Using Markov Indices to determine Stationary Point on the 33kv Feeders Emanating from TCN Benin City

A. Airoboman, E. A. Ogujor, R. Edokpia
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Abstract

Engineering systems are usually prone to failure especially if the nature and quality of maintenance adopted in the system is questionable. Although, there exists maintenance department saddled with the responsibility of identifying and clearing of failures within the network, however, the rate of failure as a result of poor maintenance which is visible in the form of weak distribution line, low voltage profile and poor protection in the network is on the increase. Maintenance is yet to be seen as a product by systems operator/manager hence, only limited resources is deployed to it. In this paper, therefore, the Feeders Stationary Point FSP was determined using the Markovian model. The obtained results show that GRA, Guinness, Koko, Switchstation and Ikpoba-dam feeders will approach their FSPs at 98.9%, 87%, and 87.1%, 93% and 93.8% respectively. At this point, the behavior of the feeders is said to be at its optimal level with respect to the maintenance resources deployed to it. The results from the paper will not only be useful in the Nigerian Power System Network (NPSN) but also in military engineering and all engineering systems where failure data are available.
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利用马尔可夫指数确定贝宁市TCN供电33kv馈线的驻点
工程系统通常容易发生故障,特别是当系统所采用的维护性质和质量有问题时。虽然有维护部门承担着识别和清除网络内部故障的责任,但由于维护不善导致的故障率正在上升,主要表现在配电网线路薄弱、低压剖面和保护不力。系统操作员/管理人员仍将维护视为一种产品,因此只部署了有限的资源。因此,本文采用马尔可夫模型确定馈线平稳点FSP。结果表明:GRA馈线、Guinness馈线、Koko馈线、Switchstation馈线和Ikpoba-dam馈线的fsp接近率分别为98.9%、87%、87.1%、93%和93.8%。在这一点上,馈线的行为被认为是相对于部署到它的维护资源的最佳水平。本文的结果不仅对尼日利亚电力系统网络(NPSN)有用,而且对军事工程和所有可获得故障数据的工程系统也有用。
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