Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources
Increased penetration of plug-in electric vehicles (PEVs) will necessitate deployment of numerous PEV chargers. Pairing these chargers with renewable distributed generation (DG) and storage can potentially alleviate negative impacts on the distribution grid and help meet renewable portfolio goals. T...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2014
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| Online Access: | http://hdl.handle.net/1721.1/90542 https://orcid.org/0000-0002-0746-6191 https://orcid.org/0000-0002-0704-6349 |
| _version_ | 1826195421648650240 |
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| author | Gunter, Samantha Joellyn Perreault, David J. Suresh, Sindhu Afridi, Khurram |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Gunter, Samantha Joellyn Perreault, David J. Suresh, Sindhu Afridi, Khurram |
| author_sort | Gunter, Samantha Joellyn |
| collection | MIT |
| description | Increased penetration of plug-in electric vehicles (PEVs) will necessitate deployment of numerous PEV chargers. Pairing these chargers with renewable distributed generation (DG) and storage can potentially alleviate negative impacts on the distribution grid and help meet renewable portfolio goals. The optimal design of such integrated charging systems depends on many factors, including geographic location and charging profiles. This paper presents an optimization methodology for designing integrated PEV charging systems with multiple chargers and distributed resources. This methodology is used to investigate optimal designs for charging systems at a retail business and on a university campus. When PEV charging can introduce a demand charge, it is shown that the optimal design depends on the time of charging and the level of existing load. When non-negligible distribution system losses exist between charger locations, it is shown that the optimal size and location of DG and storage depends on the charging profile of the different chargers and the distribution efficiency. |
| first_indexed | 2024-09-23T10:12:23Z |
| format | Article |
| id | mit-1721.1/90542 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:12:23Z |
| publishDate | 2014 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/905422022-09-26T16:26:01Z Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources Gunter, Samantha Joellyn Perreault, David J. Suresh, Sindhu Afridi, Khurram Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. School of Engineering Gunter, Samantha Joellyn Perreault, David J. Afridi, Khurram Increased penetration of plug-in electric vehicles (PEVs) will necessitate deployment of numerous PEV chargers. Pairing these chargers with renewable distributed generation (DG) and storage can potentially alleviate negative impacts on the distribution grid and help meet renewable portfolio goals. The optimal design of such integrated charging systems depends on many factors, including geographic location and charging profiles. This paper presents an optimization methodology for designing integrated PEV charging systems with multiple chargers and distributed resources. This methodology is used to investigate optimal designs for charging systems at a retail business and on a university campus. When PEV charging can introduce a demand charge, it is shown that the optimal design depends on the time of charging and the level of existing load. When non-negligible distribution system losses exist between charger locations, it is shown that the optimal size and location of DG and storage depends on the charging profile of the different chargers and the distribution efficiency. Siemens Corporation 2014-10-02T17:02:29Z 2014-10-02T17:02:29Z 2013-02 Article http://purl.org/eprint/type/ConferencePaper 978-1-4673-4896-6 978-1-4673-4894-2 978-1-4673-4895-9 http://hdl.handle.net/1721.1/90542 Gunter, S. J., D. J. Perreault, S. Suresh, and K. K. Afridi. “Methodology for the Optimal Design of PEV Charging Systems with Multiple Chargers and Distributed Resources.” 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT) (February 2013). https://orcid.org/0000-0002-0746-6191 https://orcid.org/0000-0002-0704-6349 en_US http://dx.doi.org/10.1109/ISGT.2013.6497852 Proceedings of the 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | Gunter, Samantha Joellyn Perreault, David J. Suresh, Sindhu Afridi, Khurram Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources |
| title | Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources |
| title_full | Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources |
| title_fullStr | Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources |
| title_full_unstemmed | Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources |
| title_short | Methodology for the optimal design of PEV charging systems with multiple chargers and distributed resources |
| title_sort | methodology for the optimal design of pev charging systems with multiple chargers and distributed resources |
| url | http://hdl.handle.net/1721.1/90542 https://orcid.org/0000-0002-0746-6191 https://orcid.org/0000-0002-0704-6349 |
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