The COVID-19 pandemic has created the largest disruption of education systems in human history, affecting nearly 1.6 billion learners in more than 200 countries. Closures of schools, institutions and other learning spaces have impacted more than 94% of the world’s student population. This has brought far-reaching changes in all aspects of our lives. Social distancing and restrictive movement policies have significantly disturbed traditional educational practices. Reopening of schools after relaxation of restriction is another challenge with many new standard operating procedures put in place. Within a short span of the COVID-19 pandemic, many researchers have shared their works on teaching and learning in different ways. Several schools, colleges and universities have discontinued face-to-face teachings. There is a fear of losing 2020 academic year or even more in the coming future. The need of the hour is to innovate and implement alternative educational system and assessment strategies. The COVID-19 pandemic has provided us with an opportunity to pave the way for introducing digital learning. This article aims to provide a comprehensive report on the impact of the COVID-19 pandemic on online teaching and learning of various papers and indicate the way forward.

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The global shift of vehicular transportation from conventional cars to electric vehicles present yet another challenge for the power utilities in meeting the growing demand for Electric Vehicles (EV). Large penetration of electric vehicles can have numerous impacts on the electric grid if left unaddressed. This paper presents the assessment of the impact of EV charging on the electricity distribution network at different penetration levels. A model of an existing electricity distribution network of Thimphu, the capital city of Bhutan was developed in DIgSILENT power factory simulation software. The impact of EV charging on the existing electricity distribution network was analysed based on three hypothetical assumptions, current status-quo, low uptake level, and high uptake level. The impacts were evaluated on two key parameters, the voltage stability, and the transformer loading. The load flow simulation indicated that a low voltage violation was triggered even at a low penetration level of 0.28% and the maximum penetration level is attained at 37.68% where the whole system is likely to breakdown due to severe voltage collapse on the distribution system. Based on the simulation results, a mitigation technique for voltage correction has been discussed.

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