Fabiano Barone Martins

  2. São Paulo State University, Avenida Brasil Sul, 56, Centro, Ilha Solteira, SP, 15385-000, Brazil

    Percival Bueno de Araujo & Leonardo H. Macedo

  3. Goiás Federal Institute of Education, Science, and Technology, Rua Maria Vieira Cunha, 775, Residencial Flamboyant, Jataí, GO, 75804-714, Brazil

    Elenilson de Vargas Fortes

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  1. Luís Fabiano Barone Martins
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  2. Percival Bueno de Araujo
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  3. Elenilson de Vargas Fortes
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  4. Leonardo H. Macedo
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Correspondence to Luís Fabiano Barone Martins.

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Martins, L.F.B., de Araujo, P.B., de Vargas Fortes, E. et al. Design of the PI–UPFC–POD and PSS Damping Controllers Using an Artificial Bee Colony Algorithm. J Control Autom Electr Syst 28, 762–773 (2017). https://doi.org/10.1007/s40313-017-0341-z

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