SM-PSHP vs DFIM-PSHP for stability improvement of wind integrated power systems

Brice N. Ekome, Martial Giraneza, Khaled M. Abo-Al-Ez

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

Abstract

The concept of stability has become more and more recurrent in the modern power system, especially with the integration of renewable energy. As the latter are subjected to the intermittency in the generation and the presence of power electronics pose a risk on the power system stability. The loss of power system stability has severe consequences, including causing unstable generators to trip, disconnecting tie lines and transmission/distribution lines, and shutting down the whole system, resulting in significant losses to consumers and operations. Therefore, maintaining the stability is a necessity in power system. Thus, in this paper is presented a performance comparison between the Double Fed Induction Machine (DFIM) and the Synchronous Machine (SM) based Pumped Storage Hydropower Plant (PSHP) for stability improvement in a wind energy integrated power system subjected to transient disturbances. The comparison is performed over IEEE 39 bus system carried out in DIgSILENT environment.

Original languageEnglish
Title of host publicationInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665470872
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 - Prague, Czech Republic
Duration: 20 Jul 202222 Jul 2022

Publication series

NameInternational Conference on Electrical, Computer, and Energy Technologies, ICECET 2022

Conference

Conference2022 IEEE International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022
Country/TerritoryCzech Republic
CityPrague
Period20/07/2222/07/22

Keywords

  • DFIM-PSHP
  • pumped storage hydropower plants
  • rotor angle
  • SM-PSHP
  • Stability
  • steady state

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation

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