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Battery electric buses participation in electricity markets and power systems

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10.1109/EEM.2019.8916362
 
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hdl:2117/331254

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Chapman, Nick
Barbero, MattiaMés informació
Corchero García, CristinaMés informacióMés informacióMés informació
Document typeConference report
Defense date2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Many European cities have committed to procure only zero-emission buses by 2025, considering battery electric buses as the first choice to achieve this objective. However, whilst this technology promises to solve several environmental problems, charging these vehicles may present challenges for the power system operation and planning. The objective of the paper is to find a bridge between two pillars of smart grids and smart cities: Demand Response and electric mobility. To achieve this aim, charging behavior for a fleet of 100 electric buses is simulated in order to estimate the potential for peak shaving, electricity purchase cost saving and income generation through selling flexibility services. Overnight and opportunity bus charging systems are compared, along with different depot charging strategies. The outcomes from this analysis aims to support public transport operator decision making when it comes to the design and operation of zero-emission bus systems.
CitationChapman, N.; Barbero, M.; Corchero, C. Battery electric buses participation in electricity markets and power systems. A: International Conference on the European Energy Market. "16th International Conference on the European Energy Market (EEM): Ljubljana, Slovenia: september 18-20, 2019: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 1-6. ISBN 978-1-7281-1257-2. DOI 10.1109/EEM.2019.8916362. 
URIhttp://hdl.handle.net/2117/331254
DOI10.1109/EEM.2019.8916362
ISBN978-1-7281-1257-2
Publisher versionhttps://ieeexplore.ieee.org/document/8916362
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  • GNOM - Grup d'Optimització Numèrica i Modelització - Ponències/Comunicacions de congressos [47]
  • Doctorat en Estadística i Investigació Operativa - Ponències/Comunicacions de congressos [18]
  • Departament d'Estadística i Investigació Operativa - Ponències/Comunicacions de congressos [243]
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