Impact of wind speed modelling on the predictive reliability assessment of windbased microgrids

Mohammad Al-Muhaini, Asad Bizrah, Gerald Heydt, Muhammad Khalid

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Power utilities have shown great interest in utilising renewable energy resources for various environmental and economic reasons. However, the modelling and integration of conventional and renewable resources into electric microgrids will increase the complexity of microgrid reliability analyses. Therefore, an accurate reliability assessment of power distribution systems is expected to become a major challenge in the future. More extensive research must be conducted to improve system reliability assessment techniques and determine the impact of increased penetration of renewable resources. In this work, the reliability of wind-based electric microgrids was evaluated using a Markov model, taking the intermittent nature of wind speed into account. The effects of different wind speed modelling techniques based on the auto-regressive moving average method, Markov model, and probability distribution function on the reliability analysis of electric microgrids were assessed. The Roy Billinton test system was used to illustrate the analysis and evaluate the different load and system indices.

Original languageEnglish (US)
Pages (from-to)2947-2956
Number of pages10
JournalIET Renewable Power Generation
Volume13
Issue number15
DOIs
StatePublished - Nov 18 2019

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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