New model of PEV parking lots in the presence of demand response uncertainties
In the presence of today’s environmental concerns, electric transportation services provide significant role of presenting secure and sustainable energy schemes. For this issue, plug-in electric vehicles (PEVs) are an unavoidable part of future smart grids which can provide clear and secure power fo...
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| Vydáno v: | Sustainable Energy, Grids and Networks Ročník 30; s. 100641 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.06.2022
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| ISSN: | 2352-4677, 2352-4677 |
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| Abstract | In the presence of today’s environmental concerns, electric transportation services provide significant role of presenting secure and sustainable energy schemes. For this issue, plug-in electric vehicles (PEVs) are an unavoidable part of future smart grids which can provide clear and secure power for different types of electrical energy consumers. In this case, PEVs-based demand response schemes present positive effects of supplying electric powers through smart grid consumers. In the case of evaluating PEV uncertainties, this paper presents a new demand response scheme considering the optimal performance of PEV parking lots through two different reserve markets and electrical energy systems. For this issue, based on the concepts of motivation-based and cost-based demand response programs (DRPs), an adaptive mathematical-based model is developed which considering different time steps, the optimal performance of PEV parking lots are evaluated. Also, based on the performance of several DRPs, the operational performance of PEVs are investigated accurately in which proper participation values with respect to each DRP scheme is estimated. In the case of electricity market uncertainties within different time durations, by using a stochastic-based programming structure, the stochastic performance of PEV parking lots are developed through optimization mathematical model. Numerical results indicate the effectiveness of the proposed approach for optimizing PEV parking lots through different DRPs with considerable effect through supplying sustainable energy. |
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| AbstractList | In the presence of today’s environmental concerns, electric transportation services provide significant role of presenting secure and sustainable energy schemes. For this issue, plug-in electric vehicles (PEVs) are an unavoidable part of future smart grids which can provide clear and secure power for different types of electrical energy consumers. In this case, PEVs-based demand response schemes present positive effects of supplying electric powers through smart grid consumers. In the case of evaluating PEV uncertainties, this paper presents a new demand response scheme considering the optimal performance of PEV parking lots through two different reserve markets and electrical energy systems. For this issue, based on the concepts of motivation-based and cost-based demand response programs (DRPs), an adaptive mathematical-based model is developed which considering different time steps, the optimal performance of PEV parking lots are evaluated. Also, based on the performance of several DRPs, the operational performance of PEVs are investigated accurately in which proper participation values with respect to each DRP scheme is estimated. In the case of electricity market uncertainties within different time durations, by using a stochastic-based programming structure, the stochastic performance of PEV parking lots are developed through optimization mathematical model. Numerical results indicate the effectiveness of the proposed approach for optimizing PEV parking lots through different DRPs with considerable effect through supplying sustainable energy. |
| ArticleNumber | 100641 |
| Author | Moghaddam, Mahmoud Samiei Ranjbar, Soheil Ahmadi, Saeid |
| Author_xml | – sequence: 1 givenname: Saeid surname: Ahmadi fullname: Ahmadi, Saeid organization: Department of Electrical Engineering, Damghan Branch, Islamic Azad University, Damghan, Iran – sequence: 2 givenname: Mahmoud Samiei surname: Moghaddam fullname: Moghaddam, Mahmoud Samiei email: Samiei352@yahoo.com organization: Department of Electrical Engineering, Damghan Branch, Islamic Azad University, Damghan, Iran – sequence: 3 givenname: Soheil surname: Ranjbar fullname: Ranjbar, Soheil organization: Department of Electrical Engineering, Velayat University, Iranshahr, Iran |
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| Cites_doi | 10.1109/TTE.2020.3005875 10.1109/TSG.2015.2403287 10.1109/TSG.2014.2311457 10.1109/TIA.2020.2984741 10.1109/TII.2020.2993815 10.1049/iet-est.2018.5062 10.1109/ACCESS.2020.3019815 10.1109/TSTE.2019.2935349 10.1109/TIA.2020.3010897 10.1109/TII.2019.2955997 10.1109/TSG.2020.2987009 10.1109/TSG.2020.2998072 10.1109/TSG.2017.2735636 10.1109/TPWRS.2014.2359919 10.1109/TSG.2015.2396065 10.1109/TSG.2014.2308217 10.1109/ACCESS.2020.3024773 10.1049/iet-esi.2019.0136 10.1109/TSTE.2015.2438037 10.1109/TPWRS.2019.2946178 10.1016/j.energy.2013.11.045 10.1109/TSG.2013.2290862 10.1109/TTE.2020.3000181 10.1109/TTE.2020.2971825 10.1109/PESW.2002.985227 10.1109/TIA.2020.2986980 10.1109/TSG.2013.2291384 |
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| Copyright | 2022 Elsevier Ltd |
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| Keywords | Demand response programs (DRP) Stochastic Programming Approach PEV parking lots Price-based Program Incentive-based Programs |
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| SubjectTerms | Demand response programs (DRP) Incentive-based Programs PEV parking lots Price-based Program Stochastic Programming Approach |
| Title | New model of PEV parking lots in the presence of demand response uncertainties |
| URI | https://dx.doi.org/10.1016/j.segan.2022.100641 |
| Volume | 30 |
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