Redefining Resilience for Utilities | Grid Mod Pod Ep. 69 with Michael Levy

Redefining Resilience for Utilities | Grid Mod Pod Ep. 69 with Michael Levy

🎙 Michael Levy 👥 981 📅 January 13, 2026 ⏱ 36 min 👁 505 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

resilienceSAIDImajor event dayscost-benefit analysisdata transparency

Summary

In this episode of the Grid Mod Pod, host Dr. Elizabeth Cook interviews Michael Levy, Partner and U.S. Utilities Lead at Baringa, about a new framework for measuring utility resilience. Levy argues that current reliability metrics like SAIDI and CAIDI exclude major event days (storms, wildfires, etc.), which misleads assessments of utility performance and fails to hold utilities accountable for resilience during extreme weather. He proposes a dual-metric framework: a multi-year SAIDI (MY-SAIDI) that includes major events over a 5-7 year period to smooth weather volatility, and a Major Event Restoration Time (MERT) metric to measure recovery speed. The framework aims to align incentives for utilities to invest in resilience while being fair. Levy emphasizes the importance of data transparency, cost-benefit analysis, and the ‘measure, monetize, manage’ approach to link regulators, utilities, and customers. He also discusses the use of counterfactual analysis to evaluate the effectiveness of resilience investments. The conversation highlights the need for updated metrics in the face of increasing extreme weather events and the role of customer expectations and affordability in driving investment decisions.

177 words

Critical Evaluation

Value of the Information & Strength of the Argument

The episode provides valuable insights into the limitations of current reliability metrics and proposes a concrete, actionable framework for measuring resilience. The argumentation is well-structured, building from the problem (exclusion of major events) to a solution (MY-SAIDI and MERT) and its practical implications. The speaker supports his claims with references to industry practices, such as the NARUC definition of resilience and the work of Lawrence Berkeley National Labs on the ICE calculator. The discussion is balanced, acknowledging challenges like customer affordability and the need for simple metrics. However, the argumentation could be strengthened by providing specific data or case studies to illustrate the effectiveness of the proposed framework.

Scientific Rigor, Source Quality, Title Accuracy

The episode references a white paper by SEPA and Baringa, but no direct links are provided in the description. The speaker mentions the NARUC definition of resilience and the ICE calculator from Lawrence Berkeley National Labs, but these are not detailed. The title accurately reflects the content, focusing on redefining resilience for utilities. The discussion is rigorous in its logical flow and use of established concepts, but lacks explicit citations or data sources within the episode. The description provides links to AEIC’s website, LinkedIn, and Spotify, but these are general and not directly related to the paper. Overall, the scientific rigor is moderate, with a reliance on expert opinion rather than detailed evidence.

236 words

Title / Content Match

The title accurately reflects the episode's focus on redefining resilience metrics for utilities, with a specific framework proposed.

Quality & Reliability

7/10

The discussion is based on a published white paper by SEPA and Baringa, and the speaker is a partner at Baringa with 16 years of utility consulting experience. The content is coherent and references established concepts (SAIDI, CAIDI, NARUC definition), but lacks detailed citations or data sources within the episode.

Key Moments

Cited Sources

Concurring Sources

Dissenting Sources

  • None — No discordant sources were mentioned in the episode.

Contribution & Novelties

The episode introduces a novel dual-metric framework for measuring utility resilience, addressing a gap in current reliability metrics. The proposal of MY-SAIDI (multi-year SAIDI) that includes major events over a 5-7 year period is a practical solution to smooth weather volatility while holding utilities accountable. The complementary MERT metric focuses on recovery speed, providing a more complete picture of resilience. The discussion also emphasizes the importance of data transparency and cost-benefit analysis in justifying resilience investments.

Pour aller plus loin :

117 words

Radar Profile

The radar profile shows balanced scores across all dimensions, with slightly higher scores in information quantity and quality, reflecting a well-structured discussion. The technical level is moderate, suitable for a professional audience, and the overall reliability is solid due to the speaker's expertise and reference to a published white paper.

Reliability 7/10

💬 No comments were provided for analysis.