Abstract
The smart charging of electric vehicles (EVs) in grid-to-vehicle (G2V) networks has evolved as a potential solution to enhance the energy efficiency and stability of the grid. However, uncontrolled charging of EVs can lead to the grid instability, which can be avoided if the charging of EVs is appropriately scheduled in the grid. Motivated by this, we herein proposed two algorithms viz., centralized charging algorithm (CCA) and iterative decentralized charging algorithm (IDCA) to optimally schedule the charging of EVs in G2V networks. In CCA, the central aggregator instructs the sub-aggregator (i.e. EVs aggregator) to collect the charging request from the set of EVs. Whereas, in IDCA, the charging request of EVs is controlled only by the central aggregator. To implement this algorithm, we use an additive-increase multiplicative-decrease (AIMD) approach. In both the algorithms, we adopt a time-of-use (TOU) electricity model in order to monitor the energy drawn from the grid in different time instants. Finally, both the algorithms are tested and validated using MATLAB simulations.
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Anand, H., Agarwal, A., Shukla, P., Yadav, S. (2020). Smart Charging of Electric Vehicles in Grid-to-Vehicle (G2V) Networks. In: Pillai, R., et al. ISGW 2018 Compendium of Technical Papers. ISGW 2018. Lecture Notes in Electrical Engineering, vol 580. Springer, Singapore. https://doi.org/10.1007/978-981-32-9119-5_31
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DOI: https://doi.org/10.1007/978-981-32-9119-5_31
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