Techno-Economic Analysis of Data-Driven and Transactive Approaches for Resilience Enhancement

Yu, Min Gyung; Maharjan, Manisha; Poudel, Shiva; Mukherjee, Monish; Bender, Sadie R.; Hardy, Trevor D.; Reeve, Hayden M.

doi:10.1109/TIA.2025.3530871

Techno-Economic Analysis of Data-Driven and Transactive Approaches for Resilience Enhancement

Journal Article · Fri Jan 17 00:00:00 EST 2025 · IEEE Transactions on Industry Applications

DOI:https://doi.org/10.1109/TIA.2025.3530871· OSTI ID:2575097

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Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

As extreme weather events lead to more frequent power outages, understanding and enhancing grid resilience is critical to mitigating economic losses and non-energy impacts from service disruptions. Here, this study introduces a novel techno-economic analysis framework for evaluating resilience enhancement mechanisms. The framework combines grid response modeling with a co-simulation approach and valuation methodology to provide a comprehensive assessment. We apply this framework to a realistic case study of the Texas grid during Winter Storm Uri in February 2021. Two advanced resilience strategies are analyzed: a data-driven rolling outage mechanism and a transactive energy (TE) based allocation scheme. The rolling outage scheme selectively serves customers based on real-time curtailment needs, while the TE scheme allows customers to trade energy allocations according to their preferences. Our findings show that both the rolling outage and TE schemes significantly outperform conventional methods (i.e. controlled outages) by reducing the amount of energy not supplied to customers by 41% and 64%, respectively. These approaches also enhance flexibility and customer satisfaction, while improving energy utilization for greater resilience. Additionally, they maintain thermal comfort about 3.5 times better and substantially lower customer risk exposure. A key contribution of this study is addressing both utility and customer perspectives while considering both energy and non-energy impacts. The techno-economic analysis indicates that implementing these resilience enhancement strategies would incur an additional 1.1Bto1.6B in utility costs but has the potential to avoid 17.3Bto18B of customer losses as compared to existing solutions, thereby underscoring the value of investing in advanced resilience, as it provides significant societal benefits to customers.

View Accepted Manuscript (DOE)

Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE Office of Electricity (OE)

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 2575097

Report Number(s):: PNNL-SA--198359

Journal Information:: IEEE Transactions on Industry Applications, Journal Name: IEEE Transactions on Industry Applications Journal Issue: 2 Vol. 61; ISSN 0093-9994; ISSN 1939-9367

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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