Day‐ahead charging operation of electric vehicles with on‐site renewable energy resources in a mixed integer linear programming framework
The large‐scale penetration of electric vehicles (EVs) into the power system will provoke new challenges needed to be handled by distribution system operators (DSOs). Demand response (DR) strategies play a key role in facilitating the integration of each new asset into the power system. With the aid...
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| Vydáno v: | IET smart grid Ročník 3; číslo 3; s. 367 - 375 |
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| Hlavní autoři: | , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Durham
The Institution of Engineering and Technology
01.06.2020
John Wiley & Sons, Inc Wiley |
| Témata: | |
| ISSN: | 2515-2947, 2515-2947 |
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| Abstract | The large‐scale penetration of electric vehicles (EVs) into the power system will provoke new challenges needed to be handled by distribution system operators (DSOs). Demand response (DR) strategies play a key role in facilitating the integration of each new asset into the power system. With the aid of the smart grid paradigm, a day‐ahead charging operation of large‐scale penetration of EVs in different regions that include different aggregators and various EV parking lots (EVPLs) is propounded in this study. Moreover, the uncertainty of the related EV owners, such as the initial state‐of‐energy and the arrival time to the related EVPL, is taken into account. The stochasticity of PV generation is also investigated by using a scenario‐based approach related to daily solar irradiation data. Last but not least, the operational flexibility is also taken into consideration by implementing peak load limitation (PLL) based DR strategies from the DSO point of view. To reveal the effectiveness of the devised scheduling model, it is performed under various case studies that have different levels of PLL, and for the cases with and without PV generation. |
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| AbstractList | The large‐scale penetration of electric vehicles (EVs) into the power system will provoke new challenges needed to be handled by distribution system operators (DSOs). Demand response (DR) strategies play a key role in facilitating the integration of each new asset into the power system. With the aid of the smart grid paradigm, a day‐ahead charging operation of large‐scale penetration of EVs in different regions that include different aggregators and various EV parking lots (EVPLs) is propounded in this study. Moreover, the uncertainty of the related EV owners, such as the initial state‐of‐energy and the arrival time to the related EVPL, is taken into account. The stochasticity of PV generation is also investigated by using a scenario‐based approach related to daily solar irradiation data. Last but not least, the operational flexibility is also taken into consideration by implementing peak load limitation (PLL) based DR strategies from the DSO point of view. To reveal the effectiveness of the devised scheduling model, it is performed under various case studies that have different levels of PLL, and for the cases with and without PV generation. |
| Author | Catalão, João P.S. Şengör, İbrahim Taşcıkaraoğlu, Akın Erenoğlu, Ayşe Kübra Erdinç, Ozan |
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| Cites_doi | 10.1109/TSG.2015.2496796 10.1109/TPWRS.2016.2609416 10.1109/TSG.2015.2505298 10.1109/TTE.2018.2869469 10.1109/ICVES.2019.8906320 10.1109/SMC.2019.8914245 10.1109/TSG.2017.2707103 10.1109/TSG.2016.2613546 10.1109/TSG.2017.2715259 10.1109/TSTE.2013.2264498 10.1109/TSG.2015.2404892 10.1109/ACCESS.2019.2925559 10.1109/TSG.2017.2728368 10.1049/iet-gtd.2016.1406 10.1016/j.rser.2016.11.167 10.1109/TSG.2017.2697917 10.1109/TSTE.2013.2274601 10.1109/ACCESS.2019.2917297 10.1109/TSTE.2016.2617679 10.1109/ISGTEurope.2014.7028977 10.1109/TSG.2015.2403287 10.1109/TSG.2014.2311457 10.1109/TSG.2017.2693272 |
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| Snippet | The large‐scale penetration of electric vehicles (EVs) into the power system will provoke new challenges needed to be handled by distribution system operators... The large-scale penetration of electric vehicles (EVs) into the power system will provoke new challenges needed to be handled by distribution system operators... |
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| SubjectTerms | Alternative energy sources Approximation arrival time B0260 Optimisation techniques B8110B Power system management, operation and economics B8250 Solar power stations and photovoltaic power systems B8260 Other power stations and plants B8520 Transportation battery storage plants daily solar irradiation data day-ahead charging operation demand response strategies Demand side management different aggregators distribution system operators DR strategies DSOs Electric power systems Electric vehicle charging Electric vehicles Electricity Emissions Energy distribution Energy efficiency Energy management Energy sources Environmental impact EV parking lots EVPLs Facilities planning Greenhouse gases Integer programming large-scale penetration Linear programming Mixed integer mixed integer linear programming framework on-site renewable energy resources operational flexibility Peak load peak load limitation peak load limitation based DR strategies Photovoltaic cells photovoltaic power systems PLL power generation scheduling power system pricing PV generation related EV owners related EVPL Renewable resources scenario-based approach Smart grid smart grid paradigm smart power grids Solar radiation state-of-energy Variables |
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| Title | Day‐ahead charging operation of electric vehicles with on‐site renewable energy resources in a mixed integer linear programming framework |
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