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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| Published in: | International journal of hydrogen energy Vol. 48; no. 10; pp. 3725 - 3739 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier Ltd
01.02.2023
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| ISSN: | 0360-3199, 1879-3487 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Keshavarzi, Mohamad Reza Nasiri, Nima Bahri, Reza Zeynali, Saeed |
| Author_xml | – sequence: 1 givenname: Reza surname: Bahri fullname: Bahri, Reza email: reza.bahri@itrc.ac.ir organization: ICT Research Institute, Iran Telecommunication Research Center (ITRC), Tehran, Iran – sequence: 2 givenname: Saeed surname: Zeynali fullname: Zeynali, Saeed organization: University of Tabriz, Tabriz, Iran – sequence: 3 givenname: Nima surname: Nasiri fullname: Nasiri, Nima organization: Azarbaijan Shahid Madani University, Tabriz, Iran – sequence: 4 givenname: Mohamad Reza surname: Keshavarzi fullname: Keshavarzi, Mohamad Reza organization: ICT Research Institute, Iran Telecommunication Research Center (ITRC), Tehran, Iran |
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| Keywords | Plug-in electric vehicles Hydrogen energy storage Robust optimization Mixed-integer second-order cone programming Mobile base station Economic-environmental operation |
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