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Refined Frequency-Constrained Unit Commitment Under Converter-Induced Uncertain-Variability Through Bayesian Filtering
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DOI：10.1109/tpwrs.2026.3684036.png)
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Abstract
En 中文
The uncertain-variability features increasingly characterize the frequency dynamic processes of power systems due to the growing penetration of converter-interfaced generators. These features pose bottlenecks in maintaining system frequency security and selecting suitable scheduled commitments, which are addressed through Frequency-Constrained Unit Commitment (FCUC). To achieve this, a Bayesian-filter-derived System-Frequency-Response (BF-SFR) model is proposed in this work, which considers uncertain-variability features under complex imbalanced disturbances. On this basis, a highly flexible chance-constrained frequency dynamic constraint through BF-SFR is detailed. Through the proposed methodologies, both frequency dynamic trajectories and their posterior distribution can be well estimated, and the above distribution can provide key information for trading off the allowance of frequency dynamic risks and economic scheduled commitments, where existing analytical SFR and time-discrete SFR methods do not address. Furthermore, the chance-constrained frequency dynamic constraints are linearized using the max-min convex relaxation method and the sample average approximation (SSA) method, and subsequently integrated into UC. Then a refined FCUC (r-FCUC) is developed. Because the reformulated frequency constraints in r-FCUC account for potential uncertain-variability features, the resulting scheduled commitments are well suited to meet actual frequency requirements. Several results on a modified IEEE 6 bus test system and IEEE 118 bus test system are implemented to check the validity of the proposed methods.
Keywords:
Uncertain-variability feature
Bayesian filter
system frequency response
frequency-constrained unit commitment
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