Charge/Discharge Scheduling of Electric Vehicles and Battery Energy Storage in Smart Building: a Mix Binary Linear Programming model

Nowadays, the buildings have an important role on high demand of electricity energy. Therefore, the energy management of the buildings may have significant influence on reducing the electricity consumption. Moreover, Electric Vehicles (EVs) have been considering as a power storage devices in Smart B...

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Vydáno v:Advances in distributed computing and artificial intelligence journal Ročník 11; číslo 1; s. 81 - 96
Hlavní autoři: Foroozandeha, Zahra, Ramos, Sérgio, Soares, João, Zita, Vale, Gomes, António
Médium: Journal Article
Jazyk:angličtina
Vydáno: Salamanca Ediciones Universidad de Salamanca 01.01.2022
Témata:
battery energy storage system
Case studies
Charging
Cost analysis
Discharge
Electric vehicles
Electricity
Electricity consumption
Energy consumption
Energy management
energy resource management
Energy storage
Linear programming
mixed-binary linear programming
Power consumption
Smart buildings
ISSN:2255-2863, 2255-2863
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Shrnutí:Nowadays, the buildings have an important role on high demand of electricity energy. Therefore, the energy management of the buildings may have significant influence on reducing the electricity consumption. Moreover, Electric Vehicles (EVs) have been considering as a power storage devices in Smart Buildings (SBs) aiming to reduce the cost and consuming energy. Here, an energy management framework is proposed in which by considering the flexibility of the contracted power of each apartment, an optimal charging-discharging scheduled for EVs and Battery Energy Storage System (BESS) is defined over long time period to minimize the electricity cost of the building. The proposed model is design by a Mixed Binary Linear rogramming formulation (MBLP) that the charging and discharging of EVs as well as BESS in each period is treated as binary decision variables. In order to validate the model, a case study involving three scenarios are considered. The obtained results indicate a 15% reduction in total electricity consumption cost and consumption energy by the grid over a one year. Finally, the impact of capacity and charge/discharge rate of BESS on the power cost is analyzed and the optimal size of the BESS for assumed SB in the case study is also reported.
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ISSN:2255-2863
2255-2863
DOI:10.14201/adcaij.27904