Reliability target setting of power distribution systems using data envelopment analysis
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Abstract
This paper presents a Data Envelopment Analysis (DEA) based method to evaluate the efficiency of power distribution systems in urban, industrial, and rural areas, with the aim of setting appropriate reliability targets by comparing the performance of individual distribution feeders (known as Decision Making Units or DMUs), the DEA analysis considered factors such as load density, insulated cable percentage, and protective device count as inputs, and the reliability indices System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI) as outputs. The DEAP 2.1 software was used for the DEA analysis, and the results were analyzed to establish the reliability targets for individual feeders, in order to improve the reliability of the power distribution systems.
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