Modelling and Control of Wind Turbine and Battery Energy Storage System for Grid Integration

  • Omid Khoubseresht
  • , Mohamadamin Rajabinezhad
  • , Bahman Ahmadi
  • , Elham Shirazi

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)
296 Downloads (Pure)

Abstract

The benefits of renewable energy sources (RES) are undeniable, despite the fact that controlling their output power is complicated due to their intermittent nature. In this paper, a new set of analytical formulations has been proposed for simultaneous integration and control of wind turbine (WT) and battery energy storage system (BESS) considering the time-varying load models, and resources uncertainty. The objective functions of this method include smoothing the output power of the WT unit, balancing demand and generation, increasing WT shares as well as decreasing the automatic generation control (AGC) reserve capacity which is essential in the gird. In addition, the modification of BESS reference current is considered to prolong the BESS effective lifetime and guarantee the prevention of BESS from over-charge and discharge. The results show that simultaneous integration of WT and BESS in the grid will smooth WT output power, balance load and WT generation, thereby reducing AGC required capacity and increasing the hosting capacity of grids effectively.
Original languageEnglish
Title of host publication2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)978-1-6654-8032-1
ISBN (Print)978-1-6654-8033-8
DOIs
Publication statusPublished - 28 Nov 2022
Event2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) - University of Novi Sad, Novi Sad, Serbia
Duration: 10 Oct 202212 Oct 2022

Conference

Conference2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Country/TerritorySerbia
CityNovi Sad
Period10/10/2212/10/22

Keywords

  • Renewable energy sources
  • Uncertainty
  • Fluctuations
  • Automatic generation control
  • Wind turbines
  • Batteries
  • Smart grids
  • 22/4 OA procedure

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