Abstract

Sampling techniques are essential for the probabilistic stability analysis of future power systems as the increased renewable energy penetration introduced more system and operation uncertainties along with the fluctuating system demands. However, these system uncertainties are ignored in the deterministic stability analysis. This paper provides a comprehensive review and classification of the available sampling techniques for different aspects of probabilistic power system analysis. The most commonly applied sampling techniques in the literature are collated according to their characteristics, advantages, disadvantages, and application areas. This review aims to highlight the accurate and appropriate sampling techniques which can be used in their current forms or with some improvement for various power system stability studies.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.