By improving their ability to manage Cold Load Pickup (CLPU), a Utility Transmission & Distribution (T&D) provider has been able to improve their service delivery and will have more actionable insights into future CAPEX/OPEX send.
Challenge
Faults, overcurrent events, and other abnormal system transients often lead to loss of service for the utility provider's customers. Quickly restoring power without triggering another overcurrent breaker trip requires precise Cold Load Pickup (CLPU) prediction. This is essential for determining the optimal sequence and combination of restoration operations. The inability to effectively manage CLPU led to less efficient outage recoveries and hindered the prioritization of future capital investments, impacting their SAIDI (System Average Interruption Duration Index) score.
Solution
Arundo delivered a fully developed software package designed to empower the utility provider's team. This package enabled the team to pull property usage statistics, gather county-level data, and connect usage and property demographic data. To further support their digital transformation, Arundo also built the customer's Data Science capability through targeted training. The provided tools also included outlier detection, which can be utilized to address efficiency efforts on a residential basis.
Impact
The solution equipped the utility provider to better plan outage recoveries. By having more accurate and actionable insights into CLPU, they can determine the most efficient restoration sequence, minimizing delays and further disruptions. Additionally, the advanced data analytics provide a more informed basis for prioritizing future capital investments, ensuring resources are allocated strategically to improve overall grid reliability and customer satisfaction.
