An improved hybrid policy optimization method for economic-preference dispatch considering cross time-scales collaboration

In order to achieve real-time active power dispatch (RAPD) efficiently and economically in a large-scale power system with high proportion of renewable energy, deep reinforcement learning (DRL) based dispatching agent is constructed for dynamic decision-making of RAPD. However, existing DRL methods...

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Bibliographic Details
Main Authors: Qianli Zhang, Hao Tang, Duanchao Li
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:International Journal of Electrical Power & Energy Systems
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S014206152500300X
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