An AGC Dynamic Optimization Method Based on Proximal Policy Optimization

An AGC Dynamic Optimization Method Based on Proximal Policy Optimization

The increasing penetration of renewable energy introduces more uncertainties and creates more fluctuations in power systems than ever before, which brings great challenges for automatic generation control (AGC). It is necessary for grid operators to develop an advanced AGC strategy to handle fluctua...

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Bibliographic Details
Main Authors: Zhao Liu, Jiateng Li, Pei Zhang, Zhenhuan Ding, Yanshun Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Energy Research
Subjects:
automatic generation control
advanced optimization strategy
deep reinforcement learning
renewable energy
proximal policy optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.947532/full

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https://www.frontiersin.org/articles/10.3389/fenrg.2022.947532/full

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