PCE-Guided Reliability-Aware Intraday Reserve Dispatch with Wind Headroom and Fast-Start Backup

High shares of renewable generation make intraday dispatch sensitive to forecast error, reserve deliverability, and credible equipment outages. This paper presents a Polynomial Chaos Expansion (PCE)-guided reliability-aware reserve policy that coordinates thermal reserve, withheld wind-power headroom, and fast-start backup. The PCE output shapes the hourly probabilistic reserve band, whereas loss-of-load probability (LOLP) and expected energy not supplied (EENS) are independently evaluated on held-out scenarios. A paired six-policy ablation separates the contributions of PCE shaping, wind headroom, and fast-start backup. The results show that wind headroom without firm backup is not equivalent to thermal reserve, whereas adding fast-start backup restores reliability and yields the least-cost reliable policy; relative to the feasible PCE thermal-only policy, the complete joint policy reduces held-out cost by 7.59% while retaining a comparable LOLP. In a posterior unit-outage trajectory, the joint policy markedly reduces unserved energy through fast-start deployment and available wind headroom. A separate exact-dual Benders benchmark reaches the same objective as the single-cut benchmark with fewer iterations and less recorded CPU time.

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Publication Details

Journal
Applied Sciences
Published
2026-09-16
DOI
https://doi.org/10.3390/app16189181
Primary Topic
Electric Power System Optimization
Type
article
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PCE-Guided Reliability-Aware Intraday Reserve Dispatch with Wind Headroom and Fast-Start Backup

Yunting Song, Shiji Wang, Zhihong Liu, Zihao Wu et al.
Applied Sciences
Electric Power System Optimization
article

PCE-Guided Reliability-Aware Intraday Reserve Dispatch with Wind Headroom and Fast-Start Backup

Yunting Song, Shiji Wang, Zhihong Liu, Zihao Wu, Bo Hu, Qian Wang
article en

Abstract

High shares of renewable generation make intraday dispatch sensitive to forecast error, reserve deliverability, and credible equipment outages. This paper presents a Polynomial Chaos Expansion (PCE)-guided reliability-aware reserve policy that coordinates thermal reserve, withheld wind-power headroom, and fast-start backup. The PCE output shapes the hourly probabilistic reserve band, whereas loss-of-load probability (LOLP) and expected energy not supplied (EENS) are independently evaluated on held-out scenarios. A paired six-policy ablation separates the contributions of PCE shaping, wind headroom, and fast-start backup. The results show that wind headroom without firm backup is not equivalent to thermal reserve, whereas adding fast-start backup restores reliability and yields the least-cost reliable policy; relative to the feasible PCE thermal-only policy, the complete joint policy reduces held-out cost by 7.59% while retaining a comparable LOLP. In a posterior unit-outage trajectory, the joint policy markedly reduces unserved energy through fast-start deployment and available wind headroom. A separate exact-dual Benders benchmark reaches the same objective as the single-cut benchmark with fewer iterations and less recorded CPU time.

Applied SciencesVol. 16(18)
North China Electric Power University (CN), Chongqing University (CN), State Grid Corporation of China (China) (CN), Thermal Power Research Institute (CN), China Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 20%
Electric Power System Optimization
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PCE-Guided Reliability-Aware Intraday Reserve Dispatch with Wind Headroom and Fast-Start Backup — Yunting Song, Shiji Wang, et al. · Applied Sciences (2026) | TGRS Research Map | TGRS