Unit Commitment Considering dynamic frequency constraint and Multiple Uncertainties

Load-side inertia contributes approximately 20% of the system's total inertia, yet it is often overlooked in unit commitment models that incorporate frequency security constraints. This paper proposes a frequency-secured unit commitment model that considers the dual uncertainties of load-side inertia and wind power generation. Normal and Gaussian distributions are used to characterize the prediction errors of wind power and load-side inertia, respectively. The model is developed based on the scenario method and chance constraints. Case studies demonstrate that incorporating load-side inertia improves both the system’s economic efficiency and frequency stability.

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Published
2024-12-06
DOI
https://doi.org/10.1109/icips64173.2024.10900046
Primary Topic
Electric Power System Optimization
Type
article
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article

Unit Commitment Considering dynamic frequency constraint and Multiple Uncertainties

Hengyi Liu, Lizheng Shao, Jing Ye, Hongbo Wang
Electric Power System Optimization
article

Unit Commitment Considering dynamic frequency constraint and Multiple Uncertainties

Hengyi Liu, Lizheng Shao, Jing Ye, Hongbo Wang
article en

Abstract

Load-side inertia contributes approximately 20% of the system's total inertia, yet it is often overlooked in unit commitment models that incorporate frequency security constraints. This paper proposes a frequency-secured unit commitment model that considers the dual uncertainties of load-side inertia and wind power generation. Normal and Gaussian distributions are used to characterize the prediction errors of wind power and load-side inertia, respectively. The model is developed based on the scenario method and chance constraints. Case studies demonstrate that incorporating load-side inertia improves both the system’s economic efficiency and frequency stability.

China Three Gorges University (CN), State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 74%
Electric Power System Optimization
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