Abstract
In the coming years, charging of electric vehicles (EVs) may impose significant power loads on the existing utility system. Alternatively, the integration of EVs with distributed generation units may cause several uncertainties in microgrids. In such situations, controlling the frequency of microgrids will be a challenging task. Consequently, this calls for the requirement of implementing proper control techniques for utilizing EVs potential to act both as source and load. This paper proposes and evaluates the performance of the Primary ANFIS MPPT Controller for PV systems and Secondary ANFIS EV Controller for EV charging stations. The Primary ANFIS MPPT controller strictly monitors the power extracted from photovoltaic systems in different temperature and irradiance conditions. The Secondary ANFIS EV Controller schedules charging/discharging of plugged-in EVs w.r.t microgrid’s frequency and EV battery’s state of charge. To investigate the performance of proposed smart controllers, a hybrid solar-powered AC-DC microgrid is designed and tested. Dynamic simulations performed in MATLAB/Simulink demonstrate the right performance of smart ANFIS controllers in terms of frequency control. Moreover, extensive comparison studies conducted between proposed methods and existing techniques justify the higher suitability of developed controllers.
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