In the Philippines, events like typhoons, earthquakes, and volcanic eruptions can cause widespread and lengthy power interruptions, resulting in days with unusually high reliability indices or major event days (MEDs). There can also be days with very high reliability indices, prompting a new classification called catastrophic days (CDs). As both MEDs and CDs increase the values of reliability indices, it is important to identify and remove them from the data set in order to better evaluate the performance of distribution utilities. However, the conventional method of determining MEDs is insufficient in identifying CDs. In this study, heuristic, and box and whisker methods were applied to the five-year outage data of an electric cooperative to determine the CDs. In addition, events that have occurred in the identified MEDs and CDs were traced back using reports from government agencies. Results showed that the number of identified CDs using the heuristic method is highly dependent on the chosen beta multiplier. In contrast, only a single CD was identified using the box and whisker method. The study’s findings can be used as a policy guideline for distribution utility operators to identify CDs instead of subjectively removing days with high reliability indices.
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