This paper investigates the frequent power cut on the 11kV feeders of Ugbowo 2x15MVA, 33/11kV electric power distribution network. Annual data of daily power outages from August 2019 to July 2020 of the 11kV feeders were collated and collected from the Ugbowo distribution network. The daily outages of the 11kV feeders were used to compute the monthly and the yearly reliability indices of the feeders of the Ugbowo distribution network. Both the monthly and annual failure rates, MTTR, MTTF, MTBF, availability and unavailability were computed and analyzed using the Load Point Indices (LPI) and the Microsoft Excel was used for graphical interpretation in order to estimate the reliability indices and to determine the frequency of power outages of the network. Also, the Performance Indices (PI) of the system were evaluated for an in-depth assessment. The annual and monthly failure rates, mean time to repair, mean time to failure, mean time between failure, system average interruption frequency indices (SAIFI), system average interruption duration indices (SAIDI), average service availability index (ASAI), etc for a period of twelve (12) months were analyzed. The computed results obtained from the analyses of the 11kV feeders of the distribution network showed that the power unavailability is very high for the period under study with Ugbowo 11kV feeder having the highest power unavailability of 76.52%, Eguaedaiken 11kV feeder 73.42%, FGGC 11kV feeder 69.50% and Uselu 11kV feeder 66.96% in the network. The annual failure rate results revealed that Ugbowo 11kV feeder has the highest failure rate of 46.52%, followed by Eguaedaiken feeder 44.83%, FGGC feeder 44.27% and Uselu feeder 41.60%. This is due to frequent power outages resulting from regimented load shedding (scheduled outages) being practice in the network as way to manage equipment limitations, poor energy management system, etc. and unscheduled (forced) outages due to faults in the network. Furthermore, the PI of the system revealed that the annual total outage duration (SAIDI), outage frequency (SAIFI) and percentage availability (ASAI) were 175.7504hours, 3.3780f/cu.yr and 97.99% which is a far cry from the international acceptable standard value (IASV) of 2.5 hours, 0.01 and 99.99% respectively which showed that the power supply services in the network is unreliable.
The issue of erratic and epileptic power supply in Nigeria Electricity Company is as old as the country itself. This is not unconnected to some factors such as: inadequate power generated in the national grid, electric power losses in the distribution network, government instability and unstable power reform policies, to mention but a few. The effects of erratic and epileptic power supply have been a major challenge to every sector in Nigeria especially the telecommunication industry. The telecommunication industry plays a significant role in the growth and development of every nation. Hence, this paper aims at critically investigating the causes and effects of erratic and epileptic electric power supply in Nigerian telecommunication industry. More so, the paper suggested and recommended ways to curb and enhance the current erratic and epileptic power situation in the country in order to boost the productivity of telecommunication industry and other sectors as well.
This paper presents an excerpt of a more comprehensive survey of smart grid systems on electric power distribution networks and its impact on reliability. The survey was carried out as part of the feasibility study in Nigeria to determine its enhance-ability on the smartness of a conventional (traditional) distribution network. A smart grid is not a single technology but multiplex technologies in which the combination of different areas of engineering, communication and energy management systems are done. Consequently, a comprehensive review of various approaches and their impact on reliability of the network is presented. Furthermore, this paper introduces the smart grid technology and its features, reliability impacts and emerging issues and challenges that arise from the smart grid system applications. The benefit of this comprehensive survey is to provide a reference point for educational advancement on the recently published articles in the areas of smart grid systems on electric power distribution network as well as to stimulate further research interest.
This paper presents the simulation of demand side management (DSM) strategy for alleviating power shortages in Nigerian power system. The frequent power outages in the Nigerian power system especially in the distribution network which is caused by schedule and unscheduled outages in the system in which the schedule outages are predominant, is as a result of inadequate electricity generation and equipment limitations to meet the current ever-growing energy demand. The distribution network feeders’ peak load and electricity supply was evaluated and data were collected from November 2017 to October 2018; to carry out the analysis of the network feeders’ load and its management. Consequently, modeling of the proposed DSM strategy in Simulink environment and its optimization was done using the binary particle swarm optimization (BPSO) algorithm and, the simulations were carried out to test the efficacy of the model. The results of the simulations of the DSM strategy showed that the proposed method has the capacity to bring the load curve closer to an objective or desired load curve thereby reducing the blackout areas of the network per outage scheduling from 63.38% or 36.62% in the existing network to 14.08% in the proposed network and also, improved the 11 kV feeders’ availability from twelve hours currently per day to twenty-four hours in the proposed network.
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