Abstract
The aim of this study is to improve the performance of wind energy conversion system (WECS) based on permanent magnet synchronous generator (PMSG) using an optimized synergetic control by hybrid BFO-PSO. For this, it is synthesized on one hand a new synergetic controller model of PMSG which can guarantee fast response, asymptotic stability of the closed-loop system in the all range operating condition, and system robustness in presence of parameter variation. On the other one, to overcome the problem of synergetic controller parameter tuning, it is proposed in this work, hybrid BFO-PSO the algorithm which allow obtaining the optimal parameter of proposed regulator and consequently improve the performance of control system. Moreover, in order to make sure that the speed generator continues effectively the variation of the wind speed and guarantee the maximum extracted power from the wind energy the hill-climb search (HCS) fuzzy-based MPPT was proposed.
The obtained simulation results illustrate clearly the efficiency of proposed method witch work effectively under very variable wind speed and with high-performances compare to the conventional HCS.
Keywords
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Blaabjerg, F., Ma, K.: Application of power electronics. In: Proceedings of the IEEE Wind Energy System, vol. 105, pp. 2116–2131 (2017)
Awadallah, A.: Parameter estimation of induction machines from nameplate data using particle swarm optimization and genetic algorithm techniques. In: Electric Power Components and Systems, pp. 801–814 (2008). https://doi.org/10.1080/15325000801911393
Retif, J.M.: Vector control of permanent magnetic synchronous machine. In: Vector Control of Asynchronous and Synchronous Machines, INSA, Lyon, p. 19 (2008)
Kolesnikov, A.: Introduction of synergetic control. In: American Control Conference, Portland, Oregon, USA, June, pp. 3013–3016 (2014)
Kolesnikov, A., Veselov, G.: A synergetic approach to the modeling of power electronic systems. In: Proceedings of COMPEL, Blacksburg, VA (2000)
Laribi, M., Ait Cheikh, M.S., Larbes, C., Essounbouli, N., Hamzaoui, A.: A sliding mode and synergetic control approach applied to induction motor. In: Proceedings of the 3rd International Conference on Systems and Control (2013)
Mingliang, Z., Tao, W.: A sliding mode and synergetic control approaches applied to permanent magnet synchronous motor. J. Phys. Conf. Ser. 1087 (2018). https://doi.org/10.1088/1742-6596/1087/4/042012
Wang, Y.K., Wang, J.S.: Optimization of PID controller based on PSO-BFO algorithm. In: IEEE 2016 28th Chinese Control and Decision Conference (CCDC), vol. 978, pp. 4633–4638 (2016)
Jogendra, S., Thongam, M.O.: MPPT control methods in wind energy conversion systems. In: Fundamental and Advanced Topics in Wind Power (2011). ISBN: 978-953-307-508-2. http://www.intechopen.com/books/fundamental-and-advancedtopics-in-wind-power/mppt-control-methods-in-wind-energy-conversion-systems
Mousa, H., Youssef, A., Mohamed, E.: Adaptive P&O MPPT algorithm based wind generation system using realistic wind fluctuations. Int. J. Electr. Power Energy Syst. (2019). https://doi.org/10.1016/j.ijepes.2019.04.038
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Beghdadi, M., Kouzi, K., Ameur, A. (2020). New Design of an Optimized Synergetic Control by Hybrid BFO-PSO for PMSG Integrated in Wind Energy Conversion System Using Variable Step HCS Fuzzy MPPT. 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_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-37207-1_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-37206-4
Online ISBN: 978-3-030-37207-1
eBook Packages: EngineeringEngineering (R0)