Abstract
Battery management is key to enact the widespread use of microgrid-connected electric vehicles. We thoroughly review the literature and tackle the role of battery in the process of energy commercialization between the microgrids and utilities. In particular, by considering the battery management as a stochastic inventory control problem, we develop a dynamic programming model and we obtain an optimal policy for it. Then, we further explore the baseline model by investigating a scenario in which the microgrid is constrained by a budget defined a priori. Such a budget constraint captures situations when the microgrid profile is risk averse. We end by discussing the main issues that stem from such a budget constraint scenario.
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Acknowledgements
This research was partially supported by the Research Foundation of Minas Gerais State (FAPEMIG), Brazil (Grant Number: PPM-00149-12), by a scholarship supported by the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES) within the Ministry of Education of Brazil, and by the National Council for Scientific and Technological Development (CNPq), Brazil (Grant Number: 473966/2013-1 and 303906/2013-8).
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da Silva, H.B., Santiago, L.P. (2019). Optimal Energy Trading Policy for Solar-Powered Microgrids: A Modeling Approach Based on Plug-in Hybrid Electric Vehicles. In: Nazário Coelho, V., Machado Coelho, I., A.Oliveira, T., Ochi, L.S. (eds) Smart and Digital Cities. Urban Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-12255-3_16
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DOI: https://doi.org/10.1007/978-3-030-12255-3_16
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