Safety assessment of hydro-generating units using experiments and grey-entropy correlation analysis
Li, Huanhuan and Chen, Diyi and Arzaghi, Ehsan and Abbassi, Rouzbeh and Xu, Beibei and Patelli, Edoardo and Tolo, Silvia (2018) Safety assessment of hydro-generating units using experiments and grey-entropy correlation analysis. Energy, 165 (Part A). 222 - 234. ISSN 1873-6785 (https://doi.org/10.1016/j.energy.2018.09.079)
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Abstract
This paper focuses on the safety analysis of a nonlinear hydro-generating unit (HGU) running under different loads. For this purpose, a dynamic balance experiment implemented on an existing hydropower station in China is considered, to qualitatively investigate the stability of the system and to obtain the necessary indices for safety assessment. The experimental data are collected from four on-load units operating at different working heads including 431 m, 434 m, 437 m, and 440 m. A quantitative analysis on the safety performance of the four units was carried out by employing an integration of entropy weights method with grey correlation analysis. This assisted in obtaining the safety degree of each unit, providing the risk prompt to the operation of nonlinear hydro-generating units. The results confirm that unit 4 has the highest level of safety while unit 3 operates with the lowest safety condition. This provides the optimal operational schedule of HGUs to cope with the fluctuations of electricity demand in the studied station. The proposed methodology in this paper is not only applicable to the HGUs in the studied station but could also be adopted to assess the safety degree of any hydropower facility.
ORCID iDs
Li, Huanhuan, Chen, Diyi, Arzaghi, Ehsan, Abbassi, Rouzbeh, Xu, Beibei, Patelli, Edoardo ORCID: https://orcid.org/0000-0002-5007-7247 and Tolo, Silvia;-
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Item type: Article ID code: 70382 Dates: DateEvent15 December 2018Published12 September 2018Published Online11 September 2018AcceptedSubjects: Science > Mathematics Department: Faculty of Engineering > Civil and Environmental Engineering Depositing user: Pure Administrator Date deposited: 31 Oct 2019 15:06 Last modified: 11 Nov 2024 12:29 URI: https://strathprints.strath.ac.uk/id/eprint/70382