Towards Robust and Scalable Dispatch Modeling of Long-Duration Energy Storage
Omar J. Guerra, Sourabh Dalvi, Amogh A. Thatte, Brady, Cowiestoll, Jennie Jorgenson, Bri-Mathias Hodge

TL;DR
This paper reviews challenges in modeling long-duration energy storage (LDES), evaluates existing approaches using high-renewable power systems, and highlights the potential for improved dispatch methods to enhance operational value and cost savings.
Contribution
It provides a comprehensive assessment of current LDES dispatch modeling approaches, compares their scalability and effectiveness, and identifies key areas for future research to improve robustness and applicability.
Findings
Better dispatch modeling could increase operational value by 4-14%.
Improved modeling can raise standard capacity credit by 14-34%.
The end volume target dispatch approach shows promising scalability and performance.
Abstract
Existing modeling approaches for long-duration energy storage (LDES) are often based either on an oversimplified representation of power system operations or limited representation of storage technologies, e.g., evaluation of only a single application. This manuscript presents an overview of the challenges of modeling LDES technologies, as well as a discussion regarding the capabilities and limitations of existing approaches. We used two test power systems with high shares of both solar photovoltaics- and wind (70% - 90% annual variable renewable energy shares) to assess LDES dispatch approaches. Our results estimate that better dispatch modeling of LDES could increase the associated operational value by 4% - 14% and increase the standard capacity credit by 14% - 34%. Thus, a better LDES dispatch could represent significant cost saving opportunities for electric utilities and system…
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Taxonomy
TopicsMicrogrid Control and Optimization · Power Systems and Renewable Energy · Frequency Control in Power Systems
