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Title: Reliability importance of renewable energy sources to overall generating systems
Authors: Niu, Ming
Xu, Ning Zhou
Kong, Xin
Ngin, Hoon Tong
Ge, Yang Yang
Liu, Jing Song
Liu, Yi Tao
Keywords: Engineering::Environmental engineering
Issue Date: 2021
Source: Niu, M., Xu, N. Z., Kong, X., Ngin, H. T., Ge, Y. Y., Liu, J. S., & Liu, Y. T. (2021). Reliability importance of renewable energy sources to overall generating systems. IEEE Access, 9, 20450-20459. doi:10.1109/ACCESS.2021.3055354
Project: NRF2017EWT-EP003-038 
Journal: IEEE Access 
Abstract: Over the years, probabilistic nature of renewable energy sources (RES) and its influence on power system adequacy have been well studied. However, rather less attention has been paid to the impact of RES unit itself’s and its power conversion system’s (PCS’) reliability, as well as their various connection topologies. This paper devises a comprehensive sensitivity study on how each of these elements can affect overall generating system reliability. given the plethora of RES configurations and components, it is of import to identify the most vulnerable element in RES. In this work, component importance is extended, for the first time, to generating capacity adequacy assessment (HLI). Measurement index is the centerpiece in reliability importance. New indices have to be introduced to facilitate the study. While the physical meaning of previously developed indices is lost, in this study indices are proposed based on traditional importance measures, of which the physical meaning are strictly retained and consistent with the definitions. With the proposed assessment technique, components in various RES configuration can be ranked according to their reliability importance. It is found in the numerical study that different importance measures (such as risk-achievement based measures and risk-reduction based measures) can result in different rankings. Studies on contributing factors of the reliability importance are also performed. As more and more RES gaining foothold in generating systems, the proposed technique assist to achieve targeted reliability level of the system, by easily identifying and prioritizing reliability improvement tasks among various units/components in the increasing complex system.
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3055354
Rights: © 2021 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ERI@N Journal Articles

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