Assessing the Impacts of Electric Vehicle Demand Management on Transmission Expansion Planning

The widespread adoption of electric vehicles (EVs) worldwide has garnered significant attention due to their potential to contribute to the reduction of greenhouse gases and CO_{2} emissions, thereby supporting efforts to mitigate climate change. However, this surge in EVs adoption also presents a f...

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Bibliographic Details
Main Authors: Segura, Nicolas, Villarnarin-Jacome, Alex, Espin-Sarzosa, Danny, Munoz, Felipe
Format: Conference Proceeding
Language:English
Subjects:
Costs
demand management
Electric vehicles
Investment
Mixed integer linear programming
Planning
Power systems
renewable energies
Renewable energy sources
transmission expansion planning
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Summary:The widespread adoption of electric vehicles (EVs) worldwide has garnered significant attention due to their potential to contribute to the reduction of greenhouse gases and CO_{2} emissions, thereby supporting efforts to mitigate climate change. However, this surge in EVs adoption also presents a formidable challenge for power system operators and planners. This challenge stems from the increased demand for system flexibility, which is vital to address the complexities associated with maintaining a secure and reliable power system operation. In this context, this paper presents the assessment of the impact of EVs demand management (DM) on the transmission expansion planning (TEP) and operation of power systems. The EVs demand comprises both public and private vehicles. The TEP model is formulated as a mixed-integer linear programming, and is applied to a reduced case study representing the Chilean power system. The results have shown that the implementation of EVs DM brings about significant reductions in operating costs, power spillage, unserved demand, and investment expenditures when compared to scenarios where DM is not considered. These results underscore the importance of incorporating EVs demand management strategies into power TEP and operation, highlighting its potential benefits for system efficiency and sustainability.
ISSN:2832-1537
DOI:10.1109/CHILECON60335.2023.10418635