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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Bessa, Rj
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (11/11 displayed)
- 2023PV Inverter Fault Classification using Machine Learning and Clarke Transformationcitations
- 2020The future of power systems: Challenges, trends, and upcoming paradigmscitations
- 2014Optimization models for an EV aggregator selling secondary reserve in the electricity marketcitations
- 2014Framework for the Participation of EV Aggregators in the Electricity Marketcitations
- 2013Optimization Models for EV Aggregator Participation in a Manual Reserve Marketcitations
- 2013Global against divided optimization for the participation of an EV aggregator in the day-ahead electricity market. Part I: Theorycitations
- 2012Economic and technical management of an aggregation agent for electric vehicles: a literature surveycitations
- 2012Optimized Bidding of a EV Aggregation Agent in the Electricity Marketcitations
- 2012Forecasting Issues for Managing a Portfolio of Electric Vehicles under a Smart Grid Paradigmcitations
- 2011Models for the EV aggregation agent businesscitations
- 2010The role of an aggregator agent for EV in the electricity marketcitations
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document
Framework for the Participation of EV Aggregators in the Electricity Market
Abstract
The Electric Vehicle (EV) is one source of flexibility to the electric power system. When aggregated by a market agent, it can offer its flexibility in the balancing reserve market. In order to meet this goal, a framework of optimization and forecasting algorithms must designed to cover the different time horizons of the decision process. This paper describes a full framework for EV aggregators participating in different electricity market sessions. This framework is illustrated for the balancing reserve market and the impact of forecasts of different quality for the balancing reserve direction is evaluated. The test case consists in synthetic time series generated from real data for 3000 EV participating in the Iberian electricity market.
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