Assessment of Failure and Repair Behaviours of the Jebba Hydroelectric Power Station

C. T. Thomas, O. Ogunbiyi, M. Akorede, J. Olufeagba
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引用次数: 2

Abstract

Nigeria power generation is circa 4000 MW as at October 2016, this is far less than the national required value.Jebba Hydroelectric Power Station (JHEPS) is one of the three major hydropower stations in the country which its maximumaverage generation value is still less than the rated value of 578.4 MW. This paper presented some basic concepts of analysisof failure and repair. An algorithm was set up to extract the contiguous set of up-times and down-times to determine time-tofail (TTR) and time-to-repair (TTR) events, these events were analyzed for stochastic study. It was observed that the longestup time was 262 days and seen in turbo-alternator unit five, while the shortest was zero day and seen in the entire units exceptthat of unit two. The longest downtime was 133 days and seen in the turbo-alternator of unit one, the least time-to-repair is aday and common to all the units. The frequency distributions for both TTF and TTR showed that 79% of TTF events and 57%of TTR events are distributed in the first 2 classes
杰巴水电站失效与修复行为评估
截至2016年10月,尼日利亚的发电量约为4000兆瓦,远低于国家要求的值。杰巴水电站是我国三大水电站之一,其最大平均发电量仍低于额定值578.4 MW。本文介绍了故障分析与维修的一些基本概念。建立了一种提取连续的启动时间和停机时间的算法,以确定故障时间(TTR)和修复时间(TTR)事件,并对这些事件进行了随机分析。研究发现,启动时间最长的是5号机组,为262天;最短的是0天,除2号机组外,其余机组均有启动时间。停机时间最长的是1号机组的涡轮交流发电机,为133天;维修时间最短的是1天,所有机组都有。TTF和TTR的频率分布表明,TTF事件的79%和TTR事件的57%分布在前2类
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