Decentralized EV charging and discharging scheduling algorithm based on Type-II fuzzy-logic controllers
Electric vehicles suppose a new paradigm in mobility and a challenge for today electric grids because its number increases day by day. Therefore, it is of paramount importance to keep the electric grid stable to allow an efficient charging of electric vehicles, besides keeping the traditional energy...
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| Vydáno v: | Journal of energy storage Ročník 93; s. 112054 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
15.07.2024
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| Témata: | |
| ISSN: | 2352-152X, 2352-1538 |
| On-line přístup: | Získat plný text |
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| Abstract | Electric vehicles suppose a new paradigm in mobility and a challenge for today electric grids because its number increases day by day. Therefore, it is of paramount importance to keep the electric grid stable to allow an efficient charging of electric vehicles, besides keeping the traditional energy services for every other electric devices in industry, cities and homes. To achieve that, the process of charging and discharging of electric vehicles should be taken under consideration to allow an efficient use of the available energy in the grid and batteries. As a consequence, new intelligent control systems have to be developed because uncontrolled charging of electric vehicles can not only cause grid instability, but at certain times of day can be a significant cost to the user. It is therefore important not only to make intelligent control, but also to take advantage of the charging/discharging capacity of electric vehicles and charging stations, so that not only the grid can be stabilized, but also the cost of electric vehicle charging can be significantly reduced. In the present work, we propose a type-II fuzzy cascade controller that will be run in every electric vehicle following a decentralized approach when it is plugged. In the first level of the controller the need and urgency of charging/discharging are evaluated based on grid voltage that the EV charging station measures. The electricity prices are also considered in this first phase. In the second level, the amount of charging/discharging energy is finally decided based on the battery state and the time remaining for departure specified by the user. The implemented type-II fuzzy controller presents an significant advantage compares to type-I systems because of its better suitability for systems where measures have high levels of uncertainty like those existing in the electric grid or batteries. The controller has been tested on a branch type distribution network, where load demand and energy cost vary dynamically over a three days simulation period. Finally, the results obtained have been compared with other fuzzy controllers proposed in other articles, where similar parameters are taken into account, showing the proposed system a better behavior that those controllers.
•Definition of a decentralized algorithm for V2G scheduling.•The algorithm is based on type-II fuzzy logic.•The algorithm copes with errors in users’ estimations and measurements.•The proposed controller is tested for a fleet of EVs connected to a distribution network. |
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| AbstractList | Electric vehicles suppose a new paradigm in mobility and a challenge for today electric grids because its number increases day by day. Therefore, it is of paramount importance to keep the electric grid stable to allow an efficient charging of electric vehicles, besides keeping the traditional energy services for every other electric devices in industry, cities and homes. To achieve that, the process of charging and discharging of electric vehicles should be taken under consideration to allow an efficient use of the available energy in the grid and batteries. As a consequence, new intelligent control systems have to be developed because uncontrolled charging of electric vehicles can not only cause grid instability, but at certain times of day can be a significant cost to the user. It is therefore important not only to make intelligent control, but also to take advantage of the charging/discharging capacity of electric vehicles and charging stations, so that not only the grid can be stabilized, but also the cost of electric vehicle charging can be significantly reduced. In the present work, we propose a type-II fuzzy cascade controller that will be run in every electric vehicle following a decentralized approach when it is plugged. In the first level of the controller the need and urgency of charging/discharging are evaluated based on grid voltage that the EV charging station measures. The electricity prices are also considered in this first phase. In the second level, the amount of charging/discharging energy is finally decided based on the battery state and the time remaining for departure specified by the user. The implemented type-II fuzzy controller presents an significant advantage compares to type-I systems because of its better suitability for systems where measures have high levels of uncertainty like those existing in the electric grid or batteries. The controller has been tested on a branch type distribution network, where load demand and energy cost vary dynamically over a three days simulation period. Finally, the results obtained have been compared with other fuzzy controllers proposed in other articles, where similar parameters are taken into account, showing the proposed system a better behavior that those controllers.
•Definition of a decentralized algorithm for V2G scheduling.•The algorithm is based on type-II fuzzy logic.•The algorithm copes with errors in users’ estimations and measurements.•The proposed controller is tested for a fleet of EVs connected to a distribution network. |
| ArticleNumber | 112054 |
| Author | López, Alejandro Cuevas, Juan C. Triviño, Alicia Yuste, Antonio J. |
| Author_xml | – sequence: 1 givenname: Alicia orcidid: 0000-0002-7516-2878 surname: Triviño fullname: Triviño, Alicia email: atc@uma.es organization: Universidad de Málaga - Escuela de Ingenierías Industriales, 29010 Málaga, Spain – sequence: 2 givenname: Alejandro surname: López fullname: López, Alejandro organization: Universidad de Málaga - Escuela de Ingenierías Industriales, 29010 Málaga, Spain – sequence: 3 givenname: Antonio J. surname: Yuste fullname: Yuste, Antonio J. organization: Departamento de Ingeniería de Telecomunicación - Universidad de Jaén - E. P. S. de Linares, Cinturón Sur s/n, 23700 Linares (Jaén), Spain – sequence: 4 givenname: Juan C. surname: Cuevas fullname: Cuevas, Juan C. organization: Departamento de Ingeniería de Telecomunicación - Universidad de Jaén - E. P. S. de Linares, Cinturón Sur s/n, 23700 Linares (Jaén), Spain |
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| Keywords | Fuzzy logic Type-I Two-stage Electric vehicle Scheduling G2V V2G Type-II |
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