Print Email Facebook Twitter Energy Management System with PV Power Forecast to Optimally Charge EVs at the Workplace Title Energy Management System with PV Power Forecast to Optimally Charge EVs at the Workplace Author van der Meer, Dennis (Uppsala University) Chandra Mouli, G.R. (TU Delft DC systems, Energy conversion & Storage) Morales-Espana, G. (TU Delft Algorithmics) Ramirez Elizondo, L.M. (TU Delft DC systems, Energy conversion & Storage) Bauer, P. (TU Delft DC systems, Energy conversion & Storage) Date 2018 Abstract This paper presents the design of an energy management system (EMS) capable of forecasting photovoltaic (PV) power production and optimizing power flows between PV system, grid, and battery electric vehicles (BEVs) at the workplace. The aim is to minimize charging cost while reducing energy demand from the grid by increasing PV self-consumption and consequently increasing sustainability of the BEV fleet. The developed EMS consists of two components: An autoregressive integrated moving average model to predict PV power production and a mixed-integer linear programming framework that optimally allocates power to minimize charging cost. The results show that the developed EMS is able to reduce charging cost significantly, while increasing PV self-consumption and reducing energy consumption from the grid. Furthermore, during a case study analogous to one repeatedly considered in the literature, i.e., dynamic purchase tariff and dynamic feed-in tariff, the EMS reduces charging cost by 118.44 % and 427.45% in case of one and two charging points, respectively, when compared to an uncontrolled charging policy. Subject Autoregressive integrated moving average (ARIMA)electric vehiclesenergy management system (EMS)forecastmixed-integer linear programming (MILP)solar carport To reference this document use: http://resolver.tudelft.nl/uuid:7d687d6f-a2b2-41f9-965a-c89bc25e331a DOI https://doi.org/10.1109/TII.2016.2634624 Embargo date 2021-12-03 ISSN 1551-3203 Source IEEE Transactions on Industrial Informatics, 14 (1), 311-320 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2018 Dennis van der Meer, G.R. Chandra Mouli, G. Morales-Espana, L.M. Ramirez Elizondo, P. Bauer Files PDF Energy_Management_System_ ... kplace.pdf 1.07 MB Close viewer /islandora/object/uuid:7d687d6f-a2b2-41f9-965a-c89bc25e331a/datastream/OBJ/view