TY - JOUR
T1 - Impact of wind speed modelling on the predictive reliability assessment of windbased microgrids
AU - Al-Muhaini, Mohammad
AU - Bizrah, Asad
AU - Heydt, Gerald
AU - Khalid, Muhammad
N1 - Funding Information:
The authors acknowledge the support of King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, through grants RG1402-1 and RG1402-2.
Publisher Copyright:
© The Institution of Engineering and Technology 2019.
PY - 2019/11/18
Y1 - 2019/11/18
N2 - 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.
AB - 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.
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U2 - 10.1049/iet-rpg.2019.0596
DO - 10.1049/iet-rpg.2019.0596
M3 - Article
AN - SCOPUS:85075801697
SN - 1752-1416
VL - 13
SP - 2947
EP - 2956
JO - IET Renewable Power Generation
JF - IET Renewable Power Generation
IS - 15
ER -