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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kordkheili, R.A. Bak-Jensen, B. Pillai, J.R. Savaghebi, M. Guerrero, J.M. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. Energy Technol., Aalborg Univ., Aalborg, Denmark (Kordkheili, R.A.; Bak-Jensen, B.; Pillai, J.R.; Savaghebi, M.; Guerrero, J.M.) |
| Abstract | This paper proposes an intelligent algorithm for dealing with high penetration of renewable energy sources (RESs) in the medium voltage (MV) by intelligently managing electric vehicles (EVs), as one of the grid flexible loads. The MV grid used in this work is a CIGRE benchmark grid. Different residential and industrial loads are considered in this grid. The connection of medium voltage wind turbines to the grid is investigated. The solar panels in this study are residential panels. Also, EVs are located among the buses with residential demand. The study is done for different winter and summer scenarios, considering typical load profiles in Denmark. Different scenarios have been studied with different penetration level of RESs in the grid. The results show the capability of the proposed algorithm to reduce voltage deviations among the grid buses, as well as to increase the RES penetration in the grid by intelligent management of EVs. |
| Starting Page | 127 |
| Ending Page | 132 |
| File Size | 431017 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479977369 |
| DOI | 10.1109/SEDST.2015.7315195 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-09-08 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Wind Renewable energy sources (RESs) Solar panels Solar power generation Modeling Standards Production Solar energy Electric vehicles Wind turbines Energy management Wind energy integration Load modeling Energy storage |
| Content Type | Text |
| Resource Type | Article |
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