A Planning Model for Electric Vehicle Aggregators Providing Ancillary Services
This paper introduces a planning model that can be used by an investor who would like to provide ancillary services (AS) to electricity markets. The proposed model helps the investor evaluate two potential options: aggregating distributed batteries in electric vehicles (EVs) or using a dedicated ene...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8531596/ |
| _version_ | 1818924414952013824 |
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| author | Abdelrahman Aldik Ali T. Al-Awami Eric Sortomme Ammar M. Muqbel Mohammad Shahidehpour |
| author_facet | Abdelrahman Aldik Ali T. Al-Awami Eric Sortomme Ammar M. Muqbel Mohammad Shahidehpour |
| author_sort | Abdelrahman Aldik |
| collection | DOAJ |
| description | This paper introduces a planning model that can be used by an investor who would like to provide ancillary services (AS) to electricity markets. The proposed model helps the investor evaluate two potential options: aggregating distributed batteries in electric vehicles (EVs) or using a dedicated energy storage system (ESS). For EV aggregations in AS markets, the targeted EV fleet size, which is a function of energy tariff charged by the EV aggregator, is a key planning consideration. In the case of ESS, the physical size is the main planning consideration. Using the proposed model, the two options for maximizing the investor's long-term payoffs are analyzed and compared by assuming the same initial investment cost for both options. Accordingly, the investor's daily bidding strategy in AS markets is optimized for each case. The net present worth is used as the basis for comparing the two investment options, and sensitivity analyses are carried out to study the impact of planning and operation variables on the feasibility of the two options. Simulation results consider both options and discuss the results for providing AS to electricity markets. |
| first_indexed | 2024-12-20T02:24:58Z |
| format | Article |
| id | doaj.art-aa04c5a715d943ecbbacf9bfbc47b669 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-20T02:24:58Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-aa04c5a715d943ecbbacf9bfbc47b6692022-12-21T19:56:44ZengIEEEIEEE Access2169-35362018-01-016706857069710.1109/ACCESS.2018.28804438531596A Planning Model for Electric Vehicle Aggregators Providing Ancillary ServicesAbdelrahman Aldik0https://orcid.org/0000-0003-2249-7700Ali T. Al-Awami1https://orcid.org/0000-0003-0062-2013Eric Sortomme2Ammar M. Muqbel3Mohammad Shahidehpour4Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi ArabiaDepartment of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi ArabiaDepartment of Electrical Engineering, University of Washington Bothell, Bothell, WA, USADepartment of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran, Saudi ArabiaIllinois Institute of Technology, Chicago, IL, USAThis paper introduces a planning model that can be used by an investor who would like to provide ancillary services (AS) to electricity markets. The proposed model helps the investor evaluate two potential options: aggregating distributed batteries in electric vehicles (EVs) or using a dedicated energy storage system (ESS). For EV aggregations in AS markets, the targeted EV fleet size, which is a function of energy tariff charged by the EV aggregator, is a key planning consideration. In the case of ESS, the physical size is the main planning consideration. Using the proposed model, the two options for maximizing the investor's long-term payoffs are analyzed and compared by assuming the same initial investment cost for both options. Accordingly, the investor's daily bidding strategy in AS markets is optimized for each case. The net present worth is used as the basis for comparing the two investment options, and sensitivity analyses are carried out to study the impact of planning and operation variables on the feasibility of the two options. Simulation results consider both options and discuss the results for providing AS to electricity markets.https://ieeexplore.ieee.org/document/8531596/Power system planningEV aggregatorsenergy storage systemsV2Gelectricity market |
| spellingShingle | Abdelrahman Aldik Ali T. Al-Awami Eric Sortomme Ammar M. Muqbel Mohammad Shahidehpour A Planning Model for Electric Vehicle Aggregators Providing Ancillary Services IEEE Access Power system planning EV aggregators energy storage systems V2G electricity market |
| title | A Planning Model for Electric Vehicle Aggregators Providing Ancillary Services |
| title_full | A Planning Model for Electric Vehicle Aggregators Providing Ancillary Services |
| title_fullStr | A Planning Model for Electric Vehicle Aggregators Providing Ancillary Services |
| title_full_unstemmed | A Planning Model for Electric Vehicle Aggregators Providing Ancillary Services |
| title_short | A Planning Model for Electric Vehicle Aggregators Providing Ancillary Services |
| title_sort | planning model for electric vehicle aggregators providing ancillary services |
| topic | Power system planning EV aggregators energy storage systems V2G electricity market |
| url | https://ieeexplore.ieee.org/document/8531596/ |
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