Topic:"Distribution" in M12728

\ This table represents the percentage of customers restored within 6, 12, 24, or 48 hours of the start of the storm, rather than the start of their individual outage. Zone Customers Impacted (CI) Unique Customers Impacted Customer Hours o...

AI summary This table provides data on the percentage of customers restored within specific timeframes after a storm, based on the start of the storm rather than individual outages. It includes metrics such as impacted customers and customer hours of interruptions across different zones in Nova Scotia.

SECTION 4: PROVINCIAL HIGHLIGHTS Zone Date/ Time Weather Station Direction (Degrees) Wind (km/h) Max Wind Gusts (km/h) Temp (°C) Cause Sub-Cause Description Customers Impacted Duration (Hours) CB East 12/19/2025 21:26 Sydney 190 48 70 11 T...

AI summary This section provides a summary of provincial highlights, focusing on weather-related power outages in Nova Scotia. It lists incidents with details such as location, time, weather conditions, cause, number of customers impacted, and duration of outages.

Customers Restored within X hours of Storm Onset Valley % Within 6 Hrs 36.01% Within 12 Hrs 47.74% Within 24 Hrs 89.77% Within 48 Hrs 99.78% This table represents the percentage of customers restored within 6, 12, 24, or 48 hours of the st...

AI summary The table shows the percentage of customers restored in the Valley region within specific timeframes after a storm. The average restoration time was 20.07 hours, with 36.01% of customers restored within 6 hours and 99.78% within 48 hours.

Foreign interference Interruptions due to external contacts beyond the control of the utility (e.g. Birds, animals, vehicles, dig -ins, or other foreign objects)

AI summary The text discusses interruptions in utility services caused by external factors such as birds, animals, vehicles, dig-ins, and other foreign objects, which are beyond the control of the utility.

1 Request IR-5: 2 - 3 Please provide a comprehensive list of all outages classified as resulting from equipment - 4 failure or mechanical failure. For each outage, include: 5 6 (a) The type of equipment involved; 7 8 (b) The age of the equ...

AI summary The request asks for a comprehensive list of outages caused by equipment failure, including details on equipment type, age, prior defects, and findings from post-event reviews. The response refers to Attachment 1 and provides information on outages during the Dec 19-20 20 storm event, including CHI and event counts.

NON-CONFIDENTIAL 1 (d) NS Power does not re‑evaluate all equipment failures associated with weather‑related 2025-12-20 93V-311 901.7 15.0 1 15.0275 Defective Equipment Electrical Failure Event Day Secondary Aerial Conductor 2025-12-20 93V-...

AI summary The text presents a table of equipment failures reported by NS Power, including details such as dates, locations, costs, and types of failures. The data highlights various instances of defective equipment leading to interruptions, with associated metrics like SAIDI and SAIFI.

(a) The number of unique customers affected and the duration of the outage; (b) Whether system redundancy existed and how it functioned during the event; and (c) Whether this failure mode had been previously identified in planning studies...

AI summary Thirteen outage events occurred during a December 19-20 storm due to a broken transmission line lead in a substation caused by high winds, affecting 19,379 customers with outages lasting 4.5 to 8.5 hours. The outage was due to a single initiating event on the transmission system, and three of the four affected substations had radial transmission lines, preventing customer restorations until the source was restored.

For each zone, explain and quantify the expected differences in the number of customers impacted and the duration of outages. Response IR-13: (a) No. (b) N/A (c) In this event, no customer impacts were ultimately the result of outages to t...

AI summary NS Power explains that the deployment of DLR technology on transmission lines will allow for real-time monitoring and pre-emptive corrective actions, reducing the likelihood of outages caused by adverse weather conditions such as heavy wet snow and freezing rain. This is expected to minimize customer impacts and outage durations in future events.