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.
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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
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DOI: https://doi.org/10.1007/978-3-030-37207-1_4
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