Unlocking Seasonal Capacity Value: A Sub-Annual Capacity Market for Economic Robustness

As variable renewable energy penetration increases, resource adequacy becomes strongly seasonal, while annual accreditation can mask temporal reliability differences. This paper proposes a Sub-Annual Capacity Market and compares it with an Annual Capacity Market and an uncapped Energy-Only benchmark. Capacity credits are calculated using a marginal ELCC formulation based on Expected Energy Not Served and embedded into phase-specific clearing constraints. Using a Shanxi case study, we examine both deterministic and stochastic settings with 151 jointly perturbed load and renewable scenarios. Results show that ACM and SubACM can both approximate EO outcomes when parameters are well calibrated, but SubACM yields more stable economic performance under uncertainty, with 29% lower cost-deviation standard deviation and 67% fewer tail-risk scenarios, as confirmed by formal dispersion tests. The main benefit of sub-annual design is improved temporal alignment between capacity payments and physical reliability contribution, rather than guaranteed large average cost reductions.

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Publication Details

Journal
Energies
Published
2026-04-16
DOI
https://doi.org/10.3390/en19081924
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Unlocking Seasonal Capacity Value: A Sub-Annual Capacity Market for Economic Robustness

Qingmeng Meng, Huiqiang Zhi, Peng Zou, Shuailong Zhang et al.
Energies
Integrated Energy Systems Optimization
article

Unlocking Seasonal Capacity Value: A Sub-Annual Capacity Market for Economic Robustness

Qingmeng Meng, Huiqiang Zhi, Peng Zou, Shuailong Zhang, Xingquan Zhao
article en

Abstract

As variable renewable energy penetration increases, resource adequacy becomes strongly seasonal, while annual accreditation can mask temporal reliability differences. This paper proposes a Sub-Annual Capacity Market and compares it with an Annual Capacity Market and an uncapped Energy-Only benchmark. Capacity credits are calculated using a marginal ELCC formulation based on Expected Energy Not Served and embedded into phase-specific clearing constraints. Using a Shanxi case study, we examine both deterministic and stochastic settings with 151 jointly perturbed load and renewable scenarios. Results show that ACM and SubACM can both approximate EO outcomes when parameters are well calibrated, but SubACM yields more stable economic performance under uncertainty, with 29% lower cost-deviation standard deviation and 67% fewer tail-risk scenarios, as confirmed by formal dispersion tests. The main benefit of sub-annual design is improved temporal alignment between capacity payments and physical reliability contribution, rather than guaranteed large average cost reductions.

EnergiesVol. 19(8)
State Grid Corporation of China (China) (CN), Ion Exchange (India) (IN), Tsinghua University (CN)
Affordable and clean energy
Openalex Percentile: Top 23%
Integrated Energy Systems Optimization
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