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Title: Impact of Storage Dispatch Assumptions on Resource Adequacy and Capacity Credit

Conference ·

Representing energy-limited resources in power system probabilistic resource adequacy assessment introduces new considerations that invalidate classical modeling assumptions. In particular, such resources have multi-period operating objectives and constraints that in real systems are addressed via a sequence of rolling intertemporal optimizations. Ideally, adequacy models would develop dispatch decisions by solving a similar sequence of problems, but this approach has historically been too computationally intensive for practical use in Monte Carlo simulations, with studies making use of simplifying approximations instead. These simplifications have the potential to distort the assessed value of energy-limited resources on the system.This work describes three classes of storage dispatch assumptions in current use and discusses their theoretical differences. It then provides an empirical analysis of their differences on test systems with different levels of storage, assessing the potential for a study's modeling assumptions to influence the perceived contribution of energy-limited resources.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Grid Modernization Laboratory Consortium
DOE Contract Number:
Report Number(s):
NREL/CP-6A40-81825; MainId:82598; UUID:d2b3ce2b-b291-4448-816d-b4e61c5ed9ae; MainAdminID:65146
Resource Relation:
Conference: Presented at the 2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), 12-15 June 2022, Manchester, United Kingdom
Country of Publication:
United States

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