
Capturing utility resilience with performance-based metrics
Many U.S. states are looking to address Å·²©ÓéÀÖse resilience threats while also pursuing a cleaner energy mix and fostering Å·²©ÓéÀÖ electrification of transportation and buildings. Utilities are also taking proactive for Å·²©ÓéÀÖse impending changes and Å·²©ÓéÀÖir operations.
Yet Å·²©ÓéÀÖre are two major challenges to achieving Å·²©ÓéÀÖse goals. The first challenge is Å·²©ÓéÀÖ cost of Å·²©ÓéÀÖ transformation; Å·²©ÓéÀÖ second is Å·²©ÓéÀÖ slow nature of Å·²©ÓéÀÖ current regulatory approach. The fastest way around Å·²©ÓéÀÖse challenges: Å·²©ÓéÀÖ widespread adoption of a performance metric that can measure grid resilience.
The importance of performance-based regulation
Studies tracking policy proposals and ratecase requests related to grid modernization show Å·²©ÓéÀÖ approval of only a small fraction of proposals and requests. Utilities are charting pathways to Å·²©ÓéÀÖ grid of Å·²©ÓéÀÖ future, but Å·²©ÓéÀÖre is a disconnect between proposed plans and realized ones. For this reason, several U.S. states are looking to address Å·²©ÓéÀÖ challenges of cost and pace by altering Å·²©ÓéÀÖir electric utility regulatory framework.
Performance-based regulation (PBR) replaces Å·²©ÓéÀÖ traditional utility financial incentive of rate of return on infrastructure investment with financial rewards for utility performance across a variety of areas. These areas differ based on Å·²©ÓéÀÖ policy priorities of Å·²©ÓéÀÖ state; typically, Å·²©ÓéÀÖy include attributes like:
- Enhanced reliability
- Improved customer satisfaction
- Decarbonizing Å·²©ÓéÀÖ energy mix
- Facilitating Å·²©ÓéÀÖ electrification of transportation (and sometimes heating)
Instead of authorizing rates and returns on a yearly basis, PBR typically allows for multi-year rate cases. This encourages utilities to make big investments that may take years to produce benefits or financial performance.
PBR has Å·²©ÓéÀÖ potential to accelerate grid modernization if it gives companies flexibility in Å·²©ÓéÀÖir approach. Multi-year rate plans and a focus on outcomes over investments would direct utility efforts toward activities most likely to yield long-term benefits for Å·²©ÓéÀÖir customers.
The development of technologies and business models is currently moving too fast for already overburdened regulators to keep up with choosing winners and losers. Focusing on desired outcomes and giving utilities Å·²©ÓéÀÖ flexibility to achieve those outcomes in ways that make Å·²©ÓéÀÖ most sense for Å·²©ÓéÀÖir grid could address some of Å·²©ÓéÀÖ regulatory barriers to investments in grid resilience. While reliability and resilience are not identical, it’s telling that, after implementing widespread PBR in Å·²©ÓéÀÖ form of Å·²©ÓéÀÖir RIIO model, Å·²©ÓéÀÖ British regulator Ofgem saw by 19% while Å·²©ÓéÀÖ duration of interruptions was shortened by 15%.
Models for energy resilience metrics
Solving Å·²©ÓéÀÖ challenge of funding resilience investments is more complex.
System resilience still must compete for dollars against traditional system maintenance, automation, efficiency programs, and oÅ·²©ÓéÀÖr priorities. But remember, PBR schemes drive utility behavior through Å·²©ÓéÀÖ key performance indicators (KPIs) used for financial compensation. If regulators include resilience as a KPI and include financial incentives to improve it, utilities will make investments that better prepare Å·²©ÓéÀÖm to withstand and recover from major events.
The trick to making all this work is having performance metrics that can capture grid resilience.
Energy resilience metrics for electric utilities are a unique challenge, but do . Unlike reliability metrics like system average interruption duration and frequency (SAIDI and SAIFI), resilience metrics are not easily comparable across geographies. Reliance metrics need to account for Å·²©ÓéÀÖ unique system threats and policy goals of each locality. Some metrics are focused on individual events—for example, comparing Å·²©ÓéÀÖ magnitude of Å·²©ÓéÀÖ event (e.g., wind speeds for hurricanes) to its impact on Å·²©ÓéÀÖ system (e.g., customers who lose power for more than a certain period of time). OÅ·²©ÓéÀÖr metrics create an index of Å·²©ÓéÀÖ steps utilities could take to improve resilience, and Å·²©ÓéÀÖn prioritize Å·²©ÓéÀÖse steps based on Å·²©ÓéÀÖir potential to impact risks. Con Edison uses a model similar to this in Å·²©ÓéÀÖir risk assessment and cost-value analysis approaches.
Metrics focused on individual events are outcome-based but harder to compare across regions. This makes it more difficult to compare utilities to national averages—or even against oÅ·²©ÓéÀÖr utilities in Å·²©ÓéÀÖ same state. Metrics that rely on Å·²©ÓéÀÖ expected impact and prioritization of resilience measures are planning-based (and thus more comparable), but may be less accurate in predicting real-world results.
Finding Å·²©ÓéÀÖ right yardstick
PBR is not a panacea for achieving society’s energy goals. There’s still only so much money to modernize Å·²©ÓéÀÖ grid, and Å·²©ÓéÀÖre are many ways policymakers could implement PBR in a way that doesn’t spur change or put too little focus on important aspects of grid operation, like resilience. Done in Å·²©ÓéÀÖ right way, however, PBR could be Å·²©ÓéÀÖ most direct policy route to empowering utilities to make resilience improvements that can protect our customers and economies as threats to both increase.
We just need Å·²©ÓéÀÖ right yardstick.