Zoning of rural medium voltage distribution networks for improving restoration time using distribution automation systems
Electricity distribution reliability is a measure of power availability,which is a function of the frequency of interruptions,and the duration of such interruptions.Studies have shown that Medium Voltage(MV)overhead lines are the most significant contributory factors to power outages which lead to poor performance of electrical distribution networks.The research investigated the basis for the poor performance of MV overhead lines in a 22 Kilovolt(KV)radial feeder,in order to develop the most reliable and cost effective optimisation approach for switching device placement which has the potential of improving the performance of MV overhead line distribution networks.A major requirement in power distribution is to supply customers with reliable electricity without interruptions.The research explored and identified causes of electricity supply interruptions,high values of Mega Voltage Ampere(MVA)losses,and the effect of downtimes in terms of number of customers impacted by outages.The findings informed the design of a robust switching device placement algorithm,capable of optimising the performance of a 22KV overhead line,by reducing the number of customers impacted by interruptions,and minimizing MVA losses accordingly.Optimal switching device placement strategy improved restoration time of electricity by isolating only faulty section of network,and minimizing high costs currently associated with scheduled maintenance on the MV lines.On the occurrence of momentary supply interruption,the reclosers automatically restore electric power by their auto-reclose feature.System Average Interruption Duration Index(SAIDI),System Average Interruption Frequency Index(SAIFI),Customer Base Impact Index(CBII),and Mega Voltage Ampere Base Impact Index(MVABII)were used to measure the performance outcomes of the line using customer and MVA data obtained from the feeder.Secondary data comprising information on monthly SAIDI,SAIFI,customers connected per transformer,and MVA data were obtained from the engineering plant department.A switching device placement technique was developed and validated using comparative analysis of the old and new data impact obtained after a pilot implementation phase.The developed technique improved the network performance by reducing the number of customers affected,and MVA losses impacted due to electricity supply interruptions by 30.74 and 25.30%respectively.
Medium voltage recloser power distribution optimisation SAIDI SAIFI
Dominic RAMERE Timothy LASEINDE
Tshwane University of Technology,Pretoria Campus,South Africa University of Johannesburg,Doornfontein Campus Buxton Street,South Africa
国际会议
武汉
英文
493-503
2018-08-21（万方平台首次上网日期，不代表论文的发表时间）