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A novel management scheme to reduce emission produced by power plants and plug-in hybrid electric vehicles in a smart microgrid

Ashrafi, R ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.1007/s13762-019-02611-0
  3. Publisher: Springer , 2020
  4. Abstract:
  5. Recently, with the growth and development of distributed generation (DGs) and energy storage systems (ESSs), as well as smart control equipment, microgrids (MGs) have been developed. Microgrids are comprised of a limited number of constitutive parts, including loads, DGs, ESSs, and electric vehicles (EVs). This paper presents a novel scheme to manage active and reactive powers, based on DGs, ESSs, and EVs to reduce the total operation cost including power generation and emission costs. Simultaneous management of active and reactive power makes it possible to consider grid operation constraints together. In the proposed schedule, the vehicles are assumed to be plug-in hybrid electric vehicles. They are able to run both on gasoline and electricity. The proposed schedule incorporates the cost of the consumed fuel and generated pollution into the function of the MG. It is programmed using GAMS software as a mixed-integer second-order cone programming problem and is implemented on a test MG. Simultaneous management of active and reactive power sources can result in lower cost compared to separated scheduling. © 2020, Islamic Azad University (IAU)
  6. Keywords:
  7. Energy storage systems (ESSs) ; Microgrids (MGs) ; Plug-in hybrid electric vehicles (PHEV) ; Control equipment ; Electric energy storage ; Electric power plants ; Energy management ; Integer programming ; Reactive power ; Scheduling ; Software testing ; Vehicle-to-grid ; Active and Reactive Power ; Distributed generations (DGs) ; Electric Vehicles (EVs) ; Growth and development ; Micro grid ; Plug in hybrid electric vehicles ; Second-order cone programming ; Plug-in hybrid vehicles ; Electric vehicle ; Emission ; Energy storage ; Power generation ; Power plant ; Smart grid ; Software
  8. Source: International Journal of Environmental Science and Technology ; Volume 17, Issue 5 , 2020 , Pages 2529-2544
  9. URL: https://link.springer.com/article/10.1007/s13762-019-02611-0/figures/1