Transient safety assessment and risk mitigation of a hydroelectric generation system. (1st April 2020)
- Record Type:
- Journal Article
- Title:
- Transient safety assessment and risk mitigation of a hydroelectric generation system. (1st April 2020)
- Main Title:
- Transient safety assessment and risk mitigation of a hydroelectric generation system
- Authors:
- Li, Huanhuan
Xu, Beibei
Arzaghi, Ehsan
Abbassi, Rouzbeh
Chen, Diyi
Aggidis, George A.
Zhang, Jingjing
Patelli, Edoardo - Abstract:
- Abstract: 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. Highlights: Enhanced safety assessment promotes transient dynamics applications in engineering. Quantified contribution of index on HGS risk profile shows the system sensitivity. Dynamic safety analysis isAbstract: 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. Highlights: Enhanced safety assessment promotes transient dynamics applications in engineering. Quantified contribution of index on HGS risk profile shows the system sensitivity. Dynamic safety analysis is conducted to diminish risks in hydropower station. Risk mitigation and maintenance amendment strategies reduce the financial loss. … (more)
- Is Part Of:
- Energy. Volume 196(2020)
- Journal:
- Energy
- Issue:
- Volume 196(2020)
- Issue Display:
- Volume 196, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 196
- Issue:
- 2020
- Issue Sort Value:
- 2020-0196-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04-01
- Subjects:
- Hydropower system -- Dynamic safety assessment -- Multi-factors coupling process -- Transient analysis -- Risk mitigation
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2020.117135 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15502.xml