Hydropower Unit Commitment Using a Genetic Algorithm with Dynamic Programming

Hydropower Unit Commitment Using a Genetic Algorithm with Dynamic Programming

This study presents a genetic algorithm integrated with dynamic programming to address the challenges of the hydropower unit commitment problem, which is a nonlinear, nonconvex, and discrete optimization, involving the hourly scheduling of generators in a hydropower system to maximize benefits and m...

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Bibliographic Details
Main Authors: Shuangquan Liu, Pengcheng Wang, Zifan Xu, Zhipeng Feng, Congtong Zhang, Jinwen Wang, Cheng Chen
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Energies
Subjects:
hydropower unit commitment (HUC)
dynamic programming (DP)
genetic algorithm (GA)
progressive generating discharge allocation (PGDA)
Online Access:https://www.mdpi.com/1996-1073/16/15/5842

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