Economic-environmental energy supply of mobile base stations in isolated nanogrids with smart plug-in electric vehicles and hydrogen energy storage system

The mobile base stations (MBS) are fundamental communication devices that ensure the constant stream of interconnectivity. However, they are mostly installed in off-grid regions. This study investigates the economic-environmental energy supply of a MBS in an isolated nanogrid (ING) that also include...

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Veröffentlicht in:International journal of hydrogen energy Jg. 48; H. 10; S. 3725 - 3739
Hauptverfasser: Bahri, Reza, Zeynali, Saeed, Nasiri, Nima, Keshavarzi, Mohamad Reza
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.02.2023
Schlagworte:
Economic-environmental operation
Hydrogen energy storage
Mixed-integer second-order cone programming
Mobile base station
Plug-in electric vehicles
Robust optimization
Plug-in electric vehicles
Hydrogen energy storage
Robust optimization
Mixed-integer second-order cone programming
Mobile base station
Economic-environmental operation
ISSN:0360-3199, 1879-3487
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Zusammenfassung:The mobile base stations (MBS) are fundamental communication devices that ensure the constant stream of interconnectivity. However, they are mostly installed in off-grid regions. This study investigates the economic-environmental energy supply of a MBS in an isolated nanogrid (ING) that also includes a hydrogen energy storage system (HES), photovoltaic (PV) system, controllable plug-in electric vehicles (PEV) and a diesel generator (DG). A novel mixed-integer second-order cone programming (MISOCP) formulation is proposed to capture the nonlinearities of the various components through a convex optimization model. The study included different uncertainties including the traffic rate of the MBS, driving schedule of the PEVs, and PV generation via a hybrid stochastic programming (SP) and robust optimization (RO) methods. The influence of the coordinated PEV charging strategy, risk-averse RO and multi-objective optimization was studied through various case studies. The outcomes show that coordinated PEV-charging can have a significant contribution in reducing the risks and curtailing both cost and emission objective functions, while using economic-environmental operation model can cut the emissions by 17.70%. •An economic-environmental energy supply framework for mobile base stations.•The impact of coordinated plug-in electric vehicle charging is scrutinized.•A mixed-integer second-order cone programming approach is deployed.•The uncertainties in communication traffic, PV generation and behavioural patterns of PEVs are modelled.•The proposed model leads to 17.7% lower emission in isolated nanogrids.
ISSN:0360-3199
1879-3487
DOI:10.1016/j.ijhydene.2022.10.219