English

Resource Adequacy and Capacity Procurement: Metrics and Decision Support Analysis

Applications 2023-09-13 v1

Abstract

Resource adequacy studies typically use standard metrics such as Loss of Load Expectation and Expected Energy Unserved to quantify the risk of supply shortfalls. This paper critiques present approaches to adequacy assessment and capacity procurement in terms of their relevance to decision maker interests, before demonstrating alternatives including risk-averse metrics and visualisations of wider risk profile. This is illustrated with results for a Great Britain example, in which the risk profile varies substantially with the installed capacity of wind generation. This paper goes beyond previous literature through its critical discussion of how current practices reflect decision maker interests; and how decision making can be improved using a broader range of outputs available from standard models.

Keywords

Cite

@article{arxiv.2309.06119,
  title  = {Resource Adequacy and Capacity Procurement: Metrics and Decision Support Analysis},
  author = {Chris J. Dent and Nestor Sanchez and Aditi Shevni and Jim Q. Smith and Amy L. Wilson and Xuewen Yu},
  journal= {arXiv preprint arXiv:2309.06119},
  year   = {2023}
}

Comments

23 pages, 4 figures

R2 v1 2026-06-28T12:19:04.240Z