Solution
Our team was engaged by TECO to employ a resilience-based planning approach to identify hardening projects and prioritize investment in the transmission and distribution system. Utilizing a data-driven decision-making methodology through our Storm Resilience Model, we employed robust and sophisticated algorithms to calculate the resilience benefit of hardening projects in terms of reduced restoration costs and Customer Minutes Interrupted (CMI).
The model is designed to evaluate the impact on TECO’s system for nearly 100 storm scenarios against 20,000 potential hardening projects, each developed at the protection device level for laterals or circuit level for feeders and transmission circuits. This allows the model to associate assets with customers, and thus inform development of projects that are customer centric.
The model also leverages geospatial analytics to evaluate vegetation density, span by span, across the entire system as well right-of-way access. Additionally, we leveraged wood pole asset health algorithms and sophisticated storm surge modeling within the model to understand the likelihood of asset failure during a storm and the impact that failure will have on customers.
Monte Carlo analysis simulated storm events over the next 50 years, creating 1,000 storm futures. Each subsystem section was evaluated before and after hardening for each of these storm futures to generate a range in customer benefits from a restoration cost and CMI reduction perspective.
Finally, the model performed a budget optimization to identify the point of diminishing returns, where additional hardening investment offers minimal value to customers.