OPTIMAL PLACEMENT OF AUTOMATED SWITCH IN DISTRIBUTION NETWORK WITH CUSTOMER INTERRUPTION COST (CASE STUDY: HAWASSA DISTRIBUTION)
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Date
2022-10-12
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Hawassa University
Abstract
Power system is to provide an adequate and secure electrical supply to its customers as
economically as possible with reasonable level of reliability. In distribution system,
reliability and cost of Energy not supply (power loss) are the major issues for the consumers
and utility. Hawassa distribution feeder has repeated power interruption difficulties. The
main causes of interruptions are earth fault (EF) and short circuit (SC). The intended outage
such as operation and maintenance purpose of the distribution system is another causes of
distribution planned outage. The feeder’s System Average Interruption Frequency Index
(SAIFI), System Average Interruption Duration Index (SAIDI), Energy not supply (ENS)
and power loss are 123.9 interruptions per customer per year, 136.8 hours per customer per
year, 1843.2 MWhr/yr. and 409.2 Kw, respectively. The feeder is not reliable by the standard
of Ethiopian Electric Agency (EEA) which has set SAIFI as equal to 20 interruptions per
customer per year and SAIDI which is around 25 hours per customer per year. Optimal
placement of automated switches (auto recloser) can significantly improve reliability of the
system, reduce Energy not supply (power losses) and decrease Expected Interruption Cost
(ECOST) of the system. Therefore, the main aim of the study is to improve the reliability of
the distribution system by optimal placement of automated switch (auto recloser). The
economic impact of power interruption in both the utility and customers is significant, thus
makes placement of auto recloser on selected feeder, improve distribution system reliability
and reduce cost of energy not supply (power loss). Optimal placement of auto recloser is
determined by the Grasshopper optimization Algorithm (GOA) technique using MATLAB
code and the reliability indices evaluated by using etap 16.0.0 and compared with PSO
(particle swarm optimization).The reliability of distribution system has improved by
employing optimal placement of auto recloser. Therefore, the overall reliability of Hawassa
city distribution feeder 12 indices SAIFI by 88.9 %,SAIDI by 76.3% , EENS by 76.5 % ,
power loss by 70.5 % and ECOST by 55%; had improved as compared with the base case
system.
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Keywords
Reliability improvement, optimal placement, cost of energy not supplied reduction and GOA
