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DOI

Microgrids have been used to manage the electricity grid with a large number of integrated distributed generators. Without a proper control and management mechanism, the Microgrid efficiency and reliability may plummet which will influence the operation of critical loads connected to the grid. A Fuzzy-Droop controller is proposed to maintain the active and reactive power balance in the Microgrid and, hence, maintain frequency at the nominal value. A particle swarm optimization algorithm is implemented over the proposed design to locate the best gain values of the utilized controllers according to a certain cost function. The proposed control scheme is applied to the diesel generator and battery system units which will guarantee a rapid and sufficient response to disturbances in the network. Furthermore, a weak connection between the Microgrid and the main electricity grid is assumed, which will add more challenges to the proposed control technique. The effectiveness of the design is evaluated and compared to other control schemes. © 2022 IEEE.
Язык оригиналаАнглийский
Название основной публикации29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives, IWED 2022, Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы1-7
Число страниц7
Том1 Vol
ISBN (электронное издание)978-1-6654-6786-5
ISBN (печатное издание)978-1-6654-6787-2
DOI
СостояниеОпубликовано - 2022
Событие2022 29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives (IWED) - Moscow, Russian Federation
Продолжительность: 26 янв. 202229 янв. 2022

Серия публикаций

НазваниеInternational Workshop on Electric Drives: Advances in Power Electronics for Electric Drives, IWED, Proceedings

Конференция

Конференция2022 29th International Workshop on Electric Drives: Advances in Power Electronics for Electric Drives (IWED)
Период26/01/202229/01/2022

    Предметные области ASJC Scopus

  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

ID: 33987256