Rights statement: This is the author’s version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy, 196, 2020 DOI: 10.1016/j.energy.2020.117135
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Transient safety assessment and risk mitigation of a hydroelectric generation system
AU - Li, Huanhuan
AU - Xu, Beibei
AU - Arzaghi, Ehsan
AU - Abbassi, Rouzbeh
AU - Chen, Diyi
AU - Aggidis, George
AU - Zhang, Jingjing
AU - Patelli, Edoardo
N1 - This is the author’s version of a work that was accepted for publication in Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Energy, 196, 2020 DOI: 10.1016/j.energy.2020.117135
PY - 2020/4/1
Y1 - 2020/4/1
N2 - Transient safety assessment of hydroelectric generation systems is a major challenge for engineers specialized in hydropower stations around the world. This includes two key scientific issues: the dynamic risk quantification in a multi-factors coupling process, and the identification of elements with highest contribution to system stability. This paper presents a novel and efficient dynamic safety assessment methodology for hydroelectric generation systems (HGSs). Based on a comprehensive fuzzy-entropy evaluation method, the dynamic safety level of the system is estimated by means of probability values, and the influence rate of assessment indices on the HGS risk profile is also obtained. Moreover, a number of risk mitigation and maintenance amendment strategies are discussed to reduce the losses in operation and maintenance (O&M) costs at hydropower stations. The methodology is implemented and validated using an existing hydropower station experiencing a start-up transient process, results of which are shown to be beneficial to operators and risk managers. It is recommended that the presented methodology is applicable not only to the HGS’s start-up process but is also promisingly useful for largely fluctuating transient processes of other engineering facilities.
AB - Transient safety assessment of hydroelectric generation systems is a major challenge for engineers specialized in hydropower stations around the world. This includes two key scientific issues: the dynamic risk quantification in a multi-factors coupling process, and the identification of elements with highest contribution to system stability. This paper presents a novel and efficient dynamic safety assessment methodology for hydroelectric generation systems (HGSs). Based on a comprehensive fuzzy-entropy evaluation method, the dynamic safety level of the system is estimated by means of probability values, and the influence rate of assessment indices on the HGS risk profile is also obtained. Moreover, a number of risk mitigation and maintenance amendment strategies are discussed to reduce the losses in operation and maintenance (O&M) costs at hydropower stations. The methodology is implemented and validated using an existing hydropower station experiencing a start-up transient process, results of which are shown to be beneficial to operators and risk managers. It is recommended that the presented methodology is applicable not only to the HGS’s start-up process but is also promisingly useful for largely fluctuating transient processes of other engineering facilities.
KW - Hydropower System
KW - Dynamic Safety Assessment
KW - Multi-factors Coupling Process
KW - Transient analysis
KW - Risk Mitigation
U2 - 10.1016/j.energy.2020.117135
DO - 10.1016/j.energy.2020.117135
M3 - Journal article
VL - 196
JO - Energy
JF - Energy
SN - 0360-5442
M1 - 117135
ER -