Reliability Improvement of Distribution System Network using Network Reconfiguration
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Abstract
TThis work focuses on carrying out reliability and network reconfiguration of the NAF base Kaduna 33kV distribution network system. Outage data was collected from the utility company Kaduna Electricity Company, Kaduna Nigeria (KAEDCO) from 2017 to 2020. This data was evaluated using some reliability parameters like SAIDI, SAIFI, CAIDI, AENS, ENS, Reliability, Availability, and Unavailability. The values obtained was analyzed in order to ascertain reliability of network in the case study. Using Fault Tree Analysis (FTA), the events; Transient fault, Ring Main Unit RMU fault, Damage on the J&P fuses, Breaking of cross arm , Thunder lightening , Crossing of two or all three phases, Weather condition, Isolation due to fault, Human activities, Animal encroachment, Wire twist, Wire cut, Jumper cut, Pull out of conductor, broken pole, maintenance due to fault and some fault conditions leading to failure which cause reliability problems on the network was analyzed. From the results of the fault, as achieved as the top failure rate that occurred on the network. In order to minimize the loss on the network, the network was optimized using the Particle Swam Optimization (PSO) algorithm and eventually reconfigured using the information from the PSO algorithm. The network reconfigured, simulated and its performance enhanced for effective power delivery ultimately. All results were presented and discussed. From the network reconfiguration process, with tie switches located at (17-20) and (11-31) of the chosen network, the active power loss experienced by the network was reduced from 63.4004 kW and 20.3689 kW, indicating a percentage reduction of active loss: 63.0791 %, percentage improvement in reliability of 1.7955 % with a reliability of 1.4628 int/cost-yr was also achieved and this was validated using the IEEE standard test 33 bus system
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