A Probabilistic Reserve Decision-Making Method Based on Cumulative Probability Approximation for High-Penetration Renewable Energy Power System

Probabilistic modeling of net load forecast errors is an important approach for reserve decision-making in power systems with a high penetration of renewable energy. However, existing probabilistic modeling methods face issues such as insufficient estimation accuracy in the small probability interva...

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Автори:	Yun Yang, Zichao Meng, Guobing Wu, Zhanxin Yang, Ruipeng Guo
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2025-05-01
Серія:	Energies
Предмети:	reserve decision-making net load forecast error cumulative probability distribution normal distribution model key points small probability interval of the tail
Онлайн доступ:	https://www.mdpi.com/1996-1073/18/10/2658
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