A Comparative Analysis of Reliability Indices of Kaduna and Kano Distribution Systems

Ganiyu Adedayo Ajenikoko ,Moshood Kola Omotosho

doi:10.7176/jetp/9-8-05

Abstract

Reliability indices such as System Average Interruption Duration Index (SAIDI), System Average Interruption Frequency Index (SAIFI) and Customer Average Interruption Duration Index (CAIDI) are so significant in assessing the reliability levels of power systems.A comparative analysis of reliability indices of Kaduna and Kano distribution systems was carried out. Ten years of outage data information from ten selected distribution feeders of Kaduna and Kano distribution systems were used in this paper. The mean and standard deviation of the basic reliability indices were computed using appropriate mathematical relations as input parameters. The variances of these parametric indicators were also computed.FDR3 feeder of Kaduna distribution system recorded the highest mean SAIDI of 0.1064 compared to all other feeders in the selected distribution system. Customers on this feeder were interrupted for a prolonged time while fewer of the customers were adequately served. Junction Road feeder of Kaduna distribution system had the least mean SAIDI of 0.0704 because customers’ interruption was for a short period of time even though; more customers were being served by the feeder.Bangauda feeder of Kano distribution system recorded the highest mean SAIDI of 0.1462. More customers were interrupted compared to all other feeders in the distribution system while fewer of them were adequately served while Spare feeder had a least mean SAIDI of 0.0497 because fewer of the customers attached to this feeder were interrupted while many of them were adequately served.The result of this research paper will provide a comparative analysis of the reliability indices of the selected distribution feeders on Kaduna and Kano distribution systems which will go a long way providing background information for distribution system engineers for adequate planning and maintenance of distribution feeders. Keywords: SAIDI, SAIFI, CAIDI, Customers’ interruptions, Power systems, Reliability indices, Distribution systems. DOI : 10.7176/JETP/9-8-05 Publication date: November 30 th 2019

Highlights

1.0 Introduction For reliability evaluation purposes, the continuously operating reliability indices in distribution systems are generally classified into two categories: repairable and non-repairable
The effect of automatic protective or sectionalizing devices on cost reliability indices was analyzed and the results presented graphically for convenient application
The mean and standard deviation for System Average Interruption Duration Index (SAIDI), System Average Interruption Frequency Index (SAIFI) and Customer Average Interruption Duration Index (CAIDI) for Kaduna distribution system is shown in Figures 1 to 6.FDR 3 feeder of Kaduna distribution system had the highest mean SAIDI of 0.1064, with a standard deviation of 0.0516 and a SAIDI contribution of 0.0010 as shown in Figures 1 and 2..Customers connected to this distribution feeder were exposed to long time of interruption leading to complete period of darkness

Summary

Introduction

The continuously operating reliability indices in distribution systems are generally classified into two categories: repairable and non-repairable. Power system falls in the category of a repairable system, and some indices are used to access the reliability levels. Power systems have three main components: generation, transmission and distribution systems. The generation system produces electricity; transmission system delivers the generated electricity to distribution systems for supplying load demands. Both the generation and transmission systems are called the composite system or the bulk power system (Billinton, 2004, Singh and Billinton, 2005). Power quality is very important to certain customers For this reason, many utilities could sell electrical energy at different prices to their customers, depending on the quality of the delivered electric power. Since most end users are connected to secondary distribution networks, at low voltage, it could be important to monitor and compensate the main disturbances on the low voltage grid (Khan and Billinton, 2002)

Methods

Discussion

Conclusion