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Dynamic and multi-stage capacity expansion planning in microgrid integrated with electric vehicle charging station

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submitted on 2023-10-04, 06:10 and posted on 2023-10-04, 07:06 authored by Hasan Mehrjerdi

This paper investigates the long-term dynamic capacity expansion planning in the microgrids. The microgrid is supplied by various capacity resources including wind, solar, micro gas turbine, and energy storage system. The microgrid also supplies an electric vehicle charging station. The electric vehicles in the charging station work as vehicle-to-grid and they are able to send energy to the microgrid or regulate their charging time and rate. As a result, the charging station may appear as a flexible load or generating unit. The capacity expansion planning in the microgrid is performed to expand the capacity of micro turbine, solar panels, wind turbine, and battery energy storage system. This capacity expansion is performed for six-years planning horizon through long term plan. The short-term plan is simultaneously conducted to optimize the hourly operation of micro turbine, energy storage system, and electric vehicle charging station. Short-term operation of dispatchable resources reduces the planning cost to 28% and properly contributions to the long-term plan for minimizing the costs. The largest expansion is performed on wind system by 200% expansion that covers about 53% of the expansion cost. The model also needs further resources when facing the uncertainties and such reinforcement increases the cost by about 58%.

Other Information

Published in: Journal of Energy Storage
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1016/j.est.2020.101351

Funding

Open Access funding provided by the Qatar National Library

History

Language

  • English

Publisher

Elsevier BV

Publication Year

  • 2020

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License

Institution affiliated with

  • Qatar University
  • College of Engineering - QU

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