Statistical Analysis of Electrical Component Aging in Group 6 of the Inga 2 Hydroelectric Plant Following Abrupt Shutdowns

The Inga 2 hydroelectric power plant in the Democratic Republic of the Congo plays a crucial role in national electricity production and distribution. On January 5, 2016, Unit 3 abruptly shut down, triggering a cascade of shutdowns in other units and disrupting the network frequency. This study aims...

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Main Authors: André Mampuya Nzita, Léon Mwanda Mizengi, Guy Wanlogo Ndiwulu, Guyh Dituba Ngoma, Clément N’zau Umba-di-Mbudi, Robert Muanda Ngimbi, Edmond Phuku Phuati
Format: Article
Language:English
Published: Physics Department, Faculty of Mathematics and Natural Sciences University of Jember 2024-11-01
Series:Computational and Experimental Research in Materials and Renewable Energy
Online Access:https://jurnal.unej.ac.id/index.php/CERiMRE/article/view/51268
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Summary:The Inga 2 hydroelectric power plant in the Democratic Republic of the Congo plays a crucial role in national electricity production and distribution. On January 5, 2016, Unit 3 abruptly shut down, triggering a cascade of shutdowns in other units and disrupting the network frequency. This study aims to analyze the evolution of the stator and rotor winding resistances, as well as the insulation resistance of turbine-generator Unit 6, from its commissioning in 1982 until 2016. The goal is to assess the impact of sudden shutdowns on the aging of its electrical components. Measurements of stator and rotor winding resistances, as well as rotor insulation resistance, were analyzed using R software for statistical analysis. The results of this study will provide recommendations for improving predictive maintenance of Unit 6 and other units in the Inga 2 power plant. Ultimately, the study seeks to enhance understanding of the effects of abrupt stoppages on the aging process of electrical components, thereby ensuring the long-term reliability of the Inga 2 hydroelectric power plant. Keywords: Inga 2 hydroelectric power plant, turbine-generator group 6, stator and rotor winding resistances, predictive maintenance.
ISSN:2747-173X