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The presence of electric vehicles (EVs) directly affects the low voltage electric distribution networks. This article depicts the anticipated problems that occurred when it draws power from grid to vehicle in the charging scenario and critically analyze EV as dynamic storage while feeding the power grid in the discharging status (vehicle to grid). The merits and demerits by deploying the mass integration of EVs into the distribution network are comprehensively investigated. Moreover, the challenges of integrating renewable energy resources and deployment of EVs, for the efficient, reliable, and uninterruptible power flow are covered. The future scopes of electric mobility industry including wireless EV charging, vehicle to home, cloud to home charging are also highlighted. This comprehensive review is highly beneficial for the research community and design engineers working in this area. K E Y W O R D Selectric vehicles, grid to vehicle, power charger, power stability, renewable energy resources, smart grid, vehicle to grid

Resistive leakage current based condition assessment of metal oxide surge arrester (MOSA) is one of the most extensively employed technique to monitor its degradation. An extraction method is customarily required to extract the resistive component from the total leakage current. The existing methods to extract the resistive current are complex and less accurate. Therefore, this paper describes a simple and accurate circuit-based method to extract the resistive current using equivalent model and measured leakage current of the arrester. The accuracy of the proposed method is validated through experimental results on ABB’s 120 kV surge arrester, EMTP and QuickField software simulations. The performance of the method is also analyzed and verified experimentally on 72, 180 and 240 kV rated ABB’s surge arresters. The obtained results of resistive leakage current have shown the maximum error of 0.001%. Simple and easier computational steps with higher accuracy are the key benefits of the proposed technique.

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In pulsed electric field (PEF) treatment, non-uniform distributions of the electric field and temperature are problematic within a treatment chamber. The helical shape has a favorable feature of flow that facilitates to resolve these issues. This work was performed to determine the optimal design of the helically shaped treatment chamber and its proficiency in the quality and stability of liquid foods. The uniformity of the electric field was evaluated using numerical simulation. The simulations were validated through three different designs of the helical chambers to treat the liquid samples of mango, pineapple, and coconut milk. The consequence of the treatments and the storage time were monitored through physicochemical and microbial analysis of the treated samples. This treatment process causes a temperature rise of less than 10%. The beverages treated inside the helical treatment chamber were stable up to 7 days of storage at ambient storage condition (25 °C) by minimizing quality changes and reducing microbial growth.

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