Whale Optimization Algorithm for Active Damping of LCL-Filter-based Grid-Connected Converters

Mohammed Mazen ALhato, Soufiene Bouallègue

Abstract


Grid-connected converters which are equipped with LCL-filters have drawn more and more attention due to theircapability to accomplish a better harmonic reduction in comparison with the L-filters based ones. However, due to the resonance problem of the LCL-filters, stability issues may emerge inthe current loop in case of the resonance peak is not fairlydamped. Active damping strategy is preferred to the passive one due to the power losses on passive resistor and its additional cost. The capacitor current feedback active damping control approach, which is based on voltage oriented of Proportional Integral (PI), can beadopted as a good candidate to outperform the resonance hazard. Since the selection of PI controllers’ parameters and capacitor current gains byiterativetrials-errors based procedure becomes a time consuming and difficult task, an optimization problem under operating time-domain restrictions is modeled for tuning these decision variables. Such an optimization based-current feedback active damping control problem is managed by means of the advanced Whale Optimization Algorithm (WOA). To evaluate the effectiveness of the introducedWOA metaheuristic, an empirical comparison study with the homologous Water Cycle Algorithm (WCA), Grey Wolf Optimizer (GWO), Artificial Bee Colony (ABC) and Particle Swarm Optimization methods is achieved. Statistical analysis is performed by using nonparametric Friedman’s rank and Bonferroni-Dunn’s test to check the significance of each algorithm. Demonstrative simulations highlight that the WOA method provides competitive solutions in terms of robustness and performance for the active damping controllers’ tuning problem.   

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References


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DOI (PDF): https://doi.org/10.20508/ijrer.v9i2.9178.g7663

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