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Frequency Control in Microgrid Power System with Renewable Power Generation Using PID Controller Based on Particle Swarm Optimization

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 102)

Abstract

This paper addresses an application of proportional-integral-derivation (PID) controller based Particle Swarm Optimisation for frequency control of a microgrid power system with the integration of wind power generation and PV generator. Fuel cell and diesel engine generator are used as secondary sources. The Energy Storage System is often applied in the microgrid system for supply energy to the connected load. Particle Swarm Optimization is used to tune the gains of the PID controller through revolving of an objective function. The PSO is robust and more efficient optimization method. The main objective of this work is to reduce the fluctuations of the system frequency and power system. The reults shows that the PID controller based PSO given better performances of system for frequency and power regulation in comparison with PID controller based Genetic Algorithm.

Keywords

  • Renewable energy
  • Hybrid power system
  • PID controller
  • Frequency control
  • Particle Swarm Optimization

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References

  1. Bouzid, A.M., Guerrero, J.M., Cheriti, A., Bouhamida, M., Sicard, P., Benghanem, M.: A survey on control of electric power distributed generation systems for microgrid applications. Renew. Sustain. Energy Rev. 44, 751–766 (2015)

    CrossRef  Google Scholar 

  2. Anwar, M.N., Pan, S.: A frequency response model matching method for PID controller design for processes with dead-time. ISA Trans. 55, 175–187 (2015)

    CrossRef  Google Scholar 

  3. Senjyu, T., Nakaji, T., Uezato, K., Funabashi, T.: A hybrid power system using alternative energy facilities in isolated Island. IEEE Trans. Energy Convers. 20(2), 406–414 (2005)

    CrossRef  Google Scholar 

  4. Mahmoud, M.S., Hussain, S.A., Abido, M.A.: Modeling and control of microgrid: an overview. J. Franklin Inst. 351(5), 2822–2859 (2014)

    CrossRef  Google Scholar 

  5. Das, D.C., Roy, A.K., Sinha, N.: GA based frequency controller for solar thermal–diesel–wind hybrid energy generation/energy storage system. Int. J. Electr. Power Energy Syst. 43(1), 262–279 (2012)

    CrossRef  Google Scholar 

  6. Das, D.C., Roy, A.K., Sinha, N.: Genetic algorithm based PI controller for frequency control of an autonomous hybrid generation system. In: World Congress on Engineering 2012, London, UK., 4–6 July 2012, vol. 2189, pp. 953–958. International Association of Engineers, March (2010)

    Google Scholar 

  7. Shayanfar, H.A., Shayeghi, H., Younesi, A.: Optimal PID controller design using Krill Herd algorithm for frequency stabilizing in an isolated wind-diesel system. In: Proceedings on the International Conference on Artificial Intelligence (ICAI), p. 516. The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) (2015)

    Google Scholar 

  8. Shayanfar, H.A., Shayeghi, H., Younesi, S.A.A.: Design of optimal PID controller using Jaya algorithm for frequency stabilizing. In: An Isolated Wind-Diesel System (2016)

    Google Scholar 

  9. Iruthayarajan, M.W., Baskar, S.: Evolutionary algorithms based design of multivariable PID controller. Expert Syst. Appl. 36(5), 9159–9167 (2009)

    CrossRef  Google Scholar 

  10. Kerdphol, T., Fuji, K., Mitani, Y., Watanabe, M., Qudaih, Y.: Optimization of a battery energy storage system using particle swarm optimization for stand-alone microgrids. Int. J. Electr. Power Energy Syst. 81, 32–39 (2016)

    CrossRef  Google Scholar 

  11. Rajesh, K.S., Dash, S.S.: Load frequency control of autonomous power system using adaptive fuzzy based PID controller optimized on improved sine cosine algorithm. J. Ambient Intell. Humaniz. Comput. 10(6), 2361–2373 (2019)

    CrossRef  Google Scholar 

  12. Ranjan, S., Das, D.C., Latif, A., Sinha, N.: LFC for autonomous hybrid micro grid system of 3 unequal renewable areas using mine blast algorithm. Int. J. Renew. Energy Res. (IJRER) 8(3), 1297–1308 (2018)

    Google Scholar 

  13. Debbarma, S., Bhattacharya, M., Meena, B. K., Datta, A.: Frequency control of autonomous hybrid power system using smart controllable load. In: 2015 International Conference on Robotics, Automation, Control and Embedded Systems (RACE), pp. 1–7. IEEE, February 2015

    Google Scholar 

  14. Maiti, D., Biswas, S., Konar, A.: Design of a fractional order PID controller using particle swarm optimization technique. arXiv preprint arXiv:0810.3776 (2008)

  15. Lee, D.J., Wang, L.: Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: time-domain simulations. IEEE Trans. Energy Convers. 23(1), 311–320 (2008)

    CrossRef  Google Scholar 

  16. Pan, I., Das, S.: Kriging based surrogate modeling for fractional order control of microgrids. IEEE Trans. Smart Grid 6(1), 36–44 (2014)

    CrossRef  Google Scholar 

  17. Ray, P., Mohanty, S., Kishor, N.: Small-signal analysis of autonomous hybrid distributed generation systems in presence of ultracapacitor and tie-line operation. J. Electr. Eng. 61(4), 205–214 (2010)

    Google Scholar 

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Regad, M., Helaimi, M., Taleb, R., Othman, A.M., Gabbar, H.A. (2020). Frequency Control in Microgrid Power System with Renewable Power Generation Using PID Controller Based on Particle Swarm Optimization. In: Hatti, M. (eds) Smart Energy Empowerment in Smart and Resilient Cities. ICAIRES 2019. Lecture Notes in Networks and Systems, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-37207-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-37207-1_1

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  • Publisher Name: Springer, Cham

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