Energy Management System With PV Power Forecast to Optimally Charge EVs at the Workplace

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 f...

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Veröffentlicht in:	IEEE transactions on industrial informatics Jg. 14; H. 1; S. 311 - 320
Hauptverfasser:	van der Meer, Dennis, Mouli, Gautham Ram Chandra, Mouli, German Morales-Espana, Ramirez Elizondo, Laura, Bauer, Pavol
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Autoregressive integrated moving average (ARIMA) Autoregressive models Autoregressive processes Batteries Charging Cost engineering Economic forecasting Electric vehicles Energy conservation Energy consumption Energy management energy management system (EMS) forecast Integer programming Linear programming Load forecasting Mixed integer linear programming mixed-integer linear programming (MILP) Optimization Photovoltaic cells Photovoltaic systems solar carport Solar cells Tariffs
ISSN:	1551-3203, 1941-0050
Online-Zugang:	Volltext
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