Abstract
Power conversions deploying in fast charging stations of electric vehicles (EVs) are vulnerable to instabilities during certain operating conditions. Additional connected loads for charging large number of EV batteries can compromise the whole system reliability and impose thermal stress on the storage device/ generation sources interfaced on the common DC-bus system. Stability assessment by small-signal impedance measurements are not necessarily efficient to predict large-signal stability characteristics. This study addresses a robust and optimal control scheme to overcome instabilities in different operating conditions when Vehicle-to-Grid technology is incorporated. An integrated perturbation strategy with sequential quadratic optimization (IPSQO) algorithm is applied to optimize the charging load of EVs and achieve the peak shaving load. Outcomes of case study analysis are provided to verify the proposed control strategy effectiveness.
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