Adaptation of Battery Energy Storage System on Under-Frequency Load Shedding Scheme Design

  • Rajeev Jha
  • , Baseem Khan
  • , Om Prakash Mahela
  • , Elisabeth Caro Montero
  • , Yeshitila Hailu Tes-Sema
  • , Dejene Hurissa Boku

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The reliable operation of power systems is crucial for ensuring uninterrupted power supply to consumers. However, any deficiency in power generation can lead to frequency deviation, disrupting the entire power system. To address this challenge, an active power source with a fast response, such as a Battery Energy Storage System (BESS), can prove to be a highly effective countermeasure. The BESS has gained immense popularity for its diverse applications, including load leveling, frequency and voltage support during loss of generation, improving transient and dynamic stability, and enhancing power quality. This has made the BESS an invaluable contribution to power system restructuring. One of the most important applications of the BESS is in Load Frequency Control, where a proportional-integral (PI) controller is employed to modify the power output of the BESS, resulting in further optimization of the system. In this work, a two-area hydro-thermal interconnected system is considered, and simulations are performed in MATLAB to analyze the impact of the BESS with and without a PI Controller. The results demonstrate a significant reduction in the load shedding amount, and the under-frequency load shedding (UFLS) scheme is made even more effective, ensuring the reliable and uninterrupted operation of the power system.

Original languageEnglish
Pages (from-to)44-55
Number of pages12
JournalJournal of Autonomous Intelligence
Volume5
Issue number2
DOIs
Publication statusPublished - 2022
Externally publishedYes

Keywords

  • Battery Energy Storage System (BESS)
  • Critical Frequency
  • Critical Load
  • Proportional Integral (PI) Controller
  • Under-Frequency Load Shedding (UFLS)

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Human-Computer Interaction
  • Computer Science Applications
  • Artificial Intelligence

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