Renewable Scenario Generation Based on the Hybrid Genetic Algorithm with Variable Chromosome Length

Renewable Scenario Generation Based on the Hybrid Genetic Algorithm with Variable Chromosome Length

Determining the operation scenarios of renewable energies is important for power system dispatching. This paper proposes a renewable scenario generation method based on the hybrid genetic algorithm with variable chromosome length (HGAVCL). The discrete wavelet transform (DWT) is used to divide the o...

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Bibliographic Details
Main Authors: Xiaoming Liu, Liang Wang, Yongji Cao, Ruicong Ma, Yao Wang, Changgang Li, Rui Liu, Shihao Zou
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Energies
Subjects:
ARIMA model
copula function
genetic algorithm
renewable energy
scenario generation
Online Access:https://www.mdpi.com/1996-1073/16/7/3180

Internet

https://www.mdpi.com/1996-1073/16/7/3180

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